Optimizing Use of High-Sensitivity Troponin for Risk-Stratification of Acute Pulmonary Embolism.

Sayhaan R Goraya, Connor O'Hare, Kelsey A Grace, William J Schaeffer,S Nabeel Hyder,Geoffrey D Barnes,Colin F Greineder

Thrombosis and haemostasis(2024)

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Abstract
BACKGROUND:High-sensitivity troponin T (HS-TnT) may improve risk-stratification in hemodynamically stable acute pulmonary embolism (PE), but an optimal strategy for combining this biomarker with clinical risk-stratification tools has not been determined. STUDY HYPOTHESIS:We hypothesized that different HS-TnT cutoff values may be optimal for identifying (1) low-risk patients who may be eligible for outpatient management and (2) patients at increased risk of clinical deterioration who might benefit from advanced PE therapies. METHODS:Retrospective analysis of hemodynamically stable patients in the University of Michigan acute ED-PE registry with available HS-TnT values. Primary and secondary outcomes were 30-day mortality and need for intensive care unit-level care. Receiver operating characteristic curves were used to determine optimal HS-TnT cutoffs in the entire cohort, and for those at higher risk based on the simplified Pulmonary Embolism Severity Index (PESI) or imaging findings. RESULTS:The optimal HS-TnT cutoff in the full cohort, 12 pg/mL, was significantly associated with 30-day mortality (odds ratio [OR]: 3.94, 95% confidence interval [CI]: 1.48-10.50) and remained a significant predictor after adjusting for the simplified PESI (sPESI) score and serum creatinine (adjusted OR: 3.05, 95% CI: 1.11-8.38). A HS-TnT cutoff of 87 pg/mL was associated with 30-day mortality (OR: 5.01, 95% CI: 2.08-12.06) in patients with sPESI ≥1 or right ventricular dysfunction. CONCLUSION:In this retrospective, single-center study of acute PE patients, we identified distinct optimal HS-TnT values for different clinical uses-a lower cutoff, which identified low-risk patients even in the absence of other risk-stratification methods, and a higher cutoff, which was strongly associated with adverse outcomes in patients at increased risk.
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