Background: There are few studies on the role of long-term glycemic variability in complications of type 1 diabetes (T1D). This study was aimed to investigate the associations of HbA1c variability represented by the coefficient of variation of HbA1c with incident microvascular complications in T1D by analyzing the data set from the DCCT/EDIC study.
Methods: Patients (n = 1240) were divided into four groups by HbA1c variability quartiles. Incident microvascular complications were assessed for a duration of an average of 20.5 years. Multivariable models were performed to examine the associations between HbA1c variability and incident microvascular complications.
Results: All incident microvascular complications were higher in the fourth quartile of the HbA1c variability group. After adjusting for clinical risk factors, HbA1c variability was positively associated with a higher risk of all diabetic microvascular complications ( < .05). Specifically, it had 1.125 (1.082-1.170), 1.114 (1.074-1.154), 1.061 (1.024-1.099), or 1.088 (1.052-1.125) times higher odds (95% confidence interval [CI]) of having retinopathy, nephropathy, clinical neuropathy, or autonomic neuropathy, independent of mean HbA1c values ( < .05). Furthermore, there were higher incident microvascular complications with higher HbA1c variability when HbA1c value was above the group median of 7.9%, while only higher incident autonomic neuropathy with higher HbA1c variability when HbA1c was below the group median.
Conclusions: Our results showed a significant independent association between HbA1c variability and the risk of microvascular complications in T1D. HbA1c variability might be a supplemental risk stratification tool to mean HbA1c for microvascular complications in T1D.
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http://dx.doi.org/10.1177/19322968221100833 | DOI Listing |
JACC Asia
December 2024
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
Diabetes Res Clin Pract
January 2025
Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK; Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK.
Aims: Do associations between age at diagnosis of type 2 diabetes and vascular risk factors vary by ethnicity and deprivation?
Methods: Utilising the Clinical Practice Research Datalink, we matched 16-50-year-old individuals with newly diagnosed type 2 diabetes to ∼10 individuals without using sex, age and primary care practice. Differences in BMI, obesity, LDL-cholesterol, HbA1c, and hypertension between individuals with vs without type 2 diabetes across sex, age, ethnicity and deprivation quintiles were explored using generalised linear models.
Results: We included 108,061 individuals (45.
J Clin Med
December 2024
Wessex Cardiothoracic Centre, Division of Cardiac Surgery, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Perioperative dysglycaemia in cardiac surgery is associated with poor outcomes. Glycaemic variability rather than glucose levels is a predictor of the length of an ICU stay, a rise in creatinine and acute kidney injury after cardiac surgery. Glycated haemoglobin (HbA) values correspond closely to average blood glucose levels and cut-off values can be used to define a diabetic and pre-diabetic status.
View Article and Find Full Text PDFNutrients
December 2024
Department of Endocrinology and Nutrition, Virgen de la Victoria Hospital University Hospital, 29010 Málaga, Spain.
Background And Objectives: the COVID-19 pandemic underscored the necessity of understanding the factors influencing susceptibility and disease severity, as well as a better recovery of functional status, especially in postcritical patients. evidence regarding the efficacy of vitamin D supplementation in reducing the severity of COVID-19 is still insufficient due to the lack of primary robust trial-based data and heterogeneous study designs. the principal aims of our study were to determine the impact of vitamin D deficiency or insufficiency on complications during intensive care unit (icu) stay, as well as its role in muscle mass and strength improvement as well as morphofunctional recovery during a multispecialty 6-month follow-up program based on adapted nutritional support and specific physical rehabilitation.
View Article and Find Full Text PDFActa Diabetol
January 2025
1st Paediatric Department, School of Medicine, Faculty of Health Sciences, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Aims: To assess the efficacy and safety of automated insulin delivery (AID) systems compared to standard care in managing glycaemic control during pregnancy in women with Type 1 Diabetes Mellitus (T1DM).
Methods: We searched MEDLINE, Cochrane Library, registries and conference abstracts up to June 2024 for randomized controlled trials (RCTs) and observational studies comparing AID to standard care in pregnant women with T1DM. We conducted random effects meta-analyses for % of 24-h time in range of 63-140 mg/dL (TIR), time in hyperglycaemia (> 140 mg/dl and > 180 mg/dL), hypoglycaemia (< 63 mg/dl and < 54 mg/dL), total insulin dose (units/kg/day), glycemic variability (%), changes in HbA1c (%), maternal and fetal outcomes.
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