Triglyceride to high-density lipoprotein cholesterol ratio predicts cardiovascular events in maintenance hemodialysis patients

10Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio has been shown to be a predictor of cardiovascular (CV) outcomes in the general population. The aim of this study was to determine whether the TG/HDL-C ratio is a predictor of CV events and all-cause mortality in maintenance hemodialysis (MHD) patients. Methods: We performed a retrospective, observational cohort study in which we enrolled 193 MHD patients from a single center in Japan who had been followed up for a median of 3.9 years. The outcomes were the occurrence of a CV event and all-cause mortality during the follow-up period. Baseline TG/HDL-C ratios were investigated for associations with outcomes by using Cox regression models adjusted for demographic parameters. Results: Overall, 88 of the subjects experienced a CV event, and 32 patients had died, of whom 4 died due to CV events. Patients with higher TG/HDL-C levels (tertile 3) had a higher incidence of CV events (adjusted hazard ratio [HR] 1.82, 95 % confidence interval [CI] 1.01-3.35) and higher all-cause mortality (adjusted HR 6.13, 95 % CI 2.13-20.22) than the patients in tertile 1. Kaplan-Meier analyses by the log-rank test showed that the TG/HDL-C ratio had significant predictive power for detecting a CV event. Conclusions: The TG/HDL-C ratio is a reliable and easily accessible marker for predicting CV events and mortality in MHD patients.

Cite

CITATION STYLE

APA

Hasegawa, A., Kojima, F., Ueda, M., Tanaka, Y., & Nitta, K. (2016). Triglyceride to high-density lipoprotein cholesterol ratio predicts cardiovascular events in maintenance hemodialysis patients. Renal Replacement Therapy, 2(1). https://doi.org/10.1186/s41100-016-0069-4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free