Pulmonary thromboembolism (PTE) remains a leading cause of cardiovascular morbidity and mortality. Early diagnosis and risk stratification are crucial for improving patient outcomes. Several clinical risk models have been proposed, but a simple, comprehensive scoring system that integrates easily accessible clinical parameters is still needed. We aimed to validate the ECOAGE score, a novel composite model integrating age, right ventricular dysfunction (RV), and venous duplex findings of deep venous thrombosis (DVT) for predicting PTE in patients with suspected pulmonary thromboembolism. Methods: In this prospective observational study, 100 patients presenting with suspected PTE at Saint Trinity Hospital from 2022 to 2025 were enrolled. Clinical data, echocardiographic parameters, and venous duplex ultrasound findings were collected. The ECOAGE score was calculated for each patient, and its ability to predict PTE was assessed using receiver operating characteristic (ROC) curve analysis. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. A Cox proportional hazards regression model was used to evaluate the relationship between the ECOAGE score and clinical outcomes. Results: The ECOAGE score demonstrated excellent discriminatory power for identifying patients at high risk for PTE, with an AUC of 0.81. At a threshold of ≥5 points, the score achieved 82% sensitivity and 70% specificity. The score also effectively stratified patients based on clinical outcomes, with high-risk patients showing increased morbidity and hospital stays. Right ventricular dysfunction and DVT were significantly associated with the presence of PTE. Conclusions: The ECOAGE score is a reliable, simple, and effective tool for predicting pulmonary thromboembolism in patients with suspected PTE. It offers an easily applicable risk stratification method that could improve clinical decision-making and early management of PTE, especially in resource-limited settings. Further studies with larger cohorts and longer follow-up are required to validate its prognostic value in diverse populations.

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Risk Stratification in Pulmonary Thromboembolism: Validation of the ECOAGE Score

  • Doina Ranga,
  • Natalia Capros,
  • Andrei Cealan,
  • Hristiana Capros,
  • Cornelia Talmaci,
  • Sergiu Matcovschi

摘要

Pulmonary thromboembolism (PTE) remains a leading cause of cardiovascular morbidity and mortality. Early diagnosis and risk stratification are crucial for improving patient outcomes. Several clinical risk models have been proposed, but a simple, comprehensive scoring system that integrates easily accessible clinical parameters is still needed. We aimed to validate the ECOAGE score, a novel composite model integrating age, right ventricular dysfunction (RV), and venous duplex findings of deep venous thrombosis (DVT) for predicting PTE in patients with suspected pulmonary thromboembolism. Methods: In this prospective observational study, 100 patients presenting with suspected PTE at Saint Trinity Hospital from 2022 to 2025 were enrolled. Clinical data, echocardiographic parameters, and venous duplex ultrasound findings were collected. The ECOAGE score was calculated for each patient, and its ability to predict PTE was assessed using receiver operating characteristic (ROC) curve analysis. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. A Cox proportional hazards regression model was used to evaluate the relationship between the ECOAGE score and clinical outcomes. Results: The ECOAGE score demonstrated excellent discriminatory power for identifying patients at high risk for PTE, with an AUC of 0.81. At a threshold of ≥5 points, the score achieved 82% sensitivity and 70% specificity. The score also effectively stratified patients based on clinical outcomes, with high-risk patients showing increased morbidity and hospital stays. Right ventricular dysfunction and DVT were significantly associated with the presence of PTE. Conclusions: The ECOAGE score is a reliable, simple, and effective tool for predicting pulmonary thromboembolism in patients with suspected PTE. It offers an easily applicable risk stratification method that could improve clinical decision-making and early management of PTE, especially in resource-limited settings. Further studies with larger cohorts and longer follow-up are required to validate its prognostic value in diverse populations.