Observational studyCardiovascular diabetology2024
Hemoglobin A1c and abdominal obesity as predictors of diabetes and ASCVD in individuals with prediabetes in UK Biobank: a prospective observational study.
Observational study in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Predicting lower extremity deep vein thrombosis in elderly patients with hip fracture: A machine learning model with emphasis on diabetes as a key risk factor.Experimental and therapeutic medicine · 2026Article
- Comparative prognostic value of TyG index and TyG-BMI for 90-day all-cause mortality in critically ill older adults with ASCVD: a machine learning analysis of the MIMIC-IV database.Cardiovascular diabetology · 2026Article
- LDL-C combined with Chinese visceral adiposity index as a risk stratification tool for cardiometabolic multimorbidity in middle-aged and older Chinese adults: a national prospective cohort study.Cardiovascular diabetology · 2026Article
- Prognostic stratification of cardiovascular risk and cardiac remodeling in prediabetes: a multimodal analysis comparing ADA and WHO/IEC diagnostic criteria.Cardiovascular diabetology · 2026Observational
- Hemoglobin A1c-systolic blood pressure index as a novel predictor of cardiovascular disease: evidence from three prospective cohorts.Frontiers in endocrinology · 2026Article
- Association between triglyceride-glucose index combined with a body shape index and atherosclerotic cardiovascular disease risk varies by glycemic status: insights from the UK Biobank.Cardiovascular diabetology · 2025Article
- Using unsupervised machine learning methods to cluster cardio-metabolic profile of the middle-aged and elderly Chinese with general and central obesity.BMC cardiovascular disorders · 2025Article
- Daily low dose aspirin halves incident type 2 diabetes in elderly subjects with prediabetes: a five-year longitudinal cohort study in a real-word population.Cardiovascular diabetology · 2025Observational
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Authors and funding
5 authors.
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Abstract
objectivesWhether "prediabetes" merits particular clinical attention beyond the management of associated risk factors is controversial, particularly given the expansion of the definition of prediabetes from HbA1c 6.0-6.4% to 5.7-6.4%. Accordingly, we compared the risk of atherosclerotic cardiovascular disease (ASCVD) and type II diabetes mellitus (DM) risk in male and female participants with prediabetes and HbA1c 5.7-6.0% (low) versus 6.1-6.4% (high) to examine whether preventive recommendations should prioritize treating blood sugar or obesity, the major determinants of risk of DM versus other causes of ASCVD, such as lipids and blood pressure. RESEARCH DESIGN AND
methods10-year risks of ASCVD and DM risk were determined separately in 296,470 women and men, age 40-73, from UK Biobank, free of ASCVD and DM at baseline. Cox proportional hazards regression with adjustment for conventional risk factors and Kaplan-Meier estimators were used with low (HbA1c 5.7-6.0%) and high prediabetes (HbA1c 6.1-6.4%) as primary exposuress with further stratification and adjustment for waist circumference.
resultsIn multivariate-adjusted models, low and high prediabetes was associated with increased risk of ASCVD versus normal HbA1c in both women (HR = 1.08, 95% CI 1.01,1.15 in low prediabetes and 1.25, 95% CI 1.14,1.38 in high prediabetes) and men (HR = 1.18, 95%CI 1.11,1.24 in low prediabetes and 1.27, 95% CI 1.17,1.38 in high prediabetes). The associations with new onset DM were substantially more potent, achieving HR of 4.05, 95%CI 3.73,4.40 in low prediabetic women versus 14.22, 95% CI 13.06,15.49 in high pre-diabetic women and 4.45, 95% CI 4.12,4.80 in low prediabetic men versus 15.59, 95% CI 14.43,16.85 in high pre-diabetic men. Furthermore, increasing waist circumference in low prediabetic men and all prediabetic women was associated with meaningful increase in DM risk.
conclusionsThe risks of progression to both new onset DM and ASCVD are significantly greater in the prediabetic population. This underscores the importance of preventing the development of DM and efforts to reduce cardiometabolic risk through optimizing multiple risk factors in both categories of prediabetes. Risk modification by waist circumference suggests weight and glucose lowering therapies should be targeted at those with highest risks.
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