Objective:To analyze the current status and trend of the mortality burden of cardiovascular disease in China from 2010 to 2021.Methods:Data related to cardiovascular disease mortality and disability-adjusted life year (DALY) were extracted from the Global Burden of Disease Study 2021 (GBD2021) database. The age-standardized mortality rate and DALY rate were calculated, using the 2021 world standard population estimated by GBD2021. Joinpoint 5.2.0 software was used to calculate the mortality rate, standardized mortality rate, DALY rate, standardized DALY rate, annual percent change (APC), average annual percent change (AAPC), and 95% CI of cardiovascular disease in China from 2010 to 2021. Results:The mortality rate of cardiovascular disease was 357.44/100 000, and the age-standardized mortality rate was 280.11/100 000 in China in 2021. The DALY rate was 7 043.33/100 000, and the age-standardized DALY rate was 5 120.06/100 000. From 2010 to 2021, the mortality rate and DALY rate of cardiovascular disease in China showed an upward trend (AAPC was 1.58% and 0.83%, respectively, both P<0.05), and the standardized mortality rate and standardized DALY rate showed a downward trend (AAPC was -2.13% and -2.02%, respectively, both P<0.05). The mortality burden of cardiovascular disease was higher in males (mortality rate 392.80/100 000, DALY rate 8 156.19/100 000) than in females (mortality rate 320.38/100 000, DALY rate 5 876.87/100 000). With the increase older in age, the mortality burden of cardiovascular disease in China decreased first and then increased. China ranked high in the mortality burden of cardiovascular disease among G20 member countries. Conclusions:The death burden of cardiovascular disease is serious in China. The mortality rate and DALY rate of cardiovascular disease in China showed an increasing trend from 2010 to 2021, and the standardized mortality rate and standardized DALY rate of cardiovascular disease ranked high in G20 member countries. The death burden of cardiovascular disease was more serious in men and the elderly. It is necessary to develop more comprehensive prevention, treatment, and rehabilitation measures for men and the elderly to reduce mortality and disability rates, decrease the disease burden, and improve the quality of life.

Objective:To analyze the current status and trend of the mortality burden of cardiovascular disease in China from 2010 to 2021.Methods:Data related to cardiovascular disease mortality and disability-adjusted life year (DALY) were extracted from the Global Burden of Disease Study 2021 (GBD2021) database. The age-standardized mortality rate and DALY rate were calculated, using the 2021 world standard population estimated by GBD2021. Joinpoint 5.2.0 software was used to calculate the mortality rate, standardized mortality rate, DALY rate, standardized DALY rate, annual percent change (APC), average annual percent change (AAPC), and 95% CI of cardiovascular disease in China from 2010 to 2021. Results:The mortality rate of cardiovascular disease was 357.44/100 000, and the age-standardized mortality rate was 280.11/100 000 in China in 2021. The DALY rate was 7 043.33/100 000, and the age-standardized DALY rate was 5 120.06/100 000. From 2010 to 2021, the mortality rate and DALY rate of cardiovascular disease in China showed an upward trend (AAPC was 1.58% and 0.83%, respectively, both P<0.05), and the standardized mortality rate and standardized DALY rate showed a downward trend (AAPC was -2.13% and -2.02%, respectively, both P<0.05). The mortality burden of cardiovascular disease was higher in males (mortality rate 392.80/100 000, DALY rate 8 156.19/100 000) than in females (mortality rate 320.38/100 000, DALY rate 5 876.87/100 000). With the increase older in age, the mortality burden of cardiovascular disease in China decreased first and then increased. China ranked high in the mortality burden of cardiovascular disease among G20 member countries. Conclusions:The death burden of cardiovascular disease is serious in China. The mortality rate and DALY rate of cardiovascular disease in China showed an increasing trend from 2010 to 2021, and the standardized mortality rate and standardized DALY rate of cardiovascular disease ranked high in G20 member countries. The death burden of cardiovascular disease was more serious in men and the elderly. It is necessary to develop more comprehensive prevention, treatment, and rehabilitation measures for men and the elderly to reduce mortality and disability rates, decrease the disease burden, and improve the quality of life.

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.

Intestinal failure (IF) is defined as the critical reduction of functional intestines below the minimum needed to absorb nutrients and fluids, so that intravenous supplementation with parenteral nutrition (PN) is required to maintain health and/or growth. Although the benefits are evident, patients receiving PN can suffer from serious cholestasis due to lack of enteral feeding and small intestinal bacterial overgrowth (SIBO). One such complication that may arise is intestinal failure-associated liver disease (IFALD). Evidences from recent studies suggest that alterations in the intestinal microbiota, as well as intraluminal bile acid driven signaling, may play a critical role in both hepatic and intestinal injury. Since Marshall first proposed the concept of the gut-liver axis in 1998, the role of gut-liver axis disorders in the development of IFALD has received considerable attention. The conversation between gut and liver is the key to maintain liver metabolism and intestinal homeostasis, which influences each other and is reciprocal causation. However, as a "forgotten organ" , intestinal microbiota on the pathogenesis of IFALD has not been well reflected. As such, we propose, for the first time, the concept of gut-microbiota-liver axis to emphasize the importance of intestinal microbiota in the interaction of gut-liver axis. Analysis and research on gut-microbiota-liver axis will be of great significance for understanding the pathogenesis of IFALD and improving the prevention and treatment measures.
Bacterial Infections/physiopathology* ; Bile Acids and Salts/physiology* ; Cholestasis/physiopathology* ; Enteral Nutrition ; Gastrointestinal Microbiome/physiology* ; Humans ; Intestinal Diseases/physiopathology* ; Intestines/physiopathology* ; Liver/physiopathology* ; Liver Diseases/physiopathology* ; Parenteral Nutrition/adverse effects* ; Short Bowel Syndrome/physiopathology* ; Signal Transduction

Objective: To explore the effect of perioperative chemotherapy on the prognosis of gastric cancer patients under real-world condition. Methods: A retrospective cohort study was carried out. Real world data of gastric cancer patients receiving perioperative chemotherapy and surgery + adjuvant chemotherapy in 33 domestic hospitals from January 1, 2014 to January 31, 2016 were collected. Inclusion criteria: (1) gastric adenocarcinoma was confirmed by histopathology, and clinical stage was cT2-4aN0-3M0 (AJCC 8th edition); (2) D2 radical gastric cancer surgery was performed; (3) at least one cycle of neoadjuvant chemotherapy (NAC) was completed; (4) at least 4 cycles of adjuvant chemotherapy (AC) [SOX (S-1+oxaliplatin) or CapeOX (capecitabine + oxaliplatin)] were completed. Exclusion criteria: (1) complicated with other malignant tumors; (2) radiotherapy received; (3) patients with incomplete data. The enrolled patients who received neoadjuvant chemotherapy and adjuvant chemotherapy were included in the perioperative chemotherapy group, and those who received only postoperative adjuvant chemotherapy were included in the surgery + adjuvant chemotherapy group. Propensity score matching (PSM) method was used to control selection bias. The primary outcome were overall survival (OS) and progression-free survival (PFS) after PSM. OS was defined as the time from the first neoadjuvant chemotherapy (operation + adjuvant chemotherapy group: from the date of operation) to the last effective follow-up or death. PFS was defined as the time from the first neoadjuvant chemotherapy (operation + adjuvant chemotherapy group: from the date of operation) to the first imaging diagnosis of tumor progression or death. The Kaplan-Meier method was used to estimate the survival rate, and the Cox proportional hazards model was used to evaluate the independent effect of perioperative chemo therapy on OS and PFS. Results: 2 045 cases were included, including 1 293 cases in the surgery+adjuvant chemotherapy group and 752 cases in the perioperative chemotherapy group. After PSM, 492 pairs were included in the analysis. There were no statistically significant differences in gender, age, body mass index, tumor stage before treatment, and tumor location between the two groups (all P>0.05). Compared with the surgery + adjuvant chemotherapy group, patients in the perioperative chemotherapy group had higher proportion of total gastrectomy (χ(2)=40.526, P<0.001), smaller maximum tumor diameter (t=3.969, P<0.001), less number of metastatic lymph nodes (t=1.343, P<0.001), lower ratio of vessel invasion (χ(2)=11.897, P=0.001) and nerve invasion (χ(2)=12.338, P<0.001). In the perioperative chemotherapy group and surgery + adjuvant chemotherapy group, 24 cases (4.9%) and 17 cases (3.4%) developed postoperative complications, respectively, and no significant difference was found between two groups (χ(2)=0.815, P=0.367). The median OS of the perioperative chemotherapy group was longer than that of the surgery + adjuvant chemotherapy group (65 months vs. 45 months, HR: 0.74, 95% CI: 0.62-0.89, P=0.001); the median PFS of the perioperative chemotherapy group was also longer than that of the surgery+adjuvant chemotherapy group (56 months vs. 36 months, HR=0.72, 95% CI:0.61-0.85, P<0.001). The forest plot results of subgroup analysis showed that both men and women could benefit from perioperative chemotherapy (all P<0.05); patients over 45 years of age (P<0.05) and with normal body mass (P<0.01) could benefit significantly; patients with cTNM stage II and III presented a trend of benefit or could benefit significantly (P<0.05); patients with signet ring cell carcinoma benefited little (P>0.05); tumors in the gastric body and gastric antrum benefited more significantly (P<0.05). Conclusion: Perioperative chemotherapy can improve the prognosis of gastric cancer patients.
Chemotherapy, Adjuvant ; Female ; Gastrectomy ; Humans ; Male ; Neoadjuvant Therapy ; Neoplasm Staging ; Prognosis ; Retrospective Studies ; Stomach Neoplasms/surgery*

Objective: To observe the incidence and treatment of radiation rectal injury complicated with anxiety, depression and somatic symptom disorder. Methods: A cross-sectional survey research method was carried out. Patients with radiation rectal injury managed by members of the editorial board of Chinese Journal of Gastrointestinal Surgery were the subjects of investigation. The inclusion criteria of the survey subjects: (1) patients suffered from pelvic tumors and received pelvic radiotherapy; (2) colonoscopy showed inflammatory reaction or ulcer in the rectum. Exclusion criteria: (1) patient had a history of psycho-somatic disease before radiotherapy; (2) patient was unable to use a smart phone, unable to read and understand the questions in the questionnaire displayed on the phone; (3) patient refused to sign an informed consent form. According to the SOMA self-rating scale, PHQ-15 self-rating scale, GAD-7 and PHQ-9 self-rating scale, the electronic questionnaire of "Psychological Survey of Radiation Proctitis" was designed. The questionnaire was sent to patients with radiation rectal injury managed by the committee through the WeChat group. Observational indicators: (1) radiation rectal injury symptom assessment: using SOMA self-rating scale, radiation rectal injury symptom classification: mild group (≤3 points), moderate group (4-6 points) and severe group (> 6 points); (2) incidence of anxiety, depression and physical disorder: using GAD-7, PHQ-9 and PHQ-15 self-rating scales respectively for assessment; (3) correlation of radiation rectal injury symptom grading with anxiety, depression, and somatic symptom disorder. Results: Seventy-one qualified questionnaires were collected, of which 41 (56.9%) were from Guangzhou. Among the 71 patients, 6 were males and 65 were females; the mean age was (55.7±9.3) years old and 48 patients (67.6%) were less than 60 years old; the median confirmed duration of radiation rectal injury was 2.0 (1.0, 5.0) years. (1) Evaluation of symptoms of radiation rectal injury: 18 cases of mild (25.4%), 27 cases of moderate (38.0%), and 26 cases of severe (36.6%). (2) Incidence of anxiety, depression and somatic disorder: 12 patients (16.9%) without comorbidities; 59 patients (83.1%) with anxiety, depression, or somatic disorder, of whom 2 patients only had anxiety, 1 patient only had depression, 9 only had somatic disorder, 2 had anxiety plus depression, 4 had anxiety plus somatic disorder, 2 had depression plus somatic disorder, and 40 had all three symptoms. (3) correlation of radiation rectal injury grading with anxiety, depression, and somatic symptom disorder: as compared to patients in mild group and moderate group, those in severe group had higher severity of anxiety and somatic symptom disorder (Z=-2.143, P=0.032; Z=-2.045, P=0.041), while there was no statistically significant difference of depression between mild group and moderate group (Z=-1.176, P=0.240). Pearson correlation analysis revealed that radiation rectal injury symptom score was positively correlated with anxiety (r=0.300, P=0.013), depression (r=0.287, P=0.015) and somatic symptom disorder (r=0.344, P=0.003). Conclusions: The incidence of anxiety, depression, and somatic symptom disorder in patients with radiation rectal injury is extremely high. It is necessary to strengthen the diagnosis and treatment of somatic symptom disorder, so as to alleviate the symptoms of patients with pelvic perineum pain and improve the quality of life.
Aged ; Anxiety ; Cross-Sectional Studies ; Depression ; Female ; Humans ; Male ; Middle Aged ; Quality of Life ; Rectum ; Surveys and Questionnaires

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.