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Prediction of pregnancy loss by early first trimester ultrasound characteristics.
DeVilbiss, Elizabeth A; Mumford, Sunni L; Sjaarda, Lindsey A; Connell, Matthew T; Plowden, Torie C; Andriessen, Victoria C; Perkins, Neil J; Hill, Micah J; Silver, Robert M; Schisterman, Enrique F.
Afiliação
  • DeVilbiss EA; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
  • Mumford SL; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
  • Sjaarda LA; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
  • Connell MT; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
  • Plowden TC; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Howard University Hospital, Washington, DC.
  • Andriessen VC; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
  • Perkins NJ; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
  • Hill MJ; Howard University Hospital, Washington, DC; Program in Reproductive and Adult Endocrinology, National Institutes of Health, Bethesda, MD.
  • Silver RM; Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT.
  • Schisterman EF; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD. Electronic address: schistee@mail.nih.gov.
Am J Obstet Gynecol ; 223(2): 242.e1-242.e22, 2020 08.
Article em En | MEDLINE | ID: mdl-32109464
ABSTRACT

BACKGROUND:

Pregnancy loss prediction based on routinely measured ultrasound characteristics is generally aimed toward distinguishing nonviability. Physicians also use ultrasound indicators for patient counseling, and in some cases to decide upon the frequency of follow-up sonograms. To improve clinical utility, allocation of cut-points should be based on clinical data for multiple sonographic characteristics, be specific to gestational week, and be determined by methods that optimize prediction.

OBJECTIVES:

To identify routinely measured features of the early first trimester ultrasound and the gestational age-specific cut-points that are most predictive of pregnancy loss. MATERIALS AND

METHODS:

This was a secondary analysis of 617 pregnant women enrolled in the Effects of Aspirin in Gestation and Reproduction (EAGeR) trial; all women had 1-2 previous pregnancy losses and no documented infertility. Each participant had a single ultrasound with a detectable fetal heartbeat between 6 weeks 0 days and 8 weeks 6 days. Cut-points for low fetal heart rate and small crown-rump length were separately defined for gestational weeks 6, 7, and 8 to optimize prediction. Identity and log-binomial regression models were used to estimate absolute and relative risks, respectively, and 95% confidence intervals between jointly categorized low fetal heart rate, small crown-rump length, and clinical pregnancy loss. Adjusted models accounted for gestational age at ultrasound in weeks. Missing data were addressed using multiple imputation.

RESULTS:

A total of 64 women experienced a clinical pregnancy loss following the first ultrasound (10.4%), 7 were lost to follow-up (1.1%), and 546 women (88.5%) had a live birth. Low fetal heart rate and small crown-rump length (≤122, 123, and 158 bpm; ≤6.0, 8.5, and 10.9 mm for gestational weeks 6, 7, and 8, respectively) were independent predictors of clinical pregnancy loss, with greatest risks observed for pregnancies having both characteristics (relative risk, 2.08; 95% confidence interval, 1.24-2.91). The combination of low fetal heart rate and small crown-rump length was linked to a 16% (95% confidence interval, 9.1-23%) adjusted absolute increase in risk of subsequent loss, from 5.0% (95% confidence interval, 1.5-8.5%) to 21% (95% confidence interval, 15-27%). Abnormal yolk sac diameter or the presence of a subchorionic hemmhorage did not improve prediction of clinical pregnancy loss.

CONCLUSION:

Identified cut-points can be used by physicians for patient counseling, and in some cases to decide upon the frequency of follow-up sonograms. The specified criteria should not be used to diagnose nonviability.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Primeiro Trimestre da Gravidez / Frequência Cardíaca Fetal / Bradicardia / Aborto Espontâneo / Ultrassonografia Pré-Natal / Estatura Cabeça-Cóccix / Retardo do Crescimento Fetal Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Moldávia

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Primeiro Trimestre da Gravidez / Frequência Cardíaca Fetal / Bradicardia / Aborto Espontâneo / Ultrassonografia Pré-Natal / Estatura Cabeça-Cóccix / Retardo do Crescimento Fetal Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Moldávia