ArticleClinical research in cardiology : official journal of the German Cardiac Society2026
Time- and dose-dependent high-sensitivity cardiac troponin-T to improve outcome prediction after TAVI: a multicenter cohort study.
Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundPre- and post-procedural high-sensitivity cardiac troponin T (hs-cTnT) detects periprocedural myocardial injury (PPMI) and predicts adverse outcomes following transcatheter aortic valve implantation (TAVI). Current diagnosis of PPMI relies on fixed cutoffs, lacking the integration of time- and dose-dependent effects of hs-cTnT. This limits the precision of risk stratification and subsequent patient management.
aimsTo investigate the non-linear and time-dependent effects of pre- and post-procedural hs-cTnT levels on outcomes after TAVI, these findings were compared to the dichotomized definition of PPMI proposed by the Valve Academic Research Consortium-3 (VARC-3).
methodsConsecutive patients undergoing TAVI between 2011 and 2024 at two tertiary university hospitals with available hs-cTnT measurements were enrolled. The primary outcome was all-cause mortality at 1 year. Multivariable Cox proportional hazards models were fitted. To relax the proportional hazards assumption, allowing for hazard ratios (HRs) to vary over time and across hs-cTnT values, a Royston-Parmar model was fitted.
resultsAmong 5158 patients, the HR for all-cause mortality at 1 year associated with VARC-3 defined PPMI was not statistically significant. Continuous variable analysis showed that both higher pre- and post-procedural hs-cTnT levels correlated with increased all-cause mortality risk at 1 year. Time-dependent models revealed the hazard to be greatest for higher hs-cTnT levels early post-procedurally and to decline over time.
conclusionsThe dichotomized VARC-3 definition of PPMI showed no prognostic value. Modelling hs-cTnT as continuous and time-dependent revealed a dynamic risk trajectory after TAVI. Incorporating these non-linear and time-dependent effects into risk prediction models may improve clinical decision-making and personalize post-procedural surveillance.
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