AI Summary & Key Takeaways
AI InsightConclusion: In this study, we concluded that the PATHOS score may be an effective tool for in-hospital mortality estimation of patients diagnosed with PE in the ED.
📌 3 Key Takeaways
Abstract
Aims: Pulmonary embolism (PE) is a major contributor to the death rate associated with cardiovascular diseases. The objective of this research is to evaluate the efficacy of the PATHOS score in predicting in-hospital mortality in patients diagnosed with pulmonary embolism (PE) in emergency departments (ED). Methods: The data of patients who were visited in the ED of a third-level healthcare facility, and diagnosed with PE between 2022 and 2023 were analyzed. To examine the value of the PATHOS score in predicting mortality, through the use of Receiver Operating Characteristic (ROC) analysis, the Area Under the Curve (AUC) was determined. Results: The study was completed with 111 patients. Of these patients, 52 (46.8%) were male and 59 (53.2%) were female. The mean age of the patients was 67.67±16.49. When the cut-off value of PATHOS score in identifying in-hospital mortality was >2, the sensitivity was 70.8%, the specificity was 71.3%, and the positive predictive value was 41.2% and the negative predictive value was 81.9%. Conclusion: In this study, we concluded that the PATHOS score may be an effective tool for in-hospital mortality estimation of patients diagnosed with PE in the ED. However, this score needs further evaluation in large-scale and multicenter studies.