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The prognostic value of serum albumin levels and respiratory rate for community-acquired pneumonia: A prospective, multi-center study
Author(s) -
Lili Zhao,
Jing Bao,
Ying Shang,
Ying Zhang,
Yin Lu,
Yan Yu,
Yong Xie,
Li Chen,
Yali Zheng,
Yu Xu,
Zhancheng Gao
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0248002
Subject(s) - medicine , community acquired pneumonia , pneumonia severity index , prospective cohort study , pneumonia , proportional hazards model , mortality rate , area under the curve , gastroenterology , albumin
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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