Advancing ICU mortality prediction in community-acquired pneumonia: Combining fibrinogen-to-albumin ratio, CT severity score, PSI, and CURB-65.

0 MEDICINE, RESEARCH & EXPERIMENTAL
Ece Unal Cetin, Ozge Kurtkulagi, Fatih Kamis, Murat Das, Esen Simsek, Adil Ugur Cetin, Yavuz Beyazit
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引用次数: 0

Abstract

Community-acquired pneumonia (CAP) is a leading cause of ICU admissions, with significant morbidity and mortality. Traditional risk stratification tools, such as CURB-65, the pneumonia severity index (PSI), and computed tomography severity scores (CT-SS) are widely used for prognosis but could be improved by incorporating novel biomarkers. This retrospective study evaluated the fibrinogen-to-albumin ratio (FAR) as an additional predictor of 30-day mortality in ICU patients with CAP. A total of 158 CAP patients admitted to a tertiary care ICU were included. Baseline data encompassed demographic, clinical, laboratory, and radiological parameters, including FAR, CURB-65, PSI, and CT-SS. Logistic regression and receiver operating characteristic curve (ROC) analyses were conducted to assess mortality predictors. The 30-day mortality rate was 70.88% (112/158). Higher FAR, PSI, CURB-65, CT-SS, and lactate levels were independently associated with increased mortality (P < 0.05). FAR demonstrated strong discriminatory power (area under the receiver operating characteristic [AUROC]: 0.704) and significantly improved the predictive accuracy of established models. Adding FAR to PSI increased the AUROC from 0.705 to 0.791 (P = 0.009), while combining FAR, CT-SS, and PSI yielded the highest predictive accuracy (AUROC: 0.844, P = 0.032). These findings suggest that FAR, which reflects both inflammation and nutritional status, complements traditional risk assessment tools by providing a dynamic perspective. Integrating FAR into existing models enhances the identification of high-risk patients, enabling timely interventions and more efficient resource allocation in the ICU.

推进社区获得性肺炎的 ICU 死亡率预测:结合纤维蛋白原白蛋白比值、CT 严重程度评分、PSI 和 CURB-65。
社区获得性肺炎(CAP)是ICU入院的主要原因,具有显著的发病率和死亡率。传统的风险分层工具,如CURB-65、肺炎严重程度指数(PSI)和计算机断层扫描严重程度评分(CT-SS)被广泛用于预后,但可以通过结合新的生物标志物来改善。这项回顾性研究评估了纤维蛋白原与白蛋白比率(FAR)作为ICU CAP患者30天死亡率的额外预测因子。共有158名CAP患者被纳入三级护理ICU。基线数据包括人口统计学、临床、实验室和放射学参数,包括FAR、CURB-65、PSI和CT-SS。采用Logistic回归和受试者工作特征曲线(ROC)分析评估死亡率预测因子。30 d死亡率为70.88%(112/158)。较高的FAR、PSI、CURB-65、CT-SS和乳酸水平与死亡率增加独立相关(P < 0.05)。FAR表现出较强的分辨能力(接收机工作特征下面积[AUROC]: 0.704),显著提高了已建立模型的预测精度。将FAR加入PSI使AUROC从0.705增加到0.791 (P = 0.009),而FAR、CT-SS和PSI联合使用的预测准确率最高(AUROC: 0.844, P = 0.032)。这些发现表明,反映炎症和营养状况的FAR通过提供动态视角来补充传统的风险评估工具。将FAR整合到现有模型中可以增强对高危患者的识别,使ICU能够及时干预并更有效地分配资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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