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Ann Thorac Surg 1998;66:125-131
© 1998 The Society of Thoracic Surgeons


Original articles: cardiovascular

Impact of gender on coronary bypass operative mortality

Fred H. Edwards, MDa, Joseph S. Carey, MDa,b,c,d,e, Frederick L. Grover, MDa,b,c,d,e, Joseph W. Bero, MSa,b,c,d,e, Renee S. Hartz, MDa,b,c,d,e

a Division of Cardiothoracic Surgery, University of Florida Health Science Center, Jacksonville, Florida, USA
b Department of Surgery, Torrance Memorial Medical Center, Torrance, California, USA
c University of Colorado Health Science Center, Denver, Colorado, USA
d Summit Medical Systems, Minneapolis, Minnesota, USA; and Department of Surgery
e Tulane Medical School, New Orleans, Louisiana, USA

Accepted for publication February 27, 1998.

Address reprint requests to Dr Edwards, Division of Cardiothoracic Surgery, University of Florida Health Science Center, 653-2 W Eighth St, Jacksonville, FL 32209-6511
e-mail: (fhe{at}mediaone.net)


    Abstract
 Top
 Abstract
 Introduction
 Material and methods
 Results
 Comment
 Appendix 1
 References
 
Background. In spite of many reports investigating the influence of gender on coronary artery operations, it is still uncertain whether gender is an independent risk factor for operative mortality. A major problem of previous reports has centered around the fact that men and women constitute quite different populations, thereby making direct comparisons difficult.

Methods. The Society of Thoracic Surgeons National Cardiac Surgery Database was used to retrospectively examine 344,913 patients undergoing coronary artery bypass graft operations from 1994 through the most recent data harvest. The operative mortality of male and female patients was compared for a variety of single risk factors and combinations of risk factors. A logistic risk model was used to account for all important patient parameters so that individuals could be stratified into comparable categories allowing for direct comparisons of risk-matched male and female patients.

Results. The univariate analysis showed that the 97,153 women carried a significantly higher mortality for each of the risk factors examined. The multivariate analysis and the risk model stratification showed that women had significantly higher mortality as compared to equally matched men in the low- and medium-risk part of the spectrum, but in high-risk patients, there was no difference between male and female mortality.

Conclusions. Gender is an independent predictor of operative mortality except for patients in very high-risk categories.


    Introduction
 Top
 Abstract
 Introduction
 Material and methods
 Results
 Comment
 Appendix 1
 References
 
Operative mortality after coronary artery bypass graft (CABG) operations appears to be considerably higher in women as compared with men, with most series reporting a female mortality approximately twice that of men [16]. Numerous explanations have been proposed to explain this difference. It is commonly believed that the smaller size of female coronary arteries presents a technical challenge that translates into poorer graft patency [1, 3, 7]. Some groups have reported a distinct referral bias causing women to present for revascularization at a more advanced stage of disease compared with their male counterparts [4, 811]. Others have implicated the underutilization of internal mammary artery grafting as a cause for worse female outcomes [3, 12]. Still others have found no significant difference in CABG operative mortality when men and women of similar risk and body size are compared [7, 12]. Clearly the matter is far from settled at this point.

The Society of Thoracic Surgeons National Cardiac Surgery Database, commonly called the STS Database, provides a unique substrate for detailed examination of this compelling issue. This report will analyze the recent national CABG surgical experience to determine whether a difference in operative mortality truly exists. Specifically, the purpose of this study is to answer the following question: All other factors being equal, is there a significant difference in operative mortality between men and women undergoing CABG?


    Material and methods
 Top
 Abstract
 Introduction
 Material and methods
 Results
 Comment
 Appendix 1
 References
 
The population was taken from patient records registered in the STS National Database from 1994 through the most recent data harvest in 1996. There are 344,913 patients registered as having isolated CABG operations in this period.

These patient records were extracted for analysis using standard statistical software (Statistical Analysis System [SAS] version 6.09 for Windows; SAS Institute, Cary, NC). All p values were determined using {chi}2 tests with the appropriate degrees of freedom. Specific risk factors were selected as described in previous reports [6]. The definition of these risk factors conforms to standard published guidelines [13].

Logistic risk models of CABG operative mortality were derived and applied in the manner previously reported [6]. Details of this model, including specific risk factors and validation techniques, are fully described elsewhere [6]. The most current risk model, which is based on 1994 data, was used to determine the net impact of all important risk factors to stratify male and female patients into appropriate risk categories. To prevent the model from considering gender bias in the stratification process, the risk factor associated with gender was arbitrarily excluded in model derivation (Appendix 1).

Initially the male and female populations were compared to determine differences in overall patient presentation (Tables 1, 2). Risk stratification was then performed to compare the operative mortality (OM) of subpopulations having similar risk. This risk stratification was conducted in three levels. Table 3 shows the comparative OM for individual risk factors of clinical importance. To further refine the stratification, combinations of risk factors were selected for comparison (Table 4). Finally, to fully account for the impact of all significant risk factors, the STS risk model was used to place patients into groups of similar risk. The use of risk models in this context is particularly meaningful. Because of the importance of this part of the analysis, the population was stratified in two independent ways. Table 5 breaks down the population by generally accepted subgroups of clinical importance. In Table 6, the population was arranged in sequential order of predicted mortality and then divided into 10 groups having equal numbers of deaths [14].


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Table 1. Patient Characteristics of Entire Population

 

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Table 2. Patient Characteristics by Gender

 

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Table 3. Comparison of Operative Mortality for Specific Risk Factors

 

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Table 4. Comparison of Operative Mortality for Specific Risk Factor Combinations

 

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Table 5. Comparison of Operative Mortality for Predicted Risk (Clinical Grouping)

 

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Table 6. Comparison of Operative Mortality for Predicted Risk (Decile Grouping)

 

    Results
 Top
 Abstract
 Introduction
 Material and methods
 Results
 Comment
 Appendix 1
 References
 
General demographics
There were 97,153 women (28.17%) and 247,760 men (71.83%) in the population. The OM for the entire population was 3.15% (10,853/334,913). For women the OM was 4.52% (4,388/97,153), whereas men had a 2.61% (6,465/247,760) mortality (p < 0.001).

A comparison of risk factors for men and women (Table 2) shows that there were significant differences in the two populations. In general, women were older, had a higher incidence of diabetes, hypertension, and peripheral vascular disease, and underwent nonelective procedures more often. On the other hand, men were more likely to have poor ventricular function, a significant smoking history, and the need for reoperation.

Risk factor comparisons
Table 3 shows the comparative OM for each risk factor of clinical importance. As shown in this table, the OM was significantly higher for women in every risk category.

Risk factors grouped by different combinations of age, surgical priority, and operative incidence are presented in Table 4. The OM was significantly higher for women in all categories except for elderly patients undergoing "redo" procedures.

Risk model comparisons
Whereas the three factors used in Table 4 are quite important, there certainly are other risk factors of clinical significance. To account for the impact of all major risk factors, the STS risk models of OM were used. Table 5 compares subgroups selected by commonly used clinical groupings. Women were found to have significantly higher mortality rates except in the highest risk categories. When patients were arranged into deciles having equal numbers of deaths (Table 6), there again was a significant difference in mortality except in the highest risk category.

Body surface area comparisons
Because of the central importance of body surface area (BSA) in this issue, we focused specifically on its influence. Body surface area did emerge as one of the significant risk factors for inclusion into the risk model and was associated with a beta value of -0.7075 (Appendix 1), its negative value indicating that risk decreases with increasing BSA. To examine its influence in more detail, the OM for women was compared with that of males having similar BSA. All patient records were sequentially arranged according to recorded BSA and then broken down into 10 groups having the same number of records. Operative mortality for women was then compared with that of men for each decile (Table 7). As shown in Figure 1, the difference in OM between men and women is more accentuated at higher BSA. It is particularly important to note that there was no difference in mortality for those patients in the smallest BSA groups (BSA < 1.805 m2). This is consistent with previous findings showing that when BSA is normalized, there is no difference in CABG operative mortality. In the higher ranges of BSA, however, the present study shows significant differences. Furthermore, it should be noted that the mortality in the smallest patients was approximately twice that of the largest patients.


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Table 7. Operative Mortality

 


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Fig 1. Operative mortality for men and women of equal body surface area (BSA).

 
Internal mammary artery comparisons
Some groups have found that women were less likely to have internal mammary artery (IMA) grafting [3, 12]. Because the use of an IMA graft is associated with reduced OM [15], its underutilization in women would logically expose them to an increased surgical risk. To more fully investigate this finding, the influence of IMA grafting was independently examined.

In the STS Database during the 1994 to 1996 time frame, we found that the IMA was used in 73.15% (252,288/344,913) of patients. In women, IMA grafting was performed in 65.25% (63,397/97,153), whereas in men 76.24% (188,891/247,760) received IMA grafts (p < 0.0001). This would seem to offer a partial explanation for the higher OM observed in women. When we examined all patients having IMA grafts, however, there was still a significantly higher mortality in women. For women with IMA grafting the OM was 3.30% (2,091/63,397), whereas for men with IMA grafting there was a 1.94% (3,667/188,891) mortality (p < 0.0001).


    Comment
 Top
 Abstract
 Introduction
 Material and methods
 Results
 Comment
 Appendix 1
 References
 
Women are generally considered to have a higher risk of OM after CABG operations. The most common explanations for this observation have centered around the fact that women have smaller, more technically challenging coronary vessels, the less frequent use of IMA grafting in women, and a referral bias causing women to present for surgical intervention at a more advanced stage of disease. On the other hand, some reports indicate that there is no real difference in CABG operative mortality between genders when these factors are normalized [3, 7, 12, 16].

From these disparate conclusions it does not seem possible to determine whether gender is an independent risk factor for CABG operations. The most likely reason for differing conclusions is the fact that the risk profile for male and female populations is quite dissimilar [3, 5, 7, 12], thereby making direct comparisons particularly difficult.

Our findings support this observation. Table 2 shows the rate of each comorbid condition in male and female patients, confirming that men and women present with different risk factors. To further investigate this issue, we sought to determine whether there was a gender difference in those risk factors independently predictive of OM. A multivariate analysis of all risk factors was carried out for the male population and the female population and then compared (Table 8). Surprisingly, the risk factors were virtually identical in men and women, although the difference in beta coefficients indicates that the relative weight of some risk factors is quite different. This observation once again illustrates the difficulty in attempting direct comparisons between male and female populations.


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Table 8. Comparison of Significant Risk Factorsa

 
The STS Database experience, based on a large number of patients from a variety of centers throughout the country, appears to shed some new light on this issue. For any single risk factor associated with CABG operations, a direct comparison of OM between males and females confirms a statistically significant higher mortality for women. This risk factor analysis includes consideration of BSA and the use of IMA grafting.

This, of course, is valuable information, but the problem is far too complex to be answered completely by univariate analysis. As mentioned above, the risk profile of men and women is quite different. This indicates that even though it is usually appropriate to directly compare two groups of men (or two groups of women) with a specific risk factor, it may be quite inappropriate to attempt a comparison between men and women having a common risk factor. This fact mandates a multifactorial analysis of the problem.

The use of risk models in this setting is particularly important because of the ability of such models to fully account for all important risk factors when assigning appropriate risk categories to patients. Such models can obviate the statistical fog created by a direct comparison of two groups having such disparate risk profiles. This type of risk stratification allows patients of truly similar risk to be directly compared. Surprisingly, these well-recognized assets of risk models have not been previously exploited in this context. When this approach was used with the present patient population, we found that women had significantly higher OM except at the higher end of the risk spectrum. It appears that when the operative risk approaches 30%, there is no significant difference in the outcome associated with patients of either gender.

This is a conclusion that has not been previously reported and there is no readily apparent explanation for it. Certainly we have mounting evidence that gender-specific responses to cardiovascular disease exist as real medical phenomena. For CABG operations, not only is immediate postoperative mortality increased in women, but also postoperative morbidity is higher [17] and long-term survival is lower [2, 17]. In addition, the mortality rate of women in the setting of acute myocardial infarction is higher as compared with men [18], and there are other distinct gender differences in autonomic reactions to abrupt coronary occlusion [19].

The role of estrogen is logically implicated in attempting to explain these observations. Certainly estrogen has a strong physiologic influence, conferring several cardioprotective effects by decreasing low-density lipoprotein levels, increasing high-density lipoprotein levels, enhancing endothelial function, and improving antioxidant activity. Estrogen replacement therapy has been shown to decrease the risk of restenosis after coronary atherectomy [20] and to improve long-term outcome after percutaneous transluminal coronary angioplasty [21] in postmenopausal women. These cardioprotective effects disappear gradually with aging rather than abruptly at the menopause. During this transition, other risk factors inherent in the aging process appear. These intrinsic gender differences in the cardiovascular system are recognized, but do not appear to shed light on a mechanism for observed clinical results.

The central question remains: Is gender an independent risk factor for coronary bypass grafting? The present study indicates that gender is indeed an independent risk factor except for very high-risk patients. In the high-risk part of the spectrum it appears that other, more compelling, risk factors dominate patient outcome and overshadow any differences in gender. For low-risk and medium-risk patients, women carry a significantly higher risk of CABG operative mortality as compared with equally matched male patients.


    Appendix 1
 Top
 Abstract
 Introduction
 Material and methods
 Results
 Comment
 Appendix 1
 References
 
All risk factors contained in the STS Database form were considered for inclusion into the model. A stepwise multivariate analysis of these risk factors was carried out to determine those patient parameters that were independently associated with operative mortality. The (score and Wald) {chi}2 p values for entry and retention were 0.2 and 0.1, respectively.

After the appropriate risk factors were determined, a standard logistic regression analysis was carried out using the "training set" population to develop a risk equation of the form P = 1/[1 + exp(-X)] where P is the probability of postoperative death, X = B0X0 + B1X1 + ... BkXk, each B value (beta coefficient) is a constant associated with a specific risk factor, and the X values denote the status of the risk factor for a given patient.


    References
 Top
 Abstract
 Introduction
 Material and methods
 Results
 Comment
 Appendix 1
 References
 

  1. Fisher L.D., Kennedy J.W., Davis K.B., et al. Association of sex, physical size, and operative mortality after coronary artery bypass in the Coronary Artery Surgery Study (CASS). J Thorac Cardiovasc Surg 1982;84:334-341.[Abstract]
  2. Carey J.S., Cukingnan R.A., Singer L.K.M. Health status after myocardial revascularization: inferior status in women. Ann Thorac Surg 1995;59:112-117.[Abstract/Free Full Text]
  3. O’Connor G.T., Morton J.R., Diehl M.J., et al. Differences between men and women in hospital mortality associated with coronary artery bypass graft surgery. Circulation 1993;88(part 1):2104-2110.[Abstract/Free Full Text]
  4. Khan S.S., Nessim S., Gray R., et al. Increased mortality of women in coronary artery bypass surgery: evidence for referral bias. Ann Intern Med 1990;112:561-567.
  5. Richardson J.V., Cyrus R.C. Reduced efficacy of coronary artery bypass grafting in women. Ann Thorac Surg 1986;42:S16-S21.
  6. Edwards F.H., Clark R.E., Schwartz M. Coronary artery bypass grafting: the Society of Thoracic Surgeons National Database experience. Ann Thorac Surg 1994;57:12-19.[Abstract]
  7. Golino A., Panza A., Jannelli G., et al. Myocardial revascularization in women. Tex Heart Inst J 1991;18:194-198.[Medline]
  8. Steingart R.M., Packer M., Hamm P., et al. Sex differences in the management of coronary artery disease. N Engl J Med 1991;325:226-230.[Abstract]
  9. Hutchinson L.A., Pasternack P.F., Baumann F.G., et al. Is there detrimental gender bias in preoperative cardiac management of patients undergoing vascular surgery?. Circulation 1994;90(Suppl 2):II220-223.
  10. Tobin J.N., Wassertheil S., Wexler J.P., et al. Sex bias in considering coronary bypass surgery. Ann Intern Med 1987;107:19-25.
  11. Bergelson B.A., Tommaso C.L. Gender differences in clinical evaluation and triage in coronary artery disease. Chest 1995;108:1510-1513.[Abstract/Free Full Text]
  12. Mickleborough L.L., Takagi Y., Maruyama H., Sun Z., Mohamed S. Is sex a factor in determining operative risk for aortocoronary bypass graft surgery?. Circulation 1995;92(Suppl 2):80-84.[Abstract/Free Full Text]
  13. The Society of Thoracic Surgeons National Cardiac Surgery Database manual for data managers. Minneapolis: Summit Medical Systems, 1995.
  14. Hannan E.L., Kilburn H., O’Donnell J.F., Lukacik G., Shields E.P. Adult open heart surgery in New York State. JAMA 1990;264:2768-2774.[Abstract/Free Full Text]
  15. Edwards F.H., Clark R.E., Schwartz M. The impact of internal mammary artery conduits on operative mortality in coronary revascularization. Ann Thorac Surg 1994;57:27-32.[Abstract]
  16. Loop F.D., Golding L.R., Macmillan J.P., Cosgrove D.M., Lytle B.W., Sheldon W.C. Coronary artery surgery in women compared with men: analyses of risks and long-term results. J Am Coll Cardiol 1983;1:383-390.[Abstract]
  17. Hartz RS, Morton J. Coronary artery bypass grafting in women. In: Charney P, ed. Coronary artery disease in women; prevention, diagnosis and management. Philadelphia: American College of Physicians (in press).
  18. Woodfield S.L., Lundergan C.F., Reiner J.S., et al. Gender and acute myocardial infarction: is there a different response to thrombolysis?. J Am Coll Cardiol 1997;29:35-42.[Abstract]
  19. Airaksinen K.E.J., Ikaheimo M.J., Linnaluoto M., et al. Gender differences in autonomic and hemodynamic reactions to abrupt coronary occlusion. J Am Coll Cardiol 1998;31:301-306.[Abstract/Free Full Text]
  20. O’Brien J.E., Peterson E.D., Keeler G.P., et al. Relation between estrogen replacement therapy and restenosis after percutaneous coronary interventions. J Am Coll Cardiol 1996;28:1111-1118.[Abstract]
  21. O’Keefe J.H., Kim S.C., Hall R.R., et al. Estrogen replacement therapy after coronary angioplasty in women. J Am Coll Cardiol 1997;29:1-5.[Abstract]



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Women, Ischemic Heart Disease, Revascularization, and the Gender Gap: What Are We Missing?
J. Am. Coll. Cardiol., February 7, 2006; 47(3_Suppl_S): S63 - S65.
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I. K. Toumpoulis, C. E. Anagnostopoulos, S. K. Balaram, C. K. Rokkas, D. G. Swistel, R. C. Ashton Jr, and J. J. DeRose Jr
Assessment of independent predictors for long-term mortality between women and men after coronary artery bypass grafting: Are women different from men?
J. Thorac. Cardiovasc. Surg., February 1, 2006; 131(2): 343 - 351.
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CirculationHome page
V. Guru, S. E. Fremes, P. C. Austin, E. H. Blackstone, and J. V. Tu
Gender Differences in Outcomes After Hospital Discharge From Coronary Artery Bypass Grafting
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M. Pavlovic, A. Schaller, B. Steiner, P. Berdat, T. Carrel, J.-P. Pfammatter, R. A. Ammann, and S. Gallati
Gender Modulates the Expression of Calcium-Regulating Proteins in Pediatric Atrial Myocardium
Experimental Biology and Medicine, December 1, 2005; 230(11): 853 - 859.
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N. C. Dang, V. K. Topkara, B. T. Kim, M. L. Mercando, J. Kay, and Y. Naka
Clinical outcomes in patients with chronic congestive heart failure who undergo left ventricular assist device implantation
J. Thorac. Cardiovasc. Surg., November 1, 2005; 130(5): 1302 - 1309.
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R. Blankstein, R. P. Ward, M. Arnsdorf, B. Jones, Y.-B. Lou, and M. Pine
Female Gender Is an Independent Predictor of Operative Mortality After Coronary Artery Bypass Graft Surgery: Contemporary Analysis of 31 Midwestern Hospitals
Circulation, August 30, 2005; 112(9_suppl): I-323 - I-327.
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R. H. Habib, A. Zacharias, T. A. Schwann, C. J. Riordan, S. J. Durham, and A. Shah
Effects of Obesity and Small Body Size on Operative and Long-Term Outcomes of Coronary Artery Bypass Surgery: A Propensity-Matched Analysis
Ann. Thorac. Surg., June 1, 2005; 79(6): 1976 - 1986.
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F. H. Edwards, V. A. Ferraris, D. M. Shahian, E. Peterson, A. P. Furnary, C. K. Haan, and C. R. Bridges
Gender-Specific Practice Guidelines for Coronary Artery Bypass Surgery: Perioperative Management
Ann. Thorac. Surg., June 1, 2005; 79(6): 2189 - 2194.
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J. Bucerius, J. F. Gummert, T. Walther, M. A. Borger, N. Doll, V. Falk, and F. W. Mohr
Impact of Off-Pump Coronary Bypass Grafting on the Prevalence of Adverse Perioperative Outcome in Women Undergoing Coronary Artery Bypass Grafting Surgery
Ann. Thorac. Surg., March 1, 2005; 79(3): 807 - 812.
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J. H. Mieres, L. J. Shaw, A. Arai, M. J. Budoff, S. D. Flamm, W. G. Hundley, T. H. Marwick, L. Mosca, A. R. Patel, M. A. Quinones, et al.
Role of Noninvasive Testing in the Clinical Evaluation of Women With Suspected Coronary Artery Disease: Consensus Statement From the Cardiac Imaging Committee, Council on Clinical Cardiology, and the Cardiovascular Imaging and Intervention Committee, Council on Cardiovascular Radiology and Intervention, American Heart Association
Circulation, February 8, 2005; 111(5): 682 - 696.
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CirculationHome page
S. Mallik, H. M. Krumholz, Z. Q. Lin, S. V. Kasl, J. A. Mattera, S. A. Roumains, and V. Vaccarino
Patients With Depressive Symptoms Have Lower Health Status Benefits After Coronary Artery Bypass Surgery
Circulation, January 25, 2005; 111(3): 271 - 277.
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J Am Coll CardiolHome page
V. Regitz-Zagrosek, E. Lehmkuhl, B. Hocher, D. Goesmann, H. B. Lehmkuhl, H. Hausmann, and R. Hetzer
Gender as a risk factor in young, not in old, women undergoing coronary artery bypass grafting
J. Am. Coll. Cardiol., December 21, 2004; 44(12): 2413 - 2414.
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SEMIN CARDIOTHORAC VASC ANESTHHome page
A. A. Fox and N. A. Nussmeier
Does Gender Influence the Likelihood or Types of Complications Following Cardiac Surgery?
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S R Messe, S E Kasner, Z Mehta, C P Warlow, P M Rothwell, and for the European Carotid Surgery Trialists
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D. M. Shahian, E. H. Blackstone, F. H. Edwards, F. L. Grover, G. L. Grunkemeier, D. C. Naftel, S. A.M. Nashef, W. C. Nugent, and E. D. Peterson
Cardiac Surgery Risk Models: A Position Article
Ann. Thorac. Surg., November 1, 2004; 78(5): 1868 - 1877.
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M. J. Mack, P. Brown, F. Houser, M. Katz, A. Kugelmass, A. Simon, S. Battaglia, L. Tarkington, S. Culler, and E. Becker
On-Pump Versus Off-Pump Coronary Artery Bypass Surgery in a Matched Sample of Women: A Comparison of Outcomes
Circulation, September 14, 2004; 110(11_suppl_1): II-1 - II-6.
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CirculationHome page
H. L. Lazar, P. M. Bokesch, F. van Lenta, C. Fitzgerald, C. Emmett, H. C. Marsh Jr, U. Ryan, and OBE and the TP10 Cardiac Surgery Study Group
Soluble Human Complement Receptor 1 Limits Ischemic Damage in Cardiac Surgery Patients at High Risk Requiring Cardiopulmonary Bypass
Circulation, September 14, 2004; 110(11_suppl_1): II-274 - II-279.
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Eur. J. Cardiothorac. Surg.Home page
H. Rexius, G. Brandrup-Wognsen, A. Oden, and A. Jeppsson
Gender and mortality risk on the waiting list for coronary artery bypass grafting
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A. Azakie and I. A. Russell
Gender differences in pediatric cardiac surgery: The surgeon's perspective
J. Thorac. Cardiovasc. Surg., July 1, 2004; 128(1): 4 - 6.
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V. Guru, S. E. Fremes, and J. V. Tu
Time-related mortality for women after coronary artery bypass graft surgery: A population-based study
J. Thorac. Cardiovasc. Surg., April 1, 2004; 127(4): 1158 - 1165.
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CirculationHome page
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Women's Ischemic Syndrome Evaluation: Current Status and Future Research Directions: Report of the National Heart, Lung and Blood Institute Workshop*: October 2-4, 2002 : Executive Summary
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V. Vaccarino and C. G. Koch
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J. Thorac. Cardiovasc. Surg., December 1, 2003; 126(6): 1707 - 1711.
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Gender and outcomes after coronary artery bypass grafting: a propensity-matched comparison
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N. K. Wenger
Is what's good for the gander good for the goose?
J. Thorac. Cardiovasc. Surg., October 1, 2003; 126(4): 929 - 931.
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Gender differences in quality of distal vessels: effect on results of coronary artery bypass grafting
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Ann. Thorac. Surg., October 1, 2003; 76(4): S1356 - 1362.
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Socioeconomic deprivation is a predictor of poor postoperative cardiovascular outcomes in patients undergoing coronary artery bypass grafting
Heart, September 1, 2003; 89(9): 1062 - 1066.
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J Am Coll CardiolHome page
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J. Am. Coll. Cardiol., August 20, 2003; 42(4): 668 - 676.
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Ann. Thorac. Surg., June 1, 2003; 75(6): 1856 - 1865.
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A. Sedrakyan, K. Gondek, D. Paltiel, and J. A. Elefteriades
Volume Expansion With Albumin Decreases Mortality After Coronary Artery Bypass Graft Surgery
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Excess coronary artery bypass graft mortality among women with hypothyroidism
Ann. Thorac. Surg., December 1, 2002; 74(6): 2121 - 2125.
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