Objective To investigate the clinical and imaging features of adult brain stroke with Wallerian degeneration.Methods The clinical and imaging data of 3 adult patients with post-stroke Wallerian degeneration were retrospectively analyzed,and the literature was reviewed.Results All the three patients had a history of stroke,and the disease recurred several months later.Head MRI examination showed abnormal signals in the pontine,which were consistent with the disfigurement of the pyramidal tract of the primary lesion.Combined with the clinical symptoms of the patients,they were diagnosed as post-stroke Wallerian degeneration.Conclusions Patients with Wallerian degeneration after stroke may show changes in clinical symptoms,and are easily misdiagnosed as cerebral infarction,often with poor prognosis.Clinical awareness of this disease should be improved to avoid misdiagnosis,so as to improve the prognosis of patients and improve the quality of life.

Objective:To investigate the correlation between different serum uric acid (SUA) levels and impaired fasting glucose (IFG) in adults.Methods:From March 2019 to February 2020, 5006 adults in Wuxi area of Taihu Sanatorium in Jiangsu Province were selected as subjects. Quintile method was divided into the following five groups: Q1: SUA<270 μmol/L, Q2: 270 μmol/L SUA 318 μmol/L or less, Q3: 319 μmol/L ≤SUA≤360 μmol/L, Q4: 361 μmol/L SUA 410 μmol/L or less, and Q5: SUA>410 μmol/L. Correlation was analyzed by logistic analysis, with IFG as the outcome index, five SUA groups as the observation index, and gender, age, body mass index (BMI), blood lipid, and blood pressure as confounding factors. Three logistic regression analysis models were constructed to explore the relationship between different SUA level groups and IFG risk, as well as the influence of BMI on the risk correlation between SUA and IFG.Results:The BMI, DBP, FPG, TC, TG, and LDL-C all increased with the increase in SUA level; however, HDL-C gradually decreased with the increase in SUA level (P<0.01). The SUA levels among the five groups were positively correlated with fasting blood glucose level in the IFG group ( r=0.589, P<0.001). After adjusting for age, sex, and BMI, SUA level was strongly associated with fasting glucose in the IFG group ( r=0.534, P<0.001). After further adjustment for blood lipid and blood pressure, the correlation persisted ( r=0.523, P<0.001). With Q1 as the control group, the calculated OR values of IFG risk were 1.199, 2.660, 2.784 and 3.629, respectively. After further adjustment for various confounding factors, the calculated OR values of each group were 1.130, 2.389, 2.350 and 2.895, respectively. The IFG risk in the group with SUA level in the corresponding Q2 and Q5 groups was 1.13 times and 2.90 times higher, respectively, than that in the normal group, indicating that with the increase in SUA level, the IFG risk in the population increased. With the increase in BMI and SUA levels after BMI stratification, the mean fasting glucose level increased ( P<0.001). Conclusion:The SUA level and IFG risk are closely related. Increased SUA level increases IFG risk, and SUA and IFG are associated with weight gain, which should be paid attention to.

Objective:To explore the correlation between different smoking status and serum uric acid(SUA)in a middle-aged male in health check-up population.Methods:In this cross-sectional study, a total of 26701 middle-aged men who underwent health check-up in Taihu Sanatorium of Jiangsu Province from January 2014 to June 2015 were studied.The correlation between smoking status and SUA was analyzed by questionnaires, physical examination and serum biochemical assay.Smoking state was divided into no smoking, a occasional smoking and smoking groups.Results:With the increase of age, there was a downward trend of SUA( F=7.38, P=0.000). Among the three smoking groups, the group with occasional smoking had the highest level of SUA.The smoking group had lower level of SUA than the non-smoking group and occasional smoking group( P=0.000 and 0.005). In the non-smoking group, the fourth quartile of SUA(41.5%)had a higher percentage than that in first quartile of SUA(38.4%)( χ2=12.266, P=0.000). In the smoking group, the fourth quartile of SUA(54.9%)had lower percentage than that in the first quartile of SUA(58.4%)( χ2=7.049, P=0.008). Compared with the non-smoking group, the prevalence of hyperuricemia(HUA)in smoking group was lower( OR=0.872, 95% CI: 0.821~0.927, P=0.000), the prevalence of HUA in occasional smoking group was higher( OR=1.194, 95% CI: 1.013~1.408, P=0.035). Conclusions:As compared with the non-smoking group, the prevalence of HUA is lower in smoking group and is higher in occasional smoking group.

Objective:To analyze the epidemiological characteristics of reinfection of 2019-nCoV and influencing factors, and provide evidence for effective prevention and control of COVID-19 epidemic.Methods:The incidence data of COVID-19 in Ningbo from January 1, 2020 to November 30, 2022 were collected from the infectious disease surveillance system of Chinese information system for disease control and prevention. The incidence of reinfection of 2019-nCoV was investigated by using questionnaire. logistic regression analysis was used to analyze the influences of gender, age, time interval from the first infection, history of underlying disease, 2019-nCoV vaccination dose and disease severity on the reinfection.Results:A total of 897 previous 2019-nCoV infection cases were investigated, of which 115 experienced the reinfection of 2019-nCoV, the reinfection rate was 12.82%. The interval between the two infections M( Q1, Q3) was 1 052 (504, 1 056) days. Univariate analysis showed that age, 2019-nCoV vaccination dose, history of underlying disease, type of 2019-nCoV variant causing the first infection, time interval from the first infection and severity of the first infection were associated with the reinfection rate (all P<0.05). Multivariate logistic regression analysis showed that the risk for reinfection in age group 30- years was higher than that in age group ≥60 years ( OR=2.10, 95% CI: 1.11-3.97). No reinfection occurred in those with time interval from the first infection of <6 months, and the risk for reinfection was higher in those with the time interval of ≥12 months than in those with the time interval of 6- months ( OR=6.68, 95% CI: 3.46-12.90). The risk for reinfection was higher in the common or mild cases than in the asymptomatic cases ( OR=2.64, 95% CI: 1.18-5.88; OR=2.79, 95% CI: 1.27-6.11). Conclusion:The time interval from the first infection was an important influencing factor for the reinfection of 2019-nCoV, and the probability of the reinfection within 6 months was low.