Cargando…
Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model
Our objective was to prospectively validate the use of gestational sac (GS), yolk sac (YS) diameter, crown-rump length (CRL), and embryonal heart rate (HR) dimensions to identify early pregnancy loss. This was a prospective cohort study of first trimester pregnancies. GS and YS diameter, CRL, and HR...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994659/ https://www.ncbi.nlm.nih.gov/pubmed/32005925 http://dx.doi.org/10.1038/s41598-020-58114-3 |
_version_ | 1783493239832051712 |
---|---|
author | Detti, Laura Francillon, Ludwig Christiansen, Mary E. Peregrin-Alvarez, Irene Goedecke, Patricia J. Bursac, Zoran Roman, Robert A. |
author_facet | Detti, Laura Francillon, Ludwig Christiansen, Mary E. Peregrin-Alvarez, Irene Goedecke, Patricia J. Bursac, Zoran Roman, Robert A. |
author_sort | Detti, Laura |
collection | PubMed |
description | Our objective was to prospectively validate the use of gestational sac (GS), yolk sac (YS) diameter, crown-rump length (CRL), and embryonal heart rate (HR) dimensions to identify early pregnancy loss. This was a prospective cohort study of first trimester pregnancies. GS and YS diameter, CRL, and HR measurements were serially obtained in singleton and twin pregnancies from 6 through 10 weeks’ gestation. Non-parametric tests and logistic regression models were used for comparisons of distributions and testing of associations. A total of 252 patients were included, of which 199 were singleton pregnancies, 51 were twins, and 2 were triplets (304 total fetuses). Fifty-two patients had 61 losses. We built nomograms with the changes of the parameters evaluated in ongoing, as well as in pregnancy loss. In the pregnancies which failed, all the parameters showed significant changes, with different temporal onsets: GS and YS were the first to become abnormal, deviating from normality as early as 6 weeks’ gestation (OR 0.01, 95% CI 0.0–0.09, and OR 3.36, 95% CI 1.53–7.34, respectively), followed by changes in HR, and CRL, which became evident at 7 and 8 weeks (OR 0.96, 95% CI 0.92–1.0, and OR 0.59, 95% CI 0.48–0.73, respectively). Our observations showed that, after 5 complete weeks’ gestation, a small GS and a large YS reliably predicted pregnancy loss. The YS reliably identified the occurrence of a miscarriage at least 7 days prior its occurrence. CRL and HR became abnormal at a later time in pregnancy and closer to the event. These findings have important implications for patient counseling and care planning, as well as a potential bearing on cost effectiveness within early pregnancy care. |
format | Online Article Text |
id | pubmed-6994659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69946592020-02-06 Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model Detti, Laura Francillon, Ludwig Christiansen, Mary E. Peregrin-Alvarez, Irene Goedecke, Patricia J. Bursac, Zoran Roman, Robert A. Sci Rep Article Our objective was to prospectively validate the use of gestational sac (GS), yolk sac (YS) diameter, crown-rump length (CRL), and embryonal heart rate (HR) dimensions to identify early pregnancy loss. This was a prospective cohort study of first trimester pregnancies. GS and YS diameter, CRL, and HR measurements were serially obtained in singleton and twin pregnancies from 6 through 10 weeks’ gestation. Non-parametric tests and logistic regression models were used for comparisons of distributions and testing of associations. A total of 252 patients were included, of which 199 were singleton pregnancies, 51 were twins, and 2 were triplets (304 total fetuses). Fifty-two patients had 61 losses. We built nomograms with the changes of the parameters evaluated in ongoing, as well as in pregnancy loss. In the pregnancies which failed, all the parameters showed significant changes, with different temporal onsets: GS and YS were the first to become abnormal, deviating from normality as early as 6 weeks’ gestation (OR 0.01, 95% CI 0.0–0.09, and OR 3.36, 95% CI 1.53–7.34, respectively), followed by changes in HR, and CRL, which became evident at 7 and 8 weeks (OR 0.96, 95% CI 0.92–1.0, and OR 0.59, 95% CI 0.48–0.73, respectively). Our observations showed that, after 5 complete weeks’ gestation, a small GS and a large YS reliably predicted pregnancy loss. The YS reliably identified the occurrence of a miscarriage at least 7 days prior its occurrence. CRL and HR became abnormal at a later time in pregnancy and closer to the event. These findings have important implications for patient counseling and care planning, as well as a potential bearing on cost effectiveness within early pregnancy care. Nature Publishing Group UK 2020-01-31 /pmc/articles/PMC6994659/ /pubmed/32005925 http://dx.doi.org/10.1038/s41598-020-58114-3 Text en © The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Detti, Laura Francillon, Ludwig Christiansen, Mary E. Peregrin-Alvarez, Irene Goedecke, Patricia J. Bursac, Zoran Roman, Robert A. Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model |
title | Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model |
title_full | Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model |
title_fullStr | Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model |
title_full_unstemmed | Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model |
title_short | Early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: A logistic model |
title_sort | early pregnancy ultrasound measurements and prediction of first trimester pregnancy loss: a logistic model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994659/ https://www.ncbi.nlm.nih.gov/pubmed/32005925 http://dx.doi.org/10.1038/s41598-020-58114-3 |
work_keys_str_mv | AT dettilaura earlypregnancyultrasoundmeasurementsandpredictionoffirsttrimesterpregnancylossalogisticmodel AT francillonludwig earlypregnancyultrasoundmeasurementsandpredictionoffirsttrimesterpregnancylossalogisticmodel AT christiansenmarye earlypregnancyultrasoundmeasurementsandpredictionoffirsttrimesterpregnancylossalogisticmodel AT peregrinalvarezirene earlypregnancyultrasoundmeasurementsandpredictionoffirsttrimesterpregnancylossalogisticmodel AT goedeckepatriciaj earlypregnancyultrasoundmeasurementsandpredictionoffirsttrimesterpregnancylossalogisticmodel AT bursaczoran earlypregnancyultrasoundmeasurementsandpredictionoffirsttrimesterpregnancylossalogisticmodel AT romanroberta earlypregnancyultrasoundmeasurementsandpredictionoffirsttrimesterpregnancylossalogisticmodel |