Evidence map›Paper›PMID 29950471›Full record

ArticleBMJ open2018

Characteristics and treatment of African-American and European-American patients with resistant hypertension identified using the electronic health record in an academic health centre: a case-control study.

Megan M Shuey, Jocelyn S Gandelman, Cecilia P Chung, Hui Nian, Chang Yu, Joshua C Denny, Nancy J Brown

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  7. Review
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  9. The Burden of Resistant Hypertension Across the World.Current hypertension reports · 2022
    Review
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  11. Article
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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

7 authors at 1 institution in 1 country.

Megan M ShueyDepartment of Pharmacology, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Jocelyn S GandelmanDepartment of Medicine, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Cecilia P ChungDepartment of Medicine, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Hui NianDepartment of Biostatistics, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Chang YuDepartment of Biostatistics, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Nancy J BrownDepartment of Pharmacology, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Vanderbilt University Medical Center · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
TRANSPORT EFFECTS OF ARACHIDONATE METABOLITES IN PERFUSED TUBULEP01DK038226 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BROWN, NANCY J. · 1986 to 2015
$22.1M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
Cardiovascular Consequences of Peptidase InhibitionR01HL125426 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BROWN, NANCY J. · 2015 to 2019
$2.3M
Automated Storage and Retrieval of Biological SystemsS10RR025141 · NCRR · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2008 to 2008
$988k
Drug-Drug Interactions and Preventable Adverse Events in RheumatologyK23AR064768 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHUNG, CECILIA PILAR · 2013 to 2016
$531k
Association of CYP4A11 Variants with Resistant HypertensionF31DK108444 · NIDDK · VANDERBILT UNIVERSITY · PI SHUEY, MEGAN MARIE · 2016 to 2017
$57k
NCATS NIH HHS UL1 TR000445NCRR NIH HHS S10 RR025141NHGRI NIH HHS U01 HG008672NHLBI NIH HHS R01 HL125426NIAMS NIH HHS K23 AR064768NIDDK NIH HHS F31 DK108444NIDDK NIH HHS P01 DK038226
6 · The paper itself

Abstract

objectiveTo identify patients with hypertension with resistant and controlled blood pressure (BP) using electronic health records (EHRs) in order to elucidate practices in the real-world clinical treatment of hypertension and to enable future genetic studies.

designUsing EHRs, we developed and validated algorithms to identify patients with resistant and controlled hypertension.

settingAn academic medical centre in Nashville, Tennessee. POPULATION: European-American (EA) and African-American (AA) patients with hypertension.

main outcome measuresDemographic characteristics: race, age, gender, body mass index, outpatient BPs and the history of diabetes mellitus, chronic kidney disease stage 3, ischaemic heart disease, transient ischaemic attack, atrial fibrillation and sleep apnoea. MEDICATION TREATMENT: All antihypertensive medication classes prescribed to a patient at the time of classification and ever prescribed following classification.

resultsThe algorithms had performance metrics exceeding 92%. The prevalence of resistant hypertension in the total hypertensive population was 7.3% in EA and 10.5% in AA. At diagnosis, AA were younger, heavier, more often female and had a higher incidence of type 2 diabetes and higher BPs than EA. AA with resistant hypertension were more likely to be treated with vasodilators, dihydropyridine calcium channel blockers and alpha-2 agonists while EA were more likely to be treated with angiotensin receptor blockers, renin inhibitors and beta blockers. Mineralocorticoid receptor antagonists use was increased in patients treated with more than four antihypertensive medications compared with patients treated with three (12.4% vs 2.6% in EA, p<0.001; 12.3% vs 2.8% in AA, p<0.001). The number of patients treated with a mineralocorticoid receptor antagonist increased to 37.4% in EA and 41.2% in AA over a mean follow-up period of 7.4 and 8.7 years, respectively.

conclusionsClinical treatment of resistant hypertension differs in EA and AA patients. These results demonstrate the feasibility of identifying resistant hypertension using an EHR.

Indexed as

Electronic Health RecordsAdrenergic beta-AntagonistsAdultAgedAngiotensin Receptor AntagonistsAntihypertensive AgentsBlack or African AmericanBlood PressureCalcium Channel BlockersCase-Control StudiesDiabetes Mellitus, Type 2FemaleHumansHypertensionLogistic ModelsMaleAdrenergic beta-AntagonistsAngiotensin Receptor AntagonistsAntihypertensive AgentsCalcium Channel Blockersantihypertensive medicationselectronic health recordprescribing trendsraceresistant hypertension

Identifiers

PMID29950471
PMCPMC6020960
OpenAlexW2810025163

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.