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Transplant Proc ; 51(10): 3315-3319, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31735323

RESUMO

BACKGROUND: Previously published data have shown that age alone is not a contraindication for living donor liver transplantation (LDLT). However, careful evaluation is needed to identify the patients who are unlikely to benefit from LDLT. We hypothesized that the Charlson Comorbidity Index (CCI) could be used as one of the criteria for risk stratification in elderly patients undergoing LDLT. PATIENTS AND METHODS: There were 951 patients who underwent LDLT between October 2004 and February 2018. All recipients who were older than 60 years of age at the time of transplantation were identified. The comorbidity score was retrospectively assessed for each elderly patient according to the Charlson Comorbidity Index. Univariate and multivariate Cox regression analyses were performed to identify independent predictive factors for survival in elderly patients after LDLT. RESULTS: There were 96 patients (10.1%) in the age of > 60 years. All patients received the right lobe of their donor. Out of these patients, 18 (18.7%) died in the median time of 4 months. The remaining 78 patients (81.2%) are alive, with a median survival of 33 months. The CCI of these patients was significantly lower compared to the other 18 patients (2 versus 4). None of the patients with a CCI above 4 survived longer than 12 months. The results of the multivariate Cox regression analyses have shown that pulmonary disease, renal disease, and CCI are independent negative predictive factors for survival. CONCLUSION: The results of our study show clearly that the CCI has a significant influence on survival after LDLT in elderly patients and can be used as one of the selection criteria for LDLT in elderly patients.


Assuntos
Fatores Etários , Indicadores Básicos de Saúde , Transplante de Fígado/métodos , Seleção de Pacientes , Idoso , Idoso de 80 Anos ou mais , Comorbidade , Feminino , Humanos , Doadores Vivos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Valor Preditivo dos Testes , Modelos de Riscos Proporcionais , Estudos Retrospectivos , Fatores de Tempo
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