Introduction To investigate the correlation between home blood pressure variability and cognitive function in maintenance hemodialysis (MHD) patients. Methods Patients who received MHD were included. Their home blood pressure on nondialysis days within 1 week was collected. All patients were assessed with the Montreal Cognitive Assessment scale, according to which the patients were divided into cognitive impairment (CI) group and non-CI group, and the differences between two groups were compared. Results A total of 224 patients were included in the study, of which 168 had CI (75%). Compared with non-CI group, patients in CI group had larger variability of systolic blood pressure (SBPV) (8.4 [6.7, 10.6]% vs. 6.9 [4.9, 8.8]%, P < 0.001). The smooth fitting curve (OR = 1.2, 95% CI [1.1-1.4], P < 0.001) and trend test (P for trend = 0.004) showed that the risk of CI raised with the increase of SBPV. The patients were further divided into tertiles according to the SBPV. We also found a gradual increase in the proportion of incident CI in the three tertiles. Multiple logistic regression analysis showed that age, shorter years of education, less frequency of hemodialysis, and greater SBPV were the dependent risk of CI. Conclusion In conclusion, greater SBPV indicates higher risk of cognitive impairment in MHD patients.

Background Since the first diagnosed case of infection with the novel coronavirus (SARS-CoV-2), there has been a rapid spread of the disease with an increasing number of cases confirmed every day, as well as a rising death toll. An association has been reported between acute kidney injury (AKI) and mortality in patients infected with SARS-CoV-2. Therefore, our study was conducted to explore possible risk factors of AKI as well as whether AKI was a risk factor for worse outcome, especially mortality among patients with coronavirus disease (COVID-19). Methods We included all hospital admissions with confirmed or clinically diagnosed COVID-19 from January 29 to February 25, 2020. We collected demographic and epidemiological information, past medical history, symptoms, laboratory tests, treatments, and outcome data from electronic medical records. A total of 492 patients with diagnosed or clinically diagnosed COVID-19 were included in this study. Results The prevalence rate of AKI was 7.32%. Among the factors associated with AKI, males versus females (aOR 2.73), chronic kidney disease (aOR 42.2), hypertension (aOR 2.82), increased leucocytes (aOR 6.08), and diuretic use (aOR 7.89) were identified as independent risk factors for AKI among patients infected by SARS-CoV-2. There was a significant difference in hospital fees and death in patients with and without AKI (p < 0.05). The mortality rate in patients with AKI was 63.9%. Conclusions AKI was widespread among patients with COVID-19. The risk factors of AKI in COVID-19 patients included sex, chronic kidney disease, hypertension, infection, and diuretic use. AKI may be associated with a worse outcome, especially mortality in COVID-19 patients.

Collagen type III glomerulopathy is a non-immune-mediated glomerular disease, characterized by abnormal accumulation of type III collagen fibrils within the mesangial matrix and subendothelial space. The clinical manifestations of this disease are proteinuria, peripheral edema, hypertension and occasional progression to end-stage renal disease. Collagen type III glomerulopathy is extremely rare, and its etiology and pathogenesis remain elusive. To date, only case reports are available and the majority of these are from Japan. To investigate the idiographic features of collagen type III glomerulopathy in China, we report a case of collagen type III glomerulopathy with two differing renal biopsies and review 20 cases in China. The majority of the Chinese patients were adults. Thirty percent of the patients had nephrotic syndrome, and hypertension was observed in 75% of cases. Elevated creatinine was present in 45% of patients. The pathology of collagen type III glomerulopathy in the Chinese cases was similar to that observed in other ethnicities, although certain cases were IgA-positive by immunofluorescence microscopy, and electron-dense material could be observed in the mesangial area. The onset age, clinical manifestations and pathological features of the disease are not exactly the same in China as worldwide.

The health of marine ecosystemas are affected by aromatic hydrocarbons generated by the rapid industrial development and frequent oeourrence of oil spill accident. The establishment of nonlinear relationship between the physical and chemical properties of aromatic hydrocarbons and the inhibition toxicity of Chlorella vulgaris was one of the main method to predict the unknown aromatic hydrocarbons toxicity. Based on the 96 hr-EC50 of the inhibition toxicity of aromatic hydrocarbons to Chlorella vulgaris and the optimized geometries of aromatic hydrocarbons carried out at the B3LYP/6-311 G^＊＊ level by density functional theory （DFT） calculation, the nonlinear relationship between aromatic hydrocarbons and the inhibition activity were fit and approximated with General Linear Model （GLM） , Wavelet Neural Networks （WNN） and Takagi-sugeno Fuzzy Neural Networks （T-SFNN） models. The significance of GLM equation was confirmed by F test （p 〈0. 001 ）, and the three models, GLM, T-SFNN and WNN, were reliable by matched pair t testwith high precision by the determinative coefficient（R^2 〉 0.96）. The results showed that three models could be used to predict the unknown aromatic hydrocarbons toxicity well. The WNN model with mean square error （rose） 0. 0076 and the mean absolute error （mae） 0. 0533 is the best choice for forecasting the unknown aromatic hydrocarbons toxicity.