BMJ 2004;328:1413-1414 (12 June), doi:10.1136/bmj.38111.650741.F7 (published 21 May 2004)
Paper
Hospital discharge rates for suspected acute coronary syndromes between 1990 and 2000: population based analysis
N F Murphy, research fellow1,
K MacIntyre, specialist registrar2,
S Capewell, professor3,
S Stewart, professor4,
J Pell, consultant5,
J Chalmers, consultant6,
A Redpath, statistician6,
S Frame, principal analyst6,
J Boyd, record linkage project manager6,
J J V McMurray, professor1
1 Department of Cardiology, Western Infirmary, Glasgow G12 8QQ,
2 Department of Public Health, University of Glasgow, Glasgow G12 8RZ,
3 Department of Public Health, University of Liverpool, Liverpool L69 3GB,
4 Division of Health Sciences, University of South Australia, Adelaide 5000, Australia,
5 Greater Glasgow Health Board, Glasgow G3 8YU,
6 Information and Statistics Division, Edinburgh EH5 3SQ
Correspondence to: J J V McMurray j.mcmurray@bio.gla.ac.uk
| The first 150 words of the full text of this article appear below. |
Introduction
Although hospital discharge rates for acute myocardial infarction
are falling,
1-4 no contemporary studies compare temporal trends
in these rates for angina and other types of chest pain. We
examined recent trends in population discharge rates for myocardial
infarction, angina, and chest pain ("suspected acute coronary
syndromes") between 1990 and 2000.
Participants, methods, and results
We got data from the Scottish morbidity record for Scottish
residents aged at least 18 years with a "first" emergency hospitalisation
for myocardial infarction (codes ICD-9 (international classification
of diseases, ninth revision) 410, ICD-10 I21 or I22), angina
(ICD-9 411 or 413; ICD-10 I20 or I24.9) or "other chest pain"
(ICD-9 786.5; ICD-10 R07), between 1990 and 2000.
5 We analysed
discharges coded only in the principal position. A "first" hospitalisation
was one with no discharge diagnosis of coronary heart disease
or chest pain in the previous 10 years.
We calculated rates using annual official age and sex specific population estimates . . . [Full text of this article]
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