Objective:To investigate the association between hyperuricemia and the risk for stroke occurrence, as well as the mediating effect of hypertension on this association.Methods:In this study, the China Chronic Diseases and Nutrition Surveillance system in 2015 was used as baseline data. We identified hospital admissions for stroke using the electronic homepage of inpatient medical records from 2013-2020, and death data were obtained from the 2015-2020 National Mortality Surveillance System. A retrospective cohort was established after matching and linking the database. The Cox proportional hazard regression model was used to analyze the relationship between hyperuricemia and the risk of stroke and its subtypes. Restricted cubic spline analysis was conducted to examine the dose-response relationship between serum uric acid levels and the risk for stroke. Mediation analysis was performed to investigate the mediating effect of hypertension on the association between hyperuricemia and the risk for stroke and its subtypes. Subgroup analyses were conducted based on gender and age groups.Results:A total of 124 352 study subjects were included, with an accumulative follow-up time of 612 911.36 person-years. During the follow-up period, 4 638 cases of stroke were found, including 3 919 cases of ischemic stroke and 689 cases of hemorrhagic stroke. The incidence density of stroke was 756.72 per 100 000 person-years, 641.37 per 100 000 person-years for ischemic stroke, and 114.60 per 100 000 person-years for hemorrhagic stroke. Multivariable Cox proportional hazards regression models showed that after adjusting for covariates, compared to those without hyperuricemia, individuals with hyperuricemia had a 16% higher risk for stroke [hazard ratio ( HR)=1.16, 95% CI: 1.06-1.27], a 12% higher risk of ischemic stroke ( HR=1.12, 95% CI: 1.01-1.24), and a 39% higher risk of hemorrhagic stroke ( HR=1.39, 95% CI: 1.11-1.75). Mediation analysis showed that hypertension partially mediated the associations between hyperuricemia and the risk for stroke, ischemic stroke, and hemorrhagic stroke, with mediation proportions of 36.07%, 39.98%, and 25.34%, respectively. The mediating effect is pronounced in the male population and individuals below 65. Conclusion:Hyperuricemia is a risk factor for stroke, and hypertension partially mediates the effect of hyperuricemia on stroke.

Background::Studies that comprehensively address the characteristics of centenarian deaths are rare. The present study aimed to depict the characteristics of centenarian deaths in China and their changing trends.Methods::Data on centenarian deaths between 2013 and 2020 were obtained from the national mortality surveillance system of China, including date, place of death (PoD), and underlying cause of death (CoD). Descriptive analyses were performed to understand the epidemiological characteristics, and a joinpoint regression model was adopted to examine the changing trends in the proportions of different PoDs, CoDs among centenarians, and centenarian deaths accounting for all deaths and deaths among people aged 65 years and older.Results::There were 46,938 registered centenarian deaths between 2013 and 2020 that included 34,311 females (73.10%) and 12,627 males (26.90%). January (12.05%), February (9.99%), and December (9.74%) were the top three months with the highest number of deaths. The proportions of deaths that occurred in homes, hospitals, and nursing homes were 81.71%, 13.63%, and 2.68%, respectively. The proportion of deaths in nursing homes increased by 9.60% (95% confidence intervals [CIs], 6.4-12.9%) from 2014 to 2020. Heart disease (35.72%) was the leading cause of death, followed by respiratory diseases (17.63%), cerebrovascular disease (15.60%), and old age (11.22%). The proportion of respiratory diseases decreased by 4.8% (95% CI, -8.8 to -0.7%), and the proportion of deaths from old age decreased by 2.3 % (95% CI, -4.4 to -0.1%) per year. Shanghai had the highest proportions of deaths in hospitals (39.38%) and nursing homes (14.68%). Sichuan had the highest proportion of deaths attributed to respiratory diseases (32.30%), while Jiangsu (26.58%) and Zhejiang (23.61%) had the highest proportions of deaths from old age.Conclusion::Unlike other countries, centenarian deaths in China are characterized by a higher proportion of home and heart disease deaths, and this death pattern differs across provinces.

AIM:To investigate the effects and underlying mechanism of Toona sinensis bark extract(TAE)on the colon mucosal barrier and gut microbiota in mice with ulcerative colitis(UC)induced by dextran sulfate sodium(DSS).METHODS:Sixty C57BL/6J mice were randomly assigned to control,model,and mesalazine(0.2 g/kg)groups,as well as TAE groups(low,medium,and high-doses equal to crude drug concentrations of 2.3,4.6 and 9.2 g/kg,respectively).The UC model was induced by drinking of 2.5％DSS,and mean while the drugs were administered for 10 days.The mice were then evaluated in terms of weight,disease activity index(DAI),colon length,spleen index,and pathological changes in the colon tissues.In addition,the level of apoptosis in colon tissues was assessed by terminal de-oxynucleotidyl transferase dUTP nick-end labeling(TUNEL)fluorescence staining,and the expression of related proteins was evaluated by Western blot,levels of inflammatory factors were determined by enzyme-linked immunosorbent assays(ELISA),and the activities of total superoxide dismutase(T-SOD)and catalase(CAT)and malondialdehyde(MDA)content were assessed by biochemical assays.Furthermore,the constitution and diversity of the gut microbiota were inves-tigated by 16S rRNA gene sequencing.RESULTS:Compared with the control group,mice in the model group showed significantly reduced body weights(P<0.01),and the colon length was shortened significantly(P<0.05).Marked in-creases in the DAI and spleen index were observed(P<0.01),along with severe damage to the colon mucosa(P<0.01).Mechanistically,the level of intestinal epithelial cell apoptosis was significantly raised(P<0.01).The model group showed markedly reduced expression of occludin and claudin-1(P<0.01),the level of IL-10,and activities of T-SOD and CAT in the colon tissues(P<0.01).While the levels of IL-6,IL-1β,TNF-α,and the MDA content were increased signif-icantly(P<0.05).The abundance and diversity of the gut microbiota were decreased in the model group(P<0.05).Com-pared with the model group,all these indicators were ameliorated by the administration of TAE(P<0.05).The abundance of pathogenic bacteria,including Proteobacteria and Escherichia-Shigella,was decreased remarkably(P<0.05),while that of probiotics,including Bacteroidota and Muribaculaceae,were increased significantly(P<0.05).The abundance and diversity of the gut microbiota were increased.CONCLUSION:Taken together,Toona sinensis bark alcohol extract can alleviate damage to the intestinal mucosa by suppressing the apoptosis of intestinal epithelial cell,reducing the inflam-matory response,and mitigating oxidative stress.Treatment with TAE could also maintain the homeostasis of the gut micro-biota by regulating the abundance,ultimately meliorate the function of intestinal mucosal barrier.

BACKGROUND: There is limited data to comprehensively evaluate the epidemiological characteristics of multiple myeloma (MM) in China; therefore, this study determined the characteristics of the disease burden of MM at national and provincial levels in China. METHODS: The burden of MM, including incidence, mortality, prevalence, and disability-adjusted life years (DALYs), with a 95% uncertainty interval (UI), was determined in China following the general analytical strategy used in the Global Burden of Disease, Injuries, and Risk Factors Study 2019. The trends in the burden of MM from 1990 to 2019 were also evaluated. RESULTS: There were an estimated 347.45 thousand DALYs with an age-standardized DALY rate of 17.05 (95% UI, 12.31-20.77) per 100,000 in 2019. The estimated number of incident case and deaths of MM were 18,793 and 13,421, with age-standardized incidence and mortality rates of 0.93 (95% UI, 0.67-1.15) and 0.67 (95% UI, 0.50-0.82) per 100,000, respectively. The age-specific DALY rates per 100,000 increased to more than 10.00 in the 40 to 44 years age group reaching a peak (93.82) in the 70 to 74 years age group. Males had a higher burden than females, with approximately 1.5- to 2.0-fold sex difference in age-specific DALY rates in all age groups. From 1990 to 2019, the DALYs of MM increased 134%, from 148,479 in 1990 to 347,453 in 2019. CONCLUSION The burden of MM has doubled over the last three decades, which highlights the need to establish effective disease prevention and control strategies at both the national and provincial levels.
Humans ; Male ; Female ; Adult ; Aged ; Global Burden of Disease ; Quality-Adjusted Life Years ; Multiple Myeloma/epidemiology* ; Global Health ; Incidence ; Prevalence ; Risk Factors ; China/epidemiology*

Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.

Objective:To analyze the trend of the incidence, mortality and disease burden of breast cancer in women in China during 1990-2017.Methods:Based on the estimation of data in China from the Global Burden of Disease 2017 (GBD2017), the incidence,mortality, disability- adjusted life years (DALY), years of life lost (YLL), and years lived with disability (YLD) on breast cancer for women in China during 1990-2017 were standardized by the world standard population used for GBD2017. The GBD study applied the attributable burden formula to estimate the attributable deaths by five risk factors of breast cancer, including alcohol use, high body mass index (BMI), high fasting plasma glucose, low physical activity and tobacco smoking. The incidence, mortality, attributable deaths and the disease burden due to breast cancer in women in China were analyzed.Results:In 2017, a total of 357.6 thousand female breast cancer cases, including 84.8 thousand deaths, were reported in China, with the age-standardized incidence rate of 35.62/100 000, which increased by 286.18%, 114.14% and 88.77% respectively compared with 1990. The age-standardized mortality rate decreased from 8.57/100 000 in 1990 to 7.84 /100 000 in 2007, then increased to 8.71 /100 000 in 2015, and then decreased to 8.47/100 000 in 2017. The mortality of breast cancer increased with age in 1990 and 2017. From 1990 to 2017, the trend of standardized DALY rate and standardized YLL rate were the same as that of standardized mortality, while the standardized YLD rate and the proportion of YLD in DALY increased year by year. In 2017, the standardized DALY rate, standardized YLL rate and standardized YLD rate of breast cancer were 253.00/100 000, 228.96/100 000, and 24.05/100 000, respectively. Compared with 1990, the change rates were -6.88% and -11.73% and 95.85% respectively. The proportion of breast cancer deaths attributable to high BMI increased significantly by 165.76%, from 5.49% in 1990 to 14.59% in 2017. The proportion of breast cancer deaths attributable to alcohol use and high fasting blood glucose increased; and the proportion of breast cancer deaths attributed to low physical activity and smoking remained stable. In 2017, the three provinces with the highest age-standardized mortality rate of female breast cancer were Hongkong (9.93/100 000), Guangxi (9.52/100 000) and Liaoning (9.49/100 000). Compared with 1990, the age-standardized mortality of 19 provinces decreased, and Beijing (-27.17%), Macao (-26.06%) and Jilin (-23.89%) had the fastest decrease. The two provinces with the highest growth rates were Hebei (28.85%) and Henan (24.34%).Conclusions:The disease burden of female breast cancer in China increased during 1990-2017. Therefore it is necessary to strengthen the prevention and treatment of breast cancer.

Objective:To understand the geographical variations and temporal trends of all-cause mortality rate and life expectancy in China at national and subnational levels during 2005-2018.Methods:Using data from National Cause-of-death Reporting System, China National Maternal and Child Health Surveillance System, Under-reporting Surveys, and related social determinants covariates, we estimated all-cause mortality rate and life expectancy at national and subnational levels in China during 2005-2018. We depicted the geographical variations and temporal trends between provinces on mortality rate and life expectancy. We then decomposed changes in national and subnational deaths into three explanatory components: change due to age-specific mortality rate, change due to the population structure by age, and change due to growth of the total population.Results:In 2018, it was estimated that there were 10 482 297 total deaths (95% CI: 9 723 233-11 466 875 deaths) in China, with 6 113 926 men (95% CI: 5 773 158-6 572 407 men) and 4 368 241 women (95% CI: 3 950 075-4 894 468 women). The all-cause mortality rate was 755.54 per 100 000 (95% CI: 701.49 per 100 000-825.78 per 100 000), with 861.78 per 100 000 (95% CI: 813.75 per 100 000-926.40 per 100 000) in men and 642.73 per 100 000 (95% CI: 581.20 per 100 000-720.15 per 100 000) in women, while age-standardized all-cause mortality rate was 652.27 per 100 000 (95% CI: 599.22 per 100 000-721.71 per 100 000), with 806.38 per 100 000 (95% CI: 755.10 per 100 000-874.31 per 100 000) in men and 503.37 per 100 000 (95% CI: 450.50 per 100 000-572.01 per 100 000) in women. In 2018, it was estimated that the life expectancy in the whole country was 77.15 years old (95% CI: 75.92-78.11 years old), with 74.81 (95% CI: 73.57-75.76) in men and 79.87 (95% CI: 78.61-80.91) in women. Developed areas as Shanghai, Beijing, Jiangsu, and Zhejiang owned comparatively higher life expectancy, while undeveloped areas like Tibet, Guizhou, Xinjiang, and Qinghai showed lower levels. During 2005-2018, there was a 29.87% increase in total deaths at the national level, with 27.74% in men and 31.29% in women. Changes due to age-specific mortality rate, the population structure by age, and the growth of the total population constituted -35.74%, 7.34%, and 58.28% of the total increase, respectively. Conclusions:From 2005 to 2018, the all-cause mortality rate increased while the age-standardized mortality rate decreased substantially among Chinese residents. Change due to population structure by age was the dominant driver. An upward trend of life expectancy was observed in all provinces, with marked differences between the provinces.

Objective:To understand the distribution patterns of the place of death (PoD) among individuals with cardiovascular disease (CVD) in the provinces of China in 2018. Relationships between CVD deaths in healthcare/medical institutions and individual demographics, social-economic status (SES), the underlying cause of death, and local cultural factors were also explored.Methods:Using data from the National Cause-of-death Reporting System, we examined potential, influential factors of CVD deaths in healthcare/medical institutions through multilevel logistic regression.Results:In 2018, there were 853 832 CVD deaths in disease surveillance points in the country, with 661 625 (77.49%) home deaths and 156 441 (18.32%) occurring in healthcare and medical institutions. Factors including sex, age, nationality, marital status, education level, occupation, the underlying cause of death, criterion for diagnosis, and urban/rural residency, were significantly influential on CVD deaths in healthcare/medical institutions. Meanwhile, spatial variations were shown at factors the subnational level, with 45.39% related to factors at the individual level.Conclusion:Home was the dominant place for CVD deaths in the country, with substantial spatial variations in PoD between provinces. The probability of dying in healthcare/medical settings was comparatively higher among CVD patients with superior socioeconomic status and who lived in urban areas. Adequate information should be collected and included in further studies on exploring influential factors of PoD. Since both social factors, individual preferences, and acute and chronic CVD deaths are critical, it is necessary to enhance treatment capacity. A booming approach incorporating home/hospice care with on-site medical services might also improve the quality of end-of-life care among CVD patients in China.

Objective:To explore the potential influences and applicability of different spatial weight matrices used in analyzing spatial autocorrelation of cardiovascular disease (CVD) mortality in China.Methods:Using data from the National Cause-of-death Reporting System, we used adjacency-based Rook and Queen contiguity and distance-based K nearest neighbors/distance threshold. We then conducted global and local spatial autocorrelation analysis of CVD mortality at the county level in China, 2018.Results:All four categories and 26 types of spatial weight matrices had detected significant global and local spatial autocorrelation of CVD mortality in China. Global Moran's I statistics reached its peak when using first-order Rook (0.406), first-order Queen (0.406), K nearest neighbors including five spatial units (0.409), and distance threshold with 100 kilometers (0.358). Meanwhile, apparent local spatial autocorrelation was found in CVD mortality. Substantial disparities were observed when detecting "High-High clusters", "Low-Low clusters", "High-Low clusters" and "Low-High clusters" of CVD mortality spatial distribution by using different weight matrices. Conclusions:Using different spatial weight matrices in analyzing the spatial autocorrelation of CVD mortality, we could understand the spatial distribution characteristics of CVD mortality in-depth at the county level in China. In this way, adequate supports could also be provided on CVD premature death control and rational medical resource allocation regionally.

Objective: To analyze the characteristics of the second primary tumor affecting the survival of patients with lymphoma, and to explore the risk factors of death from the second primary tumor. Methods: The medical records and related death information of 1 173 lymphoma patients who had already died with known causes were collected. The basic causes of death and the characteristics of patients who died of the second primary tumor were analyzed. Cox regression model was used to analyze the risk factors of lymphoma patients who died of the second primary tumor. Results: Among the 1 173 patients who had died, 94 (8.0%) died of the second primary tumor, 935 (79.7%) died of the primary lymphoma and 144 (12.3%) died of other diseases. The second primary tumor accounted for 17.5% (38/217) of all causes of death in patients with the survival period of more than 5 years, and the second primary tumor accounted for 28.3% (17/60) of all causes of death in patients with the survival period of more than 10 years. Among 94 cases who died of second primary tumors, 31 died of lung cancer, 15 died of gastric cancer, 13 died of liver cancer, 9 died of pancreatic cancer, 6 died of colorectal cancer, 6 died of second primary lymphoma and 14 died of other types of tumors. Univariate Cox regression analysis showed that age, first-line treatment effect, and chest or mediastinal radiotherapy were associated with the death from second primary tumors for lymphoma patients (all P<0.05). Multivariate Cox regression analysis showed that the effect of first-line treatment (P=0.030) and the chest or mediastinal radiotherapy (P=0.039) were independent factors for the death of lymphoma patients from the second primary tumor. Conclusions The second primary tumor is an important factor affecting the survival of lymphoma patients, and the risk of death from second primary tumors increases significantly over time. The effect of first-line treatment and radiotherapy in the chest or mediastinum are independent factors for the death of lymphoma patients from the second primary tumor.