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

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Abstract

Background

Whether 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.

Methods

An 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.

Results

Compared 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).

Conclusions

In 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.

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Acknowledgments

This study would not have been possible without the voluntary collaboration of the participants and the excellent technical assistance of Mthuthuzeli Kiviet, Nomonde Molebatsi, and Nkele Maseko. This study was supported by the Medical Research Council of South Africa, the University Research Council of the University of the Witwatersrand, the National Research Foundation (Women in Research and the Thuthuka Program), the Circulatory Disorders Research Trust, and the Carnegie Programme.

Conflict of interest

None of the authors have any conflicts of interests to declare.

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Authors and Affiliations

  1. Cardiovascular 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

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

  2. Faculty of Health Sciences, School of Medicine, University of the Witwatersrand, Johannesburg, South Africa

    Carlos D. Libhaber

Authors
  1. Fabian Maunganidze
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  2. Angela J. Woodiwiss
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  3. Carlos D. Libhaber
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  4. Muzi J. Maseko
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  5. Olebogeng H. I. Majane
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  6. Gavin R. Norton
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Corresponding authors

Correspondence to Angela J. Woodiwiss or Gavin R. Norton.

Additional information

F. Maunganidze, A.J. Woodiwiss and G.R. Norton contributed equally to this work.

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Maunganidze, F., Woodiwiss, A.J., Libhaber, C.D. et al. Left ventricular hypertrophy detection from simple clinical measures combined with electrocardiographic criteria in a group of African ancestry. Clin Res Cardiol 103, 921–929 (2014). https://doi.org/10.1007/s00392-014-0730-2

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  • DOI: https://doi.org/10.1007/s00392-014-0730-2

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