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Published on: June 10, 2025
APUA score for predicting 30-day mortality in hospitalized patients with community-acquired pneumonia
Merve Osoydan Satici1, Celal Satici2, Nevin Altungok2
1Department of Emergency Medicine, Universty of Health Sciences Umraniye Research and Training Hospital, Elmalikent Mahallesi, Adem Yavuz Caddesi, No:1 Umraniye, Istanbul, Turkey.
Background:
Community-acquired pneumonia (CAP) is a leading cause of emergency department (ED) visits and global mortality. Rapid and accurate risk stratification is crucial for optimizing clinical decision-making. This study aims to evaluate the APUA score's prognostic value.
Methods:
This retrospective cohort study included adult patients with CAP admitted to a tertiary ED and subsequently hospitalized between June 2023 and June 2024. The study aimed to evaluate the prognostic performance of APUA score in predicting 30-day mortality. Logistic regression analysis identified independent predictors of mortality, and the prognostic performance of APUA, CURB-65, PSI, and APUA-RO₂ was assessed using receiver operating characteristic (ROC) curve analysis and the area under the curve (AUC).
Results:
A total of 416 patients (mean age 66.6 ± 15.4 years, 62 % male) were included, with 47 (11.2 %) experiencing 30-day mortality. Multivariate analysis identified age, albumin, urea, respiratory rate (RR), and PaO₂ as independent mortality predictors. The APUA score demonstrated superior predictive ability compared to CURB-65 (AUC: 0.76 vs. 0.66) and was comparable to PSI (AUC: 0.79). The APUA-RO₂ model further improved discrimination (AUC: 0.81) and outperformed CURB-65 (p = 0.004) and APUA (p = 0.002) in mortality prediction.
Conclusion:
The APUA score is a practical and effective tool for CAP severity assessment, offering improved predictive performance over CURB-65 while maintaining clinical usability. The APUA-RO₂ model further enhances risk stratification and may aid in ED decision-making. Further validation studies with larger patient cohorts including outpateints are needed to improve its clinical applicability.
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