Cardiovascular Risk Screening Options in Diabetes: Framework for Selective Adoption

Authors

  • Ezekiel U Nwose Charles Sturt University, Australia
  • Kester A Digban Novena University Ogume, Delta State, Nigeria
  • Echinei J Oshionwu Sacramento, CA 95814, USA
  • Innocent C Onyia Onyx Hospital and Maternity Ltd, Lagos, Nigeria
  • Phillip T Bwititi Charles Sturt University, New South Wales, Australia
  • Victor M Oguoma Charles Darwin University, Australia
  • Anayochukwu E Anyasodor Charles Sturt University, New South Wales, Australia
  • Prajwal Gyawali Charles Sturt University, New South Wales, Australia

Keywords:

cardiovascular risk, low-mid income communities, screening models, the 5As framework

Abstract

Background: There exist several models for assessment of risk of cardiovascular disease (CVD), including different criteria for diag- nosis 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 in- dividual who has a BMI of 39 with CVD risk ≤8.0%. Second case review illustrates how the same BMI and lipid models vary in out- comes depending on gender. Third case report shows how differ- ent ‘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.

References

Deo R, Albert CM. Epidemiology and genetics of sudden cardiac death. Circulation 2012; 125(4):620-637.

Nainggolan L. New stats show woeful impact of CVD in lower-income countries. Medscape 2011; http://www. medscape.com/viewarticle/749953. Accessed 27th March, 2014.

Smith SC. Reducing the global burden of ischemic heart disease and stroke: A challenge for the cardiovascular community and the United Nations. Circulation. 2011; 124(3):278-279.

Ikem I, Sumpio BE. Cardiovascular disease: the new epidemic in sub-Saharan Africa. Vascular. 2011; 19(6):301- 307.

Frood A. Funding: Global Alliance for Chronic Diseases tackles diabetes. The Lancet 2013; 382(9897):1014.

Fleming P, Godwin M. Lifestyle interventions in primary care: systematic review of randomized controlled trials. Can Fam Physician 2008; 54(12):1706-1713.

van Geffen EC, Philbert D, van Boheemen C, van Dijk L, Bos MB, Bouvy ML. Patients' satisfaction with information and experiences with counseling on cardiovascular medication received at the pharmacy. Patient Educd Counsel 2011; 83(3):303-309.

Berger JS, Jordan CO, Lloyd-Jones D, Blumenthal RS. Screening for cardiovascular risk in asymptomatic patients. J Am Coll Cardiol 2010; 55(12):1169-1177.

Cook NR, Paynter NP, Eaton CB, et al. Comparison of the Framingham and Reynolds Risk scores for global cardiovascular risk prediction in the multiethnic Women's Health Initiative. Circulation 2012; 125(14):1748-1756, s1741-1711.

Thompson RH, Snyder AE, Burt DR, Greiner DS, Luna MA. Risk screening for cardiovascular disease and diabetes in Latino migrant farmworkers: a role for the community health worker. J Community Health 2015; 40(1):131-137.

Michos ED, Blumenthal RS. How accurate are 3 risk prediction models in US women? Circulation 2012; 125(14):1723-1726.

D’Agostino RB, Vasan RS, Pencina MJ, et al. General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study. Circulation 2008; 117(6):743-753.

New Zealand Guidelines Group. New Zealand cardiovascular risk charts. 2009; http://www.health. govt.nz/publication/new-zealand-cardiovascular-risk- charts. Accessed 28th April, 2014.

BUPA. How does your health age stack up against your real age? Bupa Australia Pty Ltd 2010; http://www. bupa.com.au/health-and-wellness/tools-and-apps/tools and-calculators/quick-health-age-check. Accessed 26th Dec 2013.

Oguoma VM, Nwose EU, Skinner TC, Digban KA, Onyia IC, Richards RS. Prevalence of cardiovascular disease risk factors among a Nigerian adult population: relationship with income level and accessibility to CVD risks screening. BMC Public Health. 2015; 15(1):397.

Oguoma VM, Nwose EU, Bwititi PT. Cardiovascular disease risk prevention: preliminary survey of baseline knowledge, attitude and practices of a nigerian rural community. North Am J Med Sci 2014; 6(9):466-471.

Nwose EU, Oguoma VM, Bwititi PT, Richards RS. Metabolic syndrome and prediabetes in ndokwa community of Nigeria: preliminary study. North Am J Med Sci 2015; 7(2):53-58.

Harris M, Lloyd J. The role of Australian primary health care in the prevention of chronic disease. Australian National Preventive Health Agency 2012; http://www. anpha.gov.au/internet/anpha/publishing.nsf/Content/2 8433043152D3FD5CA257B7E00270FED/$File/M%20Harri s%20paper%202012%20-%20final.pdf. Accessed 03 Jan 2015.

Downloads

Published

2016-06-30

How to Cite

1.
Nwose EU, Digban KA, Oshionwu EJ, Onyia IC, Bwititi PT, Oguoma VM, Anyasodor AE, Gyawali P. Cardiovascular Risk Screening Options in Diabetes: Framework for Selective Adoption. Natl J Community Med [Internet]. 2016 Jun. 30 [cited 2024 Nov. 21];7(06):540-4. Available from: https://njcmindia.com/index.php/file/article/view/995

Issue

Section

Case Report