Literature DB >> 24650360

Kinetics of peripheral blood lymphocyte subpopulations predicts the occurrence of opportunistic infection after kidney transplantation.

Mario Fernández-Ruiz1, Francisco López-Medrano, Luis M Allende, Amado Andrés, Ana García-Reyne, Carlos Lumbreras, Rafael San-Juan, José M Morales, Estela Paz-Artal, José M Aguado.   

Abstract

Serial monitoring of peripheral blood lymphocyte subpopulations (PBLSs) counts might be useful in predicting post-transplant opportunistic infection (OI) after kidney transplantation (KT). PBLSs were prospectively measured in 304 KT recipients at baseline and post-transplant months 1 and 6. Areas under receiver operating characteristic curves were used to evaluate the accuracy of different subpopulations in predicting the occurrence of overall OI and, specifically, cytomegalovirus (CMV) disease. We separately analyzed patients not receiving (n = 164) or receiving (n = 140) antithymocyte globulin (ATG) as induction therapy. In the non-ATG group, a CD8(+) T-cell count at month 1 <0.100 × 10(3) cells/μl had negative predictive values of 0.84 and 0.86 for the subsequent occurrence of overall OI and CMV disease, respectively. In the multivariate Cox model, a CD8(+) T-cell count <0.100 × 10(3) cells/μl was an independent risk factor for OI (adjusted hazard ratio: 3.55; P-value = 0.002). In the ATG group, a CD4(+) T-cell count at month 1 <0.050 × 10(3) cells/μl showed negative predictive values of 0.92 for the subsequent occurrence of overall OI and CMV disease. PBLSs monitoring effectively identify KT recipients at low risk of OI, providing an opportunity for individualizing post-transplant prophylaxis practices.
© 2014 Steunstichting ESOT.

Entities:  

Keywords:  cytomegalovirus; kidney transplantation; lymphocytopenia; monitoring; opportunistic infection; peripheral blood lymphocyte subpopulations

Mesh:

Substances:

Year:  2014        PMID: 24650360     DOI: 10.1111/tri.12321

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  14 in total

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2.  Absolute Lymphocyte Count: A Predictor of Recurrent Cytomegalovirus Disease in Solid Organ Transplant Recipients.

Authors:  Bradley J Gardiner; Natalie E Nierenberg; Jennifer K Chow; Robin Ruthazer; David M Kent; David R Snydman
Journal:  Clin Infect Dis       Date:  2018-10-15       Impact factor: 9.079

3.  Association Between Lymphopenia at 1 Month Posttransplant and Infectious Outcomes or Death in Heart Transplant Recipients.

Authors:  Whitney A Perry; Jessica K Paulus; Lori Lyn Price; David R Snydman; Jennifer K Chow
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Journal:  J Int Med Res       Date:  2017-06-29       Impact factor: 1.671

5.  In vitro intracellular IFNγ, IL-17 and IL-10 producing T cells correlates with the occurrence of post-transplant opportunistic infection in liver and kidney recipients.

Authors:  Francisco Boix; Santiago Llorente; Jorge Eguía; Gema Gonzalez-Martinez; Rafael Alfaro; Jose A Galián; Jose A Campillo; María Rosa Moya-Quiles; Alfredo Minguela; Jose A Pons; Manuel Muro
Journal:  World J Transplant       Date:  2018-02-24

6.  Effect of Immunosuppression on Target Blood Immune Cells Within 1 Year After Lung Transplantation: Influence of Age on T Lymphocytes.

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7.  T-lymphocyte subsets in lung transplant recipients: association between nadir CD4 T-cell count and viral infections after transplantation.

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Review 8.  Diagnostic and therapeutic approach to infectious diseases in solid organ transplant recipients.

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9.  The CD4 Lymphocyte Count is a Better Predictor of Overall Infection Than the Total Lymphocyte Count in ANCA-Associated Vasculitis Under a Corticosteroid and Cyclophosphamide Regimen: A Retrospective Cohort.

Authors:  Yi-Yun Shi; Zhi-Ying Li; Ming-Hui Zhao; Min Chen
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

10.  CD19+ B-Cells, a New Biomarker of Mortality in Hemodialysis Patients.

Authors:  María Molina; Luis M Allende; Luis E Ramos; Eduardo Gutiérrez; Daniel E Pleguezuelo; Eduardo R Hernández; Francisco Ríos; Cristina Fernández; Manuel Praga; Enrique Morales
Journal:  Front Immunol       Date:  2018-06-15       Impact factor: 7.561

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