Cargando…
Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population
OBJECTIVE: To evaluate the performance of the preeclampsia (PE) screening algorithm of the Fetal Medicine Foundation (FMF) during the first trimester in a Brazilian population using maternal characteristics, mean arterial pressure (MAP), and uterine artery Doppler data. METHODS: This is a prospectiv...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Obstetrics and Gynecology; Korean Society of Contraception and Reproductive Health; Korean Society of Gynecologic Endocrinology; Korean Society of Gynecologic Endoscopy and Minimal Invasive Surgery; Korean Society of Maternal Fetal Medicine; Korean Society of Ultrasound in Obstetrics and Gynecology; Korean Urogynecologic Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856477/ https://www.ncbi.nlm.nih.gov/pubmed/31777734 http://dx.doi.org/10.5468/ogs.2019.62.6.391 |
_version_ | 1783470572991152128 |
---|---|
author | Leite, Juliana de Freitas Lobo, Guilherme Antonio Rago Nowak, Paulo Martin Antunes, Irene Reali Araujo Júnior, Edward Pares, David Baptista da Silva |
author_facet | Leite, Juliana de Freitas Lobo, Guilherme Antonio Rago Nowak, Paulo Martin Antunes, Irene Reali Araujo Júnior, Edward Pares, David Baptista da Silva |
author_sort | Leite, Juliana de Freitas |
collection | PubMed |
description | OBJECTIVE: To evaluate the performance of the preeclampsia (PE) screening algorithm of the Fetal Medicine Foundation (FMF) during the first trimester in a Brazilian population using maternal characteristics, mean arterial pressure (MAP), and uterine artery Doppler data. METHODS: This is a prospective cohort study that evaluated 701 pregnant women during the first trimester ultrasound screening for chromosomal abnormalities (11–13+6 weeks). All patients provided information regarding clinical and obstetric history, MAP, and mean uterine artery pulsatility index (mean PI). Patients were assigned to four groups based on the presence of PE and gestational age at delivery: group 1 (control), patients without hypertensive disorders (n=571); group 2, PE and delivery before 34 weeks of gestation (n=7); group 3, PE and delivery before 37 weeks of gestation, including patients from group 2 and patients that presented PE with delivery between 34 and 37 weeks (n=17); and group 4, PE and delivery before 42 weeks of gestation, including patients from both groups 2 and 3 and patients that presented PE with delivery between 37 and 42 weeks of gestation (n=34). RESULTS: After the exclusion of 96 patients, we evaluated the data of 605 patients. By combining maternal characteristics, MAP, and the mean uterine artery PI for the detection of PE, we found a sensitivity of 71.4% in group 2, 50% in group 3, and 41.2% in group 4 (false positive rate=10%). CONCLUSION: Using maternal characteristics, MAP, and uterine artery Doppler data, we were able to identify a significant proportion of patients who developed preterm PE. |
format | Online Article Text |
id | pubmed-6856477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Society of Obstetrics and Gynecology; Korean Society of Contraception and Reproductive Health; Korean Society of Gynecologic Endocrinology; Korean Society of Gynecologic Endoscopy and Minimal Invasive Surgery; Korean Society of Maternal Fetal Medicine; Korean Society of Ultrasound in Obstetrics and Gynecology; Korean Urogynecologic Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-68564772019-11-27 Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population Leite, Juliana de Freitas Lobo, Guilherme Antonio Rago Nowak, Paulo Martin Antunes, Irene Reali Araujo Júnior, Edward Pares, David Baptista da Silva Obstet Gynecol Sci Original Article OBJECTIVE: To evaluate the performance of the preeclampsia (PE) screening algorithm of the Fetal Medicine Foundation (FMF) during the first trimester in a Brazilian population using maternal characteristics, mean arterial pressure (MAP), and uterine artery Doppler data. METHODS: This is a prospective cohort study that evaluated 701 pregnant women during the first trimester ultrasound screening for chromosomal abnormalities (11–13+6 weeks). All patients provided information regarding clinical and obstetric history, MAP, and mean uterine artery pulsatility index (mean PI). Patients were assigned to four groups based on the presence of PE and gestational age at delivery: group 1 (control), patients without hypertensive disorders (n=571); group 2, PE and delivery before 34 weeks of gestation (n=7); group 3, PE and delivery before 37 weeks of gestation, including patients from group 2 and patients that presented PE with delivery between 34 and 37 weeks (n=17); and group 4, PE and delivery before 42 weeks of gestation, including patients from both groups 2 and 3 and patients that presented PE with delivery between 37 and 42 weeks of gestation (n=34). RESULTS: After the exclusion of 96 patients, we evaluated the data of 605 patients. By combining maternal characteristics, MAP, and the mean uterine artery PI for the detection of PE, we found a sensitivity of 71.4% in group 2, 50% in group 3, and 41.2% in group 4 (false positive rate=10%). CONCLUSION: Using maternal characteristics, MAP, and uterine artery Doppler data, we were able to identify a significant proportion of patients who developed preterm PE. Korean Society of Obstetrics and Gynecology; Korean Society of Contraception and Reproductive Health; Korean Society of Gynecologic Endocrinology; Korean Society of Gynecologic Endoscopy and Minimal Invasive Surgery; Korean Society of Maternal Fetal Medicine; Korean Society of Ultrasound in Obstetrics and Gynecology; Korean Urogynecologic Society 2019-11 2019-10-07 /pmc/articles/PMC6856477/ /pubmed/31777734 http://dx.doi.org/10.5468/ogs.2019.62.6.391 Text en Copyright © 2019 Korean Society of Obstetrics and Gynecology http://creativecommons.org/licenses/by-nc/3.0/ Articles published in Obstet Gynecol Sci are open-access, distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Leite, Juliana de Freitas Lobo, Guilherme Antonio Rago Nowak, Paulo Martin Antunes, Irene Reali Araujo Júnior, Edward Pares, David Baptista da Silva Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population |
title | Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population |
title_full | Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population |
title_fullStr | Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population |
title_full_unstemmed | Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population |
title_short | Prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery Doppler data in a Brazilian population |
title_sort | prediction of preeclampsia in the first trimester of pregnancy using maternal characteristics, mean arterial pressure, and uterine artery doppler data in a brazilian population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856477/ https://www.ncbi.nlm.nih.gov/pubmed/31777734 http://dx.doi.org/10.5468/ogs.2019.62.6.391 |
work_keys_str_mv | AT leitejulianadefreitas predictionofpreeclampsiainthefirsttrimesterofpregnancyusingmaternalcharacteristicsmeanarterialpressureanduterinearterydopplerdatainabrazilianpopulation AT loboguilhermeantoniorago predictionofpreeclampsiainthefirsttrimesterofpregnancyusingmaternalcharacteristicsmeanarterialpressureanduterinearterydopplerdatainabrazilianpopulation AT nowakpaulomartin predictionofpreeclampsiainthefirsttrimesterofpregnancyusingmaternalcharacteristicsmeanarterialpressureanduterinearterydopplerdatainabrazilianpopulation AT antunesirenereali predictionofpreeclampsiainthefirsttrimesterofpregnancyusingmaternalcharacteristicsmeanarterialpressureanduterinearterydopplerdatainabrazilianpopulation AT araujojunioredward predictionofpreeclampsiainthefirsttrimesterofpregnancyusingmaternalcharacteristicsmeanarterialpressureanduterinearterydopplerdatainabrazilianpopulation AT paresdavidbaptistadasilva predictionofpreeclampsiainthefirsttrimesterofpregnancyusingmaternalcharacteristicsmeanarterialpressureanduterinearterydopplerdatainabrazilianpopulation |