{
  "abstract": "Objective Existing predictive models for bronchopulmonary dysplasia (BPD) often lack external validation, limiting their clinical use. This study aimed to externally validate recent BPD prediction models using baseline variables, in a population-based cohort.Design This was an external validation study conducted on data collected from 2014 to 2021.Setting This was a retrospective, multicentre, population-level cohort with prospectively collected data.Participants Extremely low gestational age neonates recorded in the SwissNeoNet registry across all nine level III neonatal care units in Switzerland (n=1748) were included.Interventions Recent BPD prediction models estimating the risk of BPD or death at 36 weeks postmenstrual age, based on predictors available within the first 24 hours of life.Main outcome measures The primary outcome was survival without BPD. A systematic literature search identified five eligible models, which were externally validated and recalibrated for the Swiss cohort. The most performant model was further optimised to improve local applicability.Results Among 693 screened studies, five models based solely on perinatal variables were included. Without recalibration, models showed fair discrimination (area under the curve (AUC) 0.70–0.76) but variable calibration (observed/expected (O/E) 0.58–0.80). After recalibration, AUCs ranged from 0.69 to 0.76, and calibration improved (O/E 0.58–1.61). The optimised version of the best-performing model demonstrated improved calibration (O/E 1.03) and was validated in the Swiss population.Conclusion By comparing and externally validating existing BPD prediction models, we propose an optimised model using baseline variables at birth, enhancing its applicability to both the Swiss population and similar clinical contexts.",
  "authors": [
    {
      "affiliations": [
        "Division of General Pediatrics, Geneva University Hospitals, Geneva, Switzerland"
      ],
      "name": "C Bleeker"
    },
    {
      "affiliations": [
        "Department of Neonatology, University of Zurich, Zürich, ZH, Switzerland",
        "Epidemiology, Biostatistics and Prevention Institute, University Zurich, Zurich, Schweiz, Switzerland"
      ],
      "name": "Mark Adams"
    },
    {
      "affiliations": [
        "Department Woman-Mother-Child, University of Lausanne Faculty of Biology and Medicine, Lausanne, VD, Switzerland"
      ],
      "name": "Juliane Schneider"
    },
    {
      "affiliations": [
        "Inselspital University Hospital Bern Children’s Clinic, Bern, BE, Switzerland"
      ],
      "name": "Benedikt Bubl"
    },
    {
      "affiliations": [
        "University Children’s Hospital Basel UKBB, University of Basel, Basel, Switzerland"
      ],
      "name": "Sven Schulzke"
    },
    {
      "affiliations": [
        "Department of Paediatrics, Neonatal and Paediatric Intensive Care Unit, University of Lucerne, Lucerne, LU, Switzerland"
      ],
      "name": "C M Luhmann-Lunt"
    },
    {
      "affiliations": [
        "Department of Neonatology, Cantonal Hospital Aarau, Aarau, Switzerland"
      ],
      "name": "P Meyer"
    },
    {
      "affiliations": [
        "Department of Neonatology and Pediatric Intensive Care, Children’s Hospital St. Gallen, St Gallen, Switzerland",
        "Department of Neonatology, University Hospital Zurich, Zürich, Switzerland"
      ],
      "name": "A Birkenmaier"
    },
    {
      "affiliations": [
        "Neonatology, UniversitatsSpital Zurich Klinik fur Neonatologie, Zurich, Switzerland"
      ],
      "name": "Dirk Bassler"
    },
    {
      "affiliations": [
        "Department of Neonatology and Pediatric Intensive Care, Children’s hospital Chur, Chur, Switzerland"
      ],
      "name": "Bjarte Rogdo"
    },
    {
      "affiliations": [
        "Neonatology, Pontificia Universidad Catolica de Chile, Santiago, Chile"
      ],
      "name": "Jose Luis Tapia Illanes"
    },
    {
      "affiliations": [
        "Duke Clinical Research Institute, Durham, North Carolina, USA"
      ],
      "name": "Rachel Greenberg"
    },
    {
      "affiliations": [
        "Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina, USA"
      ],
      "name": "Matthiew Laughon"
    },
    {
      "affiliations": [
        "Faculty of Economics School of Management, University of Louvain, Louvain, Belgium",
        "Faculty of Medicine, University of Melbourne, Melbourne, Victoria, Australia"
      ],
      "name": "Philippe Lehert"
    },
    {
      "affiliations": [
        "Neonatal Medicine and Intensive Care Unit Port-Royal, Assistance Publique - Hopitaux de Paris, Paris, Île-de-France, France",
        "Obstetric, Perinatal, Paediatric and Life Course Epidemiology Team (OPPaLE), Center for Research in Epidemiology and StatisticS (CRESS), Paris, France",
        "FHU Prem'IMPACT, Paris, France",
        "Faculty of Medicine, Université Paris Cité, Inserm, NeuroDiderot 75019 Paris, France, Paris, France",
        "Department of Paediatrics, Gynaecology and Obstetrics, Faculty of Medicine, University of Geneva, Geneva, Switzerland"
      ],
      "name": "Olivier Baud"
    },
    {
      "affiliations": [],
      "name": "Swiss Neonatal Network"
    }
  ],
  "title": "Survival without bronchopulmonary dysplasia in extremely preterm infants: an external, population-based validation, comparison and optimisation study of recent prediction models at baseline",
  "uid": "d879f2e4-1555-5e49-b15d-e43e6fc7f0d5"
}