Modelling predictive gender- and gestation-specific weight reference centiles for preterm infants using a population-based cohort study
Autor: | Anitha James, Mallinath Chakraborty, Hesham Nasef, W. John Watkins, Daniel Farewell, Sujoy Banerjee |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
medicine.medical_specialty Epidemiology Large population lcsh:Medicine Gestational Age Models Biological Standard deviation Article 03 medical and health sciences Population based cohort 0302 clinical medicine Child Development 030225 pediatrics Medicine Birth Weight Humans 030212 general & internal medicine Growth Charts Prospective cohort study lcsh:Science Multidisciplinary business.industry Obstetrics Specific weight lcsh:R Infant Newborn Cohort Gestation Female lcsh:Q Neonatology business Infant Premature Test data |
Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020) Scientific Reports |
ISSN: | 2045-2322 |
Popis: | We aimed to model longitudinal data to create predictive growth charts for weight in preterm infants from birth till discharge, that took into account the differing growth rates post-birth when compared to in-utero growth and therefore was more representative of the data than the UK1990 reference charts. Data from birth until discharge (or death), was collected and rigorously cleaned for all infants born at vs actual weights for the new model with those predicted by the UK1990 model. Data from 1,510 preterm infants was analysed. 1067 of these were used to produce the predictive model. Weekly SDS were significantly lower than predicted throughout hospital stay for all gestation groups when compared with UK1990 data. The test data (n = 539) fitted the new centile lines substantially better than those modelled by the UK1990 centile lines. Mixed modelling of longitudinal data produced new predictive references for weight centiles of preterm infants. A large population-based prospective study is needed to produce representative longitudinal reference growth charts using these methods. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |