Objective To investigate the efficacy of Yiqi Wenyang Sanjie Decoction in the treatment of patients with pulmonary ground glass nodules and yang-deficiency constitution,and to observe its effect on serum inflammatory factors and immune function.Methods From January 2020 to June 2024,a total of 106 patients with pulmonary ground glass nodules and yang-deficiency constitution admitted to the Department of Respiratory Medicine and Preventive Treatment of Disease Center of Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine were selected.The patients were randomly divided into control group and Chinese medicine group by random number table method,with 53 cases in each group.The patients in the control group were only given follow-up without any intervention,and the patients in the Chinese medicine group were treated with Yiqi Wenyang Sanjie Decoction for 3 months.Before and after treatment,the two groups were observed in the changes of traditional Chinese medicine(TCM)syndrome scores,maximum diameter of pulmonary ground glass nodules,serum levels of inflammatory factors of interleukin-6(IL-6),interleukin-17A(IL-17A),and tumor necrosis factor-α(TNF-α),and levels of immune function indicators of peripheral blood CD3+,CD4+cell percentage and CD4+/CD8+ratio.After treatment,the efficacy and safety of the two groups were evaluated.Results(1)During the trial,5 cases fell off from the control group and 3 cases fell off from the Chinese medicine group.A total of 98 cases were eventually included,and 48 cases were in the control group and 50 cases were in the Chinese medicine group.(2)After 3 months of treatment,the total effective rate of the Chinese medicine group was 46.00%(23/50),and that of the control group was 10.42%(5/48).The intergroup comparison(tested by chi-square test)showed that the efficacy of the Chinese medicine group was significantly superior to that of the control group(P＜0.01).(3)After treatment,the TCM syndrome score and the maximum diameter of pulmonary ground glass nodules in the Chinese medicine group were lowered(P＜0.05),while the TCM syndrome score and the maximum diameter showed no obvious changes compared with those at enrollment(P＞0.05);the intergroup comparison showed that the reduction of TCM syndrome score and the maximum diameter of pulmonary ground glass nodules in the Chinese medicine group was significantly superior to that in the control group(P＜0.05).(4)After treatment,the levels of serum inflammatory factors of IL-6,IL-17A and TNF-α in the Chinese medicine group were significantly lowered compared with those at enrollment(P＜0.05),while there was no significant change in serum IL-6,IL-17A and TNF-α levels of the control group(P＞0.05);the intergroup comparison showed that the decrease of serum IL-6,IL-17A and TNF-α levels in the Chinese medicine group was significantly superior to that in the control group(P＜0.05).(5)After treatment,the percentage of T lymphocyte subset CD4+and the ratio of CD4+/CD8+in the Chinese medicine group were significantly increased compared with those at enrollment(P＜0.05),while there was no significant change in the percentage of CD3+,CD4+cells and the ratio of CD4+/CD8+of the control group and in the percentage of CD3+cells of the Chinese medicine group(P＞0.05).The intergroup comparison showed that the increase of CD4+percentage and CD4+/CD8+ratio in the Chinese medicine group was significantly superior to that in the control group(P＜0.05).(6)There were no obvious adverse reactions occurring in the Chinese medicine group during the treatment,showing relatively high safety.Conclusion Yiqi Wenyang Sanjie Decoction exerts certain effect in the treatment of patients with pulmonary ground glass nodules and yang-deficiency constitution.It can effectively promote the reduction of nodules,relieve clinical symptoms,decrease serum levels of inflammatory factors,improve immune function,and has good safety.

Real-time,noninvasive programmed death-ligand 1(PD-L1)testing using molecular imaging has enhanced our understanding of the immune environments of neoplasms and has served as a guide for immunotherapy.However,the utilization of radiotracers in the imaging of human brain tumors using positron emission tomography/computed tomography(PET/CT)remains limited.This investigation involved the synthesis of[18F]AlF-NOTA-PCP2,which is a novel peptide-based radiolabeled tracer that targets PD-L1,and evaluated its imaging capabilities in orthotopic glioblastoma(GBM)models.Using this tracer,we could noninvasively monitor radiation-induced PD-L1 changes in GBM.[18F]AlF-NOTA-PCP2 exhibited high radiochemical purity(＞95％)and stability up to 4 h after synthesis.It demonstrated specific,high-affinity binding to PD-L1 in vitro and in vivo,with a dissociation constant of 0.24 nM.PET/CT imaging,integrated with contrast-enhanced magnetic resonance imaging,revealed significant accumulation of[18F]AlF-NOTA-PCP2 in orthotopic tumors,correlating with blood-brain barrier disruption.After radiotherapy(15 Gy),[18F]AlF-NOTA-PCP2 uptake in tumors increased from 9.51％±0.73％to 12.04％±1.43％,indicating enhanced PD-L1 expression consistent with immunohisto-chemistry findings.Fractionated radiation(5 Gy × 3)further amplified PD-L1 upregulation(13.9％±1.54％ID/cc)compared with a single dose(11.48％±1.05％ID/cc).Taken together,[18F]AlF-NOTA-PCP2 may be a valuable tool for noninvasively monitoring PD-L1 expression in brain tumors after radiotherapy.

In the field of healthcare service,it is crucial to optimize medical innovation services by combining the preferences of health service providers and demanders(i.e.,stakeholders).The best-worst scaling(BWS)method is a recently developed stated preference method for assessing preferences with distinctive advantages.Nevertheless,there is a lack of a comprehensive introduction to stakeholder preference assessment using BWS,thus constraining its applications and promotion.This paper introduces the process of using BWS to assess service providers'preferences for the Shared Medical Appointment for diabetes(SMART),an integrated healthcare service of medicine and health management,in the hope of providing reference for researchers for promoting the use of BWS in implementation research.

Objective To evaluate the clinical efficacy and safety of bumetanide in comparison with other diuretics for the prevention and management of postoperative pleural effusion in patients undergoing hepatobiliary surgery.Methods A total of 168 patients undergoing routine hepatobiliary surgery were randomly assigned to either the bumetanide group or the control group(other diuretics).Patients in the bumetanide group received bumetanide injection at a dose of 1 mg intravenously once daily.In contrast,the control group received one of the following treatments:furosemide injection at 20 mg intravenously once daily,furosemide tablets at 40 mg orally twice daily,or a combination of furosemide tablets(40 mg orally twice daily)and spironolactone tablets(60 mg orally twice daily).All treatments were administered for three days postoperatively.The incidence of postoperative pleural effusion,length of hospital stay,and drug-related adverse reactions were compared between the two groups.Additionally,multivariate logistic regression analysis was conducted to identify independent risk factors for moderate-to-severe pleural effusion after surgery.Results A total of 82 patients were enrolled in the bumetanide group and 86 in the control group.No significant differences were observed in the general demographic and clinical characteristics between the two groups(P>0.05),except for sex and ALT levels(P<0.05).The incidence of moderate-to-severe pleural effusion was higher in the control group than in the bumetanide group,with rates of 9.3％and 1.2％,respectively(all P<0.05).Additionally,the length of hospital stay was significantly longer in the control group(19.94±0.90 days)compared to the bumetanide group(17.15±1.06 days)(all P<0.05).Thora-centesis was performed in 2 cases in the bumetanide group and 8 cases in the control group,but this difference was not statistically significant(P>0.05).The primary adverse drug reactions in both groups included hypokalemia,hypochloremia,hyponatremia,and hypocalcemia.The overall incidence of adverse drug reactions was 35.4％in the bumetanide group and 34.9％in the control group,showing no significant difference(P>0.05).Multivariate regression analysis revealed that a history of hepatitis B,cirrhosis,and the use of bumetanide were independent predictors of moderate-to-severe pleural effusion during routine hepatobiliary surgery(all P<0.05).Conclusions Bumetanide demonstrates superior efficacy compared to other conventional diuretics in the prevention and manage-ment of postoperative pleural effusion in hepatobiliary surgery,suggesting potential clinical application value.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Objective:This study identifies independent predictive indicators to distinguish autoimmune gastritis from Helicobacter pylori ( H. pylori)-induced atrophic gastritis and validates their diagnostic performance to compare laboratory indicators of autoimmune gastritis and H. pylori-induced atrophic gastritis. Methods:A retrospective comparison of laboratory examination indicators was conducted for chronic atrophic gastritis patients with involvement of the gastric fundus and corpus, who were followed up at the Department of Gastroenterology, Xijing Hospital, from January 2014 to September 2024. Receiver operating characteristic (ROC) curves were utilized to determine the optimal cutoff points and corresponding diagnostic thresholds. In addition, multivariate logistic regression analysis was conducted to identify independent predictive indicators for autoimmune gastritis, with further assessment in a validation cohort.Results:A total of 139 patients with autoimmune gastritis and 209 patients with H. pylori-induced atrophic gastritis were included. Pepsinogen (PG) Ⅰ levels and the PG Ⅰ/PG Ⅱ ratio in patients with autoimmune gastritis were significantly lower than in those with H. pylori-induced atrophic gastritis [11.0 (4.8, 22.5) vs. 41.8 (32.2, 59.9) μg/L, U=722.00, P<0.001; 1.24 (0.75, 3.54) vs. 5.76 (4.31, 7.12), U=817.00, P<0.001], while gastrin levels were significantly higher [375 (84, 738) vs. 49 (35, 81) ng/L, U=378.00, P<0.001]. PG Ⅰ was identified as an independent predictive variable, with an area under the ROC curve of 0.847 (95% CI 0.791-0.904), sensitivity of 77.6%, specificity of 91.8%, positive predictive value of 80.5%, and negative predictive value of 90.5%. Conclusions:Significant differences in laboratory indicators were observed between autoimmune gastritis and H. pylori-induced atrophic gastritis in chronic atrophic gastritis involving gastric fundus and corpus. Besides, PG Ⅰ demonstrated good diagnostic performance in identifying autoimmune gastritis and can effectively differentiate between different types of atrophic gastritis.

National mutual recognition of clinical laboratory test results is an important measure to improve the utilization of medical resources and reduce the economic burden of healthcare for the public. The essence of mutual recognition of test results is to ensure that the test results between different medical institutions are consistent and comparable, thereby avoiding duplicate testing and waste of medical resources, and improving the patient′s healthcare experience. The evaluation of comparability of inspection results, quality measurement and monitoring of mutual recognition laboratories and tests, as well as the development of quality evaluation indicators and technical requirements for mutual recognition laboratories, are the core issues for the realization of mutual recognition of inspection results nationwide. This article explores the quality evaluation indicators and technical requirements for mutual recognition of clinical laboratory test results nationwide to speed up this process.

To establish a rapid visual detection method for Akabane virus(AKAV)on site,specific primers and probes based on the S fragment of AKAV were designed in this experiment.Corre-sponding groups were added to the primers or probes to fulfil the requirement of the combination of recombinase polymerase amplification(RPA)with lateral flow dipstick(LFD).The reaction temperature and time,concentrations of the primer and probe were optimized to establish the RPA-LFD method for detecting AKAV.After that,the specificity,sensitivity and clinical reliability of the method were evaluated.The results showed that after 20 minutes of reaction at 37 ℃,the test results could be read on LFD paper.There was no cross reaction against blue tongue virus,Pasteurella multocida,bovine infectious rhinotracheitis virus and bovine Mycoplasma bovis,and the detection limit was 2.5 × 100 copies/μL of standard plasmid.Detection of clinical samples showed a consistent results with that by RT-PCR method.These findings indicated that the RPA-LFD method established had the advantages of good specificity,high sensitivity,simple operation and visualization,and could be applied to clinical detection,which provides new technical support for the rapid diagnosis and prevention and control of AKAV.

Objective To develop a statistical quality control(SQC)program design software to help laboratories design comprehensive SQC programs based on patient risk.Methods Based on the power function diagram,operation process specification diagram,risk-based multi-level internal quality control(IQC)scheme,and online calculator for IQC frequency,corresponding software modules were integrated and designed,and applied the data of potassium project to the software.Results For the power function diagram,operation process specification,and online calculator for IQC frequency,13s/22s/R4s/41s[Number of quality control measurement values(N)=2]was the best choice for potassium for IQC.In the risk-based multi-level IQC scheme,13s/22s/R4s/41s(N=2)could be selected as the startup quality control event,while different subsequent bracketing quality control events could be obtained based on different expected reporting intervals and maximum workloads to achieve the expected quality requirements.Conclusion The development of statistical quality control program design soft is proves beneficial for clinical laboratories to assess the current quality level and select appropriate quality control approaches,and assists the laboratories in enhancing quality.

Occupational pneumoconiosis remains the most common occupational disease in China, with occupational mineral dust exposure being its primary causative factor. Although national standards for online monitoring and early warning systems of coal mine dust concentrations have been established, national occupational health standards for rapid and online monitoring of dust concentration and particle size distribution in other industries are still limited. Among dust concentration sensor technologies, the light scattering method is the preferred choice for online dust monitoring owing to its wide measurement range and low cost. The beta-ray absorption method is mature but highly sensitive to humidity. The electrostatic induction method offers high sensitivity, simple structure, and low maintenance costs but exhibits high errors in low-concentration dust monitoring. The tapered element oscillating microbalance method is highly sensitive but costly. Multi-sensor data fusion technology can improve monitoring reliability, however, mature domestic products are not yet available. For monitoring dust particle size distribution, sieving and sedimentation methods are cumbersome. The aerodynamic method shows broad prospects in the online monitoring of respirable dust but has obvious measurement errors for larger dust particles. The use of optical measurement method is limited by dust morphology and is not suitable for monitoring coal dust particle size distribution. The electrical mobility method is primarily applicable to submicron dust. Future research should focus on promoting the application of monitoring technology for respirable dust particle size distribution in online monitoring of industrial dust. By integrating Internet of Things, data mining, and artificial intelligence technologies, along with multi-sensor data fusion and numerical simulation, dust concentration prediction models can be established to achieve accurate dust concentration monitoring and early warning of exceedances. The advancements of technologies will provide scientific support for the assessment of industrial dust hazards and the prevention and control of occupational pneumoconiosis.