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Comparison of three algorithms for prediction preeclampsia in the first trimester of pregnancy.
Rocha, Rebeca Silveira; Gurgel Alves, Júlio Augusto; Bezerra Maia E Holanda Moura, Sammya; Araujo Júnior, Edward; Martins, Wellington P; Vasconcelos, Camila Teixeira Moreira; Da Silva Costa, Fabricio; Oriá, Mônica Oliveira Batista.
Afiliação
  • Rocha RS; Department of Nursing, Federal University of Ceará (UFC), Fortaleza, State of Ceará, Brazil.
  • Gurgel Alves JA; Department of Maternal and Child, Federal University of Ceará (UFC), Fortaleza, State of Ceará, Brazil.
  • Bezerra Maia E Holanda Moura S; Department of Obstetrics and Gynecology, University of Fortaleza (UNIFOR), Fortaleza, State of Ceará, Brazil.
  • Araujo Júnior E; Department of Obstetrics, Paulista School of Medicine-Federal University of São Paulo (EPM-UNIFESP), São Paulo, State of São Paulo, Brazil. Electronic address: araujojred@terra.com.br.
  • Martins WP; Department of Obstetrics and Gynecology, Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Ribeirão Preto, State of São Paulo, Brazil.
  • Vasconcelos CTM; Department of Nursing, Federal University of Ceará (UFC), Fortaleza, State of Ceará, Brazil.
  • Da Silva Costa F; Department of Obstetrics and Gynaecology, Monash University Faculty of Medicine Nursing and Health Sciences, Clayton, Victoria, Australia.
  • Oriá MOB; Department of Nursing, Federal University of Ceará (UFC), Fortaleza, State of Ceará, Brazil.
Pregnancy Hypertens ; 10: 113-117, 2017 Oct.
Article em En | MEDLINE | ID: mdl-29153662
OBJECTIVE: To compare a new simple algorithm for preeclampsia (PE) prediction among Brazilian women with two international guidelines - National Institute for Clinical Excellence (NICE) and American College of Obstetricians and Gynecologists (ACOG). METHODS: We performed a secondary analysis of two prospective cohort studies to predict PE between 11 and 13+6weeks of gestation, developed between August 2009 and January 2014. Outcomes measured were total PE, early PE (<34weeks), preterm PE (<37weeks), and term PE (≥37weeks). The predictive accuracy of the models was assessed using the area under the receiver operator characteristic curve (AUC-ROC) and via calculation of sensitivity and specificity for each outcome. RESULTS: Of a total of 733 patients, 55 patients developed PE, 12 at early, 21 at preterm and 34 at term. The AUC-ROC values were low, which compromised the accuracy of NICE (AUC-ROC: 0.657) and ACOG (AUC-ROC: 0.562) algorithms for preterm PE prediction in the Brazilian population. The best predictive model for preterm PE included maternal factors (MF) and mean arterial pressure (MAP) (AUC-ROC: 0.842), with a statistically significant difference compared with ACOG (p<0.0001) and NICE (p=0.0002) guidelines. CONCLUSION: The predictive accuracies of NICE and ACOG guidelines to predict preterm PE were low and a simple algorithm involving maternal factors and MAP performed better for the Brazilian population.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pré-Eclâmpsia / Diagnóstico Pré-Natal / Algoritmos Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Revista: Pregnancy Hypertens Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pré-Eclâmpsia / Diagnóstico Pré-Natal / Algoritmos Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Revista: Pregnancy Hypertens Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda