[Analysis of age-based stratified renal involvement in Tianjin first batch of 430 patients with Omicron variant of novel coronavirus infection].

ABSTRACT

OBJECTIVE: To investigate the incidence and clinical characteristics of renal involvement with Omicron coronavirus infection in age-based stratified patients. METHODS: The first batch of 430 convalescent patients with Omicron coronavirus treated in Tianjin First Central Hospital from January 21, 2022 to March 7, 2022 were enrolled in this study. The baseline information, vaccination status and laboratory examination information of patients were extracted in order to analyze the incidence of renal involvement in age-based stratified patients. Multivariate Logistic regression analysis was conducted to determine the risk factors of renal involvement in different age groups. RESULTS: Excluding those younger than 1 year old and those with a history of chronic kidney disease, a total of 421 patients were included. There were 184 males and 237 females with an average age of (36.65±21.28) years. The types of renal involvement included pathological tubular urine (28.9%), proteinuria (16.9%), renal hematuria (14.7%), a slight decrease of estimated glomerular filtration rate (eGFR, 9.3%), renal glycosuria (0.5%). According to their age, all patients were divided into three groups 113 cases of ≤ 18 years old, 244 cases of 19-59 years old and 64 cases of ≥ 60 years old. Significant difference was founded in the incidence of renal involvement among the three groups. The incidence of proteinuria, pathological tubular urine and slight decline of eGFR in the ≥ 60 years old group were significantly higher than those in the ≤ 18 years old group [28.1% (18/64) vs. 8.0% (9/112), 42.2% (27/64) vs. 19.6% (22/112), 34.9% (22/63) vs. 6.2% (7/113), respectively, all P < 0.01]. The incidence of slight decline of eGFR was significantly higher than that in 19-59 years old group [34.9% (22/63) vs. 4.1% (10/243), P < 0.01]. Multivariate Logistic regression analysis showed that age was significantly correlated with renal involvement after adjusting for the baseline situation, serological indexes and Omicron infection related indexes [odds ratio (OR) = 1.059, 95% confidence interval (95%CI) was 1.021-1.097, P = 0.002]. Compared with the group ≤ 18 years old, the risk of renal involvement in the group ≥ 60 years old was significantly increased (OR = 26.245, 95%CI was 1.357-507.458, P = 0.031). Age ≥ 60 years old was an independent risk factor for renal involvement with Omicron coronavirus infection. CONCLUSIONS: Although a low incidence of severe cases in Tianjin first batch of 430 patients with Omicron coronavirus infection, there is still a high incidence of renal involvement. Advanced age is the risk factor of renal involvement. We should pay more attention to the renal involvement of elderly with Omicron coronavirus infection.