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1.
Transpl Int ; 35: 10056, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35734238

RESUMEN

The increasing comorbidity of kidney transplant (KT) donors make it necessary to develop scores to correctly assess the quality of kidney grafts. This study analyzes the usefulness of the preimplantation biopsy and the Kidney Donor Profile Index (KDPI) as indicators of KT survival from expanded criteria donors (ECD). Retrospective study of KT in our center between January 2010 to June 2019 who received a kidney from an ECD and underwent a preimplantation biopsy. 266 KT were included. Graft survival was categorized by KDPI quartiles: Q1 = 86%, Q2 = 95%, Q3 = 99% and Q4 = 100%. KT from KDPI Q1 presented better survival (p = 0.003) and Q4 donors had worse renal function (p = 0.018) and poorer glomerular filtration rate (3rd month; p = 0.017, 1st year; p = 0.010). KT survival was analyzed according to KDPI quartile and preimplantation biopsy score simultaneously: Q1 donors with biopsy score ≤3 had the best survival, especially comparing against Q3 with a biopsy score >3 and Q4 donors (p = 0.014). In multivariable analysis, hyaline arteriopathy, glomerulosclerosis, and KDPI Q4 were predictors for graft survival. High KDPI and a greater histological injury in the preimplantation biopsy, especially glomerular and vascular lesions, were related to a higher rate of KT loss from ECD.


Asunto(s)
Trasplante de Riñón , Biopsia , Supervivencia de Injerto , Humanos , Riñón/patología , Estudios Retrospectivos , Donantes de Tejidos
2.
Transplant Proc ; 54(1): 27-31, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-34876270

RESUMEN

BACKGROUND: Surgical wound dehiscence (SWD) is a frequent complication after kidney transplantation (KT) but there is not enough evidence of its impact on graft survival. METHODS: A retrospective cohort study including all KT patients with SWD in our center from January 2015 to July 2020 was performed. A case-control study was performed and for each case of SWD, 2 controls were selected (2:1). To identify risk factors for SWD, a logistic regression analysis was carried out and a multivariable Cox regression was used to describe risk factors for graft survival. RESULTS: In our center, 503 KT were performed, and 39 patients presented SWD. They were older (62.1 vs 57.1 years; P = .030), most had diabetes mellitus (59% vs 28.6%; P = .002) and their body mass index was higher (31 vs 26.9 kg/m2; P < .001). In multivariable logistic regression analysis, diabetes mellitus (P = .024) and a body mass index ≥30 kg/m2 at time of transplantation (P = .018) were predictors of SWD. A higher rate of delayed graft function was described in SWD (P = .013) and it was associated with a longer hospital stay (20.9 vs 15 days; P = .004). Graft survival was lower in patients with SWD (P = .036). In multivariable Cox regression analysis, time in renal replacement therapy (P = .020) and SWD (P = .028) were predictors of shorter graft survival. CONCLUSION: SWD is a risk factor for graft survival. The presence of diabetes mellitus and a higher body mass index are predictors for the appearance of this complication.


Asunto(s)
Supervivencia de Injerto , Trasplante de Riñón , Estudios de Casos y Controles , Humanos , Trasplante de Riñón/efectos adversos , Estudios Retrospectivos , Factores de Riesgo , Dehiscencia de la Herida Operatoria/epidemiología , Dehiscencia de la Herida Operatoria/etiología
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