Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/36072
Title: A simple score can identify kidney transplant recipients at high risk of severe infection over the following 2 years.
Authors: Dendle C. ;Mulley W.R.;Polkinghorne K.R. ;Holdsworth S.R. ;Thursky K.;Stuart R.L. ;Kanellis J.;Gan P.-Y.
Monash Health Department(s): Infectious Diseases and Clinical Microbiology
Institution: (Dendle, Polkinghorne, Mulley, Gan, Kanellis, Stuart, Holdsworth) Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, VIC, Australia (Dendle, Stuart) Monash Infectious Diseases, Monash Health, Clayton, VIC, Australia (Polkinghorne, Mulley, Kanellis, Holdsworth) Department of Nephrology, Monash Medical Centre, Clayton, VIC, Australia (Polkinghorne) Department of Epidemiology and Preventive Medicine, Monash University, Prahran, VIC, Australia (Thursky) National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
Issue Date: 13-Jun-2019
Copyright year: 2019
Publisher: Blackwell Publishing Inc. (E-mail: subscrip@blackwellpub.com)
Place of publication: United States
Publication information: Transplant Infectious Disease. 21 (3) (no pagination), 2019. Article Number: e13076. Date of Publication: June 2019.
Journal: Transplant Infectious Disease
Abstract: Background: The aim of this study was to determine whether a composite score of simple immune biomarkers and clinical characteristics could predict severe infections in kidney transplant recipients. Method(s): We conducted a prospective study of 168 stable kidney transplant recipients who underwent measurement of lymphocyte subsets, immunoglobulins, and renal function at baseline and were followed up for 2 years for the development of any severe infections, defined as infection requiring hospitalization. A point score was developed to predict severe infection based on logistic regression analysis of factors in baseline testing. Result(s): Fifty-nine (35%) patients developed severe infection, 36 (21%) had two or more severe infections, and 3 (2%) died of infection. A group of 19 (11%) patients had the highest predicted infectious risk (>60%), as predicted by the score. Predictive variables were mycophenolate use, graft function, CD4+, and natural killer cell number. The level of immunosuppression score had an area under the receiver operating curve of 0.75 (95% CI: 0.67-0.83). Conclusion(s): Our level of immunosuppression score for predicting the development of severe infection over 2 years has sufficient prognostic accuracy for identification of high-risk patients. This data can inform research that examines strategies to reduce the risks of infection.Copyright © 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd
DOI: http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1111/tid.13076
PubMed URL: 30875147 [http://www.ncbi.nlm.nih.gov/pubmed/?term=30875147]
ISSN: 1398-2273
URI: https://repository.monashhealth.org/monashhealthjspui/handle/1/36072
Type: Article
Type of Clinical Study or Trial: Observational study (cohort, case-control, cross sectional or survey)
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