Evidence map›Paper›PMID 41408200›Full record

ArticleBMC pregnancy and childbirth2025

Prevalence and risk factors associated with severe features of pre-eclampsia among women in Thailand.

Nathida Wiriyachoke, Paweena Phaliwong, Sinart Prommas, Buppa Smanchat, Kornkarn Bhamarapravatana, Komsun Suwannarurk

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nathida WiriyachokeDepartment of Obstetrics and Gynecology, Bhumibol Adulyadej Hospital, Royal Thai Air Force, Bangkok, 10220, Thailand.
Paweena PhaliwongDepartment of Obstetrics and Gynecology, Bhumibol Adulyadej Hospital, Royal Thai Air Force, Bangkok, 10220, Thailand. p_phaliwong@yahoo.com.
Sinart PrommasDepartment of Obstetrics and Gynecology, Bhumibol Adulyadej Hospital, Royal Thai Air Force, Bangkok, 10220, Thailand.
Buppa SmanchatDepartment of Obstetrics and Gynecology, Bhumibol Adulyadej Hospital, Royal Thai Air Force, Bangkok, 10220, Thailand.
Kornkarn BhamarapravatanaDepartment of Preclinical Science, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Komsun SuwannarurkDepartment of Obstetrics and Gynecology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study is to investigate the prevalence of and identify risk factors associated with pre-eclampsia with severe features (sPE) and model such data to generate a predictive risk score. MATERIAL AND

methodThis retrospective case-control study was conducted at Bhumibol Adulyadej Hospital (BAH), between January 2017 and December 2024. Participants were pregnant women who delivered at BAH. Subjects who were diagnosed with sPE and normal were classified as the study and control groups. Data was collected from medical records.

resultThere were 30,620 deliveries during the study period. A total of 546 sPE cases were recruited. There were 500 participants in each group. The significant risk factors associated with sPE were BMI ≥ 25 kg/m2 (aOR: 2.05, 95%CI: 1.43-2.93), age ≥35 years (aOR: 2.33, 95%CI: 1.55 - 3.47), illicit drug use (aOR: 6.47, 95%CI: 2.29 - 18.33), chronic hypertension (CHT, aOR: 10.24 , 95%CI: 4.71, 22.26), diabetes mellitus (DM, aOR: 8.58, 95% CI: 2.46 - 29.93), familial history of hypertension (FHT, aOR: 1.62, 95% CI: 1.1- 2.37) and previous history of preeclampsia (PEPP, aOR: 13.42, 95% CI: 2.95 - 61.04).The cut-off was established at a score of ≥ 4, which provided sensitivity, specificity, positive and negative predictive value, and accuracy at 54.2, 87.0, 80.7, 65.5 and 70.6 percent respectively.

conclusionThe prevalence of sPE was 17.8 per 1,000 deliveries. PEPP, CHT, DM, illicit drug use, advanced age (≥35 years), BMI ≥25 and FHT were associated with higher risk of sPE development at aOR of 13.42, 10.24, 8.58, 6.47, 2.3, 2.05 and 1.62, respectively.

Indexed as

Pre-EclampsiaPrenatal DiagnosisSeverity of Illness IndexAdultAge FactorsBody Mass IndexCase-Control StudiesFemaleHumansHypertensionPredictive Value of TestsPregnancyPrevalenceReference ValuesRetrospective StudiesRisk Factorspreeclampsia with severe features, predictive model, risk factors, preeclampsia

Identifiers

PMID41408200
PMCPMC12709856

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.