Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

OBJECTIVES: To evaluate the feasibility, efficacy and safety of Sentinel cerebral embolic protection device (CEPD) during transcatheter aortic valve replacement (TAVR). This study is a subgroup analysis of the China Moderate to Severe Valvular Heart Disease Registry, which has been registered at the Chinese Clinical Trial Registry (ChiCTR2300075006). METHODS: Patients undergoing TAVR with the Sentinel CEPD from October 2023 to September 2024 were retrospectively enrolled. A total of 80 patients were included, with a median age of 72 (68, 76) years, including 52 males (65.0%) and 28 females (35.0%); 62 patients (77.5%) with tricuspid valves, and 18 patients (22.5%) with bicuspid valves; 34 patients (42.5%) with type Ⅰ aortic arch, 24 patients (30.0%) with type Ⅱ aortic arch, 12 patients (15.0%) with type Ⅲ aortic arch, and 10 patients (12.5%) with bovine-type aortic arch. Clinical data of the patients were summarized and analyzed. The primary endpoints were success rate of Sentinel CEPD implantation, as well as all-cause death, symptomatic stroke, transient ischemic attack, and Sentinel CEPD access vessel complications during hospitalization and within 30 days postoperatively. RESULTS: In the 80 patients, self-expanding valves were used in 68 cases (85.0%) and balloon-expandable valves in 12 cases (15.0%). Seventy-nine patients (98.8%) successfully underwent TAVR with Sentinel CEPD deployment. Macroscopically visible debris was captured in 92.5% (74/80) by filters of Sentinel CEPD. Although the procedure time for Sentinel CEPD placement was slightly longer in patients with bovine-type aortic arch, there was no statistically significant difference in deployment time among different aortic arch types (P>0.05). During hospitalization and within 30 days postoperatively, only one case of transient ischemic attack occurred, and there was no all-cause mortality, symptomatic stroke, or access-site vascular complications related to the Sentinel CEPD observed. CONCLUSIONS The Sentinel CEPD demonstrates high feasibility across aortic arch types, potential efficacy in embolic capture, and excellent safety in TAVR.
Humans ; Transcatheter Aortic Valve Replacement/adverse effects* ; Male ; Female ; Aged ; Embolic Protection Devices ; Retrospective Studies ; Intracranial Embolism/prevention & control* ; Aged, 80 and over ; Aortic Valve Stenosis/surgery* ; Aortic Valve/surgery*

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Objective:To detect the prevalence of mosaic loss of chromosome Y in adult men in ten study areas in China, describe the epidemiological distribution of mosaic loss of chromosome Y (mLOY) carriers and assess its prospective association with lung cancer.Methods:Based on the data from baseline survey, genetic analysis and follow-up (as of December 31, 2018) from China Kadoorie Biobank, we used Mosaic Chromosomal Alterations pipeline to detect mLOY carriers in 10 areas in China and described the epidemiological characteristics of mLOY carriers in adult men, including age, area distribution, lifestyle and disease history. We used multivariate logistic regression model to identify the potential relevant factor of mLOY. Cox proportional hazard regression model was fitted to assess the prospective association of mLOY with lung cancer. Stratification analysis were conducted to evaluate the potential modification effects of smoking and age. We also conducted mediation analysis to assess the mediating effect of mLOY in the association between smoking and lung cancer.Results:A total of 42 859 adult men were included in our analysis, in whom 2 458 mLOY carriers were detected (5.7%). The detection rate increased with age ( P<0.05). The detection rate was higher in urban area (7.3%±0.2%) than that in rural area (4.7%±0.1%). The results of logistic regression analysis indicated that smoking might be a risk factor for the detection of mLOY ( OR=1.49, 95% CI:1.36-1.64). After follow-up for average 11.1 years, 1 041 lung cancer cases were observed. The prospective analysis showed that mLOY carriers had an increased risk for lung cancer by 24% compared with non-mLOY carriers ( HR=1.24, 95% CI:1.01-1.52) and expanded mLOY carriers (mLOY cell proportion ≥10%) had an increased risk for lung cancer by 50% ( HR=1.50, 95% CI:1.13-2.00). Stratification analysis showed no modification effects of smoking and age in the association between mLOY and lung cancer (interaction P>0.05). Mediation analysis showed that mLOY could be a mediating factor in the association between smoking and lung cancer, the estimated effect was 0.09 (0.01-0.17). Conclusions:There were significant differences in the detection rate of mLOY in adult men with different social-economic characteristics and lifestyles in ten areas in China. Besides, mLOY carriers, especially expanded mLOY carriers, had increased risk for lung cancer and mLOY might be a mediating factor in the association between smoking and lung cancer.

Transcatheter aortic valve replacement(TAVR)is one of the most important guideline-recommended procedures for severe symptomatic aortic stenosis.Acute cerebral infarction is a serious complication after TAVR,with a high incidence rate and may significantly affect patient prognosis and quality of life.Thrombolysis and mechanical thrombectomy are standard treatments for acute cerebral infarction recommended by guidelines,but evidence of their efficacy and safety in patients undergoing TAVR is limited.We report a patient with acute cerebral infarction after TAVR,who were treated with emergency cerebral angiography and successful transcatheter thrombectomy.

Objectives:To explore the effects of interatrial shunt on cardiac function and clinical prognosis of patients with heart failure with reduced ejection fraction(HFrEF). Methods:This study was a prospective single-arm study.From December 2021 to December 2022,15 consecutive patients with HFrEF from Beijing Anzhen Hospital were enrolled in this study.Interatrial shunt was performed with a D-Shant atrial shunt device.Right heart catheterization was performed before and immediately after device implantation,pulmonary capillary wedge pressure(PCWP),mean right atrial pressure(RAP),interatrial gradient pressure,mean pulmonary artery pressure,total pulmonary resistance(TPR),pulmonary vascular resistance(PVR),cardiac index(CI),and pulmonary/systemic blood flow ratio(Qp/Qs)were measured.Patients were followed-up for 12 months after procedure,changes in cardiac structure and function were evaluated by echocardiography.NYHA classification,6-minute walking distance(6MWD),and Kansas City cardiomyopathy questionnaire(KCCQ)were observed.All-cause mortality and rehospitalization for heart failure served as clinical endpoints. Results:Interatrial shunt procedure was successful in all patients.Compared with preoperative value,PCWP,interatrial gradient pressure,mean pulmonary artery pressure,and TPR were significantly decreased,while Qp/Qs was significantly increased immediately after procedure(all P<0.01).There were no significant changes in RAP,PVR,and CI post procedure(all P>0.05).There were no significant differences in shunt size,shunt velocity,and shunt pressure difference between postoperative immediately and at 12-months follow-up(all P>0.05).At 12 months,left ventricular ejection fraction was significantly higher than baseline level(P<0.05),and there were no significant changes in right atrial diameter and right ventricular fractional area change(both P>0.05).Compared with preoperative status,NYHA classification was improved,KCCQ score was increased,and the number of patients with 6MWD>450 m was increased at 12 months(all P<0.05).N-terminal pro-B-type natriuretic peptide value was significantly decreased at 12 months(P<0.05).No patient died during the 12-months follow-up period,and there were no device-related adverse events.Two patients experienced hospital readmission for heart failure. Conclusions:Implantation of interatrial shunt device could effectively improve hemodynamic parameters in patients with HFrEF and is related to significantly improved cardiac function at 12-months follow-up.

Objective:To investigate the effect of the distance of the circumferential resection margin (CRM) on postoperative recurrence after laparoscopic radical resection of colon cancer.Methods:The clinical data of 83 patients who underwent laparoscopic radical resection of colon cancer in Yiwu Central Hospital from January 2020 to January 2022 were retrospectively included. They were divided into recurrent group (16 cases) and non-recurrent group (67 cases) according to the recurrence within 1 year after operation. The clinical data, postoperative CRM distance and laboratory indicators of the two groups were collected to analyze the influence of CRM distance on postoperative recurrence after laparoscopic radical resection of colon cancer.Results:The proportion of patients treated with postoperative chemotherapy, and postoperative CRM distance in the recurrent group were lower than those in the non-recurrent group: 9/16 vs. 83.58 % (56/67), (0.85 ± 0.23) mm vs. (1.64 ± 0.76) mm. The levels of CEA and CA19-9 at admission were higher than those in the non-recurrent group: (156.74 ± 11.58) μg/L vs. (149.96 ± 10.26) μg/L, (15.63 ± 2.77) kU/L vs. (14.04 ± 2.35) kU/L, and the differences were statistically significant ( P<0.05). Point binary correlation analysis showed that there was a negative correlation between CRM distance and postoperative recurrence after laparoscopic radical resection of colon cancer ( r = - 0.412, P<0.01). Multivariate Logistic regression analysis showed that the long distance of CRM was the protective factor of recurrence after laparoscopic radical resection of colon cancer ( OR<1, P<0.05). The results of the receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of the CRM distance to predict the recurrence after laparoscopic radical resection of colon cancer was 0.833>0.7, and the predictive value was good. When the optimal threshold was 1.080 mm, the ideal sensitivity and specificity could be obtained 87.50% and 81.00%. Conclusions:The shorter the CRM distance after laparoscopic radical resection of colon cancer, the higher the risk of recurrence. The CRM distance can be used as a predictor of recurrence after laparoscopic radical resection of colon cancer.