Cardiovascular risk screening options in diabetes: framework for selective adoption

Nwose, Ezekiel U. and Digban, Kester A. and Oshionwu, Echinei J. and Onyia, Innocent C. and Bwititi, Phillip T. and Oguoma, Victor M. and Anyasodor, Anayochukwu E. and Gyawali, Prajwal ORCID: (2016) Cardiovascular risk screening options in diabetes: framework for selective adoption. National Journal of Community Medicine, 7 (6). pp. 540-544. ISSN 0976-3325


Background: There exist several models for assessment of risk of cardiovascular disease (CVD), including different criteria for diagnosis of obesity, of which a major disparity is ‘definition of waist circumference’. Case reports and comparative reviews are hereby presented to exemplify that one cap ‘model’ does not fit all.

Cases: First case illustrates how very slim person with BMI of 17 may possess cardiovascular risk ≥22.7% compared to an obese individual who has a BMI of 39 with CVD risk ≤8.0%. Second case review illustrates how the same BMI and lipid models vary in outcomes depending on gender. Third case report shows how different ‘definitions of waist circumference’ impacts on identification of obesity, which in turn affect decision about metabolic syndrome.

Conclusion: The needs for paradigm shift and 5-step framework are briefly highlighted.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: c. National Journal of Community Medicine.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 28 Sep 2020 03:03
Last Modified: 30 Sep 2020 01:23
Uncontrolled Keywords: cardiovascular risk, low-mid income communities, screening models, 5As framework
Fields of Research (2008): 11 Medical and Health Sciences > 1102 Cardiovascular Medicine and Haematology > 110201 Cardiology (incl. Cardiovascular Diseases)
Fields of Research (2020): 32 BIOMEDICAL AND CLINICAL SCIENCES > 3201 Cardiovascular medicine and haematology > 320101 Cardiology (incl. cardiovascular diseases)

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