Evidence map›Paper›PMID 41709274›Full record

Observational studyBMC medicine2026

Pregnancy outcomes among medically complex populations with high risk of pregnancy mortality in Virginia: a retrospective observational study.

Michael J Green, Lauren G Anderson, Jerome J Federspiel, Beverly A Gray, Laura Kmitch, Joacy G Mathias, Evan R Myers, Geeta K Swamy, Lindsey Yates, Jonas J Swartz

Abstract readObservational Study
In one paragraph

Observational study in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Michael J GreenDivision of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA.
Lauren G AndersonDivision of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA.
Jerome J FederspielDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, USA.
Beverly A GrayDivision of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA.
Laura KmitchDepartment of Population Health Sciences, Duke University School of Medicine, Durham, USA.
Joacy G MathiasCecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Evan R MyersDivision of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA.
Geeta K SwamyDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, USA.
Lindsey YatesDepartment of Maternal Child Health, UNC Gillings School of Global Public Health, Chapel Hill, USA.
Jonas J SwartzDivision of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA. jonas.swartz@duke.edu.

Funding

Duke Women's Reproductive Health Research ScholarsK12HD103083 · NICHD · DUKE UNIVERSITY · PI Cindy Amundsen · 2020 to 2026
$2.2M
Eunice Kennedy Shriver National Institute of Child Health and Human Development NIH 5K12HD103083-04NICHD NIH HHS K12 HD103083
6 · The paper itself

Abstract

backgroundAbortion may be medically indicated to avert death or permanent harm of the pregnant person. However, some US states now prevent access to abortion for these patients. To evaluate the population for whom this may cause harm, we aimed to estimate the prevalence of severe chronic conditions and pregnancy complications for which induced abortion is indicated, the odds of pregnancy for patients with severe chronic conditions, and compare pregnancy outcomes including induced abortion for pregnancies where such indications are present with pregnancies where they are not.

methodsIn a retrospective observational study using the Virginia All-Payer Claims Database (2018-2019), we identified 1,502,965 female patients aged 14-55 with ≥ 6 months insurance coverage. Medical codes identified severe chronic conditions and pregnancy complications. Pregnancy outcomes were classified using an established algorithm.

resultsAmong reproductive-aged people, 2.9% had severe chronic conditions that could threaten life with pregnancy. Among 101,582 people who experienced pregnancy, 5.6% had life-threatening complications before their third trimester. Severe chronic conditions were associated with reduced risk of pregnancy (OR: 0.44 [95% CI: 0.41-0.46]), but sickle cell disease patients had increased odds of pregnancy (OR: 2.42 [95% CI: 2.10-2.78]). Compared to pregnancies with neither early complications or severe conditions present, pregnancies involving severe chronic conditions had fewer live births (68.2% vs. 75.3%), more spontaneous abortions (16.9% vs. 12.2%), and more induced abortions (3.7% vs. 2.2%), while pregnancies with early complications also had fewer live births (61.7%) and more spontaneous abortions (25.2%; p < 0.01 for all comparisons). Abortion ratios (induced abortions per 1000 live births) in these data were 5-6 times lower than in Center for Disease Control abortion surveillance data for Virginia 2018-2019, indicating under-ascertainment of induced abortion.

conclusionsIn a state with some abortion restrictions and some protections, thousands of patients experience severe chronic conditions or pregnancy complications for which induced abortion is indicated.

Indexed as

Abortion, InducedPregnancy ComplicationsPregnancy OutcomeAdolescentAdultChronic DiseaseFemaleHumansMiddle AgedPregnancyRetrospective StudiesVirginiaYoung AdultAbortionAll-payer claimsChronic diseaseHigh-riskPregnancy

Identifiers

PMID41709274
PMCPMC13020081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.