Abstract |
Community-acquired pneumonia (CAP) is a respiratory disease frequently requiring hospital admission, and a significant cause of death worldwide. This study aimed to investigate the prognostic value of clinical indicators. A prospective, multi-center study was conducted (January 2017-December 2018) where patient demographic and clinical data were recorded (N = 366). The 30-day mortality rate was 5.46%. Cox Regression analyses showed that serum albumin (ALB) and respiratory rate (RR) were independent prognostic variables for 30-day survival in patients with CAP. Albumin negatively correlated with the Pneumonia Severity Index (PSI) and CURB-65 scores using Pearson and Spearman tests. Survival curves showed that a RR >24 breaths/min or ALB ≤30 g/L were associated with a significantly higher risk of mortality. The area-under-the-curve (AUC) for predicting 30-day mortality in patients with CAP was 0.762, 0.763, 0.790, and 0.784 for ALB, RR, PSI, and CURB-65, respectively. The AUC for the prediction of 30-day mortality using ALB combined with PSI, CURB-65 scores, and RR was 0.822 (95% CI 0.731-0.912), 0.847 (95% CI 0.755-0.938), and 0.847 (95% CI 0.738-0.955), respectively. Albumin and RR were found to be reliable prognostic factors for CAP. This combination showed equal predictive value when compared to adding ALB assessment to PSI and CURB-65 scores, which could improve their prognostic accuracy.
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Authors | Lili Zhao, Jing Bao, Ying Shang, Ying Zhang, Lu Yin, Yan Yu, Yu Xie, Li Chen, Yali Zheng, Yu Xu, Zhancheng Gao |
Journal | PloS one
(PLoS One)
Vol. 16
Issue 3
Pg. e0248002
( 2021)
ISSN: 1932-6203 [Electronic] United States |
PMID | 33662036
(Publication Type: Clinical Trial, Journal Article, Multicenter Study, Observational Study, Research Support, Non-U.S. Gov't)
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Chemical References |
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Topics |
- Aged
- Area Under Curve
- Community-Acquired Infections
(blood, diagnosis, physiopathology)
- Female
- Humans
- Male
- Middle Aged
- Prognosis
- Prospective Studies
- Respiratory Rate
- Serum Albumin, Human
(analysis)
- Severity of Illness Index
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