Clinical correlates, threshold sensitivity, and parsimonious modeling of high-sensitivity cardiac troponin I in health examination cohorts: a retrospective cross-sectional study with same-center temporal validation

Background High-sensitivity cardiac troponin I (hs-cTnI) interpretation depends on assay-specific reference limits. We examined correlates of hs-cTnI above a study-specific cutoff, compared two parsimonious logistic models, and assessed temporal transportability and threshold sensitivity. Methods The 2025 development cohort comprised 1,758 adults undergoing a standardized health-examination package; 86 (4.9%) had hs-cTnI >19.8 ng/L. Unweighted Age + Sex and Age + Sex + Creatinine models were fitted using all participants, with 1,000-bootstrap internal validation. Fixed equations were evaluated in a same-center cohort examined during January–June 2026: 2,181 participants for Age + Sex and 2,179 for Age + Sex + Creatinine because two participants lacked creatinine. Threshold sensitivity analyses were feasible only in 2026, using report-based sex-specific limits (15.6 ng/L for women; 34.2 ng/L for men), FDA-reported sex-specific limits (17/35 ng/L), and an overall 28 ng/L cutoff. A left-censored analysis evaluated continuous hs-cTnI. Results Development Age + Sex ROC-AUC was 0.838, with an optimism-corrected AUC of 0.836. Adding creatinine changed AUC by +0.002 (95% CI −0.003 to +0.006). Temporal ROC-AUC was 0.716 (95% CI 0.649–0.774) for Age + Sex and 0.705 (0.640–0.762) for Age + Sex + Creatinine; both models overpredicted the probability of hs-cTnI >19.8 ng/L. In 2026, the age-adjusted male-sex OR was 2.39 under the common cutoff, 0.64 (95% CI 0.33–1.24) with report-based sex-specific limits, and 0.72 (0.36–1.43) with FDA-reported sex-specific limits. Both sex-specific intervals included 1; these threshold-dependent estimates do not establish an inverse male-sex association. Age remained positively associated across threshold definitions. Conclusions Age was the most consistent correlate among available variables. Male-sex estimates varied by cutoff definition in the 2026 cohort. Adding creatinine provided no evidence of improved discrimination beyond Age + Sex. Calibration deteriorated in the temporal cohort, but its cause remains uncertain. These descriptive findings do not support clinical risk categories, electronic alerts, or replacement of direct hs-cTnI measurement.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2026-11-11
DOI
https://doi.org/10.3389/fmed.2026.1935256
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Clinical correlates, threshold sensitivity, and parsimonious modeling of high-sensitivity cardiac troponin I in health examination cohorts: a retrospective cross-sectional study with same-center temporal validation

Tonger Liang, Peiwen Dong, Yuting Yang, Lijun Mei et al.
Frontiers in Medicine
Acute Myocardial Infarction Research
article

Clinical correlates, threshold sensitivity, and parsimonious modeling of high-sensitivity cardiac troponin I in health examination cohorts: a retrospective cross-sectional study with same-center temporal validation

Tonger Liang, Peiwen Dong, Yuting Yang, Lijun Mei, Yong Zhao, Jia Peng
article en

Abstract

Background High-sensitivity cardiac troponin I (hs-cTnI) interpretation depends on assay-specific reference limits. We examined correlates of hs-cTnI above a study-specific cutoff, compared two parsimonious logistic models, and assessed temporal transportability and threshold sensitivity. Methods The 2025 development cohort comprised 1,758 adults undergoing a standardized health-examination package; 86 (4.9%) had hs-cTnI >19.8 ng/L. Unweighted Age + Sex and Age + Sex + Creatinine models were fitted using all participants, with 1,000-bootstrap internal validation. Fixed equations were evaluated in a same-center cohort examined during January–June 2026: 2,181 participants for Age + Sex and 2,179 for Age + Sex + Creatinine because two participants lacked creatinine. Threshold sensitivity analyses were feasible only in 2026, using report-based sex-specific limits (15.6 ng/L for women; 34.2 ng/L for men), FDA-reported sex-specific limits (17/35 ng/L), and an overall 28 ng/L cutoff. A left-censored analysis evaluated continuous hs-cTnI. Results Development Age + Sex ROC-AUC was 0.838, with an optimism-corrected AUC of 0.836. Adding creatinine changed AUC by +0.002 (95% CI −0.003 to +0.006). Temporal ROC-AUC was 0.716 (95% CI 0.649–0.774) for Age + Sex and 0.705 (0.640–0.762) for Age + Sex + Creatinine; both models overpredicted the probability of hs-cTnI >19.8 ng/L. In 2026, the age-adjusted male-sex OR was 2.39 under the common cutoff, 0.64 (95% CI 0.33–1.24) with report-based sex-specific limits, and 0.72 (0.36–1.43) with FDA-reported sex-specific limits. Both sex-specific intervals included 1; these threshold-dependent estimates do not establish an inverse male-sex association. Age remained positively associated across threshold definitions. Conclusions Age was the most consistent correlate among available variables. Male-sex estimates varied by cutoff definition in the 2026 cohort. Adding creatinine provided no evidence of improved discrimination beyond Age + Sex. Calibration deteriorated in the temporal cohort, but its cause remains uncertain. These descriptive findings do not support clinical risk categories, electronic alerts, or replacement of direct hs-cTnI measurement.

Frontiers in MedicineVol. 13
Third People's Hospital of Chengdu (CN)
Acute Myocardial Infarction Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon