Prediction of readmission in patients with acute exacerbation of chronic obstructive pulmonary disease within one year after treatment and discharge

• Published in: BMC pulmonary medicine 2021-10, Vol.21 (1), p.320-320, Article 320
• Main Authors: Chen, Lili, Chen, Shiping
• Format: Article
• Language: English
• Subjects: Acute Disease; Acute exacerbation of chronic obstructive pulmonary disease; Adrenal Cortex Hormones - therapeutic use; Aged; Aged, 80 and over; Algorithms; Antihypertensives; Blood pressure; China; Chronic obstructive pulmonary disease; Complications and side effects; Corticosteroids; Diabetes; Disease; Disease Progression; Female; Glucose; Heart failure; Hemoglobin; Hospital care; Hospitalization; Hospitals; Humans; Hypertension; Logistic model; Logistic Models; Lung diseases; Lung diseases, Obstructive; Male; Middle Aged; Obstructive lung disease; Patient Discharge; Patient outcomes; Patient Readmission - statistics & numerical data; Patients; Pulmonary Disease, Chronic Obstructive - diagnosis; Pulmonary Disease, Chronic Obstructive - drug therapy; Pulmonary Disease, Chronic Obstructive - physiopathology; Pulmonology; Readmission; Risk Assessment - methods; Risk Factors; Smoking; Time; Transaminase; XGBoost model
• ISSN: 1471-2466; 1471-2466
• DOI: 10.1186/s12890-021-01692-3

To investigate the risk factors and construct a logistic model and an extreme gradient boosting (XGBoost) model to compare the predictive performances for readmission in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients within one year. In total, 636 patients with AECOPD were recruited and divided into readmission group (n = 449) and non-readmission group (n = 187). Backward stepwise regression method was used to analyze the risk factors for readmission. Data were divided into training set and testing set at a ratio of 7:3. Variables with statistical significance were included in the logistic model and variables with P