{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T20:09:33Z","timestamp":1791230973320,"version":"4.1.0"},"reference-count":21,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"23","license":[{"start":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T00:00:00Z","timestamp":1749168000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,6]]},"abstract":"<jats:p>This study aims to evaluate risk factors for readmission within 6 months after acute exacerbation of chronic obstructive pulmonary disease (COPD) and to develop a multifactorial predictive model. A total of 151 patients with acute exacerbation of COPD, admitted to our hospital from October 2021 to December 2023, were included in this retrospective analysis. Data on baseline characteristics, medical history, lung function, lifestyle, comorbidities, inflammatory markers, and treatment adherence were obtained from electronic medical records to identify risk factors associated with readmission. Univariate and multivariate logistic regression analyses were used to identify independent risk factors, construct a predictive model, and assess its predictive efficacy using the receiver operating characteristic (ROC) curve. Patients in the readmission group were older (69.8\u2005\u00b1\u20059.5 years vs 65.2\u2005\u00b1\u20058.4 years, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.048), had a higher proportion of males (76.4% vs 59.5%, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.032), higher body mass index (25.3\u2005\u00b1\u20053.8\u2009kg\/m<jats:sup>2<\/jats:sup> vs 23.1\u2005\u00b1\u20053.2\u2009kg\/m<jats:sup>2<\/jats:sup>, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.018), more frequent exacerbations (3.2\u2005\u00b1\u20051.0 episodes vs 1.5\u2005\u00b1\u20050.8 episodes, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.009), longer disease duration (12.1\u2005\u00b1\u20057.3 years vs 8.4\u2005\u00b1\u20055.7 years, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.043), and higher GOLD classification (70% in stages III\u2013IV vs 50%, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.043) and BODE index (5.1\u2005\u00b1\u20051.4 vs 3.8\u2005\u00b1\u20051.2, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.022). Additionally, they had a higher prevalence of cardiovascular comorbidities (55.6% vs 31.6%, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.015), lower FEV<jats:sub>1<\/jats:sub> levels (45.3\u2005\u00b1\u200510.1% vs 52.7\u2005\u00b1\u20058.5%, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.033), higher levels of C-reactive protein (CRP) (15.2\u2005\u00b1\u20056.5\u2009mg\/L vs 10.4\u2005\u00b1\u20054.9\u2009mg\/L, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.005), fractional exhaled nitric oxide (FeNO) (32.5\u2005\u00b1\u200510.4 ppb vs 26.7\u2005\u00b1\u20058.9 ppb, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.03), and end-tidal carbon dioxide partial pressure (PetCO<jats:sub>2<\/jats:sub>) (40.1\u2005\u00b1\u20056.3\u2009mm Hg vs 36.2\u2005\u00b1\u20055.7\u2009mm Hg, <jats:italic toggle=\"yes\">P<\/jats:italic>\u2005=\u2005.028), all of which were significant independent risk factors for readmission. The area under the ROC curve for the multivariate regression model was 0.801, indicating good predictive efficacy. This study evaluates multiple factors affecting readmission risk after acute exacerbation of COPD, highlighting the importance of early identification of high-risk patients and constructing an effective predictive model. Further large-sample, multi-center studies are needed to validate these findings and explore personalized interventions to reduce readmission rates and improve the quality of life for COPD patients.<\/jats:p>","DOI":"10.1097\/md.0000000000041997","type":"journal-article","created":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T21:01:32Z","timestamp":1749502892000},"page":"e41997","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":4,"title":["The analysis of risk factors associated with readmission in patients with exacerbation of COPD"],"prefix":"10.1097","volume":"104","author":[{"given":"Haibing","family":"Su","sequence":"first","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine, Gong\u2019an County People\u2019s Hospital Jingzhou, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine, Gong\u2019an County People\u2019s Hospital Jingzhou, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3695-0010","authenticated-orcid":false,"given":"Jie","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Geriatric Medicine, Gong\u2019an County People\u2019s Hospital Jingzhou, Hubei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"R1-20250609","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1136\/gutjnl-2020-322599","article-title":"Gut microbiota modulates COPD pathogenesis: role of anti-inflammatory Parabacteroides goldsteinii lipopolysaccharide.","volume":"71","author":"Lai","year":"2022","journal-title":"Gut"},{"key":"R2-20250609","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1146\/annurev-physiol-021317-121224","article-title":"Genetics of 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