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Comparative analysis of foetal and neonatal growth curves.
СтатьяСравнительное исследованиеНазвание и аннотация: Перевод в очереди
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Figueras-Aloy Josep, Izquierdo Renau Montserrat, Herranz Barbero Ana, Urquía Martí Lourdes, García-Muñoz Rodrigo Fermín, Iriondo-Sanz Martín, García Algar Óscar
Аннотация
INTRODUCTION: Our aim was to determine which foetal or neonatal growth curves discriminate the probability of dying of newborns with low birth weight for their gestational age (small for gestational age, SGA) and sex (weight < 10th percentile) and to establish the curves that are presumably most useful for monitoring growth through age 10 years.
MATERIAL AND METHODS: The analysis included every neonate (15 122) managed in our hospital (2013-2022) and all neonates born preterm before 32 weeks (6913) registered in the SEN1500 database (2019-2022). We considered most useful those curves with the highest likelihood ratio (LR) for dying with or without a history of SGA in each subgroup of gestational ages. Theoretically, the optimal curves for monitoring growth would be those with a higher R2 in the quantile regression formulas for the 50th percentile.
RESULTS: The growth curves exhibiting the strongest association between SGA and hospital mortality are the Intergrowth fetal curves and the Fenton neonatal curves in infants born preterm before 32 weeks. However, the optimal curves for premature babies and neonates overall were those of Olsen and Intergrowth. The most useful curves to monitor anthropometric values alone until age 10 years of age are the longitudinal Intergrowth curves followed by the WHO standards, but if a single reference is desired from birth through age 10 years, the best option is the Fenton curves followed by the WHO standards.
CONCLUSIONS: The Intergrowth reference provides the most discriminating foetal growth curves. In neonatal clinical practice, the optimal references are the Fenton followed by the WHO charts.
MATERIAL AND METHODS: The analysis included every neonate (15 122) managed in our hospital (2013-2022) and all neonates born preterm before 32 weeks (6913) registered in the SEN1500 database (2019-2022). We considered most useful those curves with the highest likelihood ratio (LR) for dying with or without a history of SGA in each subgroup of gestational ages. Theoretically, the optimal curves for monitoring growth would be those with a higher R2 in the quantile regression formulas for the 50th percentile.
RESULTS: The growth curves exhibiting the strongest association between SGA and hospital mortality are the Intergrowth fetal curves and the Fenton neonatal curves in infants born preterm before 32 weeks. However, the optimal curves for premature babies and neonates overall were those of Olsen and Intergrowth. The most useful curves to monitor anthropometric values alone until age 10 years of age are the longitudinal Intergrowth curves followed by the WHO standards, but if a single reference is desired from birth through age 10 years, the best option is the Fenton curves followed by the WHO standards.
CONCLUSIONS: The Intergrowth reference provides the most discriminating foetal growth curves. In neonatal clinical practice, the optimal references are the Fenton followed by the WHO charts.