Akademik Veri Yönetim Sistemi
Heart and Lung, cilt.79, 2026 (SCI-Expanded, Scopus)
Background: Evaluating the severity of pulmonary embolism (PE) is crucial for determining the appropriate therapeutic strategy and prognosis. An electrocardiographic approach to predicting prognosis in PE may yield valuable insights. Objectives: We aimed to assess the prognostic performance of the electrical risk score (ERS) and its correlation with the PESI and sPESI scores in patients with PE. Methods: In this retrospective, single-center study, we included 131 patients presenting with PE between February 1, 2023, and September 30, 2024. Pearson correlation analysis assessed ERS’ correlation with PESI and sPESI scores. Binary logistic regression and ROC analysis were used to evaluate predictors for 1-year all-cause mortality (ACM). Primary outcome was 1-year ACM. Results: A significant correlation was noted between the ERS and PESI score (r = 0.796, 95% CI=0.720–0.852), and also between the ERS and sPESI score (r = 0.566, 95%CI=0.433–0.675). In binary logistic regression analysis, ERS was an independent predictor of 1-year all-cause mortality (OR=7.562, 95%CI=1.939–29.489) and in-hospital mortality (OR=5.339, 95%CI=1.559–18.285), after adjusting for age, hypertension, troponin level, use of renin-angiotensin system inhibitors, use of diuretics, PESI, and sPESI score. ROC analysis showed that ERS exhibited a higher prognostic accuracy (AUC=0.900, 95%CI=0.818–0.982) compared to the PESI (AUC=0.771, 95%CI=0.657–0.885) and sPESI (AUC=0.620, 95%CI=0.478–0.762) scores. The optimal cut-off value of ERS for predicting 1-year ACM was 3.5 with a sensitivity of 89.5% and a specificity of 81.2%. Conclusion: Electrical risk score may yield a greater prognostic accuracy for the prediction of 1-year ACM in PE compared to the PESI and sPESI scores.