New Potential Biomarkers for the Differential Diagnosis of Pericarditis and Myopericarditis

Authors : Mehmet Özyaşar, Tolga Memioğlu
Pages : 467-476
Doi:10.53394/akd.1644187
View : 55 | Download : 102
Publication Date : 2025-09-29
Article Type : Research Paper
Abstract :Objective: Myopericarditis is an inflammatory disease characterized by elevated cardiac biomarkers. In the absence of elevated cardiac biomarkers, myocardial involvement is subclinical or unclear in most cases of pericarditis. In order to differentiate between pericarditis and myopericarditis, this study sought to fully ascertain the prognostic significance of inflammatory ratios and indicators. Methods: After applying the exclusion criteria, this study comprised 193 patients out of 1220 patients enrolled in our hospital\\\'s database in 2022 who satisfied the diagnostic criteria for pericarditis and myopericarditis. Inflammatory scores were calculated from peripheral complete blood counts and analyzed with demographic and clinical data. p < 0.05 was the cutoff point for statistical significance. Results: A total of 193 patients (105 with pericarditis, 88 with myopericarditis) were included. The pericarditis group had more female patients, while myopericarditis was predominantly male (p=0.014). The mean age was 38.39 ± 15.84 years. Inflammatory scores were significantly higher in myopericarditis. In univariate and multivariate logistic regression, NLR, dNLR, and SIRI showed high specificity, sensitivity, and predictability for myopericarditis. ROC and AUC analyses identified NLR, dNLR, and SIRI with the highest AUC values (0.88, 0.85, and 0.85). With a cut-off of 2.45 (p<0.01), NLR had the highest sensitivity (84.1%) and specificity (81.9%). dNLR (cut-off 1.85, p<0.01) had 80.7% sensitivity and 81.9% specificity, while SIRI (cut-off 1.64, p<0.01) had 80.7% sensitivity and 82.9% specificity. Conclusion: The NLR, dNLR, and SIRI scores could be potential biomarkers for predicting and differentiating myopericarditis. To validate these findings and apply them to clinical practice, more research is required.
Keywords : Perikardit, Miyoperikardit, Enflamatuvar Biyomarkerler, Ayırıcı Tanı

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