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Thomas A. Schwann
Christopher J. Riordan
Samuel J. Durham
Aamir Shah
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Right arrow Coronary disease

Ann Thorac Surg 2005;79:1976-1986
© 2005 The Society of Thoracic Surgeons


Original article: Cardiovascular

Effects of Obesity and Small Body Size on Operative and Long-Term Outcomes of Coronary Artery Bypass Surgery: A Propensity-Matched Analysis

Robert H. Habib, PhDa,b,c,*, Anoar Zacharias, MDa,b,d, Thomas A. Schwann, MDa,b,d, Christopher J. Riordan, MDa,b,d, Samuel J. Durham, MDa,b,d, Aamir Shah, MDa,b,d

a Division of Cardiovascular Surgery, St. Vincent Mercy Medical Center, Toledo, Ohio
b Division of Cardiovascular Surgery, St. Luke’s Hospital, Maumee, Ohio
c Department of Medicine, Medical College of Ohio, Toledo, Ohio
d Department of Surgery, Medical College of Ohio, Toledo, Ohio

Accepted for publication November 17, 2004.

* Address reprint requests to Dr Habib, Cardiopulmonary Research, St. Vincent Mercy Medical Center, 2213 Cherry St, ACC Bldg, Suite 309, Toledo, OH43608 (E-mail: robert_habib{at}mhsnr.org).


    Abstract
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 References
 
BACKGROUND: The effects of body habitus on coronary artery bypass graft surgery (CABG) operative and long-term outcomes are not well defined. We aimed to elucidate the independent effects of small body size and obesity on CABG outcomes.

METHODS: Primary isolated CABG patients were grouped based on body surface area (BSA, m2) and body mass index (BMI, kg/m2) as follows: 611 very small (BSA ≤1.70); 933 slightly small (1.70 < BSA ≤1.85); 945 moderately obese (32 < BMI <36); 594 very obese (BMI ≥36); and 3,018 normal (BSA >1.85; BMI = 22 to 32). Subcohorts of very small (371 pairs, 61%), slightly small (717, 77%), moderately obese (874, 92%), and very obese (516, 87%) patients were propensity-matched to normal.

RESULTS: Compared with normal, very small had more transfusions (46% versus 32%; p < 0.001), reoperation for bleeding (3.2% versus 0.3%; p = 0.002), and pulmonary edema (2.4% versus 0.5%; p = 0.033). For slightly small, transfusion (41% versus 29%; p < 0.001) and bleeding (2.5% versus 1.0%; p = 0.04) were increased. For moderately obese, sternal wound infections (1.9% versus 0.8%; p = 0.04) were greater. Complications were most frequent in very obese: reoperation (5.2% versus 1.6%; p < 0.001), sternal wound infections (3.5% versus 0.2%; p < 0.001), pulmonary edema (2.9% versus 1.2%; p = 0.047), renal failure (6.0% versus 2.3%; p = 0.003), atrial fibrillation (20% versus 12%; p = 0.001), gastrointestinal problems (3.7% versus 1.6%; p = 0.032), and postoperative stay (8.0 versus 6.4 days; p = 0.003). When slightly small and very small are considered together, operative mortality was significantly greater (3.22% versus 1.65%; p = 0.026). Both very small (risk ratio [RR] = 1.39; p = 0.044) and very obese (RR = 1.44; p = 0.020) were independent predictors of worse 0- to 12-year mortality.

CONCLUSIONS: Large deviations from normal body size in either direction—particularly extreme obesity—are associated with increased postoperative morbidity and worse long-term survival.


    Introduction
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 References
 
An ongoing obesity epidemic is associated with higher incidence of diabetes, hypertension, and hyperlipidemia and is linked to early onset coronary artery disease [1, 2]—the primary cause of death in adults. Consequently, an increasing number of large body habitus patients (obese) are undergoing coronary artery bypass grafting (CABG) at a relatively young age [3, 4]. Alternatively, longer life expectancy has increased the likelihood of CABG due to late onset coronary artery disease. These older patients include a disproportionate number of women with a higher propensity for small body size (small) [3, 5, 6]. Such demographics changes, along with other population factors, have significantly changed the distribution of body size variables in CABG over the past 2 decades [1, 2].

Our current understanding of the role of body size on short-term CABG results remains incomplete, while that of long-term outcomes is practically absent. Nearly all studies have been focused on the immediate postoperative period [3, 4, 7–11], and the data suggest a greater propensity for complications, resource utilization, and mortality at body size extremes relative to intermediate size (normal) [3, 12]. Yet, the evidence for an independent association between size and adverse outcomes is inconclusive, and the actual magnitudes of these effects are not well defined.

Body size is a given characteristic that precludes prospective trials to address body size and outcome questions. Also, patients at extremes of body habitus are characterized by substantial risk factor differences compared with normal. This means that conventional multivariate analyses in unmatched cohorts are susceptible to residual confounding. We thus utilized nonparsimonious propensity modeling to obtain matched small (and obese) patients to normal counterparts characterized by similar demographics (other than size), risk factors, and operative variables [13]. Next, we compared operative and 12-year outcomes in matched groups.


    Material and Methods
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 References
 
This study was approved by the Institutional Review Board. It included 6,068 consecutive isolated CABG operations from a single institution (1991 to 2003) excluding reoperation and emergency salvage operations. Patients were categorized to five groups based on body surface area (BSA, m2) and body mass index (BMI, kg/m2) as follows: (1) 611 very small (BSA ≤1.70); (2) 933 slightly small (1.70 < BSA ≤1.85); (3) 945 moderately obese (32 < BMI <36); (4) 594 very obese (BMI ≥36); and (5) normal (BSA >1.85 and BMI = 22 to 32). A small number of short stature patients (n = 66 [1.1%]; height: 1.27 to 1.55 m) were included both as small (1.45 to 1.85 m2) and obese (32 to 42 kg/m2). Cardiopulmonary bypass (CPB) using standard techniques was utilized in approximately 95% of patients with predominant normothermia (98%) [3, 5]. Demographics, risk factors, cardiac status, medications, coronary disease and grafting, and operative and postoperative data were prospectively collected in the cardiac surgery database according to The Society of Thoracic Surgeons (STS) definitions. Postoperative data included all complications, resource utilization, operative death, and hospital readmission. Long-term survival data were secured from our service follow-up and verified from individual queries of the United States Social Security Death Index database (conducted in February 2004). Allowing for a 3-month lag, this corresponds to a follow-up of 5 to 149 months.

Propensity Matching
Two nonparsimonious propensity models were used to match body habitus extremes patients to normal: 1) small-model derived from all small plus normal patients, and 2) obese-model, from all obese plus normal. Excluding all size variables, 64 patient variables (demographics, coronary disease and grafting, medications and operative) were entered into logistic models irrespective of their significance level. The score derived for each patient from the small model and obese model represented, respectively, the probability that the patient was either small or obese. A custom-made computer algorithm was next used to obtain one-to-one (or greedy) propensity score matching. To maximize the number of matched patients, individual patients belonging to each of the study groups (very small, slightly small, moderately obese, and very obese) were separately matched to the closest possible normal score (matches) to within ±2% score difference (more than 95% were <1%).

Statistical Methods
Continuous data were expressed as mean ± SD. Univariate comparisons were done with the {chi}2 test or Fisher’s exact test for categorical variables and the unpaired t test or the nonparametric Mann-Whitney rank sum test for continuous variables. Kaplan-Meier 12-year survival data were compared by the log-rank test. These were modeled using Blackstone’s multiphase (early, constant, and late) time-varying hazard model, and relative death hazard functions were derived for the matched comparisons [14]. Effects of explanatory variables on survival were defined by risk ratios (RR) derived by Cox regression analysis. Model selection was done with backward elimination (Wald statistic, confirmed using forward and stepwise selection), and variables with p less than 0.05 were retained (SPSS version 10.0; SPSS, Chicago, IL).


    Results
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 References
 
All Patients
Body habitus variables in this CABG series varied widely (BSA = 2.01 ± 0.24 m2 and BMI = 29.2 ± 5.4 kg/m2; Fig 1A). Body surface area and BMI increased systematically over the study period (Fig 1B), with a doubling of very obese. Normal and small were decreased and unchanged, respectively (Fig 1C). Patient data were substantially different among unmatched groups, and consequently, their operative outcomes were also different. Death follow-up was 100% complete and averaged 2,042 ± 1,220 days. A total of 131 operative mortality (2.16%) and 1,136 overall deaths (18.7%) were documented at a median time to death of 1,396 (1,477 ± 1,161) days. Operative mortality (66 of 1,544 [4.27%], 39 of 3,018 [1.29%], and 26 of 1,539 [1.69%]) and median time-to-death (1,172, 1,538, and 1,357 days) varied for small, normal, and obese, respectively.



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Fig 1. (A) Distribution of body surface area (BSA) values among small, normal, and obese patients; first-operation coronary artery bypass graft surgery (CABG), 1991 to 2003 (n = 6,068). (s-small = slightly small; v-small = very small; black bars = very obese [n = 594]; hatched bars = moderately obese [n = 945].) (B) 1991 to 2003 changes in body mass index (BMI; mean) and BSA (mean). (C) 1991 to 2003 changes in incidence of obese and small subgroups. (m-obese = moderately obese; v-obese = very obese.) *Includes partial 1991 patients. **Includes partial 2003 patients.

 
Actuarial survival after 1, 5, and 10 years, respectively, was 92.7%, 83.3%, and 65.8% for small; 96.2%, 88.0%, and 71.4% for normal; and 95.6%, 87.1%, and 70.5% for obese. Unadjusted Kaplan-Meier survival was worse in small compared with normal (p < 0.001) and obese (p < 0.001; Fig 2). Compared with normal, survival differences were greater in very small (p < 0.001) than in slightly small (p = 0.01) patients (Fig 2A). Very obese had worse survival than normal (p = 0.014; Fig 2B), whereas moderately obese did not.



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Fig 2. Unadjusted 0- to 12-year Kaplan-Meier survival in unmatched size-based coronary artery bypass graft (CABG) subgroups: (A) normal versus small and (B) normal versus obese. (m-obese = moderately obese; s-small = slightly small; v-obese = very obese; v-small = very small. (C) The distribution of small propensity score values in small versus normal. (Open bars = slightly small [n = 933]; gray bars = very small [n = 611]; black line = normal [n = 3,018].) (D) The distribution of obese propensity score values in obese versus normal. (Open bars = moderately obese [n = 945]; gray bars = very obese [n = 594]; black line = normal [n = 3,018].)

 
Matched Patients
The distributions of small size propensity scores (Fig 2C) were distinct (p < 0.0001; receiver operating characteristic area under the curve [AUC] = 0.87) for small versus normal patients. Only 61% very small (371 of 611; AUC = 0.88) and 77% slightly small (717 of 933; AUC = 0.77) patients could be matched. Normal and obese exhibited more obese score overlap (p < 0.0001; AUC = 0.75; Fig 2D). Consequently, 87% very obese (516 of 594; AUC = 0.76) and 92% moderately obese (874 of 945; AUC = 0.67) were matched.

Patient data for all four matched group pairs are summarized in Table 1. Compared with normal, slightly small and moderately obese study patients had no significant differences in any of these variables. Few minor differences persisted after matching for very small and very obese versus their respective normal matches: for very small, insulin dependence (11.6% versus 17.0%; p = 0.036) was less frequent whereas all-arterial grafting (11.9% versus 7.3%; p = 0.034) was more frequent; and for very obese, preoperative aspirin use was greater (68% versus 61%; p = 0.016) whereas right internal thoracic artery use (0.8% versus 3.3%; p = 0.004) and bilateral internal thoracic artery use (0.8% versus 2.7%; p = 0.017) were less.


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Table 1. Comparison of Selected Patient Characteristics and Operative Data in Size-Based CABG Subgroups Versus Propensity Matched Normal Size CABG Patients
 
Operative Outcomes
Matched outcome comparisons are summarized in Table 2. Compared with normal, very small had more transfusions (46.1% versus 31.5%; p < 0.001), more reoperations for bleeding (3.2% versus 0.3%; p = 0.002), more pulmonary edema/pneumonia (2.4% versus 0.5%; p = 0.033), and longer total hospital stay (10.0 versus 8.8 days; p = 0.039). A smaller difference in postoperative stay (7.5 versus 6.8 days; p = 0.14) was not significant. In slightly small, only transfusions (41.3% versus 28.7%; p < 0.001) and reoperations for bleeding (2.5% versus 1.0%; p = 0.040) were different. The observed operative mortality in slightly small (3.21% versus 1.67%; p = 0.06) and very small (3.23% versus 1.62%; p = 0.15) was nearly double that in normal matches but was not significant.


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Table 2. Comparison of Postoperative Outcomes in Size-Based CABG Subgroups Versus Propensity Matched Normal Size CABG Patients
 
In moderately obese, only sternal wound infection (1.9% versus 0.8%; p = 0.04) was increased compared with normal, whereas hospital stays and operative mortality were similar. Morbidity was notably worse for very obese, with a 50% greater rate of complications (38.8% versus 25.8%; p < 0.001) versus normal including noncardiac reoperations (5.2% versus 1.6%; p < 0.001), sternal wound infections (3.5% versus 0.2%; p < 0.001), pulmonary edema/pneumonia (2.9% versus 1.2%; p = 0.047), acute renal failure (6.0% versus 2.3%; p = 0.003), atrial fibrillation (19.8% versus 12.4%; p = 0.001), gastrointestinal problems (3.7% versus 1.6%; p = 0.032), and postoperative hospital stay (8.0 versus 6.4 days; p = 0.003). Operative mortality did not differ for very obese versus normal.

Long-Term Survival
Unadjusted Kaplan-Meier survival comparisons are shown in Figure 3, and only very obese were worse than normal (p = 0.04). The corresponding relative hazard ratios are plotted in Figure 4. These indicated that slightly small and very small were associated with systematically worse early-phase death hazard up to about 4 to 5 months after CABG. The very small death hazard was also systematically greater between 6 and 12 years after CABG. No substantial death hazard differences were observed in case of moderately obese. Lastly, very obese did not systematically differ from normal during year 1, but were associated with noticeably worse intermediate-term death hazard (1 to 6 years). After year 8, very obese showed a relatively lower death hazard.



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Fig 3. Comparison of unadjusted 0- to 12-year mortality, Kaplan-Meier analysis (symbols) in size-based groups: (A) slightly small (gray triangles; open triangles = normal), (B) very small (gray triangles; open triangles = normal), (C) moderately obese (gray circles; open circles = normal), and (D) very obese (gray circles; black circles = normal). All groups versus matched normal patients. The p values reflect log-rank test results. Lines through individual Kaplan-Meier plots (symbols) reflect time-varying (multiphase) hazard model fits [14]. (CABG = coronary artery bypass graft surgery; m-obese = moderately obese; s-small = slightly small; v-obese = very obese; v-small = very small.)

 


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Fig 4. Relative death hazard between 0 and 12 years in all four size-based study groups defined as the ratio of the respective death hazard functions (study/matches). (CABG = coronary artery bypass graft surgery; m-obese = moderately obese; s-small = slightly small; v-obese = very obese; v-small = very small.)

 
Results of the proportional hazard cox regression analyses comparing mild deviations from normal (slightly small and moderately obese) with normal are summarized in Table 3. The corresponding results for the very small and very obese are shown in Table 4. Adjusting for other predictors, 0- to 12-year survival was essentially identical for moderately obese and normal (adjusted RR = 1.02), while there was a trend toward less survival in slightly small versus normal (RR = 1.22; p = 0.09). In contrast, compared with normal (Fig 5A, B), adjusted long-term mortality was significantly worse for very small (RR = 1.39) and very obese (RR = 1.44). Given the above-described variance in death hazard, we repeated the Cox regression analysis excluding all first-year deaths and less than 1 year of follow-up patients. For very small (Fig 5C), the derived late death risk was unchanged (adjusted RR = 1.38) but was no longer significant since less total patients (deaths) are available. Importantly, for very obese, RR was greater at 1.65 (Fig 5D).


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Table 3. Multivariate Predictors of 0- to 12-Year Mortality After Isolated CABG for Slightly Small and Moderately Obese Versus Normal Matches
 

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Table 4. Multivariate Predictors of 0- to 12-Year Mortality After Isolated CABG for Extreme Size Groups (Very Small and Very Obese) Versus Normal Matches
 


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Fig 5. Risk-adjusted 0- to 12-year survival in (A and C) very small (v-small) and (B and D) very obese (v-obese) versus matched normal patients. Panels A and B include year 1 patient mortality; panels C and D exclude year 1 mortality (patients who are alive but with less than 1 year of follow-up were excluded from the no early mortality analysis). Covariate means are summarized in Table 4. (Adj. RR = adjusted risk ratio; CABG = coronary artery bypass graft surgery.)

 
Other predictors of worse mortality were older age, insulin-dependent diabetes, noninsulin-dependent diabetes, preoperative renal failure, chronic obstructive pulmonary disease, cerebrovascular disease, triple-vessel disease, history of myocardial infarction, congestive heart failure, emergency, and longer CPB. Variables associated with less mortality were increased ejection fraction, female sex, left internal thoracic artery grafting and greater number of grafts indicating more complete revascularization.


    Comment
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 References
 
Coronary artery bypass graft surgery outcomes vary with patient characteristics and comorbidities [4–12, 15–22]. There is a long-standing perception that obesity increases the risk of adverse CABG outcomes, and is supported by STS analyses of the national cardiac surgery database [4, 12]. Smaller studies have shown equal or better operative mortality in obese versus nonobese [3, 8, 21]. Alternatively, a number of studies have reported increased CABG operative mortality in small patients compared with intermediate or high (includes obese) BSA groups [3–6, 12]. Some explained worse CABG outcomes are due to their smaller size [3, 5, 6, 17, 18, 21]. But one large study did not associate low BSA with increased death [19].

These divergent results on how patient size affects CABG operative outcomes coupled with a scarcity of data on its potential long-term effects motivated this investigation. This is increasingly pertinent given the ongoing demographic changes in adults including an obesity epidemic that affects both the frequency and outcomes of CABG [1, 2]. Mokdad and coworkers [2] used BMI of 30 kg/m2 or more to define obesity and reported a 20.9% national incidence in 2001, representing a 69% increase compared with 1991 (12.0%). In this 1991 to 2003 CABG series, 38% of patients had a BMI of 30 kg/m2 or greater, which demonstrates the important role of obesity in coronary disease. Moreover, significant obesity (BMI >32 kg/m2) increased substantially over this period from 21% to 28% (Fig 1C), and this change comes almost entirely from a rise in the very obese (6% to 13%) while normal patients were less. Our goal was to elucidate the independent effects of body size in CABG free of covariate confounding. To accomplish this, we matched patients by one-to-one (no group size bias), greedy (no repeated patients bias) propensity modeling of the four extreme size groups (see Methods) [13]. The derived propensity models had good-to-excellent discriminative power, and we were able to match a large majority of extreme body size patients to normal size patients.

Postoperative CABG Outcome and Body Size
We report that slightly small and moderately obese patients are associated with a limited increase in morbidity, whereas morbidity was noticeably worse for the very small and very obese cohorts. Compared with normal (Table 2), transfusion and bleeding problems requiring reexploration were more common for both small groups. This is similar to previous reports, and can be linked to greater hemodilution during CPB in small versus larger patients [3, 5, 6]. Higher incidence of pulmonary edema and pneumonia in very small patients may also be related to CPB hemodilutional anemia, which can lead to greater fluid retention including extravascular lung water [3]. On-pump hemodilution is usually greater in small patients since the asanguinous circuit prime represents a greater fraction of the circulating blood-prime mixture. This, in turn, increases the oncotic gradient favoring fluid extravasation particularly when CPB inflammatory endothelial injury is induced [24, 25].

Like prior studies [26, 27], sternal wound infections were more prevalent with increasing obesity probably due to poor healing of under-perfused adipose chest wall tissues. This was the only increased complication for moderately obese (Table 2). For very obese, noncardiac reoperations, pulmonary edema/pneumonia, acute renal failure, atrial fibrillation, and gastrointestinal complications were all increased. Also, consequently, postoperative hospital stays in very obese were longer (8.0 versus 6.4 days; p = 0.003).

None of the individual group comparisons showed significant operative mortality differences. But operative mortality in very small (3.23% versus 1.62%; p = 0.15) and slightly small (3.21% versus 1.67%; p = 0.06) were both twice that of normal, and the lack of significance is likely due to the low operative mortality rates and limited number of patients available. When slightly small (n = 717) and very small (n = 371) are combined, their operative mortality is significantly worse than in normal (18 of 1,088 [1.65%] versus 35 of 1,088 [3.22%]; p = 0.026). That was not true when we combined both obese groups. Similar findings of worse operative mortality in small patients but not large BSA was previously reported in unmatched groups [3, 6, 21].

Long-Term CABG Outcome and Body Size
Surprisingly little is known about the potential impact of body size at the time of CABG on intermediate to longer term survival [3, 28]. Our analysis showed that 12-year CABG survival was significantly worse for very small and very obese (both independent predictors; Fig 5). For very small, the increased death hazard was evident early during year 1 and late after year 8. In contrast, excluding early deaths increases the very obese adjusted RR from 1.44 to 1.65 (Fig 5). Moreover, very obese showed particularly greater death hazard between 1 and 6 years.

It is not obvious why very small and very obese do worse than normal in the long-term even after multivariate adjustment. Follow-up data after discharge were limited to patient death only. Yet, one can speculate about possible reasons for these results. First, the two extreme size groups are associated with a greater propensity of post-CABG complications affecting a number of vital organs (Table 2). Such injury (eg, renal failure) may have sustained long-term effects on organ function and hence on survival. Second, small patients—particularly very small—are susceptible to increased CPB hemodilutional anemia, and subsequently require more transfusions. Increased hemodilutional anemia is associated with vital organ injury with possible long-term effects [5, 6]. Both excessive hemodilution [5] and transfusion [16] are linked to worse long-term mortality. Fortunately, these risks in small patients are potentially modifiable by changes in CPB practice so that excessive hemodilution and transfusions are minimized, for example, use of smaller bypass circuits, retrograde autologous priming, or off-pump surgery. Third, compared with comorbidity-matched normal patients, very small and very obese may be associated with an increased likelihood for developing new comorbidities or exacerbation of already existing comorbidities. For example, very obese are probably more likely to become diabetic or develop hypertension at a given interval after CABG.

We did not find appreciable differences in survival and death hazard for the slightly small and moderately obese groups when compared with matched normal patients. This is in contrast to two recent population studies that indicated that even mild obesity is associated with increased years of life lost [29, 30]. Indeed, Peeters and coworkers [29] showed that the free of cardiovascular disease Framingham Study subpopulation exhibited a significant loss in life span.

Long-term CABG outcome may depend significantly on the utilized grafting strategy, and particularly use of arterial as opposed to vein conduits [31–34]. Grafting data can differ among different size cohorts. However, the frequency of vein, internal thoracic artery and radial artery conduits use in very small, slightly small, and moderately obese study groups was similar to that of their corresponding normal matches (Table 1). Only the very obese versus normal comparison included small but significant differences in right and bilateral internal thoracic artery use. To confirm that this did not bias our findings, we repeated the Cox regression analysis where the small subgroup of patients with right or bilateral internal thoracic artery use and their matches were removed. Here, too, very obese was an independent predictor with a similar risk ratio (1.68; p = 0.006). Worse out-of-hospital CABG outcomes among women—up to 1 year after surgery—have been reported [35,36] and is currently a topic of significant debate. Our data showed that women are disproportionately represented in the extreme size CABG cohorts, which may have played an important role in these differences. Guru and colleagues [36] compared early and late CABG outcomes in men versus women for the entire 1991 to 2000 Ontario, Canada, experience. Their analysis of 54,425 CABG cases, without accounting for body size, resulted in significantly greater adjusted early mortality in women up to 1 year after CABG. Yet, their BSA-adjusted secondary analysis in 13,921 patients suggested no sex differences in early or late mortality (RR = 1.04; p = 0.72). Koch and associates [37] convincingly demonstrated that female sex per se is not a cause of worse operative mortality. Their analysis of the Cleveland Clinic CABG experience revealed that early CABG mortality is essentially identical in males versus females (2.3% versus 2.1%; n = 945 each; p = 0.76) when patients are rigorously matched for demographics including body habitus, risk factors, medications, coronary disease, and cardiopulmonary bypass [37]. Our study is not specifically designed to address the issue of sex. However, the results from the slightly small, moderately obese and very obese versus normal multivariate analyses (Tables 3 and 4) showed that women were in fact associated with less rather than worse long-term mortality (adjusted RR = 0.63 to 0.77). The above indicates that the sex and size effects on CABG outcomes are intricately related and should be addressed by appropriate study designs in the future.

Limitations
Our study was done on a retrospective series from a single institution. Reproducibility of our findings should be confirmed in other patient series. Validity of retrospective analyses to future series is often a topic of debate. However, as size cannot be randomly assigned, the role of body size in CABG cannot be addressed in prospective randomized fashion. Also, there is evidence that when conducted in sufficiently large populations and with the appropriate multivariate analyses, results of retrospective series closely predict results of prospective randomized trials [38–40].

Like most retrospective studies, the long-term survival data are based on all-cause mortality. Autopsy data are rarely available, and the accuracy of cause of death data listed on death certificates is often questionable. Also, since our results were based on matched group comparisons, we expect that significant between-group differences in noncardiac related deaths to be unlikely. Our analysis did not account for the possible effects of changes in patient body habitus after CABG due to lifestyle and diet modifications. These are likely to occur with increased patient awareness in a manner that reduces health risks. For example, normal patients are less likely to become obese and obese patients may be encouraged to lower their BMI toward normal. The latter may have played a role in the lack of worse long-term outcomes in moderately obese.

Lastly, the potential effects of incomplete group matching cannot be totally discounted. In fact, we know that a few variable differences remained after matching in case of very obese and very small comparisons—which are the groups with worse outcomes. Insulin dependence was less frequent (11.6% versus 17.0%) and all-arterial grafting more frequent (11.9% versus 7.3%) in very small relative to normal. Insulin dependence was a powerful predictor of worse outcome in all paired group comparisons (Tables 3 and 4). More arterial grafting is associated with better outcomes [14, 31–33]. Thus, if anything, these residual differences are expected to reduce rather than exaggerate differences between very small and normal. In case of very obese versus normal, small residual differences in right (0.8% versus 3.3%) and bilateral (0.8% versus 2.7%) internal thoracic artery use did not bias our findings as discussed above. Left internal thoracic artery use is an established standard of care [33, 34], and we used it in all patients unless of poor quality or owing to the specific diseased coronary anatomy. Alternatively, bilateral internal thoracic artery dissection is avoided in morbidly obese patients to avoid compromising the blood supply to the sternal tissues given their propensity for sternal wound infections [26, 27]. Finally, it is unlikely that greater preoperative aspirin use in very obese (68.2% versus 61%; p = 0.016) could have affected our findings, particularly since their outcome was similar to normal up to at least 1 year post-CABG and since aspirin is equally prescribed postoperatively.

Conclusion
Even after rigorous matching of body size cohorts to normal size counterparts, we found that large deviations from normal (very small and very obese) are independently associated with increased postoperative morbidity and worse long-term survival. Small patients also exhibited greater operative death, which is perhaps linked to increased on-pump hemodilution, transfusions, and associated complications [5, 6, 15, 16]. We suggest that these effects in small patients are potentially modifiable by changes in current CPB practice. Current CABG demographic trends for our practice show that very obese is the only growing CABG subpopulation and this occurs at the expense of the normal cohort. The very obese cohort was also associated—even after accounting for other comorbidities—with the most perioperative morbidity and the highest relative death hazard after the first year (RR = 1.65). Since prevalence of comorbid factors is itself increased by morbid obesity [1], then the risks we report for very obese status may underestimate its true effects. These data in CABG outcomes are consistent with the effects of obesity in the general adult population [29, 30] and underscore the importance of reversing the well-documented obesity epidemic from a coronary artery disease perspective [2, 23].


    References
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 References
 

  1. Mokdad AH, Ford ES, Bowman BA, et al. Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001 JAMA 2003;289:76-79.[Abstract/Free Full Text]
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