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Natural killer cell function predicts severe infection in kidney transplant recipients.
Dendle, Claire; Gan, Poh-Yi; Polkinghorne, Kevan R; Ngui, James; Stuart, Rhonda L; Kanellis, John; Thursky, Karin; Mulley, William R; Holdsworth, Stephen.
Afiliação
  • Dendle C; Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia.
  • Gan PY; Monash Infectious Diseases, Monash Health, Monash Medical Centre, Clayton, Victoria, Australia.
  • Polkinghorne KR; Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia.
  • Ngui J; Department of Immunology, Monash Pathology, Monash Health, Clayton, Victoria, Australia.
  • Stuart RL; Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia.
  • Kanellis J; Department of Nephrology, Monash Medical Centre, Clayton, Victoria, Australia.
  • Thursky K; Department of Epidemiology and Preventive Medicine, Monash University, Prahran, Victoria, Australia.
  • Mulley WR; Department of Immunology, Monash Pathology, Monash Health, Clayton, Victoria, Australia.
  • Holdsworth S; Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia.
Am J Transplant ; 19(1): 166-177, 2019 01.
Article em En | MEDLINE | ID: mdl-29708649
The aim of this study was to determine if natural killer cell number (CD3- /CD16± /CD56± ) and cytotoxic killing function predicts severity and frequency of infection in kidney transplant recipients. A cohort of 168 kidney transplant recipients with stable graft function underwent assessment of natural killer cell number and functional killing capacity immediately prior to entry into this prospective study. Participants were followed for 2 years for development of severe infection, defined as hospitalization for infection. Area under receiver operating characteristic (AUROC) curves were used to evaluate the accuracy of natural killer cell number and function for predicting severe infection. Adjusted odds ratios were determined by logistic regression. Fifty-nine kidney transplant recipients (35%) developed severe infection and 7 (4%) died. Natural killer cell function was a better predictor of severe infection than natural killer cell number: AUROC 0.84 and 0.75, respectively (P = .018). Logistic regression demonstrated that after adjustment for age, transplant function, transplant duration, mycophenolate use, and increasing natural killer function (odds ratio [OR] 0.82, 95% confidence interval [CI] 0.74-0.90; P < .0001) but not natural killer number (OR 0.96, 95% CI 0.93-1.00; P = .051) remained significantly associated with a reduced likelihood of severe infection. Natural killer cell function predicts severe infection in kidney transplant recipients.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Células Matadoras Naturais / Transplante de Rim / Infecções por Citomegalovirus / Transplantados Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Am J Transplant Assunto da revista: TRANSPLANTE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Células Matadoras Naturais / Transplante de Rim / Infecções por Citomegalovirus / Transplantados Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Am J Transplant Assunto da revista: TRANSPLANTE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Austrália