Analysis of Large Electronic Health Record Databases Supports Blood Pressure-Incident Diabetes Association

Donna K. Arnett

doi:10.1016/j.jacc.2015.07.058

Analysis of Large Electronic Health Record Databases Supports Blood Pressure-Incident Diabetes Association

Donna K. Arnett

College of Public Health

Research output: Contribution to journal › Editorial

1 Scopus citations

Original language	English
Pages (from-to)	1563-1565
Number of pages	3
Journal	Journal of the American College of Cardiology
Volume	66
Issue number	14
DOIs	https://doi.org/10.1016/j.jacc.2015.07.058
State	Published - Oct 6 2015

Bibliographical note

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

body mass index
inflammation
regression dilution ratio

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jacc.2015.07.058

Cite this

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title = "Analysis of Large Electronic Health Record Databases Supports Blood Pressure-Incident Diabetes Association",

keywords = "body mass index, inflammation, regression dilution ratio",

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KW - regression dilution ratio

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JO - Journal of the American College of Cardiology

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Analysis of Large Electronic Health Record Databases Supports Blood Pressure-Incident Diabetes Association

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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