ObjectiveTo explore the clinical efficacy and mechanism of Bupi Qingfei prescription （BPQF） in treating stable bronchiectasis in the patients with syndromes of lung-spleen Qi deficiency and phlegm-heat accumulation in the lungs. MethodsA randomized， double-blind， placebo-controlled trial was conducted. Patients were randomized into BPQF and placebo control （PC） groups. On the basis of conventional Western medicine treatment， the BPQF granules and placebo were respectively administered at 10 g each time， twice a day， for a course of 24 weeks. The TCM symptom scores， Quality of Life Questionnaire for Bronchiectasis （QOL-B） scores， lung function indicators， T lymphocyte subsets， level of inflammatory factors in the sputum， level of neutrophil elastase （NE） in the sputum， and occurrence of adverse reactions were observed before and after treatment in the two groups. ResultsA total of 64 patients completed the study， encompassing 32 in the BPQF group and 32 in the PC group. After treatment， the BPQF group showed decreased TCM symptom scores （P<0.01）， increased QOL-B scores （P<0.01）， and declined levels of tumor necrosis factor （TNF）-α and NE （P<0.05， P<0.01）. The PC group showed decreased TCM symptom （except spleen deficiency） scores （P<0.01）， increased the QOL-B health cognition and respiratory symptom domain scores （P<0.05， P<0.01）， and a declined TNF-α level （P<0.01）. Moreover， the BPQF group had lower TCM symptom （except chest tightness） scores （P<0.05， P<0.01）， higher QOL-B （except treatment burden） scores （P<0.05， P<0.01）， and lower levels of interleukin-6 and TNF-α （P<0.05） than the PC group. Neither group showed serious adverse reactions during the treatment process. ConclusionBPQF can ameliorate the clinical symptoms of stable bronchiectasis patients who have lung-spleen Qi deficiency or phlegm-heat accumulation in the lungs by regulating the immune balance and inhibiting airway inflammatory responses.

OBJECTIVE: To investigate the therapeutic effect of Xiangshao Granules (XSG) on post-stroke depression (PSD) and explore the underlying mechanisms. METHODS: Forty-three C57BL/6J mice were divided into 3 groups: sham (n=15), PSD+vehicle (n=14), and PSD+XSG (n=14) groups according to a random number table. The PSD models were constructed using chronic unpredictable mild stress (CUMS) after middle cerebral artery occlusion (MCAO). The sham group only experienced the same surgical operation, but without MACO and CUMS stimulation. The XSG group received XSG (60 mg/kg per day) by gavage for 4 weeks. The mice in the sham and vehicle groups were given the same volume of 0.9% saline at the same time. The body weight and behavior tests including open field test, sucrose preference test, tail suspension test, and elevated plus-maze test, were used to validate the PSD mouse model. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR), enzyme-linked immunosorbent assay (ELISA), and immunofluorescence staining were used to evaluate the anti-inflammatory effects of XSG. The potential molecular mechanisms were explored and verified through network pharmacology analysis, Nissl staining, Western blot, ELISA, and RT-qPCR, respectively. RESULTS: The body weight and behavior tests showed that MCAO combined with CUMS successfully established the PSD models. XSG alleviated neuronal damage, reduced the expressions of pro-apoptotic proteins Caspase-3 and B-cell lymphoma-2 (BCL-2)-associated X (BAX), and increased the expression of anti-apoptotic protein BCL-2 in PSD mice (P<0.05 or P<0.01). XSG inhibited microglial activation and the expressions of pro-inflammatory cytokines including tumor necrosis factor-α, interleukin (IL)-1 β, and IL-6 via the toll-like receptor 4/nuclear factor kappa-B signaling pathway in PSD mice (P<0.05 or P<0.01). Furthermore, XSG decreased the expression of indoleamine 2,3-dioxygenase1 (IDO1) and increased the concentration of 5-hydroxytryptamine in PSD mice (P<0.05 or P<0.01). CONCLUSION XSG could reverse the anxiety/depressionlike behaviors and reduce the neuronal injury in the hippocampus and prefrontal cortex of PSD mice, which may be a potential therapeutic agent for PSD.
Animals ; Indoleamine-Pyrrole 2,3,-Dioxygenase/metabolism* ; Depression/etiology* ; Drugs, Chinese Herbal/therapeutic use* ; Hippocampus/metabolism* ; Male ; Mice, Inbred C57BL ; Prefrontal Cortex/pathology* ; Microglia/metabolism* ; Stroke/drug therapy* ; Disease Models, Animal ; Mice ; Behavior, Animal/drug effects*

Chronic obstructive pulmonary disease(COPD)often leads to disease progression due to"inflammation extravasation"and development to the whole body"weakness".Professor Miao Qing believes that"disorder of qi movement,impairment of the descending function of the lung"is the key pathogenesis of COPD,and proposes the method of"mediating triple energizers and tonifying three qi"to treat COPD,that is,based on upper energizer-pectoral qi-heart and lung qi,middle energizer-middle qi-spleen-stomach qi,lower energizer-primordial qi-kidney qi and kidney essence,respectively,"raising pectoral qi,nourishing upper energizer heart and lung","cultivating and nourishing middle qi,balancing the spleen and stomach of middle energizer","reinforcing the primordial qi,collecting and absorbing the kidney essence of lower energizer",and achieved good efficacy.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective To design a pairs of detection gloves for orthopedic manipulation to solve the problems of orthopedic manipulation in accurate,visual and quantitative description and reproduction in teaching.Methods The orthopedic manipulation detection gloves were mainly composed of a detection body worn on the hands,a main control module and a data visualization system.The detection body was made of multi-layer flexible materials such as rubber,cotton and non-woven fabrics,which integrated inertial sensors,pressure sensors and a data acquisition device;the main control module consisted of a filter circuit,an A/D converter(MCP3008)and a main controller(ARM-STM32 microcontroller);the data visualization system was designed based on the Unity 3D platform.Results The orthopedic manipulation detection gloves effectively detected the rotation angle of the knuckle during the orthopedic process with a high accuracy rate.Conclusion The orthopedic manipulation detection gloves can quantitatively display the abstract orthopedic manipulation,and can provide support for intelligent orthopedic teaching and orthopedic manipulation optimization.[Chinese Medical Equipment Journal,2025,46(7):27-33]

Chronic obstructive pulmonary disease(COPD)often leads to disease progression due to"inflammation extravasation"and development to the whole body"weakness".Professor Miao Qing believes that"disorder of qi movement,impairment of the descending function of the lung"is the key pathogenesis of COPD,and proposes the method of"mediating triple energizers and tonifying three qi"to treat COPD,that is,based on upper energizer-pectoral qi-heart and lung qi,middle energizer-middle qi-spleen-stomach qi,lower energizer-primordial qi-kidney qi and kidney essence,respectively,"raising pectoral qi,nourishing upper energizer heart and lung","cultivating and nourishing middle qi,balancing the spleen and stomach of middle energizer","reinforcing the primordial qi,collecting and absorbing the kidney essence of lower energizer",and achieved good efficacy.

Objective To design a pairs of detection gloves for orthopedic manipulation to solve the problems of orthopedic manipulation in accurate,visual and quantitative description and reproduction in teaching.Methods The orthopedic manipulation detection gloves were mainly composed of a detection body worn on the hands,a main control module and a data visualization system.The detection body was made of multi-layer flexible materials such as rubber,cotton and non-woven fabrics,which integrated inertial sensors,pressure sensors and a data acquisition device;the main control module consisted of a filter circuit,an A/D converter(MCP3008)and a main controller(ARM-STM32 microcontroller);the data visualization system was designed based on the Unity 3D platform.Results The orthopedic manipulation detection gloves effectively detected the rotation angle of the knuckle during the orthopedic process with a high accuracy rate.Conclusion The orthopedic manipulation detection gloves can quantitatively display the abstract orthopedic manipulation,and can provide support for intelligent orthopedic teaching and orthopedic manipulation optimization.[Chinese Medical Equipment Journal,2025,46(7):27-33]

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective:To explore the application value of breast ultrasound structured report in the clinical teaching of standardized residency training of ultrasonography.Methods:Forty-eight residents from the Department of Ultrasonography in Renmin Hospital of Wuhan University were selected as the research objects, and were randomly divided into experimental group and control group in average. The experimental group used structured report template to write the breast ultrasound report, while the control group used free text. After 1 month of clinical teaching, the teachers who were not clear about the grouping assessed and analyzed the differences between the two groups of residents in grasping the characteristics of lesions and reporting content. At the same time, the students were asked to fill in a questionnaire for self-evaluation to analyze the learning situation of the two groups of students. SPSS 21.0 statistical analysis software was used for t-test and Chi-square test. Results:In terms of teacher evaluation, the scores of residents in the experimental group were higher than those in the control group in terms of completeness of report content, accuracy of description of peripheral conditions of lesions, standardization of professional terms and practicality of differential diagnosis (all P<0.001). There was no significant difference in the accuracy of lesion description between the two groups ( P=0.342). In terms of self-evaluation of residents in the standardized residency training, the evaluations of residents in the experimental group on the degree of mastery of knowledge points, clinical thinking cultivation and satisfaction of teaching mode were significantly higher than those of residents in the control group ( P=0.006, 0.012, <0.001, respectively). There were no significant differences between the two groups in learning interest and operation convenience ( P=0.186, 0.065, respectively). Conclusions:The structured report of breast ultrasound is helpful for the residents to master the characteristics of lesions and write a complete and professional report. It is also helpful for them to improve the standardization of operation and clinical thinking ability.

Objective:To evaluate the cardiac morphological and functional parameters of patients with persistent atrial fibrillation (per-AF) and paroxysmal atrial fibrillation (PAF) using two-dimensional speckle tracking echocardiography (2D-STE) and real-time three-dimensional echocardiography (RT-3DE), and to explore their predictive value for the occurrence and progression of atrial fibrillation.Methods:A retrospective study was conducted on 30 per-AF patients (per-AF group), 30 PAF patients (PAF group) and 25 non-AF subjects (control group) who underwent echocardiography at Wuhan University People′s Hospital from May 2022 to May 2023. The left/right atrial longitudinal strain of reservoir, conduct and contraction (LASr/RASr, LAScd/RAScd, LASct/RASct), and calculated left atrial stiffness (LASI) were assessed by 2D-STE. Three-dimensional left and right atrial maximum volume index (LAVImax/RAVImax), minimum volume index (LAVImin/RAVImin) and emptying fraction (LAEF/RAEF) were obtained by RT-3DE. Then, patients with atrial fibrillation were divided into the normal LAVI group and enlarged LAVI group, and the differences of atrial strain among each group were compared. ROC curve was used to evaluate the overall diagnostic efficiency and cutoff values of ultrasonic parameters in patients with normal volume of atrial fibrillation. Finally, a multivariate Logistic regression model was established to identify the ultrasonic parameters associated with the occurrence and progression of different types of atrial fibrillation.Results:①Structurally, LAD, RAD and RAVImin in control, PAF and per-AF groups increased gradually, while LAEF and RAEF decreased gradually (all P<0.05). ②In terms of strain, LASr in control, PAF and per-AF groups decreased gradually (all P<0.05); Compared with the control group, LAScd, RASr and RAScd in PAF and per-AF groups were significantly decreased, and LASct and RASct in PAF group were significantly decreased (all P<0.05). ③Compared with the normal LAVI group, the LASr, LAScd and LASct in the enlarged LAVI group were significantly decreased, while LASI was significantly increased (all P<0.05); Compared with control group, the left and right atrial strain parameters in LAVI normal group were decreased, and LASI was increased (all P<0.05). The atrial strain parameter ROC was constructed in all subjects with normal left atrial volume, and RASr was the most sensitive indicator.④Multi-factor Logistic regression analysis showed that LAVImin and RASr were the influence factors of PAF ( OR=1.521, 0.907; 95% CI=1.173-1.972, 0.825-0.998; P=0.002, 0.044), LASr was the influence factor of pre-AF ( OR=0.858, 95% CI=0.802-0.917, P<0.001). Conclusions:2D-STE and RT-3DE can be used to evaluate the structural and functional changes of both atria, especially LAVImin, LASr and RASr, which have certain predictive value for the occurrence and progression of atrial fibrillation.