Evidence map›Paper›PMID 42374319›Full record

ArticleBMC pregnancy and childbirth2026

Predictors of maternal and perinatal mortality among pregnant women with preeclampsia and eclampsia at Garissa County Referral Hospital: a retrospective cohort study.

Asha Abdi Nur, Amsalu Degu

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Article in BMC pregnancy and childbirth, 2026. 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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2 authors.

Asha Abdi NurDepartment of Pharmaceutics and Pharmacy Practice, School of Pharmacy and Health Sciences, United States International University-Africa, Nairobi, Kenya.
Amsalu DeguDepartment of Pharmaceutics and Pharmacy Practice, School of Pharmacy and Health Sciences, United States International University-Africa, Nairobi, Kenya. amsaludegu@yahoo.com.ORCID http://orcid.org/0000-0002-6562-0548

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6 · The paper itself

Abstract

backgroundPreeclampsia and eclampsia are severe complications of pregnancy that significantly contribute to maternal and fetal mortality. A comprehensive understanding of the predictors of these conditions is essential for developing effective interventions. Despite preeclampsia and eclampsia being among the leading contributors to maternal and fetal mortality in resource-limited areas in Kenya, especially the arid and semi-arid regions such as Garissa, limited studies have specifically examined the predictors of maternal and perinatal mortality among women with preeclampsia and eclampsia. Therefore, this study aimed to investigate the predictors of perinatal and maternal mortality among pregnant women with preeclampsia and eclampsia at Garissa County Referral Hospital.

methodsA retrospective cohort study was used to evaluate the records of 138 eligible pregnant women diagnosed with preeclampsia and eclampsia from 1st January 2019 to 31st December 2023. The study aimed to determine the predictors of maternal and perinatal mortality among pregnant women diagnosed with preeclampsia and eclampsia. A data abstraction tool capturing sociodemographic, clinical, treatment modalities, and outcome variables was used to collect data. Descriptive analysis was used to present mortality rates and management modalities, while binary logistic regression was used to determine the predictors of mortality among preeclampsia and eclampsia patients.

resultsThe mean age of the participants in this study was 26.86 ± 7.6 years. There were higher cases of preeclampsia (63.0%) than eclampsia (37.0%) observed. Maternal mortality was 13.0%, while the perinatal mortality was 42.7%. The findings indicated that 34.1% of patients had a postpartum haemorrhage and 14.5% had a placental abruption. Neonatal complications were observed in 26.0% of the fetuses, with respiratory distress being the most prevalent (20.0%). Diabetes mellitus (AOR = 8.9, 95% CI = 2.1-41.4, p = 0.003) and multigravida status (AOR 3.6, 95% CI = 1.6-8.5, p = 0.002) were the significant predictors of maternal and perinatal mortality, respectively.

conclusionThe maternal and perinatal mortality among mothers with preeclampsia and eclampsia was comparable to the rates reported in similar settings. The significant predictors of maternal and perinatal mortalities were diabetes and multigravida status, respectively, highlighting the need for timely antenatal care and close monitoring for multigravida women and those with pre-existing conditions like diabetes.

Indexed as

EclampsiaMaternal MortalityPerinatal MortalityPre-EclampsiaAdultFemaleHospitals, CountyHumansInfant, NewbornKenyaPregnancyRetrospective StudiesRisk FactorsYoung AdultGarissa County Referral HospitalMaternal and perinatal mortalityPredictorsPreeclampsia Eclampsia

Identifiers

PMID42374319
PMCPMC13576329

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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.