Open AccessBody mass index prediction rule for mid-upper arm circumference: the atherosclerosis risk in communities study
Author(s) -
Carin Northuis,
Thomas A. Murray,
Pamela L. Lutsey,
Kenneth R. Butler,
Steve Nguyen,
Priya Palta,
Kamakshi Lakshminarayan
Publication year - 2021
Publication title -
blood pressure monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 61
eISSN - 1473-5725
pISSN - 1359-5237
DOI - 10.1097/mbp.0000000000000567
Subject(s) - medicine , circumference , body mass index , waist , receiver operating characteristic , cardiology , physical therapy , geometry , mathematics
Electronic health records (EHR) are a convenient data source for clinical trial recruitment and allow for inexpensive participant screening. However, EHR may lack pertinent screening variables. One strategy is to identify surrogate EHR variables which can predict the screening variable of interest. In this article, we use BMI to develop a prediction rule for arm circumference using data from the Atherosclerosis Risk in Communities (ARIC) Study. This work applies to EHR patient screening for clinical trials of hypertension.