Routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study

Abstract The objective was to evaluate the sequentially updated predictive capacity for preeclampsia during pregnancy, using multivariable longitudinal models including data from antenatal care. This population-based cohort study in the Stockholm-Gotland Counties, Sweden, included 58,899 pregnancies...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Anna Sandström, Jonathan M. Snowden, Matteo Bottai, Olof Stephansson, Anna-Karin Wikström
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/346b9fcaece842748a5b843f0fcd4e3a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:346b9fcaece842748a5b843f0fcd4e3a
record_format dspace
spelling oai:doaj.org-article:346b9fcaece842748a5b843f0fcd4e3a2021-12-02T19:12:27ZRoutinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study10.1038/s41598-021-97465-32045-2322https://doaj.org/article/346b9fcaece842748a5b843f0fcd4e3a2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97465-3https://doaj.org/toc/2045-2322Abstract The objective was to evaluate the sequentially updated predictive capacity for preeclampsia during pregnancy, using multivariable longitudinal models including data from antenatal care. This population-based cohort study in the Stockholm-Gotland Counties, Sweden, included 58,899 pregnancies of nulliparous women 2008–2013. Prospectively collected data from each antenatal care visit was used, including maternal characteristics, reproductive and medical history, and repeated measurements of blood pressure, weight, symphysis-fundal height, proteinuria, hemoglobin and blood glucose levels. We used a shared-effects joint longitudinal model including all available information up until a given gestational length (week 24, 28, 32, 34 and 36), to update preeclampsia prediction sequentially. Outcome measures were prediction of preeclampsia, preeclampsia with delivery < 37, and preeclampsia with delivery ≥ 37 weeks’ gestation. The area under the curve (AUC) increased with gestational length. AUC for preeclampsia with delivery < 37 weeks’ gestation was 0.73 (95% CI 0.68–0.79) at week 24, and increased to 0.87 (95% CI 0.84–0.90) in week 34. For preeclampsia with delivery ≥ 37 weeks’ gestation, the AUC in week 24 was 0.65 (95% CI 0.63–0.68), but increased to 0.79 (95% CI 0.78–0.80) in week 36. The addition of routinely collected clinical measurements throughout pregnancy improve preeclampsia prediction and may be useful to individualize antenatal care.Anna SandströmJonathan M. SnowdenMatteo BottaiOlof StephanssonAnna-Karin WikströmNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Anna Sandström
Jonathan M. Snowden
Matteo Bottai
Olof Stephansson
Anna-Karin Wikström
Routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study
description Abstract The objective was to evaluate the sequentially updated predictive capacity for preeclampsia during pregnancy, using multivariable longitudinal models including data from antenatal care. This population-based cohort study in the Stockholm-Gotland Counties, Sweden, included 58,899 pregnancies of nulliparous women 2008–2013. Prospectively collected data from each antenatal care visit was used, including maternal characteristics, reproductive and medical history, and repeated measurements of blood pressure, weight, symphysis-fundal height, proteinuria, hemoglobin and blood glucose levels. We used a shared-effects joint longitudinal model including all available information up until a given gestational length (week 24, 28, 32, 34 and 36), to update preeclampsia prediction sequentially. Outcome measures were prediction of preeclampsia, preeclampsia with delivery < 37, and preeclampsia with delivery ≥ 37 weeks’ gestation. The area under the curve (AUC) increased with gestational length. AUC for preeclampsia with delivery < 37 weeks’ gestation was 0.73 (95% CI 0.68–0.79) at week 24, and increased to 0.87 (95% CI 0.84–0.90) in week 34. For preeclampsia with delivery ≥ 37 weeks’ gestation, the AUC in week 24 was 0.65 (95% CI 0.63–0.68), but increased to 0.79 (95% CI 0.78–0.80) in week 36. The addition of routinely collected clinical measurements throughout pregnancy improve preeclampsia prediction and may be useful to individualize antenatal care.
format article
author Anna Sandström
Jonathan M. Snowden
Matteo Bottai
Olof Stephansson
Anna-Karin Wikström
author_facet Anna Sandström
Jonathan M. Snowden
Matteo Bottai
Olof Stephansson
Anna-Karin Wikström
author_sort Anna Sandström
title Routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study
title_short Routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study
title_full Routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study
title_fullStr Routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study
title_full_unstemmed Routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study
title_sort routinely collected antenatal data for longitudinal prediction of preeclampsia in nulliparous women: a population-based study
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/346b9fcaece842748a5b843f0fcd4e3a
work_keys_str_mv AT annasandstrom routinelycollectedantenataldataforlongitudinalpredictionofpreeclampsiainnulliparouswomenapopulationbasedstudy
AT jonathanmsnowden routinelycollectedantenataldataforlongitudinalpredictionofpreeclampsiainnulliparouswomenapopulationbasedstudy
AT matteobottai routinelycollectedantenataldataforlongitudinalpredictionofpreeclampsiainnulliparouswomenapopulationbasedstudy
AT olofstephansson routinelycollectedantenataldataforlongitudinalpredictionofpreeclampsiainnulliparouswomenapopulationbasedstudy
AT annakarinwikstrom routinelycollectedantenataldataforlongitudinalpredictionofpreeclampsiainnulliparouswomenapopulationbasedstudy
_version_ 1718377043339509760