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Details

Autor(en) / Beteiligte
Titel
Individualized Somatic Classification of Newborns Using Birth Weight Percentiles Based On Maternal Body Height and Weight (Results of a Validation Study)
Ist Teil von
  • Zeitschrift fur Geburtshilfe und Neonatologie, 2022-12, Vol.226 (6), p.377
Ort / Verlag
Germany
Erscheinungsjahr
2022
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • Birth weight is influenced by maternal anthropometry. The SGA-rate of newborns of short and light mothers (<158 cm,<53 kg) and the LGA-rate of tall and heavy mothers (>177 cm,>79 kg) are overestimated. The LGA-rate of newborns of shorter mothers and the SGA-rate of taller mothers are underestimated. Individualized birth weight percentiles (IBWP) based on 18 maternal groups (6 groups of height combined with 3 groups of weight), sex and weeks of gestation have been published. The aim of this study is to validate IBWP by evaluating SGA-, AGA-, and LGA-rates using perinatal data. The validation study compares IBWP (1995 to 2000, n=2.2 million singletons) with percentile values from two German cohorts (i: 1995 to 2000; n=2.3 million and ii: 2007 to 2011, n=3.2 million singletons) using newborns from the Lower Saxony Perinatal Survey (n=0.56 million singleton newborns, 2001 to 2009). SGA-, AGA-, and LGA-rates were calculated using R statistical analysis. Common percentile charts based on the total population 1995-2000 and 2007-2011 yielded SGA-rates among shorter mothers of 21.1 to 21.6% and LGA-rates of 2.0 to 3.1%. In taller mothers, SGA-rates were 3.3 to 3.5% and LGA-rates were 26.6 to 27.1%. IBWP achieved SGA-rates of 9.0% and LGA-rates of 11.4 to 11.6% in shorter mothers and SGA- and LGA-rates of 10% in taller mothers. IBWP consider the maternal size for estimation of the fetal growth potential and achieve expected SGA- and LGA-rates of 10%. Consideration of individual growth potential avoids underestimation and overestimation of SGA- and LGA-rates. It aided analyses of birth weight with IBWP simplify the assessment of the nutritional status.
Sprache
Deutsch
Identifikatoren
eISSN: 1439-1651
DOI: 10.1055/a-1830-5519
Titel-ID: cdi_pubmed_primary_36265498

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