DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20213808

Ten years risk assessment of cardiovascular events among adult population visiting urban health and training centre of a tertiary care institution, Farrukhabad, Uttar Pradesh, India

M. N. Alam, Shagufta Khatoon

Abstract


Background: Cardiovascular diseases (CVDs) are the number one cause of death globally, four out of five CVDs deaths are due to heart attacks and strokes, and one third of these deaths occur prematurely in people under 70 years of age. In view of above background study conducted with the aim and objective to determine Ten years risk assessment of cardiovascular events (myocardial infarction or stroke) among adult population visiting UHTC of a tertiary care Institution, Farrukhabad, UP, India.

Methods: A cross-sectional study was conducted using World Health organisation (WHO)/International Society of Hypertension (ISH) tool at urban health and training centre (UHTC) of a tertiary care institution at Farrukhabad, UP from August 2017 to January 2018.  Sample size was 400 (n=4pq/l2). Ethical clearance was obtained from institutional ethical committee and written informed consent obtained from the participants. Data analysed using SPSS Software. Chi-square test used to observe level of significance at p<0.05.

Results: Majority (69.5%) have less than 10% risk for CVD whereas 10.5% have 10-20% risk, 8% people have 20-30% risk, 6.25% have 30-40% risk and 5.75% people have ≥ 40% risk. Majority (58.75%) belong to young adult. About 7.75% people were diabetic and 11.25% were smoker. Concerning serum cholesterol, 49% had 5 mmol/l, 42% had 4 mmol/l, 0.75% had ≥8 mmol/l. Statistically significant association observed between socio-economic status (SES) and cardiovascular event when chi-square is 95.344, and p<0.00001.

Conclusions: About 1/3 population have risk above 10%. Mostly middle-income group are on risk.


Keywords


Cardiovascular diseases, WHO/ISH chart, Ten year risk prediction, Adult population

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References


Cardiovascular diseases. Who.int. Available from: https://www.who.int/health-topics/cardiovascular-diseases. Last accessed 24 January 2021.

Who.int. 2021. Available from: https://www.who. int/ncds/management/WHO_ISH_Risk_Prediction_Charts.pdf?ua=1. Last accessed 30 August 2021.

Premanandh K, Shankar R. Predicting 10-year cardiovascular risk using WHO/ISH risk prediction chart among urban population in Salem. International Journal of Community Medicine And Public Health. 2018;5(12):5228.

Islam J, Zaman M, Moniruzzaman M, Ara Shakoor S, Hossain A. Estimation of total cardiovascular risk using the 2019 WHO CVD prediction charts and comparison of population-level costs based on alternative drug therapy guidelines: a population-based study of adults in Bangladesh. BMJ Open. 2020;10(7):e035842.

Maharani A, Sujarwoto, Praveen D, Oceandy D, Tampubolon G, Patel A. Cardiovascular disease risk factor prevalence and estimated 10-year cardiovascular risk scores in Indonesia: The SMARThealth Extend study. PLOS ONE. 2019;14(4):e0215219.

Ghorpade AG, Shrivastava SR, Kar SS, Sarkar S, Majgi SM, Roy G. 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):531-6.

Vikramaditya B, Satija M, Chaudhary A, Sharma S, Girdhar S, Bansal P. A community based cross sectional study to estimate total cardiovascular risk in rural Punjab Int J Community Med Public Health. 2017;4(4):1295-302.

Otgontuya D, Oum S, Buckley B, Bonita R. Assessment of total cardiovascular risk using WHO/ISH risk prediction charts in three low and middle income countries in Asia. BMC Public Health. 2013;13(1).

Mendis S, Lindholm LH, Anderson SG, Alwan A, Koju R, Onwubere BJC, et al. Total cardiovascular risk approach to improve efficiency of cardiovascular prevention in resource constrain settings. J Clin Epidemiol; 2011.

Ndindjock R, Gedeon J, Mendis S, Paccaud F, Bovet P. Potential impact of single-risk-factor versus total risk management for the prevention of cardiovascular events in Seychelles. Bull World Health Organ. 2011;89:286-95.

Kanjilal S, Rao VS, Mukherjee M, Natesha BK, Renuka KS, Sibi K, et al. Application of cardiovascular disease risk prediction models and the relevance of novel biomarkers to risk stratification in Asian Indians. Vasc Health Risk Manag. 2008;4(1):199-211.