CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
i
Leveraging Electronic Health Records to Construct a Phenotype for Hypertension Surveillance in the United States
-
11 15 2023
-
-
Source: Am J Hypertens. 36(12):677-685
[PDF-774.80 KB]
Details:
-
Alternative Title:Am J Hypertens
-
Personal Author:
-
Description:BACKGROUND
Hypertension 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.
METHODS
We 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.
RESULTS
The 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%).
CONCLUSIONS
Using 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.
-
Keywords:
-
Source:
-
Pubmed ID:37696605
-
Pubmed Central ID:PMC10898654
-
Document Type:
-
Funding:
-
Volume:36
-
Issue:12
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
