Performance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population
Abstract Background To evaluate the performance of the Fetal Medicine Foundation (FMF) preterm preeclampsia (PE) screening algorithm in an indigenous South Asian population. Methods This was a prospective observational cohort study conducted in a tertiary maternal fetal unit in Delhi, India over 2 y...
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oai:doaj.org-article:0d6bc5e706ac4b50b1820f2dab0494f72021-12-05T12:20:42ZPerformance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population10.1186/s12884-021-04283-61471-2393https://doaj.org/article/0d6bc5e706ac4b50b1820f2dab0494f72021-12-01T00:00:00Zhttps://doi.org/10.1186/s12884-021-04283-6https://doaj.org/toc/1471-2393Abstract Background To evaluate the performance of the Fetal Medicine Foundation (FMF) preterm preeclampsia (PE) screening algorithm in an indigenous South Asian population. Methods This was a prospective observational cohort study conducted in a tertiary maternal fetal unit in Delhi, India over 2 years. The study population comprised of 1863 women carrying a singleton pregnancy and of South Asian ethnicity who were screened for preterm pre-eclampsia (PE) between 11 and 14 weeks of gestation using Mean Arterial Pressure (MAP), transvaginal Mean Uterine Artery Pulsatility Index (UtAPI) and biochemical markers - Pregnancy Associated Plasma Protein-A (PAPP-A) and Placental Growth Factor.. Absolutemeasurements of noted biomarkers were converted to multiples of the expected gestational median (MoMS) which were then used to estimate risk for preterm PE < 37 weeks using Astraia software. Women with preterm PE risk of ≥1:100 was classified as as high risk. Detection rates (DR) at 10% false positive rate were calculated after adjusting for prophylactic aspirin use (either 75 or 150 mg). Results The incidence of PE and preterm PE were 3.17% (59/1863) and 1.34% (25/1863) respectively. PAPP-A and PlGF MoM distribution medians were 0.86 and 0.87 MoM and significantly deviated from 1 MoM. 431 (23.1%) women had a risk of ≥1:100, 75 (17.8%) of who received aspirin. Unadjusted DR using ≥1:100 threshold was 76%.Estimated DRs for a fixed 10% FPR ranged from 52.5 to 80% depending on biomarker combination after recentering MoMs and adjusting for aspirin use. Conclusion The FMF algorithm whilst performing satisfactorily could still be further improved to ensure that biophysical and biochemical markers are correctly adjusted for indigenous South Asian women.Smriti PrasadDaljit Singh SahotaP. VanamailAkshatha SharmaSaloni AroraAnita KaulBMCarticlePre-eclampsiaSouth AsianScreening1st trimesterUterine artery Pulsatility indexMean arterial pressureGynecology and obstetricsRG1-991ENBMC Pregnancy and Childbirth, Vol 21, Iss 1, Pp 1-7 (2021) |
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Pre-eclampsia South Asian Screening 1st trimester Uterine artery Pulsatility index Mean arterial pressure Gynecology and obstetrics RG1-991 |
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Pre-eclampsia South Asian Screening 1st trimester Uterine artery Pulsatility index Mean arterial pressure Gynecology and obstetrics RG1-991 Smriti Prasad Daljit Singh Sahota P. Vanamail Akshatha Sharma Saloni Arora Anita Kaul Performance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population |
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Abstract Background To evaluate the performance of the Fetal Medicine Foundation (FMF) preterm preeclampsia (PE) screening algorithm in an indigenous South Asian population. Methods This was a prospective observational cohort study conducted in a tertiary maternal fetal unit in Delhi, India over 2 years. The study population comprised of 1863 women carrying a singleton pregnancy and of South Asian ethnicity who were screened for preterm pre-eclampsia (PE) between 11 and 14 weeks of gestation using Mean Arterial Pressure (MAP), transvaginal Mean Uterine Artery Pulsatility Index (UtAPI) and biochemical markers - Pregnancy Associated Plasma Protein-A (PAPP-A) and Placental Growth Factor.. Absolutemeasurements of noted biomarkers were converted to multiples of the expected gestational median (MoMS) which were then used to estimate risk for preterm PE < 37 weeks using Astraia software. Women with preterm PE risk of ≥1:100 was classified as as high risk. Detection rates (DR) at 10% false positive rate were calculated after adjusting for prophylactic aspirin use (either 75 or 150 mg). Results The incidence of PE and preterm PE were 3.17% (59/1863) and 1.34% (25/1863) respectively. PAPP-A and PlGF MoM distribution medians were 0.86 and 0.87 MoM and significantly deviated from 1 MoM. 431 (23.1%) women had a risk of ≥1:100, 75 (17.8%) of who received aspirin. Unadjusted DR using ≥1:100 threshold was 76%.Estimated DRs for a fixed 10% FPR ranged from 52.5 to 80% depending on biomarker combination after recentering MoMs and adjusting for aspirin use. Conclusion The FMF algorithm whilst performing satisfactorily could still be further improved to ensure that biophysical and biochemical markers are correctly adjusted for indigenous South Asian women. |
format |
article |
author |
Smriti Prasad Daljit Singh Sahota P. Vanamail Akshatha Sharma Saloni Arora Anita Kaul |
author_facet |
Smriti Prasad Daljit Singh Sahota P. Vanamail Akshatha Sharma Saloni Arora Anita Kaul |
author_sort |
Smriti Prasad |
title |
Performance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population |
title_short |
Performance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population |
title_full |
Performance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population |
title_fullStr |
Performance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population |
title_full_unstemmed |
Performance of Fetal Medicine Foundation algorithm for first trimester preeclampsia screening in an indigenous south Asian population |
title_sort |
performance of fetal medicine foundation algorithm for first trimester preeclampsia screening in an indigenous south asian population |
publisher |
BMC |
publishDate |
2021 |
url |
https://doaj.org/article/0d6bc5e706ac4b50b1820f2dab0494f7 |
work_keys_str_mv |
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