Predicting the risk of fetal macrosomia at pregnancy in Shandong province: a case-control study

Peng, Yanjie; Fang, Zhenya; Zhang, Meihua; Li, Shuxian; Li, Anna; Zhang, Lin; Wang, Xietong

doi:10.1080/14767058.2021.1910662

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Al igual que en el presente estudio, donde el peso del recién nacido tuvo asociación con el desarrollo de macrosomía (p = 0,000). Peng et al (46), halló que la edad gestacional incrementó el riesgo de desarrollar macrosomía fetal. Torres, Barrios & Bataglia (47), identificaron que asociación entre macrosomía fetal y parto por cesárea (p < 0,05).…”

Section: Discussionunclassified

Factores intrínsecos y extrínsecos del recién nacido relacionados a la macrosomía fetal en el Hospital Regional de Ica, 2019

Mayuri Espinoza

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Objetivo: Identificar los factores intrínsecos y extrínsecos del recién nacido relacionados a la macrosomía fetal en el Hospital Regional de Ica en el año 2019. Materiales y métodos: Se realizó un estudio observacional, analítico, retrospectivo y de corte transversal, cuya muestra estuvo conformada por 107 recién nacidos seleccionados mediante un muestreo probabilístico aleatorio simple. Se utilizó como instrumento una ficha de recolección de datos, el análisis estadístico fue principalmente bivariado, para lo cual se utilizó la prueba Chi2 de Pearson; adicionalmente se aplicó un análisis descriptivo de las variables. Resultados: La población de estudio estuvo caracterizada por una edad gestacional entre 37 a 40 semanas (82,7%), de sexo masculino (55,8%), con un peso menor a 4000 gramos (63,5%) y de procedencia urbana (68,3%). La macrosomía fetal estuvo presente en el 36,5% de los recién nacidos. Respecto a los factores intrínsecos, el peso (p=0,000), talla (p=0,001), perímetro cefálico (p=0,000) y torácico (p=0,000) estuvieron significativamente asociados a la macrosomía fetal. Por otro lado, los factores extrínsecos que demostraron tener una asociación estadísticamente significativa fueron el tipo de parto (p=0,00) y preeclampsia en la madre (p=0,02). Conclusiones: Los factores intrínsecos asociados a la macrosomía fetal fueron el peso, talla, perímetro cefálico, torácico; mientras que los extrínsecos fueron el tipo de parto y preeclampsia en la madre.

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Section: Discussionunclassified

Factores intrínsecos y extrínsecos del recién nacido relacionados a la macrosomía fetal en el Hospital Regional de Ica, 2019

Mayuri Espinoza

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Assessment of the association between prenatal exposure to multiple ambient pollutants and preterm birth: A prospective cohort study in Jinan, east China

Wang

Fang

et al. 2022

Ecotoxicology and Environmental Safety

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Multivariable prediction models for fetal macrosomia and large for gestational age: A systematic review

Ewington,

Black,

Leeson

et al. 2024

BJOG

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BackgroundThe identification of large for gestational age (LGA) and macrosomic fetuses is essential for counselling and managing these pregnancies.ObjectivesTo systematically review the literature for multivariable prediction models for LGA and macrosomia, assessing the performance, quality and applicability of the included model in clinical practice.Search strategyMEDLINE, EMBASE and Cochrane Library were searched until June 2022.Selection criteriaWe included observational and experimental studies reporting the development and/or validation of any multivariable prediction model for fetal macrosomia and/or LGA. We excluded studies that used a single variable or did not evaluate model performance.Data collection and analysisData were extracted using the Checklist for critical appraisal and data extraction for systematic reviews of prediction modelling studies checklist. The model performance measures discrimination, calibration and validation were extracted. The quality and completion of reporting within each study was assessed by its adherence to the TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) checklist. The risk of bias and applicability were measured using PROBAST (Prediction model Risk Of Bias Assessment Tool).Main resultsA total of 8442 citations were identified, with 58 included in the analysis: 32/58 (55.2%) developed, 21/58 (36.2%) developed and internally validated and 2/58 (3.4%) developed and externally validated a model. Only three studies externally validated pre‐existing models. Macrosomia and LGA were differentially defined by many studies. In total, 111 multivariable prediction models were developed using 112 different variables. Model discrimination was wide ranging area under the receiver operating characteristics curve (AUROC 0.56–0.96) and few studies reported calibration (11/58, 19.0%). Only 5/58 (8.6%) studies had a low risk of bias.ConclusionsThere are currently no multivariable prediction models for macrosomia/LGA that are ready for clinical implementation.

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Predicting the risk of fetal macrosomia at pregnancy in Shandong province: a case-control study

Cited by 3 publications

References 21 publications

Factores intrínsecos y extrínsecos del recién nacido relacionados a la macrosomía fetal en el Hospital Regional de Ica, 2019

Factores intrínsecos y extrínsecos del recién nacido relacionados a la macrosomía fetal en el Hospital Regional de Ica, 2019

Assessment of the association between prenatal exposure to multiple ambient pollutants and preterm birth: A prospective cohort study in Jinan, east China

Multivariable prediction models for fetal macrosomia and large for gestational age: A systematic review

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