Clinicopathological features and prognostic analysis of 44 patients with polyomavirus nephropathy after kidney transplantation
10.3969/j.issn.1674-7445.2023.03.010
- VernacularTitle:44例肾移植术后多瘤病毒相关性肾病患者的临床病理特征和预后分析
- Author:
Zipei WANG
1
;
Hui GUO
;
Bo ZHANG
;
Yukun TANG
;
Jipin JIANG
;
Ping ZHOU
;
Dunfeng DU
Author Information
1. Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation of Ministry of Education, Key Laboratory of Organ Transplantation of National Health Commission, Key Laboratory of Organ Transplantation of Chinese Academy of Medical Sciences, Wuhan 430030, China
- Publication Type:Research Article
- Keywords:
Kidney transplantation;
Polyomavirus nephropathy;
BK virus;
Banff standard;
Allograft pathology;
Viral load;
Interstitial fibrosis;
Serum creatinine
- From:
Organ Transplantation
2023;14(3):389-
- CountryChina
- Language:Chinese
-
Abstract:
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.
