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 analyze the influencing factors of delirium after endovascular aortic repair, and to provide a basis for clinical nursing and prevention of this condition. Methods Patients who underwent endovascular aortic repair at Fuwai Hospital, Chinese Academy of Medical Sciences from 2018 to 2019 were selected. The Chinese version of the Nursing Delirium Screening Scale (Nu-DESC) was used to assess whether postoperative delirium occurred. Patients with a Nu-DESC score≥ 3 were assigned to the delirium group. Non-delirium patients who had the same surgeon and adjacent surgical order were selected at a 1 : 4 ratio to form the non-delirium group. Univariate analysis was performed on the clinical data of the two groups. Factors with P<0.1 in the univariate analysis and those considered clinically significant were included in a multivariate logistic regression analysis to identify the influencing factors of postoperative delirium. Stratified analysis was conducted based on thoracic endovascular aortic repair (TEVAR) and endovascular abdominal aortic repair (EVAR). Results A total of 213 patients were included, comprising 46 in the delirium group and 167 in the non-delirium group. The overall mean age was (60.3±12.0) years, and 183 (85.9%) were male. Univariate analysis showed that emergency admission, preoperative neutrophil percentage, aortic dissection, surgical duration, intubation time, and ICU stay may be associated with postoperative delirium. Multivariate analysis revealed that longer operative and intubation times were associated with a higher likelihood of delirium. In the stratified analysis, the results for the TEVAR group were consistent with the overall findings, whereas no significant differences were observed in the EVAR group. Conclusion Longer surgical and intubation times are associated with an increased risk of delirium in patients undergoing TEVAR. No significant factors influencing delirium are identified in patients undergoing EVAR.

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 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.

Aim To investigate the relationship between triglyceride-glucose(TyG)index and the risk of hy-pertension in middle-aged and older adults in China,and to provide scientific basis for the prevention and treatment of hypertension.Methods Data were obtained from the China health and retirement longitudinal study(CHARLS)in 2011.A multi-stage stratified sampling method was used to select participants.Restricted cubic spline regression model was used to analyze the dose-response relationship between TyG index and the risk of hypertension.Multivariate unconditional Logistic regression model was used to evaluate the association between TyG index and the risk of hyperten-sion.Results A total of 9 987 subjects were included in the analysis,with an average age of(59.16±9.43)years,including 4 707 males(47.13％).The restricted cubic spline regression model showed that the risk of hypertension in-creased with the elevation of TyG index,and there was a linear association(overall association test P＜0.000 1,non-linear association test P=0.201 9).The results of multivariate Logistic regression model showed that compared with Q1(TyG index＜8.23),the OR(95％CI)of hypertension with Q2(8.23≤ TyG index＜8.59),Q3(8.59 ≤ TyG index＜9.04)and Q4(TyG index≥9.04),were 1.09(0.95～1.26),1.53(1.33～1.76)and 1.77(1.52～2.06),respectively.Conclusions With the increase of TyG index,the risk of hypertension gradually increased.TyG index may be an inde-pendent risk factor of hypertension.

【Objective】 To evaluate the clinical implications of ARL5B in esophageal cancer and its underlying mechanisms by using bioinformatics methods. 【Methods】 ARL5B transcriptomic expression data were obtained from The Cancer Genome Atlas (TCGA), R software was employed to detect the differential expression mRNAs, and related clinical information was collected for survival analysis. To validate the bioinformatics results, Real-time quantitative PCR (qRT-PCR) and Western blotting were carried out for clinical specimens of esophageal cancer tumor tissues and adjacent tissues. Immunohistochemistry was used to evaluate the expression of ARL5B and its associated clinicopathologic features. The underlying mechanisms of ARL5B in esophageal cancer were preliminarily explored by bioinformatics and qRT-PCR. 【Results】 Bioinformatics method showed that the expression of ARL5B in human esophageal cancer tissues was significantly higher than in adjacent tissues and correlated with poor prognosis. Clinical specimens were detected, the expressions of ARL5B mRNA and protein were the highest in metastases lymph node, followed by esophageal cancer tissues and adjacent tissues, which corresponded with bioinformatics results. The expression of ARL5B was strongly correlated with lymph node metastases and advanced clinical stage. Kaplan-Meier analysis results denoted high ARL5B level, indicating poor prognosis. Enrichment analysis showed that ARL5B was associated the biological processes such as vacuolar transport, late endosome to lysosome transport, and organelle localization. Protein-protein interaction analysis (PPI) suggested that ARL5B might interact with VPS16, KIF1A and TOM1, whose expressions were verified by qRT-PCR and positively correlated with ARL5B expression. 【Conclusion】 ARL5B was highly expressed in esophageal cancer and associated with lymph node metastases, advanced clinical stage, and poor prognosis. ARL5B may be involved in the progression of esophageal cancer with several molecular mechanisms.

Objective     To explore the causes of conversion to thoracotomy in patients with minimally invasive esophagectomy (MIE) in a surgical team, and to obtain a deeper understanding of the timing of conversion in MIE. Methods     The clinical data of patients who underwent MIE between September 9, 2011 and February 12, 2022 by a single surgical team in the Department of Thoracic Surgery of the Fourth Hospital of Hebei Medical University were retrospectively analyzed. The main influencing factors and perioperative mortality of patients who converted to thoracotomy in this group were analyzed. Results     In the cohort of 791 consecutive patients with MIE, there were 520 males and 271 females, including 29 patients of multiple esophageal cancer, 156 patients of upper thoracic cancer, 524 patients of middle thoracic cancer, and 82 patients of lower thoracic cancer. And 46 patients were converted to thoracotomy for different causes. The main causes for thoracotomy were advanced stage tumor (26 patients), anesthesia-related factors (5 patients), extensive thoracic adhesions (6 patients), and accidental injury of important structures (8 patients). There was a statistical difference in the distribution of tumor locations between patients who converted to thoracotomy and the MIE patients (P<0.05). The proportion of multiple and upper thoracic cancer in patients who converted to thoracotomy was higher than that in the MIE patients, while the proportion of lower thoracic cancer was lower than that in the MIE patients. The perioperative mortality of the thoracotomy patients was not significantly different from that of the MIE patients (P=1.000). Conclusion     In MIE, advanced-stage tumor, anesthesia-related factors,extensive thoracic adhesions, and accidental injury of important structures are the main causes of conversion to thoracotomy. The rate varies at different tumor locations. Intraoperative conversion to thoracotomy does not affect the perioperative mortality of MIE.