Objective:To construct classification models of traumatic brain injury (TBI) based on the injury data collected at the scene of the accidents and validate its efficacy.Methods:A retrospective cohort study was conducted to analyze the pre-hospital treatment data of 368 TBI patients admitted to the Second Affiliated Hospital of Army Military Medical University from January 2019 to December 2023, including 243 males and 125 females, aged 18-82 years [(48.1±20.8)years]. The patients′ Glasgow coma scale (GCS) scores were 3-15 points [11.0(3.0, 15.0)points] at emergency medical service arrival. The patients were randomly assigned to the training set ( n=257) and test set ( n=111) at a ratio of 7∶3. According to the admission diagnosis, the patients fell into the mild TBI group ( n=62), medium TBI group ( n=137), severe TBI group ( n=120), and extremely severe TBI group ( n=49). In the training set, 44 patients fell into mild TBI group, 98 into medium TBI group, 82 into severe TBI group and 33 into extremely severe TBI group, while in the test set, 18 patients fell into mild TBI group, 39 into medium TBI group, 38 into severe TBI group and 16 into extremely severe TBI group. The following 12 kinds of injury data, including MARCH [massive hemorrhage (M), airway obstruction (A), respiratory failure (R), circulatory failure (C) and hypothermia (H)], GCS, pre-hospital index (PHI), shock index (SI), reverse SI multiplied by GCS (rSIG), optic nerve sheath diameter (ONSD) measured by ultrasound, scalp and skull injuries were collected at the scene of the accidents. Three machine algorithm including random forest (RF), support vector machine (SVM) and logistic regression (LR) were used to construct scene data-based TBI classification models. The accuracy rate, precision rate, recall rate, F1 value and area under receiver operating characteristic (ROC) curve (AUC) of the 3 models were used to verify the efficiency of the models for TBI classification. Shapley additive explanations (SHAP) method was used to interpret the results of the optimal model. The 12 kinds of injury data in the models were sorted according to their contribution to the TBI classification and the injury data with greater contribution were selected. Results:In the test set, the accuracy rate of the RF, SVM and LR models was 0.93, 0.92 and 0.87, respectively; the precision rate was 0.93, 0.92 and 0.89, respectively; the recall rate was 0.93, 0.92 and 0.87, respectively; the F1 value was 0.93, 0.92 and 0.87, respectively. In the mild, medium, severe and extremely severe TBI groups in the test set, the AUC of the RF model was 0.96 (95% CI 0.92, 0.98), 0.98 (95% CI 0.94, 0.99), 0.97 (95% CI 0.95, 0.98), and 0.97 (95% CI 0.96, 0.98), respectively; the AUC of the SVM model was 0.90 (95% CI 0.88, 0.94), 0.95 (95% CI 0.92, 0.97), 0.96 (95% CI 0.94, 0.98), and 0.95 (95% CI 0.92, 0.99), respectively; the AUC of the LR model was 0.90 (95% CI 0.83, 0.96), 0.90 (95% CI 0.84, 0.95), 0.96 (95% CI 0.95, 0.98), and 0.95 (95% CI 0.94, 0.97), respectively. The RF model demonstrated optimal discriminative performance for TBI classification. As the SHAP′s interpretation of the RF model indicated, among the 12 kinds of injury data, those with greater contributions to the TBI classification were GCS, rSIG, SI, PHI, respiratory failure, ONSD, and circulatory failure in sequence. Conclusions:Of the scene data-based TBI classification models, the RF model achieves good predictive performance for TBI classification when compared with the SVM model and LR model. Besides, GCS, rSIG, SI, PHI, respiratory failure, ONSD and circulatory failure contribute significantly to the classification of TBI in the RF model, which may assist emergency medical personnel in field triage and management of TBI at accident scenes.

Prolonged disorders of consciousness(pDoC)are complex and prolonged conditions that severely impact patient prognosis and remain a clinical treatment challenge.In recent years,neural regulation-based awakening therapies have been widely applied in the assessment and treatment of pDoC patients.Repetitive transcranial magnetic stimulation(rTMS)technology can regulate neural activity and improve patients'consciousness states,demonstrating positive awakening effects for pDoC patients.However,the optimal stimulation parameters and awakening mechanisms of rTMS remain unclear.This article reviews the pathological mechanisms of pDoC,clinical applications of rTMS at different targeting sites and stimulation frequencies,and focuses on exploring how rTMS promotes consciousness recovery through neural mechanisms such as altering neural pathways,reshaping brain networks,promoting synaptic plasticity and neurotransmitter release,regulating neurotrophic factor expression,and modulating cerebral hemodynamics.Based on artificial intelligence,the article also prospects the future clinical research applications of rTMS.

The goal of the research was to evaluate the application of self-developed virtual simulation software of fiber post all-ce-ramic crown restoration in the teaching of dental undergraduates.Fifty-five undergraduates majoring in stomatology were enrolled,including 26 sophomores and 29 senior students.Theoretical lecture and virtual simulation software of fiber post all-ceramic crown restoration were used for teaching.After class,questionnaires were completed by the students.The results of the questionnaire showed that more than half of the students were very interested in the virtual simulation software of this course(56.36％),and try-ing other forms of virtual simulation courses(52.73％).The simulation stimulated their interest in in-depth learning of prosthodon-tics(52.73％)and their expectation for the future working environment(54.55％).They were very satisfied with the virtual simula-tion effect(52.73％).Compared with two different grades,there are significant differences in the statistical data of three survey questions,including whether they are interested in in-depth study of prosthodontics,whether they have expectations for the future working environment,and whether they can clearly understand basic anatomical structure of teeth and basic concepts such as post,core and root canal.There was no significant difference in other questionnaire between grades.The virtual simulation software of fi-ber post all-ceramic crown restoration has a good effect on the teaching of dental undergraduates,which worth carrying out and pro-moting in the future teaching work.

Objective:To investigate the clinical efficacy of strengthening the spleen to nourish the lung in treating stable chronic obstructive pulmonary disease (COPD) with lung and spleen qi deficiency complicated by sarcopenia. Methods:This study was designed as a prospective study. A total of 65 patients with stable COPD and sarcopenia who received treatment at Kunshan Hospital of Chinese Medicine from January 2021 to December 2021 were included in the study. They were randomly divided into a control group and an observation group using the random number table method. The control group ( n = 34) was treated with conventional therapy, while the observation group ( n = 31) was treated with Shenling Baizhu Powder, a traditional Chinese medication based on the principle of strengthening the spleen to nourish the lung, in addition to the conventional therapy given to the control group. Both groups were treated for 1 month. Traditional Chinese medicine syndrome score, pulmonary function, grip strength, walking speed, albumin and prealbumin levels were compared between the two groups. Results:After treatment, the scores of all traditional Chinese medicine syndromes in the observation group were significantly lower than those in the control group (all P < 0.05). Compared with the control group, the levels of forced expiratory volume in the first second (FEV 1)[(1.51 ± 0.27) L vs. (1.32 ± 0.20) L, t = 3.11, P < 0.001 ] and FEV 1/forced vital capacity (FVC) [(57.20 ± 8.41)% vs. (52.89 ± 5.66)%, t = 2.30, P = 0.025] were significantly higher in the observation group. Compared with before treatment, gait speed [(1.07 ± 0.27) m/s vs. (0.90 ± 0.30) m/s, t = 7.66, P < 0.001], grip strength [(20.62 ± 5.07) kg vs. (19.42 ± 5.78) kg, t = 3.55, P < 0.001], albumin [(231.38 ± 49.40) g/L vs. (200.26 ± 65.87) g/L, t = 3.70, P < 0.001] and prealbumin [(39.53 ± 3.45) g/L vs. (35.81 ± 4.46) g/L, t = 4.08, P < 0.001] levels in the observation group were significantly increased after treatment. There were no significant differences in gait speed, grip strength, albumin, and prealbumin levels in the control group before and after treatment (all P > 0.05). Conclusions:The method of strengthening the spleen to nourish the lung shows good clinical efficacy in treating stable COPD with lung and spleen deficiency complicated by sarcopenia, and it has great potential for broader application.

The goal of the research was to evaluate the application of self-developed virtual simulation software of fiber post all-ce-ramic crown restoration in the teaching of dental undergraduates.Fifty-five undergraduates majoring in stomatology were enrolled,including 26 sophomores and 29 senior students.Theoretical lecture and virtual simulation software of fiber post all-ceramic crown restoration were used for teaching.After class,questionnaires were completed by the students.The results of the questionnaire showed that more than half of the students were very interested in the virtual simulation software of this course(56.36％),and try-ing other forms of virtual simulation courses(52.73％).The simulation stimulated their interest in in-depth learning of prosthodon-tics(52.73％)and their expectation for the future working environment(54.55％).They were very satisfied with the virtual simula-tion effect(52.73％).Compared with two different grades,there are significant differences in the statistical data of three survey questions,including whether they are interested in in-depth study of prosthodontics,whether they have expectations for the future working environment,and whether they can clearly understand basic anatomical structure of teeth and basic concepts such as post,core and root canal.There was no significant difference in other questionnaire between grades.The virtual simulation software of fi-ber post all-ceramic crown restoration has a good effect on the teaching of dental undergraduates,which worth carrying out and pro-moting in the future teaching work.

Objective:To investigate the clinical efficacy of strengthening the spleen to nourish the lung in treating stable chronic obstructive pulmonary disease (COPD) with lung and spleen qi deficiency complicated by sarcopenia. Methods:This study was designed as a prospective study. A total of 65 patients with stable COPD and sarcopenia who received treatment at Kunshan Hospital of Chinese Medicine from January 2021 to December 2021 were included in the study. They were randomly divided into a control group and an observation group using the random number table method. The control group ( n = 34) was treated with conventional therapy, while the observation group ( n = 31) was treated with Shenling Baizhu Powder, a traditional Chinese medication based on the principle of strengthening the spleen to nourish the lung, in addition to the conventional therapy given to the control group. Both groups were treated for 1 month. Traditional Chinese medicine syndrome score, pulmonary function, grip strength, walking speed, albumin and prealbumin levels were compared between the two groups. Results:After treatment, the scores of all traditional Chinese medicine syndromes in the observation group were significantly lower than those in the control group (all P < 0.05). Compared with the control group, the levels of forced expiratory volume in the first second (FEV 1)[(1.51 ± 0.27) L vs. (1.32 ± 0.20) L, t = 3.11, P < 0.001 ] and FEV 1/forced vital capacity (FVC) [(57.20 ± 8.41)% vs. (52.89 ± 5.66)%, t = 2.30, P = 0.025] were significantly higher in the observation group. Compared with before treatment, gait speed [(1.07 ± 0.27) m/s vs. (0.90 ± 0.30) m/s, t = 7.66, P < 0.001], grip strength [(20.62 ± 5.07) kg vs. (19.42 ± 5.78) kg, t = 3.55, P < 0.001], albumin [(231.38 ± 49.40) g/L vs. (200.26 ± 65.87) g/L, t = 3.70, P < 0.001] and prealbumin [(39.53 ± 3.45) g/L vs. (35.81 ± 4.46) g/L, t = 4.08, P < 0.001] levels in the observation group were significantly increased after treatment. There were no significant differences in gait speed, grip strength, albumin, and prealbumin levels in the control group before and after treatment (all P > 0.05). Conclusions:The method of strengthening the spleen to nourish the lung shows good clinical efficacy in treating stable COPD with lung and spleen deficiency complicated by sarcopenia, and it has great potential for broader application.

Objective:To construct classification models of traumatic brain injury (TBI) based on the injury data collected at the scene of the accidents and validate its efficacy.Methods:A retrospective cohort study was conducted to analyze the pre-hospital treatment data of 368 TBI patients admitted to the Second Affiliated Hospital of Army Military Medical University from January 2019 to December 2023, including 243 males and 125 females, aged 18-82 years [(48.1±20.8)years]. The patients′ Glasgow coma scale (GCS) scores were 3-15 points [11.0(3.0, 15.0)points] at emergency medical service arrival. The patients were randomly assigned to the training set ( n=257) and test set ( n=111) at a ratio of 7∶3. According to the admission diagnosis, the patients fell into the mild TBI group ( n=62), medium TBI group ( n=137), severe TBI group ( n=120), and extremely severe TBI group ( n=49). In the training set, 44 patients fell into mild TBI group, 98 into medium TBI group, 82 into severe TBI group and 33 into extremely severe TBI group, while in the test set, 18 patients fell into mild TBI group, 39 into medium TBI group, 38 into severe TBI group and 16 into extremely severe TBI group. The following 12 kinds of injury data, including MARCH [massive hemorrhage (M), airway obstruction (A), respiratory failure (R), circulatory failure (C) and hypothermia (H)], GCS, pre-hospital index (PHI), shock index (SI), reverse SI multiplied by GCS (rSIG), optic nerve sheath diameter (ONSD) measured by ultrasound, scalp and skull injuries were collected at the scene of the accidents. Three machine algorithm including random forest (RF), support vector machine (SVM) and logistic regression (LR) were used to construct scene data-based TBI classification models. The accuracy rate, precision rate, recall rate, F1 value and area under receiver operating characteristic (ROC) curve (AUC) of the 3 models were used to verify the efficiency of the models for TBI classification. Shapley additive explanations (SHAP) method was used to interpret the results of the optimal model. The 12 kinds of injury data in the models were sorted according to their contribution to the TBI classification and the injury data with greater contribution were selected. Results:In the test set, the accuracy rate of the RF, SVM and LR models was 0.93, 0.92 and 0.87, respectively; the precision rate was 0.93, 0.92 and 0.89, respectively; the recall rate was 0.93, 0.92 and 0.87, respectively; the F1 value was 0.93, 0.92 and 0.87, respectively. In the mild, medium, severe and extremely severe TBI groups in the test set, the AUC of the RF model was 0.96 (95% CI 0.92, 0.98), 0.98 (95% CI 0.94, 0.99), 0.97 (95% CI 0.95, 0.98), and 0.97 (95% CI 0.96, 0.98), respectively; the AUC of the SVM model was 0.90 (95% CI 0.88, 0.94), 0.95 (95% CI 0.92, 0.97), 0.96 (95% CI 0.94, 0.98), and 0.95 (95% CI 0.92, 0.99), respectively; the AUC of the LR model was 0.90 (95% CI 0.83, 0.96), 0.90 (95% CI 0.84, 0.95), 0.96 (95% CI 0.95, 0.98), and 0.95 (95% CI 0.94, 0.97), respectively. The RF model demonstrated optimal discriminative performance for TBI classification. As the SHAP′s interpretation of the RF model indicated, among the 12 kinds of injury data, those with greater contributions to the TBI classification were GCS, rSIG, SI, PHI, respiratory failure, ONSD, and circulatory failure in sequence. Conclusions:Of the scene data-based TBI classification models, the RF model achieves good predictive performance for TBI classification when compared with the SVM model and LR model. Besides, GCS, rSIG, SI, PHI, respiratory failure, ONSD and circulatory failure contribute significantly to the classification of TBI in the RF model, which may assist emergency medical personnel in field triage and management of TBI at accident scenes.

Objective:To compare the aortic remodeling of the Fabulous stent system and standard thoracic aortic endovascular repair (TEVAR) on distal aorta type B aortic dissection (TBAD). Methods:The prospective data collected between Dec 2017 and Oct 2019 from 134 patients with type B aortic dissection (TBAD) who underwent treatment with the "Fabulous" stent system, and retrospective data from 159 TBAD patients receiving standard TEVAR from corresponding multicenter. By using propensity score matching analysis, we compared the prognosis and aortic remodeling outcomes in patients undergoing Fabulous and standard TEVAR treatments during a 1-year postoperative follow-up.Results:In this study, 62 patients in Fabulous group and 62 patients in standard TEVAR were included.There were no significant statistical differences in baseline characteristics between the two groups. In terms of aortic remodeling in bare stent region, Fabulous group had better change trends of diameter of true lumen [10.6 (4.4, 14.5) mm vs. 4.7 (0.9, 10.7) mm, P=0.001] and false lumen [-24.2 (-30.5, -4.9) mm vs. 0.7 (-11.8, 2.3) mm, P<0.001] than those in the standard TEVAR group. The rate of complete false lumen thrombosis was also higher in the Fabulous group (62.9% vs. 37.1%, P=0.042). Conclusion:The Fabulous stent system, when compared to standard TEVAR surgery, demonstrates good aortic remodeling outcomes in the distal aorta.

Anaplastic thyroid carcinoma(ATC)is the most aggressive malignancy with poor prognosis.The pathogenesis of ATC is complex,and there is no effective treatment at present.In recent years,with the deep understanding of the genetic(such as BRAF V600E,TP53,TERT,PIK3CA mutations,etc.)and epigenetic(such as histone methylation,histone deacetylation,microRNA regulatory pathways,etc.)changes driving ATC,molecular targeted therapy has brought new hope to ATC patients.This article reviews the molecular mechanisms of ATC and the latest achievements in targeted therapy and other therapies.

Objective:To investigate the expression of HBB in anaplastic thyroid cancer(ATC)cells and its regulatory effect on proliferation,invasion,migration and apoptosis of ATC cells and its potential mechanism.Methods:The expression of HBB in thyroid cancer and paracancerous tissues was analyzed through TIMER database.The correlation between the expression of HBB and the overall survival time of thyroid cancer patients was analyzed through KM-plotter database.The expression of HBB mRNA in ATC cells was detected by RT-qPCR.The HBB knockout or overexpression plasmid was transfected into ATC cells.The expression of HBB protein was detected by Western blot.The proliferation activity was detected by CCK-8 assay.The migration and invasion ability was detected by Transwell assay.The apoptosis was detected by flow cytometry.The expression of β-catenin was detected by Western blot.Results:The expression of HBB was low in thyroid cancer,and the overall survival time of patients with high expression of HBB was high.The expression of HBB protein was down-regulated in ATC cells.Knockout of HBB increased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and inhibited apoptosis.However,overexpression of HBB decreased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and promoted apoptosis.Conclusions:High HBB expression is associated with higher overall survival in patients with thyroid cancer.It may inhibit the proliferation,migration and invasion of ATC cells and promote apoptosis through Wnt/β-catenin signal pathway.