Patterns and Determinants of Temporal Change in High-sensitivity Cardiac Troponin-T: The Atherosclerosis Risk in Communities Cohort Study
Overview
Authors
Affiliations
Background: Patterns and determinants of temporal change in highly-sensitivity troponin-T (hs-cTNT), a novel measure of subclinical myocardial injury, among asymptomatic persons have not been well characterized.
Methods: We studied 8571 ARIC Study participants, free of cardiovascular disease, who had hs-cTNT measured at two time-points, 6 years apart (1990-1992 and 1996-1998). We examined the association of baseline 10-year atherosclerotic cardiovascular (ASCVD) risk-group (<5%, 5-7.4%, ≥ 7.5%) and individual cardiac risk-factors with change across hs-cTNT categories using Poisson and Multinomial Logistic regression and with mean continuous hs-cTNT change using linear regression.
Results: Mean age was 57 years and 43% were male. Mean (SD) 6-year hs-cTNT change was higher across increasing ASCVD risk-groups; +1.2 (6.1) ng/L [<5%], +2.1 (5.4) ng/L [5-7.4%], and +2.8 (8.8) ng/L [≥ 7.5%]. Major baseline determinants of temporal hs-cTNT increases were: age, male gender, hypertension, diabetes, and obesity. In addition, the relative risk (RR) of incident elevated hs-cTNT (≥ 14 ng/L) was 1.46 (95% CI 1.1-2.0) for persons with sustained hypertension compared to those who remained normotensive. Results for sustained obesity (RR 1.65 [1.19-2.29]) and hyperglycemia (RR 1.76 [1.16-2.67]) were similar. These associations were generally stronger after accounting for survival bias. However, smoking, LDL-cholesterol and triglycerides were not associated with hs-cTNT change. HDL-cholesterol was associated with declining hs-cTNT.
Conclusions: Persons in higher ASCVD risk-groups were more likely to have increases in hs-cTNT over 6 years of follow-up. The modifiable risk-factors primarily driving this association were diabetes, hypertension, and obesity; particularly when they were persistently elevated over follow-up. Future studies are needed to determine whether modifying these risk factors can prevent progression of subclinical myocardial injury.
Young J, Lyngbakken M, Hveem K, Rosjo H, Omland T J Am Heart Assoc. 2024; 13(9):e031107.
PMID: 38639374 PMC: 11179940. DOI: 10.1161/JAHA.123.031107.
Zhao K, Shen B, Wei H, Lu R, Liu Y, Xu C Front Cardiovasc Med. 2024; 10:1278073.
PMID: 38188256 PMC: 10768174. DOI: 10.3389/fcvm.2023.1278073.
The Metabolic Pathway of Cardiac Troponins Release: Mechanisms and Diagnostic Role.
Chaulin A Cardiol Res. 2022; 13(4):190-205.
PMID: 36128422 PMC: 9451590. DOI: 10.14740/cr1351.
Chaulin A Curr Issues Mol Biol. 2022; 44(3):1376-1394.
PMID: 35723315 PMC: 8947512. DOI: 10.3390/cimb44030092.
Heart failure in type 2 diabetes: current perspectives on screening, diagnosis and management.
Ceriello A, Catrinoiu D, Chandramouli C, Cosentino F, Dombrowsky A, Itzhak B Cardiovasc Diabetol. 2021; 20(1):218.
PMID: 34740359 PMC: 8571004. DOI: 10.1186/s12933-021-01408-1.