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Early Pregnancy Prediction of Preeclampsia in Nulliparous Women, Combining Clinical Risk and Biomarkers: The Screening for Pregnancy Endpoints (SCOPE) International Cohort Study

More than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was to develop a method to predict those at risk by combining clinical factors and measurements of biomarkers in women recruited to the Screening for Pregnancy Endpoints (SCOPE) study of low-risk nullipar... Full description

Journal Title: Hypertension (Dallas Tex. 1979), 2014, Vol.64 (3), p.644-652
Main Author: KENNY, Louise C
Other Authors: BLACK, Michael A , RODEMS, Kelline , NOLAND, Brian , RAYMUNDO, Michael , WALKER, James J , NORTH, Robyn A , POSTON, Lucilla , TAYLOR, Rennae , MYERS, Jenny E , BAKER, Philip N , MCCOWAN, Lesley M , SIMPSON, Nigel A. B , DEKKER, Gus A , ROBERTS, Claire T
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: Hagerstown, MD: Lippincott Williams & Wilkins
ID: ISSN: 0194-911X
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recordid: cdi_proquest_miscellaneous_1553703926
title: Early Pregnancy Prediction of Preeclampsia in Nulliparous Women, Combining Clinical Risk and Biomarkers: The Screening for Pregnancy Endpoints (SCOPE) International Cohort Study
format: Article
creator:
  • KENNY, Louise C
  • BLACK, Michael A
  • RODEMS, Kelline
  • NOLAND, Brian
  • RAYMUNDO, Michael
  • WALKER, James J
  • NORTH, Robyn A
  • POSTON, Lucilla
  • TAYLOR, Rennae
  • MYERS, Jenny E
  • BAKER, Philip N
  • MCCOWAN, Lesley M
  • SIMPSON, Nigel A. B
  • DEKKER, Gus A
  • ROBERTS, Claire T
subjects:
  • Adult
  • Arterial hypertension. Arterial hypotension
  • Biological and medical sciences
  • Biomarkers - blood
  • Blood and lymphatic vessels
  • Blood Pressure - physiology
  • Body Mass Index
  • Cardiology. Vascular system
  • Cohort Studies
  • Diseases of mother, fetus and pregnancy
  • Female
  • Gynecology. Andrology. Obstetrics
  • Humans
  • International Cooperation
  • Mass Screening - methods
  • Medical sciences
  • Models, Statistical
  • Parity
  • Placenta Growth Factor
  • Pre-Eclampsia - blood
  • Pre-Eclampsia - epidemiology
  • Pre-Eclampsia - physiopathology
  • Predictive Value of Tests
  • Pregnancy
  • Pregnancy Proteins - blood
  • Pregnancy. Fetus. Placenta
  • Random Allocation
  • Ribonuclease, Pancreatic - blood
  • Risk Factors
  • Vascular Resistance - physiology
ispartof: Hypertension (Dallas, Tex. 1979), 2014, Vol.64 (3), p.644-652
description: More than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was to develop a method to predict those at risk by combining clinical factors and measurements of biomarkers in women recruited to the Screening for Pregnancy Endpoints (SCOPE) study of low-risk nulliparous women. Forty-seven biomarkers identified on the basis of (1) association with preeclampsia, (2) a biological role in placentation, or (3) a role in cellular mechanisms involved in the pathogenesis of preeclampsia were measured in plasma sampled at 14 to 16 weeks' gestation from 5623 women. The cohort was randomly divided into training (n=3747) and validation (n=1876) cohorts. Preeclampsia developed in 278 (4.9%) women, of whom 28 (0.5%) developed early-onset preeclampsia. The final model for the prediction of preeclampsia included placental growth factor, mean arterial pressure, and body mass index at 14 to 16 weeks' gestation, the consumption of ≥3 pieces of fruit per day, and mean uterine artery resistance index. The area under the receiver operator curve (95% confidence interval) for this model in training and validation cohorts was 0.73 (0.70-0.77) and 0.68 (0.63-0.74), respectively. A predictive model of early-onset preeclampsia included angiogenin/placental growth factor as a ratio, mean arterial pressure, any pregnancy loss
language: eng
source:
identifier: ISSN: 0194-911X
fulltext: no_fulltext
issn:
  • 0194-911X
  • 1524-4563
url: Link


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titleEarly Pregnancy Prediction of Preeclampsia in Nulliparous Women, Combining Clinical Risk and Biomarkers: The Screening for Pregnancy Endpoints (SCOPE) International Cohort Study
creatorKENNY, Louise C ; BLACK, Michael A ; RODEMS, Kelline ; NOLAND, Brian ; RAYMUNDO, Michael ; WALKER, James J ; NORTH, Robyn A ; POSTON, Lucilla ; TAYLOR, Rennae ; MYERS, Jenny E ; BAKER, Philip N ; MCCOWAN, Lesley M ; SIMPSON, Nigel A. B ; DEKKER, Gus A ; ROBERTS, Claire T
creatorcontribKENNY, Louise C ; BLACK, Michael A ; RODEMS, Kelline ; NOLAND, Brian ; RAYMUNDO, Michael ; WALKER, James J ; NORTH, Robyn A ; POSTON, Lucilla ; TAYLOR, Rennae ; MYERS, Jenny E ; BAKER, Philip N ; MCCOWAN, Lesley M ; SIMPSON, Nigel A. B ; DEKKER, Gus A ; ROBERTS, Claire T
descriptionMore than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was to develop a method to predict those at risk by combining clinical factors and measurements of biomarkers in women recruited to the Screening for Pregnancy Endpoints (SCOPE) study of low-risk nulliparous women. Forty-seven biomarkers identified on the basis of (1) association with preeclampsia, (2) a biological role in placentation, or (3) a role in cellular mechanisms involved in the pathogenesis of preeclampsia were measured in plasma sampled at 14 to 16 weeks' gestation from 5623 women. The cohort was randomly divided into training (n=3747) and validation (n=1876) cohorts. Preeclampsia developed in 278 (4.9%) women, of whom 28 (0.5%) developed early-onset preeclampsia. The final model for the prediction of preeclampsia included placental growth factor, mean arterial pressure, and body mass index at 14 to 16 weeks' gestation, the consumption of ≥3 pieces of fruit per day, and mean uterine artery resistance index. The area under the receiver operator curve (95% confidence interval) for this model in training and validation cohorts was 0.73 (0.70-0.77) and 0.68 (0.63-0.74), respectively. A predictive model of early-onset preeclampsia included angiogenin/placental growth factor as a ratio, mean arterial pressure, any pregnancy loss <10 weeks, and mean uterine artery resistance index (area under the receiver operator curve [95% confidence interval] in training and validation cohorts, 0.89 [0.78-1.0] and 0.78 [0.58-0.99], respectively). Neither model included pregnancy-associated plasma protein A, previously reported to predict preeclampsia in populations of mixed parity and risk. In nulliparous women, combining multiple biomarkers and clinical data provided modest prediction of preeclampsia.
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subjectAdult ; Arterial hypertension. Arterial hypotension ; Biological and medical sciences ; Biomarkers - blood ; Blood and lymphatic vessels ; Blood Pressure - physiology ; Body Mass Index ; Cardiology. Vascular system ; Cohort Studies ; Diseases of mother, fetus and pregnancy ; Female ; Gynecology. Andrology. Obstetrics ; Humans ; International Cooperation ; Mass Screening - methods ; Medical sciences ; Models, Statistical ; Parity ; Placenta Growth Factor ; Pre-Eclampsia - blood ; Pre-Eclampsia - epidemiology ; Pre-Eclampsia - physiopathology ; Predictive Value of Tests ; Pregnancy ; Pregnancy Proteins - blood ; Pregnancy. Fetus. Placenta ; Random Allocation ; Ribonuclease, Pancreatic - blood ; Risk Factors ; Vascular Resistance - physiology
ispartofHypertension (Dallas, Tex. 1979), 2014, Vol.64 (3), p.644-652
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12014 American Heart Association, Inc.
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0KENNY, Louise C
1BLACK, Michael A
2RODEMS, Kelline
3NOLAND, Brian
4RAYMUNDO, Michael
5WALKER, James J
6NORTH, Robyn A
7POSTON, Lucilla
8TAYLOR, Rennae
9MYERS, Jenny E
10BAKER, Philip N
11MCCOWAN, Lesley M
12SIMPSON, Nigel A. B
13DEKKER, Gus A
14ROBERTS, Claire T
title
0Early Pregnancy Prediction of Preeclampsia in Nulliparous Women, Combining Clinical Risk and Biomarkers: The Screening for Pregnancy Endpoints (SCOPE) International Cohort Study
1Hypertension (Dallas, Tex. 1979)
addtitleHypertension
descriptionMore than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was to develop a method to predict those at risk by combining clinical factors and measurements of biomarkers in women recruited to the Screening for Pregnancy Endpoints (SCOPE) study of low-risk nulliparous women. Forty-seven biomarkers identified on the basis of (1) association with preeclampsia, (2) a biological role in placentation, or (3) a role in cellular mechanisms involved in the pathogenesis of preeclampsia were measured in plasma sampled at 14 to 16 weeks' gestation from 5623 women. The cohort was randomly divided into training (n=3747) and validation (n=1876) cohorts. Preeclampsia developed in 278 (4.9%) women, of whom 28 (0.5%) developed early-onset preeclampsia. The final model for the prediction of preeclampsia included placental growth factor, mean arterial pressure, and body mass index at 14 to 16 weeks' gestation, the consumption of ≥3 pieces of fruit per day, and mean uterine artery resistance index. The area under the receiver operator curve (95% confidence interval) for this model in training and validation cohorts was 0.73 (0.70-0.77) and 0.68 (0.63-0.74), respectively. A predictive model of early-onset preeclampsia included angiogenin/placental growth factor as a ratio, mean arterial pressure, any pregnancy loss <10 weeks, and mean uterine artery resistance index (area under the receiver operator curve [95% confidence interval] in training and validation cohorts, 0.89 [0.78-1.0] and 0.78 [0.58-0.99], respectively). Neither model included pregnancy-associated plasma protein A, previously reported to predict preeclampsia in populations of mixed parity and risk. In nulliparous women, combining multiple biomarkers and clinical data provided modest prediction of preeclampsia.
subject
0Adult
1Arterial hypertension. Arterial hypotension
2Biological and medical sciences
3Biomarkers - blood
4Blood and lymphatic vessels
5Blood Pressure - physiology
6Body Mass Index
7Cardiology. Vascular system
8Cohort Studies
9Diseases of mother, fetus and pregnancy
10Female
11Gynecology. Andrology. Obstetrics
12Humans
13International Cooperation
14Mass Screening - methods
15Medical sciences
16Models, Statistical
17Parity
18Placenta Growth Factor
19Pre-Eclampsia - blood
20Pre-Eclampsia - epidemiology
21Pre-Eclampsia - physiopathology
22Predictive Value of Tests
23Pregnancy
24Pregnancy Proteins - blood
25Pregnancy. Fetus. Placenta
26Random Allocation
27Ribonuclease, Pancreatic - blood
28Risk Factors
29Vascular Resistance - physiology
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1BLACK, Michael A
2RODEMS, Kelline
3NOLAND, Brian
4RAYMUNDO, Michael
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6NORTH, Robyn A
7POSTON, Lucilla
8TAYLOR, Rennae
9MYERS, Jenny E
10BAKER, Philip N
11MCCOWAN, Lesley M
12SIMPSON, Nigel A. B
13DEKKER, Gus A
14ROBERTS, Claire T
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titleEarly Pregnancy Prediction of Preeclampsia in Nulliparous Women, Combining Clinical Risk and Biomarkers: The Screening for Pregnancy Endpoints (SCOPE) International Cohort Study
authorKENNY, Louise C ; BLACK, Michael A ; RODEMS, Kelline ; NOLAND, Brian ; RAYMUNDO, Michael ; WALKER, James J ; NORTH, Robyn A ; POSTON, Lucilla ; TAYLOR, Rennae ; MYERS, Jenny E ; BAKER, Philip N ; MCCOWAN, Lesley M ; SIMPSON, Nigel A. B ; DEKKER, Gus A ; ROBERTS, Claire T
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1Arterial hypertension. Arterial hypotension
2Biological and medical sciences
3Biomarkers - blood
4Blood and lymphatic vessels
5Blood Pressure - physiology
6Body Mass Index
7Cardiology. Vascular system
8Cohort Studies
9Diseases of mother, fetus and pregnancy
10Female
11Gynecology. Andrology. Obstetrics
12Humans
13International Cooperation
14Mass Screening - methods
15Medical sciences
16Models, Statistical
17Parity
18Placenta Growth Factor
19Pre-Eclampsia - blood
20Pre-Eclampsia - epidemiology
21Pre-Eclampsia - physiopathology
22Predictive Value of Tests
23Pregnancy
24Pregnancy Proteins - blood
25Pregnancy. Fetus. Placenta
26Random Allocation
27Ribonuclease, Pancreatic - blood
28Risk Factors
29Vascular Resistance - physiology
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1BLACK, Michael A
2RODEMS, Kelline
3NOLAND, Brian
4RAYMUNDO, Michael
5WALKER, James J
6NORTH, Robyn A
7POSTON, Lucilla
8TAYLOR, Rennae
9MYERS, Jenny E
10BAKER, Philip N
11MCCOWAN, Lesley M
12SIMPSON, Nigel A. B
13DEKKER, Gus A
14ROBERTS, Claire T
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8TAYLOR, Rennae
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abstractMore than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was to develop a method to predict those at risk by combining clinical factors and measurements of biomarkers in women recruited to the Screening for Pregnancy Endpoints (SCOPE) study of low-risk nulliparous women. Forty-seven biomarkers identified on the basis of (1) association with preeclampsia, (2) a biological role in placentation, or (3) a role in cellular mechanisms involved in the pathogenesis of preeclampsia were measured in plasma sampled at 14 to 16 weeks' gestation from 5623 women. The cohort was randomly divided into training (n=3747) and validation (n=1876) cohorts. Preeclampsia developed in 278 (4.9%) women, of whom 28 (0.5%) developed early-onset preeclampsia. The final model for the prediction of preeclampsia included placental growth factor, mean arterial pressure, and body mass index at 14 to 16 weeks' gestation, the consumption of ≥3 pieces of fruit per day, and mean uterine artery resistance index. The area under the receiver operator curve (95% confidence interval) for this model in training and validation cohorts was 0.73 (0.70-0.77) and 0.68 (0.63-0.74), respectively. A predictive model of early-onset preeclampsia included angiogenin/placental growth factor as a ratio, mean arterial pressure, any pregnancy loss <10 weeks, and mean uterine artery resistance index (area under the receiver operator curve [95% confidence interval] in training and validation cohorts, 0.89 [0.78-1.0] and 0.78 [0.58-0.99], respectively). Neither model included pregnancy-associated plasma protein A, previously reported to predict preeclampsia in populations of mixed parity and risk. In nulliparous women, combining multiple biomarkers and clinical data provided modest prediction of preeclampsia.
copHagerstown, MD
pubLippincott Williams & Wilkins
pmid25122928
doi10.1161/HYPERTENSIONAHA.114.03578