OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Peri-implantitis is a pathologic condition associated with dental plaque that occurs in the implant tissue and is characterized by inflammation of the mucous membrane surrounding the implant, followed by the progressive loss of supporting bone. In this study, a case of guided bone regeneration therapy based on plaque control of peri-implant inflammation was reported. Four years after surgery for the left second premolar implant, the patient presented with "left lower posterior tooth swelling and discomfort for more than 2 years". The X-ray periapical film showed a decrease in distal bone mineral density of implant, and the clinical diagnosis was peri-implantitis of the left second premolar. Implants underwent guided bone regeneration and regular periodontal maintenance treatment. Re-examination at 3.5 months, 11 months, 18 months, and 7 years showed that the alveolar bone height and bone mineral density were stable, and the periodontal depth became shallow. However, the gingival recession was mild. In the present case, follow-up at 7 years demonstrated that the clinical periodontal indexes could be remarkably improved after complete periodontal treatment for peri-implantitis, and the alveolar bone could be well restored and regenerated.
Humans ; Peri-Implantitis/etiology* ; Follow-Up Studies ; Bone Regeneration ; Guided Tissue Regeneration, Periodontal/methods* ; Dental Plaque/prevention & control* ; Male ; Female ; Dental Implants/adverse effects*

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To evaluate the lung ultrasound characteristics of mycoplasma pneumoniae pneumonia in children and to investigate the value of lung ultrasound monitoring in clinical diagnosis and treatment.Methods:A retrospective analysis of 62 children with mycoplasma pneumoniae pneumonia admitted to Xi'an Chest Hospital from 7 November to 30 November 2023 was performed，and the characteristic parameters of bedside lung ultrasound and their related clinical data were collected. Pathological lung ultrasound features such as interrupted pleural line，well-spaced B-lines，coalescent B-lines，small subpleural patchy pulmonary consolidation，large pulmonary consolidation and pleural effusion in 12 scan areas of both lungs were observed. The maximum upper and lower diameters，right and left diameters，and anterior and posterior diameters of the large pulmonary consolidations were measured，and the changes in the above signs before and after treatment were measured and compared.Results:In sixty-two children with mycoplasma pneumoniae pneumonia，including 32 males and 30 females，with a mean age of（8.18 ± 2.05）years old and a mean hospital stay of（8.79 ± 2.93）days，lung ultrasound showed interrupted pleural line，well-spaced B-lines，coalescent B-lines，small subpleural patchy pulmonary consolidation，large pulmonary consolidation and pleural effusion，with the incidence of 93.5%（58 /62），33.9%（21/62），32.3%（20/62），59.7%（37/62），66.1%（41/62）and 17.7%（11/62），respectively，in which the large pulmonary consolidations presented rich blood supply were more common in the L6 and L4 areas，while the pleural effusions were more common in the L6 area.The signs of interrupted pleural line，coalescent B-lines，large pulmonary consolidation and pleural effusion were significantly improved after treatment compared with before treatment（all P<0.05）. The upper and lower diameters，left and right diameters，and anterior and posterior diameters of large pulmonary consolidations were significantly reduced after treatment compared with before treatment［（4.19 ± 2.42）cm vs.（2.84 ± 2.31）cm， t=2.613， P=0.011；（2.80 ± 1.82）cm vs.（1.96 ± 1.62）cm， t=2.226， P=0.029；（3.41 ± 2.11）cm vs.（2.12 ± 1.82）cm， t=2.972， P=0.004］.With the process of treatment，the dynamic observation of lung ultrasound showed that the well-spaced B-lines/coalescent B-lines gradually decreased until they completely disappeared or a small number of B-lines remained，and the area of the large pulmonary consolidation showed a dynamic downward trend（all P<0.001），and the area of large pulmonary consolidations gradually decreased until they completely disappeared or only small subpleural patchy pulmonary consolidations and well-spaced/coalescent B-lines remained，and at the same time，the pleural effusion gradually absorbed until it disappeared. Conclusions:Lung ultrasound can detect the distribution area of lung lesions，morphology and blood supply characteristics of children with mycoplasma pneumoniae pneumonia，as well as the dynamic changes after treatment，and lung ultrasound can dynamically monitor and evaluate the progression and regression of the disease in real time，providing a reliable imaging evidence for clinical practice.

Objective To investigate the application value of spectral CT multi-quantitative parameters combined with clinical characteristics in predicting high-risk gastroesophageal varices(GOV)in patients with liver cirrhosis.Methods The results of upper abdominal spectral CT enhancement and electronic gastroscopy in 112 patients diagnosed with liver cirrhosis were analyzed retrospec-tively,and the clinical data were collected.According to the gastroscopic manifestations,the patients were divided into high-risk GOV group(n=74)and low-risk GOV group(n=38).Univariate analysis was used to compare the spectral CT quantitative parameters and clinical characteristics between the two groups.Multivariate logistic regression analysis was used to screen the independent risk factors for high-risk GOV.R software was used to construct a nomogram model for predicting high-risk GOV,and the differentia-tion,calibration and clinical practicability of the prediction model were evaluated.Results The normalized iodine concentration(NIC)of liver left lobe,prothrombin time(PT),albumin(ALB)and liver function grading were independent risk factors for high-risk GOV(P＜0.05).The area under the curve(AUC)of receiver operating characteristic(ROC)curve of predicting high-risk GOV in nomo-gram model was 0.893.Calibration curve showed that the predicted results were basically consistent with the actual results.Decision curve analysis(DCA)showed that the prediction model had good clinical practicability.Conclusion The nomogram model based on NIC of liver left lobe,PT,ALB and liver function grading is helpful to predict patients with high-risk GOV in liver cirrhosis,and pro-vides a reference for clinical prevention and treatment of esophagogastric variceal bleeding(EVB).

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To investigate the application value of spectral CT multi-quantitative parameters combined with clinical characteristics in predicting high-risk gastroesophageal varices(GOV)in patients with liver cirrhosis.Methods The results of upper abdominal spectral CT enhancement and electronic gastroscopy in 112 patients diagnosed with liver cirrhosis were analyzed retrospec-tively,and the clinical data were collected.According to the gastroscopic manifestations,the patients were divided into high-risk GOV group(n=74)and low-risk GOV group(n=38).Univariate analysis was used to compare the spectral CT quantitative parameters and clinical characteristics between the two groups.Multivariate logistic regression analysis was used to screen the independent risk factors for high-risk GOV.R software was used to construct a nomogram model for predicting high-risk GOV,and the differentia-tion,calibration and clinical practicability of the prediction model were evaluated.Results The normalized iodine concentration(NIC)of liver left lobe,prothrombin time(PT),albumin(ALB)and liver function grading were independent risk factors for high-risk GOV(P＜0.05).The area under the curve(AUC)of receiver operating characteristic(ROC)curve of predicting high-risk GOV in nomo-gram model was 0.893.Calibration curve showed that the predicted results were basically consistent with the actual results.Decision curve analysis(DCA)showed that the prediction model had good clinical practicability.Conclusion The nomogram model based on NIC of liver left lobe,PT,ALB and liver function grading is helpful to predict patients with high-risk GOV in liver cirrhosis,and pro-vides a reference for clinical prevention and treatment of esophagogastric variceal bleeding(EVB).

Objective:To evaluate the lung ultrasound characteristics of mycoplasma pneumoniae pneumonia in children and to investigate the value of lung ultrasound monitoring in clinical diagnosis and treatment.Methods:A retrospective analysis of 62 children with mycoplasma pneumoniae pneumonia admitted to Xi'an Chest Hospital from 7 November to 30 November 2023 was performed，and the characteristic parameters of bedside lung ultrasound and their related clinical data were collected. Pathological lung ultrasound features such as interrupted pleural line，well-spaced B-lines，coalescent B-lines，small subpleural patchy pulmonary consolidation，large pulmonary consolidation and pleural effusion in 12 scan areas of both lungs were observed. The maximum upper and lower diameters，right and left diameters，and anterior and posterior diameters of the large pulmonary consolidations were measured，and the changes in the above signs before and after treatment were measured and compared.Results:In sixty-two children with mycoplasma pneumoniae pneumonia，including 32 males and 30 females，with a mean age of（8.18 ± 2.05）years old and a mean hospital stay of（8.79 ± 2.93）days，lung ultrasound showed interrupted pleural line，well-spaced B-lines，coalescent B-lines，small subpleural patchy pulmonary consolidation，large pulmonary consolidation and pleural effusion，with the incidence of 93.5%（58 /62），33.9%（21/62），32.3%（20/62），59.7%（37/62），66.1%（41/62）and 17.7%（11/62），respectively，in which the large pulmonary consolidations presented rich blood supply were more common in the L6 and L4 areas，while the pleural effusions were more common in the L6 area.The signs of interrupted pleural line，coalescent B-lines，large pulmonary consolidation and pleural effusion were significantly improved after treatment compared with before treatment（all P<0.05）. The upper and lower diameters，left and right diameters，and anterior and posterior diameters of large pulmonary consolidations were significantly reduced after treatment compared with before treatment［（4.19 ± 2.42）cm vs.（2.84 ± 2.31）cm， t=2.613， P=0.011；（2.80 ± 1.82）cm vs.（1.96 ± 1.62）cm， t=2.226， P=0.029；（3.41 ± 2.11）cm vs.（2.12 ± 1.82）cm， t=2.972， P=0.004］.With the process of treatment，the dynamic observation of lung ultrasound showed that the well-spaced B-lines/coalescent B-lines gradually decreased until they completely disappeared or a small number of B-lines remained，and the area of the large pulmonary consolidation showed a dynamic downward trend（all P<0.001），and the area of large pulmonary consolidations gradually decreased until they completely disappeared or only small subpleural patchy pulmonary consolidations and well-spaced/coalescent B-lines remained，and at the same time，the pleural effusion gradually absorbed until it disappeared. Conclusions:Lung ultrasound can detect the distribution area of lung lesions，morphology and blood supply characteristics of children with mycoplasma pneumoniae pneumonia，as well as the dynamic changes after treatment，and lung ultrasound can dynamically monitor and evaluate the progression and regression of the disease in real time，providing a reliable imaging evidence for clinical practice.

Objective:To explore the utility of applying low frequency transcranial magnetic stimulation (rTMS) in the acute stage of ischemic stroke in terms of improving upper limb motor function.Methods:Eighty ischemic stroke survivors in the acute stage were randomly divided into a control group and an experimental group, with 40 in each. In addition to routine rehabilitation, the experimental group was given low frequency rTMS, while the control group was provided with sham rTMS. Before and after 4-weeks of treatment, upper limb motor function was evaluated using the Fugl-Meyer rating scale (FMA), Wolf motor function tests (WMFTs), the modified Barthel index (MBI) and in terms of motor evoked potential (MEP) latency and amplitude.Results:There were no significant differences between the two groups before the treatment. Afterward, however, the average FMA, WMFT, MBI scores had improved significantly more in the experimental group, on average, as had the average MEP amplitude.Conclusion:Low frequency rTMS in the acute phase of ischemic stroke can improve upper limb motor function and ability in the activities of daily living.