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Mean and visit-to-visit variability of glycemia and left ventricular diastolic dysfunction: A longitudinal analysis of 3025 adults with serial echocardiography

  • Sungkyunkwan University
  • Hanyang University

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: We aimed to determine the mean glucose thresholds to increase the risk of left ventricular diastolic dysfunction (LVDD) and whether visit-to-visit variability of fasting plasma glucose (FPG) and glycated hemoglobin (A1C) could independently increase the risk in a cohort with serial echocardiography. Methods: This was a 3.5-year (range, 0.5–8.3) retrospective longitudinal cohort study of 3025 adults (age, 55.15 ± 7.6 years; without diabetes, n = 2755) with LV ejection fraction > 50% by serial echocardiography between 2006 and 2016. Mean, standard of deviation (SD) and coefficient of variation (CV) of FPG and A1C obtained from three consecutive measurements preceding the first echocardiography. The definition of LVDD in this study was primarily based on early peak mitral inflow velocity and early diastolic mitral annulus motion velocity. Results: LVDD developed in 611/3025 subjects (20.2%). Cox proportional hazard models showed increased adjusted hazard ratios (HRs) for incident LVDD in the highest quartile of FPG-mean (HR 1.76, 95% confidence interval [CI]; 1.36–2.30), FPG-SD (HR 1.63, 95% CI; 1.27–2.09), FPG-CV (HR 1.47, 95% CI; 1.15–1.89), and A1C-mean (HR 1.83, 95% CI; 1.41–2.38) versus the lowest quartile, which was consistent even in subjects without diabetes. Mean glucose thresholds for the increased risk were below the lower limits for pre-diabetes. Conclusions: In terms of mean glycemia, LVDD may be initiated in the earliest diabetic continuum, and such changes could be measurable within several years. Visit-to-visit variability of FPG, but not that of A1C, predicted accelerated development of LVDD.

Original languageEnglish
Article number154451
JournalMetabolism: Clinical and Experimental
Volume116
DOIs
StatePublished - Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Dysglycemia
  • Left ventricular diastolic dysfunction
  • Pre-diabetes
  • Subclinical myocardial dysfunction
  • Visit-to-visit glycemic variability

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