Evidence map›Paper›PMID 42533022›Full record

Articlenpj health systems2026

Estimating the incidence and risk factors of postpartum hemorrhage from the national ENACT network.

Malarkodi J Samayamuthu, Olga Kravchenko, Wei-Hsuan Lo-Ciganic, Eugene M Sadhu, Seonkyeong Yang, Vanathi Gopalakrishnan, Shyam Visweswaran

Abstract read
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Article in npj health systems, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Malarkodi J Samayamuthu *Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Olga Kravchenko *Department of Family Medicine, University of Pittsburgh, Pittsburgh, PA, USA. kravchen@pitt.edu.
Wei-Hsuan Lo-CiganicDivision of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Eugene M SadhuDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Seonkyeong YangDivision of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Vanathi GopalakrishnanDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Shyam VisweswaranDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
ENACT: Translating Health Informatics Tools to Research and Clinical Decision MakingU24TR004111 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEVEN E REIS, SHYAM VISWESWARAN · 2022 to 2026
$23.3M
NCATS NIH HHS U24 TR004111NCATS NIH HHS UL1 TR001857
6 · The paper itself

Abstract

Aggregated counts from electronic health records (EHRs) provide a rich source of real-world data for investigating critical medical conditions such as postpartum hemorrhage (PPH). We used the Evolve to Next-Gen Accrual to Clinical Trials (ENACT) network, a large, federated network of EHRs, to characterize national trends, risk factors, and comorbidities associated with PPH in a cohort of 705,120 women hospitalized for delivery from 2005 to 2022. During this period, there was a statistically significant increase in the incidence of PPH, consistent with previous studies. Asian women had the highest incidence of PPH (10.33%), followed by Black or African American (8.33%) and American Indian or Alaska Native (8.05%) women. In PPH deliveries, the top-ranked risk factor was severe eclampsia (18.51%), the top-ranked comorbidity was operative vaginal delivery (16.98%), and the commonest cause was uterine atony (83.06%). We demonstrated that a large federated EHR network such as ENACT can be used to generate population-level epidemiological findings, albeit with some limitations.

Identifiers

PMID42533022
PMCPMC13424135

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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.