Objective To analyze the factors associated with pain after arthroscopic rotator cuff bridge suture.Methods According to the inclusion and exclusion criteria,the data of 112 patients with unilateral rotator cuff injury who received arthroscopic bridge suture in our department were collected and were investigated in the form of telephone follow-up.In this study,SPSS 23.0 was used to input data and conduct statistical analysis.Logistic regression analysis was used to analyze the correlation between the above influencing factors and postoperative pain.Results A total of 112 patients were included for statistical analysis,single factor analysis revealed,including course of disease,smoking history,preoperative University of California,Los Angeles(UCLA)score,Constant score,numeric rating scale(NRS),size of rotator cuff tear,whether it was full-thickness tear and degree of tendon retraction might be related to postoperative pain(P<0.05).The age,gender,body mass index(BMI),drinking history,diabetes and hypertension were not related to postoperative pain(P>0.05).Multiple linear regression analysis concluded that there were four factors related to postoperative pain,and the correlation degree was preoperative NRS,preoperative UCLA score,tear size and smoking history.Conclusion The causes of postoperative pain after arthroscopic rotator cauff repair are complex and diverse.Analyzing the cause of postoperative pain can effectively reduce the pain of patients and promote the recovery of shoulder joint function.

Objective To propose a deep learning-based method for removing Gaussian and pepper noises of the surgical instrument visual images so as to recover the detailed features of the images.Methods A lightweight multi-task progressive network was constructed involving in a multi-feature fusion encoder-decoder network,an attention-guided network and a detail-recovery progressive network,which used the multi-feature fusion encoder-decoder network to predict and eliminate the noise information in the visual images,the attention-guided network to remove the residual noise and the detail-recovery progressive network to restore the underlying detail features of the denoised images.Some of the regular convolutions in the detail recovery progressive network were replaced with depth separable convolutions to realize lightweight design of the network constructed.Denoising experiments were conducted on the publicly available CBSD68 and Kodak24 datasets and the self-constructed surgical instrument noise dataset so as to compare the denoising effects of the network constructed and the traditional methods and the classification accuracies of ResNet-18 model and ResNet-34 model for the denosied images by the network and to analyze computing power and memory usage before and after the lightweight design.Results The network constructed gained better denoising effect than the classical methods for publicly available datasets,and ResNet-18 model and ResNet-34 model had higher accuracies when used to classify the images denoised by the network for the self-constructed surgical instrument noise dataset.Lightweight design had the parameter number and floating point operations(FLOPs)decreased by approximately 27.27％and 29.81％,respectively.Conclusion The proposed lightweight multi-task progressive network behaves well in denoising surgical instrument visual images with reduced computating power consump-tion and memory usage.[Chinese Medical Equipment Journal,2024,45(2):1-7]

Objective To propose a multi-cascade deep learning processor-based surgical instrument detection and pose estimation algorithm to facilitate the robotic scurb nurse to recognize and delivery surgical instruments.Methods The proposed multi-cascade deep leaning processor-based CYSP algorithm was hibernated with several functional modules such as YOLOX with coordinate attention block(CA-YOLOX),segment anything model(SAM)and principal component analysis(PCA).Firstly,CA-YOLOX was applied to identifying the types of the surgical instruments and completing the coarse positioning of x and y coordinates;secondly,the SAM segmenter was used to clarify the positions of the instruments in the RGB image,and the depth information and internal parameters of the camera were introduced to obtain the point cloud of the surgical instruments;finally,the center of mass,principal direction and normal direction of the surgical instrument point cloud were determined through the PCA algorithm,with which the rotation and translation(RT)matrix between the target coordinate system(surgical instrument center of mass coordinate system)and the base coordinate system of the robotic arm was solved,and the matrix was converted into a quaternion and then transmitted to the robotic arm control unit so as to drive the robotic arm to arrive at the corresponding position and pick up the instrument to complete the instrument delivery task.Migration training was accomplished on a self-constructed surgical instrument image dataset and the effectiveness of the proposed algorithm was evaluated,and instrument delivery experiments were performed on a seven-degree-of-freedom robotic arm and the success rate of the algorithm was assessed.Results The multi-cascade deep leaning processor-based CYSP algorithm had a recognition accuracy of 98.52％on the surgical instrument dataset,a success rate of 94％for the in-strument delivery experiment and average time for recognition of 0.28 s.Conclusion The multi-cascade deep leaning proces-sor-based CYSP algorithm with high reliability and practicability behaves well in facilitating the robotic scurb nurse to recog-nize and deliver surgical instruments.[Chinese Medical Equipment Journal,2024,45(6):1-8]

Objective To explore the effect of a R language-based autoregressive integrated moving average(ARIMA)model for predicting the consumption of medical consumables.Methods The monthly consumption data of a certain type of pre-filled flush syringe from July 2018 to June 2023 was selected as the sample data,which underwent smoothness test and difference operation with R language.An ARIMA model was established and the optimal model was determined according to the Akaike and Bayesian information criteria.The corresponding data of the third quarter of 2023 was used as the validation set to predict the consumption,and the prediction result was compared with the actual values to evaluate the prediction effect of the ARIMA model.Results The ARIMA model with the best fitting was ARIMA(0,1,1)(1,0,0)12,all the predicted data were within 95％confidence interval,and its mean absolute percentage error MAPE was 9.92％.P-value proved to be higher than 0.05 when the residual series were tested using the Ljung-Box statistics,which meant the prediction result was satisfactory.Conclusion The R language-based ARIMA model behaves well in predicting the consumption of medical consumables,and provides references for demand planning,budgeting,purchasing and management of medical consumables.[Chinese Medical Equipment Journal,2024,45(10):84-87]

Secondary organic aerosol(SOA)produced by photooxidation of styrene and other aromatic compounds is a major part of fine particles in urban atmosphere.In this study,the measurement of component and content of SOA formed from photooxidation of styrene in smog chamber using synchronous radiation vacuum-ultraviolet photoionization aerosol mass spectrometer(VUV-PIAMS)was conducted.Photoionization mass spectra of styrene SOA was detected by synchrotron radiation photon with 10.5 eV,and the proportion of main components was quantified based on the peak area of each ion peak.The photoionization efficiency curve of ion peak was obtained under synchrotron radiation photons in the range from 7.5 to 11.5 eV,and then the ionization potential was acquired for qualitative analysis of the component structure.The results showed that the photoionization mass spectra of styrene SOA mainly contained ion peaks at m/z 106,108,120 and 122,and the ionization potentials of each peak were(9.41±0.03)eV,(8.93±0.03)eV,(9.24±0.03)eV and(9.25±0.03)eV,respectively.Combined with quantum chemistry calculation and off-line measurement verification of infrared absorption spectra and electrospray ionization mass spectra,it was determined that benzaldehyde,benzyl alcohol,4-vinylphenol and benzoic acid were main components of styrene SOA,accounting for 32.5%,17.5%,25%and 15%of the measured components,respectively,and the generated quantity ratio was 13∶7∶10∶6.VUV-PIAMS could overcome the disadvantages of off-line method,and could on-line detect component and content of SOA,proving a useful tool to measure the chemical components and reveal the formation process of SOA particles.

In recent years,the development of acupuncture and moxibustion(shortened as acup-moxibustion)has flourished.With the verification of clinical efficacy of acup-moxibustion,its basic research has gradually drawn the attention of the practitioners accordingly.But how to scientifically perform the basic research of acup-moxibustion and to serve the clinic effectively has become a major problem for the contemporary Chinese medicine practitioners.By analyzing the characteristics of acup-moxibustion-related research projects funded by the National Natural Science Foundation of China,this paper outlined the current status of domestic research of acup-moxibustion,and proposed four suggestions after analyzing the problems and weaknesses of acup-moxibustion basic research in China:①the clinical evidence-based system in the current acup-moxibustion should be further constructed and the basic research should be focused on the area of advantages;② the key problems of acup-moxibustion basic research should be clarified,and the proportion of original researches should be increased;③ the integration of production,teaching and research of acup-moxibustion should be enhanced to adapt to the era of big science;④ the funding system and its polity and structure needed to be reformed.This study will help to increase the discipline ranking of acup-moxibustion,enhance its high-quality development,and promote its internationalization.

Objective To investigate the application effect and imaging changes of metal cushion block combined with Jumbo cup in the reconstruction of acetabular bone defect after revision of artificial hip joint.Methods Retrospective analysis was made on the clinical data of 83 patients who underwent revision acetabular bone defect reconstruction of the artificial hip joint in our hospital from September 2019 to October 2021.They were divided into group A and group B according to different surgical methods.There were 42 patients in group A,including 26 males and 16 females,aged from 44 to 72 years old with an average of(60.57±4.62)years,who underwent revision with metal cushion block and Jumbo cup.There were 41 patients in group B,including 22 males and 19 females,aged from 42 to 71 years old with an average of(58.74±4.25)years,who under-went revision with metal cushion block and bone cement mortar cup.The operation related indexes,Harris hip function score and visual analogue scale(VAS)of pain before operation,1 month and 12 month after operation were compared between two groups.The results of X-ray imaging examination(hip rotation center height,acetabular abduction angle,femoral eccentricity and imaging standard qualification rate)before and 12 month after operation were evaluated,and the incidence of complica-tions was compared between two groups.Results There was no significant difference in operation time,intraoperative bleeding volume and postoperative drainage volume between two groups(P＞0.05).Both groups were followed up for 12 to 36 months with an average of(25.36±3.59)months.The scores of pain,function,deformity and Harris'total score in the two groups at 1 month after operation were higher than those before operation(P＜0.05),and the scores of pain,function,deformity,joint activ-ity and Harris'total score in two groups at 1 year after operation were higher than those before operation and 1 month after op-eration(P＜0.05),and the above scores in group A were higher than those in group B at 1 year after operation(P＜0.05).The VAS of two groups decreased successively at 1 month and 1 year after operation(P＜0.05),but there was no significant differ-ence in both groups at each time point(P＞0.05).The femoral eccentricity increased in both groups at 1 year after operation(P＜0.05),and group A was higher than group B(P＜0.05).The height of rotation center and acetabular abduction angle de-creased in both groups at 1 year after operation(P＜0.05),and the height of rotation center in group A was lower than that in group B(P＜0.05),but there was no significant difference in acetabular abduction angle between two groups(P＞0.05).The imaging qualification rate of group A was higher than that of group B(P＜0.05).There was no significant difference in the inci-dence of adverse reactions between two groups(P＞0.05).Conclusion Metal cushion block combined with Jumbo cup in the treatment of acetabular bone defects can provide the hip joint function,and restore the hip joint rotation center,femoral eccen-tricity and acetabular abduction angle,with obvious clinical effect.

Objective:To investigate the clinical characteristics and influence of co-mutated gene on acute myeloid leukemia patients(AML)with FMS-like tyrosine kinase-3(FLT3)mutations.Methods:A total of 273 FLT3+AML patients were enrolled,and the co-mutation gene data of the patients were collected to further analyze the prognosis of the patients.FLT3 and other common mutations were quantified by PCR amplification products direct sequencing and second-generation sequencing(NGS).Results:When patients were divided into FLT3 ITD+,FLT3 TKD+,FLT3 ITD++TKD+and FLT3 ITD-+TKD-group according to the type of FLT3 mutations,it was found that the frequencies of TET2,GATA2,NRAS and ASXL1 mutation were significantly different among the 4 groups(all P＜0.05).When patients were divided into allelic ratio(AR)≥0.5 and＜0.5 group,it was found that the frequencies of FLT3 ITD+,FLT3 ITD-+TKD-,NPM1,NRAS and C-kit were significantly different between the two groups(all P＜0.05).When patients were divided into normal and abnormal karyotype group,it was found that the frequencies of FLT3 ITD+,FLT3 TKD+,NPM1,GATA2 and C-kit were significantly different between the two groups(all P＜0.05).The median overall survival(OS)of AML patients with FLT3 TKD+(including FLT3 ITD++TKD+)was longer than that of patients with FLT3 ITD+alone(P＜0.05).The OS and relapse-free survival(RFS)of AML patients with FLT3++TET2+were both shorter than those of patients with FLT3++TET2-(both P＜0.05).Conclusion:The mutation frequencies of co-mutated genes are correlated with subtypes of FLT3,karyotype and AR.AML patients with FLT3 TKD+have longer OS than patients with FLT3 ITD+alone,and patients with co-mutation of TET2 have shorter median OS and RFS.

Recent studies have shown that the occurrence and development of common liver diseases, including non-alcoholic fatty liver disease, cirrhosis, and liver cancer, are related to liver aging(LA). Therefore, to explore the effect and mechanism of Dahuang Zhechong Pills(DHZCP), a traditional classic prescription in improving LA with multiple targets, the present study randomly divided 24 rats into a normal group, a model group, a DHZCP group, and a vitamin E(VE) group, with six rats in each group. The LA model was induced by continuous intraperitoneal injection of D-galactose(D-gal) in rats. For the LA model rats, the general situation was evaluated by aging phenotype and body weight(BW). LA was assessed by the pathological characteristics of hepatocyte senescence, hepatic function indexes, the staining characteristics of phosphorylated histone family 2A variant(γ-H2AX), and the expression levels of cell cycle arrest proteins(P21, P53, P16) and senescence-associated secretory phenotype(SASP) in the liver. The activation of the reactive oxygen species(ROS)-mediated phosphatidylinositol-3 kinase(PI3K)/protein kinase B(Akt)/forkhead box protein O4(FoxO4) signaling pathway was estimated by hepatic ROS expression feature and the protein expression levels of the key signaling molecules in the PI3K/Akt/FoxO4 signaling pathway. The results showed that after the treatment with DHZCP or VE for 12 weeks, for the DHZCP and VE groups, the characterized aging phenotype, BW, pathological characteristics of hepatocyte senescence, hepatic function indexes, relative expression of ROS in the liver, protein expression levels of key signaling molecules including p-PI3K, p-Akt, and FoxO4 in the liver, staining characteristics of γ-H2AX, and the protein expression levels of P16, P21, P53, interleukin-6(IL-6), and tumor necrosis factor-α(TNF-α) in the liver were improved, and the effects of DHZCP and VE were similar. Based on the D-gal-induced LA model in rats, this study demonstrates that DHZCP can ameliorate LA with multiple targets in vivo, and its effects and mechanism are related to regulating the activation of the ROS-mediated PI3K/Akt/FoxO4 signaling pathway in the liver. These findings are expected to provide new pharmacological evidence for the treatment of DHZCP in aging-related liver diseases.
Animals ; Rats ; Proto-Oncogene Proteins c-akt/genetics* ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species ; Tumor Suppressor Protein p53/genetics* ; Signal Transduction ; Liver ; Aging ; Cell Cycle Proteins ; Interleukin-6

A comprehensive analytical method based on ultra-fast liquid chromatography coupled with triple quadrupole/linear ion trap tandem mass spectrometry(UFLC-QTRAP-MS/MS) was established for simultaneous determination of the content of 45 bioactive constituents including flavonoids, alkaloids, amino acids, phenolic acids, and nucleosides in Epimedium brevicornum. The multiple bioactive constituents in leaves, petioles, stems and rhizomes of E. brevicornum were analyzed. The gradient elution was performed at 30 ℃ in an XBridge~® C_(18) column(4.6 mm×100 mm, 3.5 μm) with 0.4% formic acid aqueous solution-acetonitrile as the mobile phase at a flow rate of 0.8 mL·min~(-1). Single factor experiment and response surface methodology were employed to optimize the extraction conditions. Multivariate statistical analyses including systematic cluster analysis(SCA), principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and one-way analysis of variance(One-way ANOVA) were carried out to classify the samples from different parts and identify different constituents. Grey relation analysis(GRA) and entropy weight-TOPSIS analysis were performed to build a multi-index comprehensive evaluation model for different parts of E. brevicornum. The results showed that there was a good relationship between the mass concentrations of 45 constituents and the corresponding peak areas, with the correlation coefficients(r) not less than 0.999 0. The precision, repeatability, and stability of the established method were good for all the target constituents in this study, with the relative standard deviations(RSDs) less than 5.0%(0.62%-4.9%) and the average recovery of 94.51%-105.7%. The above results indicated that the bioactive constituents varied in different parts of E. brevicornum, and the overall quality followed the trend of leaves > petioles > rhizomes > stems. This study verified the rationality of the Chinese Pharmacopoeia(2020 edition) stipulating that the medicinal part of E. brevicornum is the leaf. Moreover, our study indicated that the rhizome had the potential for medicinal development. The established method was accurate and reliable, which can be used to comprehensive evaluate and control the quality of E. brevicornum. This study provides data reference for clarifying the medicinal parts and rationally utilizing the resources of E. brevicornum.
Chromatography, High Pressure Liquid ; Epimedium ; Tandem Mass Spectrometry ; Chromatography, Liquid ; Multivariate Analysis