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Associations of the Cardiometabolic Index with the Risk of Cardiovascular Disease in Patients with Hypertension and Obstructive Sleep Apnea: Results of a Longitudinal Cohort Study

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Publisher Wiley
Date 2022 Jul 5
PMID 35783191
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Abstract

Purpose: We aimed to explore the relationship between the cardiometabolic index (CMI) and cardiovascular disease (CVD) and its subtypes (coronary artery disease and stroke) in patients with hypertension and obstructive sleep apnea (OSA).

Methods: We conducted a retrospective cohort study enrolling 2067 participants from the Urumqi Research on Sleep Apnea and Hypertension study. The CMI was calculated as triglyceride to high-density lipoprotein cholesterol ratio × waist-to-height ratio. Participants were divided into three groups (T1, T2, and T3) according to the tertile of CMI. The Kaplan-Meier method helped to calculate the cumulative incidence of CVD in different groups. We assessed the association of CMI with the risk of CVD and CVD subtypes by estimating hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox models.

Results: During a median follow-up of 6.83 years (interquartile range: 5.92-8.00 years), 326 incident CVD were identified, including 121 incident stroke and 205 incident coronary heart disease (CHD). Overall, after adjusting for confounding variables, CMI was positively associated with the risk of new-onset CVD (per SD increment, adjusted HR: 1.31; 95% CI: 1.20, 1.43), new-onset CHD (per SD increment, adjusted HR: 1.33; 95% CI: 1.20, 1.48), and new-onset stroke (per SD increment, adjusted HR: 1.27; 95% CI: 1.10, 1.47). Similar results were obtained in various subgroup and sensitivity analyses. Adding CMI to the baseline risk model for CVD improved the -index ( < 0.001), continuous net reclassification improvement ( < 0.001), and integrated discrimination index ( < 0.001). Similar results were observed for CHD and stroke.

Conclusion: There was a positive association between CMI levels and the risk of new-onset CVD in patients with hypertension and OSA. This finding suggests that CMI may help identify people at high risk of developing CVD.

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References
1.
Akoumianakis I, Antoniades C . The interplay between adipose tissue and the cardiovascular system: is fat always bad?. Cardiovasc Res. 2017; 113(9):999-1008. DOI: 10.1093/cvr/cvx111. View

2.
Hoshide S, Kario K, Chia Y, Siddique S, Buranakitjaroen P, Tsoi K . Characteristics of hypertension in obstructive sleep apnea: An Asian experience. J Clin Hypertens (Greenwich). 2021; 23(3):489-495. PMC: 8029541. DOI: 10.1111/jch.14184. View

3.
Liu X, Wu Q, Yan G, Duan J, Chen Z, Yang P . Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype. J Endocrinol Invest. 2020; 44(6):1253-1261. DOI: 10.1007/s40618-020-01417-z. View

4.
Muzurovic E, Mikhailidis D, Mantzoros C . Non-alcoholic fatty liver disease, insulin resistance, metabolic syndrome and their association with vascular risk. Metabolism. 2021; 119:154770. DOI: 10.1016/j.metabol.2021.154770. View

5.
Agbim U, Carr R, Pickett-Blakely O, Dagogo-Jack S . Ethnic Disparities in Adiposity: Focus on Non-alcoholic Fatty Liver Disease, Visceral, and Generalized Obesity. Curr Obes Rep. 2019; 8(3):243-254. PMC: 6662200. DOI: 10.1007/s13679-019-00349-x. View