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Risk stratification of cardiac arrhythmias and sudden cardiac death in type 2 diabetes mellitus patients receiving insulin therapy: A population‐based cohort study

Lee, Sharen, Jeevaratnam, Kamalan, Liu, Tong, Chang, Dong, Chang, Carlin, Wong, Wing Tak, Wong, Ian Chi Kei, Lip, Gregory Y. H., Tse, Gary (2021) Risk stratification of cardiac arrhythmias and sudden cardiac death in type 2 diabetes mellitus patients receiving insulin therapy: A population‐based cohort study. Clinical Cardiology, 44 (11). pp. 1602-1612. ISSN 0160-9289. (doi:10.1002/clc.23728) (KAR id:98735)

Abstract

Introduction

Metabolic abnormalities may exacerbate the risk of adverse outcomes in patients with type 2 diabetes mellitus. The present study aims to assess the predictive value of HbA1c and lipid variability on the risks of sudden cardiac death (SCD) and incident atrial fibrillation (AF).

Methods

The retrospective observational study consists of type 2 diabetic patients prescribed with insulin, who went to publicly funded clinics and hospitals in Hong Kong between January 1, 2009 and December 31, 2009. Variability in total cholesterol, low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), triglyceride, and HbA1c were assessed through their SD and coefficient of variation. The primary outcomes were incident (1) ventricular tachycardia/ventricular fibrillation, actual or aborted SCD and (2) AF.

Results

A total of 23 329 patients (mean ± SD age: 64 ± 14 years old; 51% male; mean HbA1c 8.6 ± 1.3%) were included. On multivariable analysis, HbA1c, total cholesterol, LDL-C and triglyceride variability were found to be predictors of SCD (p < .05).

Conclusion

HbA1c and lipid variability were predictive of SCD. Therefore, poor glucose control and variability in lipid parameters in diabetic patients are associated with aborted or actual SCD. These observations suggest the need to re-evaluate the extent of glycemic control required for outcome optimization.

Item Type: Article
DOI/Identification number: 10.1002/clc.23728
Subjects: R Medicine
Divisions: Divisions > Division of Natural Sciences > Kent and Medway Medical School
Depositing User: Manfred Gschwandtner
Date Deposited: 06 Dec 2022 11:24 UTC
Last Modified: 14 Nov 2023 14:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/98735 (The current URI for this page, for reference purposes)

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