High-sensitivity cardiac troponin, a cardiac marker predicting death in patients with kidney disease: a dose–response meta-analysis of cohort studies

Author:

Yuan L1,Chen C2,Feng Y1,Yang X J1,Li Y3,Wu Y3,Hu F3,Zhang M3,Li X1,Hu H1,Zhang J1,Li T1,Liu Y4,Sun X4,Zhao Y1,Hu D1

Affiliation:

1. From the Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, People’s Republic of China

2. Department of Endocrinology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shekou Street, Shenzhen, Guangdong 518000, People’s Republic of China

3. Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, 1066 Academy Avenue, Shenzhen, Guangdong 518000, People’s Republic of China

4. Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, 47 Youyi Road, Shenzhen, Guangdong 518000, People’s Republic of China

Abstract

Abstract Patients with kidney disease are at increased risk of adverse mortality events. Numerous studies have demonstrated the positive association of high-sensitivity cardiac troponin T (hs-cTnT) and I (hs-cTnI) with all-cause and cardiovascular (CV) mortality in patients with kidney disease; however, the dose–response meta-analysis has not been reported. We therefore performed this study to evaluate the dose–response associations of hs-cTn with risk of all-cause and CV mortality to improve risk stratification. We searched three databases (PubMed, Embase and Web of Science) to identify relevant prospective cohort studies published up to 12 January 2021. Random-effects models were used to summarize relative risks (RRs) and 95% confidence intervals (CIs) of all-cause and CV mortality. Restricted cubic splines were used to fit the dose–response associations. For each 10 ng/l increase in hs-cTnT and hs-cTnI, the risk increased by 14% (RR = 1.14, 95% CI, 1.10–1.18) and 19% (RR = 1.19, 95% CI, 1.09–1.31) for all-cause mortality, 25% (RR = 1.25, 95% CI, 1.13–1.38) and 19% (RR = 1.19, 95% CI, 1.10–1.29) for CV mortality. A linear trend was found between hs-cTnT and all-cause mortality, whereas a non-linear trend was found in hs-cTnI. Additionally, both hs-cTnT and hs-cTnI were shown to have linear trends with CV mortality. Our meta-analysis suggests that hs-cTn had high sensitivity in predicting mortality events. All dose–response trends were rising rather than falling, conferring that any increase in the levels of hs-cTn may possibly predict a death prognosis among chronic kidney disease patients.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Science and Technology Development Foundation of Shenzhen

SZU medical young scientists’ program

Publisher

Oxford University Press (OUP)

Subject

General Medicine

Reference52 articles.

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