Diabetic ketoacidosis (DKA) is a life-threatening complication of type 1 diabetes mellitus.

This study aimed to determine (1) whether DKA at diagnosis of type 1 diabetes is associated with poorer long-term glycemic control and (2) whether there are confounding factors which may impact the mode of presentation of type 1 diabetes mellitus or subsequent glycemic control.

This study was conducted via review of 102 patient files extracted from the Young Person's Type 1 Diabetes Clinic at Cork University Hospital. Glycemic control was measured using the average of the patient's three most recent HbA1C levels, recorded a median of 11 years post-diagnosis of type 1 diabetes mellitus.

Data analysis revealed a positive association between DKA at diagnosis and poorer long-term glycemic control, with HbA1c levels tracking 6.58 mmol/mol (0.6%) higher at follow up in the group with DKA compared to the group without DKA at diagnosis. Certain sociodemographic factors were found to predict worse glycemic control at follow-up: Individuals using recreational drugs and those reporting mental health difficulties were found to have higher levels of HbA1C at follow up (p = ·006,·012, respectively) compared to individuals who did not.

Diabetic ketoacidosis at diagnosis of type 1 diabetes mellitus was shown to be associated with poorer long-term glycemic control in this study. Furthermore, individuals who utilize recreational drugs or have mental health difficulties had significantly worse glycemic control at follow-up.

Double tract reconstruction (DTR) is the main digestive tract reconstruction method after proximal gastrectomy (PG). Single tract jejunal interposition (STJI) derived from the double tract reconstruction is also increasingly used in clinical practice. However, there is still a great controversy as to which of the two reconstruction methods can achieve better results. In this study, we systematically reviewed studies on DTR and STJI after PG and performed a meta-analysis. We searched PubMed, Embase, and Cochrane Library databases for clinical studies comparing DTR and STJI after PG to December 2021 without language restriction. Review Manager (version5.4) software was used to perform meta-analysis on operative outcomes, postoperative complications and nutritional outcomes. The protocol for this meta-analysis was registered with PROSPERO (CRD42022301455). Five randomized controlled trials involving 453 patients were included in the meta-analysis. There were no significant differences between DTR and STJI in terms of intraoperative blood loss, postoperative hospital stay, incidence of reflux esophagitis, anastomotic complications and total complications. The operation time of STJI group was longer than that of DTR group [WMD - 0.79; 95% CI (- 1.55, - 0.03)] [heterogeneity: χ² = 4.94, df = 3 (P = 0.18); I² = 39%, test for overall effect: Z = 2.04 (P = 0.04)]. The body weight of STJI group was significantly higher than that of DTR group at 6 months after surgery [WMD 3.90; 95% CI (0.56, 7.23)] [heterogeneity: τ² = 7.67, χ² = 19.76, df = 2 (P < 0.0001); I² = 90%, test for overall effect: Z = 2.29 (P = 0.02)]. To the best of our knowledge, this is the first systematic review and meta-analysis to compare the outcomes of DTR and STJI after PG. There were no significant differences in operative outcomes and postoperative complications between DTR and STJI after PG. Although STJI prolonged the operation time compared to DTR, postoperative nutritional outcomes of patients in the STJI group was significantly better than that in the DTR group. Therefore, compared to DTR, STJI may be more suitable for the vast majority of patients undergoing PG due to its better postoperative nutritional status.

Few studies have evaluated the impact of diabetic ketoacidosis (DKA) at diabetes onset on long-term glycemic control in patients with type 1 diabetes (T1D).

We aimed to determine any differences in long-term glycemic control between children/adolescents with T1D presenting with DKA at diabetes onset and those without.

This retrospective study comprised 335 patients diagnosed with T1D from September 2007 to December 2012, among which 132 (39.4%) presented with DKA. Variables compared between patients with DKA at onset and those without: yearly hemoglobin A1c (HbA1c) levels, daily insulin dose, yearly rates of severe hypoglycemia and DKA, percent of patients achieving target HbA1c levels.

After the first year of diabetes, the mean daily insulin dose and HbA1c level were significantly higher in the group with DKA at onset (0.74 ± 0.26 vs 0.69 ± 0.27 units/kg/d, P = .049, and 7.85 ± 1.13% vs 7.49 ± 0.94%, P = .01, respectively), despite similarity of therapy (multiple daily injections or continuous subcutaneous insulin infusion), with a similar but not statistically significant trend subsequently. Mean HbA1c since onset was significantly higher in the DKA group (8.08 ± 0.95% vs 7.86 ± 0.95%, P = .025). A significantly higher percentage of patients in the group without DKA at onset achieved a mean level of HbA1c since onset within glycemic targets (32% vs 20.5%, P = .02). In the DKA group, the frequency of subsequent DKA episodes per diabetes years was significantly higher (P = .042).

DKA at diagnosis was associated with less favorable long-term glycemic control as assessed by HbA1c and the rate of DKA episodes. T1D patients presenting with DKA may therefore need stricter treatment and tight follow-up.

Diabetes increases the risk of Cardio-vascular disease (CVD). CVD is more prevalent in type 2 diabetes (T2D) than type 1 diabetes (T1D), but the mortality risk is higher in T1D than in T2D. The pathophysiology of CVD in T1D is poorly defined. To learn more about biological pathways that are potentially involved in T1D with cardiac dysfunction, we sought to identify differentially expressed genes in the T1D heart. Our study used T1D mice with severe hyperglycemia along with significant deficits in echocardiographic measurements. Microarray analysis of heart tissue RNA revealed that the T1D mice differentially expressed 10 genes compared to control. Using Ingenuity Pathway Analysis (IPA), we showed that these genes were significantly involved in ketogenesis, cardiovascular disease, apoptosis and other toxicology functions. Of these 10 genes, the 3-Hydroxy-3-Methylglutaryl-CoA Synthase 2 (HMGCS2) was the highest upregulated gene in T1D heart. IPA analysis showed that HMGCS2 was center to many biological networks and pathways. Our data also suggested that apart from heart, the expression of HMGCS2 was also different in kidney and spleen between control and STZ treated mice. In conclusion, The HMGCS2 molecule may potentially be involved in T1D induced cardiac dysfunction.

Diets that boost ketone production are increasingly used for treating several neurological disorders. Elevation in ketones in most cases is considered favorable, as they provide energy and are efficient in fueling the body's energy needs. Despite all the benefits from ketones, the above normal elevation in the concentration of ketones in the circulation tend to illicit various pathological complications by activating injurious pathways leading to cellular damage. Recent literature demonstrates a plausible link between elevated levels of circulating ketones and oxidative stress, linking hyperketonemia to innumerable morbid conditions. Ketone bodies are produced by the oxidation of fatty acids in the liver as a source of alternative energy that generally occurs in glucose limiting conditions. Regulation of ketogenesis and ketolysis plays an important role in dictating ketone concentrations in the blood. Hyperketonemia is a condition with elevated blood levels of acetoacetate, 3-β-hydroxybutyrate, and acetone. Several physiological and pathological triggers, such as fasting, ketogenic diet, and diabetes cause an accumulation and elevation of circulating ketones. Complications of the brain, kidney, liver, and microvasculature were found to be elevated in diabetic patients who had elevated ketones compared to those diabetics with normal ketone levels. This review summarizes the mechanisms by which hyperketonemia and ketoacidosis cause an increase in redox imbalance and thereby increase the risk of morbidity and mortality in patients.

Greater glycemic variability and lack of predictability are important issues for patients with type 1 diabetes. Dietary factors are one of the contributors to this variability, but how closely diet is linked to glycemic fluctuation on a daily basis has not been investigated. We examined the association between carbohydrate intake and glycemic excursion in outpatients.

A total of 33 patients with type 1 diabetes were included in the analyses (age 44.5 ± 14.7 years, diabetes duration 15.1 ± 8.3 years, 64% female, 30% using insulin pump, glycated hemoglobin 8.1 ± 1.3%). Time spent in euglycemia (70-180 mg/dL), hyperglycemia (>180 mg/dL) and hypoglycemia (<70 mg/dL) of consecutive 48-h periods of continuous glucose monitoring data were collected together with simultaneous records of dietary intake, insulin dose and physical activity. Correlation analyses and multiple regression analyses were used to evaluate the contribution of carbohydrate intake to time spent in the target glycemic range.

In multiple regression analyses, carbohydrate intake (β = 0.53, P = 0.001), basal insulin dose per kg per day (β = -0.31, P = 0.034) and diabetes duration (β = 0.30, P = 0.042) were independent predictors of time spent in euglycemia. Carbohydrate intake (β = -0.51, P = 0.001) and insulin pump use (β = -0.34, P = 0.024) were independent predictors of time spent in hyperglycemia. Insulin pump use (β = 0.52, P < 0.001) and bolus insulin dose per kg per day (β = 0.46, P = 0.001) were independent predictors of time spent in hypoglycemia.

Carbohydrate intake is associated with time spent in euglycemia in patients with type 1 diabetes.

Diabetes is associated with a two to three-fold increase in risk of cardiovascular disease. However, intensive glucose-lowering therapy aiming at reducing HbA1c to a near-normal level failed to suppress cardiovascular events in recent randomized controlled trials. HbA1c reflects average glucose level rather than glycemic variability. In in vivo and in vitro studies, glycemic variability has been shown to be associated with greater reactive oxygen species production and vascular damage, compared to chronic hyperglycemia. These findings suggest that management of glycemic variability may reduce cardiovascular disease in patients with diabetes; however, clinical studies have shown conflicting results. This review summarizes the current knowledge on glycemic variability and oxidative stress, and discusses the clinical implications.

Hemoglobin A1c (HbA1c) levels have been shown to worsen in adolescence and be related to long-term diabetes complications. Although categories of diabetes control (e.g., ideal, satisfactory, and poor) are routinely used in clinical practice, research has not fully explored whether these categories meaningfully distinguish between different self-management characteristics.

This study examines potential differences in self-management characteristics for youths and their caregivers for three different categories of diabetes control (e.g., ideal, satisfactory, and poor control).

A total of 69 adolescents (35 M/34 F) with type 1 diabetes mellitus (T1DM) (aged 12-17 yr) and their caregivers completed questionnaires of readiness to change the balance of responsibility for diabetes tasks, family responsibility in diabetes management, and self-efficacy for diabetes. A medical record review yielded demographic information, most recent HbA1c level, and health care utilization over the past year.

Youths in the three different categories of diabetes control demonstrated no significant differences on measures of self-management characteristics. Maternal caregivers from the satisfactory control category and youths in the poor control category demonstrated the most consistent responses across various self-management characteristics.

Youths classified in different categories of glycemic control may not be as different in their self-management characteristics as was presumed. Moreover, associations among self-management characteristics were not universal across responders. Therefore, individual assessments of youths' and caregivers' self-management characteristics need to occur independent of the youths' membership in a certain category of diabetes control.