Author:
Ma Chun-Ming,Wang Ning,Su Quan-Wei,Yan Ying,Wang Si-Qiong,Ma Cui-Hua,Liu Xiao-Li,Dong Shao-Chen,Lu Na,Yin Li-Yong,Yin Fu-Zai
Abstract
ObjectiveThe predictive performances of CURB-65 and pneumonia severity index (PSI) were poor in patients with diabetes. This study aimed to develop a tool for predicting the short-term and long-term outcomes of CAP in patients with diabetes.MethodsA retrospective study was conducted on 531 CAP patients with type 2 diabetes. The short-term outcome was in-hospital mortality. The long-term outcome was 24-month all-cause death. The APUA score was calculated according to the levels of Age (0-2 points), Pulse (0-2 points), Urea (0-2 points), and Albumin (0-4 points). The area under curves (AUCs) were used to evaluate the abilities of the APUA score for predicting short-term outcomes. Cox regression models were used for modeling relationships between the APUA score and 24-month mortality.ResultsThe AUC of the APUA score for predicting in-hospital mortality was 0.807 in patients with type 2 diabetes (P<0.001). The AUC of the APUA score was higher than the AUCs of CURB-65 and PSI class (P<0.05). The long-term mortality increased with the risk stratification of the APUA score (low-risk group (0-1 points) 11.5%, intermediate risk group (2-4 points) 16.9%, high risk group (≥5 points) 28.8%, P<0.05). Compared with patients in the low-risk group, patients in the high-risk group had significantly increased risk of long-term death, HR (95%CI) was 2.093 (1.041~4.208, P=0.038).ConclusionThe APUA score is a simple and accurate tool for predicting short-term and long-term outcomes of CAP patients with diabetes.
Funder
Hebei Provincial Key Research Projects
Subject
Endocrinology, Diabetes and Metabolism
Cited by
5 articles.
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