Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

Objective:To establish a deployment management mode for life-supporting equipment,so as to provide reference for healthcare institutions in deployment management for equipment in responding public health emergencies.Methods:The existed problems of healthcare institutions in facing public health emergencies were analyzed.Based on evidence-based practices from domestic and international healthcare institutions in responding public health emergencies,and combined with the experiences of West China Hospital of Sichuan University in preventing and treating epidemic infection of public health emergencies,a scheme of deployment management of life-supporting equipment,and an assessment scheme that precisely matched mode and equipment for supporting respiratory were formulated.The ventilator-related medical consumables was standardly managed.A deployment management mode for life-supporting equipment was constructed to conduct deployment management for the using 293 non-invasive ventilators and 112 high-flow non-invasive respiratory humidification devices in our hospital from December 26,2022,to January 20,2023.Results:During the period of deployment management for 293 non-invasive ventilators,a total of 7492 prescriptions of non-invasive ventilation were completed,and 3183 prescriptions of non-invasive(high-follow)ventilation of using 112 high-flow non-invasive respiratory humidification devices were completed at the same period,which better ensured the requirements of all patients in clinical treatment.The average turnaround time of equipment was shorted from 22.5 min before deployment management mode was implemented to 12.6 min after it was implemented.The accuracy rate of healthcare personnel was 100%in preparing medical consumables.Conclusion:The deployment management mode of life-supporting equipment can increase the use rate of limited life-supporting equipment at the maximum degree,and increase the turnover efficiency of equipment,and decrease turnover time and vacancy rate of equipment,and increase the accuracy rate of preparing medical consumables,and meet the requirement of clinical treatment under the premise of"overall deployment and coordinated management".

Objective To investigate the effects of implant length,diameter,and abutment angle on bone stress distributions around maxillary central incisors,and determine the optimal parameter combination.Methods A three-dimensional(3D)model of the maxilla was reconstructed based on CBCT data.Using an orthogonal table,a total of 16 dental implant 3D models were established,varying in length,diameter,and abutment angle.These models were assembled with the maxillary and rigid-body models.Finite element analysis was performed using the transient dynamics module of ANSYS.Orthogonal experiments and one-way analysis of variance(ANOVA)were conducted on the obtained stress data.Results The implant diameter showed a statistically significant effect on the maximum von Mises stress in cortical bone(P=0.010),while implant length(P=0.229)and abutment angle(P=0.844)did not demonstrate a statistical significance.The optimal parameter combination for cortical bone stress was 5.0 mm implant diameter,12 mm implant length,and 0° abutment angle.In cancellous bone,implant length(P=0.001),diameter(P=0.011),and abutment angle(P=0.013)all had statistically significant effects on the maximum von Mises stress.The optimal parameter combination for cancellous bone stress was 14 mm implant length,5.0 mm implant diameter,and 5° abutment angle.Conclusions Implant diameter significantly affects the stress of both cortical and cancellous bone.Clinically,a larger diameter should be preferred to reduce the stress peak.Implant length is the next most important factor,while abutment angle has the least effect.

Objective To develop a value evaluation index system for health management and logistics positions in pub-lic hospitals,providing a research tool for future performance evaluations and salary reform.Methods Literature review,focus group interviews,and the point-factor method were employed to establish an initial index pool.A public hospital in Guangzhou was selected as a case study.Delphi expert consultation was then utilized to refine and finalize the indicators for the evaluation system.Results For the two rounds of Delphi expert consultation,the response rates were 87.5％and 100.0％,with the expert authority coefficient of 0.812.The Kendall's W coordination coefficients were 0.796 and 0.624 for the first round,and 0.747 and 0.918 for the second,(all＜0.001).The coefficients of variation ranged from 0.157 to 0.265 for the first round and from 0.108 to 0.230 for the second round.Experts provided four suggestions,leading to the removal of one secondary indicator and modifications to the definitions of three others.Finally,the evaluation system consists of 4 primary indicators and 12 secondary indicators.Conclusion This system can provide a research tool and reference for the follow-up performance evaluation,improve the salary reform of public hospitals,and promote the high-quality development of public hospitals.

OBJECTIVE To systematically evaluate medication risk prediction models for hospitalized adult patients and provide references for their development and clinical application. METHODS Databases including PubMed， Embase， Web of Science， CNKI， Wanfang data， VIP and CBM were searched for studies on medication risk prediction models from their inception to May 2024. After screening the literature， extracting data， and evaluating the quality of the literature， descriptive analysis was performed on the results of the included studies. RESULTS A total of 13 studies were included， involving 12 models. Nine studies used Logistic regression algorithm for modeling， and the number of included predictive factors ranged from 3 to 11； the area under the receiver operating characteristic curve ranged from 0.65 to 0.865. The literature quality evaluation results showed that 10 studies had high risk of bias； 10 studies had high applicability risk. A total of 31 predictive factors were extracted， including 15 items of basic patient information， 3 test indicators， and 5 items of medication information， and 8 others. CONCLUSIONS The existing medication risk prediction models for hospitalized adult inpatients are mainly Logistic regression algorithm， with predictive factors mainly focusing on basic indicators such as demographics. The overall prediction performance of the models needs to be improved， and the overall risk of bias is relatively high.

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

Objective To analyze the main epidemiological characteristics of fungal infection in this hospital in the past 7 years,and to provide reference for clinical treatment and prevention and control strategies of fun-gal infection.Methods The fungal data and clinical data of related patients isolated from clinical samples in Peking Union Medical College Hospital from early January 2018 to the end of May 2024 were selected,and the main epidemiological characteristics of fungal infection in this hospital were identified and described through multi-angle statistical analysis.Results A total of 4 479 patients with filamentous fungal infection were en-rolled.The proportion of male patients[57.5％(2 576/4 479)]was higher than that of female patients[42.5％(1 903/4 143)],mainly distributed in internal medicine,Intensive Care Unit(ICU)and emergency de-partment,among which internal medicine accounted for the highest proportion[50.0％(2 241/4 479)].About 90.0％of the specimens were from the lower respiratory tract,in addition to specimens from skin and soft tis-sue,tissue,ear and blood culture.In terms of seasonal distribution,there are more patients in winter.The fun-gi were mainly composed of Aspergillus,Mucor,Cerdosporium,Fusarium and Penicillium,among which As-pergillus was the most abundant,accounting for 74.6％of the total.Aspergillus fumigatus was the most a-bundant Aspergillus,accounting for 42.5％of the total Aspergillus(1 418/3 340).Among the related infec-tions caused by mold,Aspergillus was the most common in the lower respiratory tract,accounting for 76.8％.Among them,Aspergillus fumigatus accounted for the highest proportion(33.6％).98.6％of the molds infected the ear were Aspergillus,of which Aspergillus niger and Aspergillus terreus were the most common.Skin infections are mainly caused by Sporothrix schenckii,Trichophyton rubrum,Microsporum ca-nis.The results of in vitro drug sensitivity test showed that the four common Aspergillus isolated in this hos-pital were sensitive to voriconazole,and amphotericin B had better antifungal activity against Mucorales in vitro.Conclusion Based on the main epidemiological characteristics of fungal infections in this hospital,it is recommended that special attention be paid to the admission of patients in the respiratory department during the peak infection period in autumn and winter.In the treatment of fungal infections in different regions and on different body parts,attention should be paid to the differences in the distribution of bacterial species.

The patient is a 63-year-old man with a history of chronic illness, presenting with intermittent low-grade fever, recurrent dry cough, and shortness of breath upon exertion. Lung CT showed a nodule in the left lung and a large mass in the right lung with liquefactive necrosis and an air-fluid level accompanied by pleural effusion. Laboratory findings showed significantly increasedf immunoglobulin G (IgG), IgG4, and total immunoglobulin E, along with a mild increase in eosinophils, and moderate elevations in erythrocyte sedimentation rate and high-sensitivity C-reactive protein. Malignant tumors, immunological, and hematological diseases were ruled out. Various antibiotic treatments were ineffective and the condition was recurrent. Conventional methods failed to identify the pathogen. Metagenomic next-generation sequencing (mNGS) technology was used to detect Mycobacterium monacense from lung tissue. Targeted antibiotic treatment was effective with no further episodes of low-grade fever and alleviation of dry cough symptoms. This case underscores the clinical significance of mNGS technology for the diagnosis and treatment of unexplained pulmonary infections, providing a useful reference for clinical diagnostic and treatment.

Objective:To explore the application effects of a method combining progressive case study and fishbone diagram in clinical teaching of interns in general surgery, and evaluate its impact on medical students' theoretical knowledge mastery, clinical practice ability development, and systematic thinking cultivation.Methods:Sixty undergraduate clinical medicine students who interned in the Department of General Surgery from July 2022 to December 2023 were selected as the research subjects and randomly divided into a control group ( n=30) and an observation group ( n=30). The control group received traditional case-based teaching through centralized lectures, group discussions, and review/Q&A sessions. The observation group received an integrated teaching approach combining progressive case study and fishbone diagram through the design of progressive cases and fishbone diagrams. Teaching effectiveness was evaluated through theoretical assessment, practical assessment, and teaching satisfaction survey. SPSS 22.0 was used for t-test and χ2 test. Results:The total score of theoretical assessments for the observation group interns was higher than that of the control group [(86.97±4.60) vs. (66.06±5.96), t=-17.79, P<0.001]. The differences in scores of diagnosis and treatment standards [(17.03±1.82) vs. (14.07±2.35)] and differential diagnosis [(12.85±1.42) vs. (8.92±2.37)] were particularly significant. In the practical assessments, the total score of the observation group interns [(90.19±5.04) vs. (68.63±4.30), t=-17.82, P<0.001] and their scores in individual assessments were higher than those of the control group, especially in acute abdomen evaluation [(18.23±1.72) vs. (14.37±2.05)], laparoscopic spatial positioning [(8.83±0.95) vs. (5.92±1.38)], and intraoperative emergency management [(8.95±0.97) vs. (6.05±1.23)]. The satisfaction scores of the observation group interns were higher than those of the control group ( P<0.001), with the greatest improvement in clinical thinking [(4.65±0.61) vs. (3.10±0.71)] and teacher-student interaction quality [(4.72±0.53) vs. (3.11±0.63)]. Conclusions:The teaching method combining progressive case study and fishbone diagram significantly improved interns' theoretical assessment scores, practical operation ability, and clinical decision-making level through the dynamic presentation of case evolution processes and the application of structured analysis tools, and also enhanced the teaching satisfaction.

Objective To investigate the effects of implant length,diameter,and abutment angle on bone stress distributions around maxillary central incisors,and determine the optimal parameter combination.Methods A three-dimensional(3D)model of the maxilla was reconstructed based on CBCT data.Using an orthogonal table,a total of 16 dental implant 3D models were established,varying in length,diameter,and abutment angle.These models were assembled with the maxillary and rigid-body models.Finite element analysis was performed using the transient dynamics module of ANSYS.Orthogonal experiments and one-way analysis of variance(ANOVA)were conducted on the obtained stress data.Results The implant diameter showed a statistically significant effect on the maximum von Mises stress in cortical bone(P=0.010),while implant length(P=0.229)and abutment angle(P=0.844)did not demonstrate a statistical significance.The optimal parameter combination for cortical bone stress was 5.0 mm implant diameter,12 mm implant length,and 0° abutment angle.In cancellous bone,implant length(P=0.001),diameter(P=0.011),and abutment angle(P=0.013)all had statistically significant effects on the maximum von Mises stress.The optimal parameter combination for cancellous bone stress was 14 mm implant length,5.0 mm implant diameter,and 5° abutment angle.Conclusions Implant diameter significantly affects the stress of both cortical and cancellous bone.Clinically,a larger diameter should be preferred to reduce the stress peak.Implant length is the next most important factor,while abutment angle has the least effect.