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de Sandes-Freitas TV, Mazzali M, Manfro RC, de Andrade LGM, Vicari AR, de Sousa MV, Medina Pestana JO, Garcia VD, de Carvalho DRDBM, de Matos Esmeraldo R, de Oliveira CMC, Simão DR, Deboni LM, David-Neto E, Cavalcanti FCB, Pacheco-Silva Á, Ferreira GF, Madeira RL, Bignelli AT, Meira GSG, Lasmar EP, Keitel E, de Azevedo Matuck T, da Costa SD, Nga HS, Fernandes PFCBC, Narciso HR, Vieira MA, Agena F, Fonseca IB, de Matos ACC, Bastos J, Villaça SS, Hokazono SR, Silva ARB, Lasmar M, Tedesco-Silva H. Exploring the causes of the high incidence of delayed graft function after kidney transplantation in Brazil: a multicenter study. Transpl Int 2021; 34:1093-1104. [PMID: 33742470 DOI: 10.1111/tri.13865] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 02/17/2021] [Accepted: 03/13/2021] [Indexed: 11/30/2022]
Abstract
This retrospective multicenter (n = 18) cohort study evaluated the incidence, risk factors, and the impact of delayed graft function (DGF) on 1-year kidney transplant (KT) outcomes. Of 3992 deceased donor KT performed in 2014-2015, the incidence of DGF was 54%, ranging from 29.9% to 87.7% among centers. Risk factors (lower-bound-95%CI OR upper-bound-95%CI ) were male gender (1.066 1.2491.463 ), diabetic kidney disease (1.053 1.2961.595 ), time on dialysis (1.005 1.0071.009 ), retransplantation (1.035 1.3971.885 ), preformed anti-HLA antibodies (1.011 1.3831.892 ), HLA mismatches (1.006 1.0661.130 ), donor age (1.011 1.0171.023 ), donor final serum creatinine (sCr) (1.239 1.3171.399 ), cold ischemia time (CIT) (1.031 1.0431.056 ), machine perfusion (0.401 0.5420.733 ), and induction therapy with rabbit antithymocyte globulin (rATG) (0.658 0.8000.973 ). Duration of DGF > 4 days was associated with inferior renal function and DGF > 14 days with the higher incidences of acute rejection, graft loss, and death. In conclusion, the incidence and duration of DGF were high and associated with inferior graft outcomes. While late referral and poor donor maintenance account for the high overall incidence of DGF, variability in donor and recipient selection, organ preservation method, and type of induction agent may account for the wide variation observed among transplant centers.
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Affiliation(s)
- Tainá Veras de Sandes-Freitas
- Departmento de Medicina Clínica, Universidade Federal do Ceará, Fortaleza, CE, Brazil.,Hospital Geral de Fortaleza, Fortaleza, CE, Brazil
| | - Marilda Mazzali
- Hospital de Clínicas da Universidade de Campinas, Campinas, SP, Brazil
| | | | | | | | | | - José Osmar Medina Pestana
- Hospital do Rim, Fundação Oswaldo Ramos, São Paulo, SP, Brazil.,Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
| | | | | | | | | | | | | | - Elias David-Neto
- Hospital de Clínicas da Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Álvaro Pacheco-Silva
- Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.,Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | | | | | | | | | | | - Elizete Keitel
- Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil.,Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil
| | | | - Silvana Daher da Costa
- Departmento de Medicina Clínica, Universidade Federal do Ceará, Fortaleza, CE, Brazil.,Hospital Geral de Fortaleza, Fortaleza, CE, Brazil.,Hospital Universitário Walter Cantídio, Fortaleza, CE, Brazil
| | - Hong Si Nga
- Departmento de Medicina Interna, Universidade Estadual Paulista, Botucatu, SP, Brazil
| | | | | | | | - Fabiana Agena
- Hospital de Clínicas da Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Ana Cristina Carvalho de Matos
- Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.,Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | - Juliana Bastos
- Santa Casa de Misericórdia de Juiz de Fora, Juiz de Fora, MG, Brazil
| | | | | | | | - Marcus Lasmar
- Hospital Universitário Ciências Médicas, Belo Horizonte, MG, Brazil
| | - Hélio Tedesco-Silva
- Hospital do Rim, Fundação Oswaldo Ramos, São Paulo, SP, Brazil.,Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
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Parajuli S, Muth BL, Astor BC, Redfield RR, Mandelbrot DA, Odorico JS, Djamali A, Kaufman DB. Delayed kidney graft function in simultaneous pancreas-kidney transplant recipients is associated with early pancreas allograft failure. Am J Transplant 2020; 20:2822-2831. [PMID: 32306520 DOI: 10.1111/ajt.15923] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/13/2020] [Accepted: 04/02/2020] [Indexed: 01/25/2023]
Abstract
Delayed graft function (DGF) is a common complication associated with significant untoward effects in kidney-alone transplantation. The incidence and outcomes following kidney delayed graft function (K-DGF) among patients undergoing simultaneous pancreas-kidney (SPK) transplantation are less certain. We analyzed SPK recipients transplanted at our center between January 1994 and December 2017. A total of 632 recipients fulfilled the selection criteria, including 69 (11%) with K-DGF and 563 without. The incidence of K-DGF was significantly higher in recipients of organs from older donors and donation after circulatory death (DCD). The presence of K-DGF was significantly associated with an increased risk of pancreas graft failure during the first 90 days (n = 9, incidence rate [IR] 2.45/100 person-months), but not with late pancreas failure (n = 32, IR 0.84/100 person-months), kidney graft failure, or patient death. Although DCD was associated with K-DGF, it was not associated with either pancreas (hazard ratio [HR] 0.91, 95% CI 0.58-1.44, P = .69) or kidney (HR 1.09, 95% CI 0.66-1.82, P = .74) graft failure after adjustment for potential confounders. We found K-DGF to be a significant risk factor for pancreas graft failure but not kidney graft failure, with the major risk period being early (<90 days) posttransplant, and the major donor risk factor being older donor age.
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Affiliation(s)
- Sandesh Parajuli
- Division of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Brenda L Muth
- Division of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Brad C Astor
- Division of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Robert R Redfield
- Division of Transplant Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Didier A Mandelbrot
- Division of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jon S Odorico
- Division of Transplant Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Arjang Djamali
- Division of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Division of Transplant Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Dixon B Kaufman
- Division of Transplant Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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Costa SD, de Andrade LGM, Barroso FVC, de Oliveira CMC, Daher EDF, Fernandes PFCBC, Esmeraldo RDM, de Sandes-Freitas TV. The impact of deceased donor maintenance on delayed kidney allograft function: A machine learning analysis. PLoS One 2020; 15:e0228597. [PMID: 32027717 PMCID: PMC7004552 DOI: 10.1371/journal.pone.0228597] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 01/18/2020] [Indexed: 12/23/2022] Open
Abstract
Background This study evaluated the risk factors for delayed graft function (DGF) in a country where its incidence is high, detailing donor maintenance-related (DMR) variables and using machine learning (ML) methods beyond the traditional regression-based models. Methods A total of 443 brain dead deceased donor kidney transplants (KT) from two Brazilian centers were retrospectively analyzed and the following DMR were evaluated using predictive modeling: arterial blood gas pH, serum sodium, blood glucose, urine output, mean arterial pressure, vasopressors use, and reversed cardiac arrest. Results Most patients (95.7%) received kidneys from standard criteria donors. The incidence of DGF was 53%. In multivariable logistic regression analysis, DMR variables did not impact on DGF occurrence. In post-hoc analysis including only KT with cold ischemia time<21h (n = 220), urine output in 24h prior to recovery surgery (OR = 0.639, 95%CI 0.444–0.919) and serum sodium (OR = 1.030, 95%CI 1.052–1.379) were risk factors for DGF. Using elastic net regularized regression model and ML analysis (decision tree, neural network and support vector machine), urine output and other DMR variables emerged as DGF predictors: mean arterial pressure, ≥ 1 or high dose vasopressors and blood glucose. Conclusions Some DMR variables were associated with DGF, suggesting a potential impact of variables reflecting poor clinical and hemodynamic status on the incidence of DGF.
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Affiliation(s)
- Silvana Daher Costa
- Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
- Walter Cantídio University Hospital, Fortaleza, Ceará, Brazil
- Hospital Geral de Fortaleza, Fortaleza, Ceará, Brazil
| | | | | | | | | | | | | | - Tainá Veras de Sandes-Freitas
- Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
- Hospital Geral de Fortaleza, Fortaleza, Ceará, Brazil
- * E-mail:
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Ziaja J, Król R, Pawlicki J, Heitzman M, Wilk J, Kowalik A, Bożek-Pająk D, Sekta S, Cierpka L. Donor-dependent risk factors for early surgical complications after simultaneous pancreas-kidney transplantation. Transplant Proc 2012; 43:3092-6. [PMID: 21996234 DOI: 10.1016/j.transproceed.2011.08.072] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION The success of simultaneous pancreas-kidney transplantation (SPK) depends in a large degree on avoidance of surgical complications in the early postoperative period. The aim of the study was to analyze the Pre-procurement Pancreas Allocation Suitability Score (P-PASS) and the deceased donor parameters included within it as risk factors for early surgical complications after SPK. MATERIAL AND METHODS Forty-six consecutive donors whose kidney and pancreas were simultaneously transplanted were included in the study. RESULTS Donor age was older among recipients who lost their pancreatic grafts: 30.4±6.9 versus 24.1±6.9 years. Donor age was also older among recipients who lost their pancreatic grafts or died compared with those discharged with a functioning graft: 29.3±5.7 versus 24.0±6.9 years. Donor body mass index (BMI) was higher among patients who died compared with those who were discharged: 25.3±1.1 versus 23.2±2.5 kg/m2. P-PASS was higher in patients who lost their pancreatic grafts (17.6±2.1 vs 15.2±1.8) or died (15.3±1.9 vs 17.2±1.9), or lost pancreatic graft or died (15.2±1.8 vs 17.0±2.2) or with intra-abdominal infections (IAI; 17.1±1.7 vs 15.0±1.8). The incidence of donors≥30 years old was higher among recipients with IAI (45.4% vs 14.3%; P=.04). An higher rate of donors with P-PASS>16 was revealed among patients who lost their pancreatic grafts (26.7% vs 3.2%), died (26.7% vs 3.2%), lost the pancreatic graft or died (33.3% vs 6.4%), or experienced IAI (46.7% vs 9.7%). Multivariate logistic regression analysis revealed P-PASS (odds ratio 2.57; P=.014) and serum sodium (odds ration, 0.91; P=.048) to be important predictors of IAI development. CONCLUSION Older age and higher BMI among deceased donors increased the risk of IAI, pancreatic graft loss, or recipient death after SPK. Transplantation of a pancreas from a donor with a low P-PASS score was associated with a lower risk of surgical complications after SPK.
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Affiliation(s)
- J Ziaja
- Department of General, Vascular and Transplant Surgery, Medical University of Silesia, Katowice, Warsaw, Poland.
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