High risk of cytomegalovirus infection following solid organ transplantation despite prophylactic therapy.

Cytomegalovirus infection (CMV) in solid organ transplant recipients is a major clinical problem. The aim of this study was to evaluate the incidence of CMV infection and its association with mortality during the first year after transplantation in a large solid organ transplant cohort at the Royal Infirmary of Edinburgh between January 2006 and April 2009. Data including the use of CMV prophylaxis, nature of CMV disease, treatment and deceased date (when appropriate) was collected retrospectively using hospital databases and patient notes for all transplanted patients with detectable CMV viraemia. The outcomes between recipients of kidney and liver transplants in the four CMV donor/recipient serostatus categories (D+R+, D-R-, D+R-, D-R+) were compared. A total of 428 individuals were included. Despite the administration of valganciclovir prophylaxis, CMV disease (syndrome or end-organ involvement) was diagnosed within the year of transplantation in the D+R--group in 31.3% of liver and 19.2% of kidney recipients. All D+R- transplant recipients that received CMV-prophylaxis presented with late-onset CMV disease. Furthermore, the rate of CMV disease in the D+R+-group was markedly higher in renal graft recipients compared to liver recipients (22% vs. 5%). The highest mortality was observed among the D+R+ liver and kidney graft recipients with CMV infection. The high incidence of late-onset CMV disease in D+R- transplant recipients receiving CMV prophylaxis demonstrates that CMV disease remains an important problem after organ transplantation. Furthermore, the surprisingly high mortality in the D+R+-transplant patients with CMV viraemia highlights the need for proactive monitoring of this group.

Inter-laboratory comparison of HCV-RNA assay results: implications for multi-centre research.

To investigate whether it is appropriate to assume comparability of hepatitis virus C (HCV)-RNA results across laboratories in multi-centre studies, nine laboratories of the European Paediatric HCV Network participated in an international proficiency study of HCV-RNA assays. A panel of 12 samples of different dilutions and genotypes was sent to each laboratory and tested with qualitative and/or quantitative HCV-RNA assays according to local procedures. Commercial assays were used in seven laboratories and in-house assays in two. All six laboratories in which a commercial qualitative assay was used were proficient, as were four of six runs (in five laboratories) in which a commercial quantitative assay was used. The proficiency of the laboratories where in-house assays were used could not be assessed according to the VQC definition because of differences in the methods used. Overall, there were several false-negative results, but only one false-positive result with a quantitative assay and none with a qualitative assay. The false-negative results may have implications for the diagnosis of infection, and highlight the need for an antibody test to be performed at 18 months to confirm the absence of infection. The results of qualitative assays were generally consistent across laboratories but it was difficult to evaluate and compare the results of quantitative assays. Multivariate analysis of data collected in multi-centre studies should therefore allow for centre and/or assay used.

Association of antiretroviral resistance genotypes with response to therapy--comparison of three models.

Genotype-based resistance assays are commonly used to aid treatment in HIV-infected individuals failing antiretroviral therapy. The relationship between genotype and antiretroviral therapy comes mostly from in vitro assays of the response to a single drugs although there is a need for a prediction of clinical response to combination therapy. We have compared three different methods of analysing genotype data as a predictor of clinical response in a small clinical cohort of highly antiretroviral-experienced individuals failing therapy. No method performed well beyond 8 weeks into a new therapeutic regimen. A model based on the number of 'primary' mutations was statistically significant, but a multiple regression model, which identified specific mutations explained threefold more variation in response. Optimal prediction in this dataset was given by a model obtained from a classification tree analysis, in which genotype at amino acid sites 135 and 202 were combined with amino acid site 184, which explained over 50% of the deviance in the data and had a classification success of 86%.