Evaluating the Effectiveness of the Salzburg Myocarditis Score in Differentiating Acute Coronary Syndrome and Myocarditis Among Adults Presenting With Acute Chest Pain: An Observational Study

Overview

Journal Cureus

Specialty Biomedical Engineering

Date 2024 Oct 3

PMID 39360084

Authors

Prem Balaji Reddy Lankapothu

Sharath Chandra Dasi

Shrinidhi Bhaskaran

Arun Kumar Bathena

Affiliations

Soon will be listed here.

Abstract

Background: Acute chest pain is a common and challenging clinical presentation, necessitating rapid and accurate differentiation between potentially life-threatening etiologies like acute coronary syndrome (ACS) and acute myocarditis. The Salzburg Myocarditis Score (SMS), designed to aid in the early detection of myocarditis, offers a structured approach to this diagnostic challenge. However, the lack of a reliable clinical score for differentiating between these two conditions has been highlighted in recent literature, particularly in the context of limitations in using troponin levels alone for myocarditis diagnosis.

Objective: This study aimed to assess the diagnostic accuracy of the SMS for differentiating ACS and myocarditis in adult patients presenting with acute chest pain at Saveetha Medical College, Chennai, India.

Methods: A retrospective observational cohort study was conducted involving 100 consecutive patients presenting with acute chest pain. The SMS was calculated for each patient, and the final diagnoses of ACS or myocarditis were confirmed through comprehensive cardiac imaging (echocardiography or cardiac MRI) and additional biomarker analysis, following recommendations from established guidelines. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and a chi-square test were employed for statistical analysis.

Results: Among the 100 patients, 60 were diagnosed with ACS, and one was diagnosed with myocarditis. The SMS demonstrated high sensitivity (84.09%) and specificity (88.76%) for ACS, aligning with previous research findings. However, for myocarditis, the sensitivity was notably lower (25.81%), while specificity remained high (95.12%), consistent with concerns raised about the limitations of the score in identifying myocarditis. The PPV and NPV for ACS were 60% and 100%, respectively, while for myocarditis, the PPV and NPV were 2.5% and 100%, respectively. A chi-square test revealed a significant association between SMS predictions and the final diagnosis (p<0.001).

Conclusion: The SMS is a valuable tool for identifying ACS in patients with acute chest pain. However, due to its low sensitivity for myocarditis, additional diagnostic tests, such as cardiac MRI, are crucial when myocarditis is suspected, despite a low SMS.

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