MODIFIABLE RISK FACTORS FOR MYOCARDIAL INFARCTION AMONG HYPERTENSIVE PATIENTS VISITING OUTPATIENT CLINICS OF TERTIARY CARE HOSPITALS IN COASTAL SOUTH INDIA

Authors

  • Rajesh Bhat Uppoor Assistant Professor, Department of Cardiology, Kasturba Medical College (Manipal University), Mangalore, Karnataka, India
  • Anchal Arora Undergraduate medical student, Kasturba Medical College (Manipal University) Mangalore, Karnataka, India.
  • Bhaskaran Unnikrishnan Professor , Department of Community Medicine, Kasturba Medical College (Manipal University) Mangalore, Karnataka, India.
  • Ramesh Holla Assistant Professor, Department of Community Medicine, Kasturba Medical College (Manipal University), Mangalore, Karnataka, India.

Abstract

Objectives: To assess the proportion of modifiable risk factors for myocardial infarction (MI) among hypertensive patients and to categorize them
into different risk categories so as to determine the probability of developing MI in near future.
Methods: A hospital-based cross-sectional study done in two tertiary care hospitals attached to a medical college in south India. 600 hypertensive
patients were interviewed by the treating physician using convenient sampling technique after taking the written informed consent from them. The
interview was conducted using the non-laboratory INTERHEART Modifiable Risk Score (non-laboratory IHMRS scores).
Results: The majority of the study participants (n=404, 67.3%) never smoked in their life time, 21.6% were former smokers (n=130), and 11.1% of
the study participants were currently smoking (n=66). More than half of the study participants (n=328, 54.7%) were currently diabetic. Most of them
had abdominal obesity (n=469, 78.2%). Around 35.3% (n=212) of the subjects had felt sad or depressed for 2 weeks or more in a row in the last year.
Fruits and vegetables were not consumed one or more times daily by 35.5% (n=213) and 11.1% (n=67) of the subjects respectively. A 19 patients
(3.2%) were in the lowest risk category, 132 (22%) were at moderate risk, and 449 (74.8%) fell into the highest risk category for development of MI.
Conclusion: The present study categorized the hypertensive patients into different risk categories; wherein majority of them fell into the high-risk
category. Thus, this non-laboratory IHMRS can be used as a risk predictor for the development of MI.
Keywords: Risk factors, Hypertensive, Non-laboratory INTERHEART Modifiable Risk Score, Myocardial infarction.

Downloads

Download data is not yet available.

References

The Atlas of Heart Disease and Stroke, 2009. Available from: http://

www.who.int/cardiovascular_diseases/resources/atlas/en/. [Last

accessed on 2015 Jun 04].

Park K. Park’s Textbook of Preventive and Social Medicine. 23

ed.

Jabalpur, India: M/s Banarsidas Bhanot Publishers; 2015. p. 365, 369,

, 393.

Kumar N, Unnikrishnan B, Thapar R, Mithra P, Kulkarni V, Holla R,

et al. Factors associated with adherence to anti-hypertensive treatment

among patients attending a tertiary care hospital in Mangalore, South

India. Int J Curr Res Rev 2014;6(10):77-85.

Dunn FG. Hypertension and myocardial infarction. J Am Coll Cardiol

;1:528-32.

NIH. The Seventh Report of the Joint National Committee on

Prevention, Detection, Evaluation, and Treatment of High Blood

Pressure; 2003. Available from: http://www.nhlbi.nih.gov/guidelines/

hypertension/jnc7full.pdf. [Last accessed on 2015 Jul 12].

Rakugi H, Yu H, Kamitani A, Nakamura Y, Ohishi M, Kamide K, et al.

Links between hypertension and myocardial infarction. Am Heart J

;132:213-21.

Pais P, Pogue J, Gerstein H, Zachariah E, Savitha D, Jayprakash S, et al.

Risk factors for acute myocardial infarction in Indians: A case-control

study. Lancet 1996;348(9024):358-63.

Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al.

Effect of potentially modifiable risk factors associated with myocardial

infarction in 52 countries (the INTERHEART study): Case-control

study. Lancet 2004;364(9438):937-52.

Hussain SM, Oldenburg B, Wang Y, Zoungas S, Tonkin AM.

Assessment of cardiovascular disease risk in South Asian populations.

Int J Vasc Med 2013;2013:786801.

O’Riordan M. INTERHEART: Nine Modifiable Risk factors predict

% of acute MI. 2004;4. Available from: http://www.medscape.com/

viewarticle/783227. [Last accessed on 2015 Jun 04].

Lanas F, Avezum A, Bautista LE, Diaz R, Luna M, Islam S,

et al. Risk factors for acute myocardial infarction in Latin

America: The INTERHEART Latin American study. Circulation

;115:1067-74.

McGorrian C, Yusuf S, Islam S, Jung H, Rangarajan S, Avezum A, et al.

Estimating modifiable coronary heart disease risk in multiple regions

of the world: The INTERHEART Modifiable Risk Score. Eur Heart J

;32:581-9.

Williams IL, Noronha B, Zaman AG. The management of acute

myocardial infarction in patients with diabetes mellitus. Br J Diabetes

Vasc Dis 2003;3(5):319-24.

Rosengren A, Hawken S, Ounpuu S, Sliwa K, Zubaid M,

Almahmeed WA, et al. Association of psychosocial risk factors with

risk of acute myocardial infarction in 11119 cases and 13648 controls

from 52 countries (the INTERHEART study): Case-control study.

Lancet 2004;364(9438):953-62.

Xu T, Li W, Teo K, Wang XY, Liu LS, Yusuf S. INTER-HEART China

Investigators. Association of psychological risk factors and acute

myocardial infarction in China: The INTER-HEART China study. Chin

Med J (Engl) 2011;124(14):2083-8.

Masiá R, Pena A, Marrugat J, Sala J, Vila J, Pavesi M, et al. High

prevalence of cardiovascular risk factors in Gerona, Spain, a province

with low myocardial infarction incidence. REGICOR Investigators.

J Epidemiol Community Health 1998;52(11):707-15.

Published

01-11-2015

How to Cite

Uppoor, R. B., A. Arora, B. Unnikrishnan, and R. Holla. “MODIFIABLE RISK FACTORS FOR MYOCARDIAL INFARCTION AMONG HYPERTENSIVE PATIENTS VISITING OUTPATIENT CLINICS OF TERTIARY CARE HOSPITALS IN COASTAL SOUTH INDIA”. Asian Journal of Pharmaceutical and Clinical Research, vol. 8, no. 6, Nov. 2015, pp. 204-6, https://mail.innovareacademics.in/journals/index.php/ajpcr/article/view/8246.

Issue

Section

Original Article(s)

Most read articles by the same author(s)