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Transplant Proc ; 45(1): 297-300, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23375318

RESUMO

The Model for End-Stage Liver Disease (MELD), which predicts mortality on the waiting list before liver transplantation, has changed organ allocation criteria to prioritize severely ill patients. The aim of this study was to investigate the impact of the new criteria on the incidence of Healthcare Associated Infections (HAI) and patient survival after liver transplantation. This retrospective cohort included liver transplant recipients from 2005 to 2007. Infection notification followed the recommended criteria of the National Healthcare Safety Network (NHSN). Statistical analysis was performed using the Statistical Package for the Social Sciences. Of 142 patients, 67 (47.2%) underwent transplantation before June 2006. There were no differences between the 2 periods considering patient gender, diagnosis, age, length of hospitalization, and mean time to first infection occurrence. However, the length of intensive care unit (ICU) hospitalization (P = .006) and central venous catheter (CVC) use (P = .025) were higher in the first period of the study. Comparison of time until first systemic infection before and after changes in allocation criteria showed no significant difference (log-rank = 0.06; P = .81). There was a trend toward greater lethality during the second period of the study (P = .09). There was no difference in time to death between the 2 periods (log-rank = 0.9; P = .76). However, when comparing time to death of all patients with systemic infection versus those without this event, patients without infection showed a higher mortality rate (log-rank = 15.7; P < .001).


Assuntos
Doença Hepática Terminal/patologia , Doença Hepática Terminal/terapia , Falência Hepática/cirurgia , Transplante de Fígado/métodos , Obtenção de Tecidos e Órgãos/métodos , Listas de Espera , Adolescente , Adulto , Idoso , Algoritmos , Brasil , Estudos de Coortes , Doenças Transmissíveis/complicações , Doenças Transmissíveis/terapia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Modelos Estatísticos , Fatores de Tempo , Resultado do Tratamento , Adulto Jovem
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