Identifying drug-drug interactions(DDIs)is essential to prevent adverse effects from polypharmacy.Although deep learning has advanced DDI identification,the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits.Here,we developed a Multi-Dimensional Feature Fusion model named MDFF,which integrates one-dimensional simplified molec-ular input line entry system sequence features,two-dimensional molecular graph features,and three-dimensional geometric features to enhance drug representations for predicting DDIs.MDFF was trained and validated on two DDI datasets,evaluated across three distinct scenarios,and compared with advanced DDI prediction models using accuracy,precision,recall,area under the curve,and F1 score metrics.MDFF achieved state-of-the-art performance across all metrics.Ablation experiments showed that integrating multi-dimensional drug features yielded the best results.More importantly,we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs.Among 12 real-world adverse drug reaction reports,the predictions of 9 reports were supported by relevant evidence.Additionally,MDFF demon-strated the ability to explain adverse DDI mechanisms,providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

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 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.

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.

Objective:To investigate the current status and correlation between perceived stress and coping strategies among nurses in the Cardiac Intensive Care Unit (CICU) .Methods:A purposive sampling method was used to select 348 CICU nurses from ten tertiary hospitals in Beijing between March and October 2023. Data were collected using a general information questionnaire, the Chinese version of the Perceived Stress Scale (PSS), and the Simplified Coping Style Questionnaire (SCSQ) .Results:The score of the Chinese PSS among 348 nurses was (28.86±5.06). In the SCSQ, the score for positive coping was (22.71±7.57), while the score for negative coping was (8.57±4.82). Correlation analysis indicated that perceived stress was negatively correlated with positive coping strategies ( P<0.01) and positively correlated with negative coping strategies ( P<0.01). Multiple linear regression analysis showed that years of experience in the CICU, employment status, family support for work, and coping strategies were influencing factors of perceived stress ( P<0.05), explaining 50.2% of the total variance. Conclusions:CICU nurses generally experience high levels of perceived stress, and those who tend to adopt negative coping strategies report even higher stress levels. Nursing administrators should develop targeted interventions based on nurse characteristics to promote effective coping strategies and alleviate perceived stress.

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

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 current status and correlation between perceived stress and coping strategies among nurses in the Cardiac Intensive Care Unit (CICU) .Methods:A purposive sampling method was used to select 348 CICU nurses from ten tertiary hospitals in Beijing between March and October 2023. Data were collected using a general information questionnaire, the Chinese version of the Perceived Stress Scale (PSS), and the Simplified Coping Style Questionnaire (SCSQ) .Results:The score of the Chinese PSS among 348 nurses was (28.86±5.06). In the SCSQ, the score for positive coping was (22.71±7.57), while the score for negative coping was (8.57±4.82). Correlation analysis indicated that perceived stress was negatively correlated with positive coping strategies ( P<0.01) and positively correlated with negative coping strategies ( P<0.01). Multiple linear regression analysis showed that years of experience in the CICU, employment status, family support for work, and coping strategies were influencing factors of perceived stress ( P<0.05), explaining 50.2% of the total variance. Conclusions:CICU nurses generally experience high levels of perceived stress, and those who tend to adopt negative coping strategies report even higher stress levels. Nursing administrators should develop targeted interventions based on nurse characteristics to promote effective coping strategies and alleviate perceived stress.

Objective:To evaluate the effect of music therapy on improving anxiety and depression in intensive care unit (ICU) patients, and to provide a reference for supporting music therapy as a new complementary alternative therapy.Methods:Randomized controlled trials on the effects of music therapy on anxiety and depression in ICU patients were searched in PubMed, Web of Science, Embase, Medline, PsycInfo, CNKI, Wanfang Med Online, VIP database, and China Biology Medicine disc. The search period was from the establishment of the database to November 30, 2023. After rigorous quality evaluation, Meta-analysis was performed using Revman5.4 software.Results:A total of 11 literatures were included, including 6 Chinese literatures and 5 English literatures, with 910 ICU patients.The results of Meta-analysis showed that after music therapy intervention, the scores of Self-rating Anxiety Scale, Self-rating Depression Scale and State-Trait Anxiety Inventory in the experimental group were higher than the control group, the differences were statistically significant ( Z = 14.75, 3.73, 2.45, all P<0.05). Conclusions:Music therapy can relieve anxiety and depression in ICU patients, and it is worth exploring and applying in clinical practice.

AIM:This study aimed to investigate the effects of sinomenine hydrochloride(SIN)on the ultra-structure of renal tissue and the expression of interferon gene-stimulating factor in db/db mice.METHODS:Sixteen 12-week-old male db/db mice were randomly divided into two groups:a model group and a sinomenine hydrochloride(SIN)group,each consisting of 8 mice.An additional 8 wild-type(WT)mice served as the normal control group.The sinome-nine hydrochloride group was administered the treatment for 8 weeks,followed by a 20-week observation period,while the normal and model groups received an equal volume of saline via gavage.Weekly measurements were taken for body weight and fasting blood glucose.Serum creatinine(SCr)and blood urea nitrogen(BUN)levels were assessed,and 24-hour uri-nary microalbumin(ALB)levels,as well as serum inflammatory cytokines interleukin-1β(IL-1β),IL-6 and tumor necro-sis factor-α(TNF-α),were determined using ELISA.Pathological changes in renal tissue were evaluated through hema-toxylin-eosin(HE)staining,while ultrastructural alterations were examined using transmission electron microscopy.Im-munohistochemistry and Western blotting were employed to assess STING protein expression in renal tissue,and STING mRNA expression was quantified via RT-qPCR.RESULTS:Compared to the normal group,the model group exhibited significant increases in BUN,ALB,and SCr levels(P<0.01),alongside elevated inflammatory markers IL-1β,IL-6,and TNF-α(P<0.01).Notable pathological changes included leukocyte wall thickening in capillaries,inflammatory cell infiltration,increased mesangial matrix,disorganized and linear alignment of podocytes,and thickening of the basement membrane.Moreover,STING protein and mRNA expression levels were significantly elevated(P<0.01).In contrast,the sinomenine hydrochloride group demonstrated significantly reduced levels of renal function markers(BUN,ALB and SCr)compared to the model group(P<0.01),as well as decreased concentrations of inflammatory factors IL-1β,IL-6,and TNF-α(P<0.01).Improvements in renal histopathology included decreased leukocyte wall thickening,reduced inflam-matory cell presence,diminished mesangial matrix,and a significant reduction in foot process fusion,alongside thinner basement membranes.Both STING protein and mRNA expression levels were also significantly lower(P<0.01).CON-CLUSION:Sinomenine hydrochloride effectively mitigates renal tissue injury,improves ultrastructural alterations,and inhibits inflammatory responses in db/db mice.Its mechanism of action appears closely linked to the downregulation of STING protein and mRNA expression.