DEVELOPMENT AND VALIDATION OF A CLINICAL SCORE TO ESTIMATE THE PROBABILITY OF CORONARY-ARTERY DISEASE IN MEN AND WOMEN PRESENTING WITH SUSPECTED CORONARY-DISEASE
Ap. Morise et al., DEVELOPMENT AND VALIDATION OF A CLINICAL SCORE TO ESTIMATE THE PROBABILITY OF CORONARY-ARTERY DISEASE IN MEN AND WOMEN PRESENTING WITH SUSPECTED CORONARY-DISEASE, The American journal of medicine, 102(4), 1997, pp. 350-356
PURPOSE: Guidelines for the management of patients with suspected coro
nary disease have emphasized stratification into groups with low, inte
rmediate, and high probability of significant coronary disease. Previo
usly derived clinical prediction rules have been difficult to apply in
clinical settings. The purpose of this study was to develop and valid
ate a clinical score that facilitates this stratification process. PAT
IENTS AND METHODS: We performed a retrospective analysis of prospectiv
ely acquired data from 915 patients with suspected coronary disease an
d normal resting electrocardiograms who presented for exercise testing
at a university hospital. All patients subsequently underwent coronar
y angiography. Analysis included logistic regression with significant
coronary disease (greater than or equal to 1 vessel with a greater tha
n or equal to 50% lesion) presence as the dependent variable and clini
cal variables as independent variables. From this analysis, a coronary
disease score was developed to estimate prevalence of coronary diseas
e from clinical variables. Validation of this score was performed in a
separate prospectively acquired cohort of 348 patients. RESULTS: For
the entire validation group, the prevalence of significant coronary di
sease was 16% (10/63) in the low probability group, 44% (86/195) in th
e intermediate probability group, and 69% (62/90) in the high probabil
ity group. Both men and women were stratified equally well into the 3
probability groups.CONCLUSION: The clinical score is an easily memoriz
ed and accurate method for categorizing patients with suspected but no
t proven coronary disease and normal resting electrocardiograms into c
linically meaningful probability groups upon which decisions concernin
g appropriate diagnostic test selection could potentially be based. (C
) by Excerpta Medica, Inc.