Aim: To investigate the gender and socioeconomic disparities in the global burden of chronic kidney disease (CKD) due to glomerulonephritis from 1990 to 2019.Methods: Data were extracted from the global burden of diseases (GBD) 2019 study, including incidence, prevalence and disability-adjusted life-years (DALYs). Estimated annual percentage changes (EAPCs) were calculated to quantify the temporal trends in age-standardized rate (ASR) of CKD due to glomerulonephritis. Paired t-test, paired Wilcoxon signed-rank test and Spearman correlation were performed to analyse the association and gender disparity in CKD due to glomerulonephritis.Results: Globally, incident cases of CKD due to glomerulonephritis increased 81% from 9 557 397 in 1990 to 17 308 071 in 2019. The age-standardized incidence rate increased by 1.47 compared with 1990 and DALYs increased by 1.35 compared with 1990 (per 100 000). The number of patients with CKD due to glomerulonephritis in low-middle SDI (3829917) and middle SDI (6268817) regions accounts for more than 55% of the total cases. CKD due to glomerulonephritis caused a higher burden including the incidence rate (p < .0001) and DALY rate (p < .0001) in men compared to women.The age-standardized DALY rate was negatively correlated with SDI (ρ = À0.64, p < .001). In the analysis of risk factors for DALYs, male individuals had a larger burden of hypertension, high BMI and high sodium diet in the DALY rates than female subjects. Conclusion:The burden of CKD due to glomerulonephritis was more skewed towards developing and less developed economies and differed by gender, so certain nations should implement far more focused and targeted policies.

Background Studies that address the changing characteristics of diseases are of great importance for preventing and controlling the occurrence and development of diseases and for improving health. However, studies of the epidemiological characteristics of noncommunicable diseases (NCDs) and malignant tumors (MTs) of the residents in Guiyang, China, are lacking. Objective The aim of this study was to evaluate the prevalences of NCDs and MTs in residents of Guiyang, Guizhou Province, China, and analyze differences among ages, genders, and regions. Methods A multistage stratified cluster sampling method was used. Based on the inclusion and exclusion criteria, 81,517 individuals were selected for the study. Of these, 77,381 (94.9%) participants completed the study. Structured questionnaires were used to collect information on demographic characteristics, NCDs, and MTs. The chi-square test (with 95% confidence intervals) was used to analyze differences in disease prevalence among genders, ages, and geographical regions. Results The major chronic NCDs of Guiyang residents are obesity, hypertension, and diabetes. MTs in women are mostly breast cancer, cervical cancer, and endometrial cancer, whereas in men, MTs are mainly lung cancer, rectal cancer, and gastric cancer. The prevalences of hypertension and diabetes in women are higher than in men, but the prevalences of lung cancer and gastric cancer in men are higher than in women. The epidemiological characteristics of individuals in different life stages are dissimilar. In terms of regional distribution, the prevalences of the above diseases in the Baiyun and Yunyan districts of Guiyang are relatively high. Conclusions Several NCDs (obesity, hypertension, and diabetes) and MTs (women: breast cancer, cervical cancer, and endometrial cancer; men: lung cancer, rectal cancer, and gastric cancer) should be the focus for the prevention and control of chronic diseases in the future. In particular, the Baiyun and Yunyan districts of Guiyang are the important regions to emphasize.

Objective To explore effective factors of surgical effect for patients with cleft lip and palate, and to construct the predictive model of surgical effect, which provide reference for improving the effect of cleft lip and palate surgery. Methods This study has been ethically reviewed and approved by the Medical Ethics Committee of Guiyang Stomatological Hospital before the study began.A total of 997 cases of cleft lip and palate surgical treatment in Guiyang Stomatological Hospital from 2015 to 2020 were collected. Logistic regression analysis was used to analyze the factors influencing the surgical outcome, and a score system was established by assigning values to the influencing factors using the nomogram. Data of 110 patients were verified, and decision curve analysis was used to evaluate the predicted results. Results Logistic regression analysis showed that the number of surgeries, surgical methods, breast milk, prenatal examination, nutrition during pregnancy and labor intensity during pregnancy were independent risk factors for poor surgical results (all P<0.05). The predictive model was built by including the number of surgeries, surgical methods, breast milk, prenatal examination, nutrition and labor intensity during pregnancy into the predictive scoring system. The critical value was 273, the area under ROC curve (AUC) was 0.733(95%CI:0.704~0.76), the sensitivity was 89.57%, and the specificity was 48.14%.When the external validation data of 110 patients were brought into the score, the AUC of poor diagnostic value reached 74.5%, P<0.05, which was close to the modeling accuracy of 73.3%. Conclusion This study constructed a predictive model of surgical effect for patients with cleft lip and palate, which can be used for the clinical prediction of cleft lip and palate patients in Guizhou Province.