Background For many complex surgical procedures there is anassociation between a low volume of procedures and an increasedrisk of death for the patients who undergo the procedures.
Methods We examined the effect of the volume of procedures attransplantation centers on the risk of death after liver transplantation.We analyzed all liver transplantations performed in the UnitedStates between October 1, 1987, and April 30, 1994. Becausethe results for 1987 to 1991 were largely similar to those from1992 to 1994, we focused on the more recent period.
Results Between January 1, 1992, and April 30, 1994, 47 centersperformed 20 or fewer liver transplantations each per year (total,837 transplantations) and were designated low-volume centers,and 52 centers performed more than 20 transplantations eachper year (total, 6526) and were designated high-volume centers.The one-year mortality rate for the low-volume centers was 25.9percent, as compared with 20.0 percent for the high-volume centers.Thirteen centers, all of which had low volumes, had one-yearmortality rates of more than 40 percent. Low-volume centersthat were affiliated with high-volume centers, such as pediatrictransplantation programs, had results similar to those of thehigh-volume centers. The one-year mortality rate at unaffiliatedlow-volume centers was 28.3 percent, as compared with a rateof 20.1 percent for the group of all high-volume centers plusaffiliated low-volume centers (P<0.001).
Conclusions As a group, liver-transplantation centers in theUnited States that perform 20 or fewer transplantations peryear have mortality rates that are significantly higher thanthose at centers that perform more than 20 transplantationsper year. Information regarding the outcome of liver transplantationat transplantation centers should be made widely available tothe public.
Currently, organ transplantation is limited by the availabilityof donor organs. In the United States, there have been smallincreases in the number of donor organs available. Nonetheless,since 1994, a rapid rise in the number of patients awaitingtransplantation has led to longer waiting times and a greaternumber of deaths each year among patients on waiting lists fortransplants. The death of a patient soon after transplantationalso represents the loss of an organ that might have saved anotherpatient's life.
In 1994, Hosenpud et al.1 analyzed the effect of the volumeof procedures at transplantation centers on survival after cardiactransplantation. They found that the risk of death was 33.1percent higher 12 months after transplantation in centers thatperformed fewer than nine transplantations per year than inthose that performed nine or more procedures. A multivariateanalysis demonstrated that the risk of death was independentof differences in the characteristics of the patients from centerto center. We used the same methods to examine the effect ofthe volume of procedures on the risk of death after liver transplantation.
Methods
We analyzed all liver transplantations performed in the UnitedStates between October 1, 1987, and April 30, 1994. We excludedrecipients of partial liver transplants from living donors andpatients who underwent multiorgan transplantations, in whichthe liver and other organs from a single donor are transplantedinto one recipient. The data were verified by the individualtransplantation centers and organ-procurement organizationsin conjunction with the 1997 Report of Center-Specific Graftand Patient Survival Rates,2 a study of the outcome of all solid-organtransplantations conducted under the auspices of the HealthResources and Services Administration of the Department of Healthand Human Services.
To estimate the effect of the volume of procedures at a centeron the risk of death after transplantation while controllingfor differences among centers in the donors' and recipients'characteristics, we used a generalized additive model, an extensionof standard logistic regression.3 This model is a useful exploratorytool for obtaining simultaneous estimates of the effects ofcovariates that may be nonlinear. Many of the donor and recipientcovariates included in the model were used in the analysis ofliver-transplantation outcomes in the 1997 Report of Center-SpecificGraft and Patient Survival Rates.2 The list of covariates includedcharacteristics of the recipients (the number of previous transplantations,age, race, diagnosis, medical condition at the time of transplantation,the serum creatinine concentration at transplantation, and theyear of transplantation) and factors related to the donor (age,race, and the duration of cold ischemia).
The outcome measure was the mortality rate one year after transplantation.To determine the relation between the volume of procedures andthe risk of death, we determined the average number of transplantationsperformed per year at each center. The log-transformed valuewas included as an additional covariate in the generalized additivemodel; log transformation corrected for the fact that therewere only a few centers with very large volumes. An estimateof the effect of the number of procedures performed per yearwas calculated on the basis of data obtained during two periods:October 1, 1987, to December 31, 1991, and January 1, 1992,to April 30, 1994. Rather than choose arbitrary volume categories,we grouped the centers into two categories on the basis of theseanalyses.
Many low-volume centers were identified as being closely affiliatedwith adjacent centers that had high volume; many of these affiliatedcenters were pediatric programs in separate but affiliated pediatrichospitals. In a preliminary analysis, we found that the outcomewas markedly poorer at low-volume centers that were not affiliatedwith high-volume centers than at all other centers as a group.Therefore, for some analyses, the centers were subcategorizedas affiliated or unaffiliated.
To determine the final estimate of the effect of the numberof procedures performed per year on the one-year mortality rate,we entered the data for 1992 to 1994 into a multivariate logistic-regressionmodel in which the response variable was the death of the patientwithin one year after transplantation. In this model, ratherthan excluding patients with insufficient follow-up, we weightedthe data on patients who were not followed up for one year.3An indicator variable was created for the category of the centeras determined from the generalized additive model, and thisvariable was included in the logistic-regression model alongwith the donor and recipient covariates. The modal categoryor mean values were used for covariates with missing data; forexample, data on the duration of cold ischemia were missingfor 6.7 percent of transplantations, whereas data on other covariateswere missing for less than 1 percent.
Because follow-up was not complete, particularly in the caseof transplantations performed in 1992 or later, unadjusted mortalityrates were calculated according to the KaplanMeier method.4All statistical calculations were performed with S-Plus forWindows (version 3.3, StatSci, Seattle) or SAS (version 6.09,SAS Institute, Cary, N.C.) statistical software. In the analysisof the patients' characteristics, the chi-square test was usedfor categorical variables5 and the t-test was used for continuousvariables.6 Differences in survival curves were compared withthe use of the log-rank test.7 All reported P values are two-sided.
Results
Table 1 shows the number of transplantation centers and thenumber of transplantations performed from October 1, 1987, toDecember 31, 1991, and from January 1, 1992, to April 30, 1994.Between January 1, 1992, and April 30, 1994, 47 centers performed20 or fewer liver transplantations each per year and 52 performedmore than 20 per year. The centers in the low-volume group (20or fewer transplantations per year) performed 11 percent ofall transplantations during this period, whereas high-volumecenters (more than 20 procedures per year) performed 89 percent.
Table 1. Characteristics of the Liver-Transplantation Centers, According to the Average Number of Procedures Performed per Year, 19871994.
The relation between the number of procedures performed peryear and the mortality rate one year after liver transplantationfrom 1992 to 1994, as determined by the generalized additivemodel, is shown in Figure 1 and closely resembles the findingsfor the period from 1987 to 1991 (data not shown). During bothperiods, mortality rates stabilized at centers that performedmore than 20 transplantations per year and increased inverselywith transplantation volumes of less than 20 per year. Thirteencenters, all of which had low volumes, had mortality rates of40 percent or more. Accordingly, using the data for 1992 to1994, we grouped centers into those that performed 20 or fewertransplantations per year and those that performed more than20 per year.
Figure 1. Relation between the Number of Procedures Performed per Year and the Mortality Rate One Year after Liver Transplantation at 99 Centers from January 1, 1992, to April 30, 1994.
An affiliated center was one that was closely affiliated with an adjacent high-volume center.
We used logistic-regression analysis to estimate the odds ofdeath at one year for transplantations performed during theperiod from 1992 to 1994 at centers categorized according tothe number of procedures per year and affiliation status, afteradjustment for the following covariates: donor's age and raceand recipient's age, race, diagnosis, number of previous livertransplantations, serum creatinine concentration at the timeof transplantation, medical condition at the time of transplantation,and year of transplantation. The performance of affiliated low-volumecenters and affiliated high-volume centers was similar, as wasthe performance of affiliated and unaffiliated high-volume centers(Table 2). In a separate comparison of low-volume centers, theodds of death within one year after liver transplantation atall unaffiliated centers was nearly twice that at all affiliatedcenters (adjusted odds ratio, 1.97; 95 percent confidence interval,1.32 to 2.94). Therefore, in the remainder of the analyses,the centers were divided into two groups: unaffiliated low-volumecenters and high-volume centers plus affiliated low-volume centers.As compared with the odds of death for the entire group of high-volumecenters and affiliated low-volume centers, the odds ratio fordeath at low-volume unaffiliated centers was 2.04 (95 percentconfidence interval, 1.63 to 2.55).
Table 2. Relation between the Number of Procedures Performed per Year and Affiliation Status and the Risk of Death One Year after Liver Transplantation, 19921994.
The characteristics of the donors and the liver-transplant recipientsare shown in Table 3. Donors and recipients at unaffiliatedlow-volume centers were younger than those at high-volume centersand affiliated low-volume centers. The percentage of recipientswho were less than 18 years of age was similar in the two groups.Recipients at unaffiliated low-volume centers were more likelyto be black and less likely to have received a previous livertransplantation. Figure 2 shows KaplanMeier estimatesof survival at one year. The survival rates were significantlyhigher (P<0.001) in the group of high-volume centers andaffiliated low-volume centers than in the unaffiliated low-volumecenters. The difference in mortality rates between the two groupswas 6.8 percentage points at 90 days and 8.2 percentage pointsat 1 year (Table 3).
Figure 2. KaplanMeier Estimates of Survival at One Year, According to the Number of Transplantations Performed per Year.
An affiliated center was one that was closely affiliated with an adjacent high-volume center.
It has been suggested that the sickest liver recipients mayhave a higher risk of death if they undergo transplantationat low-volume centers. Using the logistic-regression model,we tested this hypothesis for recipients of a second transplantand for those who were receiving life support at the time oftransplantation. Patients who were receiving life support atthe time of transplantation had a higher risk of death if theyunderwent the procedure at an unaffiliated low-volume centerrather than at a high-volume center or an affiliated low-volumecenter (mortality rate, 51.4 percent vs. 39.3 percent; adjustedodds ratio, 2.2; 95 percent confidence interval, 1.25 to 3.74).For recipients of a second or subsequent transplant, the mortalityrate was 64.4 percent at unaffiliated low-volume centers, ascompared with 41.3 percent at the other centers (adjusted oddsratio, 3.1; 95 percent confidence interval, 0.99 to 9.88). Thewide confidence intervals reflect the small number of recipientsof a second or subsequent transplant at low-volume centers (31recipients).
Discussion
We found that, as a group, liver-transplantation centers inthe United States that perform 20 or fewer transplantationsper year had mortality rates that were significantly higherthan those at centers that perform more than 20 transplantationsper year. The effect on mortality of the number of proceduresperformed per year was even greater when low-volume centersthat were affiliated with a high-volume center were comparedwith low-volume centers that were not so affiliated. In theinitial analysis, we found that a significant number of childrenunderwent transplantation at affiliated low-volume centers andthat the results were similar to those at high-volume centers.
The increased risk of death in the unaffiliated low-volume centersdid not appear to be an effect of the patients selected. Patientswho are in the intensive care unit and those who are receivinglife support at the time of liver transplantation have a higherrisk of death than do healthier liver-transplant recipients.2The percentages of transplantations that were performed in patientswho were receiving life support or were in the intensive careunit at the time of the procedure were similar in unaffiliatedlow-volume centers and the entire group of affiliated low-volumecenters plus all high-volume centers. The outcome of transplantationfor these sicker patients was poorer at the unaffiliated low-volumecenters. A higher percentage of black patients underwent transplantationat low-volume unaffiliated centers. Black patients have a highermortality rate after liver transplantation than white patients.8Our analysis adjusted for the potential effect of the recipient'srace on the risk of death.
We found that some centers that perform 20 or fewer liver transplantationsper year had a low mortality rate. In part, this may reflectstatistical variation. It may also reflect other factors thatwe were unable to measure.
The association between a low volume of procedures and an increasedrisk of death among patients undergoing complex surgical proceduresis well established.9,10 It is therefore not surprising thatwe found an association between the number of procedures performedper year and the outcome of liver transplantation. The responsiblefactors might include the experience of the center and the experienceand skill of the surgeons. In the case of heart transplantation,1Hosenpud et al. found no difference in the risk of death amongthe first 10 patients who underwent transplantation at a centeras compared with the next 10 patients, suggesting that the accumulatedexperience of the center was not an important factor in determiningsurvival. We have also found that cumulative experience at aliver-transplantation center was not a factor in determiningmortality (data not shown).
Is there adequate information to enable physicians to steertheir patients away from transplantation centers with high mortalityrates? Thirteen centers had mortality rates that exceeded 40percent, and the rate at one of these centers was 100 percent(Figure 1). It would be reasonable to assume that, given thisinformation, patients would decide to undergo transplantationat a center with low mortality rates.
Our findings suggest that the information available to patientsand referring physicians is inadequate or that regional healthcare systems may be forcing patients to go to centers with poorresults. Information regarding the outcomes of liver transplantationat transplantation centers should be made widely available tothe public in a timely manner.
Source Information
From the United Network for Organ Sharing, Richmond, Va. (E.B.E., M.A.M.); the University of California at San Francisco, San Francisco (J.P.R.); University Hospitals of Cleveland, Cleveland (J.A.S.); and the University of Iowa College of Medicine, Iowa City (L.G.H.).
References
Hosenpud JD, Breen TJ, Edwards EB, Daily OP, Hunsicker LG. The effect of transplant center volume on cardiac transplant outcome: a report of the United Network for Organ Sharing Registry. JAMA 1994;271:1844-1849. [Free Full Text]
1997 Report of center-specific graft and patient survival rates: executive summary. Richmond, Va.: United Network for Organ Sharing, 1997.
Hastie T, Tibshirani R. Generalized additive models. Stat Sci 1986;1:297-318.
Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc 1958;53:457-81.
Agresti A. Categorical data analysis. New York: John Wiley, 1990.
Bhattacharyya GK, Johnson RA. Statistical concepts and methods. New York: John Wiley, 1977.
Kalbfleisch JD, Prentice RL. The statistical analysis of failure time data. New York: John Wiley, 1980.
1996 Annual report of the U.S. Scientific Registry of Transplant Recipients and the Organ Procurement and Transplantation Network: transplant data 19881995. Richmond, Va.: United Network for Organ Sharing, 1996.
Gordon TA, Burleyson GP, Tielsch JM, Cameron JL. The effects of regionalization on cost and outcome for one general high-risk surgical procedure. Ann Surg 1995;221:43-49. [Medline]
Kazmers A, Jacobs L, Perkins A, Lindenauer SM, Bates E. Abdominal aortic aneurysm repair in Veterans Affairs medical centers. J Vasc Surg 1996;23:191-200. [CrossRef][Medline]
Baerlocher, M. O., Detsky, A. S.
(2009). Professional Monopolies in Medicine. JAMA
301: 858-860
[Full Text]
van der Hilst, C. S., IJtsma, A. J. C., Slooff, M. J. H., TenVergert, E. M.
(2009). Cost of Liver Transplantation: A Systematic Review and Meta-Analysis Comparing the United States With Other OECD Countries. Med Care Res Rev
66: 3-22
[Abstract]
Zahn, R, Gottwik, M, Hochadel, M, Senges, J, Zeymer, U, Vogt, A, Meinertz, T, Dietz, R, Hauptmann, K E, Grube, E, Kerber, S, Sechtem, U
(2008). Volume-outcome relation for contemporary percutaneous coronary interventions (PCI) in daily clinical practice: is it limited to high-risk patients? Results from the Registry of Percutaneous Coronary Interventions of the Arbeitsgemeinschaft Leitende Kardiologische Krankenhausarzte (ALKK). Heart
94: 329-335
[Abstract][Full Text]
Dawwas, M F, Gimson, A E, Lewsey, J D, Copley, L P, van der Meulen, J H P, on behalf of the UK and Ireland Liver Transplant A,
(2007). Survival after liver transplantation in the United Kingdom and Ireland compared with the United States. Gut
56: 1606-1613
[Abstract][Full Text]
Ahmad, J., Bryce, C. L., Cacciarelli, T., Roberts, M. S.
(2007). Differences in Access to Liver Transplantation: Disease Severity, Waiting Time, and Transplantation Center Volume. ANN INTERN MED
146: 707-713
[Abstract][Full Text]
Weimer, D. L.
(2007). Public and Private Regulation of Organ Transplantation: Liver Allocation and the Final Rule. Journal of Health Politics, Policy and Law
32: 9-49
[Abstract]
Manecke, G. R. Jr, Wilson, W. C., Auger, W. R., Jamieson, S. W.
(2005). Chronic Thromboembolic Pulmonary Hypertension and Pulmonary Thromboendarterectomy. SEMIN CARDIOTHORAC VASC ANESTH
9: 189-204
[Abstract]
Jain, N., Pietrobon, R., Hocker, S., Guller, U., Shankar, A., Higgins, L. D.
(2004). The Relationship Between Surgeon and Hospital Volume and Outcomes for Shoulder Arthroplasty. JBJS
86: 496-505
[Abstract][Full Text]
Imamura, H., Seyama, Y., Kokudo, N., Maema, A., Sugawara, Y., Sano, K., Takayama, T., Makuuchi, M.
(2003). One Thousand Fifty-Six Hepatectomies Without Mortality in 8 Years. Arch Surg
138: 1198-1206
[Abstract][Full Text]
Panageas, K. S., Schrag, D., Riedel, E., Bach, P. B., Begg, C. B.
(2003). The Effect of Clustering of Outcomes on the Association of Procedure Volume and Surgical Outcomes. ANN INTERN MED
139: 658-665
[Abstract][Full Text]
Lewis, C. W., Carron, J. D., Perkins, J. A., Sie, K. C. Y., Feudtner, C.
(2003). Tracheotomy in Pediatric Patients: A National Perspective. Arch Otolaryngol Head Neck Surg
129: 523-529
[Abstract][Full Text]
Hu, J. C., Gold, K. F., Pashos, C. L., Mehta, S. S., Litwin, M. S.
(2003). Role of Surgeon Volume in Radical Prostatectomy Outcomes. JCO
21: 401-405
[Abstract][Full Text]
Cloft, H. J., Tomsick, T. A., Kallmes, D. F., Goldstein, J. H., Connors, J. J.
(2002). Assessment of the Interventional Neuroradiology Workforce in the United States: A Review of the Existing Data. Am. J. Neuroradiol.
23: 1700-1705
[Full Text]
Esserman, L., Cowley, H., Eberle, C., Kirkpatrick, A., Chang, S., Berbaum, K., Gale, A.
(2002). Improving the Accuracy of Mammography: Volume and Outcome Relationships. JNCI J Natl Cancer Inst
94: 369-375
[Abstract][Full Text]
Spiegelhalter, D. J
(2002). Mortality and volume of cases in paediatric cardiac surgery: retrospective study based on routinely collected data. BMJ
324: 261-261
[Abstract][Full Text]
Llovet, J M, Mas, X, Aponte, J J, Fuster, J, Navasa, M, Christensen, E, Rodes, J, Bruix, J
(2002). Cost effectiveness of adjuvant therapy for hepatocellular carcinoma during the waiting list for liver transplantation. Gut
50: 123-128
[Abstract][Full Text]
Katz, J. N., Losina, E., Barrett, J., Phillips, C. B., Mahomed, N. N., Lew, R. A., Guadagnoli, E., Harris, W. H., Poss, R., Baron, J. A.
(2001). Association Between Hospital and Surgeon Procedure Volume and Outcomes of Total Hip Replacement in the United States Medicare Population. JBJS
83: 1622-1629
[Abstract][Full Text]
Bennett-Guerrero, E., Feierman, D. E., Barclay, G. R., Parides, M. K., Sheiner, P. A., Mythen, M. G., Levine, D. M., Parker, T. S., Carroll, S. F., White, M. L., Winfree, W. J.
(2001). Preoperative and Intraoperative Predictors of Postoperative Morbidity, Poor Graft Function, and Early Rejection in 190 Patients Undergoing Liver Transplantation. Arch Surg
136: 1177-1183
[Abstract][Full Text]
Bach, P. B., Cramer, L. D., Schrag, D., Downey, R. J., Gelfand, S. E., Begg, C. B.
(2001). The Influence of Hospital Volume on Survival after Resection for Lung Cancer. NEJM
345: 181-188
[Abstract][Full Text]
Cronin, D. C. II., Millis, J. M., Siegler, M.
(2001). Transplantation of Liver Grafts from Living Donors into Adults -- Too Much, Too Soon. NEJM
344: 1633-1637
[Full Text]
Schrag, D., Cramer, L. D., Bach, P. B., Cohen, A. M., Warren, J. L., Begg, C. B.
(2000). Influence of Hospital Procedure Volume on Outcomes Following Surgery for Colon Cancer. JAMA
284: 3028-3035
[Abstract][Full Text]
Laks, M. P., Cohen, T., Hack, R., Hillebrand, D. J., Concepcion, W., Bettschart, V., Burnand, B., Mosimann, F., Edwards, E. B., Roberts, J. P., Hunsicker, L. G.
(2000). Volume of Procedures at Transplantation Centers and Mortality after Liver Transplantation. NEJM
342: 1527-1528
[Full Text]