Authors:Balázs Nemes, É. Toronyi, K. Rajczy, A. Szakos, B. Somlai, A. Doros, R. Chmel, F. Derner, and L. Kóbori
Malignant diseases are considered as great challenges in clinical transplantation. It is well known that the incidence of malignancy is higher in the transplanted population if compared with the normal population. It is important to distinguish between neoplastic diseases originating from pre-existing lesions in the transplanted organs and de novo graft tumours. Post-transplant malignancy of donor origin is a rare complication of organ transplantation, most likely transmitted as micrometastases within the parenchyma of the donor organ or from circulating tumour cells contained within the organ. Malignant melanoma, although its incidence is rather low, is one of the most common donor-derived tumour inadvertently transplanted, comprising 28% of donor transmitted tumours. Malignant melanoma in the graft without dermatological localisation is extremely rare. We report a case of de novo melanoma occurring in the allograft, where transmission from the donor was excluded by DNA (desoxyribonucleic acid) investigation. We did not find any data in the literature where a malignant melanoma occurred after transplantation in the transplanted kidney without any skin lesions and the donor origin was excluded. We draw attention to the importance of the DNA typing in case of tumours occurring in immunosuppressed patients.
Authors:Enikő Sárváry, Zs. Gerlei, E. Dinya, E. Tóth, M. Varga, R. Chmel, M. Molnar, A. Remport, B. Nemes, L. Kobori, D. Görög, J. Fazakas, I. Gaal, J. Járay, F. Perner, and R. Langer
Patients on hemodialysis (HD) and renal transplant recipients (RT) have a high prevalence of HCV infection. The aim of our study was to determine the prevalence of HCV-RNA in the anti-HCV positive patients and to compare the biochemical parameters of PCR(+) and PCR(−) subgroups. Methods: The 525 sera were screened for anti-HCV. HCV-RNA was detected by polymerase chain reaction (PCR) and liver enzymes [SGOT, SGPT, GGT, α-glutathione S-transferase (GST)] were measured. Results: Active viraemia was found only in 187 of 289 (65%) seropositive HD patients in contrast to 53 of 53 (100%) of seropositive RT patients. Significantly increased (p<0.05) GST values (9.9 μg/l) were found in the PCR(+) subgroups compared to GST levels (2.7 μg/l) of the PCR(−) subgroups. Elevated GST concentration was found in 80% (208/251) of PCR(+) patients. The measured enzymes were not elevated in HCV infected patients. Six percent of HD and 11% of RT patients were screened before seroconversion. Diagnostic sensitivity (80%) and specificity (79%) of GST were calculated as good for early liver damage caused by HCV. In contrast, the sensitivity of the measurement of other liver enzymes were very weak (SGOT: 8%; SGPT: 10%; GGT: 42%). Conclusion: The significantly higher viraemia of the RT subgroup could be related to the immunosuppressive therapy. Increased GST level may be a useful indicator of tissue damage during HCV infection. If HCV infection is suspected, PCR and GST measurement should be performed, even if anti-HCV result is negative.
Authors:Eniko Sarvary, D. Lee, J. Varadi, M. Varga, I. Gaal, R. Chmel, G. Beko, Z. Kanyo, B. Nemes, Zs. Gerlei, J. Fazakas, L. Kobori, Zs. Herold, S. Németh, I. Galoczi, J. Jaray, and R. Langer
The value of urinary cytology in the diagnosis of different pathological conditions in renal transplantation is particularly important. Manual microscopic urinalysis is a high-volume procedure that currently requires significant labour.
Objective: To automate the sediment evaluation and to make this more accurate using the Iris Diagnostics Automated Urine Microscopy Analyzer (iQ200). Our goal was to compare the manual and automated microscopic data to apply iQ200 in renal function monitoring.
Method: The iQ200 uses digital imaging and Auto Analyte Recognition software to classify urine constituents into 12 analyte categories and quantitatively report.
Results: We determined cut-off values of urine particles in every category, which correlated well with manual microscopic results. The iQ200 was more sensitive for pathological casts than manual microscopic analysis. iQ200 helped the operator to differentiate between isomorphic and dismorphic erythrocytes and between lymphocytes and granulocytes, too. Every pathological constituent could be recognized, which is very important for early recognition of renal impairment, graft rejection and urinary tract infection.
Conclusions: The iQ200 system automatically classifies 12 particles, significantly reducing the need for additional sample preparation, manual microscopic review achieving a high degree of standardization in urinalysis.