Pre-hospital delay in acute myocardial infarction in an urban Indian hospital: a prospective study

Natl Med J India. 2001 Jan-Feb;14(1):8-12.

Abstract

Background: Successful treatment of acute myocardial infarction is dependent on early presentation of the patient to the hospital. The factors that contribute to delay in seeking treatment have not been systematically evaluated in the Indian milieu.

Methods: Patients admitted with acute myocardial infarction to a 125-bed urban community hospital were evaluated prospectively. A record of admission characteristics, prior medical history, pre-hospital symptoms and treatment patterns was completed within 48 hours of each admission. Independent predictors of delayed admission were identified by logistic regression.

Results: Of 144 consecutive admissions with myocardial infarction, 133 had completed data as per the protocol [mean (SD) age 59 (12.7) years; 79.6% men]. The distribution of presentation times was skewed, with the mode, median and mean being 1, 3 (interquartile range 1.25-11) and 10.9 (SD 20.5) hours, respectively. Seventy-nine patients (59.4%) consulted a general practitioner prior to hospital referral and 48 patients (36.1%) delayed admission to hospital by more than 6 hours from the onset of symptoms. On multivariate analysis, individuals who were initially seen by a general practitioner (OR 5.57; 95% CI 1.84-16.8) and those over the age of 65 years (OR 3.24; 95% CI 1.06-9.89) were identified as 'delayers', while patients with severe symptoms (OR 0.32; 95% CI 0.12-0.87) or prodromal angina (OR 0.25; 95% CI 0.08-0.82) minimized delay.

Conclusion: Though 50% of patients with acute myocardial infarction present to hospital within 3 hours, about 36% delay seeking treatment by more than 6 hours. Besides age and the pattern and severity of symptoms, visits to the general practitioner were found to be an independent correlate of delay.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Analysis of Variance
  • Female
  • Hospitals, Urban
  • Humans
  • India
  • Logistic Models
  • Male
  • Middle Aged
  • Myocardial Infarction / diagnosis*
  • Myocardial Infarction / therapy
  • Pain Measurement
  • Patient Acceptance of Health Care*
  • Prospective Studies
  • Socioeconomic Factors
  • Time Factors