Volume 14 Issue 3
May  2023
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Wang Zipei, Guo Hui, Zhang Bo, et al. Clinicopathological features and prognostic analysis of 44 patients with polyomavirus nephropathy after kidney transplantation[J]. ORGAN TRANSPLANTATION, 2023, 14(3): 389-396. doi: 10.3969/j.issn.1674-7445.2023.03.010
Citation: Wang Zipei, Guo Hui, Zhang Bo, et al. Clinicopathological features and prognostic analysis of 44 patients with polyomavirus nephropathy after kidney transplantation[J]. ORGAN TRANSPLANTATION, 2023, 14(3): 389-396. doi: 10.3969/j.issn.1674-7445.2023.03.010

Clinicopathological features and prognostic analysis of 44 patients with polyomavirus nephropathy after kidney transplantation

doi: 10.3969/j.issn.1674-7445.2023.03.010
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  • Corresponding author: Du Dunfeng, Email: dfdu@tjh.tjmu.edu.cn
  • Received Date: 2023-01-06
  • Publish Date: 2023-05-15
  •   Objective  To analyze the clinicopathological features and prognosis of polyomavirus nephropathy (PyVN) after kidney transplantation.  Methods  Clinical data of 44 patients who were diagnosed with PyVN after kidney transplantation were retrospectively analyzed. The causes of puncture and the time of pathological diagnosis were analyzed. Histological grading was carried out according to Banff 2018 classification. Clinical data and pathological characteristics of patients at all grades were statistically compared. BK viral DNA loads in the blood and urine were measured and renal allograft function were assessed. Clinical prognosis of all patients was compared among different groups and the risk factors affecting clinical prognosis were also analyzed.  Results  The time interval between pathological diagnosis of PyVN and kidney transplantation was 16(8, 29) months, and the increase of serum creatinine level was the main cause for puncture. Among 44 patients, 19 cases were classified as grade ⅠPyVN, 21 cases of grade Ⅱ PyVN and 4 cases of grade Ⅲ PyVN, respectively. Under optical microscope, there was no significant difference in the positive rate of virus inclusion bodies among different groups (P=0.148). Inflammatory cell infiltration, interstitial fibrosis and polyomavirus load in grade Ⅱ PyVN patients were all more or higher than those in grade Ⅰ counterparts. Inflammatory cell infiltration and polyomavirus load in grade Ⅲ patients were more or higher than those in grade Ⅰ counterparts. Polyomavirus load in grade Ⅲ patients was more or higher than that in grade Ⅱ counterparts. The differences were statistically significant (all P < 0.05/3). Upon diagnosis, BK viral DNA load was detected in the blood and urine of 39 patients. Among them, 38 patients were positive for BK virus in the urine and 30 patients were positive for BK virus in the blood. The serum creatinine level upon diagnosis was higher compared with that at postoperative 1 month. The serum creatinine level at the final follow-up was significantly higher than that upon diagnosis. The differences were statistically significant (P < 0.001, P=0.049). There was no significant difference in the serum creatinine level among patients with different grades of PyVN at postoperative 1 month (P=0.554). The serum creatinine level of patients with grade Ⅱ PyVN upon diagnosis was significantly higher than that of those with grade Ⅰ PyVN (P=0.007). The 1-, 3- and 5-year cumulative survival rates of renal allografts were 95%, 69% and 62%, respectively. The survival rates of renal allografts significantly differed among patients with different grades of PyVN. The higher the grade, the lower the survival rate (P=0.014). Univariate and multivariate Cox's regression analyses prompted that intrarenal polyomavirus load and serum creatinine level upon diagnosis were the independent risk factors for renal allograft dysfunction (all P < 0.05).  Conclusions  PyVN mainly occurs within 2 years after kidney transplantation. Clinical manifestations mainly consist of increased serum creatinine level, BK viremia and BK viruria. Postoperative routine monitoring of BK virus contributes to early diagnosis and protection of renal allografts. Banff 2018 classification may effectively predict the prognosis of renal allografts.

     

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