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Title

Burden, risk factors and maternal outcomes of pre-eclampsia: A clinical study in India

 

Authors

Simran Jain1, Neha Tyagi2 & Niharika Prasad3,*
 

Affiliation

1Department of Obstetrics and Gynaecology, LNCT Medical College and Sewakunj Hospital, Indore, Madhya Pradesh, India; 2Department of Obstetrics and Gynaecology, Government Medical College, Sheopur, Madhya Pradesh, India; 3Department of Obstetrics and Gynaecology, Gajra Raja Medical College, Gwalior, Madhya Pradesh, India; *Corresponding author

 

Email

Simran Jain - E-mail: simranjain2811@gmail.com
Neha Tyagi - E-mail: nehatyagijnv@gmail.com
Niharika Prasad - E-mail: niharika.prasad98@yahoo.in

 

Article Type

Research Article

 

Date

Received September 1, 2026; Revised September 30, 2026; Accepted September 30, 2026, Published September 30, 2026

 

Abstract

Pre-eclampsia is a multisystem hypertensive disorder of pregnancy and remains a major cause of maternal morbidity and mortality, particularly in low- and middle-income countries. Hence, this observational hospital-based study included 150 antenatal women diagnosed with pre-eclampsia after 20 weeks of gestation and evaluated the burden of disease, maternal risk factors and maternal outcomes. Demographic, obstetric and clinical information was collected using a structured proforma, with risk factors including age, parity, obesity, chronic hypertension, diabetes mellitus, family history of hypertension and multiple pregnancies. Maternal outcomes assessed included severe hypertension, eclampsia, HELLP syndrome, placental abruption, acute kidney injury, postpartum haemorrhage, intensive care admission and maternal death. Thus, data shows the epidemiological burden of pre-eclampsia and identify maternal risk factors and adverse outcomes to support earlier detection and prompt management of high-risk pregnancies.

 

Keywords

Pre-eclampsia, hypertensive disorders of pregnancy, risk factors, maternal outcomes, pregnancy complications, eclampsia, HELLP syndrome

 

Citation

Jain et al. Bioinformation 22(9): 5679-5683 (2026)

 

Edited by

Vini Mehta

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.