ArticleDiabetes, obesity & metabolism2020
Greater variability in lipid measurements associated with cardiovascular disease and mortality: A 10-year diabetes cohort study.
Article in Diabetes, obesity & metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Efficacy and safety of variable-dose metformin as adjunctive therapy to insulin in adolescents with type 1 diabetes mellitus: a systematic review and network meta-analysis.BMC endocrine disorders · 2025Pooled it
- Lipid variability and risk of microvascular complications in patients with diabetes: a systematic review and meta-analysis.BMC endocrine disorders · 2024Pooled it
- Lipid Variability and Risk of Cardiovascular Diseases and All-Cause Mortality: A Systematic Review and Meta-Analysis of Cohort Studies.Nutrients · 2022Pooled it
- The Effect of Berberine on Metabolic Profiles in Type 2 Diabetic Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Oxidative medicine and cellular longevity · 2021Pooled it
- Refined obesity, smoking exposure, and lipid metrics in mortality risk assessment: a nationwide cohort analysis.PloS one · 2026Article
- Review
- The association of the non-HDL-cholesterol to HDL-cholesterol ratio (NHHR) with obstructive sleep apnea among adults aged ≥ 40 years: results from NHANES 2015-2018.BMC public health · 2025Article
- Long-term dual-trajectories of TyG and LAP and their association with cardiometabolic multimorbidity in midlife: the CARDIA study.Cardiovascular diabetology · 2025Article
- The prognostic association of triglyceride-glucose index and its derived indicators with stable coronary artery disease patients undergoing percutaneous coronary intervention.Frontiers in endocrinology · 2025Article
- PowerAI-Diabetes: Review of glycemic and lipid variability to predict cardiovascular events in Chinese diabetic population.npj metabolic health and disease · 2024Review
- Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts.Scientific reports · 2024Article
- Lipid Swings Provoke Vascular Inflammation.Endocrinology and metabolism (Seoul, Korea) · 2024Article
- Association Between Nutrients and Cardiovascular Diseases.Current cardiology reviews · 2024Review
- Changes in the exposure to cardiovascular disease risk factors in an 18 year follow-up study of a cohort of middle age urban residents. The Polish arm of the HAPIEE study.Cardiology journal · 2024Article
- Article
- The LDL-C/ApoB ratio predicts cardiovascular and all-cause mortality in the general population.Lipids in health and disease · 2023Article
- Effects of metabolic parameters' variability on cardiovascular outcomes in diabetic patients.Cardiovascular diabetology · 2023Article
- Article
- Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records.International journal of epidemiology · 2022Article
- Comparison of the effects of triglyceride variability and exposure estimate on clinical prognosis in diabetic patients.Cardiovascular diabetology · 2022Article
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
Abstract
aimTo examine the associations between variability in lipids and the risk of cardiovascular disease (CVD) and mortality in patients with type 2 diabetes based on low-density lipoprotein-cholesterol (LDL-C), the total cholesterol (TC) to high-density lipoprotein-cholesterol (HDL-C) ratio and triglycerides (TG). MATERIALS AND
methodsA retrospective cohort study included 125 047 primary care patients with type 2 diabetes aged 45-84 years without CVD during 2008-2012. The variability of LDL-C, TC to HDL-C and TG was determined using the standard deviation of variables in a mixed effects model to minimize regression dilution bias. The associations between variability in lipids and CVD and mortality risk were assessed by Cox regression. Subgroup analyses based on patients' baseline characteristics were also conducted.
resultsA total of 19 913 CVD events and 15 329 mortalities were recorded after a median follow-up period of 77.5 months (0.8 million person-years), suggesting a positive linear relationship between variability in lipids and the risk of CVD and mortality. Each unit increase in the variability of LDL-C (mmol/L), the TC to HDL-C ratio and TG (mmol/L) was associated with a 27% (HR: 1.27 [95% CI: 1.20-1.34]), 31% (HR:1.31 [95% CI: 1.25-1.38]) and 9% (HR: 1.09 [95% CI: 1.04-1.15]) increase in the risk of composite endpoint of CVD and mortality, respectively. Age-specific effects were also found when comparing LDL-C variability, with patients aged 45-54 years (HR: 1.70 [95% CI: 1.42-2.02]) exhibiting a 53% increased risk for the composite endpoints than those aged 75-84 years (HR: 1.11 [95% CI: 1.01-1.23]). Similar age effects were observed for both the TC to HDL-C ratio and TG variability. Significant associations remained consistent among most of the subgroups.
conclusionsVariability in respective lipids are significant factors in predicting CVD and mortality in primary care patients with type 2 diabetes, with the strongest effects related to LDL-C and the TC to HDL-C ratio and most significant in the younger age group of patients aged 45-54 years. Further study is warranted to confirm these findings.
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