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Vulnerable newborn phenotypes in Peru: a population-based study of 3,841,531 births at national and subnational levels from 2012 to 2021.
Cajachagua-Torres, Kim N; Quezada-Pinedo, Hugo G; Guzman-Vilca, Wilmer Cristobal; Tarazona-Meza, Carla; Carrillo-Larco, Rodrigo M; Huicho, Luis.
Afiliación
  • Cajachagua-Torres KN; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Quezada-Pinedo HG; Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Guzman-Vilca WC; Department of Pediatrics, New York University Grossman of Medicine, New York University, New York, NY, USA.
  • Tarazona-Meza C; Centro de Investigación en Salud Materna e Infantil and Centro de Investigación para el Desarrollo Integral y Sostenible, Universidad Peruana Cayetano Heredia, Lima, Peru.
  • Carrillo-Larco RM; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Huicho L; Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Lancet Reg Health Am ; 31: 100695, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38500961
ABSTRACT

Background:

We aimed to examine the national and subnational prevalence of vulnerable newborn phenotypes in Peru, 2012-2021.

Methods:

Newborn phenotypes were defined using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight [LBW], non-LBW) using the Peruvian National Birth Registry as six (by excluding birthweight) and ten newborn phenotypes (using all three outcomes). Small phenotypes (with at least one classification of PT, SGA, or LBW) were further considered. Using individual-level data, we stratified the phenotypes by maternal educational level, maternal age, healthcare insurance, altitude of residence, and geographic region (Coast, Andes, and Amazon).

Findings:

The prevalence of the five vulnerable newborn phenotypes for the study period was LGA+T (15.2%), AGA+PT (5.2%), SGA+T (4.6%), LGA+PT (0.8%), and SGA+PT (0.7%). The Coast had a higher prevalence of newborns with large phenotypes (19.4%) and the Highlands a higher prevalence of newborns with small phenotypes (12.5%). Mothers with poor socioeconomic status, extreme ages and living at high altitude had a higher prevalence of newborns with small phenotypes, and mothers who were wealthier, more educated, and older had a higher prevalence of infants with large phenotypes.

Interpretation:

Our findings cautiously suggest that socioeconomic and geographic disparities may play a crucial role in shaping vulnerable newborn phenotypes at national and subnational level in Peru. Further studies using longitudinal data are needed to corroborate our findings and to identify individual-level risk factors.

Funding:

Ter Meulen Grant from the KNAW Medical Sciences Fund of the Royal Netherlands Academy of Arts and Sciences (KNAWWF/1085/TMB406, KNAWWF/1327/TMB202116), Fogarty Program (D43TW011502).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE País/Región como asunto: America do sul / Peru Idioma: En Revista: Lancet Reg Health Am Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE País/Región como asunto: America do sul / Peru Idioma: En Revista: Lancet Reg Health Am Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido