The arrival ward requiring help by wheelchair or medical cart, arterial oxygenation index, age, albumin and neutrophil count score: Predicting in-hospital mortality in Chinese patients with acute exacerbations of chronic obstructive pulmonary disease

DOI

https://doi.org/10.25384/sage.c.6801776

Dataset

Dawei Chen (Creator)
Caimei Chen (Creator)
Pan Zhang (Creator)
Feng Zhang (Creator)
Hao ZhangShanghai Jiao Tong University, Yunnan Academy of Agricultural Sciences, Department of Pathology, The First Affiliated Hospital of Hainan Medical University, Haikou, China;, Second Affiliated Hospital of Harbin Medical University, Beijing Anzhen Hospital, Nanjing Medical University, Zhongnan Hospital of Wuhan University, Hunan Agricultural University, Sichuan University, Dalian University of Technology, Huazhong University of Science and Technology, Shanghai Stomatological Hospital, Heilongjiang Provincial Hospital, Wenzhou Medical University, Nanyang Technological University, Shandong University, South China University of Technology, University of Arizona, First Affiliated Hospital of Harbin Medical University, Guangdong University of Petrochemical Technology, China agricultural University, Jiangnan University, Chongqing Medical University, Jilin University, Chinese Academy of Medical Sciences & Peking Union Medical College, McGill University, Jiangsu Province Hospital, Second Affiliated Hospital of Nanjing Medical University, Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Chinese Academy of Sciences, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing , China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing , China, Urology Department The Affiliated Qingdao Central Hospital of Qingdao University, The Second Affiliated Hospital of Medical College of Qingdao University Qingdao Shandong China, Cornell University, Ruian People's Hospital, Harvard University, Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China., Zhejiang University, Northwestern Polytechnical University Xian, Changhai Hospital, Shanghai Children's Medical Center, Jinan University, Guangdong Pharmaceutical University, Ruijin Hospital, University of Chinese Academy of Sciences, Ocean University of China, Henan Normal University, Nanjing Agricultural University, University of Victoria, Hubei Academy of Agricultural Sciences, Nanchang University, Fudan University (Creator)
Qing Sun (Creator)
Jian Sun (Creator)
Yan Tan (Creator)
Binbin Pan (Creator)
Xin Wan (Creator)

Description

BackgroundIn this study, we will derive and validate a prognostic tool to predict in-hospital death based on Chinese acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients.MethodsIndependent predictors of in-hospital death were identified by logistic regression analysis and incorporated into a clinical prediction tool.ResultsThe clinical prediction model was developed with data from 1121 patients and validated with data from 245 patients. The five predictors of in-hospital death from the development cohort (Arrival ward requiring help by wheelchair or medical cart, Arterial oxygenation index, Age, Albumin and Neutrophil count) were combined to form the AAAAN Score. The AAAAN Score achieved good discrimination (AUC = 0.85, 95% CI 0.81–0.89) and calibration (Hosmer-Lemeshow chi-square value was 3.33, p = 0.65). The AAAAN Score, which underwent internal bootstrap validation, also showed excellent discrimination for mortality (AUC = 0.85, 95% CI 0.81 to 0.89) and performed more strongly than other clinical prediction tools. Patients were categorized into 3 risk groups based on the scores: low risk (0–2 points, 0.7% in-hospital mortality), intermediate risk (3–4 points, 4.1% in-hospital mortality), and high risk (5–7 points, 23.4% in-hospital mortality). Predictive performance was confirmed by external validation.ConclusionsThe AAAAN Score is a prognostic tool to predict in-hospital death in Chinese AECOPD patients.

Date made available	2023
Publisher	SAGE Journals

Contact person

rdm@lancaster.ac.uk

Research

DOI