Literature DB >> 18656184

Embryonic heart rate as a predictor of first-trimester pregnancy loss in infertility patients after in vitro fertilization.

Eden R Rauch1, Glenn L Schattman, Paul J Christos, Ty Chicketano, Zev Rosenwaks.   

Abstract

OBJECTIVE: To determine if embryonic heart rate (EHR) is useful to predict first-trimester pregnancy outcome after in vitro fertilization (IVF).
DESIGN: Retrospective analysis.
SETTING: University-based infertility center. PATIENT(S): Six hundred fifty patients who completed IVF with singleton implantations from October 2002 to September 2006 were identified. INTERVENTION(S): Transvaginal sonography at 4-6 weeks' embryonic age. MAIN OUTCOME MEASURE(S): Embryonic heart rate at 4-6 weeks' embryonic age and first-trimester pregnancy outcome. RESULT(S): Ninety-five patients (14.6%) spontaneously aborted, and 555 (85.4%) patients had clinical pregnancies beyond the first trimester. Groups were similar regarding gravidity, parity, embryos transferred, embryonic age at time of sonogram for EHR, and infertility diagnosis. Mean maternal age was significantly higher in the group that spontaneously aborted. Mean EHR was significantly lower in the group that spontaneously aborted. Multivariate logistic regression confirmed the best predictors of poor pregnancy outcome: increasing maternal age (odds ratio [OR] 1.18) and lower EHR (OR 1.07). CONCLUSION(S): Embryonic heart rate, independent of maternal age, is useful to help predict first-trimester pregnancy prognosis after IVF. Infertility patients with a low EHR (<or=110 bpm) at 4-6 weeks' embryonic age should be counseled that they are at increased risk for first-trimester pregnancy loss.

Entities:  

Mesh:

Year:  2008        PMID: 18656184     DOI: 10.1016/j.fertnstert.2008.03.026

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  7 in total

1.  Difference between mean gestational sac diameter and crown-rump length as a marker of first-trimester pregnancy loss after in vitro fertilization.

Authors:  Joshua D Kapfhamer; Sruthi Palaniappan; Karen Summers; Kristen Kassel; Abigail C Mancuso; Ginny L Ryan; Divya K Shah
Journal:  Fertil Steril       Date:  2017-11-23       Impact factor: 7.329

2.  Prediction of pregnancy loss by early first trimester ultrasound characteristics.

Authors:  Elizabeth A DeVilbiss; Sunni L Mumford; Lindsey A Sjaarda; Matthew T Connell; Torie C Plowden; Victoria C Andriessen; Neil J Perkins; Micah J Hill; Robert M Silver; Enrique F Schisterman
Journal:  Am J Obstet Gynecol       Date:  2020-02-25       Impact factor: 8.661

3.  Correlation analysis between ultrasound findings and abnormal karyotypes in the embryos from early pregnancy loss after in vitro fertilization-embryo transfer.

Authors:  Xihong Li; Yan Ouyang; Yan Yi; Yueqiu Tan; Guangxiu Lu
Journal:  J Assist Reprod Genet       Date:  2016-10-28       Impact factor: 3.412

Review 4.  Diagnostic Methods of Ectopic Pregnancy and Early Pregnancy Loss: a Review of the Literature.

Authors:  A Hamza; G Meyberg-Solomayer; I Juhasz-Böss; R Joukhadar; Z Takacs; E-F Solomayer; S Baum; J Radosa; L Mavrova; D Herr
Journal:  Geburtshilfe Frauenheilkd       Date:  2016-04       Impact factor: 2.915

5.  Selection of single blastocysts for fresh transfer via standard morphology assessment alone and with array CGH for good prognosis IVF patients: results from a randomized pilot study.

Authors:  Zhihong Yang; Jiaen Liu; Gary S Collins; Shala A Salem; Xiaohong Liu; Sarah S Lyle; Alison C Peck; E Scott Sills; Rifaat D Salem
Journal:  Mol Cytogenet       Date:  2012-05-02       Impact factor: 2.009

6.  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.

Authors:  Yu Wang; Qixin Zhang; Chenghuan Yin; Lizhu Chen; Zeyu Yang; Shanshan Jia; Xue Sun; Yuzuo Bai; Fangfang Han; Zhengwei Yuan
Journal:  BMC Pregnancy Childbirth       Date:  2022-08-05       Impact factor: 3.105

7.  A logistic model to predict early pregnancy loss following in vitro fertilization based on 2601 infertility patients.

Authors:  Yan Yi; Guangxiu Lu; Yan Ouyang; Ge lin; Fei Gong; Xihong Li
Journal:  Reprod Biol Endocrinol       Date:  2016-03-31       Impact factor: 5.211

  7 in total

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