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*Coronary Artery Bypass Surgery

(Circulation. 1998;97:673-680.)
© 1998 American Heart Association, Inc.


Clinical Investigation and Reports

Fifteen-Year Trends in Risk Severity and Operative Mortality in Elderly Patients Undergoing Coronary Artery Bypass Graft Surgery

Joan Ivanov, RN, MSc; Richard D. Weisel, MD; Tirone E. David, MD; ; C. David Naylor, MD, DPhil

From the Division of Cardiovascular Surgery (J.I., R.D.W., T.E.D.), The Toronto Hospital, Toronto Ontario; The Institute for Clinical Evaluative Sciences (C.D.N.), North York, Ontario; The University of Toronto (J.I., R.D.W., T.E.D., C.D.N.), Toronto, Ontario; and The Clinical Epidemiology and Health Services Research Program (C.D.N.), Sunnybrook Health Science Centre, North York, Ontario, Canada.

Correspondence to Dr C. David Naylor, Institute for Clinical Evaluative Sciences, G106–2075 Bayview Ave, North York, Ontario, Canada M4N 3M5. E-mail cdn{at}ices.on.ca


*    Abstract
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*Abstract
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down arrowResults
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Background—Trends in risk-severity and operative mortality (OM) were examined in 3330 consecutive patients aged 70 years and older who underwent isolated coronary artery bypass graft surgery (CABG) between 1982 and 1996.

Methods and Results—The proportion of elderly patients rose significantly over time (P<.001). Crude OM among the elderly was 7.2% in 1982 to 1986, fell to 4.4% in 1987 to 1991, but did not improve thereafter. Logistic regression analysis of OM was used to construct relative risk groups (low, medium, or high). The prevalence of high-risk elderly patients rose significantly over time (P=.001) from 16.2% in 1982 to 1986 to 19.5% in 1987 to 1991 and 26.9% in 1992 to 1996. OM in high-risk patients fell significantly (P=.044) from 17.2% in 1982 to 1986 to 9.1% in 1987 to 1991 and was 8.9% in 1992 to 1996. Contemporary independent predictors of OM among elderly patients were poor ventricular function (LV grade 2 to 3, odds ratio [OR], 2.6; 95% confidence interval [CI], 1.3 to 5.2; and LV grade 4, OR, 10.7; 95% CI, 4.4 to 26); previous CABG (OR, 3.7; 95% CI, 2.0 to 7.0), female sex (OR, 1.8; 95% CI, 1.1 to 2.8), peripheral vascular disease (OR, 1.8; 95% CI, 1.1 to 2.8), and diabetes (OR, 1.7; 95% CI, 1.1 to 2.7). Previous angioplasty was protective (OR, 0.3; 95% CI, 0.1 to 0.9).

Conclusions—OM in elderly patients has declined significantly in recent years despite an increase in the prevalence and severity of their risk factors. A careful weighing of risk, rather than advanced age alone, should determine who is offered surgical revascularization. In this regard, poor ventricular function and repeat CABG continue to have the greatest impact on OM in elderly patients.


Key Words: risk factors • bypass • coronary disease • mortality • surgery


*    Introduction
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up arrowAbstract
*Introduction
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down arrowResults
down arrowDiscussion
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The elderly compose the fastest growing segment of North American society, and the greatest increases in numbers are in the oldest group (ie, persons >=85 years old).1 2 3 4 Increasing numbers of elderly patients now undergo CABG.3 5 6 Indeed, over the past 20 years, the definition of "elderly" in the literature on cardiac surgical outcomes has gradually increased from persons >=65 to those >=80 years old.5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 This shift reflects reductions in the risks of surgery arising from improvements in technology, skills, and patient selection.1 4 5 9 10 11 15 23 24

In Ontario, Canada's most populous province, the population-based utilization of CABG since 1985 has doubled among persons aged 65 to 74 years, and population-based service rates more than tripled among persons aged >=75 years.25 Despite these trends, the 1993 CABG service rate in Ontario was about half that of New York State for patients aged 65 to 74 and only one third the New York rate for those >=75 years of age.26 New York, in turn, is at the low end of the US range for population-based CABG rates.

Although there have been no randomized trials comparing the efficacy of surgery with that of medical therapy for ischemic heart disease in a targeted group of elderly patients, the lower rates of service among elderly Ontarians do raise questions about whether some patients are being denied procedures that may improve their quality of life. Stason et al27 suggested that the elderly tend to value improved quality of life more highly than prolonged longevity. Furthermore, several studies have reported improved quality of life in elderly patients who underwent CABG.13 17 28 29 30 However, if the vital risk of surgery is large, then the risk-benefit ratio may be tipped toward medical therapy for the elderly.

We have accordingly examined the trends in postoperative mortality among elderly Ontarians undergoing CABG at Canada's largest teaching hospital. Multivariate methods have been used to calculate risk-adjusted outcomes, thereby creating a "level playing field" for temporal comparisons of outcomes. More specifically, we report on (1) the temporal changes in the prevalence of elderly patients (>=70 years of age) undergoing CABG over a 15-year period in Toronto, (2) the risk-adjusted temporal changes in clinical severity and in-hospital OM among these subjects, and (3) the contemporary predictors of postoperative mortality in a 1991-to-1996 cohort of elderly patients undergoing CABG.


*    Methods
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*Methods
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Data Source
Clinical, operative, and outcome data were collected prospectively in a computerized database for 19 009 consecutive patients undergoing isolated CABG between January 1, 1982, and December 31, 1996, at The Toronto Hospital (formerly the Toronto Western and Toronto General Hospitals). Patients undergoing valve, congenital, aortic root, ventricular aneurysm repair, transplantation, ventricular mapping, etc were excluded from this study.

Outcome and Explanatory Variables
The outcome of interest for this study is OM, which is defined as any postoperative, in-hospital death.

Core baseline explanatory variables collected since the inception of the database in 1982 included age, sex, LV grade (1, EF >60%; 2, EF 40% to 60%; 3, EF 20% to 39%; 4, EF <20%), previous CABG, urgency of surgery (elective, semiurgent, surgery during the same admission as a cardiac catheterization or cardiac event; emergent, surgery within 12 hours of a cardiac catheterization or cardiac event), number of diseased coronary arteries, presence of a significant stenosis (>50% by visual evaluation of the cineangiogram) of the left main coronary artery, severity of angina, and New York Heart Association functional class.

In 1990, the database was expanded to more fully characterize our patients by adding information such as recent myocardial infarction, diabetes, peripheral vascular disease, previous angioplasty or stent, history of hypertension, renal failure (dialysis), preoperative stroke or transient ischemic attack, body size, and chronic obstructive lung disease, among others.. Details of this database have been published elsewhere.31

Analysis
Data were collected and managed in dBASE IV datasets. The SAS for PC32 and BMDP/DYN LR33 programs were used for statistical analyses. The {chi}2 or Fisher's exact tests were used to evaluate categorical data univariately. Multivariate logistic regression methods were used to calculate risk-adjusted mortality and calculate factor-adjusted odds ratios. Model discrimination was evaluated by the area under the ROC curve,34 35 and the calibration was assessed with the Hosmer-Lemeshow goodness-of-fit statistic.36 For goodness-of-fit, the null hypothesis is that the model fits the data. Therefore, a nonsignificant P value is desired because P<.05 would indicate a poor fit between predicted and observed results.

Evaluation of Temporal Trends
Rather than build a complex model to assess the temporal trends in incidence, risk profiles, and outcomes of elderly versus nonelderly patients, we used a simpler approach based on risk stratification and contingency tables, as outlined below.

The data before 1990 lacked the full range of potential predictors of postoperative mortality. Thus, any temporal comparative analysis required a simple predictive rule that included only key predictors. To this end, we started from the previously-validated predictive algorithm developed by Tu and colleagues37 as a template. That algorithm was designed for both valve surgery and CABG and therefore included type of surgery (isolated CABG, isolated valve, or valve plus CABG) as a variable. Other validated models for predicting isolated CABG outcomes have included left mainstem disease as a prognostic variable; hence this item was added to the model instead of type of surgery.

To recalibrate the resulting six-variable algorithm for this one-center temporal analysis, we performed a logistic regression analysis in the entire 1982-to-1996 cohort of patients. The resulting adjusted odds ratios for six explanatory variables—age (<65, 65 to 74, >=75), sex, previous CABG, urgency of surgery, LV dysfunction (LV grade 2 to 3, LV grade 4), and left main coronary artery disease—were rounded as in the algorithm of Tu et al. These rounded odds ratios served as risk weights for each level of the predictor variables. A risk score for each patient was calculated by summing the risk weights for the variables that described the patient's baseline characteristics. Observed mortality, determined by frequency analysis, for each risk score was used to construct relative risk groups (eg, low, medium, or high).

Next, data from 15 years were divided into three 5-year time cohorts based on date of operation: 1982 to 1986, 1987 to 1991, and 1992 to 1996. Patients were further divided into a younger cohort (<70 years) and an elderly cohort (>=70 years). This allowed us to use contingency table analysis to evaluate changes in the prevalence of elderly patients, their risk factors, and OM over time and among the three risk groups.

As a complementary method, logistic regression analysis for OM was performed solely for the elderly cohort (1982 to 1996). This allowed us to generate elderly-specific odds ratios for the six explanatory variables, as well as the risk reduction in OM associated with time after adjustment for those variables.

Contemporary Predictors of OM
In the final step of the analysis, we focused on the cohort of elderly patients undergoing CABG between 1991 and 1996, a group that was better characterized with additional data as outlined above. This enabled us to determine the contemporary predictors of OM as contrasted to the six core explanatory variables used for the temporal trend analysis. The following variables were tested by {chi}2 analysis for their univariate association with OM: diabetes, peripheral vascular disease, history of hypertension, previous angioplasty/stent, renal failure, New York Heart Association class, recent preoperative myocardial infarction, preoperative stroke/transient ischemic attack, number of diseased vessels, severity of angina, and body size. We included all variables with a value of P<.20, as well as those found to be clinically important in other models38 regardless of whether they met the critical {alpha} level for inclusion. These variables were submitted for consideration to a stepwise logistic regression analysis using forward selection combined with backward elimination. The best model was determined by two criteria: the area under the ROC curve, and the Hosmer-Lemeshow statistic. Because of the limited number of events, we did not undertake split-sample methods to validate the model. Such validation would in any case confirm the model's applicability in our setting but not prove generalizability to other centers. Thus, we simply present this set of predictors for information and as a hypothesis for consideration and validation by others.


*    Results
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up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
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Knowledge to Date
Table 1Down presents 18 reports retrieved from a Medline search that demonstrate the changing definition of "elderly" and the range of OM (5% to 20%) reported for isolated CABG over the past 20 years.


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Table 1. Incidence and Outcomes of CABG in the Elderly: Changing Profile of Cohort Studies in the Literature

Generalizability
All 19 009 consecutive patients undergoing isolated CABG at The Toronto Hospital between January 1, 1982, and December 31, 1996, were examined. As noted, the core variables for this study were age, sex, LV grade, previous CABG, urgency of surgery, and left main disease. There were 346 patients with one or more of these data elements missing, making the database 98.2% complete for core information.

Increasing Prevalence of Elderly CABG Patients
There were 15 679 (OM=2.2%) patients under the age of 70 years who underwent CABG between 1982 and 1996. "Elderly" was defined as those patients >=70 years of age at the time of surgery (3330, OM=4.95%). Fig 1Down demonstrates the yearly increase in the prevalence of those patients aged 70 to 74 (top) and those >=75 (bottom) over the 15 years of this study. Both groups increased significantly over time (P<.001). The absolute numbers for patients under 70 remained fairly stable for each 5-year time cohort ({approx}5300), but the number of elderly patients almost tripled from 593 in the 1982-to-1986 cohort to 1726 in the 1992-to-1996 group.



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Figure 1. Significant increase in the prevalence of elderly patients undergoing isolated CABG at The Toronto Hospital between 1982 and 1996. The temporal change was significant (P<.001) for those those aged 70 to 74 years and those aged >=75 years.

Changing Risk Severity and OM
There was a 34% overall relative risk reduction in the OM rate (all patients) from 1982 to 1986 (OM=3.52%) to the following time cohorts (OM=2.34% for both 1987-to-1991 and 1992-to-1996 cohorts).

The predictive rule, recalibrated in the 1982-to-1996 dataset of 19 009 patients, had a ROC area of 0.70 and a Hosmer-Lemeshow p-value of 0.53. Table 2Down shows the risk weights for each level of the prognostic variables derived from the rounded odds ratios and the cutpoints of the total risk score used to define the relative risk groups.


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Table 2. Odds Ratios, 95% CI, and Corresponding Risk Weights From Logistic Regression Analysis of 19 009 Patients Undergoing Isolated CABG Between 1982 and 1996

Table 3Down shows the prevalence of individual risk factors as well as the changing distribution of overall risk severity. Combined prevalence of medium- and high-risk patients increased significantly (P<.001) over time for those patients over and under 70 years of age (Fig 2Down).


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Table 3. Distribution of Risk Factors for 19 009 Patients Undergoing Isolated CABG Between 1982 and 1996 at the Toronto Hospital



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Figure 2. Top, Prevalence of high-risk elderly patients increased significantly (P<.001) over time. Bottom, OM decreased significantly (P<.05 over time for both medium- and high-risk elderly patients.

Overall mortality and risk group–specific mortality data are presented in Table 4Down and Fig 2Up. Significantly positive trends are seen for medium- and high-risk patients and for most, albeit not all, risk factor subgroups in the nonelderly and elderly. Age-specific mortality improved significantly for persons <70 years of age. Even larger absolute improvements were seen among persons aged 70 to 74 and >=75 years. However, these did not reach significance due to smaller sample sizes. We accordingly turned to the overall logistic regression model for the elderly because this would allow us to factor in the temporal increases in severity.


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Table 4. Distribution of Outcomes for 19 009 Patients Undergoing Isolated CABG Between 1982 and 1996 at the Toronto Hospital

For the overall logistic regression, we set aside the risk scores based on rounded odds ratios and used the ß-coefficients, calculating exact adjusted odds ratios and related CIs for all explanatory factors. Among 3330 elderly patients operated on between 1982 and 1996, there were 165 deaths. Compared with 1982 to 1986, operations in 1986 to 1991 and 1992 to 1996 were each associated with a significant {approx}50% reduction in relative odds of death (Table 5Down). Adjusted odds ratios and their 95% CIs for all core risk factors are also shown in Table 5Down. Predictive accuracy measured by the area under the ROC curve was 0.69, and precision, measured by the Hosmer-Lemeshow goodness-of-fit statistic was 0.232.


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Table 5. Logistic Regression of 3330 Elderly Patients Undergoing CABG Between 1982 and 1996 at the Toronto Hospital

Contemporary Predictors of OM in the Elderly
There were 2002 elderly patients (>=70 years old) who underwent isolated CABG between 1991 and 1996. OM was 4.6% in this group (n=92). The six core variables—age, (70 to 74 years or >=75 years) sex, previous CABG, LV grade (1, 2 or 3, or 4) timing of surgery (elective, semiurgent, or emergent), and left main disease (>50% stenosis)—were submitted to a logistic regression analysis along with the following additional variables: diabetes, peripheral vascular disease, history of hypertension, previous angioplasty/stent, renal failure, New York Heart Association class, recent preoperative myocardial infarction, preoperative stroke/transient ischemic attack, number of diseased vessels, severity of angina, and body size. The contemporary, independent, multivariate predictors of OM are contained in Table 6Down. Particularly interesting is a risk reduction associated with previous angioplasty/stent. The Hosmer-Lemeshow goodness-of-fit was 0.932, and the area under the ROC curve was 0.713.


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Table 6. Logistic Regression of Contemporary Elderly Patients (1991 to 1996)


*    Discussion
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up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
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Although advancing age remains a consistent predictor of OM after isolated CABG, a variety of reports in the literature have demonstrated that elderly patients previously thought to be at very high risk for adverse events can now undergo this beneficial procedure with acceptable postoperative risk.1 4 5 9 10 11 12 15 23 24 Many of these reports have been limited, however, either by not providing a long-term perspective on outcome trends among the elderly or by not incorporating risk-adjustment algorithms that take into account the temporal shifts in risk profiles among patients receiving CABG. In the latter respect, statistical power has been a problem for many reports of CABG in the elderly, with the obvious exception of the study by Hannan et al.18 Given the current convention that there should be >=10 outcome events for every explanatory variable in an outcomes-prediction model,39 many studies have sample sizes that permit only two or three variables to be considered adequately for risk-adjustment purposes.

Our analysis has provided a 15-year perspective on 19 009 consecutive isolated CABG procedures at Canada's largest hospital, and includes >3300 patients aged >=70 years. We used a previously validated predictive rule37 as a template for risk adjustment, added an additional explanatory variable (left main disease), and recalibrated the rule across the entire 15-year dataset to create a more level playing field for temporal comparisons of risk factor profiles and outcomes. Our findings confirm that there has been not only a time-related increase in the prevalence of older patients undergoing isolated CABG at our center but also an increase in the severity of the preoperative risk profile of those patients. However, risk-adjusted OM has decreased significantly for elderly patients. The current overall mortality rate for elderly patients is <5% and only 3% for low- and medium-risk patients.

Given the enthusiasm for outcomes "scorecards," it is also noteworthy that an improvement in outcomes was already evident in the 1987-to-1991 period for both older and younger patients. This occurred well before the current program of systematic outcomes monitoring was embarked on in Ontario, as described elsewhere.40

Because patients' characteristics were not as exhaustively documented in earlier as in later years, we cannot absolutely rule out the possibility that the recent improvements in outcomes are partly an epiphenomenon of unmeasured changes in case selection. However, the model for mortality of elderly patients between 1982 and 1996 had an ROC curve area similar (0.69 versus 0.71) to that for elderly patients in the 1991-to-1996 model, which drew on additional risk factor data, and the trends to inclusion of higher-risk elderly patients are temporally consistent. Therefore, it is exceedingly unlikely that our findings are explained by unmeasured changes in patient characteristics working in the opposite direction, that is, toward lower-risk case selection.

Another hypothetical confounder is declining length of stay. Because patients in recent years would be discharged earlier, some who might otherwise have died in hospital would die at home and not be counted. However, this also is an implausible explanation for the observed trends. The mortality decrement was already evident for the 1987-to-1991 period, which antedates the contemporary move to much shorter lengths of stay after CABG. Second, postoperative stays among the elderly undergoing CABG remain relatively long; for our 1992-to-1996 cohort, the mean was 11.3 days (95% CI, 10.8, 11.8). Third, we have tracked patients after discharge in a major randomized trial.41 Deaths occurring between discharge and 30 days from the date of surgery were uncommon; >95% of deaths occurred on the index admission. Thus, any minor decrements in lengths of stay occurring from 1982 through 1986 to 1987 through 1991 are most unlikely to account for the dramatic decline in postoperative mortality observed in the same period.

The reasons for the improved outcomes nevertheless remain speculative. Possible factors include better myocardial protection during surgery (eg, by use of blood rather than crystalloid cardioplegia or warm/tepid rather than cold cardioplegia temperatures), greater use of left internal thoracic artery conduits, and improved cardiovascular anesthetic techniques. For that matter, most centers reporting temporal trends in overall CABG outcomes have noted improvements over the past decade. We found no evidence for further significant changes in outcomes for 1992 to 1996. However, ongoing improvements may be masked by the increasing prevalence of high-risk patients who are incompletely characterized by the simplified risk-adjustment algorithm used for the 15-year trend analysis.

Analysis of the 1982-to-1996 dataset obviously was not ideal for delineating predictors in current practice for two reasons. First, a richer set of variables did not become available until 1990; and second, as noted above, outcomes have been improving over time. Thus, to determine the contemporary predictors of OM in the elderly, a logistic regression analysis was performed on a database of 2002 well characterized elderly patients undergoing CABG between 1991 and 1996. Strong risk factors were presence of a grade 4 ventricle (odds ratio, 10.7; 95% CI, 4.4 to 26) or previous CABG (odds ratio, 3.73; 95% CI, 2.0 to 7.0). Some expected predictors—such as age of >=75 years, urgent/emergent surgery, renal failure, number of diseased vessels, presence of left mainstem disease, or recent preoperative myocardial infarction—fell out of the final model. This is partly a function of statistical power, but it is instructive that other predictors, such as diabetes and peripheral vascular disease, took precedence in the risk-adjustment algorithm.

The protective effect of previous angioplasty/stenting in the algorithm is strikingly large. This finding is almost counterintuitive because one would expect individuals at higher risk from CABG to be more likely to undergo angioplasty as a temporizing measure, rather than proceeding directly to open heart surgery. There are two plausible explanations for the effect, which are not mutually exclusive. The first is that previous angioplasty/stenting is directly protective by reducing one or more of the critical coronary arterial stenoses before CABG. The second is that the prior occurrence of angioplasty/stenting is actually a proxy for less extensive or severe coronary atherosclerosis, independent of the number of diseased vessels. In the latter scenario, patients with a limited number of discrete lesions would be more likely to undergo a prior angioplasty than those with diffuse atheroma and distal vessel involvement.

Limitations of this analysis are those that apply in any observational outcomes analysis. First, miscoding of key risk factors is always a concern. The database in question is very well established and subject to systematic logic and range checks. Definitions for risk factors have remained unchanged since 1982 in some cases and since 1990 for those factors added later. Furthermore, the data are subject to random audits, which have consistently shown raw interabstractor agreement on major variables to be >98%. The dataset also is acceptably complete in terms of core variable information, with only 1.8% of patients missing one or more key data elements.

Second, we have demonstrated the improving outcomes of isolated CABG in the presence of growing numbers of procedures on high-risk elderly patients, but, in contrast to the accumulated trial data on younger persons, the risk-benefit ratios of surgery for the elderly are not precisely defined.23 42 The elderly are a very diverse group in terms of their physical and mental health, work capacity, and economic status. Prudent case selection obviously must take into account the baseline functional capacities and preferences of elderly patients. Furthermore, our results show that high-risk elderly patients still have a significantly increased OM rate (8.9%); those with poor ventricular function or previous CABG are at particularly high risk of postoperative mortality. These latter findings may help clinicians in counseling elderly patients about the risks of isolated CABG surgery.

Third, as noted in "Methods," the predictive algorithm for the most recent period is based on consecutive patients from a single center, without independent validation. With only 92 deaths among the 2002 elderly patients undergoing isolated CABG at our center between 1991 and 1996, it was not feasible to split the cohort into derivation and validation samples. That said, most risk-adjustment algorithms in the literature have been validated only in the centers from which they were derived. Other centers should ideally use their own outcomes data to validate and recalibrate the risk factors identified here.

Fourth, we focused exclusively on mortality as a postoperative complication. Additional work is needed to delineate trends in postoperative morbidity, not the least of which is stroke, an outcome particularly feared by the elderly. Furthermore, we do not have data on long-term life expectancy gains or quality of life enhancement. Linkage to provincial statistics is planned to address life-expectancy gains, but in the absence of prospective data collection, quality of life improvements cannot be quantified.

In conclusion, CABG surgery may sometimes be the best of the unattractive options for elderly patients who have a progression of disease and symptoms. OM after isolated CABG in the elderly declined significantly starting in the late 1980s for this important and growing group of patients, despite an increase in the prevalence and severity of their risk factors, and has been stable since the early 1990s at <5% overall for patients aged >=70 years. A careful weighing of risk, rather than advanced age alone, should determine who is offered surgical revascularization. In this regard, poor ventricular function and repeat CABG continue to have the most impact on OM in elderly patients in our center. These and other risk factors noted here can serve as a starting point for cardiologists and surgeons who want to counsel elderly patients about the vital risks of isolated CABG or to delineate risk factors for adverse events in their own practices.


*    Selected Abbreviations and Acronyms
 
CI = confidence interval
CABG = coronary artery bypass graft surgery
EF = ejection fraction
LV = left ventricular, ventricle
OM = operative mortality
ROC = receiver-operator characteristic


*    Acknowledgments
 
Ms Ivanov is supported by a fellowship from the Heart and Stroke Foundation of Canada. Dr Naylor is a Career Scientist of the Ontario Ministry of Health. Dr Naylor also receives personnel support from the Institute for Clinical Evaluative Sciences, which is funded by the Ontario Ministry of Health. The findings and views are those of the authors; no endorsement by the supporting agencies is implied. The authors wish to express their sincere appreciation to Susan Collins for data collection and management. We are deeply indebted to the contributing surgeons at The Toronto Hospital: R.J. Baird, Hugh E. Scully, Lynda L. Mickleborough,. Christopher M. Feindel, Charles M. Peniston, Irving H. Lipton, R.J. Cusimano, Anthony Ralph-Edwards, and Bernard S. Goldman (currently chief of Cardiovascular Surgery at Sunnybrook Health Science Center, Toronto, Canada).

Received June 9, 1997; revision received October 8, 1997; accepted October 21, 1997.


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up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
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