Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Tooth loss is a common oral problem, and cognitive decline is a primary manifestation of neurodegenerative diseases in the elderly. Both conditions affect their daily living abilities and quality of life. Studies have shown that tooth loss may negatively impact cognitive function through physiological mechanisms such as neural pathways and inflammatory factors, and social, psychological and behavioral factors are identified as important modifiable elements for preventing cognitive decline. This review examined literature about tooth loss and cognitive decline in the elderly, and explored the potential pathways of social, psychological and behavioral factors between these two conditions. The findings indicated that tooth loss may increase the risk of cognitive decline through reduced social participation, social isolation and limited social capital, increased chronic stress, depression and negative aging attitudes, as well as altered physical activity patterns, sleep duration and diets. For the elderly with tooth loss, targeted preventive and intervention measures addressing social, psychological and behavioral aspects can be implemented to prevent and delay cognitive decline, thereby improving their quality of life.

Aim To investigate the effects of berberine(BBR)combined with 5'-n-ethylformamidoadenosine(NECA)on myocardial H9c2 and HL-1 cell damage induced by hypoxia/reoxygenation(H/R).Methods H9c2 and HL-1 cells were divided into the Control group,BBR group,NECA group,combined administra-tion group,H/R group,BBR+H/R group,NECA+H/R group,and combined administration+H/R group.CCK-8 was used to detect cell viability in each group.The TMRE kit was used to detect MMP.DCFH-DA was used to detect ROS content.The Mito SOX Red fluorescent probe was used to detect mitochondrial su-peroxide.The expressions of COX Ⅳ,Tom20,and Tim23 were detected by Western blot.The expression of COX Ⅳ and Tom20 genes was detected by qRT-PCR.Results In H9c2 cells,the cell viability and TMRE fluorescence intensity in the H/R group were significantly decreased compared with the Control group.The protein expressions of COX Ⅳ,Tom20,and Tim23,gene expressions of COX Ⅳ and Tom20,ROS,and mitochondrial superoxide contents were significant-ly increased.Compared with the H/R group,the cell viability of BBR and NECA were enhanced after ad-ministration alone.The contents of ROS and mitochon-drial superoxide were significantly decreased.In HL-1 cells,cell viability in the H/R group was significantly decreased compared with the Control group.The con-tents of ROS and mitochondrial superoxide were signifi-cantly increased.Compared with the H/R group,BBR and NECA alone and combined administration en-hanced cell viability.The contents of ROS and mito-chondrial superoxide were significantly decreased.Conclusion The administration of BBR and NECA a-lone or in combination can reduce the production of mi-tochondrial superoxide and cell ROS,thereby allevia-ting mitochondrial damage,alleviating oxidative stress damage,and ultimately reducing H/R-induced myocar-dial cell damage.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

This paper reviews the concepts, status, influencing factors and interventions of home self-management of diabetic foot ulcers patients, with a view to providing reference for establishing and improving the home self-management model of diabetic foot ulcers patients suitable for China.

Objective:To investigate the current status of self-regulatory fatigue in patients after hematopoietic stem cell transplantation (HSCT) and analyze its influencing factors.Methods:From March 2022 to September 2023, convenience sampling was used to select 161 HSCT patients who were hospitalized and followed up in the Hematology Department of a Class Ⅲ Grade A hospital in Jinan City. A survey was conducted on patients using the General Information Questionnaire, Self-Regulatory Fatigue Scale (SRF-S), Perceived Social Support Scale, Connor and Davidson Resilience Scale, and Medical Coping Modes Questionnaire. Pearson correlation was used to analyze the correlation between self-regulatory fatigue and perceived social support, psychological resilience, and medical coping styles in patients after HSCT. Multiple linear regression was used to analyze the influencing factors of self-regulatory fatigue in patients after HSCT.Results:A total of 161 questionnaires were distributed, and 156 valid questionnaires were collected, with an effective response rate of 96.89% (156/161). The total SRF-S score of 156 patients after HSCT was (49.06±6.62). Multiple linear regression analysis showed that the current work or life status, perceived social support, psychological resilience, avoidance and surrender coping styles were the influencing factors of self-regulatory fatigue in patients after HSCT ( P<0.05) . Conclusions:After HSCT, patients generally experience self-regulatory fatigue, and psychological distress needs improvement. Medical and nursing staff should regularly evaluate the self-regulatory fatigue of patients and develop targeted intervention measures based on influencing factors to reduce the degree of self-regulatory fatigue of patients, improve their prognosis and psychological state.

Triangle chronic disease stratified management model, as an effective chronic disease management model, can divide patients into different levels according to the stratified disease assessment criteria, enhance intervention effectiveness, improve management efficiency, and reduce costs by implementing targeted and personalized nursing measures. This article summarizes the overview of the Triangle chronic disease stratified management model, research progress at home and abroad, and the current application status in transitional care for chronic disease patients in order to provide a reference for medical staff to carry out transitional care for chronic disease patients.

Objective:To explore the different categories of home-based functional exercise adherence in patients undergoing total knee arthroplasty (TKA), identify the influencing factors, and provide a reference for the development of personalized intervention strategies.Methods:A cross-sectional study was conducted using convenience sampling to select 320 patients who underwent unilateral primary TKA at The First Affiliated Hospital of Shandong First Medical University between November 2022 and January 2023. The Orthopedic Functional Exercise Compliance Scale, Rehabilitation Self-Efficacy Scale, and Social Support Rating Scale were used for data collection. Latent profile analysis was employed to identify the latent characteristics of home-based functional exercise adherence in TKA patients. Univariate analysis and logistic regression were used to explore the influencing factors among different subgroups.Results:A total of 320 questionnaires were distributed, with 307 valid responses, yielding a recovery rate of 95.94%. The 307 patients were classified into three latent profile categories based on their characteristics: low adherence group (29.32%, 90/307), moderate adherence group (46.58%, 143/307), and high adherence group (24.10%, 74/307). Logistic regression analysis revealed that the number of comorbidities, marital status, home rehabilitation environment, pain score, education level, social support, and rehabilitation self-efficacy were influencing factors for home-based exercise adherence in TKA patients ( P< 0.05) . Conclusions:Home-based functional exercise adherence in TKA patients can be categorized into three latent profiles. Healthcare providers should implement targeted interventions based on the specific characteristics of each patient, with a focus on those with low adherence, to enhance their compliance with home-based exercises.