Predictors of fatal outcome in acute myocardial infarction.
BACKGROUND
Myocardial infarction is one of the most common life threatening diagnoses in emergency hospital admissions. Most of the complications occur during the first few hours while the patients are likely to be in the hospital. Although the mortality rate after admission for myocardial infarction has declined significantly over the last two decades but it still remains high. Survival is markedly influenced by age of the patient, presence of different risk factors and complications that patients develop after myocardial infarction. We conducted a study at Armed Forces Institute of Cardiology/National Institute of Heart Diseases (AFIC/NIHD) to document the predictors of mortality in patients with acute myocardial infarction.


METHODS
Patients with first acute myocardial infarction admitted to the hospital from Feb. 2007 to June 2007 were included in the study. It was a descriptive case series study and data was collected on a pre-designed proforma with convenient sampling technique. Patients were assessed clinically with special emphasis on history of typical chest pain and physical examination. Relevant investigations were carried out to establish the diagnosis.


RESULTS
Two hundred and fifty cases were assessed. Mean age was 57.94-14.00 years. Males were 74.4% and Females were 25.6%. Overall in-hospital mortality was 9.2%. Females had a higher mortality (14.06%) as compared to males (7.52%). Mortality was also related with age of the patient and Diabetes Mellitus. Other features adversely affecting the in-hospital mortality included higher Killip class, anterior wall myocardial infarction and higher peak Creatine Kinase (CK) levels. Mortality was also higher in patients who did not receive thrombolytic therapy for different reasons.


CONCLUSIONS
Patients with certain risk factors are more prone to develop complications and have a higher mortality rate. Identification of some of these risk factors and timely management of complications may reduce mortality.
Shabbir
Muhammad
M
AFIC/NIHD Rawalpindi. shabbir_1441@yahoo.com
Kayani
Azhar M
AM
Qureshi
Omarah
O
Mughal
Muhammad Mujahid
MM
D015415:Biomarkers / Q000097:blood*; D016009:Chi-Square Distribution; D015897:Comorbidity; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000401:mortality*; D011237:Predictive Value of Tests; D012307:Risk Factors; D012737:Sex Factors
D015415:Biomarkers