Satici Merve Osoydan, Satici Celal, Altungok Nevin, Nuhoglu Cagatay, Arslan Banu, Gunluoglu Gulsah
Department of Emergency Medicine, Universty of Health Sciences Umraniye Research and Training Hospital, Elmalikent Mahallesi, Adem Yavuz Caddesi, No:1 Umraniye, Istanbul, Turkey.
Department of Chest Diseases, University of Health Sciences Yedikule Chest Disease and Chest Surgery Research and Training Hospital, Belgradkapi yolu No 1, Zeytinburnu, Istanbul, Turkey.
Am J Emerg Med. 2025 Jun 16;96:98-103. doi: 10.1016/j.ajem.2025.06.036.
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.
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).
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.
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.
社区获得性肺炎(CAP)是急诊科就诊和全球死亡的主要原因。快速准确的风险分层对于优化临床决策至关重要。本研究旨在评估APUA评分的预后价值。
这项回顾性队列研究纳入了2023年6月至2024年6月期间入住三级急诊科并随后住院的成年CAP患者。该研究旨在评估APUA评分预测30天死亡率的预后性能。逻辑回归分析确定了死亡率的独立预测因素,并使用受试者工作特征(ROC)曲线分析和曲线下面积(AUC)评估了APUA、CURB-65、PSI和APUA-RO₂的预后性能。
共纳入416例患者(平均年龄66.6±15.4岁,62%为男性),其中47例(11.2%)在30天内死亡。多变量分析确定年龄、白蛋白、尿素、呼吸频率(RR)和动脉血氧分压(PaO₂)为独立的死亡预测因素。与CURB-65相比,APUA评分显示出更好的预测能力(AUC:0.76对0.66),与PSI相当(AUC:0.79)。APUA-RO₂模型进一步提高了辨别力(AUC:0.81),在死亡率预测方面优于CURB-65(p=0.004)和APUA(p=0.002)。
APUA评分是评估CAP严重程度的实用有效工具,与CURB-65相比具有更好的预测性能,同时保持了临床实用性。APUA-RO₂模型进一步增强了风险分层,可能有助于急诊科决策。需要对包括门诊患者在内的更大患者队列进行进一步的验证研究,以提高其临床适用性。