Literature DB >> 16030032

Leukocyte phenotype and function predicts infection risk in renal transplant recipients.

Martin Blazik1, Paul Hutchinson, Matthew D Jose, Kevan R Polkinghorne, Stephen R Holdsworth, Robert C Atkins, Steven J Chadban.   

Abstract

BACKGROUND: The degree to which transplant recipients are immunosuppressed influences their risks of rejection, infection and cancer. Current measures of immune suppression are crude (clinical events) or indirect (drug exposure). We assessed a direct measure of immune status, leukocyte phenotype and function (LPF, a composite measure of five aspects of peripheral blood leukocyte phenotype and function), as a predictor of infection.
METHODS: A double-blind, prospective, cohort study was conducted, to determine the burden of infection in stable renal transplant recipients with moderate-severe (Group I, n = 34) or minimal (Group II, n = 36) impairment of LPF, a composite score of: (i) CD4 count; (ii) lymphocyte proliferation in response to phytohaemagglutinin A (PHA); (iii) serum Ig concentrations; (iv) neutrophil phagocytic function; and (v) reactive oxygen species generation. Subjects completed a 6 month diary and each recorded infection was scored 1-4: 1, minor undefined infection (e.g. URTI); 2, minor, microbiologically defined infection (e.g. UTI); 3, major defined infection (requiring hospitalization); 4, opportunistic infection (e.g. Herpes zoster). Final infection score was the sum of all infective episodes. Subjects were then followed-up for 5 years for outcome measures.
RESULTS: Groups were well matched for age, sex, diabetes, serum creatinine, rejection and trough cyclosporin concentrations. Group I (moderate to severe impairment of LPF) recorded a higher infection score, 2.4+/-2.8 vs 1.2+/-1.2 for Group II, P = 0.02, due to a higher incidence of moderate to severe infection. This relationship was confirmed by multivariate analysis (OR 1.83, CI 1.08, 3.11, P = 0.03 per unit increase in infection score). During the 5 year follow-up period they had significantly more episodes of admission to hospital, and twice as many admissions due to infections, but no difference in malignancy, graft or patient outcome.
CONCLUSION: LPF testing prospectively identified a cohort who incurred a higher burden of infection. Further studies are required to determine the predictive value of LPF for acute rejection, infection and cancer, and to determine whether adjustments to therapy on the basis of LPF can lead to improved outcomes.

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Year:  2005        PMID: 16030032     DOI: 10.1093/ndt/gfi007

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  6 in total

1.  Recommendations for the assessment and reporting of multivariable logistic regression in transplantation literature.

Authors:  A C Kalil; J Mattei; D F Florescu; J Sun; R S Kalil
Journal:  Am J Transplant       Date:  2010-07       Impact factor: 8.086

2.  Ophthalmoscopy in the early diagnosis of opportunistic tuberculosis following renal transplant.

Authors:  Salil Mehta; Lohitaksha Suratkal
Journal:  Indian J Ophthalmol       Date:  2007 Sep-Oct       Impact factor: 1.848

3.  Cyclosporine A impairs nucleotide binding oligomerization domain (Nod1)-mediated innate antibacterial renal defenses in mice and human transplant recipients.

Authors:  Emilie Tourneur; Sanae Ben Mkaddem; Cécilia Chassin; Marcelle Bens; Jean-Michel Goujon; Nicolas Charles; Christophe Pellefigues; Meryem Aloulou; Alexandre Hertig; Renato C Monteiro; Stephen E Girardin; Dana J Philpott; Eric Rondeau; Carole Elbim; Catherine Werts; Alain Vandewalle
Journal:  PLoS Pathog       Date:  2013-01-31       Impact factor: 6.823

4.  Oral intake of heat-killed Lactobacillus plantarum L-137 decreases the incidence of upper respiratory tract infection in healthy subjects with high levels of psychological stress.

Authors:  Yoshitaka Hirose; Yoshihiro Yamamoto; Yasunobu Yoshikai; Shinji Murosaki
Journal:  J Nutr Sci       Date:  2013-12-06

5.  The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models.

Authors:  Bo Peng; Hang Gong; Han Tian; Quan Zhuang; Junhui Li; Ke Cheng; Yingzi Ming
Journal:  J Transl Med       Date:  2020-09-29       Impact factor: 5.531

Review 6.  Bacterial and Viral Infection and Sepsis in Kidney Transplanted Patients.

Authors:  Alberto Mella; Filippo Mariano; Caterina Dolla; Ester Gallo; Ana Maria Manzione; Maria Cristina Di Vico; Rossana Cavallo; Francesco Giuseppe De Rosa; Cristina Costa; Luigi Biancone
Journal:  Biomedicines       Date:  2022-03-18
  6 in total

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