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716 results on '"Segev D."'

4. Early Hospital Readmission After Simultaneous Pancreas-Kidney Transplantation: Patient and Center-Level Factors.

Author

King, E, Kucirka, L, McAdams-DeMarco, M, Massie, A, Al Ammary, Fawaz, Ahmed, R, Grams, M, and Segev, D

Subjects
clinical decision-making, clinical research/practice, health services and outcomes research, hospital readmission, pancreas/simultaneous pancreas-kidney transplantation, quality of care/care delivery, Adult, Age Factors, Bayes Theorem, Female, Follow-Up Studies, Graft Rejection, Graft Survival, Humans, Incidence, Kidney Transplantation, Length of Stay, Male, Pancreas Transplantation, Patient Discharge, Patient Readmission, Postoperative Complications, Prognosis, Risk Factors, Time Factors, Tissue Donors
Abstract

Early hospital readmission is associated with increased morbidity, mortality, and cost. Following simultaneous pancreas-kidney transplantation, rates of readmission and risk factors for readmission are unknown. We used United States Renal Data System data to study 3643 adult primary first-time simultaneous pancreas-kidney recipients from December 1, 1999 to October 31, 2011. Early hospital readmission was any hospitalization within 30 days of discharge. Modified Poisson regression was used to determine the association between readmission and patient-level factors. Empirical Bayes statistics were used to determine the variation attributable to center-level factors. The incidence of readmission was 55.5%. Each decade increase in age was associated with an 11% lower risk of readmission to age 40, beyond which there was no association. Donor African-American race was associated with a 13% higher risk of readmission. Each day increase in length of stay was associated with a 2% higher risk of readmission until 14 days, beyond which each day increase was associated with a 1% reduction in the risk of readmission. Center-level factors were not associated with readmission. The high incidence of early hospital readmission following simultaneous pancreas-kidney transplant may reflect clinical complexity rather than poor quality of care.

Published
2016

7. The Banff 2017 Kidney Meeting Report: Revised diagnostic criteria for chronic active T cell–mediated rejection, antibody‐mediated rejection, and prospects for integrative endpoints for next‐generation clinical trials

Author

Haas, M., Loupy, A., Lefaucheur, C., Roufosse, C., Glotz, D., Seron, D., Nankivell, B. J., Halloran, P. F., Colvin, R. B., Akalin, Enver, Alachkar, N., Bagnasco, S., Bouatou, Y., Becker, J. U., Cornell, L. D., van Huyen, J. P. Duong, Gibson, I. W., Kraus, Edward S., Mannon, R. B., Naesens, M., Nickeleit, V., Nickerson, P., Segev, D. L., Singh, H. K., Stegall, M., Randhawa, P., Racusen, L., Solez, K., and Mengel, M.

Published
2018
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10. Technical Note - An Approximate Dynamic Programming Approach to The Incremental Knapsack Problem

Author

Aouad, A and Segev, D

Subjects
Dynamic programming, VVD
Abstract

We study the incremental knapsack problem, where one wishes to sequentially pack items into a knapsack whose capacity expands over a finite planning horizon, with the objective of maximizing time-averaged profits. While various approximation algorithms were developed under mitigating structural assumptions, obtaining non-trivial performance guarantees for this problem in its utmost generality has remained an open question thus far. In this paper, we devise a polynomial-time approximation scheme for general instances of the incremental knapsack problem, which is the strongest guarantee possible given existing hardness results. In contrast to earlier work, our algorithmic approach exploits an approximate dynamic programming formulation. Starting with a simple exponentially sized dynamic program, we prove that an appropriate composition of state pruning ideas yields a polynomially sized state space with negligible loss of optimality. The analysis of this formulation synthesizes various techniques, including new problem decompositions, parsimonious counting arguments, and efficient rounding methods, that may be of broader interest.

Published
2022

11. The Incremental Cost of Incompatible Living Donor Kidney Transplantation: A National Cohort Analysis

Author

Axelrod, D., Lentine, K. L., Schnitzler, M. A., Luo, X., Xiao, H., Orandi, B. J., Massie, A., Garonzik‐Wang, J., Stegall, M. D., Jordan, S. C., Oberholzer, J., Dunn, T. B., Ratner, L. E., Kapur, S., Pelletier, R. P., Roberts, J. P., Melcher, M. L., Singh, P., Sudan, D. L., Posner, M. P., El‐Amm, J. M., Shapiro, R., Cooper, M., Lipkowitz, G. S., Rees, M. A., Marsh, C. L., Sankari, B. R., Gerber, D. A., Nelson, P. W., Wellen, J., Bozorgzadeh, A., Osama Gaber, A., Montgomery, R. A., and Segev, D. L.

Published
2017
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14. The Living Donor Collective: A Scientific Registry for Living Donors

Author

Kasiske, B. L., Asrani, S. K., Dew, M. A., Henderson, M. L., Henrich, C., Humar, A., Israni, A. K., Lentine, K. L., Matas, A. J., Newell, K. A., LaPointe Rudow, D., Massie, A. B., Snyder, J. J., Taler, S. J., Trotter, J. F., Waterman, A. D., Bailey, R., Barber, A., Berndt, L., Danovitch, G.M., Dunbar‐Forrest, M., Follmer, R., Haydel, B., Hunt, H.F., Kacani, P.J., Leander, S.A., Levey, AS, Lewis, M.A., Mathews, S.B., Myer, D.M., Olenick, D.J., Peipert, J.D., Rodrigue, J.R., Schwab, K., Segev, D., Shater, M., Shim, P., Steffens, E., Stencel, S., Stevens, M., Tenge, S., Thompson, B., and Wang, J.H.

Published
2017
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46. Quantifying the Risk of Incompatible Kidney Transplantation: A Multicenter Study

Author

Orandi, B. J., Garonzik-Wang, J. M., Massie, A. B., Zachary, A. A., Montgomery, J. R., Van Arendonk, K. J., Stegall, M. D., Jordan, S. C., Oberholzer, J., Dunn, T. B., Ratner, L. E., Kapur, S., Pelletier, R. P., Roberts, J. P., Melcher, M. L., Singh, P., Sudan, D. L., Posner, M. P., El-Amm, J. M., Shapiro, R., Cooper, M., Lipkowitz, G. S., Rees, M. A., Marsh, C. L., Sankari, B. R., Gerber, D. A., Nelson, P. W., Wellen, J., Bozorgzadeh, A., Gaber, A. O., Montgomery, R. A., and Segev, D. L.

Published
2014
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