ArticleAmerican journal of hypertension2023
Leveraging Electronic Health Records to Construct a Phenotype for Hypertension Surveillance in the United States.
Article in American journal of hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Cardiovascular-Kidney-Metabolic Syndrome: Development of anJMIR diabetes · 2026Article
- Hypertension Prevalence, Diagnosis, and Management for Post-9/11 US Veterans.Journal of the American Heart Association · 2026Article
- A Blueprint for Building a Renal Denervation Program.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Review
- Hypertension and Polycystic Ovary Syndrome Among Women in a Nationwide Electronic Health Records Dataset in the United States.Maternal and child health journal · 2025Article
- Nonlinear association of a composite metabolic index (ZJU index) with hypertension: a cross-sectional study of NHANES 2003-2018.Frontiers in cardiovascular medicine · 2025Article
- County-Level Hypertension Prevalence and Control in the United States: A ZIP3-County Crosswalk Using Electronic Health Record Data.Preventing chronic disease · 2024Article
- US public health surveillance, reimagined.Learning health systems · 2024Article
- Hypertension in Pregnancy: Current Challenges and Future Opportunities for Surveillance and Research.Journal of women's health (2002) · 2024Article
- Rurality, Cardiovascular Risk Factors, and Early Cardiovascular Disease among Childhood, Adolescent, and Young Adult Cancer Survivors.Research square · 2024Article
- Hypertension Prevalence and Control Among U.S. Women of Reproductive Age.American journal of preventive medicine · 2024Article
- State-Level Hypertension Prevalence and Control Among Adults in the U.S.American journal of preventive medicine · 2024Article
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Authors and funding
11 authors.
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Abstract
backgroundHypertension is an important risk factor for cardiovascular diseases. Electronic health records (EHRs) may augment chronic disease surveillance. We aimed to develop an electronic phenotype (e-phenotype) for hypertension surveillance.
methodsWe included 11,031,368 eligible adults from the 2019 IQVIA Ambulatory Electronic Medical Records-US (AEMR-US) dataset. We identified hypertension using three criteria, alone or in combination: diagnosis codes, blood pressure (BP) measurements, and antihypertensive medications. We compared AEMR-US estimates of hypertension prevalence and control against those from the National Health and Nutrition Examination Survey (NHANES) 2017-18, which defined hypertension as BP ≥130/80 mm Hg or ≥1 antihypertensive medication.
resultsThe study population had a mean (SD) age of 52.3 (6.7) years, and 56.7% were women. The selected three-criteria e-phenotype (≥1 diagnosis code, ≥2 BP measurements of ≥130/80 mm Hg, or ≥1 antihypertensive medication) yielded similar trends in hypertension prevalence as NHANES: 42.2% (AEMR-US) vs. 44.9% (NHANES) overall, 39.0% vs. 38.7% among women, and 46.5% vs. 50.9% among men. The pattern of age-related increase in hypertension prevalence was similar between AEMR-US and NHANES. The prevalence of hypertension control in AEMR-US was 31.5% using the three-criteria e-phenotype, which was higher than NHANES (14.5%).
conclusionsUsing an EHR dataset of 11 million adults, we constructed a hypertension e-phenotype using three criteria, which can be used for surveillance of hypertension prevalence and control.
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