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Background: Glycaemic variability and body composition are emerging predictors of cardiovascular disease (CVD) in patients with Type 2 diabetes mellitus (T2DM); however, their combined impact remains unclear. We investigated the association among HbA1c variability, body composition parameters and cardiovascular outcomes in adults with T2DM.
Methods: This retrospective cohort study analysed electronic health records from a university hospital (2011-2020), including 8224 adults (mean age 58.3 years, 50.1% women) with T2DM and no history of CVD. HbA1c variability score (HVS) was defined as the percentage of successive measurements differing by ≥ 0.5% (5.5 mmol/mol). Body composition was assessed by bioimpedance analysis. The primary outcome was incident CVD (ischemic heart disease, heart failure, atrial fibrillation, stroke, myocardial infarction).
Results: During median follow-up of 4.0 years, patients with high HVS (third tertile) showed significantly increased CVD risk compared to low HVS (first tertile) (adjusted hazard ratio [aHR] 1.70 [95% CI 1.13-2.40]; p < 0.010). HbA1c variability demonstrated superior cardiovascular risk prediction over fasting and postprandial glucose variability. Individuals with high HVS had significantly higher systolic blood pressure (122.72 ± 14.96 vs. 120.53 ± 14.52 mmHg, p = 0.017), HbA1c (7.72% ± 1.75% vs. 7.02% ± 1.09%, p < 0.001) and lower skeletal muscle mass (24.60 ± 5.73 vs. 25.85 ± 7.84 kg, p < 0.001). Higher appendicular skeletal muscle mass was protective against CVD (aHR 0.75 [95% CI 0.63-0.88]), while increased total fat percentage elevated CVD risk (aHR 1.10 [95% CI 1.03-1.20]). HVS correlated positively with changes in total fat percentage (β = 0.439, p < 0.001) and negatively with changes in relative appendicular skeletal muscle mass (β = -0.258, p < 0.001). In multivariate analysis, significant contributors to increased CVD risk included high HVS (aHR 1.65, p = 0.011), elevated average HbA1c (aHR 1.09, p = 0.016) and age over 65 years (aHR 1.61, p = 0.035).
Conclusions: HbA1c variability and body composition independently predicted cardiovascular outcomes in patients with T2DM. Higher HbA1c variability increased CVD risk by 70%, while higher appendicular muscle mass reduced risk by 25%, and higher total fat percentage increased risk by 10%. Incorporating these parameters into risk stratification models could enhance cardiovascular risk prediction and guide preventive strategies for diabetes management.
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http://dx.doi.org/10.1002/jcsm.70028 | DOI Listing |
Abdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFEur J Heart Fail
September 2025
Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, TX, USA.
Aims: Obesity is commonly hypothesized to lead to the development of heart failure (HF) in part due to increases in blood volume (BV) and left ventricular (LV) remodelling. Whether adiposity and obesity severity are associated with BV expansion and subsequent LV remodelling in middle-aged individuals at increased risk (IR) prior to the onset of HF is unknown.
Methods And Results: We analysed data from 96 middle-aged (40-64 years) non-obese (25.
Pediatr Pulmonol
September 2025
Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, University of Minnesota, Minneapolis, Minnesota, USA.
Background: The approval of cystic fibrosis transmembrane conductance regulator modulators elexacaftor/tezacaftor/ivacaftor (ETI), has significantly improved pulmonary function for people with cystic fibrosis (pwCF). However, the effects on CF-related bone disease and body composition remain unclear.
Methods: This retrospective real-world study examined adults with CF who received ETI treatment.
Int J Environ Health Res
September 2025
Unidad Interinstitucional de Investigación Clínica y Epidemiológica, Facultad de Medicina, Universidad Autónoma de Yucatán, Mérida, México.
The human microbiota consists of millions of microorganisms, predominantly bacteria, that inhabit the body and form communities. Each human body site has a unique population that is specifically adapted to complement the metabolic functions of the environments in which they are present. These microbial communities begin to form at birth, with their primary establishment occurring during the early years of childhood and persisting in adulthood.
View Article and Find Full Text PDFJ Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
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