Gorham-Stout disease(GSD) is a rare osteolytic disorder characterized by spontaneous and progressive osteolysis, along with abnormal angiogenesis and lymphangiogenesis, with no new bone formation. We present a case of a 15-year-old female admitted due to " recurrent right leg pain for 5 years, 11 months after undergoing right femoral fracture surgery". Through comprehensive integration of the patient's clinical phenotype, laboratory tests, imaging findings, pathological examinations, and molecular biological test results, GSD was considered highly likely. A multidisciplinary treatment approach was conducted, including a combination of zoledronic acid and sirolimus to inhibit osteolysis, along with rehabilitation training and orthopedic intervention, providing a personalized and comprehensive treatment strategy.

ObjectiveTo investigate the role of interleukin （IL）-17A in acute inhalational pneumonia induced by the highly drug-resistant and hypervirulent Staphylococcus aureus strain USA300-R in mice. MethodsAn acute inhalational pneumonia model was established in mice using an aerosolized pulmonary delivery technique. RNA sequencing （RNA-seq） and enzyme-linked immunosorbent assay （ELISA） were employed to examine the expression dynamics of Il17a mRNA and IL-17A protein， respectively， in the lungs of infected mice. Il17a knockout （Il17a^-/-） mice were generated using CRISPR/Cas9 gene editing technology. The survival rate， body weight， bacterial load in lung tissue， and histopathological changes were compared between Il17a^-/- and wild-type （WT） mice following inhalational infection with USA300-R. Results12 hours after USA300-R infection， compared to pre-infection， the expression level of Il17a mRNA in lung tissue and the level of IL-17A protein in bronchoalveolar lavage fluid （BALF） increased by approximately 50-fold （P<0.01） and 6-fold （P<0.001）， respectively. Compared to WT mice， Il17a^-/- mice exhibited approximately 10-fold higher bacterial loads in lung tissue at both 12 and 24 hours post-infection （P<0.001， P<0.05）. However， they showed significantly attenuated lung histopathological injury， reduced alveolar wall thickening， markedly decreased neutrophil infiltration， and an approximately 50% improvement in survival rate （P<0.05）. ConclusionIn acute Staphylococcus aureus USA300-R inhalational pneumonia， IL-17A contributes to bacterial clearance by recruiting neutrophils； however， excessive neutrophil infiltration exacerbates pulmonary inflammation and injury， reduces survival rates， and represents a potential therapeutic target.

Objective To explore the potential profile of body image and its influencing factors among head and neck cancer patients.Methods Convenience sampling was employed to investigate 335 head and neck cancer patients in a tertiary hospital in Shandong Province from October 2023 to May 2024.Data was collected using the patient's general information questionnaire,Body Image Scale,Medical Coping Modes Questionnaire,Perceived Social Support Scale,Comprehensive Score for Financial Toxicity based on the Patient-Reported Outcome Measures.Latent profile analysis and multivariate Logistic regression analysis were used to explore distinct profiles and influencing factor of body image in head and neck patients.Results A total of 335 valid questionnaires were collected in this study,and 95.4％of the valid questionnaires were included.Body image of patients with head and neck cancer could be divided into 3 latent profiles:body emotional stability(41.5％),body cognitive dissatisfaction(33.7％)and social behavior avoidance(24.8％).Age,location of cancer onset,stage of cancer,surgical treatment,medical coping style(facing coping,yielding coping),social support and economic toxicity were the factors influencing the latent profiles of body image in patients with head and neck cancer(P＜0.05).Conclusion There is heterogeneity in body image of patients with head and neck cancer.Medical staff should implement targeted management strategies based on the influencing factors of different profiles to reduce the body image disorders in patients with head and neck cancer,and to promote patients to better return to society.

Sustained inflammatory responses are closely related to various severe diseases,and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment.Natural products have garnered considerable concern for the treatment of inflammation.Huanglian-Wumei decoction(HLWMD)is a classic prescription used for treating inflammatory diseases,but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated.Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory,we successfully obtained berberine(BBR)-chlorogenic acid(CGA)supramolecular(BCS),which is an herbal pair from HLWMD.Using a series of characterization methods,we confirmed the self-assembly mechanism of BCS.BBR and CGA were self-assembled and stacked into amphiphilic spherical supra-molecules in a 2:1 molar ratio,driven by electrostatic interactions,hydrophobic interactions,and π-πstacking;the hydrophilic fragments of CGA were outside,and the hydrophobic fragments of BBR were inside.This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules.Compared with free molecules,BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide(LPS)-induced pyroptosis.Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB(NF-κB)p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

Objective To explore the potential profile of body image and its influencing factors among head and neck cancer patients.Methods Convenience sampling was employed to investigate 335 head and neck cancer patients in a tertiary hospital in Shandong Province from October 2023 to May 2024.Data was collected using the patient's general information questionnaire,Body Image Scale,Medical Coping Modes Questionnaire,Perceived Social Support Scale,Comprehensive Score for Financial Toxicity based on the Patient-Reported Outcome Measures.Latent profile analysis and multivariate Logistic regression analysis were used to explore distinct profiles and influencing factor of body image in head and neck patients.Results A total of 335 valid questionnaires were collected in this study,and 95.4％of the valid questionnaires were included.Body image of patients with head and neck cancer could be divided into 3 latent profiles:body emotional stability(41.5％),body cognitive dissatisfaction(33.7％)and social behavior avoidance(24.8％).Age,location of cancer onset,stage of cancer,surgical treatment,medical coping style(facing coping,yielding coping),social support and economic toxicity were the factors influencing the latent profiles of body image in patients with head and neck cancer(P＜0.05).Conclusion There is heterogeneity in body image of patients with head and neck cancer.Medical staff should implement targeted management strategies based on the influencing factors of different profiles to reduce the body image disorders in patients with head and neck cancer,and to promote patients to better return to society.

BACKGROUND:In recent years,brain-computer interface technology has shown significant promise for rehabilitating limb dysfunction in stroke patients.With ongoing research deepening and its broader clinical application,combining brain-computer interface with other rehabilitation therapies to improve limb function has become a focal point of study.OBJECTIVE:To analyze and summarize the efficacy of brain-computer interface combined with various therapies in treating limb dysfunction in stroke patients and to explore the clinical value of these combined strategies.METHODS:The search terms used for the literature review in Chinese databases were"brain-computer interface,BCI,stroke,"while the terms"brain-computer interface,BCI,brain-computer interaction,brain-machine interface,BMI,stroke"were used for English databases.Literature searches were conducted in CNKI,WanFang,VIP,PubMed,Embase,and Web of Science,from the time of database construction to September 2024.Finally,a total of 3 054 articles were retrieved,and 75 articles were included after screening for summarization.RESULTS AND CONCLUSION:Currently,brain-computer interfaces,used alone or in combination with other treatments such as Chinese medical treatment,conventional rehabilitation therapy,or physical factor therapy,are achieving better outcomes in treating limb dysfunction in stroke patients.However,the efficacy of brain-computer interfaces combined with transcranial direct current stimulation for treating upper and lower limb dysfunctions is still debated.Researchers are increasingly recognizing the feasibility of these combined therapies.Yet,challenges such as limited exploration of therapeutic mechanisms,absence of standardized protocols,and small sample sizes hinder their broad application.Future research should therefore focus on understanding the mechanisms by which brain-computer interfaces can enhance effects when combined with other therapies and on standardizing criteria for clinical trials to enable widespread clinical adoption.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

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 investigate the correlation between cognitive function and medication compliance in patients with type 2 diabetes mellitus(T2DM).Methods Patients with T2DM who were admitted to the Department of Endocrinology,Drum Tower Hospital,Nanjing University School of Medicine from July 2023 to December 2023 were selected.The clinical data and laboratory results of the patients were collected.The medication compliance of the patients was evaluated by Adherence to Refills and Medications Scales(ARMS).And the overall cognitive function and independent cognitive domain tests were performed.According to the diagnostic criteria of mild cognitive impairment(MCI),patients were divided into normal cognitive group and MCI group.Linear regression analysis was used to evaluate the correlation between cognitive function and medication compliance in T2DM patients.Multivariate logistic regression analysis was used to explore the relationship between cognitive dysfunction and poor medication compliance in T2DM patients.Results A total of 216 patients with T2DM were enrolled,including 113 patients with normal cognitive function and 103 patients with MCI.The ARMS score(16.4±4.1 vs.15.1±2.8)and the rate of poor medication compliance(54.4%vs.31.0%)in the MCI group were higher than those in the normal cognitive group(all P<0.05).After adjusting for gender,age,years of education and glycosylated hemoglobin,ARMS scores were significantly negatively correlated with immediate memory,attention and delayed memory scores(all P<0.05).Multivariate logistic regression analysis showed that patients with MCI had a higher risk of poor medication adherence[OR=2.645,95%CI=(1.414,4.946),P<0.001].Conclusions Poor cognitive function,especially memory and concentration,is associated with reduced medication compliance in patients with T2DM.Patients with memory and attention problems should be given appropriate medication advice to improve their compliance in clinical practice.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.