Systematic review of prediction models for gestational hypertension and preeclampsia.
Edward Antwi,Mary Amoakoh-Coleman,Mary Amoakoh-Coleman,Dorice Vieira,Shreya Madhavaram,Kwadwo A. Koram,Diederick E. Grobbee,Irene Akua Agyepong,Kerstin Klipstein-Grobusch,Kerstin Klipstein-Grobusch +9 more
TLDR
Most of the studies evaluated did not completely follow the CHARMS, TRIPOD and STROBE guidelines in prediction model development and reporting, and should be externally validated for use in low and middle income countries where biomarkers are not routinely available.Abstract:
Introduction Prediction models for gestational hypertension and preeclampsia have been developed with data and assumptions from developed countries. Their suitability and application for low resource settings have not been tested. This review aimed to identify and assess the methodological quality of prediction models for gestational hypertension and pre-eclampsia with reference to their application in low resource settings. Methods Using combinations of keywords for gestational hypertension, preeclampsia and prediction models seven databases were searched to identify prediction models developed with maternal data obtained before 20 weeks of pregnancy and including at least three predictors (Prospero registration CRD 42017078786). Prediction model characteristics and performance measures were extracted using the CHARMS, STROBE and TRIPOD checklists. The National Institute of Health quality assessment tools for observational cohort and cross-sectional studies were used for study quality appraisal. Results We retrieved 8,309 articles out of which 40 articles were eligible for review. Seventy-seven percent of all the prediction models combined biomarkers with maternal clinical characteristics. Biomarkers used as predictors in most models were pregnancy associated plasma protein-A (PAPP-A) and placental growth factor (PlGF). Only five studies were conducted in a low-and middle income country. Conclusions Most of the studies evaluated did not completely follow the CHARMS, TRIPOD and STROBE guidelines in prediction model development and reporting. Adherence to these guidelines will improve prediction modelling studies and subsequent application of prediction models in clinical practice. Prediction models using maternal characteristics, with good discrimination and calibration, should be externally validated for use in low and middle income countries where biomarker assays are not routinely available.read more
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Does race or ethnicity play a role in the origin, pathophysiology, and outcomes of preeclampsia? An expert review of the literature
Jasmine D. Johnson,Judette Louis +1 more
TL;DR: A population based study found racial/ethnic differences in preeclampsia recurrence after implementation of low dose aspirin supplementation, and a multilevel approach provides a more comprehensive approach and takes into account the influence of behavioral factors, environmental factors, and healthcare systems, not just on the individual.
Journal ArticleDOI
Does race or ethnicity play a role in the origin, pathophysiology, and outcomes of preeclampsia? An expert review of the literature
TL;DR: The role of race and ethnicity in the burden of preeclampsia is examined in this paper , where a multilevel framework is proposed to take into account the influence of behavioral factors, environmental factors, and healthcare systems, not just on the individual.
Journal ArticleDOI
Pre-Pregnancy Obesity vs. Other Risk Factors in Probability Models of Preeclampsia and Gestational Hypertension.
TL;DR: Pre-pregnancy BMI was the most likely factor to increase the probability of developing hypertension in pregnancy, compared to other risk factors.
Journal ArticleDOI
The Pivotal Role of the Placenta in Normal and Pathological Pregnancies: A Focus on Preeclampsia, Fetal Growth Restriction, and Maternal Chronic Venous Disease
Miguel A Ortega,Oscar Fraile-Martínez,C. García-Montero,Miguel A. Saez,Miguel Angel Alvarez-Mon,Diego Torres-Carranza,Melchor Alvarez-Mon,Julia Buján,Natalio García-Honduvilla,Coral Bravo,Luis G. Guijarro,Juan De León-Luis +11 more
TL;DR: The aim of this review is to summarize the main features of the placenta, with a special focus on its early development, cytoarchitecture, immunology, and functions in non-pathological conditions.
Journal ArticleDOI
Artificial intelligence in obstetrics
TL;DR: In this paper , the authors reviewed recent advances on the application of artificial intelligence for the early diagnosis of various maternal-fetal conditions such as preterm birth and abnormal fetal growth.
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