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Published on: August 9, 2024
Comprehensive validation of early diagnostic algorithms for myocardial infarction in the emergency department
M Tada1,2,3, H Matano4, H Azuma5
1Department of Emergency Medicine, Nagoya City University East Medical Center, Aichi, Japan.
Insights
High-sensitivity cardiac troponin I (hs-cTnI) assays improve early myocardial infarction diagnosis. The High-STEACS pathway using hs-cTnI offers excellent safety and efficiency for identifying low-risk patients.
Area of Science:
- Cardiology
- Emergency Medicine
- Biomarker Assays
Background:
- Myocardial infarction diagnosis relies on timely and accurate risk stratification.
- High-sensitivity cardiac troponin I (hs-cTnI) assays have emerged as crucial tools in emergency departments.
- Evaluating diagnostic algorithms is essential for optimizing patient care and resource allocation.
Purpose of the Study:
- To comprehensively evaluate diagnostic algorithms for myocardial infarction (MI) utilizing a high-sensitivity cardiac troponin I (hs-cTnI) assay.
- To compare the safety and efficiency of various hs-cTnI-based and traditional diagnostic pathways.
- To determine the optimal algorithm for early and accurate MI diagnosis in suspected cases.
Main Methods:
- Prospective enrollment of 437 patients with suspected non-ST-segment elevation MI across nine Japanese emergency departments.
- Evaluation of diagnostic algorithms including European Society of Cardiology (ESC) 0/1-h, ESC 0/2-h, High-STEACS, ADAPT, EDACS, HEART, and GRACE pathways.
- Assessment of negative predictive value (NPV), sensitivity, and proportion of patients classified as low or high-risk for type 1 MI or cardiac death within 30 days.
Main Results:
- All evaluated algorithms, except GRACE, successfully identified low-risk patients without missing primary outcomes.
- hs-cTnI-based algorithms, particularly High-STEACS (68.5%), classified significantly more patients as low-risk compared to history/physical findings-based pathways (15-30%).
- The High-STEACS pathway demonstrated higher efficiency by ruling out more patients (20.5%) at 0-hour hs-cTnI measurement compared to ESC algorithms (7.4%).
Conclusions:
- hs-cTnI algorithms, especially the High-STEACS pathway, provide excellent safety for early myocardial infarction diagnosis.
- These hs-cTnI-based strategies significantly enhance diagnostic efficiency in emergency settings.
- The High-STEACS pathway represents a promising advancement for rapid and reliable MI rule-out.
Objective:
To comprehensively evaluate diagnostic algorithms for myocardial infarction using a high-sensitivity cardiac troponin I (hs-cTnI) assay.
Patients And Methods:
We prospectively enrolled patients with suspected myocardial infarction without ST-segment elevation from nine emergency departments in Japan. The diagnostic algorithms evaluated: (i) based on hs-cTnI alone, such as the European Society of Cardiology (ESC) 0/1-h or 0/2-h and High-STEACS pathways; or (ii) used medical history and physical findings, such as the ADAPT, EDACS, HEART, and GRACE pathways. We evaluated the negative predictive value (NPV), sensitivity as safety measures, and proportion of patients classified as low or high-risk as an efficiency measure for a primary outcome of type 1 myocardial infarction or cardiac death within 30 days.
Results:
We included 437 patients, and the hs-cTnI was collected at 0 and 1 hours in 407 patients and at 0 and 2 hours in 394. The primary outcome occurred in 8.1% (33/407) and 6.9% (27/394) of patients, respectively. All the algorithms classified low-risk patients without missing those with the primary outcome, except for the GRACE pathway. The hs-cTnI-based algorithms classified more patients as low-risk: the ESC 0/1-h 45.7%; the ESC 0/2-h 50.5%; the High-STEACS pathway 68.5%, than those using history and physical findings (15-30%). The High-STEACS pathway ruled out more patients (20.5%) by hs-cTnI measurement at 0 hours than the ESC 0/1-h and 0/2-h algorithms (7.4%).
Conclusions:
The hs-cTnI algorithms, especially the High-STEACS pathway, had excellent safety performance for the early diagnosis of myocardial infarction and offered the greatest improvement in efficiency.
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