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Mou P, Zhao XD, Tang XM, Liu ZH, Wang HY, Zeng WN, Wang D, Zhou ZK. Safety of perioperative intravenous different doses of dexamethasone in primary total joint arthroplasty: a retrospective large-scale cohort study. BMC Musculoskelet Disord 2024; 25:1067. [PMID: 39725995 DOI: 10.1186/s12891-024-08225-z] [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: 11/22/2023] [Accepted: 12/19/2024] [Indexed: 12/28/2024] Open
Abstract
PURPOSE Perioperative intravenous different doses of dexamethasone (DEX) can realize effective clinical outcomes in total joint arthroplasty (TJA). However, the effect of different DEX doses on readmission rates and postoperative complications remains unclear. METHODS We retrospectively analyzed patients who underwent primary TJA between December 2012 and October 2020. Patients were categorized into three groups based on the total perioperative dose of DEX: control group (DEX = 0 mg), low-dose group (DEX < 15 mg), and high-dose group (DEX ≥ 15 mg). Primary outcomes included 30-day and 90-day readmission rates. Secondary outcomes included the rates of periprosthetic joint infection (PJI) and wound complications, with treatment outcomes for these complications were also evaluated. Multivariable analysis was used to identify risk factors for readmission. RESULTS A total of 14,557 procedures were included, with 6,686 in the control group, 4,325 in the low-dose group, and 3,546 in the high-dose group. No significant differences were observed among the groups for 30-day (p = 0.645) or 90-day readmission rates (p = 0.539). Additionally, there were no significant differences in rates of PJI (p = 0.401) or wound complications (p = 0.079). Treatment for PJI and wound complications was successful across all groups. Risk factors for 30-day readmission included age > 80 years (OR: 2.585, 95% CI: 1.123-5.954, p = 0.026) and undergoing total hip arthroplasty (THA) (OR: 1.692, 95% CI: 1.137-2.518, p = 0.009). For 90-day readmission, age 71-80 years (OR: 2.199, 95% CI: 1.349-3.583, p = 0.002), age > 80 years (OR: 3.897, 95% CI: 1.966-7.727, p < 0.001), and THA (OR: 1.622, 95% CI: 1.179-2.230, p = 0.003) were significant risk factors. However, neither low-dose nor high-dose DEX was associated with increased 30-day or 90-day readmission rates. CONCLUSIONS Perioperative intravenous DEX may be not associated with the readmission, PJI, and wound complications in patients undergoing primary TJA.
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Affiliation(s)
- Ping Mou
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, People's Republic of China
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xiao-Dan Zhao
- Trauma Medical Center, Department of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xiu-Mei Tang
- Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Frontiers Science Center for Disease-Related Molecular Network, School of Medicine, West China Hospital, Sichuan University, West China, Chengdu, 610041, People's Republic of China
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University/Institute of Hospital Management, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Zun-Han Liu
- Department of Sports Medicine Center, State Key Laboratory of Trauma, Burn and Combined Injury, the First Affiliated Hospital of the Army Military Medical University, Chongqing, 400038, People's Republic of China
| | - Hao-Yang Wang
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, People's Republic of China
| | - Wei-Nan Zeng
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, People's Republic of China
| | - Duan Wang
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, People's Republic of China.
| | - Zong-Ke Zhou
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, #37 Guoxue Road, Chengdu, 610041, People's Republic of China.
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Khiatah B, Gajjar P, Sous A, Syriani LA, Kim C, Razook W, Diaz G, Carlson D. Assessing the influence of COVID-19 pandemic on thirty days readmission rate based on patient's demographics, substance use, and insurance. Ann Med 2024; 56:2399752. [PMID: 39492689 PMCID: PMC11616754 DOI: 10.1080/07853890.2024.2399752] [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: 11/01/2023] [Revised: 03/07/2024] [Accepted: 06/27/2024] [Indexed: 11/05/2024] Open
Abstract
Providing the highest quality care with no biases is the goal of every healthcare system. As a part of that goal hospital readmission has been investigated due to its impact on healthcare cost and case fatality rate in patient outcome. Patient's demographics, substance use and insurance barriers have been investigated as factors for readmission rate but the impact of COVID-19 pandemic on those biases and barriers have not been studied extensively yet. In our retrospective cross-sectional study, we placed the scope on readmission rate with the intention to investigate any relation with patient's demographics including ethnicity, gender, language, substance use and insurance barriers and if there has been any change in the area pre and post COVID-19 pandemic. Total of 1713 readmitted patients were identified and split into 893 pre-COVID-19 and 820 post COVID-19 pandemic. Our multivariable analysis showed that the rate of readmissions during the COVID-19 pandemic was statistically higher among substance users (p = 0.003) and Medicaid insured (p = 0.038), and less likely among Spanish speakers p = 0.003. This study is limited due to small sample size and does not accurately represent the full population of the United States. Our hope is to further investigate the impact of COVID-19 pandemic on the readmission rate and to identify any influencing factors, biases, and barriers that contributed to the increased rate of readmission to learn and avoid future readmissions during straining times in medicine such as during COVID-19 pandemic.
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Affiliation(s)
- Bashar Khiatah
- Internal Medicine Department, Overlake Medical Center, Bellevue, WA, USA
| | - Pooja Gajjar
- Internal Medicine Department, Loma Linda University, Loma Linda, CA, USA
| | - Andrew Sous
- Internal Medicine Department, Community Memorial Hospital, Ventura, CA, USA
| | - Lara Aboud Syriani
- Obstetrics and Gynecology Department, University of Loma Linda, Loma Linda, CA, USA
| | - Cindy Kim
- Department of Medicine, Saint Elizabeth Medical Center, Brighton, MA, USA
| | - Wisam Razook
- Department of internal medicine, University of Arizona, Tucson, AZ, USA
| | - Graal Diaz
- Program Director of Internal Medicine Department, Community Memorial Hospital, Ventura, CA, USA
| | - Deborah Carlson
- Clinical Translational Researcher and Faculty, Graduate Medical Education, Community Memorial Hospital, Ventura, CA, USA
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Li RD, Joung RHS, Chung JW, Holl J, Bilimoria KY, Merkow RP. Divergent Trends in Postoperative Length of Stay and Postdischarge Complications over Time. Jt Comm J Qual Patient Saf 2024; 50:630-637. [PMID: 38853106 DOI: 10.1016/j.jcjq.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/08/2024] [Accepted: 05/08/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND There is a push toward shorter length of stay (LOS) after surgery by hospitals, payers, and policymakers. However, the extent to which these changes have shifted the occurrence of complications to the postdischarge setting is unknown. The objectives of this study were to (1) evaluate changes in LOS and postdischarge complications over time and (2) assess factors associated with postdischarge complications. STUDY DESIGN Patients who underwent surgery across five specialties (colorectal, esophageal, hepatopancreatobiliary [HPB], gynecology, and urology) were identified from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) procedure-targeted database (2014-2019). Trends in the proportion of postdischarge complications within 30 days of surgery and predictors of postdischarge complications were assessed using multivariable logistic regression. RESULTS Among 538,172 patients evaluated, median LOS decreased from 3 (2014) to 2 days (2019) (p < 0.001). Overall, 12.2% of patients experienced a 30-day complication, with 50.4% occurring postdischarge. with the highest in hysterectomy (80.9%), prostatectomy (74.6%), and cystectomy (54.6%). The overall postoperative complication decreased, but the proportion of postdischarge complications increased from 44.6% (2014) to 56.4% (2019) (p < 0.001), including surgical site infection (superficial/deep/organ space/wound dehiscence), other infection (pneumonia/urinary tract infection/sepsis), cardiovascular (myocardial infarction/cardiac arrest/stroke), and venous thromboembolism. Factors associated with an increased odds of postdischarge complications included Hispanic or other race, higher American Society of Anesthesiologists class, dependent functional status, increased body mass index, higher wound class, inpatient complication, longer operation, and procedure type (HPB/colorectal/hysterectomy/esophagectomy, vs. prostatectomy) (all p < 0.001). CONCLUSION This comprehensive retrospective analysis across five representative surgical specialties highlighted that although LOS has decreased over time, the proportion of postdischarge complications has increased over time. Focusing on the development of a comprehensive, proactive, postdischarge monitoring system to better identify and manage postdischarge complications is necessary.
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Moreno T, Ehwerhemuepha L, Devin J, Feaster W, Mikhael M. Birth Weight and Gestational Age as Modifiers of Rehospitalization after Neonatal Intensive Care Unit Admission. Am J Perinatol 2024; 41:e1668-e1674. [PMID: 36958343 PMCID: PMC11136569 DOI: 10.1055/a-2061-0059] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 03/08/2023] [Indexed: 03/25/2023]
Abstract
OBJECTIVE This study aimed to assess interaction effects between gestational age and birth weight on 30-day unplanned hospital readmission following discharge from the neonatal intensive care unit (NICU). STUDY DESIGN This is a retrospective study that uses the study site's Children's Hospitals Neonatal Database and electronic health records. Population included patients discharged from a NICU between January 2017 and March 2020. Variables encompassing demographics, gestational age, birth weight, medications, maternal data, and surgical procedures were controlled for. A statistical interaction between gestational age and birth weight was tested for statistical significance. RESULTS A total of 2,307 neonates were included, with 7.2% readmitted within 30 days of discharge. Statistical interaction between birth weight and gestational age was statistically significant, indicating that the odds of readmission among low birthweight premature patients increase with increasing gestational age, whereas decrease with increasing gestational age among their normal or high birth weight peers. CONCLUSION The effect of gestational age on odds of hospital readmission is dependent on birth weight. KEY POINTS · Population included patients discharged from a NICU between January 2017 and March 2020.. · A total of 2,307 neonates were included, with 7.2% readmitted within 30 days of discharge.. · The effect of gestational age on odds of hospital readmission is dependent on birth weight..
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Affiliation(s)
- Tatiana Moreno
- Children's Hospital of Orange County, Orange, California
| | | | - Joan Devin
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | - Michel Mikhael
- Children's Hospital of Orange County, Orange, California
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Wang Y, Leo-Summers L, Vander Wyk B, Davis-Plourde K, Gill TM, Becher RD. National Estimates of Short- and Longer-Term Hospital Readmissions After Major Surgery Among Community-Living Older Adults. JAMA Netw Open 2024; 7:e240028. [PMID: 38416499 PMCID: PMC10902728 DOI: 10.1001/jamanetworkopen.2024.0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/30/2023] [Indexed: 02/29/2024] Open
Abstract
Importance Nationally representative estimates of hospital readmissions within 30 and 180 days after major surgery, including both fee-for-service and Medicare Advantage beneficiaries, are lacking. Objectives To provide population-based estimates of hospital readmission within 30 and 180 days after major surgery in community-living older US residents and examine whether these estimates differ according to key demographic, surgical, and geriatric characteristics. Design, Setting, and Participants A prospective longitudinal cohort study of National Health and Aging Trends Study data (calendar years 2011-2018), linked to records from the Centers for Medicare & Medicaid Services (CMS). Data analysis was conducted from April to August 2023. Participants included community-living US residents of the contiguous US aged 65 years or older who had at least 1 major surgery from 2011 to 2018. Data analysis was conducted from April 10 to August 28, 2023. Main Outcomes and Measures Major operations and hospital readmissions within 30 and 180 days were identified through data linkages with CMS files that included both fee-for-service and Medicare Advantage beneficiaries. Data on frailty and dementia were obtained from the annual National Health and Aging Trends Study assessments. Results A total of 1780 major operations (representing 9 556 171 survey-weighted operations nationally) were identified from 1477 community-living participants; mean (SD) age was 79.5 (7.0) years, with 56% being female. The weighted rates of hospital readmission were 11.6% (95% CI, 9.8%-13.6%) for 30 days and 27.6% (95% CI, 24.7%-30.7%) for 180 days. The highest readmission rates within 180 days were observed among participants aged 90 years or older (36.8%; 95% CI, 28.3%-46.3%), those undergoing vascular surgery (45.8%; 95% CI, 37.7%-54.1%), and persons with frailty (36.9%; 95% CI, 30.8%-43.5%) or probable dementia (39.0%; 95% CI, 30.7%-48.1%). In age- and sex-adjusted models with death as a competing risk, the hazard ratios for hospital readmission within 180 days were 2.29 (95% CI, 1.70-3.09) for frailty and 1.58 (95% CI, 1.15-2.18) for probable dementia. Conclusions and Relevance In this nationally representative cohort study of community-living older US residents, the likelihood of hospital readmissions within 180 days after major surgery was increased among older persons who were frail or had probable dementia, highlighting the potential value of these geriatric conditions in identifying those at increased risk.
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Affiliation(s)
- Yi Wang
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Linda Leo-Summers
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Brent Vander Wyk
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Kendra Davis-Plourde
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Thomas M. Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Robert D. Becher
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
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Engels A, Konnopka C, Henken E, Härter M, König HH. A flexible approach to measure care coordination based on patient-sharing networks. BMC Med Res Methodol 2024; 24:1. [PMID: 38172777 PMCID: PMC10762822 DOI: 10.1186/s12874-023-02106-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/16/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Effective care coordination may increase clinical efficiency, but its measurement remains difficult. The established metric "care density" (CD) measures care coordination based on patient-sharing among physicians, but it may be too rigid to generalize across disorders and countries. Therefore, we propose an extension called fragmented care density (FCD), which allows varying weights for connections between different types of providers. We compare both metrics in their ability to predict hospitalizations due to schizophrenia. METHODS We conducted a longitudinal cohort study based on German claims data from 2014 through 2017 to predict quarterly hospital admissions. 21,016 patients with schizophrenia from the federal state Baden-Württemberg were included. CD and FCD were calculated based on patient-sharing networks. The weights of FCD were optimized to predict hospital admissions during the first year of a 24-month follow-up. Subsequently, we employed likelihood ratio tests to assess whether adding either CD or FCD improved a baseline model with control variables for the second follow-up year. RESULTS The inclusion of FCD significantly improved the baseline model, Χ2(1) = 53.30, p < 0.001. We found that patients with lower percentiles in FCD had an up to 21% lower hospitalization risk than those with median or higher values, whereas CD did not affect the risk. CONCLUSIONS FCD is an adaptive metric that can weight provider relationships based on their relevance for predicting any outcome. We used it to better understand which medical specialties need to be involved to reduce hospitalization risk for patients with schizophrenia. As FCD can be modified for different health conditions and systems, it is broadly applicable and might help to identify barriers and promoting factors for effective collaboration.
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Affiliation(s)
- Alexander Engels
- Department of Health Economics and Health Services Research, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Claudia Konnopka
- Department of Health Economics and Health Services Research, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Espen Henken
- Department of Health Economics and Health Services Research, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martin Härter
- Department of Medical Psychology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Ni J, Lin Z, Wu Q, Wu G, Chen C, Pan B, Zhao B, Han H, Wang Q. Discharge Against Medical Advice After Hospitalization for Sepsis: Predictors, 30-Day Readmissions, and Outcomes. J Emerg Med 2023; 65:e383-e392. [PMID: 37741736 DOI: 10.1016/j.jemermed.2023.05.014] [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: 12/14/2022] [Revised: 04/19/2023] [Accepted: 05/26/2023] [Indexed: 09/25/2023]
Abstract
BACKGROUND Sepsis is a leading cause of death worldwide. However, little has been known concerning the status of discharge against medical advice (DAMA) in sepsis patients. OBJECTIVE To identify factors associated with DAMA, evaluate the association of DAMA with 30-day unplanned readmission and readmitted outcomes after sepsis hospitalization. METHODS Using the National Readmission Database, we identified sepsis patients who discharged routinely or DAMA in 2017. Multivariable models were used to identify factors related to DAMA, evaluate the association between DAMA and readmission, and elucidate the relationship between DAMA and outcomes in patients readmitted within 30 days. RESULTS Among 1,012,650 sepsis cases, patients with DAMA accounted for 3.88% (n = 39,308). The unplanned 30-day readmission rates in patients who discharged home and DAMA were 13.08% and 27.21%, respectively. Predictors of DAMA in sepsis included Medicaid, diabetes, smoking, drug abuse, alcohol abuse, and psychoses. DAMA was statistically significantly associated with 30-day (odds ratio [OR] 2.18, 95% confidence interval [CI] 2.09-2.28), 60-day (OR 1.98, 95% CI 1.90-2.06), and 90-day (OR 1.88, 95% CI 1.81-1.96) readmission. DAMA is also associated with higher mortality in patients readmitted within 30 days (OR 1.38, 95% CI 1.17-1.63), whereas there were no statistically significant differences in length of stay and costs between patients who discharged home or DAMA. CONCLUSIONS DAMA occurs in nearly 3.88% of sepsis patients and is linked to higher readmission and mortality. Those at high risk of DAMA should be early identified to motivate intervention to avoid premature discharges and associated adverse outcomes.
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Affiliation(s)
- Juan Ni
- Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Zhen Lin
- Department of Health Statistics, Second Military Medical University, Shanghai, China; Department of Disease Control and Prevention, Xiamen University Affiliated to Chenggong Hospital, Fujian, China
| | - Qiqi Wu
- Department of Endocrinology, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Guannan Wu
- Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Chen Chen
- Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Binhai Pan
- Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Beilei Zhao
- Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Hedong Han
- Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; Department of Health Statistics, Second Military Medical University, Shanghai, China
| | - Qin Wang
- Department of Respiratory and Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
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Kanemo P, Musa KM, Deenadayalan V, Litvin R, Odeyemi OE, Shaka A, Baskaran N, Shaka H. Readmission rates and outcomes in adults with and without COVID-19 following inpatient chemotherapy admission: A nationwide analysis. World J Clin Oncol 2023; 14:311-323. [PMID: 37700808 PMCID: PMC10494557 DOI: 10.5306/wjco.v14.i8.311] [Citation(s) in RCA: 1] [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: 05/07/2023] [Revised: 07/12/2023] [Accepted: 08/08/2023] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has received considerable attention in the scientific community due to its impact on healthcare systems and various diseases. However, little focus has been given to its effect on cancer treatment. AIM To determine the effect of COVID-19 pandemic on cancer patients' care. METHODS A retrospective review of a Nationwide Readmission Database (NRD) was conducted to analyze hospitalization patterns of patients receiving inpatient chemotherapy (IPCT) during the COVID-19 pandemic in 2020. Two cohorts were defined based on readmission within 30 d and 90 d. Demographic information, readmission rates, hospital-specific variables, length of hospital stay (LOS), and treatment costs were analyzed. Comorbidities were assessed using the Elixhauser comorbidity index. Multivariate Cox regression analysis was performed to identify independent predictors of readmission. Statistical analysis was conducted using Stata® Version 16 software. As the NRD data is anonymous and cannot be used to identify patients, institutional review board approval was not required for this study. RESULTS A total of 87755 hospitalizations for IPCT were identified during the pandemic. Among the 30-day index admission cohort, 55005 patients were included, with 32903 readmissions observed, resulting in a readmission rate of 59.8%. For the 90-day index admission cohort, 33142 patients were included, with 24503 readmissions observed, leading to a readmission rate of 73.93%. The most common causes of readmission included encounters with chemotherapy (66.7%), neutropenia (4.36%), and sepsis (3.3%). Comorbidities were significantly higher among readmitted hospitalizations compared to index hospitalizations in both readmission cohorts. The total cost of readmission for both cohorts amounted to 1193000000.00 dollars. Major predictors of 30-day readmission included peripheral vascular disorders [Hazard ratio (HR) = 1.09, P < 0.05], paralysis (HR = 1.26, P < 0.001), and human immunodeficiency virus/acquired immuno-deficiency syndrome (HR = 1.14, P = 0.03). Predictors of 90-day readmission included lymphoma (HR = 1.14, P < 0.01), paralysis (HR = 1.21, P = 0.02), and peripheral vascular disorders (HR = 1.15, P < 0.01). CONCLUSION The COVID-19 pandemic has significantly impacted the management of patients undergoing IPCT. These findings highlight the urgent need for a more strategic approach to the care of patients receiving IPCT during pandemics.
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Affiliation(s)
- Philip Kanemo
- Department of Internal Medicine, Rapides Regional Medical Center, Alexandria, LA 71301, United States
| | - Keffi Mubarak Musa
- Department of Medicine, Ahmadu Bello University Teaching Hospital, Zaria 88445, Kaduna, Nigeria
| | - Vaishali Deenadayalan
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL 60623, United States
| | - Rafaella Litvin
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL 60623, United States
| | - Olubunmi Emmanuel Odeyemi
- Department of Internal Medicine, Ladoke Akintola University Teaching Hospital, Ogbomoso 210101, Oyo, Nigeria
| | - Abdultawab Shaka
- Department of Medicine, Windsor University School of Medicine, St. Kitts, Frankfort, IL 60423, United States
| | - Naveen Baskaran
- Department of Medicine, University of Florida, Gainesville, FL 32610, United States
| | - Hafeez Shaka
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL 60623, United States
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Wang Y, He R, Dong F, Liu D, Ren X, Yang T, Wang C. Re-exacerbation within 30 days of discharge is associated with poor prognosis in the following year among patients hospitalised with exacerbation of chronic obstructive pulmonary disease: a clinical cohort study. BMJ Open Respir Res 2023; 10:e001759. [PMID: 37640511 PMCID: PMC10462968 DOI: 10.1136/bmjresp-2023-001759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 08/04/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Exacerbation of chronic obstructive pulmonary disease (ECOPD) is a complex phenomenon, with marked heterogeneity in the aetiology, pathophysiology and clinical manifestations. This study aimed to evaluate the clinical characteristics and long-term outcomes of patients with 30-day exacerbation among those hospitalised with ECOPD in China. METHODS Data from the Acute Exacerbations of Chronic Obstructive Pulmonary Disease Inpatient Registry were used in this study. The patients were divided into re-event and non-event groups based on the incidence of re-exacerbation within 30 days of discharge. Exacerbation, severe exacerbation and all-cause readmissions in the following 12 months were the outcomes of interest. The cumulative incidence rates and incidence densities were calculated. Multivariate hazard function models were used to determine the association between 30-day re-exacerbation and the long-term outcomes after accounting for the competing risk of death. RESULTS Re-exacerbation within 30 days of discharge was observed in 4.9% (n=242) of the patients (n=4963). The cumulative incidence rates and incidence densities of exacerbation, severe exacerbation and all-cause readmissions in the event group were significantly higher than those in the non-event group. After adjustment, re-exacerbation within 30 days of discharge was associated with increased risks of exacerbation, severe exacerbation and all-cause readmissions in the following 12 months (adjusted HR: 3.85 (95% CI: 3.09 to 4.80), 3.46 (2.66 to 4.50) and 3.28 (2.52 to 4.25) accordingly). CONCLUSION Re-exacerbation of COPD within 30 days of discharge is a significant predictor of long-term prognosis. In clinical practice, short-term re-exacerbation is a significant clinical phenotype of ECOPD that requires careful management at the earliest.
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Affiliation(s)
- Ye Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ruoxi He
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
| | - Fen Dong
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Dongyan Liu
- School of Medicine, Tsinghua University, Beijing, China
| | - Xiaoxia Ren
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Ting Yang
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Chen Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
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10
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Walsh A, Russell AG, Weaver AM, Moyer J, Wyatt L, Ward-Caviness CK. Associations between source-apportioned PM 2.5 and 30-day readmissions in heart failure patients. ENVIRONMENTAL RESEARCH 2023; 228:115839. [PMID: 37024035 PMCID: PMC10273144 DOI: 10.1016/j.envres.2023.115839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Air pollution exposure is a significant risk factor for morbidity and mortality, especially for those with pre-existing chronic disease. Previous studies highlighted the risks that long-term particulate matter exposure has for readmissions. However, few studies have evaluated source and component specific associations particularly among vulnerable patient populations. OBJECTIVES Use electronic health records from 5556 heart failure (HF) patients diagnosed between July 5, 2004 and December 31, 2010 that were part of the EPA CARES resource in conjunction with modeled source-specific fine particulate matter (PM2.5) to estimate the association between exposure to source and component apportioned PM2.5 at the time of HF diagnosis and 30-day readmissions. METHODS We used zero-inflated mixed effects Poisson models with a random intercept for zip code to model associations while adjusting for age at diagnosis, year of diagnosis, race, sex, smoking status, and neighborhood socioeconomic status. We undertook several sensitivity analyses to explore the impact of geocoding precision and other factors on associations and expressed associations per interquartile range increase in exposures. RESULTS We observed associations between 30-day readmissions and an interquartile range increase in gasoline- (16.9% increase; 95% confidence interval = 4.8%, 30.4%) and diesel-derived PM2.5 (9.9% increase; 95% confidence interval = 1.7%, 18.7%), and the secondary organic carbon component of PM2.5 (SOC; 20.4% increase; 95% confidence interval = 8.3%, 33.9%). Associations were stable in sensitivity analyses, and most consistently observed among Black study participants, those in lower income areas, and those diagnosed with HF at an earlier age. Concentration-response curves indicated a linear association for diesel and SOC. While there was some non-linearity in the gasoline concentration-response curve, only the linear component was associated with 30-day readmissions. DISCUSSION There appear to be source specific associations between PM2.5 and 30-day readmissions particularly for traffic-related sources, potentially indicating unique toxicity of some sources for readmission risks that should be further explored.
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Affiliation(s)
- Aleah Walsh
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA; Oak Ridge Associated Universities, Oak Ridge, TN, USA
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Anne M Weaver
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Joshua Moyer
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Lauren Wyatt
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA.
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11
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Mpody C, Kemper AR, Aldrink JH, Michalsky MP, Tobias JD, Nafiu OO. Trends and Economic Implications of Disparities in Postoperative Pneumonia. Pediatrics 2023; 151:e2022058774. [PMID: 37057490 DOI: 10.1542/peds.2022-058774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/02/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Postoperative pneumonia is the third most common surgical complication and can seriously impair surgical rehabilitation and lead to related morbidity and mortality. We evaluated the temporal trends in racial and ethnic disparities in postoperative pneumonia and quantified the economic burden resulting from these inequalities in the United States. METHODS This population-based study includes 195 028 children (weighted to 964 679) admitted for elective surgery across 5340 US hospitals reporting to the Nationwide Inpatient Sample between 2010 and 2018. We estimated the risk-adjusted incidence of postoperative pneumonia, comparing racial and ethnic groups. We also quantified the inflation-adjusted hospital costs attributable to racial and ethnic disparities in postoperative pneumonia. RESULTS The risk-adjusted rates of pneumonia declined across all racial and ethnic categories, with Black children having the lowest annual rate of decline (Black: 0.03 percentage points, Hispanic: 0.05 percentage points, white: 0.05 percentage points). The risk-adjusted rates of pneumonia trended consistently higher for Black and Hispanic children, relative to white children, throughout the study period (Black versus white: relative risk, 1.31 (95% confidence interval, 1.14-1.51), P < .01; Hispanic versus white: relative risk, 1.16 (95% confidence interval, 1.02-1.32), P = .02). These disparities did not narrow significantly over time. During the study period, the excess hospitalization cost attributable to racial and ethnic disparities in postoperative pneumonia was $24 533 458 for Black children and $26 200 783 for Hispanic children (total, $50 734 241). CONCLUSIONS Against the backdrop of decreasing postoperative pneumonia, Black and Hispanic children continue to experience higher rates compared with white children. These persistent disparities in postoperative pneumonia were associated with considerable excess cost of surgical care.
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Affiliation(s)
- Christian Mpody
- Departments of Anesthesiology and Pain Medicine
- Ohio State University College of Medicine, Columbus, Ohio
| | - Alex R Kemper
- Division of Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio
- Ohio State University College of Medicine, Columbus, Ohio
| | - Jennifer H Aldrink
- General Pediatric Surgery
- Ohio State University College of Medicine, Columbus, Ohio
| | - Marc P Michalsky
- General Pediatric Surgery
- Ohio State University College of Medicine, Columbus, Ohio
| | - Joseph D Tobias
- Departments of Anesthesiology and Pain Medicine
- Ohio State University College of Medicine, Columbus, Ohio
| | - Olubukola O Nafiu
- Departments of Anesthesiology and Pain Medicine
- Ohio State University College of Medicine, Columbus, Ohio
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12
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Rubin DJ, Maliakkal N, Zhao H, Miller EE. Hospital Readmission Risk and Risk Factors of People with a Primary or Secondary Discharge Diagnosis of Diabetes. J Clin Med 2023; 12:jcm12041274. [PMID: 36835810 PMCID: PMC9961750 DOI: 10.3390/jcm12041274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/29/2022] [Accepted: 01/30/2023] [Indexed: 02/09/2023] Open
Abstract
Hospital readmission among people with diabetes is common and costly. A better understanding of the differences between people requiring hospitalization primarily for diabetes (primary discharge diagnosis, 1°DCDx) or another condition (secondary discharge diagnosis, 2°DCDx) may translate into more effective ways to prevent readmissions. This retrospective cohort study compared readmission risk and risk factors between 8054 hospitalized adults with a 1°DCDx or 2°DCDx. The primary outcome was all-cause hospital readmission within 30 days of discharge. The readmission rate was higher in patients with a 1°DCDx than in patients with a 2°DCDx (22.2% vs. 16.2%, p < 0.01). Several independent risk factors for readmission were common to both groups including outpatient follow up, length of stay, employment status, anemia, and lack of insurance. C-statistics for the multivariable models of readmission were not significantly different (0.837 vs. 0.822, p = 0.15). Readmission risk of people with a 1°DCDx was higher than that of people with a 2°DCDx of diabetes. Some risk factors were shared between the two groups, while others were unique. Inpatient diabetes consultation may be more effective at lowering readmission risk among people with a 1°DCDx. These models may perform well to predict readmission risk.
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Affiliation(s)
- Daniel J. Rubin
- Section of Endocrinology, Diabetes, and Metabolism, Lewis Katz School of Medicine, Temple University, 3322 N. Broad Street, Suite 205, Philadelphia, PA 19140, USA
- Correspondence: ; Tel.: +1-215-707-4746; Fax: +1-215-707-5599
| | - Naveen Maliakkal
- Department of Medicine, Temple University Hospital, Philadelphia, PA 19140, USA
| | - Huaqing Zhao
- Department of Biomedical Education and Data Science, Lewis Katz School of Medicine, Temple University, 3322 N. Broad Street, Suite 205, Philadelphia, PA 19140, USA
| | - Eli E. Miller
- Section of Endocrinology, Diabetes, and Metabolism, Lewis Katz School of Medicine, Temple University, 3322 N. Broad Street, Suite 205, Philadelphia, PA 19140, USA
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13
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Li RD, Chia MC, Eskandari MK. Comprehensive Evaluation of Common Open and Endovascular Procedures and Their Relationship with Postdischarge Complications. Ann Vasc Surg 2023; 88:127-138. [PMID: 35803464 PMCID: PMC9969701 DOI: 10.1016/j.avsg.2022.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/20/2022] [Accepted: 06/20/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Percutaneous endovascular treatment for arterial vascular diseases has revolutionized vascular care. While these procedures offer improved morbidity, mortality, and length of stay (LOS), their effect on postdischarge complications is unknown. The objectives of the study were to evaluate trends in LOS and postdischarge complications over time and to assess factors associated with postdischarge complications. METHODS Patients who underwent surgery for common vascular pathologies (abdominal aortic aneurysm, aortoiliac occlusive disease, lower extremity disease, and carotid stenosis) were identified from the American College of Surgeons National Surgical Quality Improvement Program procedure-targeted database (2014-2019). Outcomes included LOS, 30-day complications, and proportions of postdischarge complications. Predictors of postdischarge complications were assessed using a multivariable logistic regression. RESULTS Of 80,311 patients evaluated, median LOS did not change from 2014 to 2019 (2, interquartile range 1-5). Overall, 15.7% of patients experienced any 30-day complication, with 31.3% occurring after discharge. The proportion of postdischarge complications increased from 29.1% (2014) to 35.9% (2019), P < 0.001. With exception of carotid procedures, endovascular procedures had lower overall complication rates than open procedures; however, there was an increased proportion of postdischarge complications for endovascular procedures (all P < 0.001). Factors associated with an increased odds of postdischarge complications included female, Black or other race, dependent functional status, underweight or obesity, increased LOS, and procedural time, all P < 0.05. CONCLUSIONS Across 4 representative common vascular pathologies, endovascular treatments had a higher proportion of postdischarge complications compared to open procedures. Early identification and evaluation of postdischarge complications for endovascular patients may be warranted to avoid unplanned readmission.
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Affiliation(s)
- Ruojia Debbie Li
- Department of Surgery, Division of Vascular Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL; Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, Chicago, IL
| | - Matthew C Chia
- Department of Surgery, Division of Vascular Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL; Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, Chicago, IL
| | - Mark K Eskandari
- Department of Surgery, Division of Vascular Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL.
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14
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Kwei-Nsoro R, Ojemolon P, Laswi H, Ebhohon E, Shaka A, Mir WA, Siddiqui AH, Philipose J, Shaka H. Rates, Reasons, and Independent Predictors of Readmissions in Portal Venous Thrombosis Hospitalizations in the USA. Gastroenterology Res 2022; 15:253-262. [PMID: 36407807 PMCID: PMC9635786 DOI: 10.14740/gr1561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/09/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Portal vein thrombosis (PVT), generally considered rare, is becoming increasingly recognized with advanced imaging. Limited data exist regarding readmissions in PVT and its burden on the overall healthcare cost. This study aimed to outline the burden of PVT readmissions and identify the modifiable predictors of readmissions. METHODS The National Readmission Database (NRD) was used to identify PVT admissions from 2016 to 2019. Using the patient demographic and hospital-specific variables within the NRD, we grouped patient encounters into two cohorts, 30- and 90-day readmission cohorts. We assessed comorbidities using the validated Elixhauser comorbidity index. We obtained inpatient mortality rates, mean length of hospital stay (LOS), total hospital cost (THC), and causes of readmissions in both 30- and 90-day readmission cohorts. Using a multivariate Cox regression analysis, we identified the independent predictors of 30-day readmissions. RESULTS We identified 17,971 unique index hospitalizations, of which 2,971 (16.5%) were readmitted within 30 days. The top five causes of readmissions in both 30-day and 90-day readmission cohorts were PVT, sepsis, hepatocellular cancer, liver failure, and alcoholic liver cirrhosis. The following independent predictors of 30-day readmission were identified: discharge against medical advice (AMA) (adjusted hazard ratio (aHR) 1.86; P = 0.002); renal failure (aHR 1.44, P = 0.014), metastatic cancer (aHR 1.31, P = 0.016), fluid and electrolyte disorders (aHR 1.20, P = 0.004), diabetes mellitus (aHR 1.31, P = 0.001) and alcohol abuse (aHR 1.31, P ≤ 0.001). CONCLUSION The readmission rate identified in this study was higher than the national average and targeted interventions addressing these factors may help reduce the overall health care costs.
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Affiliation(s)
- Robert Kwei-Nsoro
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA,Corresponding Author: Robert Kwei-Nsoro, Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL 60612, USA.
| | - Pius Ojemolon
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - Hisham Laswi
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - Ebehiwele Ebhohon
- Department of Internal Medicine, Lincoln Medical Center, Bronx, NY, USA
| | - Abdultawab Shaka
- Department of Medicine, Windsor University School of Medicine, St. Kitts
| | - Wasey Ali Mir
- Department of Pulmonary and Critical Care, St. Elizabeth Medical Center, Brighton, MA, USA
| | | | - Jobin Philipose
- Department of Digestive Health, Mountain View Regional Medical Center, Las Cruces, NM, USA
| | - Hafeez Shaka
- Division of General Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
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15
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Li RD, Joung RHS, Brajcich BC, Schlick CJR, Yang AD, McGee MF, Bentrem D, Bilimoria KY, Merkow RP. Comprehensive Evaluation of the Trends in Length of Stay and Post-discharge Complications After Colon Surgery in the USA. J Gastrointest Surg 2022; 26:2184-2192. [PMID: 35819663 DOI: 10.1007/s11605-022-05391-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/16/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION With widespread adoption of enhanced recovery protocols and a push toward shorter length of stay (LOS) following colon surgery, the extent to which complications have shifted to the post-discharge setting is unknown. The objectives of this study were to (1) characterize changes in LOS and post-discharge complications over time and (2) evaluate risk factors associated with post-discharge complications. METHODS Patients who underwent elective colon resection from 2012 to 2018 were identified from the ACS NSQIP Colectomy-Targeted Dataset. Changes in LOS and the proportion of post-discharge complications were evaluated over time, and predictors of post-discharge complications were assessed using multivariable logistic regression. RESULTS Of the 98,136 patients who underwent colon resection, median LOS decreased from 5 days in 2012 to 4 days in 2018. Overall, 30-day complication rate was 21.5%, which decreased during the study period (25.8 to 19.1%, p < 0.001). Of the 13 individual complications evaluated, 4 demonstrated a significant increase in the proportion of post-discharge events including overall SSI (55.8 to 63.3%, p = 0.002), superficial SSI (57.3 to 75.7%, p < 0.001), wound disruption (46.0 to 62.1%, p = 0.047), and UTI (41.5 to 62.7%, p < 0.001). Factors associated with the development of any post-discharge complication included female sex, ASA III/IV/V, dependent functional status, and higher BMI. Intraoperative factors included wound class, operation time, and approach. CONCLUSIONS Although LOS and 30-day complications decreased over time, the proportion of events occurring post-discharge increased for several complications. We identified specific factors associated with post-discharge complications which emphasize the importance of a patient monitoring program to early identify and manage post-discharge complications.
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Affiliation(s)
- Ruojia Debbie Li
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA
| | - Rachel Hae-Soo Joung
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA.,Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brian C Brajcich
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA.,Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Cary Jo R Schlick
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA.,Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Anthony D Yang
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA.,Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael F McGee
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David Bentrem
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA.,Surgery Service, Jesse Brown VA Medical Center, Chicago, IL, USA
| | - Karl Y Bilimoria
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA.,Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ryan P Merkow
- Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Northwestern Medicine, 633 N St Clair St 20th Floor, Chicago, IL, 60611, USA. .,Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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16
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Lin Z, Ni J, Xu J, Wu Q, Cao Y, Qin Y, Wu C, Wei X, Wu H, Han H, He J. Worse Outcomes After Readmission to a Different Hospital After Sepsis: A Nationwide Cohort Study. J Emerg Med 2022; 63:569-581. [DOI: 10.1016/j.jemermed.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 06/22/2022] [Accepted: 07/09/2022] [Indexed: 12/05/2022]
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Treffalls JA, Sylvester CB, Parikh U, Zea-Vera R, Ryan CT, Zhang Q, Rosengart TK, Wall MJ, Coselli JS, Chatterjee S, Ghanta RK. Nationwide database analysis of one-year readmission rates after open surgical or thoracic endovascular repair of Stanford Type B aortic dissection. JTCVS OPEN 2022; 11:1-13. [PMID: 36172436 PMCID: PMC9510909 DOI: 10.1016/j.xjon.2022.07.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 06/15/2022] [Accepted: 06/28/2022] [Indexed: 06/16/2023]
Abstract
Objective We examined readmissions and resource use during the first postoperative year in patients who underwent thoracic endovascular aortic repair or open surgical repair of Stanford type B aortic dissection. Methods The Nationwide Readmissions Database (2016-2018) was queried for patients with type B aortic dissection who underwent thoracic endovascular aortic repair or open surgical repair. The primary outcome was readmission during the first postoperative year. Secondary outcomes included 30-day and 90-day readmission rates, in-hospital mortality, length of stay, and cost. A Cox proportional hazards model was used to determine risk factors for readmission. Results During the study period, type B aortic dissection repair was performed in 6456 patients, of whom 3517 (54.5%) underwent thoracic endovascular aortic repair and 2939 (45.5%) underwent open surgical repair. Patients undergoing thoracic endovascular aortic repair were older (63 vs 59 years; P < .001) with fewer comorbidities (Elixhauser score of 11 vs 17; P < .001) than patients undergoing open surgical repair. Thoracic endovascular aortic repair was performed electively more often than open surgical repair (29% vs 20%; P < .001). In-hospital mortality was 9% overall and lower in the thoracic endovascular aortic repair cohort than in the open surgical repair cohort (5% vs 13%; P < .001). However, the 90-day readmission rate was comparable between the thoracic endovascular aortic repair and open surgical repair cohorts (28% vs 27%; P = .7). Freedom from readmission for up to 1 year was also similar between cohorts (P = .6). Independent predictors of 1-year readmission included length of stay more than 10 days (P = .005) and Elixhauser comorbidity risk index greater than 4 (P = .033). Conclusions Approximately one-third of all patients with type B aortic dissection were readmitted within 90 days after aortic intervention. Surprisingly, readmission during the first postoperative year was similar in the open surgical repair and thoracic endovascular aortic repair cohorts, despite marked differences in preoperative patient characteristics and interventions.
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Key Words
- AHRQ, Agency for Healthcare Research and Quality
- CI, confidence interval
- HR, hazard ratio
- ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification
- IQR, interquartile range
- LOS, length of stay
- NRD, Nationwide Readmissions Database
- OSR, open surgical repair
- TBAD, type B aortic dissection
- TEVAR, thoracic endovascular aortic repair
- nationwide readmissions database
- readmissions
- thoracic endovascular aortic repair
- thoracoabdominal aortic dissection
- type B aortic dissection
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Affiliation(s)
- John A. Treffalls
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Tex
| | - Christopher B. Sylvester
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Bioengineering, Rice University, Houston, Tex
- Medical Scientist Training Program, Baylor College of Medicine, Houston, Tex
| | - Umang Parikh
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Rodrigo Zea-Vera
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Christopher T. Ryan
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Qianzi Zhang
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Todd K. Rosengart
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
| | - Matthew J. Wall
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Joseph S. Coselli
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
| | - Subhasis Chatterjee
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
| | - Ravi K. Ghanta
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
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Mahmoudi E, Wu W, Najarian C, Aikens J, Bynum J, Vydiswaran VV. Identify Caregiver Availability Using Medical Notes: Rule-Based Natural Language Processing. JMIR Aging 2022; 5:e40241. [PMID: 35998328 PMCID: PMC9539648 DOI: 10.2196/40241] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 07/28/2022] [Accepted: 08/16/2022] [Indexed: 11/23/2022] Open
Abstract
Background Identifying caregiver availability, particularly for patients with dementia or those with a disability, is critical to informing the appropriate care planning by the health systems, hospitals, and providers. This information is not readily available, and there is a paucity of pragmatic approaches to automatically identifying caregiver availability and type. Objective Our main objective was to use medical notes to assess caregiver availability and type for hospitalized patients with dementia. Our second objective was to identify whether the patient lived at home or resided at an institution. Methods In this retrospective cohort study, we used 2016-2019 telephone-encounter medical notes from a single institution to develop a rule-based natural language processing (NLP) algorithm to identify the patient’s caregiver availability and place of residence. Using note-level data, we compared the results of the NLP algorithm with human-conducted chart abstraction for both training (749/976, 77%) and test sets (227/976, 23%) for a total of 223 adults aged 65 years and older diagnosed with dementia. Our outcomes included determining whether the patients (1) reside at home or in an institution, (2) have a formal caregiver, and (3) have an informal caregiver. Results Test set results indicated that our NLP algorithm had high level of accuracy and reliability for identifying whether patients had an informal caregiver (F1=0.94, accuracy=0.95, sensitivity=0.97, and specificity=0.93), but was relatively less able to identify whether the patient lived at an institution (F1=0.64, accuracy=0.90, sensitivity=0.51, and specificity=0.98). The most common explanations for NLP misclassifications across all categories were (1) incomplete or misspelled facility names; (2) past, uncertain, or undecided status; (3) uncommon abbreviations; and (4) irregular use of templates. Conclusions This innovative work was the first to use medical notes to pragmatically determine caregiver availability. Our NLP algorithm identified whether hospitalized patients with dementia have a formal or informal caregiver and, to a lesser extent, whether they lived at home or in an institutional setting. There is merit in using NLP to identify caregivers. This study serves as a proof of concept. Future work can use other approaches and further identify caregivers and the extent of their availability.
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Affiliation(s)
- Elham Mahmoudi
- Department of Family Medicine, Medical School, University of Michigan, Institute for healthcare Policy and Innovation, University of Michigan, NCRC Building 14, Room G2342800 Plymouth Rd., Ann Arbor, US
| | - Wenbo Wu
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, US
| | - Cyrus Najarian
- University of Michigan Medical School, University of Michigan, Ann Arbor, US
| | - James Aikens
- Department of Family Medicine, Medical School, University of Michigan, Ann Arbor, US
| | - Julie Bynum
- Medical School, University of Michigan, Ann Arbor, US
| | - Vg Vinod Vydiswaran
- Department of Learning Health Sciences, Medical School, University of Michigan, Ann Arbor, US
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19
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Long H, Xie D, Li X, Jiang Q, Zhou Z, Wang H, Zeng C, Lei G. Incidence, patterns and risk factors for readmission following knee arthroplasty in China: A national retrospective cohort study. Int J Surg 2022; 104:106759. [PMID: 35811014 DOI: 10.1016/j.ijsu.2022.106759] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 06/17/2022] [Accepted: 06/27/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Limited data exist on readmission following knee arthroplasty (KA) in countries without well-established referral or extended care systems. This study aimed to investigate the incidence, patterns and risk factors for readmission following KA in China. MATERIAL AND METHODS In this national retrospective cohort study, we reviewed 167,265 primary KAs registered in the Hospital Quality Monitoring System in China between 2013 and 2018. Readmissions after KA within 30 and 90 days were evaluated. The causes for readmission were identified and classified as surgical or medical. The potential risk factors of readmission were assessed using multivariable logistic regression. RESULTS 4017 (2.4%) patients readmitted within 30 days, and 7258 (4.3%) patients readmitted within 90 days. The readmission rate exhibited a downward trend during the period from 2013 to 2018 (2.7%-2.3% for 30-day readmission; 4.5%-4.2% for 90-day readmission). Surgical causes contributed to 54.3% readmissions within 30 days and 47.3% readmissions within 90 days. Wound infection/complication, joint pain, and thromboembolism were the most frequently reported reasons for surgical readmission. Older age, male sex, single marital status, non-osteoarthritis indication, a high comorbidity index, non-provincial hospitals, low hospital volume, and longer length of stay were associated with an increased risk of readmission. The geographic regions of hospitals contributed greatly to the variety of readmissions. CONCLUSION The readmission rate following KA decreased from 2013 to 2018. Surgery-related causes, especially wound infection/complication and pain, accounted for a large proportion. Both patient and hospital factors were associated with readmissions. Improved primary care and targeted measures are needed to help further prevent readmissions and optimize resource utilization.
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Affiliation(s)
- Huizhong Long
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Dongxing Xie
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiaoxiao Li
- Hunan Key Laboratory of Joint Degeneration and Injury, Changsha, Hunan, China
| | - Qiao Jiang
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhiye Zhou
- China Standard Medical Information Research Center, Shenzhen, Guangdong, China
| | - Haibo Wang
- China Standard Medical Information Research Center, Shenzhen, Guangdong, China; Clinical Trial Unit, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Chao Zeng
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China; Hunan Key Laboratory of Joint Degeneration and Injury, Changsha, Hunan, China; Hunan Engineering Research Center for Osteoarthritis, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Guanghua Lei
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China; Hunan Key Laboratory of Joint Degeneration and Injury, Changsha, Hunan, China; Hunan Engineering Research Center for Osteoarthritis, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Fredman E, Kharouta M, Chen E, Gross A, Dorth J, Patel M, Padula G, Yao M. Dehydration Reduction in Head & Neck Cancer: DRIHNC trial: Daily oral fluid and electrolyte maintenance to prevent Acute Care Clinic and Emergency Department visits for patients receiving radiation for Head & Neck and esophageal cancer. Adv Radiat Oncol 2022; 7:101026. [DOI: 10.1016/j.adro.2022.101026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/06/2022] [Indexed: 10/31/2022] Open
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Fernández Bosch A, del Campo Giménez M, Hermida Lazcano I, Rodríguez Marín Y, Camarena Navarro L, Párraga Martínez I. Influencia de la pluripatología y comorbilidad en el ingreso hospitalario en una cohorte de pacientes de una unidad de continuidad asistencial Primaria-Interna. REVISTA CLÍNICA DE MEDICINA DE FAMILIA 2022. [DOI: 10.55783/150206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
Objetivo: estimar la frecuencia de pluripatología y comorbilidad en pacientes seguidos en una unidad de continuidad asistencial Primaria-Interna, así como conocer sus características clínicas y la relación entre pluripatología y comorbilidad con el ingreso hospitalario.
Diseño: estudio observacional retrospectivo de casos y controles.
Emplazamiento: Unidad de Continuidad Asistencial de Atención Primaria y Medicina Interna (UCAPI) del Complejo Hospitalario Universitario de Albacete.
Participantes: Se analizaron 1.591 pacientes atendidos en una unidad de continuidad asistencial Primaria-Interna (292 con algún ingreso hospitalario en el último año y 1.299 sin ingresos).
Mediciones principales: edad, sexo, problemas de salud, índice de Charlson, consumo de medicamentos y utilización de servicios sanitarios los 3 años previos.
Resultados: del total de la muestra, un 18,4% (IC 95%:16,4-20,3) eran casos con algún ingreso. Presentaba pluripatología un 23,3% (IC 95%: 21,1-25,4) y comorbilidad (índice de Charlson ≥ 2) un 32,6% (IC 95%: 30,2-34,9). Fueron variables asociadas de forma independiente a ingreso hospitalario la pluripatología (OR: 2,51; IC 95%: 1,64-3,83; p < 0,001), comorbilidad (índice de Charlson ≥ 2) (OR: 1,81; IC 95%:1,18-2,78; p = 0,006), tener más de tres problemas de salud (OR: 1,49; IC 95%: 1,07-2,07; p = 0,017), contar con mayor número de consultas de Atención Primaria (AP) (OR: 1,01; IC 95%: 1,00-1,02; p = 0,005), de hospital (1,03; IC 95%: 1,01-1,05), p < 0,001) y realizar más visitas a urgencias hospitalarias (OR: 1,12, IC 95%: 1,07-1,17).
Conclusiones: casi una cuarta parte de los pacientes seguidos en una unidad de continuidad asistencial entre Medicina interna y de Familia presenta pluripatología y un tercio, comorbilidad. La presencia de pluripatología y comorbilidad son características relacionadas con el ingreso hospitalario, junto con la mayor utilización de servicios sanitarios.
Palabras clave: multimorbilidad, comorbilidad, hospitalización, utilización de servicios de salud.
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Affiliation(s)
- Alba Fernández Bosch
- Especialista en Medicina Familiar y Comunitaria. CS Plaza Segovia. Gerencia de Atención Primaria Hospital Dr. Peset. Valencia (España)
| | - María del Campo Giménez
- Especialista en Medicina Familiar y Comunitaria. Consultorio de Ledaña. CS de Iniesta. Gerencia de Atención Integrada de Albacete. Albacete (España)
| | - Ignacio Hermida Lazcano
- Médica internista. Servicio de Medicina Interna. Unidad de Continuidad Asistencial Primaria-Interna (UCAPI). Gerencia de Atención Integrada de Albacete. Albacete (España)
| | - Yulema Rodríguez Marín
- Especialista en Medicina Interna. Hospital de Hellín. Gerencia de Atención Integrada de Hellín. Albacete (España)
| | - Lucía Camarena Navarro
- Medicina Interna. Hospital de Villarrobledo. Gerencia de Atención Integrada de Villarrobledo. Albacete (España)
| | - Ignacio Párraga Martínez
- Especialista en Medicina Familiar y Comunitaria. CS Zona VIII de Albacete. Gerencia de Atención Integrada de Albacete. Facultad de Medicina de Albacete, Universidad de Castilla-La Mancha. Albacete (España)
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22
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Fernández Bosch A, del Campo-Giménez M, Hermida-Lazcano I, Rodríguez-Marín Y, Camarena Navarro L, Párraga-Martínez I. Influencia de la pluripatología y comorbilidad en el ingreso hospitalario en una cohorte de pacientes de una unidad de continuidad asistencial Primaria-Interna. REVISTA CLÍNICA DE MEDICINA DE FAMILIA 2022. [DOI: 10.55783/rcmf.150206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objetivo: estimar la frecuencia de pluripatología y comorbilidad en pacientes seguidos en una unidad de continuidad asistencial Primaria-Interna, así como conocer sus características clínicas y la relación entre pluripatología y comorbilidad con el ingreso hospitalario.
Diseño: estudio observacional retrospectivo de casos y controles.
Emplazamiento: Unidad de Continuidad Asistencial de Atención Primaria y Medicina Interna (UCAPI) del Complejo Hospitalario Universitario de Albacete.
Participantes: Se analizaron 1.591 pacientes atendidos en una unidad de continuidad asistencial Primaria-Interna (292 con algún ingreso hospitalario en el último año y 1.299 sin ingresos).
Mediciones principales: edad, sexo, problemas de salud, índice de Charlson, consumo de medicamentos y utilización de servicios sanitarios los 3 años previos.
Resultados: del total de la muestra, un 18,4% (IC 95%:16,4-20,3) eran casos con algún ingreso. Presentaba pluripatología un 23,3% (IC 95%: 21,1-25,4) y comorbilidad (índice de Charlson ≥ 2) un 32,6% (IC 95%: 30,2-34,9). Fueron variables asociadas de forma independiente a ingreso hospitalario la pluripatología (OR: 2,51; IC 95%: 1,64-3,83; p < 0,001), comorbilidad (índice de Charlson ≥ 2) (OR: 1,81; IC 95%:1,18-2,78; p = 0,006), tener más de tres problemas de salud (OR: 1,49; IC 95%: 1,07-2,07; p = 0,017), contar con mayor número de consultas de Atención Primaria (AP) (OR: 1,01; IC 95%: 1,00-1,02; p = 0,005), de hospital (1,03; IC 95%: 1,01-1,05), p < 0,001) y realizar más visitas a urgencias hospitalarias (OR: 1,12, IC 95%: 1,07-1,17).
Conclusiones: casi una cuarta parte de los pacientes seguidos en una unidad de continuidad asistencial entre Medicina interna y de Familia presenta pluripatología y un tercio, comorbilidad. La presencia de pluripatología y comorbilidad son características relacionadas con el ingreso hospitalario, junto con la mayor utilización de servicios sanitarios.
Palabras clave: multimorbilidad, comorbilidad, hospitalización, utilización de servicios de salud.
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Affiliation(s)
- Alba Fernández Bosch
- Especialista en Medicina Familiar y Comunitaria. CS Plaza Segovia. Gerencia de Atención Primaria Hospital Dr. Peset. Valencia (España)
| | - María del Campo-Giménez
- Especialista en Medicina Familiar y Comunitaria. Consultorio de Ledaña. CS de Iniesta. Gerencia de Atención Integrada de Albacete. Albacete (España)
| | - Ignacio Hermida-Lazcano
- Médica internista. Servicio de Medicina Interna. Unidad de Continuidad Asistencial Primaria-Interna (UCAPI). Gerencia de Atención Integrada de Albacete. Albacete (España)
| | - Yulema Rodríguez-Marín
- Especialista en Medicina Interna. Hospital de Hellín. Gerencia de Atención Integrada de Hellín. Albacete (España)
| | - Lucía Camarena Navarro
- Medicina Interna. Hospital de Villarrobledo. Gerencia de Atención Integrada de Villarrobledo. Albacete (España)
| | - Ignacio Párraga-Martínez
- Especialista en Medicina Familiar y Comunitaria. CS Zona VIII de Albacete. Gerencia de Atención Integrada de Albacete. Facultad de Medicina de Albacete, Universidad de Castilla-La Mancha. Albacete (España)
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Borja AJ, Glauser G, Strouz K, Ali ZS, McClintock SD, Schuster JM, Yoon JW, Malhotra NR. Use of the LACE+ index to predict readmissions after single-level lumbar fusion. J Neurosurg Spine 2022; 36:722-730. [PMID: 34891130 DOI: 10.3171/2021.9.spine21705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/27/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Spinal fusion is one of the most common neurosurgical procedures. The LACE (length of stay, acuity of admission, Charlson Comorbidity Index [CCI] score, and emergency department [ED] visits within the previous 6 months) index was developed to predict readmission but has not been tested in a large, homogeneous spinal fusion population. The present study evaluated use of the LACE+ score for outcome prediction after lumbar fusion. METHODS LACE+ scores were calculated for all patients (n = 1598) with complete information who underwent single-level, posterior-only lumbar fusion at a single university medical system. Logistic regression was performed to assess the ability of the LACE+ score as a continuous variable to predict hospital readmissions within 30 days (30D), 30-90 days (30-90D), and 90 days (90D) of the index operation. Secondary outcome measures included ED visits and reoperations. Subsequently, patients with LACE+ scores in the bottom decile were exact matched to the patients with scores in the top 4 deciles to control for sociodemographic and procedural variables. RESULTS Among all patients, increased LACE+ score significantly predicted higher rates of readmissions in the 30D (p < 0.001), 30-90D (p = 0.001), and 90D (p < 0.001) postoperative windows. LACE+ score also predicted risk of ED visits at all 3 time points and reoperations at 30-90D and 90D. When patients with LACE+ scores in the bottom decile were compared with patients with scores in the top 4 deciles, higher LACE+ score predicted higher risk of readmissions at 30D (p = 0.009) and 90D (p = 0.005). No significant difference in hospital readmissions was observed between the exact-matched cohorts. CONCLUSIONS The present results suggest that the LACE+ score demonstrates utility in predicting readmissions within 30 and 90 days after single-level lumbar fusion. Future research is warranted that utilizes the LACE+ index to identify strategies to support high-risk patients in a prospective population.
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Affiliation(s)
- Austin J Borja
- 1Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Gregory Glauser
- 1Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Krista Strouz
- 2McKenna EpiLog Fellowship in Population Health, University of Pennsylvania, Philadelphia; and
| | - Zarina S Ali
- 1Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Scott D McClintock
- 3The West Chester Statistical Institute and Department of Mathematics, West Chester University, West Chester, Pennsylvania
| | - James M Schuster
- 1Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Jang W Yoon
- 1Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Neil R Malhotra
- 1Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- 2McKenna EpiLog Fellowship in Population Health, University of Pennsylvania, Philadelphia; and
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Physical Therapists. JOURNAL OF ACUTE CARE PHYSICAL THERAPY 2022. [DOI: 10.1097/jat.0000000000000192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Do In-Hospital Rothman Index Scores Predict Postdischarge Adverse Events and Discharge Location After Total Knee Arthroplasty? J Arthroplasty 2022; 37:668-673. [PMID: 34954019 PMCID: PMC8934277 DOI: 10.1016/j.arth.2021.12.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 09/22/2021] [Accepted: 12/15/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND There have been efforts to reduce adverse events and unplanned readmissions after total joint arthroplasty. The Rothman Index (RI) is a real-time, composite measure of medical acuity for hospitalized patients. We aimed to examine the association among in-hospital RI scores and complications, readmissions, and discharge location after total knee arthroplasty (TKA). We hypothesized that RI scores could be used to predict the outcomes of interest. METHODS This is a retrospective study of an institutional database of elective, primary TKA from July 2018 until December 2019. Complications and readmissions were defined per Centers for Medicare and Medicaid Services. Analysis included multivariate regression, computation of the area under the curve (AUC), and the Youden Index to set RI thresholds. RESULTS The study cohort's (n = 957) complications (2.4%), readmissions (3.6%), and nonhome discharge (13.7%) were reported. All RI metrics (minimum, maximum, last, mean, range, 25th%, and 75th%) were significantly associated with increased odds of readmission and home discharge (all P < .05). RI scores were not significantly associated with complications. The optimal RI thresholds for increased risk of readmission were last ≤ 71 (AUC = 0.65), mean ≤ 67 (AUC = 0.66), or maximum ≤ 80 (AUC = 0.63). The optimal RI thresholds for increased risk of home discharge were minimum ≥ 53 (AUC = 0.65), mean ≥ 69 (AUC = 0.65), or maximum ≥ 81 (AUC = 0.60). CONCLUSION RI values may be used to predict readmission or home discharge after TKA.
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Disease Severity and Risk Factors of 30-Day Hospital Readmission in Pediatric Hospitalizations for Pneumonia. J Clin Med 2022; 11:jcm11051185. [PMID: 35268277 PMCID: PMC8911283 DOI: 10.3390/jcm11051185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/14/2022] [Accepted: 02/21/2022] [Indexed: 02/04/2023] Open
Abstract
Pneumonia is the leading cause of hospitalization in pediatric patients. Disease severity greatly influences pneumonia progression and adverse health outcomes such as hospital readmission. Hospital readmissions have become a measure of healthcare quality to reduce excess expenditures. The aim of this study was to examine 30-day all-cause readmission rates and evaluate the association between pneumonia severity and readmission among pediatric pneumonia hospitalizations. Using 2018 Nationwide Readmissions Database (NRD), we conducted a cross-sectional study of pediatric hospitalizations for pneumonia. Pneumonia severity was defined by the presence of respiratory failure, sepsis, mechanical ventilation, dependence on long-term supplemental oxygen, and/or respiratory intubation. Outcomes of interest were 30-day all-cause readmission, length of stay, and cost. The rate of 30-day readmission for the total sample was 5.9%, 4.7% for non-severe pneumonia, and 8.7% for severe pneumonia (p < 0.01). Among those who were readmitted, hospitalizations for severe pneumonia had a longer length of stay (6.5 vs. 5.4 days, p < 0.01) and higher daily cost (USD 3246 vs. USD 2679, p < 0.01) than admissions for non-severe pneumonia. Factors associated with 30-day readmission were pneumonia severity, immunosuppressive conditions, length of stay, and hospital case volume. To reduce potentially preventable readmissions, clinical interventions to improve the disease course and hospital system interventions are necessary.
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Autologous Breast Reconstruction is Associated with Lower 90-day Readmission Rates. Plast Reconstr Surg Glob Open 2022; 10:e4112. [PMID: 35186645 PMCID: PMC8846266 DOI: 10.1097/gox.0000000000004112] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 11/22/2021] [Indexed: 02/05/2023]
Abstract
Background: Methods: Results: Conclusions:
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MacLean IS, Lu Y, Patel BH, Agarwalla A, Nolte MT, Lavoie-Gagne O, Romeo AA, Forsythe B. A Risk Stratification Nomogram to Predict Inpatient Admissions After Total Shoulder Arthroplasty Among Patients Eligible for Medicare. Orthopedics 2022; 45:43-49. [PMID: 34734779 DOI: 10.3928/01477447-20211101-09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The goal of this study was to establish a risk stratification nomogram to aid in determining the need for inpatient admission among patients who were eligible for Medicare and were undergoing primary total shoulder arthroplasty (TSA). The American College of Surgeons National Surgical Quality Improvement Program database was queried to identify all patients older than 65 years who underwent primary TSA between 2006 and 2016. The primary outcome measure was inpatient admission, as defined by hospital length of stay longer than 2 days. Multiple demographic, comorbid, and peri-operative variables were used in a multivariate logistic regression model to yield a risk stratification nomogram. A total of 1514 inpatient and 6020 out-patient admissions were analyzed. Age older than 80 years (odds ratio [OR], 2.69; P<.0001; 95% CI, 2.21-3.27), female sex (OR, 2.18; P<.0001; 95% CI, 1.90-2.51), dependent functional status (OR, 1.69; P<.0001; 95% CI, 1.2-2.38), dialysis (OR, 3.48; P=.029; 95% CI, 1.14-10.63), admission from an inpatient facility (OR, 1.76; P<.0001; 95% CI, 1.70-1.82), and inflammatory arthritis (OR, 1.69; P<.02; 95% CI, 1.25-13.78) were the greatest determinants of inpatient stay. The resulting predictive model showed acceptable discrimination and calibration. Our model enabled reliable and straightforward identification of the most suitable candidates for inpatient admission among patients who were eligible for Medicare and were undergoing primary TSA. Patients who were receiving dialysis, who had dyspnea at rest, and who had bleeding disorders were more likely to be admitted as inpatients after TSA. Larger multicenter studies are necessary to externally validate the proposed predictive nomogram. [Orthopedics. 2022;45(1):43-49.].
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Rehospitalization, Treatment, and Resource Use After Inpatient Admission for Achalasia in the USA. Dig Dis Sci 2021; 66:4149-4158. [PMID: 33386520 DOI: 10.1007/s10620-020-06775-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 12/08/2020] [Indexed: 12/09/2022]
Abstract
INTRODUCTION Readmission for achalasia treatment is associated with significant morbidity and cost. Factors predictive of readmission would be useful in identifying patients at risk. METHODS We performed a retrospective study using the Nationwide Readmission Database for the year 2016 and 2017. We collected data on hospital readmissions of 17,848 adults who were hospitalized for achalasia and discharged. The 30-day readmission rate as well as the primary cause, mortality rate, in-hospital adverse events, and total hospitalization charges were examined. A cox multivariate regression model was used to identify independent risk factors for 30-day readmission, including the surgical or endoscopic treatment used during the index admission. RESULTS From 2016 to 2017, the 30-day readmission rate for index admission with achalasia was 15.2%. Of these 15.2%, 34% were readmitted with persistent symptoms of achalasia or treatment-related complications. Older age, higher comorbidity index, possessing private insurance, and those with either pneumatic balloon dilation or no endoscopic/surgical treatment showed higher odds of readmission on multivariate analysis. Those treated with laparoscopic Heller myotomy (LHM) or peroral endoscopic myotomy (POEM) showed lower odds of readmission. There was no difference in rates of readmission between those undergoing POEM or LHM, but mortality rate for readmission was significantly higher for the LHM group. The in-hospital mortality rate and length of stay were significantly higher for readmissions (p < 0.01) than the index admissions. CONCLUSION Three in 20 patients admitted with achalasia are likely to be readmitted within 30 days of their initial hospitalization, a number which can be higher in untreated patients and in those with multiple comorbidities. Rehospitalizations bear a higher mortality rate than the initial admission and present a burden to the healthcare system.
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Ludbrook GL. The Hidden Pandemic: the Cost of Postoperative Complications. CURRENT ANESTHESIOLOGY REPORTS 2021; 12:1-9. [PMID: 34744518 PMCID: PMC8558000 DOI: 10.1007/s40140-021-00493-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2021] [Indexed: 12/17/2022]
Abstract
Purpose of Review Population-based increases in ageing and medical co-morbidities are expected to substantially increase the incidence of expensive postoperative complications. This threatens the sustainability of essential surgical care, with negative impacts on patients' health and wellbeing. Recent Findings Identification of key high-risk areas, and implementation of proven cost-effective strategies to manage both outcome and cost across the end-to-end journey of the surgical episode of care, is clearly feasible. However, good programme design and formal cost-effectiveness analysis is critical to identify, and implement, true high value change. Summary Both outcome and cost need to be a high priority for both fundholders and clinicians in perioperative care, with the focus for both groups on delivering high-quality care, which in itself, is the key to good cost management.
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Affiliation(s)
- Guy L. Ludbrook
- The University of Adelaide, and Royal Adelaide Hospital, C/O Royal Adelaide Hospital, 3G395, 1 Port Road, Adelaide, South Australia 5000 Australia
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McClellan SR, Trombley MJ, Maughan BC, Kahvecioglu DC, Marshall J, Marrufo GM, Kummet C, Hassol A. Patient-reported Outcomes Among Vulnerable Populations in the Medicare Bundled Payments for Care Improvement Initiative. Med Care 2021; 59:980-988. [PMID: 34644284 DOI: 10.1097/mlr.0000000000001644] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The Centers for Medicare & Medicaid Services Bundled Payments for Care Improvement (BPCI) initiative tested whether episode-based payment models could reduce Medicare payments without harming quality. Among patients with vulnerabilities, BPCI appeared to effectively reduce payments while maintaining the quality of care. However, these findings could overlook potential adverse patient-reported outcomes in this population. RESEARCH DESIGN We surveyed beneficiaries with 4 characteristics (Medicare-Medicaid dual eligibility; dementia; recent institutional care; or racial/ethnic minority) treated at BPCI-participating or comparison hospitals for congestive heart failure, sepsis, pneumonia, or major joint replacement of the lower extremity. We estimated risk-adjusted differences in patient-reported outcomes between BPCI and comparison respondents, stratified by clinical episode and vulnerable characteristic. MEASURES Patient care experiences during episodes of care and patient-reported functional outcomes assessed roughly 90 days after hospitalization. RESULTS We observed no differences in self-reported functional improvement between BPCI and comparison respondents with vulnerable characteristics. Patient-reported care experience was similar between BPCI and comparison respondents in 11 of 15 subgroups of clinical episode and vulnerability. BPCI respondents with congestive heart failure, sepsis, and pneumonia were less likely to indicate positive care experiences than comparison respondents for at least 1 subgroup with vulnerabilities. CONCLUSIONS As implemented by hospitals, BPCI Model 2 was not associated with adverse effects on patient-reported functional status among beneficiaries who may be vulnerable to reductions in care. Hospitals participating in heart failure, sepsis or pneumonia bundled payment episodes should focus on patient care experience while implementing changes in care delivery.
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Affiliation(s)
| | | | - Brandon C Maughan
- Department of Emergency Medicine, Oregon Health and Science University, Portland, OR
| | | | | | | | - Colleen Kummet
- General Dynamics Information Technology, West Des Moines, IA
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Woeste MR, Strothman P, Jacob K, Egger ME, Philips P, McMasters KM, Martin RCG, Scoggins CR. Hepatopancreatobiliary readmission score out performs administrative LACE+ index as a predictive tool of readmission. Am J Surg 2021; 223:933-938. [PMID: 34625205 DOI: 10.1016/j.amjsurg.2021.09.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/19/2021] [Accepted: 09/29/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND This study aims to compare the LACE + readmission index to a novel hepatopancreatobiliary readmission risk score (HRRS) in predicting post-operative hepatopancreatobiliary (HPB) cancer patient readmissions. METHODS A retrospective review of 104 postoperative HPB cancer patients from January 2017 to July of 2019 was performed. Univariable and multivariable analyses were utilized. RESULTS The LACE + index did not predict 30-day (OR 1.01, 95% CI, 0.97-1.05, p = 0.81, c-statistic = 0.52) or 90-day (OR 1.02, 95% CI, 0.98-1.05, p = 0.43) readmission. Patients readmitted within 30 days had significantly increased HRRS scores compared to those who were not (0 vs 34, p < 0.001). A single unit increase in HRRS corresponded to a 6.5% increased risk of readmission; (OR 1.065, 95% CI, 1.038-1.094, p < 0.0001). HRRS independently predicted 30-day (OR 1.07, 95% CI, 1.04-1.11, p < 0.0001) and 90-day postoperative readmission (OR 1.05, 95% CI 1.03-1.08, p < 0.0001). CONCLUSIONS HRRS better predicts postoperative readmissions for HPB surgical patients compared to LACE+. Accurate assessment of postoperative readmission must include readmission scores focused on clinically relevant perioperative parameters.
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Affiliation(s)
- Matthew R Woeste
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Phillip Strothman
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Kevin Jacob
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Michael E Egger
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Prejesh Philips
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Kelly M McMasters
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Robert C G Martin
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Charles R Scoggins
- The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
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National Rates, Reasons, and Risk Factors for 30- and 90-Day Readmission and Reoperation Among Patients Undergoing Anterior Cervical Discectomy and Fusion: An Analysis Using the Nationwide Readmissions Database. Spine (Phila Pa 1976) 2021; 46:1302-1314. [PMID: 34517399 DOI: 10.1097/brs.0000000000004020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN Retrospective cohort study of the Nationwide Readmissions Database (NRD). OBJECTIVE To determine causes of and independent risk factors for 30- and 90-day readmission in a cohort of anterior cervical discectomy and fusion (ACDF) patients. SUMMARY OF BACKGROUND DATA Identifying populations at high-risk of 30-day readmission is a priority in healthcare reform so as to reduce cost and patient morbidity. However, among patients undergoing ACDF, nationally-representative data have been limited, and have seldom described 90-day readmissions, early reoperation, or socioeconomic influences. METHODS We queried the NRD, which longitudinally tracks 49.3% of hospitalizations, for all adult patients undergoing ACDF. We calculated the rates of, and determined reasons for, readmission and reoperation at 30 and 90 days, and determined risk factors for readmission at each timepoint. RESULTS We identified 50,126 patients between January and September 2014. Of these, 2294 (4.6%) and 4152 (8.3%) were readmitted within 30 and 90 days of discharge, respectively, and were most commonly readmitted for infections, medical complications, and dysphagia. The characteristics most strongly associated with readmission were Medicare or Medicaid insurance, length of stay greater than or equal to 4 days, three or more comorbidities, and non-routine discharge, whereas surgical factors (e.g., greater number of vertebrae fused) were more modest. By 30 and 90 days, 8.2% and 11.7% of readmitted patients underwent an additional spinal procedure, respectively. CONCLUSION Our analysis uses the NRD to thoroughly characterize readmission in the general ACDF population. Readmissions are often delayed (after 30 days), strongly associated with insurance status, and many result in reoperation. Our results are crucial for risk-stratifying future ACDF patients and developing interventions to reduce readmission.Level of Evidence: 3.
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Discharge Destination After Shoulder Arthroplasty: An Analysis of Discharge Outcomes, Placement Risk Factors, and Recent Trends. J Am Acad Orthop Surg 2021; 29:e969-e978. [PMID: 33323680 DOI: 10.5435/jaaos-d-20-00294] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 10/12/2020] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION Rates of shoulder arthroplasty continue to increase. Factors influencing disposition and the effect discharge destination may have on perioperative outcomes are currently unknown. This study (1) investigates patients undergoing total shoulder arthroplasty subsequently discharged to home, skilled nursing facilities, and or independent rehabilitation facilities; (2) identifies differences in perioperative outcomes; and (3) investigates the risk of adverse events and readmission after nonhome disposition. METHODS The American College of Surgeons National Surgical Quality Improvement Program database was queried for patients undergoing total shoulder arthroplasty from 2013 to 2018. Bivariate and multivariate analyses were conducted to determine the relationship between patient characteristics and risks of discharge to a non-home destination, discharge to an independent rehabilitation facility as opposed to a skilled nursing facility, severe postdischarge adverse events, and unplanned readmission. RESULTS Factors associated with discharge to a non-home facility included those older than 85 years of age (odds ratio [OR], 14.38), dialysis requirement (OR, 4.16), transfer from a non-home facility (OR, 3.69), dependent functional status (OR, 3.17), female sex (OR, 2.78), history of congestive heart failure (2.05), American Society of Anesthesiologists class >2 (OR, 1.97), longer length of stay (OR, 1.47), and body mass index >35 (OR, 1.29) (P < 0.05). Patients discharged to a non-home facility had an approximately quadrupled rate of both major adverse events (8.6% vs 2.4%, P < 0.001) and minor adverse events (6.1% vs 1.4%, P < 0.001). Discharge to a non-home facility had a higher likelihood of a severe adverse event (OR, 1.82, P = 0.029) or unplanned readmission (OR, 1.60, P = 0.001). CONCLUSIONS Non-home discharge destination demonstrated a notable negative impact on postoperative outcomes independent of medical complexity. Preoperative management of modifiable risk factors may decrease length of inpatient stay, rates of disposition to non-home facilities, and total cost of care. The benefit of more intense postoperative management at a non-home discharge destination must be carefully weighed against the independent risk of postoperative adverse events and readmissions.
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Dreyer RP, Raparelli V, Tsang SW, D'Onofrio G, Lorenze N, Xie CF, Geda M, Pilote L, Murphy TE. Development and Validation of a Risk Prediction Model for 1-Year Readmission Among Young Adults Hospitalized for Acute Myocardial Infarction. J Am Heart Assoc 2021; 10:e021047. [PMID: 34514837 PMCID: PMC8649501 DOI: 10.1161/jaha.121.021047] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Readmission over the first year following hospitalization for acute myocardial infarction (AMI) is common among younger adults (≤55 years). Our aim was to develop/validate a risk prediction model that considered a broad range of factors for readmission within 1 year. Methods and Results We used data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young adults aged 18 to 55 years hospitalized with AMI across 103 US hospitals (N=2979). The primary outcome was ≥1 all‐cause readmissions within 1 year of hospital discharge. Bayesian model averaging was used to select the risk model. The mean age of participants was 47.1 years, 67.4% were women, and 23.2% were Black. Within 1 year of discharge for AMI, 905 (30.4%) of participants were readmitted and were more likely to be female, Black, and nonmarried. The final risk model consisted of 10 predictors: depressive symptoms (odds ratio [OR], 1.03; 95% CI, 1.01–1.05), better physical health (OR, 0.98; 95% CI, 0.97–0.99), in‐hospital complication of heart failure (OR, 1.44; 95% CI, 0.99–2.08), chronic obstructive pulmomary disease (OR, 1.29; 95% CI, 0.96–1.74), diabetes mellitus (OR, 1.23; 95% CI, 1.00–1.52), female sex (OR, 1.31; 95% CI, 1.05–1.65), low income (OR, 1.13; 95% CI, 0.89–1.42), prior AMI (OR, 1.47; 95% CI, 1.15–1.87), in‐hospital length of stay (OR, 1.13; 95% CI, 1.04–1.23), and being employed (OR, 0.88; 95% CI, 0.69–1.12). The model had excellent calibration and modest discrimination (C statistic=0.67 in development/validation cohorts). Conclusions Women and those with a prior AMI, increased depressive symptoms, longer inpatient length of stay and diabetes may be more likely to be readmitted. Notably, several predictors of readmission were psychosocial characteristics rather than markers of AMI severity. This finding may inform the development of interventions to reduce readmissions in young patients with AMI.
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Affiliation(s)
- Rachel P Dreyer
- Center for Outcomes Research and Evaluation, Yale - New Haven Hospital New Haven CT.,Department of Emergency Medicine Yale School of Medicine New Haven CT
| | - Valeria Raparelli
- Department of Translational Medicine University of Ferrara Ferrara Italy.,Department of Nursing University of Alberta Edmonton Canada.,University Center for Studies on Gender Medicine University of Ferrara Ferrara Italy
| | - Sui W Tsang
- Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Gail D'Onofrio
- Department of Emergency Medicine Yale School of Medicine New Haven CT
| | - Nancy Lorenze
- Program on Aging Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Catherine F Xie
- Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Mary Geda
- Program on Aging Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Louise Pilote
- Centre for Outcomes Research and Evaluation McGill University Health Centre Research Institute Montreal Quebec Canada.,Divisions of Clinical Epidemiology and General Internal Medicine McGill University Health Centre Research Institute Montreal Quebec Canada
| | - Terrence E Murphy
- Program on Aging Department of Internal Medicine Yale School of Medicine New Haven CT
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Stewart M, Estephan L, Sagheer H, Curry JM, Boon M, Huntley C. Upper airway stimulation: Fewer complications, ED presentations, readmissions, and increased surgical success. Am J Otolaryngol 2021; 42:103035. [PMID: 33865205 DOI: 10.1016/j.amjoto.2021.103035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 03/30/2021] [Indexed: 12/26/2022]
Abstract
OBJECTIVES Evaluate the rate of complications, readmissions, emergency department presentations, and surgical success rates amongst three standard surgical treatment options for obstructive sleep apnea: upper airway stimulation, transoral robotic surgery, and expansion sphincter pharyngoplasty. STUDY DESIGN Retrospective cohort. SETTING Tertiary care center. METHODS Patients were included who were aged ≥18 years old and underwent upper airway stimulation, transoral robotic surgery, or expansion sphincter pharyngoplasty between January 2011 and May 2020. RESULTS 345 patients were identified: 58% (n = 201) underwent upper airway stimulation, 10% (n = 35) underwent transoral robotic surgery, and 32% (n = 109) patients underwent expansion sphincter pharyngoplasty. There were 22 emergency department presentations and 19 readmissions, most of which were experienced by patients receiving transoral robotic surgery (six emergencies, seven readmissions) and expansion sphincter pharyngoplasty (12 emergencies, 11 readmissions). Patients with upper airway stimulation had four emergencies and one readmission. Only 2% of the upper airway stimulation cohort had a complication, whereas this was 20% and 12% for the transoral robotic surgery and expansion sphincter pharyngoplasty cohorts, respectively. Patients experienced the highest surgical success rate with upper airway stimulation (69%), whereas patients who received transoral robotic surgery and expansion sphincter pharyngoplasty had success rates of 50% and 51%, respectively. CONCLUSION Treating obstructive sleep apnea with upper airway stimulation led to lower rates of complications, emergency department presentations, and readmissions in this series. In those for whom upper airway stimulation is appropriate, it may be more effective in successfully treating obstructive sleep apnea than transoral robotic surgery and expansion sphincter pharyngoplasty.
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Affiliation(s)
- Matthew Stewart
- Thomas Jefferson University Hospital, Department of Otolaryngology - Head and Neck Surgery, 925 Chestnut St, Philadelphia, PA 19107, United States of America.
| | - Leonard Estephan
- Thomas Jefferson University Hospital, Department of Otolaryngology - Head and Neck Surgery, 925 Chestnut St, Philadelphia, PA 19107, United States of America
| | - Hamad Sagheer
- Thomas Jefferson University Hospital, Department of Otolaryngology - Head and Neck Surgery, 925 Chestnut St, Philadelphia, PA 19107, United States of America
| | - Joseph M Curry
- Thomas Jefferson University Hospital, Department of Otolaryngology - Head and Neck Surgery, 925 Chestnut St, Philadelphia, PA 19107, United States of America
| | - Maurits Boon
- Thomas Jefferson University Hospital, Department of Otolaryngology - Head and Neck Surgery, 925 Chestnut St, Philadelphia, PA 19107, United States of America
| | - Colin Huntley
- Thomas Jefferson University Hospital, Department of Otolaryngology - Head and Neck Surgery, 925 Chestnut St, Philadelphia, PA 19107, United States of America
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Mpody C, Hayes S, Rusin N, Tobias JD, Nafiu OO. Risk Assessment for Postoperative Pneumonia in Children Living With Neurologic Impairments. Pediatrics 2021; 148:peds.2021-050130. [PMID: 34349030 DOI: 10.1542/peds.2021-050130] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/15/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Approximately one-third of all pediatric hospital charges are attributable to the care for children living with neurologic comorbidities. These children often require various surgical procedures and may have an elevated risk of lower respiratory infections because of poor neuromuscular coordination, poor cough, uncoordinated swallowing, and poor oral hygiene. Our objective was to evaluate the risk of pneumonia in children presenting with neurologic comorbidities. METHODS We performed a retrospective study of children (<18 years) who underwent inpatient surgery between 2012 and 2018 in hospitals participating in the National Surgical Quality Improvement Program. Our primary outcome was the time to incident pneumonia within the 30 days after surgery. RESULTS We identified 349 163 children, of whom 2191 developed pneumonia (30-day cumulative incidence: 0.6%). The presence of a preoperative neurologic comorbidity conferred approximately twofold higher risk of postoperative pneumonia (hazard ratio [HR]: 1.91, 95% confidence interval [CI]: 1.73-2.11). We explored the risk of pneumonia conferred by the components of neurologic comorbidity: cerebral palsy (HR: 3.92, 95% CI: 3.38-4.56), seizure disorder (HR: 2.93, 95% CI: 2.60-3.30), neuromuscular disorder (HR: 2.63, 95% CI: 2.32-2.99). The presence of a neurologic comorbidity was associated with a longer length of hospital stay (incidence rate ratio: 1.26, 95% CI: 1.25-1.28). CONCLUSIONS The risk of postoperative pneumonia was almost twofold higher in children with neurologic comorbidity. The magnitude of these associations underscores the need to identify areas of research and preventive strategies to reduce the excess risk of pneumonia in children with preoperative neurologic conditions.
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Affiliation(s)
- Christian Mpody
- Department of Anesthesiology and Pain Medicine, Nationwide Children's Hospital, Columbus, Ohio
| | - Seth Hayes
- Department of Anesthesiology and Pain Medicine, Nationwide Children's Hospital, Columbus, Ohio
| | - Nathan Rusin
- Department of Anesthesiology and Pain Medicine, Nationwide Children's Hospital, Columbus, Ohio
| | - Joseph D Tobias
- Department of Anesthesiology and Pain Medicine, Nationwide Children's Hospital, Columbus, Ohio
| | - Olubukola O Nafiu
- Department of Anesthesiology and Pain Medicine, Nationwide Children's Hospital, Columbus, Ohio
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Risk Factors Associated with 90-day Readmissions Following Odontoid Fractures: A Nationwide Readmissions Database Study. Spine (Phila Pa 1976) 2021; 46:1039-1047. [PMID: 33625117 DOI: 10.1097/brs.0000000000004010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN Nationwide Readmissions Database Study. OBJECTIVE The aim of this study was to investigate readmission rates and factors related to readmission after surgical and nonsurgical management of odontoid fractures. SUMMARY OF BACKGROUND DATA Management of odontoid fractures, which are the most common isolated spine fracture in the elderly, continues to be debated. The choice between surgical or nonsurgical treatment has been reported to impact mortality and might influence readmission rates. Hospital readmissions represent a large financial burden upon our healthcare system. Factors surrounding hospital readmissions would benefit from a better understanding of their associated causes to lower health care costs. METHODS A retrospective study was performed using the 2016 Healthcare Utilization Project (HCUP) Nationwide Readmission Database (NRD). Demographic information and factors associated with readmission were collected. Readmission rates, complications, length of hospital stay were collected. Patients treated operatively, nonoperatively, and patients who were readmitted or not readmitted were compared. Statistical analysis was performed using open source software SciPy (Python v1.3.0) for all analyses. RESULTS We identified 2921 patients who presented with Type II dens fractures from January 1, 2016 to September 30, 2016, 555 of which underwent surgical intervention. The readmission rate in patients who underwent surgery was 16.4% (91/555) and 29.4% (696/2366) in the nonoperative group. Hospital costs for readmitted and nonreadmitted patients were $353,704 and $174,922, and $197,099 and $80,715 for nonoperatively managed patients, respectively. Medicaid and Medicare patients had the highest readmission rate in both groups. Charlson and Elixhauser comorbidity indices were significantly higher in patients who were readmitted (P < 0.0001). CONCLUSION We report an overall 90-day readmission rate of 16.4% and 29.4%, in operative and nonoperative management of type II odontoid fractures, respectively. In the face of a rising incidence of this fracture in the elderly population, an understanding of the comorbidities and age-related demographics associated with 90-day readmissions following both surgical and nonsurgical treatment are critical.Level of Evidence: 3.
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Dimentberg R, Caplan IF, Winter E, Glauser G, Goodrich S, McClintock SD, Hume EL, Malhotra NR. Prediction of Adverse Outcomes Within 90 Days of Surgery in a Heterogeneous Orthopedic Surgery Population. J Healthc Qual 2021; 43:e53-e63. [PMID: 32773485 DOI: 10.1097/jhq.0000000000000280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION The LACE+ index has been shown to predict readmissions; however, LACE+ has not been validated for extended postoperative outcomes in an orthopedic surgery population. The purpose of this study is to examine whether LACE+ scores predict unplanned readmissions and adverse outcomes following orthopedic surgery. Use of the LACE1 index to proactively identify at-risk patients may enable actions to reduce preventable readmissions. METHODS LACE+ scores were retrospectively calculated at the time of discharge for all consecutive orthopedic surgery patients (n = 18,893) at a multicenter health system over 3 years (2016-2018). Coarsened exact matching was used to match patients based on characteristics not assessed in the LACE+ index. Outcome differences between matched patients in different LACE quartiles (i.e. Q4 vs. Q3, Q2, and Q1) were analyzed. RESULTS Higher LACE+ scores significantly predicted readmission and emergency department visits within 90 days of discharge and for 30-90 days after discharge for all studied quartiles. Higher LACE+ scores also significantly predicted reoperations, but only between Q4 and Q3 quartiles. CONCLUSIONS The results suggest that the LACE+ risk-prediction tool may accurately predict patients with a high likelihood of adverse outcomes after a broad array of orthopedic procedures.
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Ayvaci M, Cavusoglu H, Kim Y, Raghunathan S. Designing Payment Contracts for Healthcare Services to Induce Information Sharing: The Adoption and the Value of Health Information Exchanges (HIEs). MIS QUART 2021. [DOI: 10.25300/misq/2021/14809] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Recent initiatives to improve healthcare quality and reduce costs have centered around payment mechanisms and IT-enabled health information exchanges (HIEs). Such initiatives profoundly influence both providers’ choices in terms of healthcare effort levels and HIE adoption and patients’ choice of providers. Using a game-theoretical model of a healthcare setup, we examine the role of payment models in aligning providers’ and patients’ incentives for realizing socially optimal (i.e., first-best) choices. We show that the traditional fee-for-service (FFS) payment model does not necessarily induce the first-best solution. The pay-for-performance (P4P) model may induce the first-best solution under some conditions if provider switching by patients during a health episode is socially suboptimal, making provider coordination less of an issue. We identify an episode-based payment (EBP) model that can always induce the first-best solution. The proposed EBP model reduces to the P4P model if the P4P model induces the first-best solution. In other cases, the first-best inducing EBP model is multilateral in the sense that the payment to a provider depends not only on the provider’s own efforts and outcomes but also on those of other providers. Furthermore, the payment in this EBP model is sequence dependent in the sense that payment to a provider is contingent upon whether the patient visits a given provider first or second. We show that the proposed EBP model achieves the lowest healthcare cost, not necessarily at the expense of care quality or provider payment, relative to FFS and P4P. Although our proposed contract is complex, it sets an optimality baseline when evaluating simpler contracts and also characterizes aspects of payment that need to be captured for socially desirable actions. We further show that the value of HIEs depends critically on the payment model as well as on the social desirability of patient switching. Under all three payment models, the HIE value is higher when switching by at least some patients is desirable than when switching by any patient is undesirable. Moreover, the HIE value is highest under the FFS model and lowest under the P4P model. Hence, assessing the value of HIEs in isolation from the underlying payment mechanism and patient-switching behavior may result in under- or overestimation of the HIE value. Therefore, as payment models evolve over time, there is a real need to reevaluate the HIE value and the government subsidies that induce providers to adopt HIEs.
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Wu CX, Suresh E, Phng FWL, Tai KP, Pakdeethai J, D'Souza JLA, Tan WS, Phan P, Lew KSM, Tan GYH, Chua GSW, Hwang CH. Effect of a Real-Time Risk Score on 30-day Readmission Reduction in Singapore. Appl Clin Inform 2021; 12:372-382. [PMID: 34010978 DOI: 10.1055/s-0041-1726422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To develop a risk score for the real-time prediction of readmissions for patients using patient specific information captured in electronic medical records (EMR) in Singapore to enable the prospective identification of high-risk patients for enrolment in timely interventions. METHODS Machine-learning models were built to estimate the probability of a patient being readmitted within 30 days of discharge. EMR of 25,472 patients discharged from the medicine department at Ng Teng Fong General Hospital between January 2016 and December 2016 were extracted retrospectively for training and internal validation of the models. We developed and implemented a real-time 30-day readmission risk score generation in the EMR system, which enabled the flagging of high-risk patients to care providers in the hospital. Based on the daily high-risk patient list, the various interfaces and flow sheets in the EMR were configured according to the information needs of the various stakeholders such as the inpatient medical, nursing, case management, emergency department, and postdischarge care teams. RESULTS Overall, the machine-learning models achieved good performance with area under the receiver operating characteristic ranging from 0.77 to 0.81. The models were used to proactively identify and attend to patients who are at risk of readmission before an actual readmission occurs. This approach successfully reduced the 30-day readmission rate for patients admitted to the medicine department from 11.7% in 2017 to 10.1% in 2019 (p < 0.01) after risk adjustment. CONCLUSION Machine-learning models can be deployed in the EMR system to provide real-time forecasts for a more comprehensive outlook in the aspects of decision-making and care provision.
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Affiliation(s)
- Christine Xia Wu
- Quality, Innovation and Improvement, Ng Teng Fong General Hospital, Singapore
| | - Ernest Suresh
- Department of Medicine, Ng Teng Fong General Hospital, Singapore
| | | | - Kai Pik Tai
- Quality, Innovation and Improvement, Ng Teng Fong General Hospital, Singapore
| | | | | | - Woan Shin Tan
- Health Services and Outcomes Research, National Healthcare Group, Singapore
| | - Phillip Phan
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States.,Department of Medicine, National University of Singapore, Singapore
| | - Kelvin Sin Min Lew
- Quality, Innovation and Improvement, Ng Teng Fong General Hospital, Singapore
| | | | | | - Chi Hong Hwang
- Quality, Innovation and Improvement, Ng Teng Fong General Hospital, Singapore
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Borja AJ, Connolly J, Kvint S, Detchou DKE, Glauser G, Strouz K, McClintock SD, Marcotte PJ, Malhotra NR. Charlson Comorbidity Index score predicts adverse post-operative outcomes after far lateral lumbar discectomy. Clin Neurol Neurosurg 2021; 206:106697. [PMID: 34030078 DOI: 10.1016/j.clineuro.2021.106697] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/13/2021] [Accepted: 05/16/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION The Charlson Comorbidity Index (CCI) score has been shown to predict 10-year all-cause mortality and post-neurosurgical complications but has never been examined in a far lateral disc herniation (FLDH) population. This study aims to correlate CCI score with adverse outcomes following FLDH repair. PATIENTS AND METHODS All patients (n = 144) undergoing discectomy for FLDH at a single, multihospital academic medical system (2013-2020) were retrospectively analyzed. CCI scores were determined for all patients. Univariate logistic regression was used to determine the ability of CCI score to predict adverse outcomes. RESULTS Mean age of the population was 61.72 ± 11.55 years, 69 (47.9%) were female, and 126 (87.5%) were non-Hispanic white. Patients underwent either open (n = 92) or endoscopic (n = 52) FLDH repair. Average CCI score among the patient population was 2.87 ± 2.42. Each additional point in CCI score was significantly associated with higher rates of readmission (p = 0.022, p = 0.014) in the 30-day and 30-90-day post-surgery window, respectively, and emergency department visits (p = 0.011) within 30-days. CCI score also predicted risk of reoperation of any kind (p = 0.013) within 30 days of the index operation. In addition, CCI score was predictive of risk of reoperation of any kind (p = 0.008, p < 0.001; respectively) and repeat neurosurgical intervention (p = 0.027, p = 0.027) within 30-days and 90-days of the index admission (either during the same admission or after discharge). CONCLUSIONS This study suggests that CCI score is a useful metric to predict of numerous adverse postoperative outcomes following discectomy for FLDH.
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Affiliation(s)
- Austin J Borja
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - John Connolly
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Svetlana Kvint
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Donald K E Detchou
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Gregory Glauser
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Krista Strouz
- McKenna EpiLog Fellowship in Population Health at the University of Pennsylvania, Philadelphia, PA, USA; West Chester University, The West Chester Statistical Institute and Department of Mathematics, West Chester, PA, USA
| | - Scott D McClintock
- West Chester University, The West Chester Statistical Institute and Department of Mathematics, West Chester, PA, USA
| | - Paul J Marcotte
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Neil R Malhotra
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; McKenna EpiLog Fellowship in Population Health at the University of Pennsylvania, Philadelphia, PA, USA.
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Alligood DM, Albo D, Meiler SE, Cartwright SM, Kelly A, Xu H, Saeed M. Using NSQIP Data to Reduce Institutional Postoperative Pneumonia Rates in Non-ICU Patients: A Plan-Do-Study-Act Approach. J Am Coll Surg 2021; 233:193-202.e5. [PMID: 34015453 DOI: 10.1016/j.jamcollsurg.2021.04.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) is a program designed to measure and improve surgical care quality. In 2015, the study institution formed a multidisciplinary team to address the poor adult postoperative pneumonia performance (worst decile). STUDY DESIGN The study institution is a 450+ bed tertiary care center that performs 12,000+ surgical procedures annually. From January 2016 to December 2019, the institution abstracted surgical cases and assigned postoperative pneumonia as a complication per the NSQIP operations manual. Using a plan-do-study-act approach, a multidisciplinary postoperative pneumonia prevention team implemented initiatives regarding incentive spirometry education, anesthetic optimization, early mobility, and oral care. The team measured the initiatives' success by analyzing semiannual reports (SAR) provided by the ACS NSQIP and regional adjusted percentile rankings provided by the Georgia Surgical Quality Collaborative (GSQC). RESULTS The 2015 SAR postoperative pneumonia rate was 4.20% (odds ratio [OR] 3.86, confidence interval [CI] 2.92-5.11). After project initiation, the postoperative pneumonia rates decreased for all NSQIP cases, from 2.51% (OR 2.67, CI 1.89-3.77) in 2016 to 2.08% (OR 2.61, CI 1.82-3.74) in 2017, to 0.85% (OR 1.10, CI 0.69-1.75) in 2018, and then increased slightly to 1.14% (OR 1.27, CI 0.84-1.92) in 2019. The institution's adjusted percentile regional rank of participating regional ACS NSQIP hospitals' postoperative pneumonia rate improved from 14/14 (July 2015-June 2016) to 6/14 (July 2018-June 2019). CONCLUSIONS The multidisciplinary postoperative pneumonia prevention team successfully decreased the postoperative pneumonia rate, therefore improving surgical patients' outcomes. Furthermore, this quality improvement project also saved valuable revenue for the hospital.
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Affiliation(s)
| | - Daniel Albo
- Department of Surgery, Augusta University Medical Center, Augusta GA
| | - Steffen E Meiler
- Department of Anesthesiology, Augusta University Medical Center, Augusta GA
| | | | - Allen Kelly
- Perioperative Services, Augusta University Medical Center, Augusta GA
| | - Hongyan Xu
- Biostatistics, Augusta University, Augusta GA
| | - Muhammad Saeed
- Department of Surgery, Augusta University Medical Center, Augusta GA
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Connolly J, Borja AJ, Kvint S, Detchou DKE, Glauser G, Strouz K, McClintock SD, Marcotte PJ, Malhotra NR. Outcomes Following Discectomy for Far Lateral Disc Herniation Are Not Predicted by Obstructive Sleep Apnea. Cureus 2021; 13:e14921. [PMID: 34123620 PMCID: PMC8189272 DOI: 10.7759/cureus.14921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction Previous studies have demonstrated that obstructive sleep apnea (OSA) is associated with adverse postoperative outcomes, but few studies have examined OSA in a purely spine surgery population. This study investigates the association of the STOP-Bang questionnaire, a screening tool for undiagnosed OSA, with adverse events following discectomy for far lateral disc herniation (FLDH). Methods All adult patients (n = 144) who underwent FLDH surgery at a single, multihospital, academic medical center (2013-2020) were retrospectively enrolled. Univariate logistic regression was performed to evaluate the relationship between risk of OSA (low- or high-risk) according to STOP-Bang score and postsurgical outcomes, including unplanned hospital readmissions, ED visits, and reoperations. Results Ninety-two patients underwent open FLDH surgery, while 52 underwent endoscopic procedures. High risk of OSA according to STOP-Bang score did not predict risk of readmission, ED visit, outpatient office visit, or reoperation of any kind within either 30 days or 30-90 days of surgery. High risk of OSA also did not predict risk of reoperation of any kind or repeat neurosurgical intervention within 30 days or 90 days of the index admission (either during the same admission or after discharge). Conclusion The STOP-Bang questionnaire is not a reliable tool for predicting post-operative morbidity and mortality for FLDH patients undergoing discectomy. Additional studies are needed to assess the impact of OSA on morbidity and mortality in other spine surgery populations.
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Affiliation(s)
- John Connolly
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Austin J Borja
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Svetlana Kvint
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Donald K E Detchou
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Gregory Glauser
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Krista Strouz
- McKenna EpiLog Fellowship in Population Health, University of Pennsylvania, Philadelphia, USA.,Department of Mathematics, West Chester University, West Chester, USA
| | | | - Paul J Marcotte
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Neil R Malhotra
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
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Huang Y, Talwar A, Chatterjee S, Aparasu RR. Application of machine learning in predicting hospital readmissions: a scoping review of the literature. BMC Med Res Methodol 2021; 21:96. [PMID: 33952192 PMCID: PMC8101040 DOI: 10.1186/s12874-021-01284-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 04/15/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Advances in machine learning (ML) provide great opportunities in the prediction of hospital readmission. This review synthesizes the literature on ML methods and their performance for predicting hospital readmission in the US. METHODS This review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) Statement. The extraction of items was also guided by the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). Electronic databases PUBMED, MEDLINE, and EMBASE were systematically searched from January 1, 2015, through December 10, 2019. The articles were imported into COVIDENCE online software for title/abstract screening and full-text eligibility. Observational studies using ML techniques for hospital readmissions among US patients were eligible for inclusion. Articles without a full text available in the English language were excluded. A qualitative synthesis included study characteristics, ML algorithms utilized, and model validation, and quantitative analysis assessed model performance. Model performances in terms of Area Under the Curve (AUC) were analyzed using R software. Quality in Prognosis Studies (QUIPS) tool was used to assess the quality of the reviewed studies. RESULTS Of 522 citations reviewed, 43 studies met the inclusion criteria. A majority of the studies used electronic health records (24, 56%), followed by population-based data sources (15, 35%) and administrative claims data (4, 9%). The most common algorithms were tree-based methods (23, 53%), neural network (NN) (14, 33%), regularized logistic regression (12, 28%), and support vector machine (SVM) (10, 23%). Most of these studies (37, 85%) were of high quality. A majority of these studies (28, 65%) reported ML algorithms with an AUC above 0.70. There was a range of variability within AUC reported by these studies with a median of 0.68 (IQR: 0.64-0.76; range: 0.50-0.90). CONCLUSIONS The ML algorithms involving tree-based methods, NN, regularized logistic regression, and SVM are commonly used to predict hospital readmission in the US. Further research is needed to compare the performance of ML algorithms for hospital readmission prediction.
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Affiliation(s)
- Yinan Huang
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, 4849 Calhoun Road, Health & Sciences Bldg 2, Houston, TX, 77204, USA
| | - Ashna Talwar
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, 4849 Calhoun Road, Health & Sciences Bldg 2, Houston, TX, 77204, USA
| | - Satabdi Chatterjee
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, 4849 Calhoun Road, Health & Sciences Bldg 2, Houston, TX, 77204, USA
| | - Rajender R Aparasu
- Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, 4849 Calhoun Road, Health & Sciences Bldg 2, Houston, TX, 77204, USA.
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Pollifrone M, Callender L, Bennett M, Driver S, Petrey L, Hamilton R, Dubiel R. Predictors for 30-Day Readmissions After Traumatic Brain Injury. J Head Trauma Rehabil 2021; 36:E178-E185. [PMID: 33201037 DOI: 10.1097/htr.0000000000000630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To examine predictors for 30-day readmission post-onset of traumatic brain injury (TBI) after initial trauma hospitalization. DESIGN Retrospective cohort. PARTICIPANTS In total, 5284 patients with an acute TBI admitted from January 1, 2006, through December 31, 2015. METHODS Demographic and clinical data after initial TBI onset were extracted from the local trauma registry and matched with the Dallas-Fort Worth Hospital Council registry. Multiple logistic regression analysis was used to determine factors significantly associated with 30-day readmission. Top diagnosis codes for 30-day readmission were also described. RESULTS Patients were primarily male (64.6%), non-Hispanic White (47.6%), uninsured (35.4%), and aged 46.1 ± 23.3 years. In total, 448 patients (8.5%) had a 30-day readmission. Median cumulative charges for each readmitted subject was $34 313. Factors significantly associated with 30-day readmission were falling as the cause of injury, having increased Charlson Comorbidity Index and Injury Severity Score, and discharging to a skilled nursing facility or long-term acute care. Being uninsured was associated with decreased odds of a 30-day readmission. Top diagnosis codes among the readmission visits included cardiac codes (57.7%), fluid and acid-base disorders (54.8%), and hypertension (50.1%). CONCLUSION These data highlight those at risk for 30-day readmission across a diverse population of TBI at a large medical center. Interventions such as health literacy education or patient navigation may help mitigate 30-day readmission for at-risk patients.
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Affiliation(s)
- Maria Pollifrone
- Baylor Scott and White Institute for Rehabilitation, Dallas, Texas (Dr Pollifrone, Hamilton, and Dubiel); Baylor Scott and White Research Institute (Ms Callender and Dr Bennett), Dallas, Texas; Sports Therapy and Research, Baylor Scott and White Research, Frisco, Texas (Dr Driver); and Department of General Surgery, Baylor Scott and White University Medical Center, Dallas, Texas (Dr Petrey)
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Lu Y, Khazi ZM, Agarwalla A, Forsythe B, Taunton MJ. Development of a Machine Learning Algorithm to Predict Nonroutine Discharge Following Unicompartmental Knee Arthroplasty. J Arthroplasty 2021; 36:1568-1576. [PMID: 33358514 DOI: 10.1016/j.arth.2020.12.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 11/20/2020] [Accepted: 12/01/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Reliable and effective prediction of discharge destination following unicompartmental knee arthroplasty (UKA) can optimize patient outcomes and system expenditure. The purpose of this study is to develop a machine learning algorithm that can predict nonhome discharge in patients undergoing UKA. METHODS A retrospective review of a prospectively collected national surgical outcomes database was performed to identify adult patients who underwent UKA from 2015 to 2019. Nonroutine discharge was defined as discharge to a location other than home. Five machine learning algorithms were developed to predict this outcome. Performance of the algorithms was assessed through discrimination, calibration, and decision curve analysis. RESULTS Overall, of the 7275 patients included, 263 (3.6) patients were unable to return home upon discharge following UKA. The factors determined most important for identification of candidates for nonroutine discharge were total hospital length of stay, preoperative hematocrit, body mass index, preoperative sodium, American Society of Anesthesiologists classification, gender, and functional status. The extreme boosted model achieved the best performance based on discrimination (area under the curve = 0.875), calibration, and decision curve analysis. This model was integrated into a web-based open access application able to provide both predictions and explanations. CONCLUSION The present model can, following appropriate external validation, be used to augment clinician decision-making in patients undergoing elective UKA. Patients with high preoperative probabilities of nonroutine discharge based on nonmodifiable risk factors should be counseled to start the insurance authorization process with case management to avoid unnecessary inpatient stay, and those with modifiable risk can attempt prehabilitation to optimize these parameters before surgery.
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Affiliation(s)
- Yining Lu
- Department of Orthopedic Surgery and Sports Medicine, Mayo Clinic, Rochester, MI
| | - Zain M Khazi
- Department of Orthopaedic Surgery and Rehabilitation, Iowa University Hospitals and Clinics, Iowa City, IO
| | - Avinesh Agarwalla
- Department of Orthopaedic Surgery, Westchester Medical Center, Valhalla, NY
| | - Brian Forsythe
- Division of Orthopaedics, Midwest Orthopaedics at Rush, Rush University Medical Center, Chicago, IL
| | - Michael J Taunton
- Department of Orthopedic Surgery and Sports Medicine, Mayo Clinic, Rochester, MI
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Length of stay, readmission, and mortality after primary surgery for pediatric spinal deformities: a 10-year nationwide cohort study. Spine J 2021; 21:653-663. [PMID: 33429087 DOI: 10.1016/j.spinee.2021.01.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 12/01/2020] [Accepted: 01/04/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT Extended length of stay (extLOS) and unplanned readmissions after first time pediatric spinal deformity surgery are a considerable challenge to both the patient and the health-care system. To our knowledge, only a limited number of nationwide studies reporting short-term comorbidity with complete follow-up exist. PURPOSE The purpose of this study was to identify the postoperative complications leading to extLOS, readmissions, and mortality within 90 days after surgery. Furthermore, to identify risk factors for readmission. DESIGN Retrospective national cohort study. PATIENT SAMPLE A nationwide registry study including all pediatric spinal deformity patients (≤21 years of age) undergoing primary surgery during 2006-2015 (n=1,310). OUTCOME MEASURES Reasons for extLOS and 90-day readmissions as well as mortality risk. METHODS Patients were identified by procedure and diagnosis codes in the Danish National Patient Registry (DNPR). Data on length of stay (LOS), readmissions, and mortality within 90 days were retrieved from the DNPR. Patients were categorized in six groups according to etiology. Reasons for extLOS and readmission were collected from medical records and discharge summaries. RESULTS For the 1,310 patients, the median LOS was 8 days (interquartile range 7-9). Etiologies were idiopathic deformity (53%), neuromuscular deformity (23%), congenital/structural deformity (9%), spondylolisthesis (7%), Scheuermann kyphosis (5%), and syndromic deformity (3%). A total of 274 (21%) patients had extLOS and the most common reason was pain/mobilization issues but with considerable variation between etiologies; Scheuermann kyphosis (91%), idiopathic (59%), syndromic (44%), spondylolisthesis (38%), and congenital (30%). Pulmonary complications were the primary reason for extLOS in the neuromuscular group (22%). The 90-day readmission rate was 6%; 67% of readmissions were medical, mainly infections unrelated to the surgical site (23%); 33% of readmissions were surgical and 14% of patients required revision surgery. Neuromuscular deformity, spondylolisthesis, Scheuermann kyphosis, and LOS >9 days were independent risk factors for readmission; odds ratio (OR) 4.4 (95% confidence interval: 2.2-9.1, p<.01), OR 3.0 (1.1-8.0, p=.03), OR 4.9 (1.7-13.6, p<.01), and OR 1.8 (1.0-3.1, p=.04), respectively. The 90-day mortality risk was 0.4%. CONCLUSIONS In this nationwide cohort, pain/mobilization issues are the most common reason for extLOS. The most common reason for readmission is infection unrelated to the surgical site. Readmission after pediatric spinal surgery is related to the etiology and increased focus on patients operated for neuromuscular deformity, spondylolisthesis and Scheuermann kyphosis is warranted.
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Winter E, Detchou DK, Glauser G, Strouz K, McClintock SD, Marcotte PJ, Malhotra NR. Predicting patient outcomes after far lateral lumbar discectomy. Clin Neurol Neurosurg 2021; 203:106583. [PMID: 33684675 DOI: 10.1016/j.clineuro.2021.106583] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/16/2021] [Accepted: 02/27/2021] [Indexed: 11/17/2022]
Abstract
INTRODUCTION The LACE+ (Length of Stay, Acuity of Admission, Charlson Comorbidity Index (CCI) Score, Emergency Department (ED) visits within the previous 6 months) index has never been tested in a purely spine surgery population. This study assesses the ability of LACE + to predict adverse patient outcomes following discectomy for far lateral disc herniation (FLDH). PATIENTS AND METHODS Data were obtained for patients (n = 144) who underwent far lateral lumbar discectomy at a single, multi-hospital academic medical center (2013-2020). LACE + scores were calculated for all patients with complete information (n = 100). The influence of confounding variables was assessed and controlled with stepwise regression. Logistic regression was used to test the ability of LACE + to predict risk of unplanned hospital readmission, ED visits, outpatient office visits, and reoperation after surgery. RESULTS Mean age of the population was 61.72 ± 11.55 years, 69 (47.9 %) were female, and 126 (87.5 %) were non-Hispanic white. Patients underwent either open (n = 92) or endoscopic (n = 52) surgery. Each point increase in LACE + score significantly predicted, in the 30-day (30D) and 30-90-day (30-90D) post-discharge window, higher risk of readmission (p = 0.005, p = 0.009; respectively) and ED visits (p = 0.045). Increasing LACE + also predicted, in the 30D and 90-day (90D) post-discharge window, risk of reoperation (p = 0.022, p = 0.016; respectively), and repeat neurosurgical intervention (p = 0.026, p = 0.026; respectively). Increasing LACE + score also predicted risk of reoperation (p = 0.011) within 30 days of initial surgery. CONCLUSIONS LACE + may be suitable for characterizing risk of adverse perioperative events for patients undergoing far lateral discectomy.
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Affiliation(s)
- Eric Winter
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Donald K Detchou
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Gregory Glauser
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Krista Strouz
- McKenna EpiLog Fellowship in Population Health, at the University of Pennsylvania, Philadelphia, PA, USA
| | - Scott D McClintock
- West Chester University, The West Chester Statistical Institute and Department of Mathematics, 25 University Ave, West Chester, PA, USA
| | - Paul J Marcotte
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Neil R Malhotra
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; McKenna EpiLog Fellowship in Population Health, at the University of Pennsylvania, Philadelphia, PA, USA.
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Joury A, Bob-Manuel T, Sanchez A, Srinithya F, Sleem A, Nasir A, Noor A, Penfold D, Bober R, Morin DP, Krim SR. Leadless and Wireless Cardiac Devices: The Next Frontier in Remote Patient Monitoring. Curr Probl Cardiol 2021; 46:100800. [PMID: 33545511 DOI: 10.1016/j.cpcardiol.2021.100800] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 01/14/2021] [Indexed: 12/31/2022]
Abstract
In the last decade, advances in wireless and sensor technologies, and the implementation of telemedicine, have led to innovative digital health care for cardiac patients. Continuous monitoring of patients' biomedical signals, and acute changes in these signals, may result in timely, accurate diagnoses and implementation of early interventions. In this review, we discuss commonly used wireless and leadless cardiac devices including pulmonary artery pressure sensors, implantable loop recorders, leadless pacemakers and subcutaneous implantable cardioverter-defibrillators. We discuss the concept and function of each device, indications, methods of delivery, potential complications, consideration for implantation, and cost-effectiveness.
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Affiliation(s)
- Abdulaziz Joury
- John Ochsner Heart and Vascular Institute, Ochsner Medical Center, New Orleans, LA
| | | | - Alexandra Sanchez
- John Ochsner Heart and Vascular Institute, Ochsner Medical Center, New Orleans, LA
| | - Fnu Srinithya
- John Ochsner Heart and Vascular Institute, Ochsner Medical Center, New Orleans, LA
| | - Amber Sleem
- Division of Internal Medicine, Ochsner Medical Center, New Orleans, LA
| | - Ayman Nasir
- John Ochsner Heart and Vascular Institute, Ochsner Medical Center, New Orleans, LA
| | - Abdullah Noor
- Division of Internal Medicine, Ochsner Medical Center, New Orleans, LA
| | - Dana Penfold
- Division of Internal Medicine, Ochsner Medical Center, New Orleans, LA
| | - Robert Bober
- John Ochsner Heart and Vascular Institute, Ochsner Medical Center, New Orleans, LA; The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, LA
| | - Daniel P Morin
- John Ochsner Heart and Vascular Institute, Ochsner Medical Center, New Orleans, LA; The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, LA
| | - Selim R Krim
- John Ochsner Heart and Vascular Institute, Ochsner Medical Center, New Orleans, LA; Section of Cardiomyopathy & Heart Transplantation, John Ochsner Heart and Vascular Institute, Ochsner Clinic Foundation, New Orleans, LA; The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, LA.
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