Objective To analyze the impact of sarcopenia on the efficacy and adverse reactions of immunotherapy combined with chemotherapy in patients with advanced gastric cancer.Methods Patients with locally advanced or metastatic gastric cancer confirmed by pathology who were not eligible for radical surgery were selected as study subjects.A body composition analyzer was used to measure the appendicular muscle mass of the patients and calculate the skeletal muscle mass index(SMI).Based on the SMI,the patients were divided into sarcopenia group and non-sarcopenia group.On the basis of nutritional intervention and comprehensive exercise therapy,the patients were administered immu-notherapy combined with chemotherapy.The efficacy and adverse reactions were evaluated.The primary endpoint was progression-free survival(PFS),and the secondary endpoints were the objec-tive response rate(ORR)and treatment-related adverse reactions.Results A total of 52 gastric cancer patients were included,with 23 in the sarcopenia group and 29 in the non-sarcopenia group.The median PFS in the non-sarcopenia group was 9.8 months(95％CI,8.9 to 12.4),and was 5.4 months in the sarcopenia group(95％CI,4.9 to 8.1).The median PFS in the non-sarcopenia group was longer than that in the sarcopenia group,and the difference was statistically significant[HR(95％CI)=0.41(0.23 to 0.73),P=0.003].The results of the multivariate Cox propor-tional hazards regression model showed that comorbidities,treatment cycles,and sarcopenia were all independent prognostic factors affecting the PFS of gastric cancer patients(P＜0.05).The ORR in the non-sarcopenia group was 48.28％(14/29),and was 17.39％(4/23)in the sarcopenia group(x2=5.276,P＜0.05).Treatment-related adverse reactions with grading ≥3 in both groups were mainly hematological toxicities.In the non-sarcopenia group,the incidence of grading ≥ 3 treat-ment-related adverse reactions was 27.59％(8/29),and the incidence of grading＜3 treatment-re-lated adverse reactions(including those with no adverse reactions)was 72.41％(21/29).In the sarcopenia group,the incidence of grading ≥3 treatment-related adverse reactions was 56.52％(13/23),and the incidence of grading＜3 treatment-related adverse reactions(including those without adverse reactions)was 43.48％(10/23).The incidence of grading ≥3 treatment-related adverse reactions in the non-sarcopenia group was lower than that in the sarcopenia group(P=0.035).Conclusion For patients with locally advanced or metastatic gastric cancer complicated with sarcopenia,the median PFS of immunotherapy combined with chemotherapy is shorter,the ORR is lower,and the incidence of treatment-related adverse reactions is increased.Therefore,ear-ly intervention for sarcopenia should be implemented to improve the quality of life of patients with advanced gastric cancer.

Objective To organize a nationwide interlaboratory comparison for measurement of gross α and gross β radioactivity in water, and improve the laboratory analysis of gross α and gross β radioactivity in water. Methods A unified comparison protocol was developed by the organizers. The groundwater with high natural radioactivity was used as water sample and distributed randomly to the participating laboratories. The participating laboratories used routine analytical methods to measure the samples and provided information such as analytical results, original records, and test reports. The results were evaluated using z-score. Results A total of 76 laboratories participated in the comparison, all employing the evaporation concentration-α/β counting method. Among them, 69 laboratories achieved |z| ≤ 2 for both gross α and gross β radioactivity measurements, and 32 laboratories achieved |z| ≤ 0.50 for both gross α and gross β radioactivity measurements. There were 69 laboratories with qualified results and 30 laboratories with excellent results, yielding a qualified rate of 90.8% and an excellent rate of 39.5%. Seven laboratories showed unqualified results and the unqualified rate was 9.2%. Conclusion Most laboratories have the ability to analyze gross α and gross β radioactivity in water. The main reasons for the deviation in comparison results are calibration efficiency, errors in the total residue mass caused by improper water sample processing operations. By analyzing the main technical problems existed in unqualified laboratories, their ability for measurement of gross α and gross β radioactivity in water has been improved.

Objective:To construct a platform for quality control and performance management of medical equipment based on edge computing architecture,and connect the existing information systems of hospital to achieve interconnection and interworking of bottom layer architecture of medical equipment.Methods:By deeply integrating 5 generation(5G)communication technique and Internet of Things(IoT)technique,and using edge computing architecture,a platform for quality control and performance management of medical equipment was constructed through collected the data of operational log from large-scale medical equipment.A total of 27 medical equipment in clinical use at the Affiliated Wuxi People's Hospital of Nanjing Medical University were selected in the study periods from July to December 2022(pre-implementation phase)and from July to December 2023(post-implementation phase).The accuracy rates of recorded data about equipment's operation were calculated as statistical method before and after the platform was applied.The response times for maintenance,the rates of opening equipment,and frequencies of repairing equipment for computed tomography(CT)equipment were compared between before and after the platform was applied.Results:The platform's primary functions for quality control and performance management of medical equipment mainly encompassed asset ledger,early warning for operation and maintenance,operational dynamics,allocation management,evaluation for usage efficiency,and evaluation for quality control for large-scale medical equipment of hospital.After the platform was applied,the accuracy of recorded data of 27 medical equipment was increased to 97%from 70-80%before the platform was applied.For CT equipment,the average response time and frequency of maintenance after the platform was applied were significantly lower than those before it was applied,while the average rate of opening equipment was significantly higher than that before it was applied,and the differences were significant(t=7.084,3.196,2.537,P<0.05).Conclusion:The platform for quality control and performance management of medical equipment based on edge computing architecture can provide safeguards for the operational quality and safety of large-scale medical equipment,and provide basis for fine using evaluation and rational configuration decisions,and reduce response times and frequency of maintaining equipment,and improve rate of opening equipment,and realize standardization,informatization,and scientificization of the management for large-scale medical equipment.

Objective To explore the roles of the mechanoreceptor Yes-associated protein 1(YAP1)and piezo type mechanosensitive ion channel component 2(PIEZO2)in mechanotransduction in mouse bladder urothelial cells.Methods Mouse bladder urothelial cells were subjected to mechanical stretching using the FX-6000T cell stretching system and treated with the YAP1-specific inhibitor verteporfin(VP).The expressions of PIEZO2,YAP1 and connective tissue growth factor(CTGF)at the mRNA and protein levels,as well as changes in cellular adenosine triphosphatase(ATP)concentration,were detected using reverse transcription quantitative PCR(RT-qPCR)and Western blotting(WB).Results After stretching stimulation,under the fluorescence microscope,it was observed that the diameter length of the stretched cells were longer than that before stretching,and the difference was statistically significant(P＜0.05).The expressions of YAP1,PIEZO2 and CTGF at the mRNA and protein levels were increased in the stretched group compared to those of the non-stretched group(P＜0.05).VP effectively reduced the expressions of YAP1,PIEZO2 and CTGF at the mRNA and protein levels after stretching stimulation(P＜0.05).Stretching stimulation significantly increased the intracellular ATP concentration,while VP was able to inhibit the increase in ATP concentration,with a statistically significant difference(P＜0.000 1).Conclusion Stretching stimulation increased the expressions of YAP1 and PIEZO2 in bladder urothelial cells and promoted the release of ATP;verteporfin inhibited the increase in YAP1 activity and the overexpression of PIEZO2 caused by stretching,thereby reducing the release of ATP.It is suggested that mouse bladder urothelial cells may primarily sense mechanical signals through the YAP1-PIEZO2-ATP pathway.

Objective To explore the roles of the mechanoreceptor Yes-associated protein 1(YAP1)and piezo type mechanosensitive ion channel component 2(PIEZO2)in mechanotransduction in mouse bladder urothelial cells.Methods Mouse bladder urothelial cells were subjected to mechanical stretching using the FX-6000T cell stretching system and treated with the YAP1-specific inhibitor verteporfin(VP).The expressions of PIEZO2,YAP1 and connective tissue growth factor(CTGF)at the mRNA and protein levels,as well as changes in cellular adenosine triphosphatase(ATP)concentration,were detected using reverse transcription quantitative PCR(RT-qPCR)and Western blotting(WB).Results After stretching stimulation,under the fluorescence microscope,it was observed that the diameter length of the stretched cells were longer than that before stretching,and the difference was statistically significant(P＜0.05).The expressions of YAP1,PIEZO2 and CTGF at the mRNA and protein levels were increased in the stretched group compared to those of the non-stretched group(P＜0.05).VP effectively reduced the expressions of YAP1,PIEZO2 and CTGF at the mRNA and protein levels after stretching stimulation(P＜0.05).Stretching stimulation significantly increased the intracellular ATP concentration,while VP was able to inhibit the increase in ATP concentration,with a statistically significant difference(P＜0.000 1).Conclusion Stretching stimulation increased the expressions of YAP1 and PIEZO2 in bladder urothelial cells and promoted the release of ATP;verteporfin inhibited the increase in YAP1 activity and the overexpression of PIEZO2 caused by stretching,thereby reducing the release of ATP.It is suggested that mouse bladder urothelial cells may primarily sense mechanical signals through the YAP1-PIEZO2-ATP pathway.

Objective:To construct a platform for quality control and performance management of medical equipment based on edge computing architecture,and connect the existing information systems of hospital to achieve interconnection and interworking of bottom layer architecture of medical equipment.Methods:By deeply integrating 5 generation(5G)communication technique and Internet of Things(IoT)technique,and using edge computing architecture,a platform for quality control and performance management of medical equipment was constructed through collected the data of operational log from large-scale medical equipment.A total of 27 medical equipment in clinical use at the Affiliated Wuxi People's Hospital of Nanjing Medical University were selected in the study periods from July to December 2022(pre-implementation phase)and from July to December 2023(post-implementation phase).The accuracy rates of recorded data about equipment's operation were calculated as statistical method before and after the platform was applied.The response times for maintenance,the rates of opening equipment,and frequencies of repairing equipment for computed tomography(CT)equipment were compared between before and after the platform was applied.Results:The platform's primary functions for quality control and performance management of medical equipment mainly encompassed asset ledger,early warning for operation and maintenance,operational dynamics,allocation management,evaluation for usage efficiency,and evaluation for quality control for large-scale medical equipment of hospital.After the platform was applied,the accuracy of recorded data of 27 medical equipment was increased to 97%from 70-80%before the platform was applied.For CT equipment,the average response time and frequency of maintenance after the platform was applied were significantly lower than those before it was applied,while the average rate of opening equipment was significantly higher than that before it was applied,and the differences were significant(t=7.084,3.196,2.537,P<0.05).Conclusion:The platform for quality control and performance management of medical equipment based on edge computing architecture can provide safeguards for the operational quality and safety of large-scale medical equipment,and provide basis for fine using evaluation and rational configuration decisions,and reduce response times and frequency of maintaining equipment,and improve rate of opening equipment,and realize standardization,informatization,and scientificization of the management for large-scale medical equipment.

Objective To observe the value of artificial intelligence(AI)knowledge graph and image classification for quality control(QC)of chest posterior-anterior position X-ray radiograph(abbreviated as chest film).Methods Totally 9 236 chest films from 595 medical institutions in Anhui province imaging cloud platform were retrospectively enrolled.QC knowledge graph containing 21 classification labels were constructed.Firstly,QC of chest films based on the above knowledge graph were performed by 10 technicians for 2 rounds of single person and 1 round of multi person,and the results were recorded as A,B and C,respectively.Then AI algorithms were used to classify and evaluate based on knowledge graph,and the result was recorded as D.Finally,a QC expert reviewed results C and D to determine the final QC results and taken those as references to analyze the efficiency of the above 4 QC.Results The area under the curve(AUC)of AI algorithm for QC of chest films were all ≥0.780,with an average value of 0.939.The average precision of QC for chest films of A,B,C and D was 81.15％,85.47％,91.65％and 92.21％,respectively.Conclusion AI knowledge graph and image classification technology could be effectively used for QC of chest posterior-anterior position X-ray radiograph.

Purpose Develop deep learning models to assess the clarity of chest X-ray images and validate the model's effectiveness by comparing it with the subjective evaluations of radiologists.Materials and Methods A retrospective collection of 9 135 chest X-ray images from 590 hospitals in Anhui Province,spanning from June 2015 to August 2022,was organized involving multiple radiologists who repeatedly evaluated the clarity of the images using a five-level scoring system.Individual assessments were designated as A and B,whereas the collective result of multiple assessments was designated as C.By constructing a deep learning model based on ResNet-50,image clarity evaluations of chest X-ray images were performed,we used the result C as the training and testing data for the model.The model's evaluation results were denoted as D.A radiology quality control expert conducted an audit assessment of the model's evaluation results and the multi-person assessments of physicians,serving as the reference standard for image clarity.Their assessment results were labeled as E.Statistical analysis,including Spearman's rank correlation coefficient,root mean square error(RMSE)and accuracy was employed to evaluate the effectiveness of the model.Results Compared with the reference standard E,D achieved an average accuracy of 0.85,exceeding the accuracy of C,which stood at 0.84.The ρ values for A,B,C,D and E were 0.58(0.54,0.62),0.59(0.55,0.63),0.74(0.71,0.77)and 0.80(0.78,0.82),respectively.The model exhibited the highest correlation with E.The ρ between A and B was 0.45(0.41,0.49),indicating a lower correlation between two individual subjective assessments of image clarity.The RMSE values for A,B,C,D and E were 0.99,0.94,0.72,and 0.71,respectively.The model's RMSE was lower than that of manual assessments.Conclusion This research model is capable of accurately assessing the clarity of chest X-ray images,and reducing the subjective interference of manual evaluation through deep learning methods,thereby providing an effective and objective evaluation tool for the assessment of clarity in clinical radiographic images.

Objective:To learn about the knowledge and practice of iodine deficiency disorders (IDD) prevention and control among main caregivers of pregnant women in trimester and its related influencing factors, so as to provide a scientific basis for effectively improving the iodine nutrition level of pregnant women.Methods:In April 2020, using the stratified sampling method, 2 districts and counties were selected in the urban, suburban and rural areas of Hangzhou City, respectively, and 5 maternal and child health care institutions were selected as the survey sites in each district and county according to the five directions of East, West, South, North and Middle. A face-to-face questionnaire investigation was used to investigate the knowledge and practice of IDD prevention and control among main caregivers of pregnant women.Results:Totally 601 caregivers of pregnant women were investigated. Among them, 68.9% (414/601) knew that eating iodized salt was the best way to prevent IDD. However, 15.0% (90/601) thought that eating seafood was the best way to prevent IDD. And 41.9% (252/601) caregivers of pregnant women would actively purchase iodine-rich food for cooking, and 63.6% (382/601) would choose iodized salt. There were statistically significant differences in the knowledge and practice of IDD prevention and control among caregivers of pregnant women in urban, suburban and rural areas ( P < 0.05). And 50.3% (87/173) male caregivers would actively purchase iodine-rich food for cooking, which was higher than that of female caregivers [38.6% (165/428)], the difference was statistically significant (χ 2 = 6.97, P = 0.008). There was a statistically significant difference between the caregivers of pregnant women of different ages in actively purchasing iodine-rich food for cooking (χ 2 = 12.61, P = 0.013). And there were statistically significant differences between the caregivers of pregnant women with different educational levels in actively purchasing iodine-rich food for cooking and choosing iodized salt (χ 2 = 29.34, 39.42, P < 0.001). Conclusions:The awareness of knowledge about IDD prevention and control and the formation of prevention and control behavior among caregivers of pregnant women in Hangzhou City are poor. Active education of caregivers of pregnant women should be strengthened to promote maternal and infant health.

Objective:To achieve rapid and accurate detection of trace uranium in drinking water by analyzing the factors influencing the accuracy of uranium measurement in drinking water using ultraviolet fluorescence method and by evaluating the uncertainty in measurement.Methods:The influence of acidity, Fe 3+ and Mn 2+ contents on the analitical result were studied to optimize the measurement conditions. The accuracy of the measurement method was verified in 7 laboratories. By studying the errors introduced in the process of standard preparation, sample pretreatment and measurement, the sources of uncertainty were analyzed and the uncertainty was synthesized. Results:At pH 1-11 in aqueous solution, the linear regression coefficient of the standard curve was greater than 0.995, which was in line with the linear measurement range of the instrument. At pH 12 or so, the linear regression coefficient was 0.761, which could not meet the measurement requirements. At pH<3 or pH>10, the increase in fluorescence count was lower, which might increase the measurement error. At Fe 3+ concentration ≥15 mg/L, a large deviation occurred in measurement value that could affect seriously measurement result. At Mn 2+ concentration ≥ 1.6 mg/L, the sample produced white precipitation, which could affect the measurement accuracy. Three spiked water samples with different concentrations were determined in 8 laboratories. Each water sample was measured six times in parallel. The relative standard uncertainty of the result were 6.42×10 -2, 4.48×10 -2 and 5.26×10 -2 μg/L, and the expanded uncertainties were 0.03, 0.06 and 0.12 μg/L( k=2), respectively. Conclusions:The optimum conditions for the determination of uranium in water using this method pH were in samples 3-10, the concentration of Fe 3+ less than 15 mg/L, and the concentration of Mn 2+ less than or equal to 1.6 mg/L. The main sources of uncertainty in the measurement of uranium in water using ultraviolet fluorescence method arise from the repeated measurement error and the volume of added standard solution.