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A 1-h Combination Algorithm Allows Fast Rule-Out and Rule-In of Major Adverse Cardiac Events
Arash Mokhtari1, Catharina Borna2, Patrik Gilje3
1Department of Internal and Emergency Medicine, Skåne University Hospital, Lund, Sweden; Department of Cardiology, Skåne University Hospital, Lund, Sweden; Department of Clinical Sciences at Lund, Lund University, Lund, Sweden.
Insights
A 1-hour algorithm using high-sensitivity cardiac troponin T (hs-cTnT), patient history, and ECG accurately predicts 30-day major adverse cardiac events (MACE). This extended algorithm offers faster rule-out and rule-in of MACE compared to hs-cTnT testing alone.
Area of Science:
- Cardiology
- Emergency Medicine
- Biomarker Research
Background:
- A 1-hour algorithm utilizing high-sensitivity cardiac troponin T (hs-cTnT) effectively rules out acute myocardial infarction.
- This study investigates an enhanced diagnostic approach for chest pain patients.
Purpose of the Study:
- To assess the diagnostic accuracy of a 1-hour algorithm combining hs-cTnT, patient history, and ECG (extended algorithm) for predicting 30-day major adverse cardiac events (MACE).
- To compare the diagnostic performance of the extended algorithm against an hs-cTnT alone algorithm (troponin algorithm).
Main Methods:
- Prospective observational study of consecutive emergency department (ED) patients with chest pain.
- Collected hs-cTnT levels at presentation and 1 hour, alongside physician assessments of patient history and ECG.
- Primary outcome: adjudicated 30-day MACE, including acute myocardial infarction, unstable angina, and cardiac death.
Main Results:
- The extended algorithm achieved 60% rule-out and demonstrated higher sensitivity (97.5%) than the troponin algorithm (87.6%) for MACE.
- Negative predictive value was 99.5% for the extended algorithm versus 97.8% for the troponin algorithm.
- The extended algorithm ruled-in 14% of patients with higher sensitivity (75.2%) but slightly lower specificity (94.0%) compared to the troponin algorithm.
Conclusions:
- A 1-hour combined algorithm (hs-cTnT, history, ECG) enables rapid rule-out and rule-in of 30-day MACE in most ED chest pain patients.
- The extended algorithm outperformed the hs-cTnT alone algorithm in predicting MACE.
Background:
A 1-h algorithm based on high-sensitivity cardiac troponin T (hs-cTnT) testing at presentation and again 1 h thereafter has been shown to accurately rule out acute myocardial infarction.
Objectives:
The goal of the study was to evaluate the diagnostic accuracy of the 1-h algorithm when supplemented with patient history and an electrocardiogram (ECG) (the extended algorithm) for predicting 30-day major adverse cardiac events (MACE) and to compare it with the algorithm using hs-cTnT alone (the troponin algorithm).
Methods:
This prospective observational study enrolled consecutive patients presenting to the emergency department (ED) with chest pain, for whom hs-cTnT testing was ordered at presentation. Hs-cTnT results at 1 h and the ED physician's assessments of patient history and ECG were collected. The primary outcome was an adjudicated diagnosis of 30-day MACE defined as acute myocardial infarction, unstable angina, cardiogenic shock, ventricular arrhythmia, atrioventricular block, cardiac arrest, or death of a cardiac or unknown cause.
Results:
In the final analysis, 1,038 patients were included. The extended algorithm identified 60% of all patients for rule-out and had a higher sensitivity than the troponin algorithm (97.5% vs. 87.6%; p < 0.001). The negative predictive value was 99.5% and the likelihood ratio was 0.04 with the extended algorithm versus 97.8% and 0.17, respectively, with the troponin algorithm. The extended algorithm ruled-in 14% of patients with a higher sensitivity (75.2% vs. 56.2%; p < 0.001) but a slightly lower specificity (94.0% vs. 96.4%; p < 0.001) than the troponin algorithm. The rule-in arms of both algorithms had a likelihood ratio >10.
Conclusions:
A 1-h combination algorithm allowed fast rule-out and rule-in of 30-day MACE in a majority of ED patients with chest pain and performed better than the troponin-alone algorithm.
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