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Role of troponin as a biomarker for predicting outcome after ischemic stroke

Adel Alhazzani1, Amit Kumar2, Mubarak Algahtany3

  • 1Department of Medicine, Division of Neurology, King Saud University, Riyadh, Saudi Arabia.

Brain Circulation
|June 30, 2021
PubMed

Insights

Elevated troponin levels in acute ischemic stroke patients are linked to increased mortality risk. This meta-analysis confirms troponin as a key prognostic biomarker for in-hospital and follow-up deaths.

Area of Science:

  • Cardiology
  • Neurology
  • Biomarker Research

Background:

  • Elevated troponin levels are recognized as a significant predictor of mortality following acute ischemic stroke.
  • Understanding the precise prognostic value of baseline troponin is crucial for patient management.

Purpose of the Study:

  • To quantitatively assess the prognostic significance of baseline troponin levels on all-cause mortality in acute ischemic stroke patients.
  • To conduct a meta-analysis to consolidate evidence on troponin's predictive value for mortality.

Main Methods:

  • A comprehensive literature search was performed across multiple electronic databases (PubMed, Web of Science, etc.).
  • Data extraction was conducted by two independent investigators, with disagreements resolved by consensus.
  • Statistical analyses were performed using STATA software (Version 13.1).

Main Results:

  • The meta-analysis included 19 studies with 10,519 patients.
  • Elevated serum troponin levels were associated with increased in-hospital mortality (RR 2.34) and mortality at last follow-up (RR 2.01).
  • Sensitivity analyses confirmed the robustness of the pooled risk estimates, with no significant impact from individual studies.

Conclusions:

  • Higher baseline troponin levels serve as an important prognostic biomarker for both in-hospital and follow-up mortality in acute ischemic stroke patients.
  • Further prospective studies are warranted to validate this association.
  • The study is registered under OSF registries (DOI: 10.17605/OSF.IO/D95GN).
Abstract

Keywords:
Biomarkermeta-analysisoutcome predictionstroketroponin

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