Evidence map›Paper›PMID 37540580›Full record

ArticleMilitary medicine2024

Rates of Preeclampsia and Post-preeclamptic Cardiovascular Disease Among US Military Servicewomen: A Retrospective Case-cohort Study.

Thornton S Mu, Amelia Duran-Stanton, Emily A Stone, Lee Ann Zarzabal, Andrea Loewendorf

Open access · hybridAbstract read
In one paragraph

Article in Military medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

5 authors at 4 institutions in 1 country.

Thornton S MuBrooke Army Medical Center, JBSA Ft. Sam Houston, TX 78219, USA.
Amelia Duran-StantonArmy Medical Center of Excellence, JBSA-Fort Sam Houston, TX 78234, USA.
Emily A StoneDefense Health Agency, San Antonio, TX 78205, USA.
Lee Ann ZarzabalDefense Health Agency, San Antonio, TX 78205, USA.
Andrea LoewendorfImmunoVation, Stanton, CA 90680, USA.ORCID 0000-0001-7150-3316
Defense Health Agency · USBrooke Army Medical Center · USEduInnovation · USUnited States Army Medical Command · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPreeclampsia (PE), a hypertensive-inflammatory disorder of pregnancy, poses acute risks of seizures, stroke, and heart attack during pregnancy and up to 6 weeks post-delivery. Recent data suggest that residual increased risks for cardiovascular disease (CVD) linger for much longer, possibly decades, after PE pregnancies. In civilian studies, PE and the major vascular events resulting from it disproportionately affect women from minority groups, especially African American women. The Military Health System (MHS) provides equal access to care for all active-duty servicewomen (ADSW), thus theoretically mitigating disparities. Racial/ethnic breakdown for PE and post PE CVD has not been studied in the MHS. MATERIALS AND

methodsWe identified healthy pregnancies in the MHS electronic health records of ADSW in the years 2009/2010 and those with a PE diagnosis. Patients with preexisting conditions of PE or CVD based on a look-back period of two calendar years were excluded. Cases were matched to controls based on age at pregnancy within 5 years and race/ethnicity. Cohort was assessed for diagnosed CVDs, race, age, and service during 2011-2017. Time to first CVD event was assessed with Cox proportional hazards model, results reported as relative risks (95% CI). All variables were summarized using mean (SD) for normally distributed continuous variables; non-normal continuous variables were characterized by median [IQR] and categorical variables were summarized by counts and frequencies. All statistical testings were two-sided with a significance level of 5% and were completed using SAS-EG version 9.2 or R version 3.5.2.

resultsFrom an analysis of 106,808 inpatient ADSW records, PE incidence by race is 11.8% for White, 12% for African American, 11.4% for Asian/Pacific Islander, 11.2% for Native American, 9.5% for Other, and 7.6% for unknown (not documented) race. Thus, in the US Military, African American women have comparable (0.2% higher) PE rate than White women in contrast with civilian studies that often report much higher incidence in the African American population. Using Asians as referent group, PE increases the risk of CVD. White women have a hazard ratio (HR) of 1.47 95%CI (1.15-1.88), African Americans a HR of 1.51 95% CI (1.18-1.93), and Other a HR of 1.39 95% CI (1.01-1.91).

conclusionIn this study, we report overall higher incidence of PE in military women than what is published for civilian women in all races and across all services. Importantly, we do not find significantly higher numbers of PE and post-PE CVD for African American, compared to White women in the military. Our study is not designed to address differences between military and civilian PE epidemiology, but these results deserve further exploration. This study shines light on a health risk unique to women, which we found to be more prevalent in the US Military than published civilian population. Further study to determine the details of long-term morbidity, disability, and death attributable to PE (CVD, stroke, and kidney diseases) are needed to design optimal medical management protocols, ensure readiness for duty, and protect our Women Warfighters.

Indexed as

Cardiovascular DiseasesMilitary PersonnelPre-EclampsiaAdultCase-Control StudiesCohort StudiesFemaleHumansPregnancyRetrospective StudiesRisk FactorsUnited States

Identifiers

PMID37540580
PMCPMC11110618
OpenAlexW4385576843

What OpenQuestion holds

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LicenceCC BY
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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.