Maternal characteristics associated with the fetal macrosomy diagnosis in a hospital III-1 of the capital of Peru
Características maternas asociadas al diagnóstico de macrosomía fetal en un hospital III-1 de la capital de Perú
DOI:
https://doi.org/10.25176/RFMH.v20i1.2549Keywords:
Fetal macrosomia, Gestational diabetes, weight gain during pregnancy, maternal age, postnatal pregnancyAbstract
Objective: To identify the maternal characteristics associated with the diagnosis of fetal macrosomia at Sergio E. Bernales Hospital from January to December 2018. Methods: An observational, analytical, retrospective, case-control study was carried out. The population studied was pregnant women with a diagnosis of fetal macrosomia treated in the gynecoobstetrics service of Sergio E. Bernales Hospital from January to December 2018. Through a data collection sheet, the information from the medical records was extracted; the data was then processed according to the IBM SPSS Statistics v25 program. Results: Of 532 patients studied, 133 cases and 399 controls were obtained. Maternal age varies between 14 and 45 years (average age of 27.01). A statistically significant association was found between fetal macrosomia and the following variables: post-term pregnancy (OR = 13,613 95% CI 2,901-63,891), gestational diabetes (OR 5.7 IC95% 2.5 -12.7), excessive weight gain (OR 1,833 95% CI 1,154-2,911), sex of the newborn (OR 1.83 95% CI 1.2-2.7) and age of the mother (OR 1.7 95% CI 1.0-2.9). When performing the multivariate analysis, no association was found with the variables age of the mother (P = 0.228, OR 1.510 95% CI 0.773-2.950) and BMI (P = 0.331, OR 0.740 95% CI 0.403-1.358), so they were considered confusing variables. Conclusion: The maternal characteristics associated with the diagnosis of fetal macrosomia are post-term delivery, gestational diabetes, excessive weight gain and sex of the newborn.
Downloads

Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Revista de la Facultad de Medicina Humana

This work is licensed under a Creative Commons Attribution 4.0 International License.