Objective To compare and analyze the changes in the use of lung cancer therapeutic drugs before and after the national initiation of health insurance negotiations, and to study the impact of a series of policies on the use of lung cancer drugs. Methods Descriptive statistical methods were used analyze the basic situation of lung cancer patients and the changes of corresponding therapeutic drugs in Peking University People's Hospital from 2014 to 2020, as well as to the hospital procurement data of lung cancer therapeutic drugs in the database of the Chinese Medicine Economic Information. Results From 2014 to 2020, the total cost per capita of lung cancer patients showed a trend of first increasing and then decreasing, increasing before the national drug negotiation and gradually decreasing after the negotiation. After 2017, the use of small ATC categories such as VEGF/VEGFR inhibitors and EGFR tyrosine kinase inhibitors increased significantly, along with a rise in the number of monoclonal antibody varieties. The DDDs of osimertinib, anlotinib, alectinib, crizotinib and other drugs in the medical insurance list increased significantly, and the average daily cost decreased significantly. Conclusion The number of hospitalization days for lung cancer patients had continued to shorten in recent years, and the structure of drug use had changed significantly. The adjustment of the medical insurance catalog had led to more innovative lung cancer drugs showing the trend of volume up and price down.

Objective: To develop a convenient, direct, and highly sensitive method for screening trace chemical additives in complex Chinese patent medicines, thereby addressing core technological bottlenecks in pharmaceutical analysis and quality control. Methods: A brush ionization probe device was independently designed and constructed, and an efficient detection method was established through systematic optimization of key parameters. Twenty-three Chinese patent medicine samples, representing 6 dosage forms (capsules, tablets, pills, granules, powders, and liquid preparations), were analyzed using 10 common chemical additives as target analytes. Results: All samples were successfully analyzed without complex pretreatment, and 5 chemical additives were detected in 7 Chinese patent medicines. The brush ionization probe device exhibited cost-effectiveness (~0.2 USD per probe), operational simplicity, rapid analysis (~10s per sample), high efficiency, and minimal reagent consumption (~10 μL per sample). Conclusion: This advancement is expected to provide an innovative scientific tool for improving the generality and convenience of on-site quality control, while promoting technological progress in disciplines such as pharmacology and traditional Chinese medicine.

ObjectiveTo investigate the metabolic alterations of serum short chain fatty acids （SCFAs） in pediatric patients with atopic dermatitis （AD） and their correlation with different clinical phenotypes using targeted metabolomics. MethodsThis study enrolled 87 AD patients and 67 healthy controls （HC）. Serum levels of eight SCFAs were quantified by ultra-high-performance liquid chromatography-mass spectrometry. The associations between SCFAs and AD were assessed using various statistical methods. ResultsCompared with the HC group， levels of acetic acid （AA）， propionic acid （PA）， and caproic acid （CA） （P=0.002，P=0.002，P=0.043） decreased in the AD group. Logistic regression analysis identified AA （OR=0.449， 95% CI： 0.289–0.698） and PA （OR = 0.487， 95% CI： 0.324–0.732） as protective factors against AD. The combination of AA and PA yielded an area under the curve （AUC） greater than 0.7， indicating good diagnostic efficacy. Age-stratified analysis revealed that AA reduction was predominant in childhood， whereas PA reduction was predominant in adolescence. Pathway enrichment analysis showed significant enrichment of fatty acid biosynthesis （FDR=0.341， P=0.003） and vitamin K metabolism （FDR=1， P=0.039） pathways. Furthermore， subgroup analyses based on disease severity， personal/family history of atopy， and sex revealed no significant differences in SCFAs levels among the groups. ConclusionDifferential serum SCFAs and their enriched metabolic pathways may be implicated in the pathogenesis of AD.

Objective: To explore whether digital facial and tongue diagnostic technologies can support the assessment of coronary heart disease (CHD) patients for coronary artery stenosis severity, and examine potential associations between digital tongue diagnosis features and myocardial biomarkers. Methods: The TFDA-1 face and tongue diagnosis instrument and the TDAS analysis system were used to perform intelligent visual examination and analysis of the facial and tongue in CHD patients who attended the Department of Cardiology at Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine between October 2, 2023 and July 31, 2024. Variables were screened using principal component analysis (PCA) and multicollinearity analysis to construct four machine learning models, including random forest, LightGBM, decision tree, and naive Bayes, for the early prediction of coronary artery stenosis severity. Model performance metrics, including sensitivity, specificity, precision, F1 score, accuracy, and the area under the receiver operating characteristic (ROC) curve (AUC), were evaluated. Visual analyses were performed using the SHapley Additive exPlanations (SHAP) interpreter and decision curve analysis. For patients after percutaneous coronary intervention (PCI), a conceptual model linking cardiac biomarkers and tongue diagnosis was constructed using the partial least squares structural equation modeling (PLS-SEM), and its validity was assessed. Results: A total of 459 CHD patients were enrolled and assigned to a PCI group and a non-PCI group (which comprised two subgroups: mild stenosis or less group, moderate stenosis or greater group). For sublingual vein (SV) features, the PCI group had lower SV-a and SV-b than the other groups (P < 0.01 and P < 0.05, respectively). For tongue surface features, the PCI group had significantly higher tongue body (TB)-L, TB-a, and TB-b (P < 0.05, P < 0.01, and P < 0.001, respectively), as well as higher tongue coating (TC)-a and TC-b (P < 0.01 and P < 0.001, respectively). Age, SV-a, SV-b, creatine kinase-myocardial band (CK-MB), CK, TC-a, lip-L, and lip-b were incorporated in the machine learning models. The random forest model performed best, with an AUC of 0.924, an F1 score of 0.839, precision of 0.807, accuracy of 0.864, sensitivity of 0.873, and specificity of 0.839. Decision curve analysis indicated that both LightGBM and random forest had clinical utility. PLS-SEM confirmed the pathway relationships: myocardial biomarkers → TB and myocardial biomarkers → TC (coefficient = – 0.238, t = 2.239, P = 0.025, and coefficient = – 0.270, t = 2.522, P = 0.012, respectively). Conclusion This study developed a noninvasive early warning model for coronary artery stenosis in patients with CHD. It applied PLS-SEM to investigate the association between post-PCI cardiac biomarkers and tongue diagnosis, and validated the proposed association chain. These findings suggest that intelligent traditional Chinese medicine (TCM) visual diagnosis integrated with modern digital technology may support CHD risk assessment and comprehensive health management.

Background/Aims: The pathophysiology of refractory gastroesophageal reflux disease (RGERD), which differs from proton pump inhibitor dependent gastroesophageal reflux disease (DGERD), remains incompletely elucidated. This study aims to compare esophageal motility patterns, transdiaphragmatic pressure gradients (TPG), and reflux profiles between RGERD and DGERD patients, and to delineate dynamic pressure gradient-esophagogastric junction (EGJ) interactions in these patients. Methods: In this retrospective study, 274 patients who underwent 24-hour impedance-pH monitoring and high-resolution manometry, along with an assessment of proton pump inhibitor responsiveness, were classified as RGERD (32.5%), DGERD (54.4%), or non-GERD (13.1%). Clinical characteristics, TPG, esophageal motility, and reflux metrics were compared between RGERD and DGERD patients. Subgroup analysis excluding hiatal hernia (HH) was conducted to investigate the pathophysiology of RGERD. Results: The RGERD group exhibited a significantly higher proportion of chest pain compared to the DGERD group. Regarding reflux profiles, RGERD patients without HH (RGERDHH- group) experienced increased weakly acidic reflux (P < 0.001) and prolonged bolus exposure (P = 0.006) compared to their counterparts (DGERDHH- group). Mechanistically, the RGERDHH- group showed reduced lower esophageal sphincter basal pressure (P = 0.010) and EGJ contractile integral (P = 0.005). Notably, following a wet-swallow, the RGERDHH- group experienced the significant elevation in gastric pressure and TPG. Correlation analyses revealed weakly acidic reflux and bolus exposure were positively correlated with gastric pressure variation, and inversely correlated with lower esophageal sphincter basal pressure. Conclusions Transient gastric pressure elevation and compromised EGJ barrier function drive weakly acidic reflux and esophageal bolus exposure. This pressure gradient-barrier mismatch underpins the refractoriness of RGERD.

Objective:To retrieve, evaluate and integrate the evidence related to postoperative exercise rehabilitation for hip fracture in elderly frail patients, and provide reference for clinical rehabilitation nursing.Methods:Evidence on postoperative exercise rehabilitation of hip fractures in elderly frail patients was systemically retrieved in the guideline websites, professional association websites and databases, such as BMJ Best Practice, UpToDate, PubMed, Web of Science, CINAHL, Cochrane Library, Embase, Chinese Biomedical Database, China National Knowledge Infrastructure, Wanfang and VIP, including Best practices, guidelines, clinical decisions, evidence summaries, systematic reviews, and expert consensus. The retrieval time was from the establishment of the database to March 31, 2024.Results:A total of 33 articles were involved, including 12 guidelines, 2 clinical decisions, 7 systematic reviews, 7 expert consensuses, 5 evidence summaries. Forty pieces of evidence were summarized in 7 aspects: the role of exercise, exercise assessment, exercise planning, exercise content, exercise intensity, exercise adherence, exercise nursing, exercise guidance.Conclusions:Healthcare professionals should combine patients' tolerance, rehabilitation goals, and specific clinical situations to target and guide patients in exercise rehabilitation to promote the recovery of postoperative limb function, mitigate frailty, and improve the quality of life.

Objective:To investigate the predictive value of quantitative parameters of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) in lymph node metastasis of breast cancer.Methods:A retrospective study was conducted on 98 breast cancer patients admitted to our hospital from Jan. 2021 to Dec. 2022. All patients underwent DCE-MRI before surgery and were followed up for 2 years. Finally, 16 cases of lymph node metastasis were confirmed and included in the metastasis group, and the remaining 82 cases without metastasis were included in the non- metastasis group. The clinical data, preoperative routine MRI features and DCE-MRI quantitative parameters of the two groups were analyzed and compared, and the predictive value of DCE-MRI quantitative parameters was analyzed by receiver operating characteristic curve (ROC) .Results:There was no statistically significant difference in age, course of disease and pathological type between the two groups ( t=0.65, 1.43, χ2=1.33, P>0.05) ; The proportion of patients with middle or high pathological grade in metastasis group was higher than that in non-metastasis group ( χ2=11.29, P<0.05). The maximum diameter, shape, internal enhancement pattern and time intensity curve type showed no statistically significant difference ( t=0.54, χ2=3.51, 0.67, 0.42, P>0.05) ; The proportion of patients with blurred edge features in metastasis group was higher than that in the other group ( χ2=4.53, P<0.05). The volume transfer constant (K trans) and reflux rate constant (Kep) in the metastasis group were higher than those in the other group ( t=2.97, 3.22, P<0.05), and extracellular space volume ratio (Ve) showed no statistically significant difference ( t=0.42, P>0.05). Receiver operating characteristic curve (ROC) results showed that the area under the curve (AUC) of K trans, Kep and their combined prediction of breast cancer lymph node metastasis was 0.758, 0.710 and 0.764, respectively, and the sensitivity was 56.25%, 42.75% and 62.50%, respectively. The specificity was 86.59%, 89.02% and 86.59% (all P<0.05) . Conclusions:Quantitative parameters of DCE-MRI can be used to predict lymph node metastasis of breast cancer, among which K trans, Kep and their combination are more effective in diagnosis.

Objective To analyze the characteristics of facial and tongue chromaticity parameters in patients with gastrointestinal tumors by setting the inspection image characteristics of patients with gastrointestinal tumors as the main research content;To establish an auxiliary diagnostic model for gastrointestinal tumors.Methods One-way ANOVA,t-test,Mann-whitney U test,canonical correlation analysis and Spearman statistical methods were used to analyze the characteristics of inspection image indexes and correlation of tumor markers of the 391 cases in the control group and 359 patients with gastrointestinal tumors.Machine learning methods such as SVM,Random Forest,KNN,Naive Bayes,XG Boost and Ada Boost were used to establish an auxiliary diagnostic model for gastrointestinal tumors.Results In terms of facial indicators,there were differences in F-R,F-G and F-B indicators among the control group,early-stage gastrointestinal cancer patients,and mid-to late-stage gastrointestinal cancer patients,in the comparison of tongue features among,TC-L,TB-L and TB-a of the control group,patients with early gastrointestinal tumors,and patients with intermediate and advanced gastrointestinal tumors showed a gradual downward trend;the AUC of the auxiliary diagnosis model of gastrointestinal tumor disease based on the chromaticity parameters of face tongue image constructed by Ada Boost algorithm was 0.930.Conclusion The auxiliary diagnostic model of gastrointestinal diseases constructed by facial and tongue images has good diagnostic effect,which can provide objective data support for in-depth exploration of the complex relationship between diagnosis and disease.

As a common syndrome type in TCM,blood stasis syndrome is diagnosed based on the four diagnostic methods of TCM,with inspection providing especially intuitive information.In recent years,with the advancement of objectification studies on the four diagnostic methods,inspection techniques for blood stasis syndrome have gradually transitioned from qualitative to quantitative analysis.This article reviewed recent progress in modern research on multi-region inspection for blood stasis syndrome,including facial complexion,tongue characteristics,sublingual collateral vessels,and microcirculation signs.Multi-region inspection technology has progressively established standardized acquisition protocols integrated with artificial intelligence technology,achieving a transition from qualitative to quantitative analysis.These region-specific data demonstrate clear associations with cardiovascular and metabolic diseases,supporting diagnostic objectification of blood stasis syndrome.However,further efforts remain necessary to expand clinical samples,integrate macro-micro data,standardize quantitative criteria,and establish collaborative diagnostic criteria for precise syndrome differentiation.

Purpose To explore the expression level of let-7b-5p in glioma and its effects and potential mecha-nisms on U251 cell growth.Methods The expression of let-7b-5p in glioma was detected using qRT-PCR.Data from the CGGA database were analyzed to examine the relationship between the let-7b-5p expression levels,WHO grade and overall survival rates of glioma patients.Transient transfection was used to downregulate the expression of let-7b-5p and IGF1R in U251 cells.The role and potential mechanism of let-7b-5p in the U251 cell were evaluated using qRT-PCR,CCK8 assays,clone formation assays,Western blotting,and double luciferase reporter assays.Results The expres-sion of let-7b-5p in glioma cells(A172:3.64±0.64,V251:4.56±0.52,U87-MG:3.31±0.50)and tissues(2.18±0.22)was significantly higher than that in astrocytes(HMC3:1.00±0.21,P＜0.05 or P＜0.01)and nor-mal brain tissues(1.01±0.19,P＜0.05).Let-7b-5p expression was negatively correlated with WHO grades but pos-itively correlated with survival rates in primary and recurrent glioma patients(P＜0.000 1 and P=0.028,respective-ly).Knockdown of let-7b-5p in U251 cells significantly promoted the growth of glioma cells(CCK8:knockdown group 126.00±12.09 vs miR-NC group 90.93±5.13,P＜0.05)and activated PI3K/AKT signal pathway.Suppressing IGF1R expression in U251 cells reversed the effects of let-7b-5p knockdown on glioma cell growth[CCK8:let-7b-5p knockdown+IGF1R knockdown group(92.08±6.14)vs let-7b-5p knockdown+sh-NC group(116.67.08±8.50)]and PI3K/AKT signal pathway activation.Conclusion Let-7b-5p functions as a tumor suppressor gene in glioma.It may regulate glioma cell growth by targeting IGF1R and modulating PI3K/AKT signal pathway.