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 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 investigate the distribution and clinical significance of amniotic fluid karyotype results in 2 725 cases from southern Anhui.Methods:The karyotypes of amniotic fluid from 2 725 cases of second-trimester pregnant women treated in our hospital from Jan 2017 to Dec 2023 were collected.The annual abnormal detection rate and overall abnormal rate were analyzed.Meanwhile,the abnormal detection rate was compared among 8 groups of different clinical indication including adverse pregnancy history,advanced maternal age(≥35 years),high risk of Down syndrome screening,high risk of non-invasive prenatal testing(NIPT),nuchal translucency thickness(NT)≥2.5 mm,abnormal ultrasound findings,two or more concurrent positive indications,and others.The abnormal detection rate was calculated within high risk of Down syndrome screening and NIPT.Results:Significant differences in annual abnormal rates were observed from 2017 to 2023(χ2=19.705,P=0.003).Among 2 725 cases,233(8.55%)showed abnormal karyotypes.Among them,abnormal autosomal number was the most prevalent(4.41%,120/2 725),with inversion being the most common chromosome structural abnormality.Significant differences in abnormal rates were noted among the eight clinical indication groups(χ2=438.516,P＜0.01).No statistical difference was found in abnormal detection rates among the three high-risk subgroups of Down syndrome screening(χ2=0.323,P=0.851),while significant differences were observed within the high-risk subgroups of NIPT(χ2=100.901,P＜0.01).Polymorphisms were detected in 65 cases(2.38%).Conclusions:Chromosomal numerical and structural abnormalities have been detected in southern Anhui over the past seven years,with variations across subgroups.Karyotype analysis effectively detects second-trimester fetal chromosomal abnormalities,aiding in the prevention of birth defects and worthing clinical application.

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 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".

Chronic pain following spinal cord injury refers to persistent or recurrent pain that occurs after spinal cord injury, which can be manifested as symptoms such as burning, stinging, and electric shock, seriously impairing the patients′ quality of life. Current conventional treatments for chronic pain after spinal cord injury include surgery, medication, and physical therapy. However, these treatments have limitations: surgery cannot fully repair nerve damage, medication has limited efficacy, and physical therapy often requires prolonged treatment with suboptimal outcomes. Spinal cord stimulation (SCS), as a neuromodulation technique, can relieve chronic pain in patients by stimulating spinal nerves by emitting weak current from electrodes placed around the spinal cord. SCS has been used to treat chronic pain after spinal cord injury, especially for refractory pain of the patients who fail to respond to conventional treatments, but its efficacy and exact mechanism remain to be further verified. To this end, this article reviewed the research progress of the efficacy and mechanism of SCS in the treatment of chronic pain after spinal cord injury so as to provide reference for its clinical treatment.

OBJECTIVE To investigate the potential mechanism of berberine improving diabetes mellitus type 2 （T2DM） combined with metabolic-associated fatty liver disease （MAFLD） by regulating ceramide. METHODS Thirty-two db/db mice with blood glucose levels＞11.1 mmol/L （T2DM model） were divided into four groups： model group， berberine low- and high-dose groups [100， 200 mg/（kg·d）] and metformin group [300 mg/（kg·d）]， with 8 mice in each group. Additionally， 8 wt/wt mice were selected as the normal control group. Mice in each group were administered the corresponding drug solution or water by gavage once daily for a continuous period of 6 weeks. During the experiment， the body weight of the mice was monitored， and the differences in final body weight were analyzed. After the last administration， the body shape of the mice in each group was observed， and their fasting blood glucose （FBG） and the lipid indicators [total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）] were measured. Fasting serum insulin （FINS） levels were also measured， and the insulin resistance index HOMA-IR） and insulin sensitivity index （ISI） were calculated. Liver weight， liver index and serum liver function indicators [alanine transaminase （ALT）， aspartate transaminase（AST）] were assessed， and hepatic histopathological changes were observed. Additionally， the expression of fatty acid synthesis-related proteins [sterol regulatory element-binding protein 1 （SREBP1）， fatty acid synthase （FASN）， acetyl-CoA carboxylase 1 （ACC1）] in liver tissue was examined. Serum samples from the normal control group， model group， and berberine high-dose group were collected for non-targeted lipidomics analysis and validation. RESULTS Compared with the model group， the pathological changes， including disordered liver tissue cell arrangement and lipid vacuoles， were significantly improved in the berberine low- and high-dose groups. The significant decreases or down-regulations were observed in body weight in the last week， as well as FBG， TC， TG， and LDL-C levels， HOMA-IR （except for the berberine low-dose group）， liver weight， liver index， AST and ALT levels， and protein expressions of SREBP1， FASN and ACC1. Additionally， HDL-C levels， FINS （except for the berberine high-dose group）， and ISI （except for the berberine low-dose group） were significantly increased （P＜0.05）. A total of 21 potential differential metabolites， including multiple types of ceramides， were identified； these metabolites were primarily enriched in sphingolipid metabolism and glycerophospholipid metabolism pathways. Verification experiments confirmed that high-dose berberine significantly reduced the serum content of ceramide in model mice （P＜0.05）. CONCLUSIONS Berberine reduces insulin resistance， improves liver damage and lipid accumulation in the T2DM combined with MAFLD mice， and these effects may be related to the reduction of ceramide content.

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.

Tumor cell-intrinsic programmed death-ligand 1 (PD-L1) signals mediate tumor initiation, progression and metastasis, but their effects in ameloblastoma (AM) have not been reported. In this comprehensive study, we observed marked upregulation of PD-L1 in AM tissues and revealed the robust correlation between elevated PD-L1 expression and increased tumor growth and recurrence rates. Notably, we found that PD-L1 overexpression markedly increased self-renewal capacity and promoted tumorigenic processes and invasion in hTERT⁺-AM cells, whereas genetic ablation of PD-L1 exerted opposing inhibitory effects. By performing high-resolution single-cell profiling and thorough immunohistochemical analyses in AM patients, we delineated the intricate cellular landscape and elucidated the mechanisms underlying the aggressive phenotype and unfavorable prognosis of these tumors. Our findings revealed that hTERT⁺-AM cells with upregulated PD-L1 expression exhibit increased proliferative potential and stem-like attributes and undergo partial epithelial‒mesenchymal transition. This phenotypic shift is induced by the activation of the PI3K-AKT-mTOR signaling axis; thus, this study revealed a crucial regulatory mechanism that fuels tumor growth and recurrence. Importantly, targeted inhibition of the PD-L1-PI3K-AKT-mTOR signaling axis significantly suppressed the growth of AM patient-derived tumor organoids, highlighting the potential of PD-L1 blockade as a promising therapeutic approach for AM.
Ameloblastoma/metabolism* ; Humans ; B7-H1 Antigen/metabolism* ; Neoplasm Recurrence, Local/pathology* ; Signal Transduction ; Cell Proliferation ; Up-Regulation ; TOR Serine-Threonine Kinases/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Telomerase/metabolism* ; Jaw Neoplasms/metabolism* ; Epithelial-Mesenchymal Transition ; Animals ; Cell Line, Tumor ; Female ; Male

Definitive treatment of lung cancer with radiotherapy is challenging, as respiratory motion and anatomical changes can increase the risk of severe off-target effects during radiotherapy. Online adaptive radiotherapy (ART) is an evolving approach that enables timely modification of a treatment plan during the interfraction of radiotherapy, in response to physiologic or anatomic variations, aiming to improve the dose distribution for precise targeting and delivery in lung cancer patients. The effectiveness of online ART depends on the seamless integration of multiple components: sufficient quality of linear accelerator-integrated imaging guidance, deformable image registration, automatic recontouring, and efficient quality assurance and workflow. This review summarizes the present status of online ART for lung cancer, including key technologies, as well as the challenges and areas of active research in this field.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods*