OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.

Alzheimer's disease(AD),a major cause of dementia,is a common neurodegenerative disease,beginning with memory loss and difficulties with thinking,language and problem-solving skills.Intensification of population aging and the increasing incidence of AD have imposed a heavy burden on healthcare systems.Currently,the main pathological explanation remains the excessive accumulation of β-amyloid plaques,formation of neurofibrillary tangles and neuronal loss,but the true etiology and pathogenesis of AD remain unknown.The advances of research in AD,with respect to genetics,pathophysiological mechanism,imaging diagnosis and laboratory diagnosis,are reviewed in this article,aiming to provide references for relevant research and potential clinical applications.

Cardiovascular disease is one of the most common causes of death in the world,and related western drugs usually have obvious side effects.Traditional Chinese medicine,characterized by its multi-component and multi-target,has unique advantage in the prevention and treatment of cardiovascular diseases.Cornus Officinal is a histor-ically used plants with medicinal and edible properties.Ancient books and modern literatures have shown that Cor-nus Officinal has the potential to prevent and treat cardiovascular diseases.With the in-depth study of the chemical composition and pharmacological effect of Cornus Officinal,its pharmacodynamic substances and mechanism in the prevention and treatment of cardiovascular diseases are gradually clear.This article reviews the pathways and targets of Cornus Officinal in the prevention and treatment of cardiovascular diseases in recent years,and summarizes its potential effective components,in order to provide theoretical support for the clinical application and traditional Chinese medicine development.

Cardiovascular disease is one of the most common causes of death in the world,and related western drugs usually have obvious side effects.Traditional Chinese medicine,characterized by its multi-component and multi-target,has unique advantage in the prevention and treatment of cardiovascular diseases.Cornus Officinal is a histor-ically used plants with medicinal and edible properties.Ancient books and modern literatures have shown that Cor-nus Officinal has the potential to prevent and treat cardiovascular diseases.With the in-depth study of the chemical composition and pharmacological effect of Cornus Officinal,its pharmacodynamic substances and mechanism in the prevention and treatment of cardiovascular diseases are gradually clear.This article reviews the pathways and targets of Cornus Officinal in the prevention and treatment of cardiovascular diseases in recent years,and summarizes its potential effective components,in order to provide theoretical support for the clinical application and traditional Chinese medicine development.

Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.

Aim To establish a stable hepatic stellate cell ( HSC ) -specific G protein-coupled receptor kinase 2 ( GRK2 ) knockout mice and provide the important animal model for further studying the biological function of GRK2 in HSC. Methods The loxP-labeled Grk2 gene mouse (Grk2

Objective To observe the clinical efficacy of thumb-tack needling for subcutaeous embedding combined with joint mobilization in the treatment of post-stroke shoulder-hand syndrome.Methods A total of 80 patients with post-stroke shoulder-hand syndrome were randomly divided into a treatment group and a control group,with 40 patients in each group.Both groups were given arthrocentesis,the control group was given ordinary acupuncture on the basis of arthrocentesis,and the treatment group was combined with thumb-tack needling for subcutaeous embedding.One course of treatment was 4 weeks and a total of 4 weeks of treatment was given.After 1 month of treatment,the clinical efficacy of the two groups was evaluated.The changes of Visual Analogue Scale(VAS)of pain scores and simplified Fugl-Meyer Assessment(FMA)scores,as well as the pain-free passive forward flexion and abduction of the shoulder joint of the affected limb were observed before and after treatment.The Simple Quality of Life Scale(SF-36)scores of the patients in the two groups were compared after treatment.The safety and the occurrence of adverse reactions in the two groups were also evaluated.Results(1)The total effective rate was 95.00%(38/40)in the treatment group and 80.00%(32/40)in the control group.The efficacy of the treatment group was superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the VAS scores and upper extremity FMA scores of the patients in the two groups were significantly improved(P＜0.05),and the treatment group was significantly superior to the control group in improving the VAS scores and upper extremity FMA scores,and the differences were statistically significant(P＜0.05).(3)After treatment,the joint mobility of patients in the two groups were significantly improved(P＜0.05),and the improvement of shoulder joint movement in the treatment group was superior to that in the control group,and the difference was statistically significant(P＜0.05).(4)After treatment,the SF-36 Quality of Life Scale scores of the treatment group were significantly superior to those of the control group in terms of physical function,psychological function,emotional health,and social function levels,and the difference was statistically significant(P＜0.05).(5)There was no significant difference in the incidence of adverse reactions between the treatment group and the control group(P＞0.05).Conclusion Thumb-tack needling for subcutaeous embedding combined with joint mobilization exert certain effect in the treatment of post-stroke shoulder-hand syndrome.It can significantly improve the pain symptoms of patients,thus improving their quality of life,and the clinical effect is remarkable.

Aim To study the proliferation,invasion and migration ability of Quaking(QKI)in gastric cancer(GC)via elucidating the molecular mechanisms associated with QKI in the occurrence and development of GC through bioinformatics.Methods Differential expression analysis of QKI was performed across vari-ous human cancer samples by merging data from the TCGA and GTEx databases.The correlation was ana-lyzed between QKI protein expression and tumor muta-tion burden(TMB)score,microsatellite instability(MSI)score,and ESTIMATE score,and the correla-tion was also explored between QKI protein expression and overall survival(OS),disease free survival(DFS),and progression free survival(PFS).EMT related genes that could encode DECircRNAs were ob-tained through bioinformatics analysis to construct a QKI-EMT-circRNAs regulatory network.The differenti-ally expressed circRNAs and EMT related genes in TMK1 cells were verified.The proliferation,invasion and migration ability of the QKI was studied by using the knockdown system.Results QKI was differential-ly expressed in the vast majority of tumors and was closely related to TMB,MSI,and tumor microenviron-ment(TME);QKI emerged as a high-risk factor for predicting OS,DFS,and PFS in individuals with com-mon human cancers.QKI regulated the splicing of 6 EMT related gene transcripts to form eight circRNAs,all of which were significantly associated with the prog-nosis of gastric cancer patients.Cell experiments showed that compared to normal gastric epithelial cells,only hsa_ccirc_0004015,CALD1,and CDK14 were down-regulated in TMK1 cells.Knocking down QKI inhibited the proliferation,invasion and migration ability of TMK1 cells.Conclusion QKI exerts regu-latory control over the transcription of six EMT-related genes,resulting in the formation of circRNAs,thereby promoting the pathogenesis and progression of GC.QKI is highly expressed in TMK1 cells,and knock-down of QKI can inhibit the proliferation,invasion and migration ability of TMK1 cells.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.