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Demographic factors that can be used to predict early-onset pre-eclampsia

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Demographic factors that can be used to predict early-onset pre-eclampsia. / Leung, Constance; Saaid, Rahmah; Pederson, Lars; Park, Felicity; Poon, Leona; Hyett, Jon.

In: JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE, 2014.

Research output: Contribution to journalArticle

Harvard

Leung, C, Saaid, R, Pederson, L, Park, F, Poon, L & Hyett, J 2014, 'Demographic factors that can be used to predict early-onset pre-eclampsia', JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE. https://doi.org/10.3109/14767058.2014.923837

APA

Leung, C., Saaid, R., Pederson, L., Park, F., Poon, L., & Hyett, J. (2014). Demographic factors that can be used to predict early-onset pre-eclampsia. JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE. https://doi.org/10.3109/14767058.2014.923837

Vancouver

Leung C, Saaid R, Pederson L, Park F, Poon L, Hyett J. Demographic factors that can be used to predict early-onset pre-eclampsia. JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE. 2014. https://doi.org/10.3109/14767058.2014.923837

Author

Leung, Constance ; Saaid, Rahmah ; Pederson, Lars ; Park, Felicity ; Poon, Leona ; Hyett, Jon. / Demographic factors that can be used to predict early-onset pre-eclampsia. In: JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE. 2014.

Bibtex Download

@article{bf43fa2b06194d95b5d979e0862997fd,
title = "Demographic factors that can be used to predict early-onset pre-eclampsia",
abstract = "Objective: To define the maternal demographic factors that predict risk of developing early-onset pre-eclampsia (requiring delivery before 34 weeks' gestation) in an Australian population. These are compared to risk factors described in a British population to determine whether the Fetal Medicine Foundation (FMF) risk algorithm for predicting early-onset pre-eclampsia needs to be modified for an Australian population. Methods: A secondary analysis of prospective cohorts in Australia and in the United Kingdom was conducted. Demographic details and past medical history were obtained. Odds ratios (ORs) for the development of early-onset pre-eclampsia were calculated for maternal factors in both populations. Forest plots were used to compare the two sets of odds ratios. Results: In the Australian population, pre-existing hypertension (OR 19.89, 95% CI 4.17-94.93) and body mass index > 40kg/m 2 (OR 9.04, 95% CI 1.13-72.40) predicted risk of developing early-onset pre-eclampsia. There were no significant differences in the odds ratios for maternal factors in the two populations. Conclusions: This study shows that the ORs used to describe risks associated with maternal characteristics in the FMF algorithm for early-onset pre-eclampsia are consistent with those found in our local population. There does not appear to be any value in changing the weighting of demographic factors included in the FMF algorithm for an Australian population.",
author = "Constance Leung and Rahmah Saaid and Lars Pederson and Felicity Park and Leona Poon and Jon Hyett",
year = "2014",
doi = "10.3109/14767058.2014.923837",
language = "English",
journal = "JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE",
issn = "1476-7058",
publisher = "Taylor & Francis",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Demographic factors that can be used to predict early-onset pre-eclampsia

AU - Leung, Constance

AU - Saaid, Rahmah

AU - Pederson, Lars

AU - Park, Felicity

AU - Poon, Leona

AU - Hyett, Jon

PY - 2014

Y1 - 2014

N2 - Objective: To define the maternal demographic factors that predict risk of developing early-onset pre-eclampsia (requiring delivery before 34 weeks' gestation) in an Australian population. These are compared to risk factors described in a British population to determine whether the Fetal Medicine Foundation (FMF) risk algorithm for predicting early-onset pre-eclampsia needs to be modified for an Australian population. Methods: A secondary analysis of prospective cohorts in Australia and in the United Kingdom was conducted. Demographic details and past medical history were obtained. Odds ratios (ORs) for the development of early-onset pre-eclampsia were calculated for maternal factors in both populations. Forest plots were used to compare the two sets of odds ratios. Results: In the Australian population, pre-existing hypertension (OR 19.89, 95% CI 4.17-94.93) and body mass index > 40kg/m 2 (OR 9.04, 95% CI 1.13-72.40) predicted risk of developing early-onset pre-eclampsia. There were no significant differences in the odds ratios for maternal factors in the two populations. Conclusions: This study shows that the ORs used to describe risks associated with maternal characteristics in the FMF algorithm for early-onset pre-eclampsia are consistent with those found in our local population. There does not appear to be any value in changing the weighting of demographic factors included in the FMF algorithm for an Australian population.

AB - Objective: To define the maternal demographic factors that predict risk of developing early-onset pre-eclampsia (requiring delivery before 34 weeks' gestation) in an Australian population. These are compared to risk factors described in a British population to determine whether the Fetal Medicine Foundation (FMF) risk algorithm for predicting early-onset pre-eclampsia needs to be modified for an Australian population. Methods: A secondary analysis of prospective cohorts in Australia and in the United Kingdom was conducted. Demographic details and past medical history were obtained. Odds ratios (ORs) for the development of early-onset pre-eclampsia were calculated for maternal factors in both populations. Forest plots were used to compare the two sets of odds ratios. Results: In the Australian population, pre-existing hypertension (OR 19.89, 95% CI 4.17-94.93) and body mass index > 40kg/m 2 (OR 9.04, 95% CI 1.13-72.40) predicted risk of developing early-onset pre-eclampsia. There were no significant differences in the odds ratios for maternal factors in the two populations. Conclusions: This study shows that the ORs used to describe risks associated with maternal characteristics in the FMF algorithm for early-onset pre-eclampsia are consistent with those found in our local population. There does not appear to be any value in changing the weighting of demographic factors included in the FMF algorithm for an Australian population.

U2 - 10.3109/14767058.2014.923837

DO - 10.3109/14767058.2014.923837

M3 - Article

JO - JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE

JF - JOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE

SN - 1476-7058

ER -

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