(Circulation. 1995;92:741-747.)
© 1995 American Heart Association, Inc.
Articles |
From the Departments of Cardiology (S.G.E., K.J.B., N.O., G.L.H., J.G., E.J.T.) and Biostatistics (D.P.M., M.K.), The Cleveland Clinic Foundation, Cleveland, Ohio.
Correspondence to Stephen G. Ellis, MD, The Cleveland Clinic Foundation, 9500 Euclid Ave, F-25, Cleveland, OH 44195.
Background Hospital charges associated with percutaneous transluminal coronary revascularization (PTCR) in the United States exceeded $6 billion in 1994 and are likely to be constrained in some manner in the near future. Despite this high cost to the public, little is known about the major determinants and sources of variability of PTCR.
Methods and Results From a consecutive series of 1258 procedures
with attempted PTCR at a single tertiary referral center, we
analyzed 65 clinical, angiographic, physician, and outcome
variables as potential correlates of total (hospital and physician)
cost. Direct and indirect costs, both hospital and physician, were
determined on the basis of resource utilization using "top-down"
methodology and were available for 1237 procedures (1086 patients)
(98.3%). Mean (±SD) patient age was 62±11 years, 76% were male,
3%
had acute myocardial infarction, 71% had unstable angina, 58% had
multivessel disease, left ventricular ejection fraction was
54±12%, 26% had use of at least one nonballoon
revascularization device, and median length of stay
was 4.4 days. Procedural success was obtained in 89%, and major
complications (death, bypass surgery, or Q-wave myocardial infarction)
occurred in 3.8%. The median cost was $9176, but it was asymmetrically
distributed, and the interquartile and total ranges were wide ($7333 to
$13 845 and $3422 to $193 474, respectively). Analyses of
independent correlates of cost and loge(cost)
were performed using multivariate linear regression in
training and test populations. Modeling found 15 independent
preprocedural correlates of loge(cost)
(R2=.37) and 23 overall correlates
(R2=.65), excluding length of stay per se.
Addition of length of stay to the model increased the explanatory power
of the model to R2=.82. Preprocedural
variables most predictive of
loge(cost) included presentation with
acute myocardial infarction, decision delay (>48 hours between
admission and diagnostic angiography and/or >24 hours
between angiography and intervention), weekend delay, use of
intra-aortic balloon counterpulsation, intention to stent,
creatinine
2.0 mg%, and lesion complexity (modified
American College of Cardiology/American Heart
Association score) (all P<.001). In the model that included
postprocedural variables as well, length of stay, noncardiac death,
urgent bypass surgery, use of the Rotablator, Q-wave myocardial
infarction, rise in creatinine
1.0%, and blood
product transfusion were all strong independent correlates of
loge(cost) (P<.001).
Conclusions The range of total hospital costs associated with percutaneous intervention is extraordinarily wide. Baseline patient characteristics account for nearly half of the explained variance, but procedural complications and system delays account for much of the remainder. Quantification of the determinants of cost may promote more economically efficient care in the future.
Key Words: angioplasty coronary disease cost analysis
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