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Cefalo CMA, Riccio A, Succurro E, Marini MA, Fiorentino TV, Rubino M, Perticone M, Sciacqua A, Andreozzi F, Sesti G. Frequency of prediabetes in individuals with increased adiposity and metabolically healthy or unhealthy phenotypes. Diabetes Obes Metab 2024; 26:3191-3199. [PMID: 38720197 DOI: 10.1111/dom.15646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/21/2024] [Accepted: 04/22/2024] [Indexed: 07/10/2024]
Abstract
AIMS To utilize the estimated glucose disposal rate (eGDR) index of insulin sensitivity, which is based on readily available clinical variables, namely, waist circumference, hypertension and glycated haemoglobin, to discriminate between metabolically healthy and unhealthy phenotypes, and to determine the prevalence of prediabetic conditions. METHODS Non-diabetic individuals (n = 2201) were stratified into quartiles of insulin sensitivity based on eGDR index. Individuals in the upper quartiles of eGDR were defined as having metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW) or metabolically healthy obesity (MHO) according to their body mass index, while those in the lower quartiles were classified as having metabolically unhealthy normal weight (MUNW), metabolically unhealthy overweight (MUOW) and metabolically unhealthy obesity (MUO), respectively. RESULTS The frequency of impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and IFG + IGT status was comparable among the MHNW, MHOW and MHO groups, while it increased from those with MUNW status towards those with MUOW and MUO status. As compared with participants with MHNW, the odds ratio of having IFG, IGT, or IFG + IGT was significantly higher in participants with MUOW and MUO but not in those with MUNW, MHOW and MHO, respectively. CONCLUSIONS A metabolically healthy phenotype is associated with lower frequency of IFG, IGT, and IFG + IGT status across all body weight categories.
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Affiliation(s)
- Chiara M A Cefalo
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, Rome, Italy
| | - Alessia Riccio
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, Rome, Italy
| | - Elena Succurro
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | | | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Mariangela Rubino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Maria Perticone
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, Rome, Italy
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Iriarte-Campo V, de Burgos-Lunar C, Mostaza J, Lahoz C, Cárdenas-Valladolid J, Gómez-Campelo P, Taulero-Escalera B, San-Andrés-Rebollo FJ, Rodriguez-Artalejo F, Salinero-Fort MA. Incidence of T2DM and the role of baseline glycaemic status as a determinant in a metropolitan population in northern Madrid (Spain). Diabetes Res Clin Pract 2024; 209:111119. [PMID: 38307139 DOI: 10.1016/j.diabres.2024.111119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/16/2024] [Accepted: 01/25/2024] [Indexed: 02/04/2024]
Abstract
AIM To estimate the incidence of T2DM and assess the effect of pre-T2DM (isolated impaired fasting glucose [iIFG], isolated impaired glucose tolerance [iIGT] or both) on progress to T2DM in the adult population of Madrid. METHODS Population-based cohort comprising 1,219 participants (560 normoglycaemic and 659 preT2DM [418 iIFG, 70 iIGT or 171 IFG-IGT]). T2DM was defined based on fasting plasma glucose or HbA1c or use of glucose-lowering medication. We used a Cox model with normoglycaemia as reference category. RESULTS During 7.26 years of follow-up, the unadjusted incidence of T2DM was 11.21 per 1000 person-years (95 %CI, 9.09-13.68) for the whole population, 5.60 (3.55-8.41) for normoglycaemic participants and 16.28 (12.78-20.43) for pre-T2DM participants. After controlling for potential confounding factors, the baseline glycaemic status was associated with higher primary effect on developing T2DM was iIGT (HR = 3.96 [95 %CI, 1.93-8.10]) and IFG-IGT (3.42 [1.92-6.08]). The HR for iIFG was 1.67 (0.96-2.90). Obesity, as secondary effect, was strongly significantly associated (HR = 2.50 [1.30-4.86]). CONCLUSIONS Our incidence of T2DM is consistent with that reported elsewhere in Spain. While baseline iIGT and IFG-IGT behaved a primary effect for progression to T2DM, iIFG showed a trend in this direction.
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Affiliation(s)
- V Iriarte-Campo
- Foundation for Biosanitary Research and Innovation in Primary Care (FIIBAP), Madrid, Spain; Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain
| | - C de Burgos-Lunar
- Department of Preventive Medicine, San Carlos Clinical University Hospital, Madrid, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Madrid, Spain
| | - J Mostaza
- Lipid and Vascular Risk Unit, Department of Internal Medicine, Hospital Carlos III, Madrid, Spain
| | - C Lahoz
- Lipid and Vascular Risk Unit, Department of Internal Medicine, Hospital Carlos III, Madrid, Spain
| | - J Cárdenas-Valladolid
- Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; Alfonso X El Sabio University, Madrid, Spain
| | - P Gómez-Campelo
- Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; La Paz University Hospital Biomedical Research Foundation, Madrid, Spain
| | - B Taulero-Escalera
- Foundation for Biosanitary Research and Innovation in Primary Care (FIIBAP), Madrid, Spain; Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain
| | - F J San-Andrés-Rebollo
- Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; Centro de Salud Las Calesas, Madrid, Spain
| | - F Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP, Madrid, Spain; IMDEA-Food, CEI UAM+CSIC Madrid, Spain
| | - M A Salinero-Fort
- Foundation for Biosanitary Research and Innovation in Primary Care (FIIBAP), Madrid, Spain; Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Madrid, Spain.
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LeBlanc ES, Pittas AG, Nelson J, Chatterjee R, Rasouli N, Rhee MK, Pratley RE, Desouza CV, Neff LM, Peters AM, Dagogo-Jack S, Hsia DS. Racial differences in measures of glycemia in the Vitamin D and Type 2 Diabetes (D2d) Study: a secondary analysis of a randomized trial. BMJ Open Diabetes Res Care 2024; 12:e003613. [PMID: 38350671 PMCID: PMC10862329 DOI: 10.1136/bmjdrc-2023-003613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
INTRODUCTION Understanding how race may influence the association between A1c and glycemia can improve diabetes screening. We sought to determine whether, for a given A1c level, glucose levels during an oral glucose tolerance test (OGTT) differed by race. RESEARCH DESIGN AND METHODS From data collected at 22 US clinical sites, we conducted a cross-sectional study of concurrently measured A1c and OGTT and observational longitudinal follow-up of the subset with high-risk pre-diabetes. Numerical integration methods were used to calculate area under the glycemic curve (AUCglu) during OGTT and least squares regression model to estimate A1c for a given AUCglu by race, controlling for potential confounders. RESULTS 1016 black, 2658 white, and 193 Asian persons at risk of diabetes were included in cross-sectional analysis. Of these, 2154 with high-risk pre-diabetes were followed for 2.5 years. For a given A1c level, AUCglu was lower in black versus white participants. After adjustment for potential confounders, A1c levels for a given AUCglu quintile were 0.15-0.20 and 0.02-0.19 percentage points higher in black and Asian compared with white participants, respectively (p<0.05). In longitudinal analyses, black participants were more likely to be diagnosed with diabetes by A1c than white participants (28% vs 10%, respectively; p<0.01). Black and Asian participants were less likely to be diagnosed by fasting glucose than white participants (16% vs 15% vs 37%, respectively; p<0.05). Black participants with A1c levels in the lower-level quintiles had greater increase in A1c over time compared with white participants. CONCLUSIONS Use of additional testing beyond A1c to screen for diabetes may better stratify diabetes risk in the diverse US population.
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Affiliation(s)
- Erin S LeBlanc
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Anastassios G Pittas
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, Massachusetts, USA
| | - Jason Nelson
- Tufts Medical Center, Boston, Massachusetts, USA
| | | | - Neda Rasouli
- Endocrinology, Metabolism and Diabetes, University of Colorado Denver School of Medicine, Aurora, Colorado, USA
- Endocrinology, VA Eastern Colorado Health Care System, Denver, Colorado, USA
| | - Mary K Rhee
- Medicine/Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Richard E Pratley
- Translational Research Institute, AdventHealth Research Institute, Orlando, Florida, USA
| | | | - Lisa M Neff
- Northwestern Medicine, Chicago, Illinois, USA
| | - Anne M Peters
- Endocrinology, USC, Manhattan Beach, California, USA
| | - Samuel Dagogo-Jack
- Division of Endocrinology, Diabetes & Metabolism General Clinical Research Center, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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NCD Risk Factor Collaboration (NCD-RisC), Zhou B, Sheffer KE, Bennett JE, Gregg EW, Danaei G, Singleton RK, Shaw JE, Mishra A, Lhoste VPF, Carrillo-Larco RM, Kengne AP, Phelps NH, Heap RA, Rayner AW, Stevens GA, Paciorek CJ, Riley LM, Cowan MJ, Savin S, Vander Hoorn S, Lu Y, Pavkov ME, Imperatore G, Aguilar-Salinas CA, Ahmad NA, Anjana RM, Davletov K, Farzadfar F, González-Villalpando C, Khang YH, Kim HC, Laatikainen T, Laxmaiah A, Mbanya JCN, Narayan KMV, Ramachandran A, Wade AN, Zdrojewski T, Abbasi-Kangevari M, Rahim HFA, Abu-Rmeileh NM, Adambekov S, Adams RJ, Aekplakorn W, Agdeppa IA, Aghazadeh-Attari J, Agyemang C, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed SH, Ajlouni K, Al-Hinai H, Al-Lahou B, Al-Lawati JA, Asfoor DA, Al Qaoud NM, Alarouj M, AlBuhairan F, AlDhukair S, Aldwairji MA, Ali MM, Alinezhad F, Alkandari A, Alomirah HF, Aly E, Amarapurkar DN, Andersen LB, Anderssen SA, Andrade DS, Ansari-Moghaddam A, Aounallah-Skhiri H, Aris T, Arlappa N, Aryal KK, Assah FK, Assembekov B, Auvinen J, Avdičová M, Azad K, Azimi-Nezhad M, Azizi F, Bacopoulou F, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Baretić M, Barrera L, Basit A, Batieha AM, Batista AP, Baur LA, Belavendra A, Ben Romdhane H, Benet M, et alNCD Risk Factor Collaboration (NCD-RisC), Zhou B, Sheffer KE, Bennett JE, Gregg EW, Danaei G, Singleton RK, Shaw JE, Mishra A, Lhoste VPF, Carrillo-Larco RM, Kengne AP, Phelps NH, Heap RA, Rayner AW, Stevens GA, Paciorek CJ, Riley LM, Cowan MJ, Savin S, Vander Hoorn S, Lu Y, Pavkov ME, Imperatore G, Aguilar-Salinas CA, Ahmad NA, Anjana RM, Davletov K, Farzadfar F, González-Villalpando C, Khang YH, Kim HC, Laatikainen T, Laxmaiah A, Mbanya JCN, Narayan KMV, Ramachandran A, Wade AN, Zdrojewski T, Abbasi-Kangevari M, Rahim HFA, Abu-Rmeileh NM, Adambekov S, Adams RJ, Aekplakorn W, Agdeppa IA, Aghazadeh-Attari J, Agyemang C, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed SH, Ajlouni K, Al-Hinai H, Al-Lahou B, Al-Lawati JA, Asfoor DA, Al Qaoud NM, Alarouj M, AlBuhairan F, AlDhukair S, Aldwairji MA, Ali MM, Alinezhad F, Alkandari A, Alomirah HF, Aly E, Amarapurkar DN, Andersen LB, Anderssen SA, Andrade DS, Ansari-Moghaddam A, Aounallah-Skhiri H, Aris T, Arlappa N, Aryal KK, Assah FK, Assembekov B, Auvinen J, Avdičová M, Azad K, Azimi-Nezhad M, Azizi F, Bacopoulou F, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Baretić M, Barrera L, Basit A, Batieha AM, Batista AP, Baur LA, Belavendra A, Ben Romdhane H, Benet M, Berkinbayev S, Bernabe-Ortiz A, Berrios Carrasola X, Bettiol H, Beybey AF, Bhargava SK, Bika Lele EC, Bikbov MM, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boggia JG, Bonaccio M, Bonilla-Vargas A, Borghs H, Bovet P, Brajkovich I, Brenner H, Brewster LM, Brian GR, Briceño Y, Brito M, Bugge A, Buntinx F, Cabrera de León A, Caixeta RB, Can G, Cândido APC, Capanzana MV, Čapková N, Capuano E, Capuano R, Capuano V, Cardoso VC, Carlsson AC, Casanueva FF, Censi L, Cervantes‐Loaiza M, Chamnan P, Chamukuttan S, Chan Q, Charchar FJ, Chaturvedi N, Chen H, Cheraghian B, Chirlaque MD, Chudek J, Cifkova R, Cirillo M, Claessens F, Cohen E, Concin H, Cooper C, Costanzo S, Cowell C, Crujeiras AB, Cruz JJ, Cureau FV, Cuschieri S, D’Arrigo G, d’Orsi E, Dallongeville J, Damasceno A, Dastgiri S, De Curtis A, de Gaetano G, De Henauw S, Deepa M, DeGennaro V, Demarest S, Dennison E, Deschamps V, Dhimal M, Dika Z, Djalalinia S, Donfrancesco C, Dong G, Dorobantu M, Dörr M, Dragano N, Drygas W, Du Y, Duante CA, Duboz P, Dushpanova A, Dziankowska-Zaborszczyk E, Ebrahimi N, Eddie R, Eftekhar E, Efthymiou V, Egbagbe EE, Eghtesad S, El-Khateeb M, El Ati J, Eldemire-Shearer D, Elosua R, Enang O, Erasmus RT, Erbel R, Erem C, Ergor G, Eriksen L, Eriksson JG, Esmaeili A, Evans RG, Fakhradiyev I, Fall CH, Faramarzi E, Farjam M, Farzi Y, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernández-Bergés D, Ferrari M, Ferreccio C, Ferreira HS, Ferrer E, Feskens EJM, Flood D, Forsner M, Fosse S, Fottrell EF, Fouad HM, Francis DK, Frontera G, Furusawa T, Gaciong Z, Garnett SP, Gasull M, Gazzinelli A, Gehring U, Ghaderi E, Ghamari SH, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gianfagna F, Gill TK, Gironella G, Giwercman A, Goltzman D, Gomula A, Gonçalves H, Gonçalves M, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando ME, Gonzalez AR, Gottrand F, Grafnetter D, Grodzicki T, Grøntved A, Guerrero R, Gujral UP, Gupta R, Gutierrez L, Gwee X, Haghshenas R, Hakimi H, Hambleton IR, Hamzeh B, Hanekom WA, Hange D, Hantunen S, Hao J, Hari Kumar R, Harooni J, Hashemi-Shahri SM, Hata J, Heidemann C, Henrique RDS, Herrala S, Herzig KH, Heshmat R, Ho SY, Holdsworth M, Homayounfar R, Hopman WM, Horimoto ARVR, Hormiga C, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Huerta JM, Huhtaniemi IT, Huisman M, Husseini A, Huybrechts I, Iacoviello L, Iakupova EM, Iannone AG, Ibrahim Wong N, Ijoma C, Irazola VE, Ishida T, Isiguzo GC, Islam SMS, Islek D, Ittermann T, Iwasaki M, Jääskeläinen T, Jacobs JM, Jaddou HY, Jadoul M, Jallow B, James K, Jamil KM, Janus E, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jimenez RO, Jöckel KH, Jokelainen JJ, Jonas JB, Joshi P, Josipović J, Joukar F, Jóźwiak J, Kafatos A, Kajantie EO, Kalmatayeva Z, Karki KB, Katibeh M, Kauhanen J, Kazakbaeva GM, Kaze FF, Ke C, Keinänen-Kiukaanniemi S, Kelishadi R, Keramati M, Kersting M, Khader YS, Khaledifar A, Khalili D, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl SJ, Kiechl S, Kingston A, Klakk H, Klanova J, Knoflach M, Kolsteren P, König J, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kowlessur S, Koziel S, Kriemler S, Kristensen PL, Kromhout D, Kubinova R, Kujala UM, Kulimbet M, Kurjata P, Kyobutungi C, La QN, Labadarios D, Lachat C, Laid Y, Lall L, Lankila T, Lanska V, Lappas G, Larijani B, Latt TS, Laurenzi 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Montenegro Mendoza RA, Monterrubio-Flores E, Moosazadeh M, Moradpour F, Morejon A, Moreno LA, Morgan K, Morin SN, Moslem A, Mosquera M, Mossakowska M, Mostafa A, Mostafavi SA, Motlagh ME, Motta J, Msyamboza KP, Mu TT, Muiesan ML, Mursu J, Musa KI, Mustafa N, Muyer MTMC, Nabipour I, Nagel G, Naidu BM, Najafi F, Námešná J, Nangia VB, Naseri T, Neelapaichit N, Nejatizadeh A, Nenko I, Nervi F, Ng TP, Nguyen CT, Nguyen QN, Ni MY, Nie P, Nieto-Martínez RE, Ninomiya T, Noale M, Noboa OA, Noto D, Nsour MA, Nuhoğlu I, O’Neill TW, Odili AN, Oh K, Ohtsuka R, Omar MA, Onat A, Ong SK, Onodugo O, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostovar A, Otero JA, Ottendahl CB, Otu A, Owusu-Dabo E, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Paoli M, Park S, Parsaeian M, Patel ND, Pechlaner R, Pećin I, Pedro JM, Peixoto SV, Peltonen M, Pereira AC, Pessôa dos Prazeres TM, Peykari N, Phall MC, Pham ST, Phan HH, Pichardo RN, Pikhart H, Pilav A, Piler P, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, 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SK, Sharman A, Shayanrad A, Shayesteh AA, Shimizu-Furusawa H, Shiri R, Shrestha N, Si-Ramlee K, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Soumaré A, Sousa-Poza A, Sparrenberger K, Staessen JA, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stessman J, Stokwiszewski J, Stronks K, Suarez-Ortegón MF, Suebsamran P, Sundström J, Suriyawongpaisal P, Sylva RC, Szklo M, Tamosiunas A, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tello T, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thrift AG, Timmermans EJ, Tjandrarini DH, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Torres-Collado L, Traissac P, Triantafyllou A, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tuomainen TP, Tzala E, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Uusitalo HMT, Valdivia G, van den Born BJ, Van der Heyden J, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Vasan SK, Vega T, Velasquez-Melendez G, Verstraeten R, Viet L, Villalpando S, Vioque J, Virtanen JK, Viswanathan B, Voutilainen A, Wan Bebakar WM, Wan Mohamud WN, Wang C, Wang N, Wang Q, Wang YX, Wang YW, Wannamethee SG, Webster-Kerr K, Wedderkopp N, Wei W, Westbury LD, Whincup PH, Widhalm K, Widyahening IS, Więcek A, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong A, Wong EB, Woodward M, Wu FC, Xu H, Xu L, Yaacob NA, Yan L, Yan W, Yoosefi M, Yoshihara A, Younger-Coleman NO, Yu YL, Yu Y, Yusoff AF, Zainuddin AA, Zamani F, Zambon S, Zampelas A, Zaw KK, Zeljkovic Vrkic T, Zeng Y, Zhang ZY, Zholdin B, Zimmet P, Zitt E, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nat Med 2023; 29:2885-2901. [PMID: 37946056 PMCID: PMC10667106 DOI: 10.1038/s41591-023-02610-2] [Show More Authors] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 09/25/2023] [Indexed: 11/12/2023]
Abstract
Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.
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Villasmil MGP, Ryckman KK, Norris AW, Pinnaro CT. Screening for Turner Syndrome-Associated Hyperglycemia: Evaluating Hemoglobin A1c and Fasting Blood Glucose. Horm Res Paediatr 2023; 97:374-382. [PMID: 37788658 PMCID: PMC10987397 DOI: 10.1159/000534371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/19/2023] [Indexed: 10/05/2023] Open
Abstract
INTRODUCTION Individuals with Turner syndrome (TS) are at increased risk of developing diabetes mellitus (DM). Currently, annual DM screening with hemoglobin A1c (HbA1c) with or without fasting blood glucose (FBG) is recommended starting at age 10. However, the optimal DM screening for individuals with TS is not known. The purpose of this study was to evaluate the correlation between HbA1c, FBG, and the 2-h oral glucose tolerance test (OGTT). A second goal was to query whether optimal HbA1c and FBG cut points for TS-associated DM and impaired glucose tolerance (IGT), as defined by the OGTT 2-h blood glucose (BG), might differ from those for the general population. METHODS Individuals with TS ≥ age 10 from the TS: Genotype Phenotype study in the National Institute of Child Health and Human Development's Data and Specimen Hub (DASH) who had 2-h OGTT BG, HbA1c, and FBG were included. Correlations between HbA1c, FBG, and 2-h OGTT BG were evaluated. Areas under the receiver operative characteristic (ROC-AUC) curves were generated. Optimal cut points for predicting TS-associated IGT (2-h BG ≥7.77 mmol/L) and DM (2-h BG ≥11.10 mmol/L) were determined. RESULTS 348 individuals had complete data (2-h OGTT BG <7.77 mmol/L, n = 239; TS-associated IGT, n = 79; DM, n = 30). ROC-AUC was poor for HbA1c to predict IGT (0.57, 0.49-0.65) but better for DM (0.81, 0.71-0.90). ROC-AUC was also poor for FBG to predict IGT (0.63, 0.56-0.70) but better for DM (0.85, 0.77-0.93). At a cut point of 38 mmol/mol (5.6%), HbA1c had 67% sensitivity (95% CI: 47-83%) and 86% specificity (95% CI: 82-90%) for identifying TS-associated DM defined by 2-h OGTT BG. CONCLUSIONS The correlation of HbA1c and 2-h OGTT BG is lower in TS than in other published studies regarding type 2 DM. HbA1c is fairly specific for DM in TS but lacks sensitivity, especially at currently utilized levels. Future research should focus on characterizing individuals with TS whose glycemic status is discordant, as this may provide additional insights into the pathophysiology of glucose metabolism in TS. Longitudinal assessment of glycemia as it relates to micro- and macrovascular complications in individuals with TS will further inform DM screening in this population.
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Affiliation(s)
| | - Kelli K. Ryckman
- Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN
| | - Andrew W. Norris
- Stead Family Department of Pediatrics, Division of Endocrinology and Diabetes, University of Iowa, Iowa City, IA
- Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City, IA
| | - Catherina T. Pinnaro
- Stead Family Department of Pediatrics, Division of Endocrinology and Diabetes, University of Iowa, Iowa City, IA
- Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City, IA
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The Prognostic Significance of Early Glycemic Profile in Acute Ischemic Stroke Depends on Stroke Subtype. J Clin Med 2023; 12:jcm12051794. [PMID: 36902581 PMCID: PMC10003561 DOI: 10.3390/jcm12051794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 02/16/2023] [Accepted: 02/19/2023] [Indexed: 02/26/2023] Open
Abstract
It is still unclear whether early glycemic profile after admission for acute ischemic stroke (IS) has the same prognostic significance in patients with lacunar and non-lacunar infarction. Data from 4011 IS patients admitted to a Stroke Unit (SU) were retrospectively analyzed. Lacunar IS was diagnosed by clinical criteria. A continuous indicator of early glycemic profile was calculated as the difference of fasting serum glucose (FSG) measured within 48 h after admission and random serum glucose (RSG) measured on admission. Logistic regression was used to estimate the association with a combined poor outcome defined as early neurological deterioration, severe stroke at SU discharge, or 1-month mortality. Among patients without hypoglycemia (RSG and FSG > 3.9 mmol/L), an increasing glycemic profile increased the likelihood of a poor outcome for non-lacunar (OR, 1.38, 95%CI, 1.24-1.52 in those without diabetes; 1.11, 95%CI, 1.05-1.18 in those with diabetes) but not for lacunar IS. Among patients without sustained or delayed hyperglycemia (FSG < 7.8 mmol/L), an increasing glycemic profile was unrelated to outcome for non-lacunar IS but decreased the likelihood of poor outcome for lacunar IS (OR, 0.63, 95%CI, 0.41-0.98). Early glycemic profile after acute IS has a different prognostic significance in non-lacunar and lacunar patients.
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Nanditha A, Susairaj P, Raghavan A, Vinitha R, Satheesh K, Nair DR, Jeyaraj S, Snehalatha C, Ramachandran A. Concordance in incidence of diabetes among persons with prediabetes detected using either oral glucose tolerance test or glycated haemoglobin. Prim Care Diabetes 2022; 16:440-444. [PMID: 35337771 DOI: 10.1016/j.pcd.2022.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 10/18/2022]
Abstract
AIMS To study the concordance in the incidence of type 2 diabetes (T2DM) between cohorts with prediabetes, selected either by oral glucose tolerance test (OGTT) or glycosylated haemoglobin (HbA1c) at two years in a real world situation. METHODS Two cohorts with impaired glucose tolerance (IGT) were selected from the non-interventional arm of the Indian diabetes prevention programmes; a group selected by using OGTT (Cohort 1, n = 498), another selected based on the HbA1c criterion (Cohort 2, n = 504). Clinical and biochemical data collected for 24 months at 6 monthly intervals were used in assessing the cumulative incidence of T2DM using the respective diagnostic criteria. Intra and inter group comparisons were analysed using appropriate statistical tests. A multiple logistic regression analysis was used to identify the variables significantly associated with the incidence of diabetes. RESULTS Incidence of diabetes in both cohorts were similar at 12 and 24 months with either of the two criteria (25.3% with glucose and 27.5% with HbA1c, p = 0.41 at 24 months). The multivariate analysis confirmed the results. Only baseline waist circumference was positively associated with the incidence. CONCLUSION Both OGTT and HbA1c have similar utility and validity in identifying persons with IGT. Persons identified with either of the criterion had similar incidence of T2DM among Asian Indians.
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Affiliation(s)
- Arun Nanditha
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Priscilla Susairaj
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Arun Raghavan
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Ramachandran Vinitha
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Krishnamoorthy Satheesh
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Dhruv Rajesh Nair
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Santhosh Jeyaraj
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Chamukuttan Snehalatha
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Ambady Ramachandran
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India.
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van Olden CC, Muilwijk M, Stronks K, van den Born BJ, Moll van Charante EP, Nicolau M, Zwinderma AH, Nieuwdorp M, Groen AK, van Valkengoed IGM. Differences in the prevalence of intermediate hyperglycaemia and the associated incidence of type 2 diabetes mellitus by ethnicity: The HELIUS study. Diabetes Res Clin Pract 2022; 187:109859. [PMID: 35367312 DOI: 10.1016/j.diabres.2022.109859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/14/2022] [Accepted: 03/29/2022] [Indexed: 11/29/2022]
Abstract
AIMS We aimed to describe differences in the prevalence of intermediate hyperglycaemia (IH) between six ethnic groups. Moreover, to investigate differences in the association of the classifications of IH with the incidence of T2DM between ethnic groups. METHODS We included 3759 Dutch, 2826 African Surinamese, 1646 Ghanaian, 2571 Turkish, 2691 Moroccan and 1970 South Asian Surinamese origin participants of the HELIUS study. IH was measured by fasting plasma glucose (FPG) and HbA1c. We calculated age-, BMI and physical-activity-adjusted prevalence of IH by sex, and calculated age and sex-adjusted hazard ratios (HR)for the association between IH and T2DM in each ethnic group. RESULTS The prevalence of IH was higher among ethnic minority groups (68.6-41.7%) than the Dutch majority (34.9%). The prevalence of IH categories varied across subgroups. Combined increased FPG and HbA1c was most prevalent in South-Asian Surinamese men (27.6%, 95 %CI: 24.5-30.9%), and in Dutch women (4.2%, 95 %CI: 3.4-5.1%). The HRs for T2DM for each IH-classification did not differ significantly between ethnic groups. HRs were highest for the combined classification, e.g., HR = 8.1, 95 %CI: 2.5-26.6 in the Dutch. CONCLUSION We found a higher prevalence of IH in ethnic minority versus majority groups, but did not find evidence for a differential association of IH with incident T2DM.
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Affiliation(s)
- C C van Olden
- Department of Vascular Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands.
| | - M Muilwijk
- Department of Public and Occupational Health, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - K Stronks
- Department of Public and Occupational Health, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - B J van den Born
- Department of Vascular Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands; Department of Public and Occupational Health, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - E P Moll van Charante
- Department of Public and Occupational Health, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - M Nicolau
- Department of Public and Occupational Health, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - A H Zwinderma
- Department of Experimental Vascular Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - M Nieuwdorp
- Department of Vascular Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - A K Groen
- Department of Experimental Vascular Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - I G M van Valkengoed
- Department of Public and Occupational Health, Amsterdam University Medical Centre, Amsterdam, the Netherlands
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Ghafouri A, Estêvão MD, Alibakhshi P, Pizarro AB, Kashani AF, Persad E, Heydari H, Hasani M, Heshmati J, Morvaridzadeh M. Sumac fruit supplementation improve glycemic parameters in patients with metabolic syndrome and related disorders: A systematic review and meta-analysis. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2021; 90:153661. [PMID: 34334274 DOI: 10.1016/j.phymed.2021.153661] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 07/06/2021] [Accepted: 07/12/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Metabolic syndrome (MetS) is the one of the main causes of mortality worldwide. Several randomized controlled trials (RCTs) have revealed the beneficial effects of sumac (Rhus coriaria) on cardiometabolic risk factors. However, the entirety of the evidence has yet to be summarized in a systematic review. OBJECTIVE The aim of this systematic review and meta-analysis was to evaluate the effects of sumac on several cardiometabolic risk factors in patients with MetS and related disorders. METHODS We reviewed Medline, Scopus, Web of Science and Cochrane CENTRAL for RCTs published from inception to December 2020 evaluating the impact of sumac in adults with MetS or related disorders. Outcome measures included anthropometric measures, glycemic indices, blood lipids, blood pressure and liver enzymes. Pooled effect sizes were reported as standard mean differences (SMDs) and 95% confidence intervals (CIs). Trials were pooled using a random effects model. RESULTS Nine studies enrolling 526 participants met the inclusion criteria for this meta-analysis. Our results indicate that sumac intake significantly decrease fasting blood sugar (FBS) (SMD: -0.28; 95% CI: -0.54, -0.02; I2 = 00.0%), insulin (SMD: -0.67; 95% CI: -0.99, -0.36; I2 = 03.7%), and insulin resistance (measured through the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)) (SMD: -0.79; 95% CI: -1.24, -0.34; I2 = 50.1%). Sumac intake did not have a significant impact on weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist to hip ratio (WHR), HbA1c, total cholesterol (TC), triglycerides (TG), high density lipoproteins (HDL), low density lipoprotein (LDL), systolic blood pressure (SBP), diastolic blood pressure (DBP), aspartate transaminase (AST) and alanine transaminase (ALT). CONCLUSION Sumac, as an adjuvant therapy, may decrease serum levels of FBS, insulin and HOMA-IR. However, due to high heterogeneity in the included studies, these findings must be interpreted with great caution. Larger, well-designed placebo-controlled clinical trials are still needed to further evaluate the capacity of sumac as a complementary treatment to control MetS risk factors.
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Affiliation(s)
- Atie Ghafouri
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - M Dulce Estêvão
- Universidade do Algarve, Escola Superior de Saúde, Campus de Gambelas, Faro, Portugal
| | - Pooya Alibakhshi
- Department of Internal Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Emma Persad
- Department for Evidence-based Medicine and Evaluation, Danube University Krems, Krems, Austria
| | - Hafez Heydari
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Motahareh Hasani
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Javad Heshmati
- Songhor Healthcare Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mojgan Morvaridzadeh
- Songhor Healthcare Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Forti P, Maioli F, Zoli M. Association of early glycemic change with short-term mortality in lobar and non-lobar intracerebral hemorrhage. Sci Rep 2021; 11:16059. [PMID: 34373518 PMCID: PMC8352939 DOI: 10.1038/s41598-021-95453-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 07/26/2021] [Indexed: 11/25/2022] Open
Abstract
The association between early glycemic change and short-term mortality in non-diabetic patients with acute intracerebral hemorrhage (ICH) is unclear. We retrospectively investigated non-diabetic patients with lobar (n = 262) and non-lobar ICH (n = 370). Each patient had a random serum glucose test on hospital admission and a fasting serum glucose test within the following 48 h. Hyperglycemia was defined as serum glucose ≥ 7.8 mmol/l. Four patterns were determined: no hyperglycemia (reference category), persistent hyperglycemia, delayed hyperglycemia, and decreasing hyperglycemia. Associations with 30-day mortality were estimated using Cox models adjusted for major features of ICH severity. Persistent hyperglycemia was associated with 30-day mortality in both lobar (HR 3.00; 95% CI 1.28–7.02) and non-lobar ICH (HR 4.95; 95% CI 2.20–11.09). In lobar ICH, 30-day mortality was also associated with delayed (HR 4.10; 95% CI 1.77–9.49) and decreasing hyperglycemia (HR 2.01, 95% CI 1.09–3.70). These findings were confirmed in Cox models using glycemic change (fasting minus random serum glucose) as a continuous variable. Our study shows that, in non-diabetic patients with ICH, early persistent hyperglycemia is an independent predictor of short-term mortality regardless of hematoma location. Moreover, in non-diabetic patients with lobar ICH, both a positive and a negative glycemic change are associated with short-term mortality.
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Affiliation(s)
- Paola Forti
- Department of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40138, Bologna, Italy.
| | - Fabiola Maioli
- Medical Department of Integrated Care Models, Maggiore Hospital Carlo Alberto Pizzardi, Bologna, Italy
| | - Marco Zoli
- Department of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40138, Bologna, Italy
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Wade AN, Crowther NJ, Abrahams-Gessel S, Berkman L, George JA, Gómez-Olivé FX, Manne-Goehler J, Salomon JA, Wagner RG, Gaziano TA, Tollman SM, Cappola AR. Concordance between fasting plasma glucose and HbA 1c in the diagnosis of diabetes in black South African adults: a cross-sectional study. BMJ Open 2021; 11:e046060. [PMID: 34140342 PMCID: PMC8212405 DOI: 10.1136/bmjopen-2020-046060] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES We investigated concordance between haemoglobin A1c (HbA1c)-defined diabetes and fasting plasma glucose (FPG)-defined diabetes in a black South African population with a high prevalence of obesity. DESIGN Cross-sectional study. SETTING Rural South African population-based cohort. PARTICIPANTS 765 black individuals aged 40-70 years and with no history of diabetes. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome measure was concordance between HbA1c-defined diabetes and FPG-defined diabetes. Secondary outcome measures were differences in anthropometric characteristics, fat distribution and insulin resistance (measured using Homoeostatic Model Assessment of Insulin Resistance (HOMA-IR)) between those with concordant and discordant HbA1c/FPG classifications and predictors of HbA1c variance. RESULTS The prevalence of HbA1c-defined diabetes was four times the prevalence of FPG-defined diabetes (17.5% vs 4.2%). Classification was discordant in 15.7% of participants, with 111 individuals (14.5%) having HbA1c-only diabetes (kappa 0.23; 95% CI 0.14 to 0.31). Median body mass index, waist and hip circumference, waist-to-hip ratio, subcutaneous adipose tissue and HOMA-IR in participants with HbA1c-only diabetes were similar to those in participants who were normoglycaemic by both biomarkers and significantly lower than in participants with diabetes by both biomarkers (p<0.05). HOMA-IR and fat distribution explained additional HbA1c variance beyond glucose and age only in women. CONCLUSIONS Concordance was poor between HbA1c and FPG in diagnosis of diabetes in black South Africans, and participants with HbA1c-only diabetes phenotypically resembled normoglycaemic participants. Further work is necessary to determine which of these parameters better predicts diabetes-related morbidities in this population and whether a population-specific HbA1c threshold is necessary.
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Affiliation(s)
- Alisha N Wade
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Nigel J Crowther
- Department of Chemical Pathology, University of the Witwatersrand, Johannesburg, South Africa
- Department of Chemical Pathology, National Health Laboratory Service, Johannesburg, South Africa
| | - Shafika Abrahams-Gessel
- Centre for Health Decision Science, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Lisa Berkman
- Harvard Centre for Population and Development Studies, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Jaya A George
- Department of Chemical Pathology, University of the Witwatersrand, Johannesburg, South Africa
- Department of Chemical Pathology, National Health Laboratory Service, Johannesburg, South Africa
| | - F Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Jennifer Manne-Goehler
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Joshua A Salomon
- Centre for Health Policy, Stanford University, Stanford, California, USA
| | - Ryan G Wagner
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Thomas A Gaziano
- Centre for Health Decision Science, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Stephen M Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
- INDEPTH Network, Accra, Ghana
- Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Anne R Cappola
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Bae YU, You JH, Cho NH, Kim LE, Shim HM, Park JH, Cho HC. Association of Protein Z with Prediabetes and Type 2 Diabetes. Endocrinol Metab (Seoul) 2021; 36:637-646. [PMID: 34074095 PMCID: PMC8258334 DOI: 10.3803/enm.2021.962] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/30/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a progressive metabolic disease. Early detection of prediabetes is important to reduce the risk of T2DM. Some cytokines are known to be associated with T2DM. Therefore, we aimed to identify cytokines as novel biomarkers of glucose dysmetabolism. METHODS The first stage of the study included 43 subjects (13 subjects with newly diagnosed T2DM, 13 with prediabetes, and 16 with normoglycemia) for cytokine microarray analysis. Blood samples of the subjects were assessed for 310 cytokines to identify potential indicators of prediabetes. The second stage included 142 subjects (36 subjects with T2DM, 35 with prediabetes, and 71 with normoglycemia) to validate the potential cytokines associated with prediabetes. RESULTS We identified 41 cytokines that differed by 1.5-fold or more in at least one out of the three comparisons (normoglycemia vs. prediabetes, normoglycemia vs. T2DM, and prediabetes vs. T2DM) among 310 cytokines. Finally, we selected protein Z (PROZ) and validated this finding to determine its association with prediabetes. Plasma PROZ levels were found to be decreased in patients with prediabetes (1,490.32±367.19 pg/mL) and T2DM (1,583.34±465.43 pg/mL) compared to those in subjects with normoglycemia (1,864.07±450.83 pg/mL) (P<0.001). There were significantly negative correlations between PROZ and fasting plasma glucose (P=0.001) and hemoglobin A1c (P=0.010). CONCLUSION PROZ levels were associated with prediabetes and T2DM. We suggest that PROZ may be a promising biomarker for the early detection of prediabetes. Further large-scale studies are needed to evaluate the relationship and mechanism between PROZ and prediabetes and T2DM.
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Affiliation(s)
- Yun-Ui Bae
- Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu,
Korea
| | - Ji Hong You
- Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu,
Korea
| | - Nan Hee Cho
- Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu,
Korea
| | - Leah Eunjung Kim
- Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu,
Korea
| | - Hye Min Shim
- Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu,
Korea
| | - Jae-Hyung Park
- Department of Physiology, Keimyung University School of Medicine, Daegu,
Korea
| | - Ho Chan Cho
- Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu,
Korea
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Huang YT, Steptoe A, Zaninotto P. Prevalence of Undiagnosed Diabetes in 2004 and 2012: Evidence From the English Longitudinal Study of Aging. J Gerontol A Biol Sci Med Sci 2021; 76:922-928. [PMID: 32674123 PMCID: PMC8522434 DOI: 10.1093/gerona/glaa179] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND In light of recent publicity campaigns to raise awareness of diabetes, we investigated changes in the prevalence of diabetes and undiagnosed diabetes in adults age 50 and older in England between 2004 and 2012, and explored risk factors for undiagnosed diabetes. METHOD In total, 7666 and 7729 individuals were from Wave 2 (2004-2005, mean age 66.6) and Wave 6 (2012-2013, mean age 67.6) of the English Longitudinal Study of Ageing. Diagnosed diabetes was defined as either self-reported diabetes or taking diabetic medications. Undiagnosed diabetes was defined as not self-reporting diabetes and not taking diabetic medications, but having a glycated hemoglobin measurement ≥48 mmol/mol (6.5%). RESULTS There were increases in both diagnosed diabetes (7.7%-11.5%) and undiagnosed diabetes (2.4%-3.4%) between 2004 and 2012. However, a small decrease in the proportion of people with diabetes who were unaware of this condition (24.5%-23.1%, p < .05) was observed. Only men aged 50-74 showed a stable prevalence of undiagnosed diabetes, with better recognition of diabetes. Age, non-white ethnicity, manual social class, higher diastolic blood pressure, and cholesterol level were factors associated with higher risks of undiagnosed diabetes, whereas greater depressive symptoms were related to lower risks. CONCLUSION This study suggests that the greater awareness of diabetes in the population of England has not resulted in a decline in undiagnosed cases between 2004 and 2012. A greater focus on people from lower socioeconomic groups and those with cardiometabolic risk factors may help early diagnosis of diabetes for older adults.
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Affiliation(s)
- Yun-Ting Huang
- Department of Epidemiology and Public Health, University College
London
| | - Andrew Steptoe
- Department of Behavioral Science and Health, University College
London
| | - Paola Zaninotto
- Department of Epidemiology and Public Health, University College
London
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14
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Jagannathan R, Neves JS, Dorcely B, Chung ST, Tamura K, Rhee M, Bergman M. The Oral Glucose Tolerance Test: 100 Years Later. Diabetes Metab Syndr Obes 2020; 13:3787-3805. [PMID: 33116727 PMCID: PMC7585270 DOI: 10.2147/dmso.s246062] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 09/24/2020] [Indexed: 12/15/2022] Open
Abstract
For over 100 years, the oral glucose tolerance test (OGTT) has been the cornerstone for detecting prediabetes and type 2 diabetes (T2DM). In recent decades, controversies have arisen identifying internationally acceptable cut points using fasting plasma glucose (FPG), 2-h post-load glucose (2-h PG), and/or HbA1c for defining intermediate hyperglycemia (prediabetes). Despite this, there has been a steadfast global consensus of the 2-h PG for defining dysglycemic states during the OGTT. This article reviews the history of the OGTT and recent advances in its application, including the glucose challenge test and mathematical modeling for determining the shape of the glucose curve. Pitfalls of the FPG, 2-h PG during the OGTT, and HbA1c are considered as well. Finally, the associations between the 30-minute and 1-hour plasma glucose (1-h PG) levels derived from the OGTT and incidence of diabetes and its complications will be reviewed. The considerable evidence base supports modifying current screening and diagnostic recommendations with the use of the 1-h PG. Measurement of the 1-h PG level could increase the likelihood of identifying high-risk individuals when the pancreatic ß-cell function is substantially more intact with the added practical advantage of potentially replacing the conventional 2-h OGTT making it more acceptable in the clinical setting.
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Affiliation(s)
- Ram Jagannathan
- Division of Hospital Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - João Sérgio Neves
- Department of Surgery and Physiology, Cardiovascular Research and Development Center, Faculty of Medicine, University of Porto, Porto, Portugal
- Department of Endocrinology, Diabetes and Metabolism, Sa˜o Joa˜ o University Hospital Center, Porto, Portugal
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Division of Endocrinology, Diabetes, Metabolism, New York, NY10016, USA
| | - Stephanie T Chung
- Diabetes, Obesity, and Endocrinology Branch, National Institute of Diabetes & Digestive & Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD20892, USA
| | - Mary Rhee
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA30322, USA
| | - Michael Bergman
- NYU Grossman School of Medicine, NYU Diabetes Prevention Program, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, New York, NY10010, USA
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15
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Munshi MN, Meneilly GS, Rodríguez-Mañas L, Close KL, Conlin PR, Cukierman-Yaffe T, Forbes A, Ganda OP, Kahn CR, Huang E, Laffel LM, Lee CG, Lee S, Nathan DM, Pandya N, Pratley R, Gabbay R, Sinclair AJ. Diabetes in ageing: pathways for developing the evidence base for clinical guidance. Lancet Diabetes Endocrinol 2020; 8:855-867. [PMID: 32946822 PMCID: PMC8223534 DOI: 10.1016/s2213-8587(20)30230-8] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/12/2020] [Accepted: 06/19/2020] [Indexed: 02/07/2023]
Abstract
Older adults with diabetes are heterogeneous in their medical, functional, and cognitive status, and require careful individualisation of their treatment regimens. However, in the absence of detailed information from clinical trials involving older people with varying characteristics, there is little evidence-based guidance, which is a notable limitation of current approaches to care. It is important to recognise that older people with diabetes might vary in their profiles according to age category, functional health, presence of frailty, and comorbidity profiles. In addition, all older adults with diabetes require an individualised approach to care, ranging from robust individuals to those residing in care homes with a short life expectancy, those requiring palliative care, or those requiring end-of-life management. In this Review, our multidisciplinary team of experts describes the current evidence in several important areas in geriatric diabetes, and outlines key research gaps and research questions in each of these areas with the aim to develop evidence-based recommendations to improve the outcomes of interest in older adults.
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Affiliation(s)
- Medha N Munshi
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | | | | | - Kelly L Close
- The diaTribe Foundation San Francisco, CA, USA; Close Concerns, San Francisco, CA, USA
| | - Paul R Conlin
- Harvard Medical School, Boston, MA, USA; Veteran Affairs Boston Healthcare System, Boston, MA, USA
| | - Tali Cukierman-Yaffe
- Division of Endocrinology, Diabetes and Metabolism, Gertner Institute, Ramat Gan, Israel; Sheba Medical Centre, Ramat Gan, Israel; Epidemiology Department, Sackler School of Medicine, Herczeg Institute on Aging, Tel Aviv University, Tel Aviv, Israel
| | | | - Om P Ganda
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - C Ronald Kahn
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Elbert Huang
- Center for Chronic Disease Research and Policy, Section of General Internal Medicine, University of Chicago, Chicago, IL, USA
| | - Lori M Laffel
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Christine G Lee
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Sei Lee
- University of California San Francisco, San Francisco, CA, USA; Geriatrics and Extended Care, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - David M Nathan
- Harvard Medical School, Boston, MA, USA; Diabetes Research Center and Clinical Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Naushira Pandya
- Department of Geriatrics, Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Aventura Hospital, Aventura, FL, USA
| | - Richard Pratley
- AdventHealth, AdventHealth Diabetes Institute, AdventHealth Translational Research Institute, Orlando, FL, USA
| | - Robert Gabbay
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Alan J Sinclair
- King's College London, London, UK; Diabetes Frail, London, UK
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16
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Bergman M, Jagannathan R, Sesti G. The contribution of unrecognized factors to the diabetes epidemic. Diabetes Metab Res Rev 2020; 36:e3315. [PMID: 32223051 DOI: 10.1002/dmrr.3315] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/03/2020] [Accepted: 03/13/2020] [Indexed: 12/16/2022]
Affiliation(s)
- Michael Bergman
- NYU School of Medicine, NYU Diabetes Prevention Program, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, New York, New York, USA
| | | | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome Sapienza, Rome, Italy
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17
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Bergman M, Abdul-Ghani M, Neves JS, Monteiro MP, Medina JL, Dorcely B, Buysschaert M. Pitfalls of HbA1c in the Diagnosis of Diabetes. J Clin Endocrinol Metab 2020; 105:dgaa372. [PMID: 32525987 PMCID: PMC7335015 DOI: 10.1210/clinem/dgaa372] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 06/08/2020] [Indexed: 02/06/2023]
Abstract
Many health care providers screen high-risk individuals exclusively with an HbA1c despite its insensitivity for detecting dysglycemia. The 2 cases presented describe the inherent caveats of interpreting HbA1c without performing an oral glucose tolerance test (OGTT). The first case reflects the risk of overdiagnosing type 2 diabetes (T2D) in an older African American male in whom HbA1c levels, although variable, were primarily in the mid-prediabetes range (5.7-6.4% [39-46 mmol/mol]) for many years although the initial OGTT demonstrated borderline impaired fasting glucose with a fasting plasma glucose of 102 mg/dL [5.7 mmol/L]) without evidence for impaired glucose tolerance (2-hour glucose ≥140-199 mg/dl ([7.8-11.1 mmol/L]). Because subsequent HbA1c levels were diagnostic of T2D (6.5%-6.6% [48-49 mmol/mol]), a second OGTT performed was normal. The second case illustrates the risk of underdiagnosing T2D in a male with HIV having normal HbA1c levels over many years who underwent an OGTT when mild prediabetes (HbA1c = 5.7% [39 mmol/mol]) developed that was diagnostic of T2D. To avoid inadvertent mistreatment, it is therefore essential to perform an OGTT, despite its limitations, in high-risk individuals, particularly when glucose or fructosamine and HbA1c values are discordant. Innate differences in the relationship between fructosamine or fasting glucose to HbA1c are demonstrated by the glycation gap or hemoglobin glycation index.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, Director, NYU Diabetes Prevention Program, Section Chief, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, New York, New York
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - João Sérgio Neves
- Department of Surgery and Physiology, Cardiovascular Research Center, Faculty of Medicine, University of Porto, Porto, Portugal
- Department of Endocrinology, Diabetes and Metabolism, São João University Hospital Center, Porto, Portugal
| | - Mariana P Monteiro
- Endocrine, Cardiovascular & Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | | | - Brenda Dorcely
- NYU Grossman School of Medicine, Division of Endocrinology, Diabetes, Metabolism, New York, New York
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University Clinic Saint-Luc, Brussels, Belgium
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18
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Bergman M, Abdul-Ghani M, DeFronzo RA, Manco M, Sesti G, Fiorentino TV, Ceriello A, Rhee M, Phillips LS, Chung S, Cravalho C, Jagannathan R, Monnier L, Colette C, Owens D, Bianchi C, Del Prato S, Monteiro MP, Neves JS, Medina JL, Macedo MP, Ribeiro RT, Filipe Raposo J, Dorcely B, Ibrahim N, Buysschaert M. Review of methods for detecting glycemic disorders. Diabetes Res Clin Pract 2020; 165:108233. [PMID: 32497744 PMCID: PMC7977482 DOI: 10.1016/j.diabres.2020.108233] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 05/19/2020] [Indexed: 02/07/2023]
Abstract
Prediabetes (intermediate hyperglycemia) consists of two abnormalities, impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) detected by a standardized 75-gram oral glucose tolerance test (OGTT). Individuals with isolated IGT or combined IFG and IGT have increased risk for developing type 2 diabetes (T2D) and cardiovascular disease (CVD). Diagnosing prediabetes early and accurately is critical in order to refer high-risk individuals for intensive lifestyle modification. However, there is currently no international consensus for diagnosing prediabetes with HbA1c or glucose measurements based upon American Diabetes Association (ADA) and the World Health Organization (WHO) criteria that identify different populations at risk for progressing to diabetes. Various caveats affecting the accuracy of interpreting the HbA1c including genetics complicate this further. This review describes established methods for detecting glucose disorders based upon glucose and HbA1c parameters as well as novel approaches including the 1-hour plasma glucose (1-h PG), glucose challenge test (GCT), shape of the glucose curve, genetics, continuous glucose monitoring (CGM), measures of insulin secretion and sensitivity, metabolomics, and ancillary tools such as fructosamine, glycated albumin (GA), 1,5- anhydroglucitol (1,5-AG). Of the approaches considered, the 1-h PG has considerable potential as a biomarker for detecting glucose disorders if confirmed by additional data including health economic analysis. Whether the 1-h OGTT is superior to genetics and omics in providing greater precision for individualized treatment requires further investigation. These methods will need to demonstrate substantially superiority to simpler tools for detecting glucose disorders to justify their cost and complexity.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, NYU Diabetes Prevention Program, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, 423 East 23rd Street, Room 16049C, NY, NY 10010, USA.
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
| | - Ralph A DeFronzo
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
| | - Melania Manco
- Research Area for Multifactorial Diseases, Bambino Gesù Children Hospital, Rome, Italy.
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome Sapienza, Rome 00161, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Catanzaro 88100, Italy.
| | - Antonio Ceriello
- Department of Cardiovascular and Metabolic Diseases, Istituto Ricerca Cura Carattere Scientifico Multimedica, Sesto, San Giovanni (MI), Italy.
| | - Mary Rhee
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Lawrence S Phillips
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Stephanie Chung
- Diabetes Endocrinology and Obesity Branch, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Celeste Cravalho
- Diabetes Endocrinology and Obesity Branch, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Ram Jagannathan
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA 30322, USA.
| | - Louis Monnier
- Institute of Clinical Research, University of Montpellier, Montpellier, France.
| | - Claude Colette
- Institute of Clinical Research, University of Montpellier, Montpellier, France.
| | - David Owens
- Diabetes Research Group, Institute of Life Science, Swansea University, Wales, UK.
| | - Cristina Bianchi
- University Hospital of Pisa, Section of Metabolic Diseases and Diabetes, University Hospital, University of Pisa, Pisa, Italy.
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
| | - Mariana P Monteiro
- Endocrine, Cardiovascular & Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
| | - João Sérgio Neves
- Department of Surgery and Physiology, Cardiovascular Research and Development Center, Faculty of Medicine, University of Porto, Porto, Portugal; Department of Endocrinology, Diabetes and Metabolism, São João University Hospital Center, Porto, Portugal.
| | | | - Maria Paula Macedo
- CEDOC-Centro de Estudos de Doenças Crónicas, NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal; APDP-Diabetes Portugal, Education and Research Center (APDP-ERC), Lisboa, Portugal.
| | - Rogério Tavares Ribeiro
- Institute for Biomedicine, Department of Medical Sciences, University of Aveiro, APDP Diabetes Portugal, Education and Research Center (APDP-ERC), Aveiro, Portugal.
| | - João Filipe Raposo
- CEDOC-Centro de Estudos de Doenças Crónicas, NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal; APDP-Diabetes Portugal, Education and Research Center (APDP-ERC), Lisboa, Portugal.
| | - Brenda Dorcely
- NYU School of Medicine, Division of Endocrinology, Diabetes, Metabolism, NY, NY 10016, USA.
| | - Nouran Ibrahim
- NYU School of Medicine, Division of Endocrinology, Diabetes, Metabolism, NY, NY 10016, USA.
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University Clinic Saint-Luc, Brussels, Belgium.
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19
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Or Koca A, Koca HS, Anil C. The effects of hyperinsulinemia on cochlear functions. Noise Health 2020; 22:70-76. [PMID: 33402607 PMCID: PMC8000137 DOI: 10.4103/nah.nah_41_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 07/24/2020] [Accepted: 10/02/2020] [Indexed: 12/03/2022] Open
Abstract
CONTEXT Hyperinsulinemia is the most common metabolic change associated with cochleovestibular diseases. AIM We aimed to investigate the auditory functions in hyperinsulinemic individuals. SETTINGS AND DESIGN A total of 164 patients were included in this case-control study. While 76 patients with insulin resistance (homeostasis model assessment of insulin resistance [HOMA-IR] of ≥2.5) constituted the case group, 88 patients with HOMA-IR values of <2.5 constituted the control group of the study. MATERIAL AND METHODS The 75 g oral glucose tolerance test, blood biochemistry tests, hormonal analysis, audiological assessment, electrocochleography (EcochG), and transient evoked otoacoustic emissions (TEOAE) testing were performed. STATISTICAL ANALYSIS One-way analysis of variance and Kruskal-Wallis analysis of variance were used for the comparison of the metabolic and ear parameters in the normal glucose tolerance (NGT), impaired fasting glucose (IFG), and impaired glucose tolerance (IGT) groups. The chi-square test was used to compare nominal variables. Spearman and Pearson correlation coefficients were used for the correlation analyses of continuous variables. RESULTS The pure tone audiometry at 0.5, 1, 2, and 4 kHz was better in the case group than in the control group. A positive correlation was found between HbA1c and right ear 0.5, 1, 4, and 8 kHz threshold values and left ear 2, 4, 6, and 8 kHz threshold values. A negative correlation was found between HbA1c and speech discrimination scores. The right ear 1.00 and 2.83 kHz TEOAE measurements in the individuals with NGT were found higher than those in patients with IGT, and the 1.42 kHz TEOAE measurements and reproducibility were found higher than those in patients with IFG. The left ear 1.00 and 1.42 kHz TEOAE measurements of the IGT patients were found lower than those of IFG and NGT patients. CONCLUSION We showed that hearing was worsening in hyperinsulinemic patients and prediabetic conditions were related to hearing function impairment.
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Affiliation(s)
- Arzu Or Koca
- Department of Internal Medicine, Başkent University Ankara Hospital, Ankara, Turkey
| | - Hüseyin Samet Koca
- Department of Otorhinolaryngology, Başkent University Ankara Hospital, Ankara, Turkey
| | - Cüneyd Anil
- Department of Endocrinology and Metabolism, Başkent University Ankara Hospital, Ankara, Turkey
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20
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The COVID-19 Pandemic during the Time of the Diabetes Pandemic: Likely Fraternal Twins? Pathogens 2020; 9:pathogens9050389. [PMID: 32438687 PMCID: PMC7281197 DOI: 10.3390/pathogens9050389] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 05/13/2020] [Accepted: 05/16/2020] [Indexed: 02/06/2023] Open
Abstract
An altered immune response to pathogens has been suggested to explain increased susceptibility to infectious diseases in patients with diabetes. Recent evidence has documented several immunometabolic pathways in patients with diabetes directly related to the COVID-19 infection. This also seems to be the case for prediabetic subjects with proinflammatory insulin resistance syndrome accompanied with prothrombotic hyperinsulinemic and dysglycemic states. Patients with frank hyperglycemia, dysglycemia and/or hyperinsulinemia develop systemic immunometabolic inflammation with higher levels of circulating cytokines. This deleterious scenario has been proposed as the underlying mechanism enhancing a cytokine storm-like hyperinflammatory state in diabetics infected with severe COVID-19 triggering multi-organ failure. Compared with moderately affected COVID-19 patients, diabetes was found to be highly prevalent among severely affected patients suggesting that this non-communicable disease should be considered as a risk factor for adverse outcomes. The COVID-19 pandemic mirrors with the diabetes pandemic in many pathobiological aspects. Our interest is to emphasize the ties between the immunoinflammatory mechanisms that underlie the morbidity and lethality when COVID-19 meets diabetes. This review brings attention to two pathologies of highly complex, multifactorial, developmental and environmentally dependent manifestations of critical importance to human survival. Extreme caution should be taken with diabetics with suspected symptoms of COVID-19 infection.
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21
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Forti P, Maioli F, Nativio V, Maestri L, Coveri M, Zoli M. Association of prestroke glycemic status with stroke mortality. BMJ Open Diabetes Res Care 2020; 8:8/1/e000957. [PMID: 32079614 PMCID: PMC7039580 DOI: 10.1136/bmjdrc-2019-000957] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 12/23/2019] [Accepted: 01/04/2020] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The role of diabetes as a predictor of mortality after stroke remains uncertain, and there are very few data for pre-diabetes. This study investigated the association of pre-diabetes and diabetes with 30-day and 1-year mortality after ischemic stroke (IS) and primary intracerebral hemorrhage (ICH). RESEARCH DESIGN AND METHODS Between 2006 and 2013, 2076 patients with IS and 586 patients with ICH (median age 79) were admitted to hospital within 24 hours after stroke onset and were treated in a stroke unit, where they underwent measurement of glycated hemoglobin (HbA1c). Diabetes was retrospectively defined based on medical history, diagnosis during hospital stay or HbA1c ≥6.5% (48 mmol/mol). Pre-diabetes was defined as HbA1c of 5.7%-6.4% (39-47 mmol/mol). Stroke severity was measured using the National Institutes of Health Stroke Scale (NIHSS). HRs were used to test the association of pre-diabetes and diabetes with 30-day and 1-year mortality after stroke onset. RESULTS Among patients with IS, 830 had pre-diabetes and 632 had diabetes; 280 died within 30 days and the other 77 within 1 year. Among patients with ICH, 106 had pre-diabetes and 56 had diabetes; 150 died within 30 days and the other 92 within 1 year. In both stroke subtypes, pre-diabetes and diabetes were associated with higher 30-day mortality. In IS, however, the association was limited to patients with prestroke disability and very severe stroke. At NIHSS 25, HR was 1.58 (95% CI 1.07 to 2.35) for pre-diabetes and 1.67 (95% CI 1.14 to 2.46) for diabetes compared with normoglycemia. In ICH, the association was limited to women for pre-diabetes (HR 1.93, 95% CI 1.15 to 3.24) and to men for diabetes (HR 1.78, 95% CI 1.02 to 3.12). Prestroke glycemic status was unrelated to 1-year mortality. CONCLUSIONS Both pre-diabetes and diabetes predict short-term mortality after acute stroke, but the association varies depending on both prestroke and stroke-related characteristics. These findings may explain the heterogeneous results obtained by previous studies.
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Affiliation(s)
- Paola Forti
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Emilia-Romagna, Italy
| | - Fabiola Maioli
- Medical Department of Integrated Care Models, Maggiore Hospital Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy
| | - Valeria Nativio
- Medical Department of Integrated Care Models, Maggiore Hospital Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy
| | - Lorenzo Maestri
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Emilia-Romagna, Italy
| | - Maura Coveri
- Medical Department of Integrated Care Models, Maggiore Hospital Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy
| | - Marco Zoli
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Emilia-Romagna, Italy
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22
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Forti P, Maioli F, Arnone G, Nativio V, Zoli M, Coveri M, Di Pasquale G, Procaccianti G. Age-specific rate of undiagnosed diabetes and prediabetes in acute stroke. Diabetes Res Clin Pract 2020; 159:107968. [PMID: 31830515 DOI: 10.1016/j.diabres.2019.107968] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/23/2019] [Accepted: 11/29/2019] [Indexed: 11/20/2022]
Abstract
AIMS We investigated age-specific rates of undiagnosed diabetes and prediabetes among patients with acute stroke. METHODS We used data from 2223 patients with acute stroke consecutively admitted to an Italian Stroke Unit (SU) between 2010 and 2015. Information from medical records and glycated hemoglobin (HbA1c) measured on admission was retrospectively used to screen for diabetes and prediabetes defined according to standard criteria. RESULTS Overall rate of diabetes undiagnosed at admission and diabetes still undiagnosed at SU discharge were 9.7% and 6.7% but age-specific prevalence peaked up to 12.0% and 9.0% after age 80. At admission, the proportion of all undiagnosed diabetes on total diabetes cases was one out of every two cases before age 60 and three out of every four cases after age 80. In these same age intervals, one out of every three diabetes cases was still undiagnosed at SU discharge. Regardless of age, about three out of ten patients with acute stroke had prediabetes. Less than 2% of these patients had a prediabetes diagnosis before or after SU admission. CONCLUSIONS In patients with acute stroke, diabetes is substantially underdiagnosed before age 60 and after age 80. Prediabetes is highly prevalent but mostly undiagnosed at all ages.
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Affiliation(s)
- Paola Forti
- Department of Medical and Surgical Sciences, University of Bologna, Italy.
| | | | | | | | - Marco Zoli
- Department of Medical and Surgical Sciences, University of Bologna, Italy
| | - Maura Coveri
- Medical Department, Maggiore Hospital, Bologna, Italy
| | | | - Gaetano Procaccianti
- Institute of Neurological Sciences [Istituto di Ricovero e Cura a Carattere Scientifico, IRCCS], Bologna, Italy
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23
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Rodriguez-Segade S, Rodriguez J, Camiña F, Sanmartín-Portas L, Gerpe-Jamardo J, Pazos-Couselo M, García-López JM, Alonso-Sampedro M, González-Quintela A, Gude F. Prediabetes defined by HbA 1c and by fasting glucose: differences in risk factors and prevalence. Acta Diabetol 2019; 56:1023-1030. [PMID: 31115752 DOI: 10.1007/s00592-019-01342-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 04/03/2019] [Indexed: 01/09/2023]
Abstract
AIMS To investigate, in a sample of nondiabetic adults from a Spanish community, the differences between prediabetes as defined by HbA1c ("H-prediabetes") and by fasting plasma glucose (FPG) ("F-prediabetes") in regard to prevalence and the influence of potential risk factors, adjusting the latter for confounders. METHODS A total of 1328 nondiabetic participants aged ≥ 18 years were classified as normoglycemic, H-prediabetic [HbA1c 5.7-6.4% (39-47 mmol/mol)] or F-prediabetic (FPG 5.6-6.9 mmol/L). Multivariable analyses were used to compare the impacts of risk factors on the prevalence of H-prediabetes, F-prediabetes and their conjunctive and disjunctive combinations ("HaF-prediabetes" and "HoF-prediabetes," respectively). RESULTS Some 29.9% of participants were HoF-prediabetic, 21.7% H-prediabetic, 16.3% F-prediabetic and only 8.1% HaF-prediabetic. Whatever the definition of prediabetes, increasing age, fasting insulin and LDL cholesterol were each a risk factor after adjustment for all other variables. Increasing BMI and decreasing mean corpuscular hemoglobin (MCH) were additional risk factors for H-prediabetes; male sex and increasing uric acid for F-prediabetes and increasing BMI for HaF-prediabetes. The participants satisfying the compound condition "hypertension or hyperlipidemia or obesity or hyperuricemia" (59.9% of the whole study group) included 83.1% of all subjects with HoF-prediabetes. CONCLUSIONS In this population, the most sensitive risk factor for detection of prediabetes was age, followed by fasting insulin, LDL cholesterol, BMI, MCH, male sex and uric acid, with differences depending on the definition of prediabetes. MCH, an indirect measure of erythrocyte survival, significantly influences the prevalence of HbA1c-defined prediabetes. This study suggests that screening of individuals with selected risk factors may identify a high proportion of prediabetic persons.
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Affiliation(s)
- Santiago Rodriguez-Segade
- Department of Biochemistry and Molecular Biology, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
- Clinical Biochemistry Laboratory, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain.
| | - Javier Rodriguez
- Department of Biochemistry and Molecular Biology, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain
- Clinical Biochemistry Laboratory, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain
| | - Félix Camiña
- Department of Biochemistry and Molecular Biology, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | | | | | - Marcos Pazos-Couselo
- Division of Endocrinology, Complejo Hospitalario Universitario de Santiago, Travesía de Conxo s/n, 15706, Santiago de Compostela, Spain
| | - Jose M García-López
- Division of Endocrinology, Complejo Hospitalario Universitario de Santiago, Travesía de Conxo s/n, 15706, Santiago de Compostela, Spain
| | - Manuela Alonso-Sampedro
- Clinical Epidemiology Unit, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain
- Division of Internal Medicine, School of Medicine, University of Santiago de Compostela, c/San Francisco n-1, 15782, Santiago de Compostela, Spain
| | - Arturo González-Quintela
- Division of Internal Medicine, School of Medicine, University of Santiago de Compostela, c/San Francisco n-1, 15782, Santiago de Compostela, Spain
| | - Francisco Gude
- Clinical Epidemiology Unit, Complejo Hospitalario Universitario de Santiago, Travesía de la Choupana s/n, 15706, Santiago de Compostela, Spain
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Geva M, Shlomai G, Berkovich A, Maor E, Leibowitz A, Tenenbaum A, Grossman E. The association between fasting plasma glucose and glycated hemoglobin in the prediabetes range and future development of hypertension. Cardiovasc Diabetol 2019; 18:53. [PMID: 31029146 PMCID: PMC6486972 DOI: 10.1186/s12933-019-0859-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 04/18/2019] [Indexed: 12/16/2022] Open
Abstract
Background Prediabetes is a well-established risk factor for progression to overt diabetes mellitus (DM), which is in turn associated with development of hypertension (HTN) and vice versa. However, the role of prediabetes and HbA1c in particular as an independent risk factor for the development of hypertension is unclear. Aim In this current study, we aimed to evaluate the association between both fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) levels in the prediabetes range and development of HTN among a large cohort of normotensive subjects. Design and methods We investigated 5016 normotensive participants without DM and other cardiovascular risk factors who were annually screened in a tertiary medical center. Subjects were divided into normoglycemic and prediabetic groups. Normoglycemia was defined as HbA1c < 5.7% and FPG < 100 mg/dl. Prediabetes was defined according to the ADA criteria, i.e., 6.5% > HbA1c ≥ 5.7% or impaired fasting glucose (IFG):126 mg/dl > FPG ≥ 100 mg/dl. Subgroup analysis was made by dividing participants into four groups according to FPG and HbA1C levels, i.e., normoglycemia, impaired HbA1c only, IFG only, and both parameters impaired. Results During a follow-up of 3.7 ± 2.9 years, 318 (6.3%) subjects developed HTN. A cumulative hazard function for the development of hypertension showed a 2.89-fold ([95% CI 2.19–3.83], p < .0001) increased risk for HTN in the prediabetic population. In a multivariable Cox proportional hazard regression model adjusted to common confounding risk factors for HTN, prediabetes was found to be independently associated with a 1.95-fold ([95%, CI 1.43–2.52] p < .0001) increased risk for hypertension. Impaired HbA1C only was not found to be independently associated with HTN, while IFG only showed a 2.13-fold (95%, [CI 1.46–3.11] p < .0001) increased risk for HTN compared to normoglycemic, and a 2.55-fold ([95% CI 1.85–3.51] p < .0001) increased risk for HTN when both parameters impaired. Conclusion Our study demonstrates that FPG in the prediabetes range, albeit not glycated hemoglobin, is independently and significantly associated with future development of HTN. Therefore, our findings further highlight the pivotal predictive role of IFG for HTN development as opposed to the limited independent role of abnormal HbA1c levels. Electronic supplementary material The online version of this article (10.1186/s12933-019-0859-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mika Geva
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Gadi Shlomai
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Anat Berkovich
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.,Leviev Heart Center, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Elad Maor
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.,Leviev Heart Center, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Avshalom Leibowitz
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Alexander Tenenbaum
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.,Leviev Heart Center, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Ehud Grossman
- Department of Internal Medicine D, Chaim Sheba Medical Center, Ramat Gan, Israel. .,Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.
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25
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Meneilly GS, Knip A, Miller DB, Sherifali D, Tessier D, Zahedi A. Diabetes in Older People. Can J Diabetes 2018; 42 Suppl 1:S283-S295. [PMID: 29650107 DOI: 10.1016/j.jcjd.2017.10.021] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Indexed: 12/15/2022]
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26
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Circulating miRNAs as Predictive Biomarkers of Type 2 Diabetes Mellitus Development in Coronary Heart Disease Patients from the CORDIOPREV Study. MOLECULAR THERAPY. NUCLEIC ACIDS 2018; 12:146-157. [PMID: 30195754 PMCID: PMC6023857 DOI: 10.1016/j.omtn.2018.05.002] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 05/02/2018] [Accepted: 05/02/2018] [Indexed: 02/07/2023]
Abstract
Circulating microRNAs (miRNAs) have been proposed as type 2 diabetes biomarkers, and they may be a more sensitive way to predict development of the disease than the currently used tools. Our aim was to identify whether circulating miRNAs, added to clinical and biochemical markers, yielded better potential for predicting type 2 diabetes. The study included 462 non-diabetic patients at baseline in the CORDIOPREV study. After a median follow-up of 60 months, 107 of them developed type 2 diabetes. Plasma levels of 24 miRNAs were measured at baseline by qRT-PCR, and other strong biomarkers to predict diabetes were determined. The ROC analysis identified 9 miRNAs, which, added to HbA1c, have a greater predictive value in early diagnosis of type 2 diabetes (AUC = 0.8342) than HbA1c alone (AUC = 0.6950). The miRNA and HbA1c-based model did not improve when the FINDRISC was included (AUC = 0.8293). Cox regression analyses showed that patients with low miR-103, miR-28-3p, miR-29a, and miR-9 and high miR-30a-5p and miR-150 circulating levels have a higher risk of disease (HR = 11.27; 95% CI = 2.61-48.65). Our results suggest that circulating miRNAs could potentially be used as a new tool for predicting the development of type 2 diabetes in clinical practice.
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27
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Feng L, Nian S, Zhao Y, Bai X, Luo F, Luo X, Xu W, Ye D, Tong Z. Higher HbA1c and/or glucose levels alter the association patterns between glycated hemoglobin and fasting glucose levels. Diabetes Res Clin Pract 2018; 142:353-362. [PMID: 29936252 DOI: 10.1016/j.diabres.2018.06.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/27/2018] [Accepted: 06/13/2018] [Indexed: 12/11/2022]
Abstract
AIMS To verify the correlations between HbA1c and fasting glucose levels. METHODS A cross-sectional study with 14,249 Chinese subjects. Objective was evaluated in pooled, age-stratified, HbA1c and fasting glucose-stratified populations. RESULTS In pooled populations, the Pearson correlation coefficients (PCCs) of males and females were 0.684 (P < 0.001) and 0.800 (P < 0.001), respectively. HbA1c and fasting glucose maintained significant correlations within the group with HbA1c < 6.5% and glucose <7.0 mmol/L and the group with HbA1c ≥ 6.5% and glucose ≥7.0 mmol/L in both males (PCC: 0.342, P < 0.001; and PCC: 0.765, P < 0.001, respectively) and females (PCC: 0.318, P < 0.001 and PCC: 0.788, P < 0.001, respectively). The slopes increased from the group with HbA1c < 6.5% and glucose <7.0 mmol/L to the group with HbA1c ≥ 6.5% and glucose ≥7.0 mmol/L in both males (0.26-0.44) and females (0.31-0.46). Linear regression analysis showed that fasting glucose and age were two common factors positively associated with HbA1C, and red blood cell count and red cell distribution width were two common factors negatively associated with HbA1c in both males and females with HbA1c < 6.5% and glucose <7.0 mmol/L. The correlations changed dramatically in the groups with HbA1c ≥ 6.5% and glucose <7.0 mmol/L and HbA1c < 6.5% and glucose ≥7.0 mmol/L. CONCLUSIONS High HbA1c and fasting glucose levels greatly altered the associations between HbA1c, glucose and age.
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Affiliation(s)
- Lei Feng
- Department of Laboratory, People's Hospital of Yuxi City, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China.
| | - Shiyan Nian
- Intensive Care Unit, People's Hospital of Yuxi City, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China.
| | - Yang Zhao
- The Sixth Affiliated Hospital of Kunming Medical University, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China
| | - Xuejing Bai
- The Sixth Affiliated Hospital of Kunming Medical University, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China
| | - Feng Luo
- The Sixth Affiliated Hospital of Kunming Medical University, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China
| | - Xuan Luo
- The Sixth Affiliated Hospital of Kunming Medical University, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China
| | - Wenbo Xu
- Department of Laboratory, People's Hospital of Yuxi City, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China
| | - Dan Ye
- Department of Laboratory, People's Hospital of Yuxi City, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China
| | - Zongwu Tong
- Department of Nephrology, People's Hospital of Yuxi City, 21 Nieer Road, Yuxi City, Yunnan Province 653100, PR China.
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Andersen JW, Dahl M, Yderstraede KB, Hoegh A. Use of point-of-care HbA 1c measurement to estimate the level of undiagnosed diabetes mellitus among 67-year-old participants in a cardiovascular screening programme in the municipality of Viborg, Denmark. Diabet Med 2018; 35:1197-1201. [PMID: 29901826 DOI: 10.1111/dme.13759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2018] [Indexed: 11/27/2022]
Abstract
AIMS To determine the prevalence of unidentified diabetes mellitus among 67-year-olds in Denmark participating in a screening programme focusing on cardiovascular disease and diabetes, and to describe glycaemic levels in individuals according to point-of-care HbA1c combined with self-reported diabetes status. METHODS In this cross-sectional, retrospective, population-based study, all people aged 67 years living in the Viborg municipality were invited to take part in the Viborg Inter-sectorial Screening Programme (VISP), which focuses on cardiovascular disease and diabetes. The VISP study was initiated in August 2014 and is ongoing. During the first 2 years of the programme, we stratified participants into groups based on their self-reported diabetes status and a single HbA1c measurement. RESULTS A total of 1802 individuals were invited to participate, and 1501 consented, seven of whom were excluded because of missing data (HbA1c or diabetes status), resulting in an 82.9% participation rate (n=1494). Among those reporting not to have diabetes, 3.3% (n=45) had an HbA1c level ≥48 mmol/mol (6.5%). In the same group, 16.7% (n=226) had an HbA1c level of 41-48 mmol/mol (5.9-6.5%). Among those self-reporting the presence of diabetes, 30.1% (n=43) had an HbA1c level ≥58 mmol/mol (7.5%). CONCLUSIONS The prevalence of unidentified diabetes was 3.3% based on a single HbA1c measurement. Furthermore, 16.7% of those reporting not to have diabetes had an HbA1c level of 41-48 mmol/mol (5.9-6.5%), representing a subgroup with an increased risk of developing diabetes. Among those with self-reported diabetes, 30.1% had an HbA1c level ≥58 mmol/mol (7.5%) and 6.3% had a level >74 mmol/mol (8.9%).
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Affiliation(s)
- J W Andersen
- Department of Clinical Medicine, Cardiovascular Research Centre, Viborg, Denmark
| | - M Dahl
- Department of Clinical Medicine, Cardiovascular Research Centre, Viborg, Denmark
| | - K B Yderstraede
- Department of Clinical Medicine, Cardiovascular Research Centre, Viborg, Denmark
| | - A Hoegh
- Department of Clinical Medicine, Cardiovascular Research Centre, Viborg, Denmark
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29
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Islam N, Gepts T, Lief I, Gore R, Levy N, Tanner M, Fang Y, Sherman SE, Schwartz MD. Protocol for the CHORD project (community health outreach to reduce diabetes): a cluster-randomized community health worker trial to prevent diabetes. BMC Public Health 2018; 18:521. [PMID: 29673333 PMCID: PMC5909211 DOI: 10.1186/s12889-018-5419-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 04/06/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (DM) affects 9.4% of US adults and children, while another 33.9% of Americans are at risk of DM. Health care institutions face many barriers to systematically delivering the preventive care needed to decrease DM incidence. Community health workers (CHWs) may, as frontline public health workers bridging clinic and community, help overcome these challenges. This paper presents the protocol for a pragmatic, cluster-randomized trial integrating CHWs into two primary care clinics to support DM prevention for at-risk patients. METHODS The trial will randomize 15 care teams, stratified by practice site (Bellevue Hospital and Manhattan VA), totaling 56 primary care physicians. The study cohort will consist of ~ 2000 patients who are 18-75 years of age, actively enrolled in a primary care team, able to speak English or Spanish, and have at least one glycosylated hemoglobin (HbA1c) result in the prediabetic range (5.7-6.4%) since 2012. Those with a current DM diagnosis or DM medication prescription (other than metformin) are ineligible. The intervention consists of four core activities - setting health goals, health education, activation for doctor's appointments, and referrals to DM prevention programs - adjustable according to the patient's needs and readiness. The primary outcome is DM incidence. Secondary outcomes include weight loss, HbA1C, and self-reported health behaviors. Clinical variables and health behaviors will be obtained through electronic medical records and surveys, respectively. Implementation outcomes, namely implementation fidelity and physicians' perspectives about CHW integration into the clinic, will be assessed using interviews and CHW activity logs and analyzed for the influence of moderating organizational factors. DISCUSSION This is the first rigorous, pragmatic trial to test the effectiveness of integrating CHWs into primary care for DM prevention reaching a population-based sample. Our study's limitations include language-based eligibility and the use of HbA1c as a measure of DM risk. It will measure both clinical and implementation outcomes and potentially broaden the evidence base for CHWs and patient-centered medical home implementation. Further, the intervention's unique features, notably patient-level personalization and referral to existing programs, may offer a scalable model to benefit patients at-risk of DM. TRIAL REGISTRATION Clinicaltrials.gov NCT03006666 (Received 12/27/2016).
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Affiliation(s)
- Nadia Islam
- NYU School of Medicine, Department of Population Health, New York, NY, 10016, USA.
| | - Thomas Gepts
- NYU School of Medicine, Department of Population Health, New York, NY, 10016, USA
| | - Isaac Lief
- NYU School of Medicine, Department of Population Health, New York, NY, 10016, USA
| | - Radhika Gore
- NYU School of Medicine, Department of Population Health, New York, NY, 10016, USA
| | - Natalie Levy
- NYC Health + Hospitals, Bellevue Hospital, New York, NY, USA.,NYU Langone Health, Department of Medicine, New York, NY, USA
| | - Michael Tanner
- NYC Health + Hospitals, Bellevue Hospital, New York, NY, USA.,NYU Langone Health, Department of Medicine, New York, NY, USA
| | - Yixin Fang
- NYU School of Medicine, Department of Population Health, New York, NY, 10016, USA.,New Jersey Institute of Technology, Department of Mathematical Sciences, Newark, NJ, USA
| | - Scott E Sherman
- NYU School of Medicine, Department of Population Health, New York, NY, 10016, USA.,VA New York Harbor Health Care System, New York, NY, USA
| | - Mark D Schwartz
- NYU School of Medicine, Department of Population Health, New York, NY, 10016, USA.,VA New York Harbor Health Care System, New York, NY, USA
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30
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Roth CL, Elfers C, Hampe CS. Assessment of disturbed glucose metabolism and surrogate measures of insulin sensitivity in obese children and adolescents. Nutr Diabetes 2017; 7:301. [PMID: 29242622 PMCID: PMC5865547 DOI: 10.1038/s41387-017-0004-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 08/01/2017] [Accepted: 08/28/2017] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND With the rising prevalence of obesity and type 2 diabetes (T2D) in obese children, it is becoming imperative to detect disturbed glucose metabolism as early as possible in order to prevent T2D development. SUBJECTS/METHODS Cross-sectional study of 92 obese children (median age 11.7 years, 51% female) and 7 lean children (median age 11.4 years, 57% female) who underwent an oral glucose tolerance test (OGTT) in a tertiary pediatric care center. Glucose tolerance was assessed and different indices for β-cell function, insulin sensitivity and insulin secretion were calculated. RESULTS Nineteen obese children were identified with prediabetes (PD, 12 impaired glucose tolerance, 4 increased fasting glucose and 3 combined). Compared with the 73 obese children with normal glucose tolerance (nGT), subjects with PD had higher insulin resistance, but lower insulin sensitivity and β-cell function, although their glycated hemoglobin (HbA1c) levels were comparable. The Whole Body Insulin Sensitivity Index (WBISI) and β-cell function by Insulin Secretion-Sensitivity Index-2 (ISSI-2) strongly correlated with the OGTT glucose area under the curve 0-120 min (r = 0.392, p < 0.0002; r = 0.547, p < 0.0001, respectively). When testing the relation between early insulin response during OGTT by insulinogenic index and insulin sensitivity assessed by WBISI, a hyperbolic relationship between insulin secretion and insulin sensitivity was found. The calculated disposition index was lower in subjects with PD vs. nGT (median 459 vs. 792, p = 0.004). We identified the OGTT 30-min/120-min insulin ratio as a simple marker, which is significantly lower in obese children with vs. without PD (median 0.87 vs. 1.29, p = 0.021) and which has a better sensitivity and specificity for detecting PD than HbA1c among obese children. CONCLUSIONS Children with identified PD had changes of several markers for β-cell function, insulin sensitivity and resistance before changes in HbA1c occurred. The lower disposition index indicates that these children have already inadequate β-cell compensation for the degree of insulin resistance.
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Affiliation(s)
- Christian L Roth
- Center for Integrative Brain Research, Seattle Children's Hospital and Research Institute, Endocrine Division, Seattle, WA, 98101, USA.
| | - Clinton Elfers
- Center for Integrative Brain Research, Seattle Children's Hospital and Research Institute, Endocrine Division, Seattle, WA, 98101, USA
| | - Christiane S Hampe
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, Seattle, WA, 98109, USA
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31
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Ehehalt S, Wiegand S, Körner A, Schweizer R, Liesenkötter KP, Partsch CJ, Blumenstock G, Spielau U, Denzer C, Ranke MB, Neu A, Binder G, Wabitsch M, Kiess W, Reinehr T. Low association between fasting and OGTT stimulated glucose levels with HbA1c in overweight children and adolescents. Pediatr Diabetes 2017; 18:734-741. [PMID: 27873429 DOI: 10.1111/pedi.12461] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 08/25/2016] [Accepted: 09/22/2016] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Diabetes and prediabetes are defined based on different methods such as fasting glucose, glucose at 2-hour in oral glucose tolerance test (OGTT), and glycated hemoglobin A1c (HbA1c). These parameters probably describe different deteriorations in glucose metabolism limiting the exchange between each other in definitions of diabetes. OBJECTIVE To investigate the relationship between OGTT and HbA1c in overweight and obese children and adolescents living in Germany. METHODS Study population: Overweight and obese children and adolescents (n = 4848; 2668 female) aged 7 to 17 years without known diabetes. The study population was stratified into the following subgroups: normal glucose tolerance, prediabetes, diabetes according to OGTT and/or HbA1c categories, confirmed diagnosis of diabetes. RESULTS In the entire study group fasting plasma glucose (FPG) correlated weakly to 2-hour glucose (r = 0.26), FPG correlated weakly to HbA1c (r = 0.18), and 2-hour glucose correlated weakly to HbA1c (r = 0.17, all P < .001). Patients with confirmed diabetes showed a very high correlation between FPG and 2-hour glucose (r = 0.73, n = 50). Moderate correlations could be found for patients with impaired fasting glucose (2-hour glucose vs HbA1c: r = 0.30, n = 436), for patients with diabetes according to OGTT and/or HbA1c (FPG vs 2-hour glucose: r = 0.43; 2-hour glucose vs HbA1c: r = -0.30, n = 115) and for patients with confirmed diabetes (2-hour glucose vs HbA1c: r = -0.47, all P < .001). CONCLUSIONS Because FPG, 2-hour glucose, and HbA1c correlated only weakly we propose that these parameters, particularly in the normal range, might reflect distinct aspects of carbohydrate metabolism.
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Affiliation(s)
- Stefan Ehehalt
- Public Health Department of Stuttgart, Department of Pediatrics, Dental Health Care, Health Promotion and Social Services, Stuttgart, Germany.,Pediatric Endocrinology and Diabetes, University Children's Hospital, University of Tübingen, Tübingen, Germany
| | - Susanna Wiegand
- Department of Pediatric Endocrinology and Diabetes, Charité Children's Hospital, Universitätsmedizin Berlin, Berlin, Germany
| | - Antje Körner
- Hospital for Children and Adolescents, Department of Women and Child Health, University Hospitals, University of Leipzig, Leipzig, Germany
| | - Roland Schweizer
- Pediatric Endocrinology and Diabetes, University Children's Hospital, University of Tübingen, Tübingen, Germany
| | | | | | - Gunnar Blumenstock
- Department of Clinical Epidemiology and Applied Biometry, University of Tübingen, Tuebingen, Germany
| | - Ulrike Spielau
- Hospital for Children and Adolescents, Department of Women and Child Health, University Hospitals, University of Leipzig, Leipzig, Germany
| | - Christian Denzer
- Division of Pediatric Endocrinology and Diabetes, Interdisciplinary Obesity Unit, Department of Pediatrics and Adolescent Medicine, Ulm University, Ulm, Germany
| | - Michael B Ranke
- Pediatric Endocrinology and Diabetes, University Children's Hospital, University of Tübingen, Tübingen, Germany
| | - Andreas Neu
- Pediatric Endocrinology and Diabetes, University Children's Hospital, University of Tübingen, Tübingen, Germany
| | - Gerhard Binder
- Pediatric Endocrinology and Diabetes, University Children's Hospital, University of Tübingen, Tübingen, Germany
| | - Martin Wabitsch
- Division of Pediatric Endocrinology and Diabetes, Interdisciplinary Obesity Unit, Department of Pediatrics and Adolescent Medicine, Ulm University, Ulm, Germany
| | - Wieland Kiess
- Hospital for Children and Adolescents, Department of Women and Child Health, University Hospitals, University of Leipzig, Leipzig, Germany
| | - Thomas Reinehr
- Department of Pediatric Endocrinology, Diabetes and Nutrition Medicine, Vestische Children's Hospital, University Witten/Herdecke, Datteln, Germany
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López López R, Fuentes García R, González-Villalpando ME, González-Villalpando C. Diabetic by HbA1c, Normal by OGTT: A Frequent Finding in the Mexico City Diabetes Study. J Endocr Soc 2017; 1:1247-1258. [PMID: 29264450 PMCID: PMC5686626 DOI: 10.1210/js.2017-00266] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 08/28/2017] [Indexed: 12/25/2022] Open
Abstract
CONTEXT The agreement between glucose-based and hemoglobin A1c (HbA1c)-based American Diabetes Association criteria in the diagnosis of normal glucose tolerance, prediabetes, or diabetes is under scrutiny. A need to explore the issue among different populations exists. OBJECTIVE Examine the results obtained with both methods in the diagnosis of the glycemic status. DESIGN The Mexico City Diabetes Study is a population-based, prospective investigation. SETTING Low-income elder urban community. PARTICIPANTS All 854 participants without known diabetes had both oral glucose tolerance test (OGTT) and HbA1c measurements on the same day of the 2008 phase. INTERVENTIONS Standardized protocol: questionnaires, anthropometry, and biomarkers. MAIN OUTCOME Diagnostic classification of American Diabetes Association criteria. RESULTS We found by OGTT normal glucose tolerance (NGT) in 512 (59.9%) participants, prediabetes [impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT)] in 261 (30.5%), and diabetes in 81 (9.4%). In total, 232 in the NGT group (45.3%) and 158 in the prediabetes group (60.5%) had HbA1c ≥6.5%. Body mass index, waist circumference, and blood pressure were significantly different among OGTT-defined diabetic status groups but not in the HbA1c-diagnosed group. We identified 404 participants in the NGT group with confirmed NGT throughout all phases of the Mexico City Diabetes Study. Of these, 184 (45.5%) had HbA1c ≥6.5%. In a vital/diabetes status follow-up performed subsequently, we found that, of these, 133 remained nondiabetic, 3 had prediabetes, 7 had diabetes, and 13 had died without diabetes; we were unable to ascertain the glycemic status in 5 and vital status in 23. CONCLUSIONS Normal OGTT coexisting with elevated HbA1c is a common finding in this cohort. It is possible that this finding is not mediated by hyperglycemia. This might occur in similar populations.
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Affiliation(s)
- Rubén López López
- Diabetes and Cardiovascular Research Unit, National Institute of Public Health, 14080 Mexico City, Mexico
- Center for Studies in Diabetes A.C., 01120 México City, Mexico
| | - Ruth Fuentes García
- Faculty of Sciences, National Autonomous University of México, 04510 Mexico City, Mexico
| | | | - Clicerio González-Villalpando
- Diabetes and Cardiovascular Research Unit, National Institute of Public Health, 14080 Mexico City, Mexico
- Center for Studies in Diabetes A.C., 01120 México City, Mexico
- The American British Cowdray Medical Center, 01120 Mexico City, México
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Sex and age affect agreement between fasting plasma glucose and glycosylated hemoglobin for diagnosis of dysglycemia. ENDOCRINOL DIAB NUTR 2017; 64:345-354. [DOI: 10.1016/j.endinu.2017.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 05/27/2017] [Accepted: 05/29/2017] [Indexed: 11/19/2022]
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Vega-Vázquez MA, Ramírez-Vick M, Muñoz-Torres FJ, González-Rodríguez LA, Joshipura K. Comparing glucose and hemoglobin A 1c diagnostic tests among a high metabolic risk Hispanic population. Diabetes Metab Res Rev 2017; 33:10.1002/dmrr.2874. [PMID: 27933750 PMCID: PMC5413375 DOI: 10.1002/dmrr.2874] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 10/28/2016] [Accepted: 11/24/2016] [Indexed: 11/09/2022]
Abstract
BACKGROUND Compare glycated hemoglobin (HbA1c ) diagnostic tests for prediabetes and diabetes with plasma glucose criteria and compare the metabolic profiles of people classified by HbA1c versus by glucose levels. METHODS Participants were recruited for the San Juan Overweight Adults Longitudinal Study. The participants were primarily Hispanic (98%), without previously diagnosed diabetes, and aged 40 to 65 years. Participants classified as normal glycemic, prediabetes, or diabetes on the basis of baseline HbA1c and plasma glucose criteria were compared with respect to baseline cardiometabolic factors. RESULTS The 1342 participants had a mean age of 50.5 ± 6.8 years and 28% were men. Thirty-one percent were diagnosed with prediabetes by plasma glucose criteria and 53.4% by HbA1c , and 8.1% were diagnosed with diabetes by plasma glucose criteria and 6.3% by HbA1c ; overall concordance rate was 55.1%. The area under the receiver operating characteristic curve of HbA1c compared to plasma glucose criteria was 0.62 for impaired glucose and 0.76 for diabetes. A worse cardiometabolic profile was seen within subgroups that met HbA1c and plasma glucose criteria for diabetes or prediabetes. Those diagnosed with prediabetes by plasma glucose criteria had significantly higher systolic blood pressure and higher homeostatic model assessment than those diagnosed using HbA1c . Participants diagnosed with diabetes by plasma glucose criteria had lower body mass index, smaller waist circumference, and lower insulinogenic and disposition indices, but higher homeostatic model assessment of insulin resistance, than those diagnosed by HbA1c . CONCLUSIONS Low concordance was seen between HbA1c and glucose measurements. The HbA1c is not a good test for prediabetes but shows reasonable validity for diabetes in this high-risk predominantly female Hispanic population. People classified by HbA1c , plasma glucose criteria, or both show different metabolic profiles; a combined test may be ideal.
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Affiliation(s)
- Mónica A. Vega-Vázquez
- University of Puerto Rico Medical Sciences Campus, Department of Medicine, Endocrinology, Diabetes and Metabolism Section, PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Margarita Ramírez-Vick
- University of Puerto Rico Medical Sciences Campus, Department of Medicine, Endocrinology, Diabetes and Metabolism Section, PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Francisco J. Muñoz-Torres
- University of Puerto Rico Medical Sciences Campus, School of Dental Medicine, Center for Clinical Research and Health Promotion PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Loida A. González-Rodríguez
- University of Puerto Rico Medical Sciences Campus, Department of Medicine, Endocrinology, Diabetes and Metabolism Section, PO Box 365067, San Juan, Puerto Rico 00936-5067
| | - Kaumudi Joshipura
- University of Puerto Rico Medical Sciences Campus, School of Dental Medicine, Center for Clinical Research and Health Promotion PO Box 365067, San Juan, Puerto Rico 00936-5067
- Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115
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Featherstone T, Eurich DT, Simpson SH. Limited Effectiveness of Diabetes Risk Assessment Tools in Seniors' Facility Residents. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2017; 20:329-335. [PMID: 28292477 DOI: 10.1016/j.jval.2016.09.2403] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 09/01/2016] [Accepted: 09/20/2016] [Indexed: 06/06/2023]
Abstract
BACKGROUND Undiagnosed diabetes can create significant management issues for seniors. OBJECTIVES To evaluate the effectiveness of two diabetes risk surveys-the Canadian Diabetes Risk Assessment Questionnaire (CANRISK) and the Finnish Diabetes Risk Score (FINDRISC)-to identify elevated blood glucose levels in seniors. METHODS A cross-sectional study was conducted in senior living facilities in Edmonton, Alberta, Canada. Those with known diabetes, without capacity, considered frail, or unable to communicate in English were excluded. Participants completed the CANRISK and FINDRISC surveys and had their glycated hemoglobin A1c (HbA1c) measured. Correlations between seniors with elevated risk on the surveys and an HbA1c value of 6.5% or higher or 6.0% and higher were assessed. RESULTS In this study, 290 residents participated; their mean age was 84.3 ± 7.3 years, 82 (28%) were men, and their mean HbA1c level was 5.7% ± 0.4%. Mean CANRISK score was 29.4 ± 8.0, and of the 254 (88%) considered to be moderate or high risk, 10 (4%) had an HbA1c level of 6.5% or higher and 49 (19%) had an HbA1c level of 6.0% or higher. Mean FINDRISC score was 10.8 ± 4.2, and of the 58 (20%) considered to be high or very high risk, 4 (7%) had an HbA1c level of 6.5% or higher and 15 (26%) had an HbA1c level of 6.0% or higher. The area under the receiver-operating characteristic curve was 0.57 (95% confidence interval 0.42-0.72) for the CANRISK survey identifying participants with an HbA1c level of 6.5% or higher and 0.59 (95% confidence interval 0.51-0.67) for identifying participants with an HbA1c level of 6.0% or higher. Similar characteristics were observed for the FINDRISC survey. CONCLUSIONS In this group of seniors with no known diabetes history, mean HbA1c level approximated that in the general population and neither survey effectively identified those with elevated blood glucose levels. These findings should be confirmed in a larger study; nevertheless, routine use of these surveys as a diabetes screening strategy does not appear to be warranted at this time.
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Affiliation(s)
- Travis Featherstone
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada; Alliance for Canadian Health Outcomes Research in Diabetes, University of Alberta, Edmonton, Alberta, Canada
| | - Dean T Eurich
- Alliance for Canadian Health Outcomes Research in Diabetes, University of Alberta, Edmonton, Alberta, Canada; School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Scot H Simpson
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada; Alliance for Canadian Health Outcomes Research in Diabetes, University of Alberta, Edmonton, Alberta, Canada.
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Onat A, Karadeniz Y, Can G, Karakoyun S, Özpamuk-Karadeniz F, Kaya A, Yüksel H. Fasting glycemia and glycated hemoglobin categories: Relationship to serum lipoprotein(a) level and disparity in 2 geographic regional groups of Turkey. Anatol J Cardiol 2017; 17:191-199. [PMID: 27849191 PMCID: PMC5864978 DOI: 10.14744/anatoljcardiol.2016.7190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2016] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE The goal of the present study was to determine covariates of serum lipoprotein (Lp) (a) within fasting glucose and glycated hemoglobin (HbA1c) categories, and to detect features that were different among covariates based on residence in Marmara and Central Anatolia (Marm-CA) regions or remaining 5 geographic regions of Turkey. METHODS Data of randomly-selected group of 1167 men and women (mean age 61 years) who participated in biennial surveys of 2013 and 2015 were cross-sectionally analyzed in 6 categories. RESULTS In multiple linear regression analysis of nondiabetic women, homeostatic model assessment (HOMA) index score was inversely associated with Lp(a) (ß coefficient 0.49; p=0.001); this was not true for men. In the whole sample, Lp(a) was significantly positively associated with female sex and with serum creatinine, and inversely in each sex with HOMA index (ß coefficient 0.63; p<0.001). Linear models within separate categories showed significant associations of Lp(a) only in individuals with no evidence of diabetes other than HbA1c >6.5%: in women, positive association with total cholesterol and inverse relationship with creatinine were found, and in men, positive association with apolipoprotein (apo) B was determined. Similar age, diastolic blood pressure, fasting glucose, triglyceride, uric acid, and C-reactive protein values were obtained from participants of 2 regional groups. Residents of the Marm-CA region who were nondiabetic exhibited significantly (by 23%) lower serum Lp(a) among individuals with HbA1c ≥5.7%, significantly higher HOMA index score, concentrations of apoB, and low-density lipoprotein cholesterol. CONCLUSION Hallmark of prediabetic and diabetic glycemia/HbA1c categories seems to be an independent inverse association between Lp(a) protein (yet not of apoB) and HOMA score, this being primarily so in residents of Marm-CA region.
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Affiliation(s)
- Altan Onat
- Department of Cardiology, Cerrahpaşa Faculty of Medicine, İstanbul University; İstanbul-Turkey.
| | - Yusuf Karadeniz
- Department of Medicine, Mehmet Akif İnan Training and Research Hospital; Şanlıurfa-Turkey
| | - Günay Can
- Department of Public Health, Cerrahpaşa Faculty of Medicine, İstanbul University; İstanbul-Turkey
| | - Süleyman Karakoyun
- Department of Cardiology, Faculty of Medicine, Kafkas University; Kars-Turkey
| | | | - Ayşem Kaya
- Biochemistry Section, Institute of Cardiology, İstanbul University; İstanbul-Turkey
| | - Hüsniye Yüksel
- Department of Cardiology, Cerrahpaşa Faculty of Medicine, İstanbul University; İstanbul-Turkey
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Avilés-Santa ML, Pérez CM, Schneiderman N, Savage PJ, Kaplan RC, Teng Y, Suárez EL, Cai J, Giachello AL, Talavera GA, Cowie CC. Detecting prediabetes among Hispanics/Latinos from diverse heritage groups: Does the test matter? Findings from the Hispanic Community Health Study/Study of Latinos. Prev Med 2017; 95:110-118. [PMID: 27956225 PMCID: PMC5290333 DOI: 10.1016/j.ypmed.2016.12.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 11/17/2016] [Accepted: 12/07/2016] [Indexed: 12/16/2022]
Abstract
The objectives of this analysis were to compare the ability of fasting plasma glucose (FPG), post oral load plasma glucose (2hPG), and hemoglobin A1c (HbA1c) to identify U.S. Hispanic/Latino individuals with prediabetes, and to assess its cardiovascular risk factor correlates. This is a cross-sectional analysis of baseline data from 15,507 adults without self-reported diabetes mellitus from six Hispanic/Latino heritage groups, enrolled in the Hispanic Community Health Study/Study of Latinos, which takes place in four U.S. communities. The prevalence of prediabetes was determined according to individual or combinations of ADA-defined cut points: FPG=5.6-7.0mmol/L, 2hPG=7.8-11.1mmol/L, and HbA1c=5.7%-6.4% (39-46mmol/mol). The sensitivity of these criteria to detect prediabetes was estimated. The prevalence ratios (PRs) for selected cardiovascular risk factors were compared among alternative categories of prediabetes versus normoglycemia [FPG<5.6mmol/L and 2hPG<7.8mmol/L and HbA1c<5.7% (39mmol/mol)]. Approximately 36% of individuals met any of the ADA prediabetes criteria. Using 2hPG as the gold standard, the sensitivity of FPG was 40.1%, HbA1c was 45.6%, and that of HbA1c+FPG was 62.2%. The number of significant PRs for cardiovascular risk factors was higher among individuals with isolated 2hPG=7.8-11.1mmol/L, FPG=5.6-7.0mmol/L+HbA1c=5.7%-6.4%, or those who met the three prediabetes criteria. Assessing FPG, HbA1c, and cardiovascular risk factors in Hispanics/Latinos at risk might enhance the early prevention of diabetes mellitus and cardiovascular complications in this young and growing population, independent of their heritage group.
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Affiliation(s)
- M Larissa Avilés-Santa
- National Heart, Lung, and Blood Institute, 6701 Rockledge Drive, Room 10188, Bethesda, MD 20892, United States.
| | - Cynthia M Pérez
- University of Puerto Rico Graduate School of Public Health, Department of Biostatistics and Epidemiology, Medical Sciences Campus, PO Box 365067, San Juan 00936-5067, Puerto Rico.
| | - Neil Schneiderman
- University of Miami, 5665 Ponce de Leon Boulevard, Room 408, PO Box 248185, Coral Gables, FL 33124, United States.
| | - Peter J Savage
- National Institute of Diabetes and Digestive and Kidney Diseases, 6707 Democracy Boulevard, Bethesda, MD 20982, United States.
| | - Robert C Kaplan
- Albert Einstein College of Medicine, Belfer Building, Room 1306C, 1300 Morris Park Ave, Bronx, NY 10461, United States.
| | - Yanping Teng
- University of North Carolina at Chapel Hill, 137 East Franklin Street, Suite 203, Mail Station UNC staff use CB803, Chapel Hill, NC 27514, United States.
| | - Erick L Suárez
- University of Puerto Rico Graduate School of Public Health, Department of Biostatistics and Epidemiology, Medical Sciences Campus, PO Box 365067, San Juan 00936-5067, Puerto Rico.
| | - Jianwen Cai
- University of North Carolina at Chapel Hill, 137 East Franklin Street, Suite 203, Mail Station UNC staff use CB803, Chapel Hill, NC 27514, United States.
| | - Aida L Giachello
- Northwestern University, Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL 60611, United States.
| | - Gregory A Talavera
- Institute for Behavioral and Community Health, Graduate School of Public Health, San Diego State University, 450 Fourth Ave, Suite 400, Chula Vista, CA 91910, United States.
| | - Catherine C Cowie
- National Institute of Diabetes and Digestive and Kidney Diseases, 6707 Democracy Boulevard, Bethesda, MD 20982, United States.
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Nakagami T, Tanaka Y, Oya J, Kurita M, Isago C, Hasegawa Y, Ito A, Hirota N, Tsuzura R, Uchigata Y. Associations of HbA1c and fasting plasma glucose with incident diabetes: Implications for pre-diabetes thresholds in a Japanese population. Prim Care Diabetes 2016; 10:407-414. [PMID: 27515716 DOI: 10.1016/j.pcd.2016.07.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2016] [Revised: 07/02/2016] [Accepted: 07/16/2016] [Indexed: 02/03/2023]
Abstract
AIMS This study assessed pre-diabetes (pre-DM) cutoffs for HbA1c and fasting plasma glucose (FPG) that were associated with an increased risk of incident DM. METHODS We evaluated 2267 non-diabetic Japanese health-check examinees (HbA1c: <6.5% [<48mmol/mol] and FPG: <7.0mmol/L) who were 30-79 years old and were followed-up for 5 years. Incident DM was defined as HbA1c of ≥6.5% (≥48mmol/mol), FPG of ≥7.0mmol/L, or physician-diagnosed DM. RESULTS During 11047 person-years, we identified 99 incident DM cases (4.3%). The incidence of DM increased with increasing baseline HbA1c or FPG levels, and the change points (95% confidence intervals) were 5.7% (5.6-5.7%; 39mmol/mol [38-39mmol/mol]) for HbA1c and 5.5mmol/L (5.5-5.6mmol/L) for FPG. The adjusted hazard ratios (HRs) for incident DM per one standard deviation-increase in HbA1c and FPG were 5.5 (4.4-6.8) and 4.0 (3.2-4.8), respectively. The adjusted HRs for incident DM were significantly higher at HbA1c of 5.7-6.4% (39-46mmol/mol) or FPG of 5.5-6.9mmol/L, compared to HbA1c of <5.7% (<39mmol/mol) or FPG of <5.5mmol/L. CONCLUSION The lower cut-offs for pre-DM may be 5.7% (39mmol/mol) for HbA1c and 5.5mmol/L for FPG in this Japanese population.
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Affiliation(s)
- Tomoko Nakagami
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.
| | - Yuki Tanaka
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Junko Oya
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Moritoshi Kurita
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Chisato Isago
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Yukiko Hasegawa
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Arata Ito
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Naoki Hirota
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Reika Tsuzura
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Yasuko Uchigata
- Department of Medicine III, Diabetes Center, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
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Rodriguez-Segade S, Garcia JR, García-López JM, Gude F, Casanueva FF, Rs-Alonso S, Camiña F. Impact of Mean Cell Hemoglobin on Hb A1c-Defined Glycemia Status. Clin Chem 2016; 62:1570-1578. [PMID: 27679433 DOI: 10.1373/clinchem.2016.257659] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 07/27/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND Several hematological alterations are associated with altered hemoglobin A1c (Hb A1c). However, there have been no reports of their influence on the rates of exceeding standard Hb A1c thresholds by patients for whom Hb A1c determination is requested in clinical practice. METHODS The initial data set included the first profiles (complete blood counts, Hb A1c, fasting glucose, and renal and hepatic parameters) of all adult patients for whom such a profile was requested between 2008 and 2013 inclusive. After appropriate exclusions, 21844 patients remained in the study. Linear and logistic regression models were adjusted for demographic, hematological, and biochemical variables excluded from the predictors. RESULTS Mean corpuscular hemoglobin (MCH) and mean corpuscular volume (MCV) correlated negatively with Hb A1c. Fasting glucose, MCH, and age emerged as predictors of Hb A1c in a stepwise regression that discarded sex, hemoglobin, MCV, mean corpuscular hemoglobin concentration (MCHC), serum creatinine, and liver disease. Mean Hb A1c in MCH interdecile intervals fell from 6.8% (51 mmol/mol) in the lowest (≤27.5 pg) to 6.0% (43 mmol/mol) in the highest (>32.5 pg), with similar results for MCV. After adjustment for fasting glucose and other correlates of Hb A1c, a 1 pg increase in MCH reduced the odds of Hb A1c-defined dysglycemia, diabetes and poor glycemia control by 10%-14%. CONCLUSIONS For at least 25% of patients, low or high MCH or MCV levels are associated with increased risk of an erroneous Hb A1c-based identification of glycemia status. Although causality has not been demonstrated, these parameters should be taken into account in interpreting Hb A1c levels in clinical practice.
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Affiliation(s)
- Santiago Rodriguez-Segade
- Department of Biochemistry and Molecular Biology, .,University Hospital Clinical Biochemistry Laboratory
| | | | | | - Francisco Gude
- Clinical Epidemiology Unit, Universidade de Santiago de Compostela, 15782-Santiago de Compostela, A Coruña, Spain
| | - Felipe F Casanueva
- Division of Endocrinology.,Physiopathology of Obesity and Nutrition Biomedical Research Network Consortium; and
| | - Santiago Rs-Alonso
- the Division of Pneumology, University Hospital Clinical Complex (CHUAC), A Coruña, Spain
| | - Félix Camiña
- Department of Biochemistry and Molecular Biology
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Fiorentino TV, Sesti F, Andreozzi F, Pedace E, Sciacqua A, Hribal ML, Perticone F, Sesti G. One-hour post-load hyperglycemia combined with HbA1c identifies pre-diabetic individuals with a higher cardio-metabolic risk burden. Atherosclerosis 2016; 253:61-69. [PMID: 27588935 DOI: 10.1016/j.atherosclerosis.2016.08.020] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2016] [Revised: 08/03/2016] [Accepted: 08/19/2016] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND AIMS Evidence suggests that combining 1-hour plasma glucose ≥155 mg/dl during an oral glucose tolerance test (OGTT) with glycosylated hemoglobin (HbA1c) significantly increases their predictive power for incident diabetes, while their individual and joint associations with cardio-metabolic risk factors remain undefined. Herein, we evaluated whether 1-hour post-load plasma glucose ≥155 mg/dl combined with HbA1c may identify pre-diabetic individuals with a higher cardio-metabolic risk. METHODS Anthropometric and metabolic characteristics, insulin sensitivity and insulin secretion assessed by OGTT-derived indexes, carotid intima-media thickness (IMT), pulse pressure, and rate pressure product were evaluated in 1495 individuals. RESULTS As compared with subjects with 1-hour post-load glucose <155 mg/dl, individuals with 1-hour post-load glucose ≥155 mg/dl exhibited a significantly worse cardio metabolic profile, both in the group with HbA1c <5.7%, and in the group with prediabetes (HbA1c 5.7-6.4%). Specifically, in both groups, subjects with 1-hour post-load glucose ≥155 mg/dl had higher fasting and 2-h post-load glucose (p < 0.0001 for all in both groups), higher HOMA-IR (p < 0.0001 in both groups), and carotid IMT (p = 0.05 in the group with HbA1c <5.7% and p = 0.03 in the group HbA1c 5.7-6.4%), as well as lower Matsuda index, insulinogenic index and disposition index (p < 0.0001 in both groups), and lower insulin-stimulated glucose disposal (p < 0.0001 in the group with HbA1c <5.7% and p = 0.03 in the group HbA1c 5.7-6.4%). CONCLUSIONS Hyperglycemia at 1-hour during an OGTT may be a useful tool to identify a subset of individuals within HbA1c-defined glycemic categories at higher risk of developing type 2 diabetes and cardiovascular disease.
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Affiliation(s)
- Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | | | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Elisabetta Pedace
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Marta Letizia Hribal
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy; Catholic University, Rome, Italy
| | - Francesco Perticone
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Giorgio Sesti
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy.
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Guan X, Zheng L, Sun G, Guo X, Li Y, Song H, Tian F, Sun Y. The changing relationship between HbA1c and FPG according to different FPG ranges. J Endocrinol Invest 2016; 39:523-8. [PMID: 26385729 DOI: 10.1007/s40618-015-0389-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Accepted: 09/07/2015] [Indexed: 12/31/2022]
Abstract
PURPOSE Since the American Diabetes Association included hemoglobin A1c (HbA1c) in the diagnostic criteria for diabetes in 2010, the clinical use of HbA1c has remained controversial. We explored the use of HbA1c for diagnosing diabetes and intermediate hyperglycemia in comparison with fasting plasma glucose (FPG). METHODS We screened 3710 adult subjects (mean age = 55.24 years) comprising 1704 males and 2006 females. We drew an receiver operating characteristic (ROC) curve to evaluate the ability of HbA1c to diagnose diabetes and intermediate hyperglycemia according to FPG. We used Kappa coefficient and Pearson's correlation coefficient to evaluate the relationship between HbA1c and FPG in different FPG ranges. RESULTS The areas under ROC curve to diagnose diabetes and intermediate hyperglycemia were 0.859 (95 % CI 0.827-0.892) and 0.633 (95 % CI 0.615-0.651). The kappa coefficients between FPG and HbA1c for diagnosis of diabetes and intermediate hyperglycemia were 0.601 (P < 0.001) and 0.104 (P < 0.001). The Pearson's correlation coefficient of FPG and HbA1c was 0.640 (P < 0.001), but when we classified FPG as normal, intermediate hyperglycemia and diabetes, the coefficients became 0.07 (P = 0.002), 0.185 (P < 0.001) and 0.760 (P < 0.001), respectively. CONCLUSIONS The relationship between HbA1c and FPG changed according to the different FPG ranges. When FPG was higher, the relationship was stronger. HbA1c and FPG were highly consistent in diagnosing diabetes, but they were not in predicting intermediate hyperglycemia.
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Affiliation(s)
- X Guan
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China
| | - L Zheng
- Department of Clinical Epidemiology, Library, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China
| | - G Sun
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China
| | - X Guo
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China
| | - Y Li
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China
| | - H Song
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China
| | - F Tian
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China
| | - Y Sun
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, People's Republic of China.
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Hong S, Kang JG, Kim CS, Lee SJ, Lee CB, Ihm SH. Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey. Diabetes Res Clin Pract 2016; 113:23-5. [PMID: 26972956 DOI: 10.1016/j.diabres.2016.01.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Revised: 01/18/2016] [Accepted: 01/22/2016] [Indexed: 12/16/2022]
Abstract
We compared the characteristics of a Korean adult population diagnosed with diabetes using only a fasting plasma glucose criterion or an HbA1c criterion. The single difference between these two groups was age. Further studies should be undertaken to clarify whether age-specific diagnostic criteria would be appropriate in Korean populations.
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Affiliation(s)
- Sangmo Hong
- Division of Endocrinology, College of Medicine, Hanyang University, Seoul, Republic of Korea
| | - Jun Goo Kang
- Division of Endocrinology and Metabolism, Hallym University Sacred Heart Hospital, Gyeonggi-do, Republic of Korea.
| | - Chul Sik Kim
- Division of Endocrinology and Metabolism, Hallym University Sacred Heart Hospital, Gyeonggi-do, Republic of Korea
| | - Seong Jin Lee
- Division of Endocrinology and Metabolism, Hallym University Sacred Heart Hospital, Gyeonggi-do, Republic of Korea
| | - Chang Beom Lee
- Division of Endocrinology, College of Medicine, Hanyang University, Seoul, Republic of Korea
| | - Sung-Hee Ihm
- Division of Endocrinology and Metabolism, Hallym University Sacred Heart Hospital, Gyeonggi-do, Republic of Korea
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Du T, Yuan G, Zhou X, Sun X. Sex differences in the effect of HbA1c-defined diabetes on a wide range of cardiovascular disease risk factors. Ann Med 2016; 48:34-41. [PMID: 26758477 PMCID: PMC5471318 DOI: 10.3109/07853890.2015.1127406] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Sex differences in the association of HbA1c and cardiovascular disease (CVD) risk remain controversial. We examined CVD risk profile in both HbA1c-defined diabetic and nondiabetic men and women. METHODS We conducted a cross-sectional analysis of 7139 Chinese adults using data from the China Health and Nutrition Survey 2009. RESULTS HbA1c-defined nondiabetic men have a more favorable CVD risk profile than female counterparts. However, HbA1c-defined diabetic men have higher levels of triglyceride, low-density lipoprotein (LDL)-cholesterol, and triglyceride/high-density lipoprotein (HDL)-cholesterol and lower levels of HDL-cholesterol, be more visceral obese as indicated by visceral adiposity index (VAI) and lipid accumulation product (LAP), and more insulin resistant as assessed by the triglycerides and glucose index (TyG) than HbA1c-defined diabetic women. Furthermore, HbA1c-defined diabetic men showed greater relative differences in ferritin than diabetic women when compared with their nondiabetic counterparts. Statistically significant sex by HbA1c-defined diabetes status interactions were observed for triglyceride, LDL-cholesterol, HDL-cholesterol, triglyceride/HDL cholesterol, VAI, LAP, TyG, and ferritin (all ps < 0.05). Consideration of VAI or homeostasis model assessment of insulin resistance or both failed to eliminate the sex differences in the associations between diabetes and these CVD risk factors. CONCLUSIONS Men who progressed from HbA1c-defined nondiabetes to HbA1c-defined diabetes have greater metabolic deteriorations and put on more visceral adiposity than women. Key messages HbA1c-defined nondiabetic men have a more favorable CVD risk profile than female counterparts. Men have to undergo a greater metabolic deterioration to develop HbA1c-defined diabetes than do women. Men have to put on more visceral adiposity to develop HbA1c-defined diabetes than do women.
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Affiliation(s)
- Tingting Du
- a Department of Endocrinology , Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , China
| | - Gang Yuan
- a Department of Endocrinology , Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , China
| | - Xinrong Zhou
- a Department of Endocrinology , Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , China
| | - Xingxing Sun
- b Department of Anesthesiology , Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , China
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Giráldez-García C, Sangrós FJ, Díaz-Redondo A, Franch-Nadal J, Serrano R, Díez J, Buil-Cosiales P, García-Soidán FJ, Artola S, Ezkurra P, Carrillo L, Millaruelo JM, Seguí M, Martínez-Candela J, Muñoz P, Goday A, Regidor E. Cardiometabolic Risk Profiles in Patients With Impaired Fasting Glucose and/or Hemoglobin A1c 5.7% to 6.4%: Evidence for a Gradient According to Diagnostic Criteria: The PREDAPS Study. Medicine (Baltimore) 2015; 94:e1935. [PMID: 26554799 PMCID: PMC4915900 DOI: 10.1097/md.0000000000001935] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
It has been suggested that the early detection of individuals with prediabetes can help prevent cardiovascular diseases. The purpose of the current study was to examine the cardiometabolic risk profile in patients with prediabetes according to fasting plasma glucose (FPG) and/or hemoglobin A1c (HbA1c) criteria.Cross-sectional analysis from the 2022 patients in the Cohort study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS Study) was developed. Four glycemic status groups were defined based on American Diabetes Association criteria. Information about cardiovascular risk factors-body mass index, waist circumference, blood pressure, cholesterol, triglycerides, uric acid, gamma-glutamyltransferase, glomerular filtration-and metabolic syndrome components were analyzed. Mean values of clinical and biochemical characteristics and frequencies of metabolic syndrome were estimated adjusting by age, sex, educational level, and family history of diabetes.A linear trend (P < 0.001) was observed in most of the cardiovascular risk factors and in all components of metabolic syndrome. Normoglycemic individuals had the best values, individuals with both criteria of prediabetes had the worst, and individuals with only one-HbA1c or FPG-criterion had an intermediate position. Metabolic syndrome was present in 15.0% (95% confidence interval: 12.6-17.4), 59.5% (54.0-64.9), 62.0% (56.0-68.0), and 76.2% (72.8-79.6) of individuals classified in normoglycemia, isolated HbA1c, isolated FPG, and both criteria groups, respectively.In conclusion, individuals with prediabetes, especially those with both criteria, have worse cardiometabolic risk profile than normoglycemic individuals. These results suggest the need to use both criteria in the clinical practice to identify those individuals with the highest cardiovascular risk, in order to offer them special attention with intensive lifestyle intervention programs.
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Affiliation(s)
- Carolina Giráldez-García
- From the Department of Preventive Medicine and Public Health (History of Science), Universidad Complutense de Madrid (CG-G, ER), Instituto de Investigación Sanitaria del Hospital Clinico San Carlos (IdISSC), Madrid (CG-G, ER), Torrero-La Paz Health Center, Zaragoza (FJS, JMM), Department of Preventive Medicine and Quality Management, Hospital General Universitario Gregorio Marañón, Madrid (AD-R), Raval-Sud Primary Care Team, Barcelona (JF-N), Martín de Vargas Health Center, Madrid (RS), Tafalla Health Center, Navarra (JD), Azpilagaña Primary Care Team, Navarra (PB-C), Porriño Health Center, Pontevedra (JG-S), Hereza Health Center, Madrid (SA), Zumaia Health Center, Guipúzcua (PE), La Victoria de Acentejo Health Center, Santa Cruz de Tenerife (LC), Es Castell Basic Health Unit, Islas Baleares (MS), Yecla Health Center, Murcia (JM-C), Family and Community Medicine Teaching Unit, Cantabria (PM), Endocrinology and Nutrition Department, Del Mar Hospital, Barcelona (AG); and Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain (ER)
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HbA1c alone is a poor indicator of cardiometabolic risk in middle-aged subjects with pre-diabetes but is suitable for type 2 diabetes diagnosis: a cross-sectional study. PLoS One 2015; 10:e0134154. [PMID: 26266799 PMCID: PMC4534196 DOI: 10.1371/journal.pone.0134154] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 07/06/2015] [Indexed: 12/25/2022] Open
Abstract
Objectives Glycated haemoglobin A1c (HbA1c) measurement is recommended as an alternative to fasting plasma glucose (FPG) for the diagnosis of pre-diabetes and type 2 diabetes. However, evidence suggests discordance between HbA1c and FPG. In this study we examine a range of metabolic risk features, pro-inflammatory cytokines, acute-phase response proteins, coagulation factors and white blood cell counts to determine which assay more accurately identifies individuals at increased cardiometabolic risk. Materials and Methods This was a cross-sectional study involving a random sample of 2,047 men and women aged 46-73 years. Binary and multinomial logistic regression were employed to examine risk feature associations with pre-diabetes [either HbA1c levels 5.7-6.4% (39-46 mmol/mol) or impaired FPG levels 5.6-6.9 mmol/l] and type 2 diabetes [either HbA1c levels >6.5% (>48 mmol/mol) or FPG levels >7.0 mmol/l]. Receiver operating characteristic curve analysis was used to evaluate the ability of HbA1c to discriminate pre-diabetes and diabetes defined by FPG. Results Stronger associations with diabetes-related phenotypes were observed in pre-diabetic subjects diagnosed by FPG compared to those detected by HbA1c. Individuals with type 2 diabetes exhibited cardiometabolic profiles that were broadly similar according to diagnosis by either assay. Pre-diabetic participants classified by both assays displayed a more pro-inflammatory, pro-atherogenic, hypertensive and insulin resistant profile. Odds ratios of having three or more metabolic syndrome features were also noticeably increased (OR: 4.0, 95% CI: 2.8-5.8) when compared to subjects diagnosed by either HbA1c (OR: 1.4, 95% CI: 1.2-1.8) or FPG (OR: 3.0, 95% CI: 1.7-5.1) separately. Conclusions In middle-aged Caucasian-Europeans, HbA1c alone is a poor indicator of cardiometabolic risk but is suitable for diagnosing diabetes. Combined use of HbA1c and FPG may be of additional benefit for detecting individuals at highest odds of type 2 diabetes development.
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Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331,288 participants. Lancet Diabetes Endocrinol 2015; 3:624-637. [PMID: 26109024 PMCID: PMC4673089 DOI: 10.1016/s2213-8587(15)00129-1] [Citation(s) in RCA: 119] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 04/23/2015] [Accepted: 04/29/2015] [Indexed: 12/16/2022]
Abstract
BACKGROUND Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions. METHODS We used data from 96 population-based health examination surveys that had measured at least two of the biomarkers used for defining diabetes. Diabetes was defined using HbA1c (HbA1c ≥6·5% or history of diabetes diagnosis or using insulin or oral hypoglycaemic drugs) compared with either FPG only or FPG-or-2hOGTT definitions (FPG ≥7·0 mmol/L or 2hOGTT ≥11·1 mmol/L or history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated diabetes prevalence, taking into account complex survey design and survey sample weights. We compared the prevalences of diabetes using different definitions graphically and by regression analyses. We calculated sensitivity and specificity of diabetes diagnosis based on HbA1c compared with diagnosis based on glucose among previously undiagnosed individuals (ie, excluding those with history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated sensitivity and specificity in each survey, and then pooled results using a random-effects model. We assessed the sources of heterogeneity of sensitivity by meta-regressions for study characteristics selected a priori. FINDINGS Population prevalence of diabetes based on FPG-or-2hOGTT was correlated with prevalence based on FPG alone (r=0·98), but was higher by 2-6 percentage points at different prevalence levels. Prevalence based on HbA1c was lower than prevalence based on FPG in 42·8% of age-sex-survey groups and higher in another 41·6%; in the other 15·6%, the two definitions provided similar prevalence estimates. The variation across studies in the relation between glucose-based and HbA1c-based prevalences was partly related to participants' age, followed by natural logarithm of per person gross domestic product, the year of survey, mean BMI, and whether the survey population was national, subnational, or from specific communities. Diabetes defined as HbA1c 6·5% or more had a pooled sensitivity of 52·8% (95% CI 51·3-54·3%) and a pooled specificity of 99·74% (99·71-99·78%) compared with FPG 7·0 mmol/L or more for diagnosing previously undiagnosed participants; sensitivity compared with diabetes defined based on FPG-or-2hOGTT was 30·5% (28·7-32·3%). None of the preselected study-level characteristics explained the heterogeneity in the sensitivity of HbA1c versus FPG. INTERPRETATION Different biomarkers and definitions for diabetes can provide different estimates of population prevalence of diabetes, and differentially identify people without previous diagnosis as having diabetes. Using an HbA1c-based definition alone in health surveys will not identify a substantial proportion of previously undiagnosed people who would be considered as having diabetes using a glucose-based test. FUNDING Wellcome Trust, US National Institutes of Health.
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Kharroubi AT, Darwish HM. Diabetes mellitus: The epidemic of the century. World J Diabetes 2015; 6:850-67. [PMID: 26131326 PMCID: PMC4478580 DOI: 10.4239/wjd.v6.i6.850] [Citation(s) in RCA: 567] [Impact Index Per Article: 56.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Revised: 03/25/2015] [Accepted: 04/10/2015] [Indexed: 02/05/2023] Open
Abstract
The epidemic nature of diabetes mellitus in different regions is reviewed. The Middle East and North Africa region has the highest prevalence of diabetes in adults (10.9%) whereas, the Western Pacific region has the highest number of adults diagnosed with diabetes and has countries with the highest prevalence of diabetes (37.5%). Different classes of diabetes mellitus, type 1, type 2, gestational diabetes and other types of diabetes mellitus are compared in terms of diagnostic criteria, etiology and genetics. The molecular genetics of diabetes received extensive attention in recent years by many prominent investigators and research groups in the biomedical field. A large array of mutations and single nucleotide polymorphisms in genes that play a role in the various steps and pathways involved in glucose metabolism and the development, control and function of pancreatic cells at various levels are reviewed. The major advances in the molecular understanding of diabetes in relation to the different types of diabetes in comparison to the previous understanding in this field are briefly reviewed here. Despite the accumulation of extensive data at the molecular and cellular levels, the mechanism of diabetes development and complications are still not fully understood. Definitely, more extensive research is needed in this field that will eventually reflect on the ultimate objective to improve diagnoses, therapy and minimize the chance of chronic complications development.
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Rodriguez-Segade S, Rodriguez J, García-López JM, Casanueva FF, Coleman IC, Alonso de la Peña C, Camiña F. Influence of the glycation gap on the diagnosis of type 2 diabetes. Acta Diabetol 2015; 52:453-9. [PMID: 25344767 DOI: 10.1007/s00592-014-0666-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Accepted: 10/14/2014] [Indexed: 12/16/2022]
Abstract
AIMS The results of using HbA1C-based criteria for diagnosis of type 2 diabetes and prediabetes have been reported to differ from those obtained using fasting plasma glucose (FPG) or an oral glucose tolerance test (OGTT). We aimed to determine whether these discrepancies might be due to the influence of the glycation gap. METHODS For 430 patients without previously diagnosed diabetes for whom an OGTT had been requested in normal clinical practice, FPG, fructosamine and HbA1C were measured at the time of the test and again 1 month later. Glycaemia/diabetes status was classified as normoglycaemia, prediabetes or diabetes using both HbA1C-based and FPG/OGTT-based criteria, and their glycation gaps GG were calculated. RESULTS The specificity of an HbA1C level of 6.5 % (48 mmol/mol) for diagnosis of FPG/OGTT-defined type 2 diabetes was 99 %, but its sensitivity was less than 37 %. HbA1C-diabetic patients had higher average blood glucose levels than FPG/OGTT-diabetic patients. With either set of criteria, high-GG patients were disproportionately numerous among those classified as diabetic and were disproportionately infrequent among those classified as normoglycaemic, but the effect was greater for the HbA1C criteria. CONCLUSIONS The differences between HbA1C-based and FPG/OGTT-based diagnoses are largely due to the influence of the glycation gap, which may also influence the early stages of FPG/OGTT-defined diabetes.
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Affiliation(s)
- Santiago Rodriguez-Segade
- Department of Biochemistry and Molecular Biology, University of Santiago de Compostela, Santiago de Compostela, Spain,
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Bergman M, Chetrit A, Roth J, Dankner R. Dysglycemia and long-term mortality: observations from the Israel study of glucose intolerance, obesity and hypertension. Diabetes Metab Res Rev 2015; 31:368-75. [PMID: 25352076 DOI: 10.1002/dmrr.2618] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 10/07/2014] [Accepted: 10/11/2014] [Indexed: 01/22/2023]
Abstract
BACKGROUND We describe the relationship between dysglycemia and long-term mortality and elucidate the relationship between blood glucose levels during an oral glucose tolerance test (OGTT) and haemoglobin A1 (HbA1) and mortality. METHODS A cohort of 1410 individuals was followed for 33 years since 1980. Fasting and post-OGTT glucose parameters were used to categorize the cohort according to baseline glycemic status. RESULTS The mortality rate increased from 43% in normoglycemic individuals to 53.3, 61.7, 72.9 and 88.0% in those with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), IFG/IGT and diabetes, respectively. The highest mortality rate, compared with the normoglycemic category, was observed in individuals with IFG/IGT and diabetes according to a Cox proportional hazard model (HR = 1.38, 95%CI 1.10-1.74 and HR = 2.14, 95%CI 1.70-2.70, respectively), followed by individuals with IGT and IFG, but this did not reach statistical significance. We speculate that the IFG group may represent a mixture of individuals en route from normal to the next two categories as well as another cohort whose glucose levels are stably set at the upper reaches of the normal distribution. Significant differences were found between 1 and 2 h glucose values (p < 0.001). Fasting, 60 and 120 min glucose values were positively associated with increasing HbA1 quintiles (p < 0.05). The mean HbA1 was significantly higher in those who died (p = 0.01). The highest mortality (58.8%) was observed in the upper HbA1 quintile that was also associated with the highest prevalence of the metabolic syndrome (17.2%). CONCLUSIONS This study shows a continuous relationship between the severity of dysglycemia and long-term mortality and should promote the early recognition of prediabetes. The 1 h post-load glucose level was continuously associated with increasing HbA1 concentrations and may therefore serve as an early marker for abnormalities in glucose tolerance. An elevated 1 h post-load glucose level may potentially identify at-risk individuals well before the traditional 2 h glucose value.
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Affiliation(s)
- Michael Bergman
- NYU School of Medicine, Department of Medicine, Division of Endocrinology and Metabolism, NYU Diabetes and Endocrine Associates, New York, NY, USA
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