Why the study?
High-sensitivity troponin T is a standard biomarker for myocardial injury detection, but its prognostic value may differ by renal function status.
Does renal function status modify the prognostic value of elevated high-sensitivity troponin T for mortality and ischemic events in ACS patients undergoing PCI?
Does renal function status modify the prognostic value of elevated high-sensitivity troponin T for mortality and ischemic events in ACS patients undergoing PCI?
Renal function significantly modifies the prognostic value of high-sensitivity troponin T in ACS patients post-PCI, with elevated levels predicting substantially higher mortality in patients with impaired renal function compared to those with preserved renal function.
hsTnT-mortality link stronger in impaired vs preserved renal function post-PCI ACS; leaves open renal-adjusted troponin thresholds pending validation.
Background and objectives: High-sensitivity troponin T (hsTnT) is a standard biomarker for myocardial injury detection, but its prognostic value may differ by renal function status. This study evaluated how renal function modifies the prognostic significance of hsTnT in ACS patients undergoing PCI. Methods: ] and peak hsTnT levels [<5× vs. ≥5× upper reference limit (URL)]. Primary outcomes included one-year all-cause mortality and one-year incidence of ischemic events following the index PCI procedure. Results: = 0.0002). Restricted cubic spline analysis revealed a significant non-linear relationship between hsTnT levels and mortality specifically in impaired renal function cohort (P for non-linearity = 0.0004), whereas a predominantly linear association was observed in patients with preserved renal function. A significant interaction was observed between renal function and hsTnT for mortality prediction (P for interaction = 0.0089). Conclusions: These findings indicate that renal function substantially modifies the prognostic significance of hsTnT among ACS patients post-PCI. Integrating renal function and peak hsTnT into risk assessment may help identify high-risk subgroups requiring intensified follow-up and management.
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Na et al. (2025) studied this question.
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