ObjectiveTo evaluate the effects and safety of the optimized new Shengmai Powder （优化新生脉散方） on exercise tolerance in patients with chronic heart failure （CHF） of qi deficiency， blood stasis， and fluid retention syndrome. MethodsA randomized， double-blind， placebo-controlled trial was conducted. A total of 78 CHF patients with qi deficiency， blood stasis， and fluid retention syndrome were recruited and randomly assigned to a treatment group （39 cases） and a control group （39 cases）. On the basis of conventional western medical therapy， patients in the treatment group additionally received the optimized new Shengmai Powder granules， while the control group was given an oral placebo of optimized new Shengmai Powder granules. Patients in both groups took 30.6 g each time， twice a day， mixed with water for administration， with a total treatment course of 4 weeks. The primary outcomes were 6-minute walk distance （6MWD） and peak oxygen uptake （Peak VO₂） measured by cardiopulmonary exercise testing. Secondary outcomes included New York Heart Association （NYHA） functional classification， B-type natriuretic peptide （BNP） levels， cardiac function indexes including left ventricular ejection fraction （LVEF）， left ventri-cular end-systolic diameter （LVESD） and left ventricular end-diastolic diameter （LVEDD）， Minnesota Living with Heart Failure Questionnaire （MLHFQ） scores， and scores of four diagnostic information of traditional Chinese medicine （TCM）. All indicators were assessed once before and after treatment respectively. Safety indicators were evaluated， and adverse events during the trial were recorded. ResultsAll patients in both groups were included in the full ana-lysis set （FAS） and safety set （SS）. Compared with baseline， the 6MWD and Peak VO₂ of cardiopulmonary exercise test in the treatment group significantly increased after treatment， while the MLHFQ scores， serum BNP levels and scores of TCM four diagnostic information significantly decreased， and the NYHA cardiac function grade significantly improved （P＜0.01）. After treatment， the 6MWD and Peak VO₂ of cardiopulmonary exercise test， as well as their changes from baseline in the treatment group were higher than those in the control group； the MLHFQ scores， serum BNP levels and scores of TCM four diagnostic information in the treatment group were lower than those in the control group； and the improvement of NYHA cardiac function grade in the treatment group was superior to that in the control group （P＜0.01）. There was no statistically significant differences in all indicators after treatment in the control group （P＞0.05）. The incidence of adverse events was 5.1% （2/39） in the treatment group and 2.6% （1/39） in the control group， with no statistically significant difference between groups （P＞0.05）. ConclusionOn the basis of conventional western medicine treatment， the addition of the optimized new Shengmai Powder can further improve exercise tolerance， cardiac function and quality of life in patients with CHF of qi deficiency， blood stasis and fluid retention syndrome， and show good safety.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objective This study aimed to investigate the seasonal variation of mosquitoes in Yantai, Shandong Province, and provide a scientific basis for mosquito and mosquito-borne disease control. Methods From March to November for each of the years between 2020 and 2023, adult mosquitoes were collected from different habitats, including parks, hospitals, urban residential areas, rural households and livestock sheds, in 13 counties of Yantai City using a mosquito trap lamp method, among which, female mosquitoes were separated and identified, and the numbers were counted. We used the circular distribution method to analyze the temporal distribution characteristics of mosquito density. Results The γ values obtained for mosquitoes in Yantai from 2020 to 2023, the distribution of mosquitoes in different habitats, and dominant mosquito species in different months showed strong seasonality, with values ranging from 0.7461 to 0.8531(P ＜ 0.05). The peak period of seasonal variation in mosquitoes occurred from June 28thto September 13th, with August 5thbeing identified as the peak day. The peak periods of seasonal variation in mosquitoes in residential areas, parks, hospitals, peasant households, and animals sheds were observed from June 24thto September 14th, June 25thto September 10th, June 22ndto September 12th, July 1stto September 9th, and July 2ndto September 17th, respectively, with corresponding peak days on August 4th,3rd, 2nd, 5th, and 9th, respectively. The peak periods of Culex pipiens pallens, Aedes albopictus, and Anopheles sinensis were from June 26thto September 11th, June 28thto September 17th, and July 12thto September 17th, respectively, with corresponding peak days on August 3rd,7th, and 14th, respectively. Conclusions Our findings in this study revealed that the peak of mosquito activity in Yantai was concentrated in early August, with a peak period extending from June 28thto September 13th, and there were differences between different habitats(with peak periods for rural households and livestock sheds occurring later than those in residential areas, parks, and hospitals). Moreover, with respect to the mosquito species, populations of Cx. pipiens pallens and Ae. albopictus peaked earlier than those of An. sinensis. Based on these findings, we recommend that city-wide mosquito control work should commence in late June, and include appropriate early prevention and control measures for key habitats, such as livestock sheds, and dominant mosquito species, such as Cx. pipiens pallens, to minimize the density of mosquito vectors and the risk of disease transmission.

[Purpose]To analyze the incidence and mortality of liver cancer in Fusui County of Guangxi Zhuang Autonomous Region in 2019 and the trend of change from 201 1 to 2019.[Meth-ods]Based on the incidence and mortality data of liver cancer in Fusui County from 2011 to 2019,the crude incidence rate,crude mortality rate,age-standardized rate by Chinese standard population(ASIRC/ASMRC),age-standardized rate by world standard population(ASMRW/ASM-RW),disability-adjusted life years(DALY),years of life lost(YLL),years of lived with disability(YLD)were calculated.The Joinpoint linear regression model was used to calculate the average annual percentage change(AAPC)of the ASIRC/ASMRC and DALY rate of liver cancer in Fusui County from 2011 to 2019.[Results]In 2019,there were 345 new cases and 298 deaths of liver cancer in Fusui County,accounting for 28.49％and 35.86％of all new cases and death cases of malignant tumors in Fusui County,respectively.The crude incidence rate,ASIRC and ASIRW were 74.71/105,67.55/105 and 65.63/105,respectively;the crude mortality rate,ASMRC and ASMRW were 64.53/105,58.78/105 and 56.88/105,respectively.In 2019,ASIRC/ASMRC of men were higher than those of women(105.32/105 and 95.67/105 for men;27.26/105 and 19.11/105 for women).The peak incidence and mortality rates were in the 65～69 and 80～84 age groups,re-spectively.The incidence rate of liver cancer in Fusui County declined from 82.50/105 in 2011 to 67.55/105 in 2019,with an AAPC of-3.01％(P=0.024),but the mortality rate did not have sig-nificant changes(AAPC=-1.44％,P=0.224).The rate of DALY decreased from 14.51/105 to 10.36/105,with an AAPC of-2.82％(P=0.050).[Conclusion]The incidence rate and DALY rate of liv-er cancer in Fusui County showed an overall decreasing trend from 2011 to 2019,but still re-mained at a high level.It is necessary to further strengthen the prevention,screening and early treatment of liver cancer in this region,especially for men and the elderly.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective:To explore the effectiveness of the scaffolding teaching mode from the perspective of deep learning in basic nursing techniques course.Methods:From September 2023 to June 2024, 324 nursing students at Suzhou Vocational Health College in the 2023 cohort were selected as research subjects using convenience sampling. Three classes were designated as experimental group ( n=167), and three classes were designated as control group ( n=157). Control group received the traditional teaching mode, while experimental group received a scaffolding teaching mode from the perspective of deep learning on the basis of control group. Teaching effectiveness was evaluated using course grades, the Academic Self-Efficacy Scale, and the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates. Results:A total of 324 questionnaires were distributed and 324 valid questionnaires were collected, with a valid response rate of 100.00% (324/324). After teaching, the experimental group's nursing course grades were statistically higher than those of the control group ( P<0.05). After teaching, the experimental group's nursing students demonstrated statistically higher total scores and scores across all dimensions on the Academic Self-Efficacy Scale compared to the control group ( P<0.01). After teaching, the experimental group of nursing students scored statistically higher than the control group on the total score of the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates, as well as on the dimensions of self-management and learning cooperation ability ( P<0.01) . Conclusions:The implementation of the scaffolding teaching mode from the perspective of deep learning for basic nursing techniques course enhances vocational nursing students' academic performance, academic self-efficacy, and autonomous learning competencies.

Objective To construct the K64 capsule depolymerase recombinant protein,Dep44,and investigate its potential application against carbapenem-resistant Klebsiella pneumoniae(CRKP)infections.Methods The de-polymerase-encoding phage vB_Kpn_HF1013(GenBank:PP803128)was isolated and genomically analyzed to screen for candidate depolymerases.The recombinant protein Dep44 was constructed and functionally verified for depolymerase activity.Dep44 sensitive range was validated and Dep44 antimicrobial activity was assessed by bio-film disruption and serum sterilization assays.Results The tail spike protein of phage vB_Kpn_HF1013 exhibited depolymerase activity and recombinant protein Dep44 specifically degraded K64 CRKP capsule.Biofilm eradication assays demonstrated that recombinant Dep44 at both 2 μg/mL and 10 μg/mL significantly disrupted bacterial bio-films relative to the control.Serum bactericidal assays showed that Dep44 exhibited synergistic activity with serum,dependent on the complement system,as Dep44 alone lacked bactericidal properties.Conclusion Dep44 effec-tively targets and degrades K64 CRKP capsule,disrupts biofilms,and enhances serum bactericidal activity,high-lighting its potential for managing K64 CRKP infections and clearing biofilms from medical devices.