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Non-invasive urinary sediment double-immunostaining predicts BK polyomavirus associated-nephropathy in kidney transplant recipients.
Chen, Xu-Tao; Chen, Wen-Fang; Hou, Xiao-Tao; Yang, Shi-Cong; Yang, Hui-Fei; Li, Jun; Deng, Rong-Hai; Huang, Yang; Nuertai, Yelidana; Wang, Chang-Xi; Qiu, Jiang; Huang, Gang.
Afiliación
  • Chen XT; Department of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Chen WF; Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Hou XT; Guangzhou KingMed Center for Clinical Laboratory Co, Ltd, Guangzhou International Biotech Island, Guangzhou 510005, China.
  • Yang SC; Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Yang HF; Fuda Cancer Hospital · Jinan University, Fuda Cancer Hospital, Guangzhou 510640, China.
  • Li J; Department of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Deng RH; Department of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Huang Y; Department of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Nuertai Y; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
  • Wang CX; Department of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Qiu J; Department of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
  • Huang G; Department of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Ann Transl Med ; 8(5): 235, 2020 Mar.
Article en En | MEDLINE | ID: mdl-32309382
BACKGROUND: The positive predictive value (PPV) of urinary decoy cells for diagnosing BK polyomavirus associated-nephropathy (BKPyVAN) is low. This study was designed to increase the PPV of urinary decoy cells for diagnosing BKPyVAN in kidney transplant recipients. METHODS: A total of 105 urine sediment samples from 105 patients with positive BK viruria and decoy cells were evaluated by automatic double-immunostaining with anti-HGD (a renal tubular marker) antibody + anti-SV40-T antibody or anti-S100P (an urothelial marker) antibody + anti-SV40-T antibody. RESULTS: Of the 105 patients, 76 (72.4%) had both HGD(+)/SV40-T(+) cells and S100P(+)/SV40-T(+) cells (group A), 24 (22.9%) had only S100P(+)/SV40-T(+) cells (group B), and 5 (4.6%) had only S100P(-)/HGD(-)/SV40-T(+) cells (group C). Seventy patients in group A (92.1%), 3 patients in group B (12.5%), and no patients in group C were diagnosed with BKPyVAN. The area under the ROC curve of predicting BKPyVAN by decoy cells was 0.531 (0.431-0.630), with an optimal cut-off value of 29 (per 10 high power field), a sensitivity of 45.8% (95% CI: 34.0-58.0%), and a specificity of 68.8% (95% CI: 50.0-83.9%). Besides, the area under the ROC curve of predicting BKPyVAN by plasma BKPyV load was 0.735 (95% CI: 0.632-0.822), with an optimal cut-off value of 1,000 copies/mL, a sensitivity of 61.1% (95% CI: 48.9-72.4%) and a specificity of 84.2% (95% CI: 60.4-96.6%). In contrast, the PPV, negative predictive value, sensitivity, and specificity of HGD(+)/SV40-T(+) cells for diagnosing BKPyVAN were 92.1% [95% confidence interval (CI): 83.0-96.7%], 89.7% (95% CI: 71.5-97.3%), 95.9% (95% CI: 87.7-98.9%), and 81.3% (95% CI: 63.0-92.1%) respectively. CONCLUSIONS: Double-immunostaining with anti-HGD or anti-S100P and anti-SV40-T antibodies helps to identify the origin of decoy cells and diagnose BKPyVAN.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: China