Evidence map›Paper›PMID 37943228›Full record

ArticleJACC. Heart failure2023

Severe Maternal Morbidity According to Mode of Delivery Among Pregnant Patients With Cardiomyopathies.

Marie-Louise Meng, Jerome J Federspiel, Matthew Fuller, Ashley McNeil, Ashraf S Habib, Johanna Quist-Nelson, Matthew Engelhard, Svati H Shah, Vijay Krishnamoorthy

Open access · greenAbstract read
In one paragraph

Article in JACC. Heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Marie-Louise MengDepartment of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA. Electronic address: Marielouise.meng@duke.edu.
Jerome J FederspielDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, North Carolina, USA; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
Matthew FullerDepartment of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA; Critical Care and Perioperative Population Health Research (CAPER) Program, Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA.
Ashley McNeilDepartment of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA.
Ashraf S HabibDepartment of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA.
Johanna Quist-NelsonDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina, USA.
Matthew EngelhardDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
Svati H ShahDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA; Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Vijay KrishnamoorthyDepartment of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA; Critical Care and Perioperative Population Health Research (CAPER) Program, Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA.
Duke University · USUniversity of North Carolina at Chapel Hill · US

Funding

Duke Women's Reproductive Health Research ScholarsK12HD103083 · NICHD · DUKE UNIVERSITY · PI Cindy Amundsen · 2020 to 2026
$2.2M
Machine Learning Methods to Develop and Deploy Real-Time Risk Surveillance for Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder from the Electronic Health RecordK01MH127309 · NIMH · DUKE UNIVERSITY · PI Matthew Morrow Engelhard · 2022 to 2026
$842k
NICHD NIH HHS K12 HD103083NIMH NIH HHS K01 MH127309
6 · The paper itself

Abstract

backgroundWomen with cardiomyopathies are at risk for pregnancy complications. The optimal mode of delivery in these patients is guided by expert opinion and limited small studies.

objectivesThe objective of this study is to examine the association of delivery mode with severe maternal morbidity events during delivery hospitalization and readmissions among patients with cardiomyopathies.

methodsThe Premier inpatient administrative database was used to conduct a retrospective cohort study of pregnant patients with a diagnosis of a cardiomyopathy. Utilizing a target trial emulation strategy, the primary analysis compared outcomes among patients exposed to intended vaginal delivery vs intended cesarean delivery (intention to treat). A secondary analysis compared outcomes among patients who delivered vaginally vs by cesarean (as-treated). Outcomes examined were nontransfusion severe maternal morbidity during the delivery hospitalization, blood transfusion, and readmission.

resultsThe cohort consisted of 2,921 deliveries. In the primary analysis (intention to treat), there was no difference in nontransfusion morbidity (adjusted OR [aOR]: 1.17; 95% CI: 0.91-1.51), blood transfusion (aOR: 1.27; 95% CI: 0.81-1.98), or readmission (aOR: 1.03; 95% CI: 0.73-1.44) between intended vaginal delivery and intended cesarean delivery. In the as-treated analysis, cesarean delivery was associated with a 2-fold higher risk of nontransfusion morbidity (aOR: 2.44; 95% CI: 1.85-3.22) and blood transfusion (aOR: 2.26; 95% CI: 1.34-3.81) when compared with vaginal delivery.

conclusionsIn patients with cardiomyopathies, a trial of labor does not confer a higher risk of maternal morbidity, blood transfusion, or readmission compared with planned cesarean delivery.

Indexed as

CardiomyopathiesHeart FailureCesarean SectionDelivery, ObstetricFemaleHumansPregnancyRetrospective Studiescardiomyopathycardio-obstetricsheart failurepreeclampsiapregnancy

Identifiers

PMID37943228
PMCPMC10904174
OpenAlexW4388486935

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.