Objective-To examine 30 day survival after acute myocardial infarction
as an outcome indicator, and explore the effects of adjusting for ava
ilable prognostic factors such as age, sex, co-morbidity, deprivation,
and deaths outside hospital. Design-Cohort study. Setting-The Scottis
h Record Linkage System was analysed. This national database Links inp
atient data to death certificate information for a population of 5.1 m
illion. Subjects-All 40 371 admissions to hospital with a principal di
agnosis of acute myocardial infarction, plus all 18 452 deaths outside
hospital with a principal cause of death registered as acute myocardi
al infarction (ICD9 code 410) during 1988-1991. Main outcome measures-
The outcome event was death from any cause, within hospital or elsewhe
re, within 30 days of admission. Results-During 1988-1991, 30 day surv
ival after acute myocardial infarction was 77% in 40 371 hospital admi
ssions, but only 53% when 18 452 acute myocardial infarction deaths in
the community were included (a population-based outcome indicator wit
h many advantages). Using logistic regression at an individual patient
level, the odds of dying within 30 days effectively doubled for each
decade of age (odds ratio compared with patients aged under 55: 2.3 ag
ed 55-64, 4.4 aged 65-74, 8.2 aged 75-84, 12.0 aged 85 plus); were mar
ginally higher in females than in males (odds ratio 1.07); were almost
doubled in patients with a history of previous infarction, coronary h
eart disease, or other heart disease, and were also significantly incr
eased in patients with circulatory disease, respiratory disease, neopl
asm, or diabetes. Socioeconomic deprivation had no significant effect.
Marked variations in survival between different hospitals and health
board areas persisted, even after adjusting for the above prognostic f
actors. Conclusion-One month survival after acute myocardial infarctio
n could be a useful means of measuring outcome of hospital care. There
was important geographical variation in one month survival. These dif
ferences could be accounted for by variations in referral, admission,
diagnosis, definition, and coding. These variables merit further resea
rch and local clinical audit before one month survival after acute myo
cardial infarction can be reliably used for detecting differences in q
uality of care. In addition, it would be essential to take account of
infarct severity.