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Multiple Cardiac Biomarkers Used in Clinical Guideline for Elderly Patients with Acute Coronary Syndrome

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Summary Background Bedside cardiac biomarker (CB) is a crucial diagnostic tool used in the emergency department (ED) for older patients with chest pain. We compared various bedside CB panels test… Click to show full abstract

Summary Background Bedside cardiac biomarker (CB) is a crucial diagnostic tool used in the emergency department (ED) for older patients with chest pain. We compared various bedside CB panels test results and suggested a bedside-testing-based clinical guideline with improved accuracy of diagnosis and more time efficiency for this group of patients. Methods 146 elderly patients (age ≥ 65) received three different bedside CB panel tests. One test had multiple cardiac biomarkers (MCB) including myoglobin, Troponin-I, creatinine kinase myocardial band isoenzyme (CK-MB), B-natriuretic peptide (BNP); another one had two biomarkers Troponin-I and CK-MB; the last one tested with Troponin-I only. The final clinical diagnosis of each patient had confirmed in 45 days afterward. We evaluated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), negative likelihood ratio (LR−), and receiver operating characteristic (ROC) curve. Results The sensitivity of the bedside MCB system was 80%, and the NPV was 87%, which proved to be of more benefit than the other two CB panel tests (0.14, 0.23 vs. 0.79, 0.79). In contrast, the CB test based on Troponin-I alone had the best LR+, as opposed to the CB test of Troponin-I with CK-MB, and the MCB test (15.86 vs. 4.23, 1.43). Conclusion Bedside MCB test system with high levels of sensitivity and NPV can be a preferred point of care test used in our suggested guideline to help ER physicians rapidly differentiate elderly patients with ACS from ones with non-cardiac chest pain.

Keywords: test; elderly patients; cardiac biomarkers; clinical guideline; multiple cardiac

Journal Title: International Journal of Gerontology
Year Published: 2017

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