Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on families and society. Primary prevention is the cornerstone of stroke control, as early intervention on risk factors can effectively reduce its incidence. Therefore, the development of predictive models for first-ever stroke risk holds substantial clinical value. In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. Second, there is a need to diversify data types and optimize model architectures to construct more comprehensive and precise predictive models. Lastly, particular attention should be given to the clinical validation of models in real-world settings. This not only enhances the robustness and generalizability of the models but also promotes physicians' understanding of predictive models, which is crucial for their application and dissemination.

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.

Objective To observe the curative effect of skuchizumab combined with calcipotriol in patients with moderate to severe plaque psoriasis.Methods Patients with moderate and severe plaque psoriasis were divided into treatment group and control group by cohort method.The control group was given calcipotriol ointment,and an appropriate amount of ointment was evenly applied to the affected area,twice a day,while treatment group was given subcutaneous injection of skuchizumab injection(300 mg/once,once/week;once/4 weeks after 4 weeks of injection)on basis of control group.All patients were treated for 12 weeks.The clinical curative effect,score of psoriasis area and severity index(PASI),quality of life[score of dermatology life quality index(DLQI)],skin barrier function indexes(content of fat and water in stratum corneum),serum vascular endothelial growth factor(VEGF),interleukin-22(IL-22),IL-17 and safety were compared between the two groups after treatment.Results There were 42 cases in control group and 48 cases in treatment group.After treatment,total response rates of treatment group and control group were 93.75％(45 cases/48 cases)and 78.57％(33 cases/42 cases),the difference was statistically significant(P＜0.05).After treatment,PASI score in treatment group and control group were(6.57±1.52)and(10.68±2.13)points;DLQI score were(5.36±1.29)and(9.85±1.67)points;content of stratum corneum fat were(49.73±6.16)and(42.81±5.97)μg·cm-2;content of stratum corneum water were(36.84±4.59)％and(29.53±4.06)％;levels of serum VEGF were(136.43±25.05)and(183.52±29.56)pg·mL-1;levels of serum IL-22 were(5.27±1.15)and(7.93±1.43)pg·mL-1,and the differences were statistically significant(all P＜0.05).The adverse drug reactions were mainly on diarrhea,respiratory tract infection and rhinitis in treatment group,while which were mainly on skin irritation and dry skin in control group.There was no significant difference in total incidence of adverse drug reactions between treatment group and control group[8.33％(4 cases/48 cases)vs 7.14％(3 cases/42 cases),P＞0.05].Conclusion Skuchizumab combined with calcipotriol can reduce PASI scores,improve quality of life and skin barrier function,reduce levels of serum VEGF and IL-22 in patients with moderate to severe plaque psoriasis.

Exposure to ionizing radiation intervenes in genomic stability and gene expression,resulting in the disruption of normal metabolic processes in cells and organs by causing complex biolog-ical responses.Altered genomic variations,gene expression and metabolite concentrations in blood or tissue samples reflect systemic radiation damage.With the application of new techniques and exten-sive study on the mechanisms for ionizing radiation damage,related indicators such as chromosomal variation,gene expression,lipid and metabolism are being recognized and promise to be the markers for early diagnosis and prognosis of radiation exposure.Therefore,this article reviews recent progress in and potential applications of biomarkers related to ionizing radiation injury.

Objective:To analyze the influence of 5E rehabilitation mode on cardiac function,exercise capacity,self-man-agement ability and quality of life(QOL)in patients with coronary heart disease(CHD)after percutaneous coronary inter-vention(PCI).Methods:A total of 123 patients diagnosed with CHD in our hospital from April 1,2022 to April 1,2023 were selected and divided into control group(n=61,received routine nursing mode)and observation group(n=62,5E re-habilitation nursing mode was adopted on the basis of control group)using random number table method.Both groups were continuously intervened for three months.Cardiac function,exercise capacity,self-management level and QOL were compared between the two groups before and after intervention.Results:After intervention,compared with control group,there were significant rise in SV[(69.66±4.86)ml vs.(75.94±5.29)ml],CI[(3.11±0.30)L·min-1·m-2 vs.(3.39±0.36)L·min-1·m-2],LVEF[(57.22±5.82)％vs.(68.54±5.31)％],MET[(4.36±0.64)vs.(5.09±0.86)],6min walking distance[(296.52±18.72)m vs.(359.33±19.75)m],scores of CSMS[(89.32±11.85)points vs.(112.31±9.63)points],CQQC[(111.56±9.27)points vs.(139.50±7.59)points]in observation group,P=0.001 all;and significant reductions in LVEDd[(52.12±4.84)mm vs.(41.28±4.74)mm],LVESd[(48.39±3.82)mm vs.(42.26±3.57)mm],BNP level[(99.63±6.31)pg/ml vs.(60.52±7.11)pg/ml],propor-tion of NYHA class Ⅲ(25.00％vs.10.00％)in observation group,P＜0.05 or＜0.01.Conclusion:The application of 5E rehabilitation nursing can significantly improve cardiac function,enhance exercise capacity,strengthen the self-man-agement behavior and improve quality of life in postoperative clinical nursing of patients with coronary heart disease after percutaneous coronary intervention,which has high clinical application value.

Objective:To explore the value of common nutritional indexes to assess the severity of elderly patients with chronic obstructive pulmonary disease(COPD).Methods:The data of 94 elderly COPD patients who were hospitalized in the Department of Internal Medicine of Huangshan Shoukang Hospital from January 2018 to August 2020 were retrospectively analyzed.According to the final outcome of the patients,the patients were divided into improvement group(n=83)and ICU group(n=11).The nutritional status and lung functions of patients were assessed.Data including forced expiratory volume in one second/prediction(FEV1/Pre)was collected.The correlation of levels of body mass index(BMI),albumin,prealbumin,retinol binding protein,lymphocyte count,and geriatric nutritional risk index with FEV1/Pre was analyzed.And the value of these indexes in predicting whether patients needed to be transferred to ICU or not was analyzed.Results:Among the 94 patients,60 were male and 34 were female.The age ranged from 50 to 92 years old,and the quartile was 78(72,83)years old.The correlation coefficients between FEV1/Pre and levels of BMI,albumin,prealbumin,retinol binding protein,lymphocyte count,and geriatric nutritional risk index were 0.535(P<0.001),0.726(P<0.001),0.351(P=0.001),0.498(P<0.001),0.572(P<0.001),and 0.940(P<0.001),respectively.The areas under the ROC curve predicted by levels of BMI,albumin,prealbumin,retinol binding protein,lymphocyte count,and geriatric nutritional risk index were 0.744(95%CI:0.544～0.944,P<0.001),0.834(95%CI:0.669～1.000,P<0.001),0.658(95%CI:0.468～0.823,P<0.001),0.602(95%CI:0.408～0.811,P<0.001),0.649(95%CI:0.428～0.856,P<0.001),and 0.875(95%CI:0.751～0.999,P<0.001),respectively.Conclusions:Levels of BMI,prealbumin,retinol binding protein,lymphocyte count,and geriatric nutritional risk index had certain correlation with the severity of COPD,which could be used to assess the severity of COPD.The elderly nutritional risk index showed the best prediction value.

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.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.