Nino Dzebisashvili
Saint Louis University
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Publication
Featured researches published by Nino Dzebisashvili.
Clinical Journal of The American Society of Nephrology | 2010
David A. Axelrod; Nino Dzebisashvili; Mark A. Schnitzler; Paolo R. Salvalaggio; Dorry L. Segev; Sommer E. Gentry; Janet E. Tuttle-Newhall; Krista L. Lentine
BACKGROUND AND OBJECTIVES Variation in kidney transplant access across the United States may motivate relocation of patients with ability to travel to better-supplied areas. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We examined national transplant registry and U.S. Census data for kidney transplant candidates listed in 1999 to 2009 with a reported residential zip code (n = 203,267). Coxs regression was used to assess associations of socioeconomic status (SES), distance from residence to transplant center, and relocation to a different donation service area (DSA) with transplant access and outcomes. RESULTS Patients in the highest SES quartile had increased access to transplant compared with those with lowest SES, driven strongly by 76% higher likelihood of living donor transplantation (adjusted hazard ratio [aHR] 1.76, 95% confidence interval [CI] 1.70 to 1.83). Waitlist death was reduced in high compared with low SES candidates (aHR 0.86, 95% CI 0.84 to 0.89). High SES patients also experienced lower mortality after living and deceased donor transplant. Patients living farther from the transplant center had reduced access to deceased donor transplant and increased risk of post-transplant death. Inter-DSA travel was associated with a dramatic increase in deceased donor transplant access (HR 1.94, 95% CI 1.88 to 2.00) and was predicted by high SES, white race, and longer deceased-donor allograft waiting time in initial DSA. CONCLUSIONS Ongoing disparities exist in kidney transplantation access and outcomes on the basis of geography and SES despite near-universal insurance coverage under Medicare. Inter-DSA travel improves access and is more common among high SES candidates.
Liver Transplantation | 2011
Paolo R. Salvalaggio; Nino Dzebisashvili; Kara MacLeod; Krista L. Lentine; Adrian Gheorghian; Mark A. Schnitzler; Samuel F. Hohmann; Dorry L. Segev; Sommer E. Gentry; David A. Axelrod
Accurate assessment of the impact of donor quality on liver transplant (LT) costs has been limited by the lack of a large, multicenter study of detailed clinical and economic data. A novel, retrospective database linking information from the University HealthSystem Consortium and the Organ Procurement and Transplantation Network registry was analyzed using multivariate regression to determine the relationship between donor quality (assessed through the Donor Risk Index [DRI]), recipient illness severity, and total inpatient costs (transplant and all readmissions) for 1 year following LT. Cost data were available for 9059 LT recipients. Increasing MELD score, higher DRI, simultaneous liver–kidney transplant, female sex, and prior liver transplant were associated with increasing cost of LT (P < 0.05). MELD and DRI interact to synergistically increase the cost of LT (P < 0.05). Donors in the highest DRI quartile added close to
Liver Transplantation | 2009
Paula Buchanan; Nino Dzebisashvili; Krista L. Lentine; David A. Axelrod; Mark A. Schnitzler; Paolo R. Salvalaggio
12,000 to the cost of transplantation and nearly
Transplantation | 2009
Lisa M. Willoughby; Mark A. Schnitzler; Daniel C. Brennan; Brett Pinsky; Nino Dzebisashvili; Paula Buchanan; Luca Neri; Lisa A. Rocca-Rey; Kevin C. Abbott; Krista L. Lentine
22,000 to posttransplant costs in comparison to the lowest risk donors. Among the individual components of the DRI, donation after cardiac death (increased costs by
American Journal of Transplantation | 2011
David A. Axelrod; Adrian Gheorghian; Mark A. Schnitzler; Nino Dzebisashvili; Paolo R. Salvalaggio; Janet E. Tuttle-Newhall; Dorry L. Segev; Sommer E. Gentry; Samuel F. Hohmann; Robert M. Merion; Krista L. Lentine
20,769 versus brain dead donors) had the greatest impact on transplant costs. Overall, 1‐year costs were increased in older donors, minority donors, nationally shared organs, and those with cold ischemic times of 7‐13 hours (P < 0.05 for all). In conclusion, donor quality, as measured by the DRI, is an independent predictor of LT costs in the perioperative and postoperative periods. Centers in highly competitive regions that perform transplantation on higher MELD patients with high DRI livers may be particularly affected by the synergistic impact of these factors. Liver Transpl, 2011.
Transplantation | 2013
Nino Dzebisashvili; Allan B. Massie; Krista L. Lentine; Mark A. Schnitzler; Dorry L. Segev; Janet E. Tuttle-Newhall; Sommer E. Gentry; Richard B. Freeman; David A. Axelrod
We examined the relationship between the total cost incurred by liver transplantation (LT) recipients and their Model for End‐Stage Liver Disease (MELD) score at the time of transplant. We used a novel database linking billing claims from a large private payer with the Organ Procurement and Transplantation Network registry. Included were adults who underwent LT from March 2002 through August 2007 (n = 990). Claims within the year preceding and following transplantation were analyzed according to the recipients calculated MELD score. Cost was the primary endpoint and was assessed by the length of stay and charges. Transplant admission charges represented approximately 50% of the total cost of LT. MELD was a significant cost driver for pretransplant, transplant, and total charges. A MELD score of 28 to 40 was associated with additional charges of
Diabetes Care | 2009
Paolo R. Salvalaggio; Nino Dzebisashvili; Brett Pinsky; Mark A. Schnitzler; Thomas E. Burroughs; Ralph J. Graff; David A. Axelrod; Daniel C. Brennan; Krista L. Lentine
349,213 (P < 0.05) in comparison with a score of 15 to 20. Pretransplant and transplant admission charges were higher by
American Journal of Transplantation | 2015
David A. Axelrod; Nino Dzebisashvili; Krista L. Lentine; Huiling Xiao; Mark A. Schnitzler; Janet E. Tuttle-Newhall; Dorry L. Segev
152,819 (P < 0.05) and
American Journal of Transplantation | 2016
Sommer E. Gentry; E. Chow; Nino Dzebisashvili; Mark A. Schnitzler; Krista L. Lentine; C. E. Wickliffe; Eugene Shteyn; Joshua Pyke; Ajay K. Israni; B. L. Kasiske; Dorry L. Segev; David A. Axelrod
64,286 (P < 0.05), respectively, in this higher MELD group. No differences by MELD score were found for posttransplant charges. Those in the highest MELD group also experienced longer hospital stays both in the pretransplant period and at the time of LT but did not have higher rates of re‐admissions. In conclusion, high‐MELD patients incur significantly higher costs prior to and at the time of LT. Following LT, the MELD score is not a significant predictor of cost or re‐admission. Liver Transpl 15:1270–1277, 2009.
American Journal of Transplantation | 2008
N. Krishnan; Paula Buchanan; Nino Dzebisashvili; Huiling Xiao; Mark A. Schnitzler; Daniel C. Brennan
Background. Retrospective comparison of treatment-related kidney transplant outcomes may be facilitated by multivariable statistical adjustments and case-matching. Methods. We studied Organ Procurement and Transplantation Network registry data for kidney transplants in 2001 to 2005 managed with thymoglobulin, basiliximab, or no antibody induction and discharge maintenance immunosuppression regimens of tacrolimus and mycophenolate mofetil. The primary outcome was the 6 month, Food and Drug Administration-approved composite endpoint of rejection, graft failure, or death. Outcomes according to induction exposure were compared using logistic regression analysis, exposure likelihood matching, and outcome risk score matching. Results. All statistical approaches demonstrated lower rates of the 6-month triple endpoint with thymoglobulin compared with basiliximab when steroids were present, with approximately 22% adjusted, relative reduction by logistic regression analysis and 3% absolute reductions by matching approaches. When steroids were absent, risk reduction among thymoglobulin versus basiliximab-treated patients was of larger magnitude but borderline statistical significance. Triple endpoint incidence was lower with both induction regimens compared with no induction across methods. Estimated sample sizes necessary to detect the observed differences between induction types in the presence of steroids in a prospective trial ranged from 1600 to nearly 7000 patients. Conclusions. Consistency across statistical approaches suggests superiority of thymoglobulin compared with basiliximab or no antibody induction therapy for 6-month kidney transplant outcomes in the modern immunosuppression era. As the sample sizes necessary to power a prospective superiority trial are likely prohibitive, studies such as these provide clinically relevant information that may not be otherwise attainable.