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(Circulation. 1995;92:311-319.)
© 1995 American Heart Association, Inc.
Articles |
From the Department of Medicine, Brigham and Women's Hospital, Boston, Mass (M.W.W., B.A., J.A.B.); Department of Interventional Cardiology, University of Alabama at Birmingham (G.S.R., A.D.C.); Division of Cardiology, Baystate Medical Center, Springfield, Mass (M.S.); Division of Cardiology, St Elizabeth's Hospital, Boston, Mass (J.M.I.); Cardiology Research Department, Texas Heart Institute, Houston, Tex (J.J.F.); Division of Cardiology, Yale University, New Haven, Conn (M.C., H.C.); Division
| Abstract |
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|
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Methods and Results The study cohort included 591 consecutive patients undergoing conventional balloon angioplasty at nine medical centers in North America. Major or minor complications occurred in 91 patients (15.4%) and were observed to be related to several baseline characteristics, including unstable angina, multivessel coronary artery disease, patient age, and lesion complexity. Compared with a median length of hospital stay of 2.0 days after PTCA (25th, 75th percentiles: 2.0, 4.0) for the entire cohort of patients, the length of stay was increased in patients with unstable angina (3.0 days [2.0, 5.0]; P=.002), multivessel coronary artery disease (3.0 [2.0, 5.5]; P=.001), age >65 years (3.0 [2.0, 5.5]; P=.02), complex lesions (3.0 [2.0, 6.0]; P=.001), and filling defects (6.0 [2.0, 11.0]; P<.001). The length of stay was more strikingly increased, however, in patients who experienced major or minor PTCA complications, such as emergency bypass surgery (9.0 days [8.0, 18.0]; P<.001), Q-wave or nonQ-wave myocardial infarction (8.0 [6.0, 15.5]; P<.001), transfusion unrelated to bypass surgery (8.0 [4.0, 12.0]; P<.001), or abrupt vessel closure (6.0 [3.0, 10.5]; P<.001). On stepwise multiple linear regression, PTCA complications appeared to be the strongest predictors of length of hospital stay (all P<.001) and overwhelmed the weaker relation between length of stay and several individual baseline variables. Inclusion of a composite clinical risk score (reflecting the presence of unstable angina, multivessel disease, advanced age, complex lesions, or filling defects) in the regression model confirmed that patients with several high-risk baseline variables had a significant increase in length of stay after PTCA (P=.003), but PTCA complications remained the strongest predictors of length of stay.
Conclusions Although PTCA complications were correlated with baseline variables such as unstable angina, multivessel disease, advanced age, complex lesions, and filling defects, excess length of stay after PTCA was most strongly influenced by the development of minor and major PTCA complications. Because patients with several baseline risk factors experienced significantly prolonged hospitalizations, improved selection of patients may contribute to reductions in length of stay after PTCA. A greater reduction in resource use after PTCA, however, would be expected from developing new treatments to decrease PTCA complications rather than limiting the access of patients with unstable angina, advanced age, or complex lesions to PTCA.
Key Words: coronary disease cost-benefit analysis myocardial infarction clinical trials angioplasty bypass
| Introduction |
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Acute PTCA complications increase the use of hospital resources. Because resource use during PTCA has come under increased scrutiny as managed care systems and hospital partnerships emerge in an effort to reduce health care costs, it is important to identify the factors associated with increased use of resources, such as length of hospitalization after PTCA. Several studies have evaluated the relative costs of interventional cardiovascular procedures and bypass surgery,10 11 12 13 14 15 but the predictors of increased resource use after PTCA remain to be defined. The purpose of this study was to identify the factors responsible for prolonged hospital stay as a marker of resource use in patients undergoing PTCA.
| Methods |
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Angioplasty Protocol
Balloon angioplasty was performed
according to local practices
at each participating institution. The protocol required
intraprocedural monitoring of heparin anticoagulation with activated
clotting time measurements. Angiography of the target lesion was
recorded on cine film in two orthogonal or nearly orthogonal views
before treatment, after each series of balloon inflations, and at the
end of the procedure after the guide wire was removed from the coronary
artery. If a patient developed evidence of ischemia after PTCA,
repeat angiography was obligatory.
Definitions
Clinical success was defined as successful
dilatation of the
target lesion (<50% residual stenosis as measured in the core
angiographic laboratory) plus no major complication at any time during
hospitalization. Major complications were defined as death, nonfatal
myocardial infarction, and emergency bypass surgery (within 24 hours of
PTCA). Abrupt vessel closure was classified hierarchically as either
established or threatened closure. Established closure was defined by
National Heart, Lung, and Blood Institute criteria5 as
total or subtotal occlusion of the vessel after attempted angioplasty
with corresponding Thrombolysis in Myocardial Infarction (TIMI) grade 0
to 1 flow. Threatened closure was defined angiographically in the core
laboratory as an unstable lesion with >50% stenosis and decreased
flow (less than Thrombolysis in Myocardial Infarction grade 3) after
initial successful dilatation, requiring the use of an additional
intervention such as thrombolytic therapy, a perfusion balloon catheter
that had not been previously used, an intracoronary stent, or return to
the cardiac catheterization laboratory for repeat coronary
angioplasty.16
Unstable angina was defined as new,
crescendo, or rest ischemic
chest pain within 6 weeks preceding PTCA. Postinfarction angina was
defined as ischemic chest pain occurring within 6 weeks of
myocardial infarction. Multivessel disease was defined by the presence
of >70% stenosis (by visual assessment) in at least two major
coronary artery distributions (left main coronary artery; left anterior
descending coronary artery or diagonal branches; left circumflex
coronary artery, obtuse marginal branches, and posterior descending
artery for left-dominant circulations; or right coronary artery and
posterior descending artery for right-dominant
circulations).17 Lesion complexity was graded according to
the classification of the American College of Cardiology/American Heart
Association Task Force.1 18 A filling defect was
defined
as the presence of a globular intracoronary shape surrounded by
contrast on at least three sides, usually located immediately
downstream from a stenosis.19 20 21 A
myocardial infarction
was defined by the presence of at least two of the three following
criteria: (1) prolonged ischemic pain >30 minutes, (2) total
creatine kinase elevation to greater than twice the upper limit of
normal (confirmed by
2.0% creatine kinase-MB), and (3) ECG evidence
of infarction.
Data Collection
All patients were followed prospectively from
the time of PTCA
to the time of hospital discharge by the research coordinator at each
participating center. The protocol required preprocedure and
postprocedure nadir measurements of hematocrit and hemoglobin, as well
as measurements of creatine kinase at least once
12 hours after PTCA
in all patients. Creatine kinase measurements were required more often
(every 8 to 12 hours) if ischemic chest pain occurred. Clinical
data were entered on standardized case report forms and submitted to a
core clinical data center. The validity of the clinical data was
documented by review of every medical record by an independent clinical
monitor. Length of stay was recorded to the nearest 0.5 day of
hospitalization.
Core Angiographic Laboratory
Angiograms were sent to a core
angiographic laboratory to code
lesion complexity and to measure minimal lumen diameter, lesion length,
and stenosis severity with electronic digital calipers of optically
magnified frames, with the centered, contrast-filled guide catheter
used as reference. All angiograms were reviewed by experienced
angiographers who were not involved in the performance of the
procedures and were blinded to clinical outcome. The method of
assessment used in this study has been validated against computerized
edge-detection techniques.22
Statistical Methods
Fisher's exact test and unpaired
Student's t test
were used to determine baseline differences between the groups with and
without complications for categorical and normally distributed
continuous variables. Median values for length of stay between groups
with and without complications were compared by the Mann-Whitney
U test for single comparisons and by the Kruskal-Wallis test
statistic for multiple comparisons.23 Normality was
assessed with Kolmogorov-Smirnov testing.24
Logistic regression analysis was used to identify predictors of complications from a series of clinical (age, sex, diabetes, postinfarction angina, unstable angina, and multivessel disease), angiographic (lesion complexity, filling defects), and procedural (median value for activated clotting time) variables.25 Odds ratios (ORs) were provided to estimate the probability that patients with a given variable had increased likelihood of PTCA complication compared with all other patients without the variable.26 Of the variables evaluated, those found to have at least borderline significance on univariable analysis (P<.15) were included in the multivariable analysis.
Stepwise linear regression analysis was used to identify predictors of length of hospital stay from a series of clinical, angiographic, and procedural variables (death, myocardial infarction, abrupt vessel closure, and transfusion).27 Forward stepping was performed with a "P" to enter and a "P" to remove of .15. In both the logistic and linear regression analyses, the number of independent variables was limited to approximately 0.1 the number of complication events to reduce the likelihood of multicollinearity and "overfitting."28 Because the length-of-stay measurements were skewed, stepwise linear regression analysis was also carried out after logarithmic transformation of the dependent variable.29 A composite clinical risk score, based on the baseline and angiographic variables from logistic regression analysis significantly related to postangioplasty complications, was constructed. The risk score was calculated as the mathematical sum of all significant baseline variables (weighted according to their coefficients from the logistic model) and included in the stepwise linear regression analysis as a replacement for the individual baseline variables.
Because the dependent variables analyzed were patient-related outcomes, all analyses were performed with a database containing one record per patient. When the independent variable was a lesion characteristic such as lesion complexity, the most complex lesion grade for each patient was entered. Missing data for length of stay (1.7%) or angiographic characteristics (3.0%) were excluded from the analyses. All analyses were performed with standard statistical software (SYSTAT 5.1, LOGIT 2.0). All continuous data are presented as mean±SD or as median with 25th and 75th percentile (midrange) where specified.
| Results |
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Angioplasty Outcome and Complications
Forty-five patients
(7.6%) experienced at least one major
complication during hospitalization (Table 3
): 9
patients died (1.5%), 9 patients had Q-wave myocardial infarction
(1.5%), 16 patients experienced nonQ-wave myocardial infarction
(2.7%), and 19 patients required emergency bypass surgery (3.2%)
within 24 hours of the PTCA procedure.
|
Abrupt vessel closure occurred in 65 of 591 patients (11%). Abrupt vessel closure was associated with a filling defect in 11 patients (17%), dissection in 15 (23%), and both angiographic findings in 16 (25%). Established closure was seen in 42 patients (7.1%) and threatened closure in 23 patients (3.9%). Strategies for managing abrupt vessel closure included repeat coronary angioplasty (18 patients), intracoronary stenting (11 patients), prolonged inflation with a perfusion balloon catheter (15 patients), or intracoronary thrombolytic therapy (18 patients). Major complications occurred in 34% of the patients with abrupt vessel closure versus 5.9% of patients without closure (P<.001). Established and threatened vessel closure both affected PTCA outcome: in the 42 patients with established closure, the major complication rate was 38% (OR=11.0 [5.30, 22.8]; P<.001), and in the 23 patients with threatened closure, the major complication rate was 17% (OR=2.9 [1.0, 8.6]; P=.05).
A total of 18 of 591
patients (3.1%) had a decrease in hemoglobin of
>5 g/dL or decrease in hematocrit of >15 points. Although 51 of 591
patients (8.6%) in this study required red cell transfusions, only 29
patients (4.9%) required transfusions for bleeding unrelated to bypass
surgery. These patients were treated either for a nadir hematocrit of
29 points (26 patients) or a decrease in hematocrit of
10 points (3
patients).
Predictors of Ischemic Complications
Ninety-one patients
(15.4%) experienced a major ischemic
complication, abrupt vessel closure, or both. Complications were found
to be associated with several baseline clinical and angiographic
variables on multivariable logistic regression analysis (Fig
1
). The presence of a filling defect before PTCA, as
detected in the core angiographic laboratory, increased the likelihood
of any complication (complication rate, 38.1%; OR, 3.1 [95%
confidence interval, 1.2, 8.4]; P=.02). Other variables
associated with an increased risk of major or minor complications
included multivessel coronary artery disease (complication rate,
19.8%; OR, 1.9 [1.1, 3.3]; P=.02), unstable angina
(complication rate, 18.4%; OR, 1.9 [1.1, 3.3];
P=.03),
lesion complexity (OR, 1.6 [1.1, 2.2] for an additional increase in
grade18 ; P=.01), and patient age (OR, 1.4
[1.1, 1.8] per additional decade; P=.002). Activated
clotting time (median value, 350 seconds; range, 280 to 1032 seconds),
female sex, and diabetes were not related to PTCA complications on
univariable analysis.
|
Length of Hospital Stay
Hospital stay after PTCA for the 591
patients ranged from 1 to 49
days (median, 2.0 days [25th, 75th percentiles, 2.0, 4.0]) and was
related to several baseline clinical variables (Table 1
).
Patients >65
years old had slightly longer hospital stays after PTCA than younger
patients (P=.02), women had longer stays than men
(P=.01), and patients with unstable angina
(P=.002) or postinfarction angina (P<.001) had
longer stays than patients with stable angina. Baseline angiographic
variables were also related to length of stay after PTCA. Multilesion
angioplasty was associated with a longer length of stay than
single-lesion procedures (P=.02), and angioplasty for
complex lesions was associated with a longer length of stay than
procedures for simple lesions (P=.001).
The presence of intracoronary filling defects before PTCA was associated a threefold increase in length of stay after PTCA (P<.001). The excess length of stay in this group of patients was probably due to an increased incidence of complications and not due to elective, prolonged heparinization. The total amount of heparin used was similar for patients with and without filling defects (52 600±51 900 versus 37 200±38 900 U; P=NS), whereas the number of pretreatment hospital days was lower for patients undergoing PTCA for filling defects than for patients without this finding (0.0 [0.0, 3.0] versus 1.0 [0.0, 3.0]; P<.001).
Length of hospital stay was strongly affected by
PTCA outcome (Table 3
). Compared with a median length of stay
of 2.0 days (2.0, 4.0) for
500 patients after uncomplicated PTCA (Fig 2
), the
length of stay was 9.0 days (8.0, 18.0) for 19 patients requiring
emergency bypass surgery (P<.001), 8.0 days (6.0, 15.5) for
25 patients experiencing Q-wave or nonQ-wave myocardial infarction
(P<.001), and 6.0 days (3.0, 10.5) for 65 patients with
established or threatened abrupt vessel closure (P<.001).
The median length of stay for the 43 patients with abrupt vessel
closure but without major complication was 4.5 days (3.0, 6.0), which
was significantly increased over that for the patients without any
complication (P<.001).
|
The median length of stay for 29 patients (4.9%) requiring transfusion for vascular complications or blood loss unrelated to bypass surgery was 8.0 days (4.0, 12.0). Patients requiring transfusion in the absence of bypass surgery were more likely to have been treated with additional heparin (55 800±70 200 versus 36 500±36 400 U; P=.007).
The total length of hospital stay for the 591 patients ranged from 1 to 73 days (median, 4.0 days [3.0, 8.0]) and was influenced by PTCA outcome to a degree similar to that for postprocedural length of stay. All values for length of stay were skewed and significantly different from a normal distribution (P<.001).
Predictors of Length of Stay
On stepwise multiple linear
regression analysis, several
baseline clinical and angiographic variables were related to length of
stay (Table 4
). In the multivariable model, the average
influence of each variable on length of stay could be estimated by its
regression coefficient. Advanced age was associated with increased
length of stay after PTCA by 0.6±0.2 days per decade
(P=.002), unstable angina by 1.0±0.4 days
(P=.02), multivessel disease by 1.0±0.4 days
(P=.01), and filling defects by 2.5±1.0 days
(P=.02).
|
On stepwise linear regression analysis, length
of stay after PTCA
was observed to be strongly related to major and minor PTCA
complications (Table 5
). Major complications such as
emergency bypass surgery increased the length of stay after PTCA by
7.8±1.0 days (P<.001), and myocardial infarction increased
length of stay by 3.4±0.9 days (P<.001). Complications of
PTCA traditionally considered to be minor also increased length of stay
significantly. Transfusion unrelated to bypass surgery increased length
of stay by 4.8±0.8 days (P<.001), and abrupt vessel
closure increased length of stay by 3.0±0.7 days
(P<.001).
|
Combined Models for Length of Stay
Several linear regression
models were constructed to identify the
strongest predictors of excess length of stay from a combination of
baseline variables and PTCA complications. In these models, individual
clinical variables such as age, female sex, diabetes, unstable angina,
multivessel coronary artery disease, number of lesions treated, and
lesion complexity did not have a significant independent influence on
length of stay. No clinical or angiographic variable was associated
with increased length of stay of >1.0 day, whereas each major or minor
PTCA complication was associated with increases in length of stay
ranging from 2.9±0.9 days for abrupt closure to 9.6±1.1 days for
emergency bypass surgery. When logarithmic transformation of the
dependent variable (length of stay) was used in the stepwise multiple
linear regression analysis, the results were similar with the
exception that death was no longer significantly associated with
increased length of stay (P=.21), but multivessel disease
showed borderline association with increased length of stay
(P=.06). When total length of stay was used as the
untransformed dependent variable in the multivariable analyses, the
results were similar to those obtained for postprocedural length of
stay.
The interrelations among baseline variables, complications, and
length
of stay were explored further with the construction of a composite risk
score based on the presence or absence of unstable angina, multivessel
coronary artery disease, advanced age, and complex lesions. Patients
with three or four risk factors had a fivefold increased risk of major
complication, fourfold greater risk of transfusion, and twofold longer
hospitalization than patients with no risk factors (Table 6
).
When the presence or absence of unstable angina,
multivessel coronary artery disease, age >65 years, and complex
lesions was scored with a value of 1 or 0, a composite score ranging
from 0 for patients with no risk factors to a maximum value of 4 for
patients with all risk factors was established. In stepwise linear
regression analysis, in which the composite risk score replaced the
individual baseline risk factors, the strongest correlates of excess
length of stay were PTCA complications: emergency bypass surgery,
7.8±1.0 days (P<.001); death, 7.8±1.4 days
(P<.001); transfusion in the absence of bypass surgery,
4.6±0.8 days (P<.001); myocardial infarction,
3.2±0.9
days (P<.001); and abrupt vessel closure, 2.9±0.6 days
(P<.001). In the new model, the composite risk score was
also found to influence length of stay significantly, by 0.4±0.2 day
per risk factor (P=.01).
|
A linear regression model
containing a weighted composite risk score
based on the coefficients from logistic regression analysis
(unstable angina, 0.64; multivessel coronary artery disease, 0.64; age,
0.34 per decade; type C lesion, 0.88; type B lesion, 0.44; and lesion
with filling defect, 1.11) produced the strongest evidence of a
relation between baseline variables and length of stay after PTCA
(Table 7
). Although the strongest correlates of length
of stay in the model continued to be PTCA complications (each
associated with increases in length of stay of
3.0 days and
P<.001), the weighted composite risk score was associated
with an increase in length of stay of 0.7±0.2 day per risk factor
(P=.003). The standardized "unitless" coefficient
for
the weighted composite clinical risk score (0.11) approximated that for
acute myocardial infarction (0.13), suggesting that the presence of
several baseline risk factors in the same patient strongly predicted a
prolonged hospitalization after PTCA.
|
| Discussion |
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Patient Cohort
The relation between baseline clinical
variables and complications
in this study replicated the association between risk and PTCA outcome
reported in several
studies1 2 3 4 5 6 7
and established that the
patient cohort studied here was similar to that analyzed in other
reports. Patients in this study had a mean age of 61 years, which is
similar to the mean ages of 54 to 62 years in other
reports,4 6 12 30 a rate of
unstable angina (65%) similar
to that reported for patients undergoing balloon angioplasty in the
Coronary Angioplasty Versus Excisional Atherectomy Trial
(70%),12 and an incidence of multivessel disease (55%)
slightly greater than that reported in most studies (20% to
53%).4 6 12 30
Predictors of Complications
In this study, patients with
advanced age, multivessel coronary
artery disease, unstable angina, lesion complexity, and filling defects
were found to have increased rates of ischemic complications
and abrupt vessel closure. These results are in agreement with those
reported in several earlier studies, in which advanced
age,8 unstable angina,9 and complex lesion
morphology1 6 7 9 were
identified as the strongest
predictors of PTCA complications.
Predictors of Length of Hospital Stay
Patients in this study
were found to have a median length of stay
after PTCA of 2.0 days. When total length of hospital stay was used in
the multivariable analyses, similar results were seen. For this report,
we selected the length of stay after PTCA as the variable for
analysis because it can be compared more easily to several economic
analyses of patients admitted to the hospital on the day of their
elective angioplasty.10 11 Dick and
colleagues10 found that the mean length of stay for 149
elective patients admitted to the hospital on the day of treatment was
1.5 days after balloon angioplasty, 2.2 days after directional
atherectomy, and 4.9 days after stenting. Although it was observed that
stent placement and vascular complications increased the cost of
interventional procedures, the impact of baseline variables such as
unstable angina or procedural complications on costs or length of stay
were not directly assessed.10 In a detailed economic
analysis, Cohen and colleagues11 reported length of
stay and cost and charge data for patients undergoing balloon
angioplasty, directional atherectomy, stenting, and bypass surgery. In
113 patients admitted to the hospital on the day of elective balloon
angioplasty, the mean length of stay was 2.6 days. The mean length of
stay was similar for elective directional atherectomy (2.3 days), but
increased for both elective coronary stenting (5.5 days) and elective
bypass surgery (9.3 days).11 The investigators for the New
Approaches to Coronary Intervention registry31 recently
reported length-of-stay data for nonballoon devices in both elective
and unstable patients: the total lengths of stay for directional
atherectomy (3.0 days), laser angioplasty (3.0 days), rotational
atherectomy (4.0 days), and stent implantation (7.0 days) were similar
to those measured for balloon angioplasty in our study. These
investigators also observed that median length of stay approximately
doubled when devices were used in an unplanned mode (presumably as
salvage therapy) compared with elective planned use.31
In this study, abrupt vessel closure increased the median length of stay after PTCA to 6.0 days. Both established and threatened closure increased the likelihood of complications and length of stay. Although 34% of patients with abrupt vessel closure required prolonged hospitalization for myocardial infarction or bypass surgery, the remaining patients with uncomplicated abrupt vessel closure also required prolonged hospitalization. The increased length of stay for these patients involved additional observation, repeat angiography, and prolonged anticoagulation.
Another important finding in this study was that patients with vascular complications or blood loss requiring transfusion therapy, even in the absence of bypass surgery, had prolonged lengths of stay after angioplasty. For patients requiring transfusion, the prolonged length of stay was associated with increased heparin dosing, prolonged observation, and the time required for ordering, processing, and administration of red cell transfusions.
Several statistical models were developed in this study to identify the predictors of excess length of stay after PTCA. All models identified PTCA complications as the strongest predictors of excess length of stay, which overwhelmed the influence of several individual baseline characteristics. The development of the composite risk score, however, added statistical power to the prediction of excess length of stay from baseline characteristics, because the assessment of several baseline variables together represented the clinical risk profile more accurately than the analysis of each variable individually.
Filling Defects
Although the number of patients undergoing
PTCA for lesions
associated with filling defects in this study was relatively small,
this angiographic finding emerged as the strongest baseline predictor
of increased complications and excess length of stay after PTCA.
Because angioplasty performed early for patients with filling defects
may be associated with increased complication rates, angioplasty
delayed to a more propitious time after stabilization of the
ischemia-related stenosis with prolonged heparin and aspirin
may be associated with lower complication rates. This strategy has been
retrospectively evaluated in several studies. The procedural success
rate was higher (91% versus 81% success rate, P=.02) and
the abrupt closure rate lower (2% versus 8%, P<.01) for
patients with unstable angina who were treated with heparin for
24
hours before coronary angioplasty than for those patients who did not
receive heparin.32 Other investigators have observed a
trend toward improved outcome if angioplasty can be deferred for about
2 weeks after the onset of unstable angina.33 In a
prospective study, the clinical and angiographic outcome of 18 patients
with coronary thrombus undergoing angioplasty without heparin
pretreatment was compared with that of a group of 35 patients receiving
preprocedural heparin therapy.34 The untreated group had a
significant reduction in angiographic success (61% versus 94%,
P<.05) and a significant increase in immediate
postprocedural thrombotic arterial occlusion (33% versus 6%,
P<.05) compared with the group pretreated with heparin.
Thus, pretreatment with heparin for patients with filling defects may
be a safer, more cost-effective strategy than early PTCA without
pretreatment.
Limitations of the Study
Limitations of the study included
the use of length of stay as a
proxy for resource use. Hospital costs, hospital charges, and measures
of physician effort at each participating institution were not
available but would have provided a more direct index of resource use.
It is possible that certain patients in this study experienced a short
but intensive hospitalization associated with increased resource use,
which would have been missed by using length of stay as a surrogate for
resource use. On the other hand, direct measures of resource use such
as hospital costs or charges may have been difficult to normalize and
include in the analyses here, because such data would have been derived
from disparate payer systems affiliated with the health care systems in
two countries and in several different hospital settings, including
academic medical centers, community hospitals, and a Veterans
Administration hospital. Because a direct economic valuation of balloon
angioplasty was difficult to obtain for this analysis, length of
hospital stay was used as a reliable, easily measured surrogate for
resource use. It is unlikely, however, that use of length of stay as a
proxy for resource use exaggerated the relations reported in this
study, because all patients in this study were treated with the same
technology (balloon angioplasty). In addition, hospital costs and
length of stay were likely to be directly related, as has been reported
in several studies involving patients undergoing interventional
procedures.10 11 13 Also, the intensity
of resource
consumption (for example, intensive care or bypass surgery) for
patients with complications would have tended to exaggerate the
observed relations between length of stay and cost, as they have for
coronary artery bypass surgery.15 Although length of stay
was found to vary among the institutions in the study, this was
attributed to the intersite variability in PTCA complications, because
study site was not a significant predictor of length of stay in
multivariable analysis.
Another limitation of the study is the
potential problem of
sample-based multicollinearity in the regression
analysis,28 35 which may falsely weaken the relation
between baseline variables and length of stay. This problem arises
because baseline clinical variables were found to be correlated with
PTCA complications and both the baseline variables and PTCA
complications were evaluated together as correlates of length of stay.
Although it has been proposed that the problem of multicollinearity may
reduce the precision of the regression coefficients presented in
Tables 4
, 5
, and 7
, it does not
affect the relative weights of the
coefficients or the empirical interpretation of the overall regression
equation.35 The composite risk score was developed in an
effort to minimize the problem of multicollinearity affecting the
individual baseline variables.
Conclusions
Although patients with several baseline risk
factors such as
unstable angina, multivessel disease, age >65 years, and complex
lesions are at slightly increased risk for prolonged hospital stay
after PTCA, this analysis shows that acute PTCA complications such
as abrupt vessel closure, emergency surgery, myocardial infarction, and
blood loss requiring transfusion are the strongest determinants of
excess length of stay. These findings suggest that new approaches are
needed to refine patient selection for PTCA and reduce the incidence of
minor and major complications to decrease the length of hospitalization
after PTCA.
| Acknowledgments |
|---|
| Footnotes |
|---|
of Cardiology, Loyola University, Maywood, Ill (F.L.); Montreal Heart Institute, Montreal, Quebec (R.B.); Medical Research Service, McGuire VA Medical Center, Richmond, Va (J.S.); and Biogen, Inc, Cambridge, Mass (B.A.).
Received November 10, 1994; revision received January 17, 1995; accepted January 30, 1995.
| References |
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S. G. Ellis, N. Omoigui, J. A. Bittl, M. Lincoff, M. W. Wolfe, G. Howell, and E. J. Topol Analysis and Comparison of Operator-Specific Outcomes in Interventional Cardiology : From a Multicenter Database of 4860 Quality-Controlled Procedures Circulation, February 1, 1996; 93(3): 431 - 439. [Abstract] [Full Text] |
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J. A. Bittl, J. Strony, J. A. Brinker, W. H. Ahmed, C. R. Meckel, B. R. Chaitman, J. Maraganore, E. Deutsch, B. Adelman, and The Hirulog Angioplasty Study Investigators Treatment with Bivalirudin (Hirulog) as Compared with Heparin during Coronary Angioplasty for Unstable or Postinfarction Angina N. Engl. J. Med., September 21, 1995; 333(12): 764 - 769. [Abstract] [Full Text] [PDF] |
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