Association between placental efficiency with anthropometry and nutritional phenotypes in full-term newborns from the 2010/2011 BRISA birth cohort.

J Pediatr (Rio J)

Universidade de São Paulo (USP), Faculdade de Medicina de Ribeirão Preto (FMRP), Departamento de Puericultura e Pediatria, Ribeirão Preto, SP, Brazil.

Published: June 2024

Objective: To study the association between placental efficiency with anthropometry and nutritional phenotypes in full-term newborns from a birth cohort.

Method: This was a secondary cross-sectional analysis of data obtained in a cohort study (Brazilian RibeirãoPreto and São Luís Birth Cohort Studies - BRISA), whose deliveries were performed between 2010 and 2011. Standardized questionnaires were applied to mothers, and placentas and newborns were evaluated shortly after delivery. Placental efficiency was assessed using the ratio between birth weight and placental weight (BW/PW ratio); values below the lower quartile (25th percentile for gestational age) were considered to have low placental efficiency. Newborn phenotypes were small and large for gestational age, stunted and wasted, evaluated using the INTERGROWTH-21 growth standard. To identify the confounding variables theoretical model was constructed using Directed Acyclic Graphs, and unadjusted and adjusted logistic regression were performed. Placental measurements were obtained blindly from pregnancy and delivery data.

Results: 723 mother-placenta-child triads were studied. 3.2 % of newborns were small-for-gestational-age (SGA), 6.5 %large-for-gestational-age (LGA), 5.7 %had stunting, and 0.27 % wasting. A significantly higher risk was found between low placental efficiency and SGA (OR 2.82;95 % CI 1.05-7.57), stunting (OR 2.23; 95 % CI 1.07-4.65), and wasting (OR 8.22; 95 % CI 1.96-34.37). No relationship was found between LGA and placental efficiency.

Conclusions: Low placental efficiency was associated with increased risk for small-for-gestational-age, stunting, and wasting. Placental morphometry can provide valuable information on intrauterine conditions and neonatal health, helping to identify newborns at higher risk of future comorbidities.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11331232PMC
http://dx.doi.org/10.1016/j.jped.2023.11.011DOI Listing

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