Retrospective study shows high sensitivity and negative predictive value for evaluation in emergency department population, suggesting reliable assessment for acute coronary syndrome.
Key Points
Sensitivity of the hs-cTnI algorithm was 95.4%, indicating robust accuracy in diagnosing acute coronary syndrome.
Negative predictive value reached 99.7%, confirming its effectiveness in ruling out myocardial infarction in emergency department patients.
Subgroup analysis revealed variability in negative predictive value among populations, particularly in chronic kidney disease and ischemic coronary artery disease.
Overall performance of the evaluation algorithm was excellent, with risk factors mainly mitigated by clinical assessment for ED discharge.