Diagnostic accuracy of point-of-care high-sensitivity troponin algorithms for emergency department rule-out and rule-in of acute myocardial infarction: a systematic review and meta-analysis

The authors aimed to evaluate the diagnostic accuracy of high-sensitivity point-of-care (hs-POC) troponin algorithms for the rule-out and rule-in of acute myocardial infarction (AMI) in emergency departments. Their systematic review and meta-analysis found that these algorithms demonstrated high sensitivity (98.0%) and negative predictive value (99.9%) for rule-out, as well as high specificity (96.0%) for rule-in, across various platforms, suggesting they can facilitate rapid and accurate clinical decision-making. The study highlights the need for further implementation research to assess the impact of these algorithms on emergency department workflows and patient outcomes.