Objective To investigate the application value of bronchoalveolar lavage fluid(BALF)met-agenomic next-generation sequencing(mNGS)in elderly patients with severe pneumonia.Methods A total of 48 elderly patients with severe pneumonia admitted to the intensive care unit from January to August 2024 were selected and randomly divided into an observation group and a control group,with 24 patients in each group.BALF samples were collected within 24 hours of ICU admission from both groups,with lavage per-formed at the most radiologically evident lesion site.The control group underwent traditional culture at the hospital,while the observation group had one specimen sent for mNGS testing and another specimen subjected to traditional culture at the hospital.Comparison of detection results between mNGS and traditional culture in the observation group,pathogen distribution,infection markers(on days 4 and 7 of ICU admission),and prog-nostic outcomes were compared between the groups.Results The observation group showed higher positive detection rates and higher rates of detecting ≥2 pathogens by mNGS compared to both traditional culture in the same group and the control group(P＜0.05).Excluding Acinetobacter baumannii,Candida albicans,Can-dida glabrata,and Raoultella planticola,the observation group detected higher quantities of fungi,viruses,and rare pathogens than the control group.On days 4 and 7 of ICU admission,the observation group had signifi-cantly lower body temperature,white blood cell count,C reactive protein,and procalcitonin levels compared to the control group(P＜0.05).The observation group also demonstrated shorter ICU stays,reduced mechanical ventilation duration,and total lower hospitalization costs than the control group(P＜0.05).Conclusion BALF mNGS facilitates early identification of mixed and rare pathogens,improves detection rates,broadens microbial coverage,and shortens testing time.

Objective Based on the Ancient and Modern Medical Case Cloud Platform V2.3.7,analyze the medication pattern and mechanism of action of Chinese medicines commonly used in famous medical cases for the treatment of Alzheimer's disease(AD).Methods The core Chinese medicines for AD were screened according to the inclusion and exclusion criteria by searching the famous Chinese medicine cases in the platform,then established the disease-core Chinese medicines-active ingredients-common targets network.The protein-protein interaction network(PPI)was established through the common targets.Gene oncology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed by David platform.Molecular docking and dynamics simulations were employed to evaluate the binding affinity and stability between key targets and active ingredients.Results Data mining was performed on all the famous medical cases from the time of database construction to October 2023,and the results were summarized as follows.The high-frequency regulating Qi medications and tonifying Qi medications were Citri Reticulatae Pericarpium and Aurantii Fructus Immaturus;Panax ginseng,Ziziphi Jujubae Fructus,Codonopsis pilosula,Astragali Radix,Atractylodis Macrocephalae Rhizoma,Dioscoreae Rhizoma,and Glycyrrhizae Radix et Rhizoma.The core herbs contained 778 active ingredients and 377 targets;1986 disease targets;79 common targets were obtained after intersection with AD targets,and 7 core targets were identified through PPI network topology analysis,including TNF,AKT1,TP53,PPARG,etc.GO and KEGG pathway enrichment analyses confirmed that the targets of the active ingredients of the core herbs involved 138 pathways,and the core herbs could regulate chemical carcinogenesis-receptor activation、serotonergic synapse、chemical carcinogenesis-reactive oxygen species pathways to treat AD.Molecular docking and molecular dynamics simulation results showed good binding ability and stability between the key targets and the core components.Conclusion Through data mining to analyze the core herbs for the treatment of AD,the present investigation showing the pharmacological mechanism of 12-O-Nicotinoylisolineolone and Odoratin in the treatment of Alzheimer's disease at the molecular level,lay a certain theoretical foundation of 12-O-Nicotinoylisolineolone and Odoratin in the future.

Objective To investigate the changes and diagnostic value of serum hypoxia inducible factor 1 subunit alpha(HIF-1α)and Toll-like receptor 4(TLR4)levels in patients with chronic obstructive pulmonary disease(COPD)complicated with pulmonary Aspergillosis infection.Methods A total of 240 COPD patients who visited Xi'an Qinhuang Hospital(hereinafter referred to as the hospital)from December 2020 to Decem-ber 2023 were selected as the study subjects in the study,and another 218 volunteers who underwent physical examinations at the hospital were selected as the control group.The COPD patients were separated into an in-fected group(124 cases)and an uninfected group(116 cases)based on whether they had pulmonary Aspergil-losis infection.Enzyme-linked immunosorbent assay was applied to detect the levels of HIF-1α and TLR4 in patients.Fully automated biochemical analyzer was applied to detect lactate dehydrogenase(LDH)and albu-min(ALB)levels.Multivariate Logistic regression was applied to analyze the influencing factors of infection in COPD patients.Pearson correlation was applied to analyze the correlation between HIF-1α and TLR4 levels in the infected group.Receiver operating characteristic(ROC)curve was applied to analyze the diagnostic val-ue of HIF-1α and TLR4 levels for the occurrence of infection in COPD patients.Results Compared with the control group,the COPD group showed an increase in HIF-1α and TLR4 levels(P＜0.05).Compared with the uninfected group,the proportion of dyspnea,antibiotics＞3 types,the duration of antibiotic use ≥ 14 days,mechanical ventilation procedures,the longer glucocorticosteroid(GC)use time,and levels of LDH,HIF-1α,TLR4 in the infected group were higher(P＜0.05),while the level of ALB was lower(P＜0.05).The types of antibiotics＞3 types,the duration of antibiotic use ≥ 14 days,the duration of GC use,and elevat-ed levels of LDH,HIF-1α,and TLR4 were independent risk factors for infection in COPD patients(P＜0.05),while elevated level of ALB was an independent protective factor for infection in COPD patients(P＜0.05).The levels of HIF-1α and TLR4 in the infected group were positively correlated(r=0.453,P＜0.001).The area under the curve(AUC)of HIF-1α and TLR4 in diagnosing infection in COPD patients alone was 0.816 and 0.813,and the AUC of their combined diagnosis was 0.930,which was better than their indi-vidual diagnoses(Zcombination-HIF-1α=4.923,Z combination-TLR4=5.192,P＜0.001,P＜0.001).Conclusion The levels of HIF-1α and TLR4 increase in COPD patients,and further increase after infection with pulmonary Aspergil-lus.They are independent risk factors for infection in patients,and the two are positively correlated.The combined di-agnosis of pulmonary aspergillosis has certain value and provides a theoretical basis for clinical diagnosis.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

Objective Based on the Ancient and Modern Medical Case Cloud Platform V2.3.7,analyze the medication pattern and mechanism of action of Chinese medicines commonly used in famous medical cases for the treatment of Alzheimer's disease(AD).Methods The core Chinese medicines for AD were screened according to the inclusion and exclusion criteria by searching the famous Chinese medicine cases in the platform,then established the disease-core Chinese medicines-active ingredients-common targets network.The protein-protein interaction network(PPI)was established through the common targets.Gene oncology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed by David platform.Molecular docking and dynamics simulations were employed to evaluate the binding affinity and stability between key targets and active ingredients.Results Data mining was performed on all the famous medical cases from the time of database construction to October 2023,and the results were summarized as follows.The high-frequency regulating Qi medications and tonifying Qi medications were Citri Reticulatae Pericarpium and Aurantii Fructus Immaturus;Panax ginseng,Ziziphi Jujubae Fructus,Codonopsis pilosula,Astragali Radix,Atractylodis Macrocephalae Rhizoma,Dioscoreae Rhizoma,and Glycyrrhizae Radix et Rhizoma.The core herbs contained 778 active ingredients and 377 targets;1986 disease targets;79 common targets were obtained after intersection with AD targets,and 7 core targets were identified through PPI network topology analysis,including TNF,AKT1,TP53,PPARG,etc.GO and KEGG pathway enrichment analyses confirmed that the targets of the active ingredients of the core herbs involved 138 pathways,and the core herbs could regulate chemical carcinogenesis-receptor activation、serotonergic synapse、chemical carcinogenesis-reactive oxygen species pathways to treat AD.Molecular docking and molecular dynamics simulation results showed good binding ability and stability between the key targets and the core components.Conclusion Through data mining to analyze the core herbs for the treatment of AD,the present investigation showing the pharmacological mechanism of 12-O-Nicotinoylisolineolone and Odoratin in the treatment of Alzheimer's disease at the molecular level,lay a certain theoretical foundation of 12-O-Nicotinoylisolineolone and Odoratin in the future.

Objective:To evaluate the efficacy and safety of oliceridine for treatment of moderate to severe pain after surgery with general anesthesia in patients.Methods:The patients with moderate to severe pain (numeric pain rating scale ≥4) after abdominal surgery with general anesthesia from 14 hospitals between July 6, 2021 and November 9, 2021 were included in this study. The patients were assigned to either experiment group or control group using a random number table method. Experiment group received oliceridine, while control group received morphine, and both groups were treated with a loading dose plus patient-controlled analgesia and supplemental doses for 24 h. The primary efficacy endpoint was the drug response rate within 24 h after giving the loading dose. Secondary efficacy endpoints included early (within 1 h after giving the loading dose) drug response rates and use of rescue medication. Safety endpoints encompassed the development of respiratory depression and other adverse reactions during treatment.Results:After randomization, both the full analysis set and safety analysis set comprised 180 cases, with 92 in experiment group and 88 in control group. The per-protocol set included 170 cases, with 86 in experiment group and 84 in control group. There were no statistically significant differences between the two groups in 24-h drug response rates, rescue analgesia rates, respiratory depression, and incidence of other adverse reactions ( P>0.05). The analysis of full analysis set showed that the experiment group had a higher drug response rate at 5-30 min after giving the loading dose compared to control group ( P<0.05). The per-protocol set analysis indicated that experiment group had a higher drug response rate at 5-15 min after giving the loading dose than control group ( P<0.05). Conclusions:When used for treatment of moderate to severe pain after surgery with general anesthesia in patients, oliceridine provides comparable analgesic efficacy to morphine, with a faster onset.

Objective To evaluate the postoperative survival quality in the patients with heart valve re-placement (HVR) in Three Gorges Reservoir area,and to analyze its main influencing factors.Methods A to-tal of 343 valvular heart disease patients from Three Gorges Reservoir area who received HVR treatment for the first time in this hospital from January 2019 to December 2021 were selected by the convenience sampling method.The general data questionnaire and the MOS 36-item short form health survey (SF-36) were adopted to conduct the survey.The main influencing factors affecting the survival quality were analyzed.Results Af-ter HVR,the physical components summary (PCS) score of SF-36 was 238.0±73.6,and the mental compo-nents summary (MCS) score was 254.8±83.6,and the scores in each dimension were significantly lower than those of the Chinese norm (P<0.05).The multiple stepwise linear regression analysis results showed that the age,gender,place of residence,education level,postoperative time,complications and readmission were the influencing factors of PCS and MCS scores (P<0.05).Conclusion The survival quality of the patients af-ter HVR is different from that of healthy population.The targeted intervention could be carried out according to the influencing factors of the survival quality of the patients,so as to improve their survival quality.

Objective:To investigate the in vitro inhibitory activity of a novel class Ⅰ and Ⅱb selective histone deacetylase (HDAC) inhibitor, purinostat mesylate (PM) , in diffuse large B-cell lymphoma and its mechanism.Methods:The 3- (4,5-dimethylthiazol-2-yl) -2,5-diphenyl tetrazolium bromide method was used to detect the effect of PM on cell proliferation. The effects of PM on cell cycle and apoptosis were detected by flow cytometry. The acetylation levels of HDAC substrate, cell cycle protein, apoptosis-related protein, and oncogene protein expression were detected by Western blot.Results:PM significantly inhibited the proliferation of lymphoma SUDHL-4 and SUDHL-6 cells and increased the acetylation levels of HDAC substrates H3, H4, and α-tubulin. In cell cycle experiments, PM induced G 0/G 1 phase arrest in SUDHL-4 and SUDHL-6 cells. Western blot experiment showed that PM could significantly downregulate the expression of cyclin-dependent kinases Cdk2, Cdk4, Cdk6, cyclin D1, and cyclin E and upregulate the expression of CDK inhibitor protein p21. In the apoptosis experiment, PM could induce the apoptosis of SUDHL-4 and SUDHL-6 cells. Western blot experiment demonstrated that PM promoted endogenous apoptosis by activating caspase-3 kinase and affecting antiapoptotic protein Bcl-2. In addition, PM could downregulate the expression of oncogene marker proteins MYC, IKZF1, and IKZF3. Conclusion:PM has an efficient biological activity in vitro for diffuse large B-cell lymphoma, including double-hit lymphoma, and provides valuable experimental evidence for PM in clinical treatment.

Objective To investigate the prediction of axillary lymph node metastasis in patients with early breast cancer by sentinel lymph node biopsy (SLNB) combined with preoperative ultrasound.Methods From Jun 2014 to Oct 2018,340 patients with early breast cancer were enrolled in the 5th Department of General Surgery of Second Hospital of Lanzhou University.113 cases were grouped into ultrasound examing,75 patients in the SLNB,and 152 patients in the SLNB combined with preoperative ultrasound.Using the results of axillary lymph node dissection as gold standard,the 3 groups were compared.Results The sensitivity of SLNB,ultrasound and SLNB combined with ultrasound for suspicious axillary lymph node biopsy were 90.1％,85.7％,and 96.4％,respectively.The specificity was 84.0％,76.3％,and 100％,and the accuracy was 91.6％,83.0％,and 97.4％,respectively.The false negative rates were 8.6％,14.3％,and 3.6％,respectively.Conclusion Preoperative ultrasound diagnosis of axillary lymph node status combined with sentinel lymph node biopsy can significantly improve the diagnosis rate of axillary lymph node metastasis in early breast cancer.