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1.
J Clin Ultrasound ; 49(4): 322-327, 2021 May.
Article in English | MEDLINE | ID: mdl-33615495

ABSTRACT

PURPOSE: To compare the performance of a local estimated fetal weight curve with curves established for other populations to predict small for gestational age (SGA) fetuses. METHODS: A retrospective and cross-sectional study involving 231 fetuses in which the performance of a local curve (proposed model) was compared with the Hadlock and Intergrowth-21st curves in the prediction of SGA fetuses, by applying them to a population of high-risk pregnant woman with HIV/AIDS. For each model, a receiver operating characteristic curve was adjusted, considering the SGA classification by the neonatal Intergrowth method as the gold standard, and the area under the curve (AUC) was calculated. RESULTS: The models presented linear correlations with each other. The agreement of the proposed model with Hadlock was very good (kappa = 0.83), whereas the proposed model and Intergrowth-21st had moderate agreement (kappa = 0.44). The SGA fetus detection sensitivities of the proposed model and Hadlock were 61.9% and 57.1%, with specificity of 84.1% and 86.2% and accuracy of 80.1% and 81%, respectively, without statistical difference. The sensitivity of the Intergrowth-21st model was 33.3%, while the accuracy was 85.7% and the specificity was 97.4%. The AUC estimated values for the Hadlock, proposed, and Intergrowth-21st models were 0.834, 0.832, and 0.835, respectively. CONCLUSION: The proposed model and Hadlock were interchangeable in the prediction of SGA fetuses and superior to the Intergrowth-21st model.


Subject(s)
Fetal Growth Retardation/diagnostic imaging , HIV Infections/physiopathology , Infant, Small for Gestational Age/growth & development , Pregnancy Complications, Infectious/physiopathology , Ultrasonography, Prenatal/standards , Adult , Area Under Curve , Cross-Sectional Studies , Female , Fetal Growth Retardation/physiopathology , Fetal Growth Retardation/virology , Fetal Weight , Fetus/diagnostic imaging , HIV Infections/diagnostic imaging , Humans , Infant, Newborn , Pregnancy , Pregnancy Complications, Infectious/diagnostic imaging , Pregnancy Complications, Infectious/virology , ROC Curve , Reference Values , Retrospective Studies , Ultrasonography, Prenatal/methods
2.
Rev Bras Ginecol Obstet ; 42(4): 174-180, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32330958

ABSTRACT

OBJECTIVE: To develop reference curves of estimated fetal weight for a local population in Curitiba, South of Brazil, and compare them with the curves established for other populations. METHODS: An observational, cross-sectional, retrospective study was conducted. A reference model for estimated fetal weight was developed using a local sample of 2,211 singleton pregnancies with low risk of growth disorders and well-defined gestational age. This model was compared graphically with the Hadlock and Intergrowth 21st curves. RESULTS: Reference curves for estimated fetal weight were developed for a local population. The coefficient of determination was R2 = 99.11%, indicating that 99.11% of the fetal weight variations were explained by the model. Compared with Hadlock curves, the 50th, 90th, and 97th percentiles in this model were lower, whereas the 10th percentile nearly overlapped, and the 3rd percentile was slightly higher in the proposed model. The percentiles were higher in the proposed model compared with the Intergrowth 21st curves, particularly for the 3rd, 10th, and 50th percentiles. CONCLUSION: We provide a local reference curve for estimated fetal weight. The proposed model was different from other models, and these differences might be due to the use of different populations for model construction.


OBJETIVO: Desenvolver curvas de referência para o peso fetal estimado em uma população de Curitiba, Sul do Brasil, e compará-las com curvas estabelecidas para outras populações. MéTODOS: Foi realizado um estudo observacional, transversal e retrospectivo. Um modelo de referência para o peso fetal estimado foi desenvolvido usando uma amostra local de 2.211 gestações únicas de baixo risco de distúrbios do crescimento e idade gestacional bem definida. Este modelo foi comparado graficamente com as curvas de Hadlock e Intergrowth 21 st. RESULTADOS: As curvas de referência para o peso fetal estimado foram desenvolvidas para uma população local. O coeficiente de determinação foi de R2 = 99,11%, indicando que 99,11% das variações do peso fetal foram explicadas pelo modelo. Em comparação com as curvas de Hadlock, os percentis 50, 90, e 97 neste modelo foram inferiores, enquanto o percentil 10 quase se sobrepôs, e o percentil 3 foi ligeiramente superior no modelo proposto. Os percentis foram maiores no modelo proposto em comparação com as curvas do Intergrowth 21st, particularmente para os percentis 3, 10, e 50. CONCLUSãO: Fornecemos uma curva de referência local para o peso fetal estimado. O modelo proposto foi diferente de outros modelos, e essas diferenças podem ser devido ao uso de diferentes populações para a construção do modelo.


Subject(s)
Fetal Weight/physiology , Growth Charts , Ultrasonography, Prenatal/methods , Brazil , Cross-Sectional Studies , Female , Humans , Pregnancy , Retrospective Studies
3.
Rev. bras. ginecol. obstet ; 42(4): 174-180, Apr. 2020. tab, graf
Article in English | LILACS | ID: biblio-1137819

ABSTRACT

Abstract Objective To develop reference curves of estimated fetal weight for a local population in Curitiba, South of Brazil, and compare them with the curves established for other populations. Methods An observational, cross-sectional, retrospective study was conducted. A reference model for estimated fetal weight was developed using a local sample of 2,211 singleton pregnancies with low risk of growth disorders and well-defined gestational age. This model was compared graphically with the Hadlock and Intergrowth 21st curves. Results Reference curves for estimated fetal weight were developed for a local population. The coefficient of determination was R2 = 99.11%, indicating that 99.11% of the fetal weight variations were explained by the model. Compared with Hadlock curves, the 50th, 90th, and 97th percentiles in this model were lower, whereas the 10th percentile nearly overlapped, and the 3rd percentile was slightly higher in the proposed model. The percentiles were higher in the proposed model compared with the Intergrowth 21st curves, particularly for the 3rd, 10th, and 50th percentiles. Conclusion We provide a local reference curve for estimated fetal weight. The proposed model was different from other models, and these differences might be due to the use of different populations for model construction.


Resumo Objetivo Desenvolver curvas de referência para o peso fetal estimado em uma população de Curitiba, Sul do Brasil, e compará-las com curvas estabelecidas para outras populações. Métodos Foi realizado um estudo observacional, transversal e retrospectivo. Um modelo de referência para o peso fetal estimado foi desenvolvido usando uma amostra local de 2.211 gestações únicas de baixo risco de distúrbios do crescimento e idade gestacional bem definida. Este modelo foi comparado graficamente com as curvas de Hadlock e Intergrowth 21st. Resultados As curvas de referência para o peso fetal estimado foram desenvolvidas para uma população local. O coeficiente de determinação foi de R2 = 99,11%, indicando que 99,11% das variações do peso fetal foram explicadas pelo modelo. Em comparação com as curvas de Hadlock, os percentis 50, 90, e 97 neste modelo foram inferiores, enquanto o percentil 10 quase se sobrepôs, e o percentil 3 foi ligeiramente superior no modelo proposto. Os percentis foram maiores no modelo proposto em comparação com as curvas do Intergrowth 21st, particularmente para os percentis 3, 10, e 50. Conclusão Fornecemos uma curva de referência local para o peso fetal estimado. O modelo proposto foi diferente de outros modelos, e essas diferenças podem ser devido ao uso de diferentes populações para a construção do modelo.


Subject(s)
Humans , Female , Pregnancy , Ultrasonography, Prenatal/methods , Fetal Weight/physiology , Growth Charts , Brazil , Cross-Sectional Studies , Retrospective Studies
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