Literature DB >> 32109464

Prediction of pregnancy loss by early first trimester ultrasound characteristics.

Elizabeth A DeVilbiss1, Sunni L Mumford1, Lindsey A Sjaarda1, Matthew T Connell1, Torie C Plowden2, Victoria C Andriessen1, Neil J Perkins1, Micah J Hill3, Robert M Silver4, Enrique F Schisterman5.   

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.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  fetal loss; miscarriage; sonogram; sonographic

Mesh:

Year:  2020        PMID: 32109464      PMCID: PMC7994016          DOI: 10.1016/j.ajog.2020.02.025

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  29 in total

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2.  Yolk sac size and embryonic heart rate as prognostic factors of first trimester pregnancy outcome.

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7.  Can a smaller than expected crown-rump length reliably predict the occurrence of subsequent miscarriage in a viable first trimester pregnancy?

Authors:  Wessam M Abuelghar; Hisham M Fathi; Mohamed I Ellaithy; Mohammad A Anwar
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8.  Embryonic heart rate as a predictor of first-trimester pregnancy loss in infertility patients after in vitro fertilization.

Authors:  Eden R Rauch; Glenn L Schattman; Paul J Christos; Ty Chicketano; Zev Rosenwaks
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Authors:  Maria C Magnus; Allen J Wilcox; Nils-Halvdan Morken; Clarice R Weinberg; Siri E Håberg
Journal:  BMJ       Date:  2019-03-20

10.  Are abnormal yolk sac characteristics important factors in abortion rates?

Authors:  Sanam Moradan; Mohammad Forouzeshfar
Journal:  Int J Fertil Steril       Date:  2012-06-19
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2.  Can Ultrasound Analysis of the Yolk Sac be a Predictor of Pregnancy Outcome?

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3.  Automated prediction of early spontaneous miscarriage based on the analyzing ultrasonographic gestational sac imaging by the convolutional neural network: a case-control and cohort study.

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