Vol 13, No 2 (2024)
Research paper
Published online: 2024-04-10

open access

Page views 66
Article views/downloads 41
Get Citation

Connect on Social Media

Connect on Social Media

Prevalence of Cardiovascular Disease Risk Factors And Assessment of 10-Year Risk of Developing Cardiovascular Diseases in Premenopausal and Postmenopausal Women with Type 2 Diabetes: A Comparative Analysis

Piyumi Kumari Weerawickrama1, Chamila Weerasinghe1, Anjana Sudarshani Fernando1, Dilhara Sewwandi Karunarathna2, Chaminda Garusnghe3
DOI: 10.5603/cd.99297
Clin Diabetol 2024;13(2):93-100.

Abstract

Objective: This study aimed to assess the prevalence of cardiovascular disease (CVD) risk factors and compare the performance of the World Health Organization/International Society of Hypertension (WHO/ISH) risk prediction score and Framingham risk score (FRS) in predicting CVD risk among pre- and postmenopausal females. Materials and methods: This cross-sectional study was conducted on a total of 293 female subjects with type 2 diabetes at Colombo South Teaching Hospital, Sri Lanka. The 10-year risk of developing CVD was calculated using WHO/ISH charts and FRSs and compared. The tools were validated through the use of elevated LDL-C levels, high diastolic blood pressure, high HbA1c and elevated fasting plasma glucose levels. Results: Among the study population, 25.9%, 54.9%, 50.8%, 98.0% and 0% had dyslipidemia, hypertension, obesity/overweight, central obesity, and smoking, respectively. The CVD risk was significantly greater among postmenopausal women than premenopausal women (p < 0.05). The FRS identified 23.2%, 48.8%, 20.8% and 7.2% of women as low risk ( < 10%), moderate risk (10–19.9%), high risk (20–29.9%) and very high risk (≥ 30%), respectively, whereas the WHO/ISH identified 78.8%, 14.3%, 2.0% and 4.8%, respectively. There was a significant discrepancy in the agreement between the two tools (k value = 0.068, p < 0.05). WHO/ISH charts revealed that the majority of women with elevated LDL-C levels (80.2%) were low-risk individuals, while FRSs identified the majority of women with raised LDL-C levels (92.2%) as moderate/high risk. Conclusions: There was a significant discrepancy in the performance of the WHO/ISH and FRS. WHO/ISH underestimates CVD risk, while the FRS identifies high-risk women who require therapeutic interventions.

Article available in PDF format

View PDF Download PDF file

References

  1. Roth GA, Johnson C, Abajobir A, et al. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015. J Am Coll Cardiol. 2017; 70(1): 1–25.
  2. World Health Organization. Country Office for Sri Lanka. (‎2019)‎. Status, determinants and interventions on cardiovascular disease & diabetes in Sri Lanka: desk review of research 2000-2018. https://iris.who.int/handle/10665/329430 (10.02.2024).
  3. Martín-Timón I, Sevillano-Collantes C, Segura-Galindo A, et al. Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength? World J Diabetes. 2014; 5(4): 444–470.
  4. Kalofoutis C, Piperi C, Kalofoutis A, et al. Type II diabetes mellitus and cardiovascular risk factors: Current therapeutic approaches. Exp Clin Cardiol. 2007; 12(1): 17–28.
  5. Díez Espino J. [Diagnosis and management of type 2 diabetes]. Aten Primaria. 2010; 42 Suppl 1(Suppl 1): 2–8.
  6. Interbational Diabetes Federation (2021) IDF Diabetes Atlas 10th. https://www.diabetesatlas.org/ (10.02.2024).
  7. Arambewela MH, Somasundaram NP, Jayasekara HB, et al. Prevalence of Chronic Complications, Their Risk Factors, and the Cardiovascular Risk Factors among Patients with Type 2 Diabetes Attending the Diabetic Clinic at a Tertiary Care Hospital in Sri Lanka. J Diabetes Res. 2018; 2018: 4504287.
  8. World Heart Federation. Women and CVD - Facts and tips 2017. https://www.world-heart-federation.org/resources/women-cvd-facts-tips/ (2.04.2021).
  9. Arnold AP, Cassis LA, Eghbali M, et al. Sex Hormones and Sex Chromosomes Cause Sex Differences in the Development of Cardiovascular Diseases. Arterioscler Thromb Vasc Biol. 2017; 37(5): 746–756.
  10. Mauvais-Jarvis F. Is Estradiol a Biomarker of Type 2 Diabetes Risk in Postmenopausal Women? Diabetes. 2017; 66(3): 568–570.
  11. Katulanda P, Sheriff MHR, Matthews DR. The diabetes epidemic in Sri Lanka - a growing problem. Ceylon Med J. 2006; 51(1): 26–28.
  12. Gupta P, Prieto-Merino D, Ajay VS, et al. Cardiovascular risk prediction in India: Comparison of the original and recalibrated Framingham prognostic models in urban populations. Wellcome Open Res. 2019; 4: 71.
  13. Zhou H, Zhang C, Ni J, et al. Prevalence of cardiovascular risk factors in non-menopausal and postmenopausal inpatients with type 2 diabetes mellitus in China. BMC Endocr Disord. 2019; 19(1): 98.
  14. World Health Organization. Regional Office for the Eastern Mediterranean. (‎2006)‎. Guidelines for the management of dyslipidaemia in patients with diabetes mellitus: quick reference guide. https://iris.who.int/handle/10665/119809 (10.02.2024).
  15. Unger T, Borghi C, Charchar F, et al. 2020 International Society of Hypertension Global Hypertension Practice Guidelines. Hypertension. 2020; 75(6): 1334–1357.
  16. World health organization. Obesity and overweight. 2020. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (27.04.2021).
  17. Nishida C, Ko GT, Kumanyika S. Body fat distribution and noncommunicable diseases in populations: overview of the 2008 WHO Expert Consultation on Waist Circumference and Waist-Hip Ratio. Eur J Clin Nutr. 2010; 64(1): 2–5.
  18. WHO/ISH cardiovascular risk prediction charts. WHO 2011. https://www3.paho.org/hq/dmdocuments/2010/colour_charts_24_Aug_07.pdf (10.02.2024).
  19. Correction to: 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018; 71(6): e140–e144.
  20. Herath HM, Weerarathna TP, Umesha D. Cardiovascular risk assessment in type 2 diabetes mellitus: comparison of the World Health Organization/International Society of Hypertension risk prediction charts versus UK Prospective Diabetes Study risk engine. Vasc Health Risk Manag. 2015; 11: 583–589.
  21. American Diabetes Association. 2. Classification and Diagnosis of Diabetes: . Diabetes Care. 2019; 42(Suppl 1): S13–S28.
  22. Naftolin F, Friedenthal J, Nachtigall R, et al. Cardiovascular health and the menopausal woman: the role of estrogen and when to begin and end hormone treatment. F1000Res. 2019; 8.
  23. Ghorpade AG, Shrivastava SR, Kar SS, et al. Estimation of the cardiovascular risk using World Health Organization/International Society of Hypertension (WHO/ISH) risk prediction charts in a rural population of South India. Int J Health Policy Manag. 2015; 4(8): 531–536.
  24. Mondal R, Ritu RB, Banik PC. Cardiovascular risk assessment among type-2 diabetic subjects in selected areas of Bangladesh: concordance among without cholesterol-based WHO/ISH, Globorisk, and Framingham risk prediction tools. Heliyon. 2021; 7(8): e07728.
  25. Selvarajah S, Kaur G, Haniff J, et al. Comparison of the Framingham Risk Score, SCORE and WHO/ISH cardiovascular risk prediction models in an Asian population. Int J Cardiol. 2014; 176(1): 211–218.
  26. Simmons RK, Coleman RL, Price HC, et al. Performance of the UK Prospective Diabetes Study Risk Engine and the Framingham Risk Equations in Estimating Cardiovascular Disease in the EPIC- Norfolk Cohort. Diabetes Care. 2009; 32(4): 708–713.
  27. Singh T, Pilania M, Jat GS, et al. Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population. Indian J Community Med. 2018; 43(3): 170–174.
  28. Yang L, Lin L, Kartsonaki C, et al. China Kadoorie Biobank Study Collaborative Group. Menopause Characteristics, Total Reproductive Years, and Risk of Cardiovascular Disease Among Chinese Women. Circ Cardiovasc Qual Outcomes. 2017; 10(11): e004235.