ArticleInternational journal of chronic obstructive pulmonary disease2023
Risk Factors of Readmission Within 90 Days for Chronic Obstructive Pulmonary Disease Patients with Frailty and Construction of an Early Warning Model.
Article in International journal of chronic obstructive pulmonary disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effectiveness of community-based management models in chronic obstructive pulmonary disease: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- A systematic review and meta-analysis of chronic obstructive pulmonary disease in asia: risk factors for readmission and readmission rate.BMC pulmonary medicine · 2024Pooled it
- Development and validation of a nomogram model for predicting one-year unplanned readmission in patients with chronic obstructive pulmonary disease.European journal of medical research · 2025Article
- COTE and Pulmonary Comorbidities Predict Moderate-to-Severe Acute Exacerbation and Hospitalization in COPD.International journal of chronic obstructive pulmonary disease · 2025Article
- Development and Validation of a Risk Prediction Model for Frailty in Patients with Chronic Diseases.Gerontology & geriatric medicineArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Objective: This study aimed to explore the risk factors for readmission within 90 d in Chronic Obstructive Pulmonary Disease (COPD) patients with frailty and construct a clinical warning model. Methods: COPD patients with frailty hospitalized in the Department of Respiratory and Critical Care Medicine of Yixing Hospital, Affiliated to Jiangsu University, were retrospectively collected from January 1, 2020, to June 30, 2022. Patients were divided into readmission and control groups according to readmission within 90 d. The clinical data of the two groups were evaluated by univariate and multivariate logistic regression analyses to identify readmission risk factors within 90 d in COPD patients with frailty. Then, a risk quantitative early warning model was constructed. Finally, the model's prediction efficiency was evaluated, and external verification was carried out. Results: The multivariate logistic regression analysis showed that BMI, number of hospitalizations in the past year ≥ 2, CCI, REFS, and 4MGS were independent risk factors for readmission within 90 d in COPD patients with frailty. The early warning model for these patients was established as follows: Logit (p) = -1.896 + (-0.166 × BMI) + (0.969 × number of hospitalizations in the past year ≥ 2) + (0.265 × CCI) + (0.405 × REFS) + (-3.209 × 4MGS), and presented an area under the ROC curve (AUC) of 0.744 [95% CI: 0.687-0.801]. The AUC of the external validation cohort was 0.737 (95% CI: 0.648-0.826), and the AUC of the LACE warning model was 0.657 (95% CI:0.552-0.762). Conclusion: The BMI, number of hospitalizations in the past year ≥ 2, CCI, REFS, and 4MGS were independent risk factors for readmission within 90 d in COPD patients with frailty. The early warning model presented a moderate predictive value for assessing the risk of readmission within 90 d in these patients.
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