ObjectiveTo observe the clinical efficacy of acupuncture combined with bloodletting and cupping in the treatment of chronic spontaneous urticaria（CSU） and to explore its potential mechanisms of action. MethodsSeventy CSU patients were randomly divided into loratadine group and acupuncture + bloodletting group， with 35 patients in each group. The loratadine group received oral loratadine tablets， 10 mg once daily in the evening. The acupuncture + bloodletting group received acupuncture at Zhongwan （CV 12）， Guanyuan （CV 4）， Tianshu （ST 25）， Zusanli （ST 36）， Sanyinjiao （SP 6）， Xuehai （SP 10）， Quchi （LI 11）， Hegu （LI 4）， Taichong （LR 3）， Baihui （GV 20）， and Shenting （GV 24）， once daily，along with bloodletting and cupping at Dazhui （GV 14） and Geshu （BL 17）， every other day. Both groups were treated for 4 weeks. The 7-day urticaria activity score（UAS7） was assessed before and after the treatment， and levels of serum immunoglobulin E （IgE）， interleukin-4 （IL-4）， interleukin-5 （IL-5）， eosinophil cationic protein （ECP）， plasma tissue factor （TF）， activated factor Ⅶ （FⅦa）， prothrombin fragment 1+2 （F1+2）， D-dimer （D-D） and complement component 5a （C5a） were detected. ResultsA total of 65 patients were included in the final analysis， 32 in the loratadine group and 33 in the acupuncture + bloodletting group. Before treatment， there was no significant difference in UAS7 score， serum IgE， IL-4， IL-5， ECP levels， or plasma TF， FⅦa， F1+2， D-D， C5a levels between groups （P＞ 0.05）. After treatment， both groups showed significant reductions in UAS7 score， serum IgE， IL-4， IL-5， and plasma TF， FⅦa， F1+2， D-D， and C5a levels compared to those before treatment （P＜0.01）. However， after treatment， there was no significant difference in UAS7 score and serum ECP， IgE， IL-4， IL-5 levels between groups （P＞0.05）. The acupuncture + bloodletting group showed lower plasma TF， FⅦa， F1+2， D-D and C5a levels compared to the loratadine group （P＜0.05 or P＜0.01）. ConclusionAcupuncture combined with bloodletting and cupping can effectively improve the skin symptoms of CSU patients and reduce the levels of inflammatory factors. The potential mechanism of action may involve the regulation of the coagulation-complement-mast cell activation axis， thereby inhibiting mast cell degranulation.

Objective:To analyze the association between household and leisure-time physical activity (HLPA) and the risk of cardiometabolic multimorbidity (CMM) in the elderly.Methods:This retrospective cohort study utilized three longitudinal datasets from the Chinese Longitudinal Healthy Longevity and Happy Family Study (CLHLS-HF) covering 2008-2018, 2011-2018, and 2014-2018. A total of 10 876 participants aged ≥65 years who completed at least one follow-up were enrolled for cohort analysis. The general data, lifestyle, histories of chronic diseases, and physical examination results were collected. The HLPA score was utilized as an indicator to assess the degree of HLPA participation of the study subjects, the subjects were divided into 4 groups by quartile of HLPA score (Q1, Q2, Q3, and Q4), and were stratified jointly by sex, type of residence and household income; stratified Cox regression was applied to analyze the association between HLPA score and the risk of CMM morbidity, and Cox regression combined with restricted cubic spline (RCS) model was utilized to analyze the dose-response relationship between HLPA score and CMM morbidity.Results:The cohort was observed for a total of 51 630.24 person-years, with a median follow-up time of 3.95 (2.57, 6.04) years, with 576 new cases of CMM and an incidence density of 11.16 per 1 000 person-years. Compared with the HLPA score Q1 group, the risk of CMM morbidity was significantly reduced by 31%, 41%, and 44% in the elderly in the Q2 ( HR=0.69, 95% CI: 0.53-0.90), Q3 ( HR=0.59, 95% CI: 0.45-0.77) and Q4 ( HR=0.56, 95% CI: 0.42-0.74) groups, respectively (all P<0.05). The HLPA score was non-linearly associated with CMM morbidity ( P for nonlinear=0.010), with the risk of CMM morbidity decreasing with the increase of HLPA score, with a significant downward trend up to the median, after which the decline leveled off. There was an interaction between the HLPA score and exercise ( P for interaction=0.016); there was a negative association between the HLPA score and the risk of CMM morbidity in the no-exercise population ( HR=0.65, 95% CI: 0.52-0.80, P<0.001). Conclusion:There is a nonlinear negative association between HLPA and the risk CMM morbidity in elderly in China, and interventions focused on those who do not exercise may yield better results.

Objective To establish an expert consensus on the management of low anterior resection syndrome(LARS)in patients with rectal cancer post-surgery(hereinafter referred to as"consensus"),aiming to standardize the related work of medical institutions in the context of post-operative LARS.Methods A comprehensive search of domestic and international databases was conducted to collect guidelines,expert consensuses,systematic reviews,evidence summaries,and original research related to post-operative LARS in rectal cancer published from the establishment of the databases until August 2024.Based on clinical practice experience,a preliminary draft of the"consensus"was formed.From September to November 2024,22 experts were invited to participate in 2 rounds of expert consultations,during which the draft content was revised and improved,and the final version of the"consensus"was determined through expert validation.Results A total of 22 experts responded,achieving a response rate of 100％.The effective recovery rate of the consultation questionnaires in both rounds was 100％,with an expert authority coefficient of 0.89,a judgment coefficient of 0.97,and a familiarity degree of 0.84.The Kendall harmony coefficients for the 2 rounds of expert consultations were 0.122 and 0.136,respectively(P＜0.001).This consensus covers 5 main aspects:definition,assessment,prevention,treatment,and follow-up management of LARS.Conclusion This consensus demonstrates a high level of scientific rigor and can provide a strong reference for clinical nursing personnel in the specialized care of rectal cancer patients with post-operative LARS.

ObjectiveTo explore the impacts of material type and loading volume of rigid containers on the hydrogen peroxide low temperature plasma sterilization of thoracoscopic instruments, to identify the best rigid containers and loading volume of thoracoscopic instruments. MethodsThoracoscopic instruments sterilized by STERRAD^® 100NX hydrogen peroxide low temperature plasma in Shanghai Pulmonary Hospital affiliated to Tongji University from August to September 2024 were selected as the research items. According to the material of rigid containers, the instruments were divided into polyethylene case group (A), stainless steel case group (B) and silicone resin case group (C). In terms of the loading volume, the rigid containers were divided into (loading capacity <80%) groups of 8, 10 and 12 instruments. The results of physical monitoring, the first type of chemical indicator card monitoring, and the five types of card luminal chemical process challenge device (PCD) monitoring of the 9 groups of A8, A10, A12, B8, B10, B12, C8, C10 and C12 were compared and evaluated. ResultsCompared to A8, A10 A12, C8, C10 or C12 groups, the thoracoscope instruments in the stainless steel containers in B8, B10 or B12 group had higher hydrogen peroxide concentrations and shorter elapsed time in the pressure check phases 1 and phases 2, with the differences statistically significant (P<0.05), followed by the silicone resin case group and the polyethylene case group. The nine groups of physical parameter monitoring, the first type of chemical indicator monitoring, and the five types of chemical PCD monitoring for lumen sterilization achieved 100% qualification rates, and there were no significant differences in the qualified rates of sterilization among the 9 groups (P>0.05). ConclusionWhen using hydrogen peroxide low temperature plasma to sterilize thoracoscopic instruments, it is recommended to use stainless steel or silicone resin rigid containers with a controlled loading capacity (≤12) to ensure optimal sterilization quality.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.

OBJECTIVE To explore the clinical characteristics of Tropheryma whipplei(TW)infection and observe the application of pathogenic metagenomic next-generation sequencing(mNGS)in diagnosis of TW infection.METHODS The clinical data were collected from 1 patient who was diagnosed by mNGS in the Affiliated Hospital of Jining Medical University on Apr.9,2022.The data including the results of laboratory tests and treatment out-comes were summarized,and a literature review was conducted.RESULTS A 50-year-old woman presented to the hospital with chest tightness and chest pain lasting for 3 days,accompanied by dyspnea,palpitations,and expec-toration.The chest plain CT scan and magnetic resonance imaging(MRI)scan suggested a high probability of pul-monary infection.Normal flora were isolated by culture of bronchoalveolar lavage fluid(BALF);TW and human βherpes virus type 7 were detected in BALF by mNGS,with the sequence numbers 327 000 and 9,respectively.The pulmonary symptoms of the patient were improved after joint treatment of the infection with etimicin,levo-floxacin and minocycline.The patient repeatedly sought for medical treatment due to the pain of shoulder joint and limitation of motion.CONCLUSIONS TW is one of major pathogens leading to the infections of systemic multiple systems,and it is necessary to attach great importance to the diagnosis and treatment.The traditional laboratory test method can not achieve ideal diagnosis effect and is more likely to make a missed diagnosis.mNGS is more ac-curate and more efficient than the traditional detection method in diagnosis of TW-induced diseases.Early use of mNGS can make a rapid identification of pathogens and facilitate the reasonable clinical use of antibiotics.It is of great significance for control of the disease progression,improvement of prognosis and prevention of recurrence.

OBJECTIVE To explore the clinical characteristics of Tropheryma whipplei(TW)infection and observe the application of pathogenic metagenomic next-generation sequencing(mNGS)in diagnosis of TW infection.METHODS The clinical data were collected from 1 patient who was diagnosed by mNGS in the Affiliated Hospital of Jining Medical University on Apr.9,2022.The data including the results of laboratory tests and treatment out-comes were summarized,and a literature review was conducted.RESULTS A 50-year-old woman presented to the hospital with chest tightness and chest pain lasting for 3 days,accompanied by dyspnea,palpitations,and expec-toration.The chest plain CT scan and magnetic resonance imaging(MRI)scan suggested a high probability of pul-monary infection.Normal flora were isolated by culture of bronchoalveolar lavage fluid(BALF);TW and human βherpes virus type 7 were detected in BALF by mNGS,with the sequence numbers 327 000 and 9,respectively.The pulmonary symptoms of the patient were improved after joint treatment of the infection with etimicin,levo-floxacin and minocycline.The patient repeatedly sought for medical treatment due to the pain of shoulder joint and limitation of motion.CONCLUSIONS TW is one of major pathogens leading to the infections of systemic multiple systems,and it is necessary to attach great importance to the diagnosis and treatment.The traditional laboratory test method can not achieve ideal diagnosis effect and is more likely to make a missed diagnosis.mNGS is more ac-curate and more efficient than the traditional detection method in diagnosis of TW-induced diseases.Early use of mNGS can make a rapid identification of pathogens and facilitate the reasonable clinical use of antibiotics.It is of great significance for control of the disease progression,improvement of prognosis and prevention of recurrence.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.