{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:55:20Z","timestamp":1755222920218,"version":"3.43.0"},"reference-count":34,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T00:00:00Z","timestamp":1740268800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["iubmb.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Biotech and App Biochem"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>Moderate\u2010to\u2010severe bronchopulmonary dysplasia (msBPD) is a prevalent and severe condition in very preterm infants, contributing to long\u2010term respiratory issues. Developing a predictive model specific to the Chinese population could support early intervention. This research focused on determining risk factors and developing a predictive model for msBPD in very preterm infants with respiratory distress, following the 2018 National Institute of Child Health and Human Development criteria. A prospective multicenter study was conducted across 26 tertiary neonatal intensive care units (NICUs) in China from March 2020 to March 2022. Infants born at &lt;\u00a032 weeks' gestation, admitted within 72\u00a0h of birth with a respiratory score \u2265\u00a05, were enrolled. Infants were assigned at random to either a training cohort (800 infants from 18 NICUs) or an external validation cohort (397 infants from 8 NICUs). Predictive factors were identified using multivariate logistic regression and Lasso regression, leading to the development of a prediction nomogram. Key independent predictors included birth weight, surfactant use, early pulmonary hypertension, duration of invasive mechanical ventilation, and necrotizing enterocolitis (Stages II\u2013III). The model demonstrated high accuracy in the training cohort (AUC\u00a0=\u00a00.844) with good calibration (Hosmer\u2013Lemeshow test, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.247). Independent validation showed consistent discrimination (AUC\u00a0=\u00a00.849) and calibration (Hosmer\u2013Lemeshow test, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.333), while decision curve analysis confirmed clinical benefit. The developed nomogram\u2010based model offers reliable early msBPD risk assessment in very preterm infants, supporting timely clinical interventions within Chinese NICUs.<\/jats:p>","DOI":"10.1002\/bab.2718","type":"journal-article","created":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T04:28:33Z","timestamp":1740630513000},"page":"1018-1027","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Prediction Nomogram for Moderate\u2010to\u2010Severe Bronchopulmonary Dysplasia in Chinese Very Preterm Infants With Respiratory Distress: A Multi\u2011Center Prospective Study"],"prefix":"10.1002","volume":"72","author":[{"given":"Chenhong","family":"Wang","sequence":"first","affiliation":[{"name":"Neonatal Intensive Care Unit, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health  Hangzhou Zhejiang 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China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Neonatology Children's Hospital of Chongqing Medical University  Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6506-0364","authenticated-orcid":false,"given":"Liping","family":"Shi","sequence":"additional","affiliation":[{"name":"Neonatal Intensive Care Unit, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health  Hangzhou Zhejiang China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"on the behalf of the China\u2010BPD Cohort Study Group 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