{
  "abstract": "Background This study aimed to critically evaluate the web-based National Institute of Child Health and Human Development (NICHD) bronchopulmonary dysplasia (BPD) outcome estimator (2022) regarding its models on postnatal days 1, 3, 7, 14 and 28 in predicting grade 2 and grade 3 BPD as well as the combined outcome of death or grade 2 to grade 3 BPD at 36 weeks postmenstrual age (PMA) or discharge if earlier.Methods This single-centred retrospective cohort study included neonates with birth weights of 501–1250 g and born between 23 +0 and 28+6 weeks of gestational age. We used the C-statistic receiver operating characteristic area under the curve (AUC) to predict the predetermined outcomes of grade 2 and grade 3 BPD as well as the composite outcome of death or progression from grade 2 to grade 3 BPD at 36 weeks PMA or discharge, whichever came first.Results The AUC values were 0.71 on postnatal day 7 and 0.76 on postnatal day 14, indicating that the prediction accuracy for the composite outcome of death or grade 2–3 BPD at 36 weeks PMA on days 7 and 14 has limited clinical utility.Conclusion The NICHD web-based Neonatal BPD Outcome Estimator (2022) has moderate accuracy as evidenced by the AUCs of 0.76 on postnatal day 14 in predicting the outcome of grade 2–3 BPD and the composite outcome of death or grade 2–3 BPD at 36 weeks PMA or discharge if earlier.",
  "authors": [
    {
      "affiliations": [
        "Pediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia"
      ],
      "name": "Alaa Abuzaid"
    },
    {
      "affiliations": [
        "Pediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia"
      ],
      "name": "Shadi Noaman Garrada"
    },
    {
      "affiliations": [
        "Pediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia"
      ],
      "name": "Hebah Salem Abdullah Alsaihati"
    },
    {
      "affiliations": [
        "Pediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia"
      ],
      "name": "Zainab Alali"
    },
    {
      "affiliations": [
        "Pediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia"
      ],
      "name": "Fatimah Arif Alabbad"
    },
    {
      "affiliations": [
        "Pediatrics & Neonatology, King Hamad American Mission Hospital, Aali, Bahrain"
      ],
      "name": "Jemila James"
    }
  ],
  "title": "Validation of a web-based clinical tool for predicting the risk of bronchopulmonary dysplasia in extremely preterm infants: a retrospective cohort study",
  "uid": "3116aa5e-6273-5179-9a2a-6d9528c50884"
}