A Wright1, D Wright1, C A Ispas2, L C Poon2, K H Nicolaides2. 1. Institute of Health Research, University of Exeter, Exeter, UK. 2. Harris Birthright Research Centre for Fetal Medicine, King's College Hospital, London, UK.
Abstract
OBJECTIVE: To define the contribution of maternal variables that influence the measured mean arterial pressure (MAP) in screening for pregnancy complications. METHODS: Maternal characteristics and medical history were recorded, and MAP was measured, in women with a singleton pregnancy attending for three routine hospital visits at 11 + 0 to 13 + 6 weeks, 19 + 0 to 24 + 6 weeks and 30 + 0 to 34 + 6 weeks or 35 + 0 to 37 + 6 weeks' gestation. For pregnancies delivering phenotypically normal live births or stillbirths at ≥ 24 weeks' gestation, variables from maternal demographic characteristics and medical history that are important in the prediction of MAP were determined from linear mixed-effects multiple regression analysis. RESULTS: MAP was measured in 75 841 cases in the first trimester, 30 447 in the second trimester and 31 673 in the third trimester. Significant independent contributions to MAP were provided by gestational age, maternal age, weight, height, Afro-Caribbean racial origin, cigarette smoking, family history of pre-eclampsia (PE), history of PE in the previous pregnancy, interpregnancy interval, chronic hypertension and diabetes mellitus. The effects of some variables were similar, and for others differed, in the three different trimesters. Random-effects multiple regression analysis was used to define the contribution of maternal variables that influence the measured MAP and express the values as multiples of the median (MoMs). The model was shown to provide an adequate fit of MoM values for all covariates, both in pregnancies that developed PE and in those without this complication. CONCLUSIONS: A model was fitted to express the measured MAP as MoMs after adjustment for variables from maternal characteristics and medical history that affect this measurement.
OBJECTIVE: To define the contribution of maternal variables that influence the measured mean arterial pressure (MAP) in screening for pregnancy complications. METHODS: Maternal characteristics and medical history were recorded, and MAP was measured, in women with a singleton pregnancy attending for three routine hospital visits at 11 + 0 to 13 + 6 weeks, 19 + 0 to 24 + 6 weeks and 30 + 0 to 34 + 6 weeks or 35 + 0 to 37 + 6 weeks' gestation. For pregnancies delivering phenotypically normal live births or stillbirths at ≥ 24 weeks' gestation, variables from maternal demographic characteristics and medical history that are important in the prediction of MAP were determined from linear mixed-effects multiple regression analysis. RESULTS: MAP was measured in 75 841 cases in the first trimester, 30 447 in the second trimester and 31 673 in the third trimester. Significant independent contributions to MAP were provided by gestational age, maternal age, weight, height, Afro-Caribbean racial origin, cigarette smoking, family history of pre-eclampsia (PE), history of PE in the previous pregnancy, interpregnancy interval, chronic hypertension and diabetes mellitus. The effects of some variables were similar, and for others differed, in the three different trimesters. Random-effects multiple regression analysis was used to define the contribution of maternal variables that influence the measured MAP and express the values as multiples of the median (MoMs). The model was shown to provide an adequate fit of MoM values for all covariates, both in pregnancies that developed PE and in those without this complication. CONCLUSIONS: A model was fitted to express the measured MAP as MoMs after adjustment for variables from maternal characteristics and medical history that affect this measurement.
Authors: Liona C Poon; Andrew Shennan; Jonathan A Hyett; Anil Kapur; Eran Hadar; Hema Divakar; Fionnuala McAuliffe; Fabricio da Silva Costa; Peter von Dadelszen; Harold David McIntyre; Anne B Kihara; Gian Carlo Di Renzo; Roberto Romero; Mary D'Alton; Vincenzo Berghella; Kypros H Nicolaides; Moshe Hod Journal: Int J Gynaecol Obstet Date: 2019-05 Impact factor: 3.561
Authors: Silvia Visentin; Ambrogio P Londero; Martina Camerin; Enrico Grisan; Erich Cosmi Journal: Medicine (Baltimore) Date: 2017-01 Impact factor: 1.889
Authors: Jussara Mayrink; Renato T Souza; Francisco E Feitosa; Edilberto A Rocha Filho; Débora F Leite; Janete Vettorazzi; Iracema M Calderon; Maria L Costa; Louise Kenny; Philip Baker; Jose G Cecatti Journal: BMC Pregnancy Childbirth Date: 2019-12-03 Impact factor: 3.007