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J Thorac Cardiovasc Surg 2003;126:680-687
© 2003 The American Association for Thoracic Surgery
Cardiopulmonary support and physiology |
a Department of Thoracic and Cardiovascular Surgery, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
b Department of Biostatistics and Epidemiology, The Cleveland Clinic Foundation, Cleveland, Ohio, USA
Received for publication December 21, 2000; revisions received February 15, 2001; revisions received September 4, 2002; accepted for publication October 25, 2002.
* Address for reprints: Michael K. Banbury, MD, The Cleveland Clinic Foundation, Department of Thoracic and Cardiovascular Surgery, 9500 Euclid Avenue/Desk F25, Cleveland, OH 44195, USA
banburm{at}ccf.org
| Abstract |
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METHODS: A total of 150 valve operations were performed at our institution between February and July 1999 using vacuum-assisted venous return with small venous cannulas connected to short tubing. These were compared with (1) 83 valve operations performed between April 1997 and January 1998 using the initial version of vacuum-assisted venous return, and (2) 124 valve operations performed between January and April of 1997 using conventional gravity drainage. Priming volume, hematocrit value, red blood cell usage, and total blood product usage were compared multivariably. These comparisons were covariate and propensity adjusted for dissimilarities between the groups and confirmed by propensity-matched pairs analysis.
RESULTS: Priming volume was 1.4 ± 0.4 L for small-cannula vacuum-assisted venous return, 1.7 ± 0.4 L for initial vacuum-assisted venous return, and 2.0 ± 0.4 L for gravity drainage (P < .0001). Smaller priming resulted in higher hematocrit values both at the beginning of cardiopulmonary bypass (27% ± 5% compared with 26% ± 4% and 25% ± 4%, respectively, P < .0001) and at the end (30% ± 4% compared with 28% ± 4% and 27% ± 4%, respectively, P < .0001). Red cell transfusions were used in 17% of the patients having small-cannula vacuum-assisted venous return, 27% of the initial patients having vacuum-assisted venous return, and 37% of the patients having gravity drainage (P = .001); total blood product usage was 19%, 27%, and 39%, respectively (P = .002). Although ministernotomy also was associated with reduced blood product usage (P < .004), propensity matching on type of sternotomy confirmed the association of vacuum-assisted venous return with lowered blood product usage.
CONCLUSIONS: Vacuum-assisted venous return results in (1) higher hematocrit values during cardiopulmonary bypass and (2) decreased red cell and total blood product usage.
Because VAVR was introduced as a technical modification of conventional CPB, no randomized protocol was used. To assess the possible clinical benefit accompanying this technical benefit of surgical flexibility, we compared blood product usage in patients undergoing cardiac surgery with short-tubing VAVR, conventional-tubing VAVR, and conventional gravity drainage.
| Patients and methods |
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This study was designed to assess the group of patients undergoing valve surgery for whom VAVR modified to minimize tubing volume was used and to compare it with a group in which conventional tubing VAVR was used and another group in which conventional gravity drainage was used. Composition of the 3 study groups is described below.
Vavr group 1
This group consisted of 83 patients undergoing valve operations between April 1997 and January 1998 by one surgeon (D.M.C.). This is the initial group in which VAVR with small venous cannulas and conventional length venous tubing was used. Priming volume was reduced by draining the venous lines.
Vavr group 2
This group consisted of 150 patients undergoing valve operations between February and July of 1999. This is the group in which VAVR with important reduction of tubing length was used. A total of 20.4 feet of tubing was removed from the bypass circuit.
Gravity return group
This group consisted of 124 patients undergoing valve operations between January and April of 1997. This is the group in which conventional gravity drainage was used.
Patients undergoing emergency operations, receiving preoperative hemodialysis or port-access procedures, or having operations involving repair or replacement of an aortic aneurysm were excluded. Patient and procedure characteristics of the 3 study groups are compared in Tables 1 and 2.
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The first red cell volume (RCV) on CPB and the first RCV in the ICU were adjusted for priming volume as follows:
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| Data analysis |
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Analytic strategy
The null hypothesis tested was that there was no difference in packed red cell or total blood product usage (packed red cells, fresh frozen plasma, platelets, or cryoprecipitate) between patients undergoing VAVR and those undergoing conventional gravity drainage. Because the number of units of blood products administered per patient was distributed more "categorically" than continuously, the end points were dichotomized (use or not of blood products) and multivariable logistic regression performed.3 The objective of the analyses was to detect differences in these end points among 3 groups of patients; therefore, a variable representing VAVR group 1 and VAVR group 2 was forced into each model as the initial step. Then, adjusting covariates were sought from patient and procedure variables (Appendix 1) using a guided stepwise approach.4 The P value criterion used to retain variables in the analyses was .05.
Because the study was not randomized, baseline differences existed among the 3 patient groups (Tables 1 and 2). These differences were quantified by multivariable logistic regression (Appendix Table 1), the results of which were considered in developing propensity models, one for the probability of receiving VAVR 1 and the other VAVR 2.5,6 Appendix 2 contains details on the conditional probability computations needed for this, based on methods described by Hosmer and Lemeshow.3 The 2 propensity scores were used to further adjust the multivariable comparisons of groups.
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Because of confounding between blood product usage and increasing use of minimally invasive incisions across the time frame of the study, the overall results were confirmed in two groups of patients that were pairwise propensity matched for full sternotomy versus minimally invasive approach (Appendix 2).
| Results |
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Use of blood products
Red blood cell transfusions were given to 94 patients, and 99 patients received some form of blood product intraoperatively or postoperatively (Table 3).
Packed red blood cells were used in 37% of the gravity drainage group, 27% of VAVR group 1, and 17% of VAVR group 2. After adjusting for age, blood volume, full sternotomy, mitral valve repair, and propensity scores, the probability of receiving red blood cells was 55% lower in VAVR group 1 and 88% lower in VAVR group 2 than in the gravity drainage group (Table 4).
The same relations held for total blood product usage (Tables 3 and 5).
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Confirmation
Among the propensity-matched pairs of patients for full sternotomy versus minimally invasive incisions, the probability of receiving any blood product was no longer associated with either surgical approach or mitral valve repair (Table 6).
However, its association with age, blood volume, and, most important, VAVR was entirely consistent with the findings of the main analysis.
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| Discussion |
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These findings are at odds with the principle of normovolemic hemodilution. However, in 3 separate studies, Höhn,12 Casati,13 Weiskopf,14 and their colleagues found a lack of efficacy of normovolemic hemodilution in reducing transfusion requirements in cardiac surgery.
In addition to reducing priming volume, another hypothesis for the clinical benefit of VAVR is the noticeably drier operative field. This reduces the amount of blood exposed to damaging effects of pump suction and basket suction salvage. It may also reduce the amount scavenged by wall suction. The clinical benefit of VAVR is likely a combination of all effects. This may explain, in part, why incremental improvement was observed when transitioning from conventional gravity drainage to VAVR, without reduction of tubing length, and then to VAVR in its final iteration.
Reducing the need for transfusion of homologous blood products has been a goal of cardiac surgeons since the early 1980s.15-21 Identification of transfusion as a mode of disease transmission and an important morbidity has been a strong motivating factor for blood conservation.22,23 Modalities such as intraoperative autologous blood donation and retrograde autologous priming have been used with some success,24-26 and autotransfusion of shed mediastinal blood has been widely adopted.27
Vavr
Besides the clinical benefits of fewer transfusions, VAVR also permits the use of small-caliber venous cannulas, and the vacuum eliminates air locks that are common with conventional gravity drainage. This is especially apparent with dissection of the right atrium during reoperation and during emergency cannulation when the atrial purse-string suture is not in place. Nevertheless, LaPietra and colleagues28 have voiced concerns about the potential risk of introducing air emboli into the system.They demonstrated that air intentionally introduced into venous lines allowed some microbubbles (<100 µm) to pass to the arterial cannula. Increasing vacuum (negative pressure) led to an increase in the number of microbubbles transmitted. However, number of microbubbles (counts x min-1) and microbubble flow (µL x min-1) were still low, so the clinical importance of their findings is unclear. No clinical complications of VAVR have been identified, but, as a precaution, entrained air should be kept to a minimum.
Limitations
Ideally, new, fully developed technology would be evaluated by randomized trial. However, introduction of technology often is iterative, leading in stages to a reengineered process. This was the case with VAVR.
Thus, the principal limitation of this study is its observational character during 2 sequential phases of VAVR implementation and refinement. However, 4 increasingly sophisticated forms of analysis lead us to believe that VAVR itself, not a confounding factor, was associated with the reduced blood product usage discovered. The first was simple unadjusted univariable analysis, which demonstrated incrementally lower blood usage in the VAVR groups. The second was multivariable analysis, used to assess VAVR effects in the presence of statistically and medically significant covariable adjustors. It supported the univariable result. The third was further multivariable adjustment by 2 propensity scores.29 Propensity score adjustment provides a unified way to adjust for group differences in analysis of outcomes in nonrandomized studies such as this. It cannot, however, correct for unmeasured variables that are not correlated highly with variables measured and accounted for in propensity models, and that may affect the end points considered. This adjustment was not statistically significant, supporting both univariable and multivariable analyses. The final form of analysis was propensity-matched-pairs analysis, which confirmed the finding that VAVR itself led to an important reduction in blood product usage, even though full sternotomy was associated with greater blood use and was more common in the gravity drainage group.
Another limitation is that the groups were sequential, rather than concurrent, because of iterative refinements of the technology. This temporal confounding can never be eliminated by propensity adjustment or matching.
The end points themselves posed analytic challenges with respect to distribution of the number of units of blood product used, requiring dichotomization with attendant loss of information content. They also posed a potential problem of bias, in that there was no strict protocol for transfusion; rather, transfusion was a clinical decision based on a general policy that transfusions were called for if the hematocrit value was 21% or less. Thus, we cannot exclude the possibility that blood conservation received a higher priority in the VAVR groups. Fang and colleagues30 have illustrated the relationship between increased operative mortality and hematocrit value during CPB of less than 14% (or <17% in high-risk patients). Our transfusion trigger of 21% is higher than the danger limit shown by Fang and colleagues, but consistent with recommended guidelines.2
| Conclusions |
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| Appendix 1 |
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Hematology
Preoperative hematocrit, blood volume, and red blood cell volume.
Cardiac comorbidity
History of abnormal rhythm, history of atrial fibrillation, New York Heart Association functional class, and number of previous cardiac operations.
Noncardiac comorbidity
History of diabetes, history of stroke, and history of renal disease.
Procedure
Incision type (full sternotomy, ministernotomy, or thoracotomy), aortic valve replacement or repair, mitral valve replacement or repair, combined aortic and mitral procedure, and surgeon.
Operative
Length of time on cardiopulmonary bypass, first hematocrit value, and red blood cell mass on cardiopulmonary bypass.
| Appendix 2 |
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Parsimonious models for data subsets
To ensure mutually exclusive probabilities that would generate probabilities adding to 1.0, the data set was the first subset to include only the gravity drainage and VAVR 1 groups. Logistic regression was used to develop a parsimonious model for the probability of being in VAVR group 1 versus gravity drainage, based on patient and procedure variables (and specifically not on outcome variables). Logistic regression was repeated for the subsets of VAVR group 2 and gravity drainage (Appendix Table 1).
Propensity models for data subsets
Covariables from the parsimonious models were pooled and other covariables added that, although not statistically significant in either model, characterized major groups of variables that could give rise to selection bias. These include (1) age, (2) sex, (3) body surface area, (4) New York Heart Association functional class, (5) preoperative red blood cell volume, and (6) one or more previous cardiac surgeries (ministernotomy, mitral valve replacement, aortic valve replacement, and mitral valve repair). This complete set of covariables was incorporated into nonparsimonious logistic propensity models for the 2 subsets of data.
Calculation of propensity scores
Logit values for each of the 2 models, z1(x) for VAVR group 1 and z2(x) for VAVR group 2, were calculated for each patient in the entire data set. The 3 conditional probabilities for treatment groups given the chosen covariates were computed as:
(Y = VAVR group 1|x) = ez1(x) /(1 + ez1(x) + ez2(x)),
(Y = VAVR group 2|x) = ez2(x) /(1 + ez1(x) + ez2(x)), and
(Y = gravity drainage |x) = 1/(1 + ez1(x) + ez2(x)), where
is the probability of group membership and e is base of the natural logarithms. These probabilities sum to 1.
Verification of propensity score matching
The entire data set was sorted separately by each of the propensity scores. For each, 5 groups (quintiles) of similarly propensity-ranked patients were examined. Matching within quintiles was checked using
2 or t tests as appropriate for patient and procedure covariables. Quintiles were homogeneous with the exception of the first quintile in both cases. Because the patients in quintile one for the probability of being in VAVR group 1 were not the same as the patients in quintile one for the probability of being in VAVR group 2, no patient was omitted from analyses; rather, the propensity scores themselves were used as a mechanism of adjustment.
Use of propensity scores
Two of the 3 resulting conditional probabilities,
(Y = VAVR group 1x) and
(Y = VAVR group 2x), were used as covariates in multivariable analyses of outcome.
Confirmation analysis
Using logistic regression as above, both a parsimonious and a propensity model were developed for full sternotomy versus minimally invasive approach. Patients receiving a full sternotomy were older (P = .06), more symptomatic (P = .03), more likely to have had a stroke (P = .04) or renal failure (P = .04), and less likely to have undergone mitral valve repair (P < .001).
A propensity score was calculated for each patient. By the technique of greedy matching, it was used to match one-to-one 98 of the 120 patients having full sternotomy with 98 of the 176 patients having the minimally invasive approach.31 These 196 propensity-matched paired patients were analyzed exactly as the main group was; however, propensity adjustment was with respect not only to group but also to surgical approach.
| Acknowledgments |
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| Footnotes |
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| References |
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