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Distribution of Cardiovascular Risk Among Diabetic Patients in Kumasi

Received: 14 March 2023    Accepted: 6 April 2023    Published: 5 August 2023
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Abstract

Cardiovascular diseases (CVDs) are the leading cause of mortality globally. Cardiovascular risk scores are reliable tools used to predict an individual’s chance of developing a cardiovascular event. This study assesses the distribution of cardiovascular risk among diabetic patients attending a diabetic clinic in a district hospital in Kumasi. This is a hospital-based cross-sectional study among 94 diabetic patients attending a diabetic clinic in Kumasi, Ghana. Data collected includes sociodemographic information, anthropometry, medical history and lipid profile which were then used to compute the cardiovascular risk score using the pooled cohort equation (PCE) and WHO non-laboratory scoring tools. The average risk score was 13.5% [CI 95: 10.8 – 16.1] according to the PCE tool and 7.2% [CI 95: 6.2 – 8.1] according to the WHO non-laboratory risk scoring tool. The PCE categorised 52.1%, 25.5% and 22.3% as low, moderate and high risk respectively whiles the WHO non-lab categorised 78.7% and 21.3% as low and moderate risk respectively, with no one at high risk. Majority of our study participants were at low risk of developing a cardiovascular event in 10-years according to both tools. There was significant difference between the pooled cohort equation and WHO non-lab risk scoring calculators.

Published in Cardiology and Cardiovascular Research (Volume 7, Issue 3)
DOI 10.11648/j.ccr.20230703.11
Page(s) 50-56
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cardiovascular Risk, Pooled Cohort Equation, WHO Non-Laboratory, Diabetic Patients, Kumasi

References
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Cite This Article
  • APA Style

    Shiako Joshua Tei, Dassah Ebenezer, Adu-Gyamfi Adwoa Agyemang, Brenyah Joseph Kwasi. (2023). Distribution of Cardiovascular Risk Among Diabetic Patients in Kumasi. Cardiology and Cardiovascular Research, 7(3), 50-56. https://doi.org/10.11648/j.ccr.20230703.11

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    ACS Style

    Shiako Joshua Tei; Dassah Ebenezer; Adu-Gyamfi Adwoa Agyemang; Brenyah Joseph Kwasi. Distribution of Cardiovascular Risk Among Diabetic Patients in Kumasi. Cardiol. Cardiovasc. Res. 2023, 7(3), 50-56. doi: 10.11648/j.ccr.20230703.11

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    AMA Style

    Shiako Joshua Tei, Dassah Ebenezer, Adu-Gyamfi Adwoa Agyemang, Brenyah Joseph Kwasi. Distribution of Cardiovascular Risk Among Diabetic Patients in Kumasi. Cardiol Cardiovasc Res. 2023;7(3):50-56. doi: 10.11648/j.ccr.20230703.11

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  • @article{10.11648/j.ccr.20230703.11,
      author = {Shiako Joshua Tei and Dassah Ebenezer and Adu-Gyamfi Adwoa Agyemang and Brenyah Joseph Kwasi},
      title = {Distribution of Cardiovascular Risk Among Diabetic Patients in Kumasi},
      journal = {Cardiology and Cardiovascular Research},
      volume = {7},
      number = {3},
      pages = {50-56},
      doi = {10.11648/j.ccr.20230703.11},
      url = {https://doi.org/10.11648/j.ccr.20230703.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ccr.20230703.11},
      abstract = {Cardiovascular diseases (CVDs) are the leading cause of mortality globally. Cardiovascular risk scores are reliable tools used to predict an individual’s chance of developing a cardiovascular event. This study assesses the distribution of cardiovascular risk among diabetic patients attending a diabetic clinic in a district hospital in Kumasi. This is a hospital-based cross-sectional study among 94 diabetic patients attending a diabetic clinic in Kumasi, Ghana. Data collected includes sociodemographic information, anthropometry, medical history and lipid profile which were then used to compute the cardiovascular risk score using the pooled cohort equation (PCE) and WHO non-laboratory scoring tools. The average risk score was 13.5% [CI 95: 10.8 – 16.1] according to the PCE tool and 7.2% [CI 95: 6.2 – 8.1] according to the WHO non-laboratory risk scoring tool. The PCE categorised 52.1%, 25.5% and 22.3% as low, moderate and high risk respectively whiles the WHO non-lab categorised 78.7% and 21.3% as low and moderate risk respectively, with no one at high risk. Majority of our study participants were at low risk of developing a cardiovascular event in 10-years according to both tools. There was significant difference between the pooled cohort equation and WHO non-lab risk scoring calculators.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Distribution of Cardiovascular Risk Among Diabetic Patients in Kumasi
    AU  - Shiako Joshua Tei
    AU  - Dassah Ebenezer
    AU  - Adu-Gyamfi Adwoa Agyemang
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    AB  - Cardiovascular diseases (CVDs) are the leading cause of mortality globally. Cardiovascular risk scores are reliable tools used to predict an individual’s chance of developing a cardiovascular event. This study assesses the distribution of cardiovascular risk among diabetic patients attending a diabetic clinic in a district hospital in Kumasi. This is a hospital-based cross-sectional study among 94 diabetic patients attending a diabetic clinic in Kumasi, Ghana. Data collected includes sociodemographic information, anthropometry, medical history and lipid profile which were then used to compute the cardiovascular risk score using the pooled cohort equation (PCE) and WHO non-laboratory scoring tools. The average risk score was 13.5% [CI 95: 10.8 – 16.1] according to the PCE tool and 7.2% [CI 95: 6.2 – 8.1] according to the WHO non-laboratory risk scoring tool. The PCE categorised 52.1%, 25.5% and 22.3% as low, moderate and high risk respectively whiles the WHO non-lab categorised 78.7% and 21.3% as low and moderate risk respectively, with no one at high risk. Majority of our study participants were at low risk of developing a cardiovascular event in 10-years according to both tools. There was significant difference between the pooled cohort equation and WHO non-lab risk scoring calculators.
    VL  - 7
    IS  - 3
    ER  - 

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Author Information
  • School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

  • School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

  • Department of Internal Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana

  • School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

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