{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T01:16:48Z","timestamp":1728177408459},"reference-count":30,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"funder":[{"name":"The Wenzhou Municipal Science & Technology Bureau, China","award":["Y20210840"],"award-info":[{"award-number":["Y20210840"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:sec>\n               <jats:title>Objectives<\/jats:title>\n               <jats:p>Acute respiratory failure (ARF) is a common complication of bronchial asthma (BA). ARF onset increases the risk of patient death. This study aims to develop a predictive model for ARF in BA patients during hospitalization.<\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title>Methods<\/jats:title>\n               <jats:p>This was a retrospective cohort study carried out at two large tertiary hospitals. Three models were developed using three different ways: (1) the statistics-driven model, (2) the clinical knowledge-driven model, and (3) the decision tree model. The simplest and most efficient model was obtained by comparing their predictive power, stability, and practicability.<\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title>Results<\/jats:title>\n               <jats:p>This study included 398 patients, with 298 constituting the modeling group and 100 constituting the validation group. Models A, B, and C yielded seven, seven, and eleven predictors, respectively. Finally, we chose the clinical knowledge-driven model, whose C-statistics and Brier scores were 0.862 (0.820\u20130.904) and 0.1320, respectively. The Hosmer-Lemeshow test revealed that this model had good calibration. The clinical knowledge-driven model demonstrated satisfactory C-statistics during external and internal validation, with values of 0.890 (0.815\u20130.965) and 0.854 (0.820\u20130.900), respectively. A risk score for ARF incidence was created: The A<jats:sub>2<\/jats:sub>-BEST<jats:sub>2<\/jats:sub> Risk Score (A<jats:sub>2<\/jats:sub> (area of pulmonary infection, albumin), BMI, Economic condition, Smoking, and T<jats:sub>2<\/jats:sub>(hormone initiation Time and long-term regular medication Treatment)). ARF incidence increased gradually from 1.37% (The A<jats:sub>2<\/jats:sub>-BEST<jats:sub>2<\/jats:sub> Risk Score \u2264 4) to 90.32% (A<jats:sub>2<\/jats:sub>-BEST<jats:sub>2<\/jats:sub> Risk Score \u2265 11.5).<\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title>Conclusion<\/jats:title>\n               <jats:p>We constructed a predictive model of seven predictors to predict ARF in BA patients. This predictor\u2019s model is simple, practical, and supported by existing clinical knowledge.<\/jats:p>\n            <\/jats:sec>","DOI":"10.7717\/peerj.16211","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T08:52:49Z","timestamp":1698137569000},"page":"e16211","source":"Crossref","is-referenced-by-count":1,"title":["Predicting the risk of acute respiratory failure among asthma patients\u2014the A2-BEST2 risk score: a retrospective study"],"prefix":"10.7717","volume":"11","author":[{"given":"Yanhong","family":"Qi","sequence":"first","affiliation":[{"name":"General Practice, The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Geriatric Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaying","family":"Lin","sequence":"additional","affiliation":[{"name":"General Practice, The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University, Wenzhou, China"},{"name":"General Practice, Taizhou Women and Children\u2019s Hospital of Wenzhou Medical University, Taizhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingwen","family":"Yang","sequence":"additional","affiliation":[{"name":"General Practice, The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University, Wenzhou, China"},{"name":"General Practice, Taizhou Women and Children\u2019s Hospital of Wenzhou Medical University, Taizhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiangan","family":"Guan","sequence":"additional","affiliation":[{"name":"Geriatric Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keying","family":"Li","sequence":"additional","affiliation":[{"name":"General Practice, The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Weng","sequence":"additional","affiliation":[{"name":"General Practice, The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University, Wenzhou, China"},{"name":"Wenzhou Medicial University, Sourthern Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyi","family":"Wang","sequence":"additional","affiliation":[{"name":"General Practice, The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University, Wenzhou, China"},{"name":"Wenzhou Medicial University, Sourthern Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chan","family":"Chen","sequence":"additional","affiliation":[{"name":"Geriatric Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China"},{"name":"Wenzhou Medicial University, Sourthern Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Xu","sequence":"additional","affiliation":[{"name":"General Practice, The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University, Wenzhou, China"},{"name":"Wenzhou Medicial University, Sourthern Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, 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