Cargando…
Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study
INTRODUCTION: Most studies on factors affecting the risk of preeclampsia have not separated preterm from term preeclampsia, and we still know little about whether the predisposing conditions have a differentiated effect on the risk of preterm and term preeclampsia. Our aim was to assess whether diab...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577625/ https://www.ncbi.nlm.nih.gov/pubmed/37491773 http://dx.doi.org/10.1111/aogs.14642 |
_version_ | 1785121365650571264 |
---|---|
author | Sande, Anne Kvie Dalen, Ingvild Torkildsen, Erik Andreas Sande, Ragnar Kvie Morken, Nils‐Halvdan |
author_facet | Sande, Anne Kvie Dalen, Ingvild Torkildsen, Erik Andreas Sande, Ragnar Kvie Morken, Nils‐Halvdan |
author_sort | Sande, Anne Kvie |
collection | PubMed |
description | INTRODUCTION: Most studies on factors affecting the risk of preeclampsia have not separated preterm from term preeclampsia, and we still know little about whether the predisposing conditions have a differentiated effect on the risk of preterm and term preeclampsia. Our aim was to assess whether diabetes type 1 and 2, chronic kidney disease, asthma, epilepsy, rheumatoid arthritis and chronic hypertension were differentially associated with preterm and term preeclampsia. MATERIAL AND METHODS: This is a nationwide, population‐based cohort study containing all births registered in the Medical Birth Registry of Norway from 1999 to 2016. Multinomial logistic regression analysis was used to estimate relative risk ratios (RRRs) with 95% confidence intervals (95% CIs), adjusting for maternal age, parity, multiple gestation and all other studied maternal risk factors. RESULTS: We registered 1 044 860 deliveries, of which 9533 (0.9%) women had preterm preeclampsia (<37 weeks) and 26 504 (2.5%) women had term preeclampsia (>37 weeks). Most of the assessed maternal risk factors were associated with increased risk for both preterm and term preeclampsia, with adjusted RRRs ranging from 1.2 to 10.5 (preterm vs no preeclampsia) and 0.9–5.7 (term vs no preeclampsia). Diabetes type 1 and 2 (RRR preterm vs term preeclampsia 2.89, 95% CI 2.46–3.39 and RRR 1.68, 95% CI 1.25–2.25, respectively), chronic kidney disease (RRR 1.55, 95% CI 1.11–2.17) and chronic hypertension (RRR 1.85, 95% CI 1.63–2.10) were more strongly associated with preterm than term preeclampsia in adjusted analyses. For asthma, epilepsy and rheumatoid arthritis, RRRs were closer to one and not significant when comparing risk of preterm and term preeclampsia. Main results were similar when using a diagnosis at <34 weeks to define preterm preeclampsia. CONCLUSIONS: Diabetes type 1 and 2, chronic kidney disease and chronic hypertension were more strongly associated with preterm than term preeclampsia. |
format | Online Article Text |
id | pubmed-10577625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105776252023-10-17 Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study Sande, Anne Kvie Dalen, Ingvild Torkildsen, Erik Andreas Sande, Ragnar Kvie Morken, Nils‐Halvdan Acta Obstet Gynecol Scand Pregnancy INTRODUCTION: Most studies on factors affecting the risk of preeclampsia have not separated preterm from term preeclampsia, and we still know little about whether the predisposing conditions have a differentiated effect on the risk of preterm and term preeclampsia. Our aim was to assess whether diabetes type 1 and 2, chronic kidney disease, asthma, epilepsy, rheumatoid arthritis and chronic hypertension were differentially associated with preterm and term preeclampsia. MATERIAL AND METHODS: This is a nationwide, population‐based cohort study containing all births registered in the Medical Birth Registry of Norway from 1999 to 2016. Multinomial logistic regression analysis was used to estimate relative risk ratios (RRRs) with 95% confidence intervals (95% CIs), adjusting for maternal age, parity, multiple gestation and all other studied maternal risk factors. RESULTS: We registered 1 044 860 deliveries, of which 9533 (0.9%) women had preterm preeclampsia (<37 weeks) and 26 504 (2.5%) women had term preeclampsia (>37 weeks). Most of the assessed maternal risk factors were associated with increased risk for both preterm and term preeclampsia, with adjusted RRRs ranging from 1.2 to 10.5 (preterm vs no preeclampsia) and 0.9–5.7 (term vs no preeclampsia). Diabetes type 1 and 2 (RRR preterm vs term preeclampsia 2.89, 95% CI 2.46–3.39 and RRR 1.68, 95% CI 1.25–2.25, respectively), chronic kidney disease (RRR 1.55, 95% CI 1.11–2.17) and chronic hypertension (RRR 1.85, 95% CI 1.63–2.10) were more strongly associated with preterm than term preeclampsia in adjusted analyses. For asthma, epilepsy and rheumatoid arthritis, RRRs were closer to one and not significant when comparing risk of preterm and term preeclampsia. Main results were similar when using a diagnosis at <34 weeks to define preterm preeclampsia. CONCLUSIONS: Diabetes type 1 and 2, chronic kidney disease and chronic hypertension were more strongly associated with preterm than term preeclampsia. John Wiley and Sons Inc. 2023-07-25 /pmc/articles/PMC10577625/ /pubmed/37491773 http://dx.doi.org/10.1111/aogs.14642 Text en © 2023 The Authors. Acta Obstetricia et Gynecologica Scandinavica published by John Wiley & Sons Ltd on behalf of Nordic Federation of Societies of Obstetrics and Gynecology (NFOG). https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Pregnancy Sande, Anne Kvie Dalen, Ingvild Torkildsen, Erik Andreas Sande, Ragnar Kvie Morken, Nils‐Halvdan Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study |
title | Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study |
title_full | Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study |
title_fullStr | Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study |
title_full_unstemmed | Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study |
title_short | Pregestational maternal risk factors for preterm and term preeclampsia: A population‐based cohort study |
title_sort | pregestational maternal risk factors for preterm and term preeclampsia: a population‐based cohort study |
topic | Pregnancy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577625/ https://www.ncbi.nlm.nih.gov/pubmed/37491773 http://dx.doi.org/10.1111/aogs.14642 |
work_keys_str_mv | AT sandeannekvie pregestationalmaternalriskfactorsforpretermandtermpreeclampsiaapopulationbasedcohortstudy AT daleningvild pregestationalmaternalriskfactorsforpretermandtermpreeclampsiaapopulationbasedcohortstudy AT torkildsenerikandreas pregestationalmaternalriskfactorsforpretermandtermpreeclampsiaapopulationbasedcohortstudy AT sanderagnarkvie pregestationalmaternalriskfactorsforpretermandtermpreeclampsiaapopulationbasedcohortstudy AT morkennilshalvdan pregestationalmaternalriskfactorsforpretermandtermpreeclampsiaapopulationbasedcohortstudy |