Automated Intelligent Microscopy for the Recognition of Decoy Cells in Urine Samples of Kidney Transplant Patients

Abstract

BackgroundBK virus (BKV)–associated nephropathy is definitely involved in allograft failure after kidney transplant. Thus, the need for an early control of viral reactivation in immunocompromised patients is well established. Determination of urinary release of decoy cells (DC) and BK viral load in plasma and urine by polymerase chain reaction (PCR) usually precedes renal biopsy. The aim of the study is to assess viral reactivation by BKV-DNA PCR and DC detection in urinary sediment using automated intelligent microscopy. MethodsSeventy-eight kidney transplant patients were analyzed for the presence of plasma BKV-DNA by quantitative TaqMan real-time PCR. Additionally, automated intelligent microscopy was used for urine sediment analysis, allowing to count cells with decoy feature, confirmed by phase contrast microscopic review. ResultsPlasma BKV-DNA PCR was detected in 14 (17.9%) patients. DC were identified in 19 (24.3%) urine sediments by automated analyzers and confirmed by microscopic observation. Two patients were BKV-DNA–positive/DC-negative; conversely, 7 subjects were DC-positive/BKV-DNA–negative. ConclusionsPlasma quantification of BK viral load is currently the best noninvasive method for the detection of viral reactivation. Nevertheless, automated methods to screen for the presence of DC in urine could facilitate early BK virus replication diagnosis and patient follow-up by quantitative and visual results.