Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.

The pain-evoked potential electroencephalogram (EEG) is an effective electrophysiological indicator for pain assessment, yet its extraction is challenging due to interference from background activity and involuntary blinks. Although existing blink artifact-removal methods show efficacy, they face limitations such as the need for reference signals, neglect of individual differences, and reliance on user input, hindering their practical application in clinical pain assessments. In this paper, we propose a novel framework applying adaptive quadrature mirror filter banks (AQMFB) with discrete wavelet transform (DWT) to remove blink artifacts in pain EEG. Unlike traditional DWT methods that apply fixed wavelets across subjects, our method adapts wavelet construction based on the characteristics of EEG. Experimental results demonstrate that AQMFB-DWT outperforms four leading methods in removing blink artifacts with minimal distortion of pain information, all within an acceptable processing time. This technique is a valuable preprocessing step for enhancing the extraction of pain-evoked potentials.
Humans ; Artifacts ; Blinking/physiology* ; Electroencephalography/methods* ; Pain/diagnosis* ; Male ; Wavelet Analysis ; Adult ; Female ; Evoked Potentials/physiology* ; Young Adult ; Brain/physiopathology* ; Pain Measurement/methods* ; Signal Processing, Computer-Assisted

Age-related macular degeneration(AMD)is a chronic degenerative retinal disease that severely impairs pa-tients central vision.Research indicates that the complement system is closely associated with the onset and progression of AMD,playing a key role in its pathogenesis,involving various factors such as genetic risk,inflammatory responses,and oxidative stress.This review summarizes the relationship between complement system activation and AMD,as well as re-cent clinical trials targeting complement-based therapies for AMD,with the aim of providing insights for both basic research and clinical treatment of AMD.

The number of maintenance hemodialysis patients in China has been steadily increasing. With the continuous iteration of technological innovations, healthcare has entered a new phase of digital healthcare development. This paper summarizes the overview and development of digital healthcare and its application in patients with maintenance hemodialysis. It also discusses existing challenges and corresponding strategies, aiming to provide references for the development of digital healthcare in hemodialysis.

This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Age-related macular degeneration(AMD)is a chronic degenerative retinal disease that severely impairs pa-tients central vision.Research indicates that the complement system is closely associated with the onset and progression of AMD,playing a key role in its pathogenesis,involving various factors such as genetic risk,inflammatory responses,and oxidative stress.This review summarizes the relationship between complement system activation and AMD,as well as re-cent clinical trials targeting complement-based therapies for AMD,with the aim of providing insights for both basic research and clinical treatment of AMD.

The number of maintenance hemodialysis patients in China has been steadily increasing. With the continuous iteration of technological innovations, healthcare has entered a new phase of digital healthcare development. This paper summarizes the overview and development of digital healthcare and its application in patients with maintenance hemodialysis. It also discusses existing challenges and corresponding strategies, aiming to provide references for the development of digital healthcare in hemodialysis.

Objective:To observe the effects of kidney-tonifying and mind-calming acupuncture therapy on sleep,mood,sex hormone levels,and traditional Chinese medicine(TCM)symptoms in patients with perimenopausal insomnia(PMI). Methods:A total of 90 patients with PMI were randomly divided into a treatment group and a control group,with 45 cases in each group.Patients in the treatment group were treated with acupuncture at Shenshu(BL23),Taixi(KI3),Baihui(GV20),and Anmian(Extra).The control group was treated with sham acupuncture.Both groups were treated 3 times a week for 4 weeks.Pittsburgh sleep quality index(PSQI)and insomnia severity index(ISI)were used to evaluate the sleep quality of the subjects before treatment,after treatment,and 1 month after treatment(follow-up).Beck depression inventory(BDI)and Beck anxiety inventory(BAI)were used to evaluate the depression and anxiety of the subjects before treatment,after treatment,and at 1-month follow-up.The TCM symptom scale was used to evaluate the TCM symptoms of the subjects before treatment,after treatment,and 1 month after treatment.Serum levels of estradiol(E2),follicle-stimulating hormone(FSH),and luteinizing hormone(LH)were measured before and after treatment. Results:During the study,2 cases dropped out of the treatment group,and no cases dropped out of the control group.The PSQI scores of the treatment group were significantly lower after treatment and at 1-month follow-up compared with those before treatment(P<0.05),and the difference was statistically significant compared with that of the control group(P<0.05).In the control group,the PSQI score was significantly lower after treatment compared with before treatment(P<0.05),and the difference was not statistically significant at 1-month follow-up compared with before treatment(P>0.05).Compared with the pre-treatment,the ISI,BDI,BAI,and TCM symptom scale scores of the treatment group were lower after treatment and at 1-month follow-up(P<0.05),and the differences with the control group at the same time point were statistically significant(P<0.05).The differences in ISI,BDI,BAI,and TCM symptom scale scores of the control group before treatment,after treatment,and at 1-month follow-up were not statistically significant(P>0.05).After treatment,the serum E2 level in the treatment group was significantly higher than that before treatment(P<0.05),and the difference with the control group was statistically significant(P<0.05).The difference in the serum E2 level before and after treatment in the control group was not statistically significant(P>0.05).The differences in the serum FSH and LH levels between before and after treatment were not statistically significant in either group of subjects(P>0.05). Conclusion:Kidney-tonifying and mind-calming acupuncture therapy can improve sleep quality,relieve anxiety and depression,delay the decrease of serum E2 level,and improve related TCM symptoms in patients with PMI.