Evidence map›Paper›PMID 24996803›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2014

Left ventricular hypertrophy detection from simple clinical measures combined with electrocardiographic criteria in a group of African ancestry.

Fabian Maunganidze, Angela J Woodiwiss, Carlos D Libhaber, Muzi J Maseko, Olebogeng H I Majane, Gavin R Norton

Abstract readComparative Study
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In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fabian MaunganidzeCardiovascular Pathophysiology and Genomics Research Unit, Faculty of Health Sciences, School of Physiology, University of the Witwatersrand Medical School, 7 York Road Parktown, 2193, Johannesburg, South Africa.
Angela J Woodiwiss
Carlos D Libhaber
Muzi J Maseko
Olebogeng H I Majane
Gavin R Norton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether routine clinical parameters associated with left ventricular mass (LVM) enhance the performance of electrocardiographic (ECG) criteria for LV hypertrophy (LVH) detection and hence modify overall cardiovascular risk stratification is unknown.

methodsAn approach to echocardiographic LVH detection was identified from ECG criteria and clinical variables [age, body mass index (BMI), systolic blood pressure (SBP) and estimated glomerular filtration rate] associated with LVM in 621 participants of African ancestry. Performance (area under the receiver operating curve) and classification accuracy for LVH detection and the impact on cardiovascular risk stratification were determined.

resultsCompared to Cornell criteria alone, the combined use of Cornell criteria and clinical variables increased the performance (p < 0.001) and sensitivity (p < 0.05 to p < 0.0001) for LVH detection. The use of Cornell product together with additional clinical parameters as compared to Cornell product criteria alone increased the proportion of participants with pre-, grade I or grade II hypertension risk stratified as having a high added cardiovascular risk (56.3-67.9 %, p < 0.05).

conclusionsIn individuals of African ancestry, a combination of Cornell product criteria and age, BMI and SBP improves classification accuracy of Cornell criteria for LVH and increases those identified as having a high added as compared to lower cardiovascular risk scores.

Indexed as

Black PeopleAdultBlood Pressure DeterminationBody Mass IndexCohort StudiesDeveloping CountriesEchocardiography, DopplerElectrocardiographyFemaleGlomerular Filtration RateHumansHypertrophy, Left VentricularMaleMiddle AgedMultimodal ImagingMultivariate Analysis

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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.