Evidence map›Paper›PMID 42696076›Full record

ReviewCurrent hypertension reports2026

Indigenous Health Disparities in Hypertensive Disorders of Pregnancy Within the United States.

Thoai T Vu, Haley E Watts, Claudia Meyer, Irena Kuzma, Katelyn Baggett, Biak L Tial, Theresa Boyer, Phebe Ismail, Erin D Michos, Allison G Hays and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 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

11 authors.

Thoai T VuDepartment of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6212-045X
Haley E WattsDepartment of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0009-0001-0735-4181
Claudia MeyerSchool of Medicine, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0009-0003-8262-4641
Irena KuzmaDepartment of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0009-0008-5225-5052
Katelyn BaggettDepartment of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-8320-9288
Biak L TialDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0009-0002-4166-7605
Theresa BoyerDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-8071-9351
Phebe IsmailDivision of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-5195-5961
Erin D MichosDivision of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-5547-5084
Allison G HaysDivision of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-2138-1589
Anum S MinhasDivision of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA. aminhas2@jhmi.edu.ORCID http://orcid.org/0000-0001-6680-0404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review examines determinants across structural, institutional, interpersonal, and individual domains that contribute to hypertensive disorders of pregnancy (HDPs) in American Indian and Alaska Native (AI/AN) populations and their long-term cardiovascular consequences. It suggests paths forward for equitable research and clinical practice. RECENT

findingsAI/AN women have the highest HDP prevalence among all racial and ethnic groups at 9.1% and experience severe maternal morbidity at 1.6 times the rate of non-Hispanic white women. Pre-existing cardiometabolic disease, including obesity affecting 40% and metabolic syndrome affecting up to 55% of AI/AN adults, compounds pregnancy risk. Beyond individual factors, structural determinants, such as the legacy of colonization, racial misclassification, violations of tribal data sovereignty, and disrupted traditional birthing practices, have perpetuated systemic barriers and health inequities. Qualitative evidence documents pervasive discrimination, cultural dismissiveness, and provider bias during perinatal care. Despite the 2-fold increased long-term cardiovascular disease risk from HDPs, AI/AN women face persistent barriers to postpartum follow-up and cardiovascular screening. Effective evidence-based preventive strategies, including low-dose aspirin prophylaxis, blood pressure management, and telehealth-based postpartum monitoring, remain understudied in AI/AN populations. Addressing HDP disparities in AI/AN populations requires moving beyond individual risk factors to confront structural determinants. Meaningful progress requires community-based participatory research that centers tribal data sovereignty, incorporation of Indigenous scholars into research leadership, and policy-level changes. Ultimately, these efforts may expand culturally concordant perinatal care, reduce acute maternal morbidity, and reduce long-term HDP-related cardiovascular risk.

Indexed as

American Indian or Alaska NativeHealthcare DisparitiesHealth Status DisparitiesHypertension, Pregnancy-InducedFemaleHumansPregnancyRisk FactorsUnited StatesCardiovascular DiseaseHealth DisparitiesHypertensionIndigenous HealthPreeclampsiaPregnancySocial Determinants of Health

Identifiers

PMID42696076

What OpenQuestion holds

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Registered trials

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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.