(Circulation. 2000;102:2973.)
© 2000 American Heart Association, Inc.
Clinical Investigation and Reports |
From the Departments of Surgery, Medicine, Community and Family Medicine, and the Center for the Evaluative and Clinical Sciences (J.Y.L., N.J.O.B., J.H.S., H.F.H., R.W.D., A.W.D., G.T.O.), Dartmouth-Hitchcock Medical Center, Lebanon, NH; the Department of Surgery (J.R.M.), Maine Medical Center, Portland; the Department of Surgery (S.J.L.), Beth Israel-Deaconess Medical Center, Boston, Mass; the Department of Surgery (C.M.), Optima Health (Catholic Medical Center), Manchester, NH; the Department of Surgery (R.C.), Eastern Maine Medical Center, Bangor, Maine; and the Department of Surgery (B.J.L.), Fletcher-Allen Health Care, Burlington, Vt.
| Abstract |
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Methods and ResultsWe conducted a regional prospective cohort study of 15 500 consecutive patients undergoing CABG in northern New England from 1992 to 1997. We used multiple logistic regression analysis to examine associations between preoperative dialysis-dependent renal failure and postoperative events and to adjust for potentially confounding variables. The 279 dialysis-dependent renal failure patients (1.8%) were 4.4 times more likely to experience in-hospital mortality than were other CABG patients (12.2% versus 3.0%, respectively; P<0.001). Dialysis-dependent renal failure patients were older and had more comorbidities and more severe cardiac disease than did other CABG patients. After adjusting for these factors in multivariate analysis, however, dialysis-dependent renal failure patients remained 3.1 times more likely to die after CABG (adjusted odds ratio [OR] 3.1, 95% CI 2.1 to 4.7; P<0.001). Dialysis-dependent renal failure patients compared with other CABG patients also had a substantially increased risk of postoperative mediastinitis (3.6% versus 1.2%, respectively; adjusted OR 2.4, 95% CI 1.2 to 4.7; P=0.011) and postoperative stroke (4.3% versus 1.7%, respectively; adjusted OR 2.1, 95% CI 1.1 to 3.9; P=0.016), even after controlling for potentially confounding variables. Risks of reexploration for bleeding were similar for patients with and without dialysis-dependent renal failure.
ConclusionsPreoperative dialysis-dependent renal failure is a strong independent risk factor for in-hospital mortality and mediastinitis after CABG.
Key Words: kidney mortality morbidity bypass
| Introduction |
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Despite the increasing use of CABG among dialysis-dependent renal failure patients, procedure-related risks in this population are not well understood. A number of studies have identified indicators of preoperative impaired renal function as risk factors for mortality8 9 10 11 12 and morbidity11 12 13 14 15 with CABG. However, prior studies specifically assessing patient characteristics and perioperative risks among patients with dialysis-dependent renal failure have been small single-institution case series.2 3 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
We conducted a regional cohort study of 15 550 patients undergoing CABG in northern New England from 1992 to 1997 to clarify the association between dialysis-dependent renal failure and in-hospital morbidity and mortality with CABG.
| Methods |
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Data Collection
The following data were recorded prospectively
for all patients: age, sex, height, weight, cardiac
catheterization results (degree of left main
coronary artery stenosis, total number of significantly
diseased coronary arteries, left ventricular
end-diastolic pressure, and ejection fraction), prior
cardiac surgery (CABG, PTCA, or valve procedure), PTCA during the
current admission, unstable angina during the current admission, prior
myocardial infarction, comorbidities (diabetes, peripheral
vascular disease, renal failure, chronic obstructive pulmonary
disease, congestive heart failure, cancers, and liver disease),
ischemia treatment factors (preoperative intra-aortic balloon
pump, preoperative intravenous
nitroglycerin therapy, and preoperative
thrombolytic therapy), priority of surgery (emergent,
urgent, or elective), and in-hospital outcomes (status at hospital
discharge [dead or alive], intraoperative or postoperative stroke
[yes or no], reoperation for bleeding [yes or no], and sternal
wound infection [yes or no]).
Cardiac catheterizations were performed by use of standard methods during the course of regular clinical care. The number of diseased coronary vessels was assessed by use of criteria established by the National Heart, Lung, and Blood Institute Coronary Artery Surgery Study.32 Priority of surgery was assessed by the cardiothoracic surgeons and is defined as follows: "emergency" means that medical factors relating to the patients cardiac disease dictate that surgery should be performed within hours to prevent morbidity or death, "urgent" means that medical factors require that the patient remain in the hospital before surgery, and "elective" means that medical factors indicate the need for operation, but the clinical situation allows discharge from the hospital with readmission for surgery at a later date.
Dialysis-dependent renal failure, defined by the preoperative use of hemodialysis or peritoneal dialysis, was determined prospectively. Patients in whom dialysis was initiated after surgery were included in the other CABG population, not in the dialysis-dependent renal failure group.
Postoperative bleeding was defined as bleeding that required surgical reexploration after initial departure from the operating room. Postoperative stroke was defined as a new neurological event occurring postoperatively that persisted for >24 hours after its onset and was noted before discharge. Mediastinitis was defined as a sternal infection requiring antibiotics and return to the operating room for sternal debridement.
Analysis
Candidate predictor variables were selected from
the core variables (age, sex, previous heart operation, left
ventricular ejection fraction, percent stenosis of
the left main coronary artery, number of major coronary
arteries with stenosis >70%, and priority of surgery), level
I variables (height, weight, PTCA on current admission, date of
most recent myocardial infarction, angina history [including use of
preoperative intra-aortic balloon pump, nitroglycerin,
and thrombolytics], congestive heart failure, and
chronic obstructive pulmonary disease), and available level II
variables (left ventricular end-diastolic
pressure, liver disease, and malignancy), which are suggested for risk
adjustment of in-hospital CABG outcomes by Jones et
al33 and the American College
of Cardiology/American Heart Association practice
guidelines.34 Core
variables have been shown to be unequivocally related to operative
mortality. Level I variables are likely related to short-term CABG
mortality, and level II variables are not clearly shown to relate
to short-term CABG mortality but are thought to be of research
interest. In our multivariate analyses, we did
not include the level I variables that are potentially in the
causal pathway between renal failure and adverse outcomes of CABG,
including diabetes, peripheral vascular disease, and
creatinine. In addition, serious ventricular
arrhythmias and mitral regurgitation are level
I variables that were not included in our analysis because
they are not available in our CABG data registry.
Univariate analyses involving
2 tests for categorical variables and
t tests for continuous
variables were performed to assess the statistical significance of
observed differences in patient characteristics between patients with
and without dialysis-dependent renal
failure.35 We used logistic
regression analysis to assess the effect of dialysis-dependent
renal failure on each outcome (expressed in terms of odds ratios
[ORs], which approximate relative risk) after adjustment for
potentially confounding
variables.36 The C
statistic (equivalent to the area under the receiver operating
characteristic curve) and the Lemeshow-Hosmer goodness of fit
statistic36 were
calculated to assess the performance and calibration of each
model, respectively. Analysis was performed by use of Stata
release 5.0
software.37
| Results |
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Patient Outcomes
The incidence of in-hospital mortality after CABG
surgery was 12.2% in the dialysis-dependent renal failure population
and 3.0% in the other CABG patients
(P<0.001). Mediastinitis
developed in 3.6% of the dialysis-dependent renal failure patients
versus 1.2% of the other CABG patients
(P<0.001). Stroke was observed
in 4.3% of the dialysis-dependent renal failure patients and 1.7% of
the other CABG patients
(P=0.001). Dialysis-dependent
renal failure patients had higher rates of return to the operating room
for bleeding than did other CABG patients (3.6% versus 2.9%), but
this difference was not statistically significant
(P=0.478).
The results from both univariate and
multivariate logistic models are presented in
Table 2
. Dialysis-dependent renal failure patients were 4.4
times more likely to experience in-hospital mortality than were the
other CABG patients (OR 4.4, 95% CI 3.0 to 6.4;
P<0.001). After adjusting for
confounding variables, dialysis remained an important predictor of
in-hospital mortality with an OR of 3.1 (95% CI 2.1 to 4.7,
P<0.001). After adjustment was
made for confounding variables, dialysis-dependent renal failure
patients still had a 2.4 times higher rate of mediastinitis compared
with the nondialysis CABG population (OR 2.4, 95% CI 1.2 to 4.7;
P=0.011). Similarly, dialysis
patients compared with nondialysis CABG patients were 2.1 times more
likely to suffer a stroke after adjustment was made for confounding
variables (OR 2.1, 95% CI 1.1 to 3.9;
P=0.016) Dialysis-dependent
renal failure was not significantly associated with increased risk of
reexploration for bleeding in either univariate
analysis (OR 1.3, 95% CI 0.67 to 2.4;
P=0.478) or
multivariate analysis (OR 1.3, 95% CI 0.69 to
2.5; P=0.4.1).
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Adjusted outcome rates are compared for dialysis and
nondialysis patients in the
Figure
.
The adjusted in-hospital mortality rate is 9.6% for dialysis-dependent
renal failure patients versus 3.1% for other CABG patients
(P<0.001). With regard to
mediastinitis, the dialysis-dependent renal failure patients had an
adjusted rate of 3.1% compared with 1.2% for nondialysis CABG
patients (P=0.011). The
difference in adjusted stroke rate between dialysis and nondialysis
patients was significant (3.7% versus 1.7%,
P=0.016). Adjusted rates for
bleeding were similar for dialysis-dependent renal failure patients and
nondialysis patients (3.8% versus 2.9%,
P=0.401).
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| Discussion |
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A number of studies have identified indicators of preoperative impaired renal function as risk factors for mortality8 9 10 11 12 and morbidity11 12 13 14 15 with CABG. In a prior study from this group, preexisting renal failure was present in 1.2% of patients undergoing CABG and was associated with 5.2 times greater risk of in-hospital mortality.8 In the Veterans Administration Risk Assessment Study for Cardiac Surgery, preoperative creatinine levels were positively associated with risks of mortality in univariate analysis10 and with complications in multivariate analysis.13 A more recent study in the VA population found that mild renal failure (serum creatinine >1.5 mg/dL) was associated with 30-day mortality, postoperative bleeding, and ventilatory complications in multivariate analyses.12 A retrospective analysis of patients undergoing CABG at the Cleveland Clinic found that patients with preoperative serum creatinine levels >168 µmol/L had higher perioperative morbidity (OR 2.8) and mortality (OR 3.7) in multivariate analysis.11 Similar to the results of the present study, preoperative dialysis dependence was independently associated with an increased risk of in-hospital mortality (OR 3.2) among CABG patients in New York State.9 Another study from the state of New York identified renal failure (creatinine >2.5 mg/dL or on dialysis) as an independent risk factor for postoperative stroke (OR 2.0).15 Chronic renal failure has also been linked to higher rates of morbidity and mortality in numerous case series.2 3 14 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
A number of theories about the mechanisms for increased morbidity and mortality among renal failure patients undergoing surgery have been proposed. Dialysis-dependent renal failure patients are an immune compromised population, and this may contribute to their increased risk of postoperative infection. For example, dialysis-dependent renal failure patients have a higher wound infection rate after lower extremity bypass.38 Whether increased infection rates are due to uremia, diabetes, steroid use secondary to autoimmune causes of renal failure, and other variables that are known to increase the risk of infection is unknown. Dialysis patients are also chronically anemic from the loss of erythropoietin production by the kidneys,39 40 and anemia has been shown to be associated with increased risks of mortality among CABG patients.41 Platelet dysfunction and coagulation defects from uremia are cited as mechanisms for increased bleeding among patients on dialysis,23 and renal failure may serve as a marker for generalized arteriosclerosis predisposing to thromboembolic events and stroke,15 as well as to less adequate revascularization and the development of postoperative low-output syndrome.3
It is important to consider both the strengths and limitations of the present study. The strengths of our study include prospective data collection on a regional level such that biases in the collection of data or selection of study participants should not be limitations. Random misclassification of the primary exposure variable (dialysis dependence) is unlikely but would only result in an underestimate of the true relationship between dialysis-dependent renal failure and adverse outcomes if it occurred. The present study had adequate power to detect the differences between dialysis and nondialysis patients in the occurrence of adverse events while controlling for confounding variables due to the large size of the study population. In addition, our data registry contained detailed information from which to base risk-adjustment models. These models were well calibrated and had reasonable performance characteristics, so confounding by patient case mix should also not be a serious concern. Although some residual confounding from unmeasured or inaccurately recorded variables is likely, it is implausible that differences of the magnitude noted herein are completely explained by this cause. For this to be responsible for the entire effect observed, the confounder(s) would have to be a strong predictor(s) of outcome, substantially uncorrelated with known predictors that were considered, and unequally distributed among dialysis and nondialysis patients.
Dialysis-dependent renal failure patients are in general older and burdened with more comorbidities than are other patients undergoing CABG. They are at an increased risk for mortality, mediastinitis, and stroke. However, we have found no significant increase in rates of return to the operating room for bleeding among dialysis-dependent renal failure patients after adjustment for potentially confounding variables. These results should be considered when discussing surgical risks with dialysis-dependent renal failure patients.
| Footnotes |
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The views expressed herein do not necessarily represent those of the Department of Veterans Affairs or the US government.
Received March 17, 2000; revision received July 18, 2000; accepted July 31, 2000.
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