BACKGROUND:The sports medicine community has widely called for the use of machine learning technology to efficiently process the huge and complicated sports data resources,and construct intelligent sports injury prediction models,enabling accurate early warning of sports injuries.It is of great significance to comprehensively summarize and review such research results so as to grasp the direction of early warning model improvement and to guide the construction of sports injury prediction models in China. OBJECTIVE:To systematically review and analyze relevant research on sports injury prediction models based on machine learning technology,thereby providing references for the development of sports injury prediction models in China. METHODS:Literature search was conducted on CNKI,Web of Science and EBSCO databases,which mainly searched for literature related to machine learning techniques and sports injuries.Finally,61 articles related to sports injury prediction models were included for analysis. RESULTS AND CONCLUSION:(1)In terms of external risk feature indicators,there is a lack of competition scenario indicators,and the inclusion of related feature indicators needs to be further improved to further enrich the dimensions of the dataset for model training.In addition,the inclusion feature weighting methods of the sports injury prediction model are mainly based on filtering methods and the use of embedding and wrapping weighting methods needs to be strengthened in order to enhance the analysis of the interaction effects of multiple risk factors.(2)In terms of model body training,supervised learning algorithms become the mainstream choice.Such algorithms have higher requirements for the completeness of sample labeling information,and the application scenarios are easily limited.Therefore,the application of unsupervised and semi-supervised algorithms can be increased in the later stage.(3)In terms of model performance evaluation and optimization,the current studies mainly adopt two verification methods:HoldOut crossover and k-crossover.The range of AUC values is(0.76±0.12),the range of sensitivity is(75.92±11.03)%,the range of specificity is(0.03±4.54)%,the range of F1 score is(80.60±10.63)%,the range of accuracy is(69.96±13.10)%,and the range of precision is(70±14.71)%.Data augmentation and feature optimization are the most common model optimization operations.The accuracy and precision of the current sports injury prediction model are about 70%,and the early warning effect is good.However,the model optimization operation is relatively single,and data augmentation methods are often used to improve model performance.Further adjustments to the model algorithm and hyperparameters are needed to further improve model performance.(4)In terms of model feature extraction,most of the internal risk profile indicators included are mainly based on anthropometrics,training load,years of training,and injury history,but there is a lack of sports recovery and physical function indicators.

Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

This study aimed to investigate the anti-inflammatory and antioxidant effects of atractylon on lipopolysaccharide (LPS)-induced acute lung injury (ALI) in mice. Changes in lung function parameters were measured in mice after intraperitoneal administration of atractylon. Pathological changes in lung tissue were observed by H&E staining, and the degree of pulmonary edema was assessed by the lung wet/dry weight ratio (W/D). Kit assays were used to detect changes in oxidative stress markers in mouse serum and the protein concentration in bronchoalveolar lavage fluid (BALF). ELISA was employed to measure the expression levels of inflammatory cytokines in BALF and serum. Western blot was used to detect the expression levels of proteins related to the cGAS-STING pathway and vascular cell adhesion molecule-1 (VCAM-1) in lung tissue. Results showed that, compared to the ALI model group, mice in the low-dose and high-dose atractylon groups exhibited significant improvement in lung function parameters, alleviated pulmonary edema, and reduced inflammatory cell infiltration in lung tissue. Protein content and inflammatory cytokine levels in serum and BALF were decreased, while serum oxidative stress indicators were improved. Western blot results further indicated that atractylon could regulate the cGAS-STING pathway, blocking the generation of inflammatory signals, and simultaneously inhibit VCAM-1 expression, thereby reducing pulmonary vascular injury. The results suggest that atractylon may alleviate LPS-induced ALI by modulating the cGAS-STING signaling pathway, reducing the expression of pro-inflammatory cytokines and the production of pro-inflammatory mediators, and improving vascular endothelial injury. This study provides a new potential target and theoretical basis for the treatment of ALI, as well as a potential drug candidate for ALI therapy.

Objective To analyze the risk of return to sport in athletes using their gait data following anterior cruciate ligament re-construction(ACLR). Methods From May to June,2023,39 athletes after ACLR were recruited in Wuhan Sports University.Their data on sta-ble gait and tandem gait were recorded using a three-dimensional motion capture system,surface electromyogra-phy and a three-dimensional ergometer table.Additionally,return-to-sport scores were calculated using the K-STARTS test.The relationship between each gait indicator and the total score of the K-STARTS test was ana-lyzed with Pearson correlation analysis.Furthermore,the key indicators related to the risk of return to sport were analyzed using linear regression. Results In the stable gait test,the step time was negatively correlated with the total score of K-STARTS(r=-0.479,P=0.002),and the peak amplitude symmetry index of rectus femoris(r=0.448,P=0.004)and vastus lateralis(r=0.595,P=0.001)were positively correlated with the total score of K-STARTS.In the tandem gait test,the lateral displacement distance of the center of gravity was negatively correlated with the total score of K-STARTS(r=-0.341,P=0.034),and the time symmetry index of peak amplitude of vastus lateralis was positively correlated with the total score of K-STARTS(r=0.320,P=0.047).Regression analysis showed that the interpretation of the model based on stable gait(F=15.818,P=0.001,R2=0.650)was better than that based on tandem gait(F=7.692,P=0.001,R2=0.397). Conclusion In stable gait,gait rhythm variability and symmetry are correlated with return to sport risk.In tandem gait,gait balance and symmetry indexes are correlated with return-to-sport risk.Compared with tandem gait,the inter-pretation of return-to-sport risk assessment model based on stable gait information is better,and may be more suitable as a simple return-to-sport risk test method.

Objective To investigate changes of muscle activation in the lower limbs during landing impact as running fatigue pro-gresses. Methods From November to December,2022,eleven male runners were recruited from Wuhan Sports University.They performed a steady-state run at 75%of their maximum heart rate and continued until Borg rating score≥17 or 90%of their maximum heart rate.Muscle activity data were collected using a Delsys wireless surface electromy-ography system,continuously recording the EMG of the quadriceps(vastus medialis,rectus femoris,vastus later-alis),hamstrings(biceps femoris,semitendinosus),gluteus maximus,lateral head of the gastrocnemius and tibia-lis anterior.The pre-activation,post-activation and co-activation characteristics of these lower limb muscles were analyzed. Results With fatigue accumulation during running,significant differences were observed in the pre-activation level of the tibialis anterior among different fatigue points(F=2.955,P=0.048),with the 100%fatigue point showing significantly higher pre-activation levels than the start(P=0.010);as well as post-activation levels of quadriceps(F=6.609,P=0.001),with higher levels at the 100%point compared to the start(P=0.011),33%(P=0.009)and 67%(P=0.043)fatigue points;co-activation ratios of ankle joint during the pre-activation phase(F=3.287,P=0.034),with a significantly higher co-activation ratio at the 100%fatigue point compared to the start(P=0.023). Conclusion As running fatigue accumulates,the central nervous system adjusts the activation levels of various lower limb muscles to modify impact posture,reducing the risk of injury from accumulated lower limb loads.

Objective:To observe any effect of percutaneous tibial nerve stimulation (PTNS) combined with electro-acupuncture on detrusor overactivity after a spinal cord injury.Methods:Forty spinal cord injury survivors with neurogenic detrusor overactivity were randomly assigned to a control group or an observation group, each of 20. Both groups received routine bladder training and electro-acupuncture modulating 3 sacral spinal nerves. The observation group also received 20 minutes of bilateral PTNS five times a week for 8 weeks. The frequency was 10Hz with a pulse width of 200μs. Before and after the treatment, both groups′ urination frequency, incontinence and average daily urine volume were assessed using a urodynamics analyzer, bladder diaries and an incontinence quality of life questionnaire (I-QOL).Results:After treatment, the average involuntary detrusor contraction volume (IDCV), maximum detrusor pressure at filling time (P det·max), bladder compliance (BC), residual volume and the TL value of the electromyogram of the urethral sphincter (LgTLR) had all improved significantly in both groups. The 1st IDCV, BC and LgTLR of the observation group were then significantly better than in the control group, on average, with the average P det·max and residual volume significantly lower than in the control group. The average daily single urine output and I-QOL score of both groups had increased significantly, while the average daily urination frequency and frequency of urinary incontinence had decreased significantly. Both were again significantly better in the observation group. Conclusion:Combining percutaneous electrical stimulation of the tibial nerves with electro-acupuncture can effectively inhibit detrusor overactivity after a spinal cord injury, reducing urinary incontinence.

0n December 31,2021,the Chinese Nursing Association released the group standard"nursing care of patients with infusion of vasoactive agents(T/CNAS 22-2021)",which outlines the fundamental requirements for intravenous infusion of vasoactive drugs and standardizes the evaluation,administration,and monitoring.This article provides an interpretation of the key parts and sections of the standard to ensure nursing safety during the administration of vasoactive drugs,aiming to reduce complications.Additionally,it serves as a crucial reference for nurses during the administration of the medication.

Objective:To explore the changes in the synergy mode of human lower limb muscles during the fatigue run-ning,in order to reveal the mechanism by which the central system regulates lower limb movement to adapt to fatigue accumulation. Method:Eleven male runners received constant speed running fatigue intervention,and the electromyograph-ic data of the lower limb muscles was collected during the whole intervention process.The non-negative ma-trix factorization algorithm was used to extract analysis indicators such as the number of lower limb muscle synergists,the peak activation time of muscle synergists,and the muscle relative weight at different interven-tion times. Result:A total of six types of muscle synergists were analyzed throughout the entire process of running fa-tigue intervention to dominate human lower limb joint activities,but each subject would only randomly mobi-lize four to five of them at different fatigue moments,and the number of muscle synergists participating in each fatigue moment had no significant change(P＞0.05).The peak activation time of synergy 1 decreased sig-nificantly at 33％、100％time(P＜0.05).The relative weight of semitendinosus of synergy 1 was significantly reduced at 33％、67％and 100％time(P＜0.05).The relative weight of rectus femoris of synergy 2 decreased significantly at 33％time(P＜0.05).The relative weight of biceps femoris of synergy 4 decreased significantly at 67％time(P＜0.05),but increased significantly at 100％time(P＜0.05). Conclusion:In the process of running fatigue,the human central system will regulate the muscle synergy mode of lower limbs to adapt to fatigue accumulation and reduce the risk of lower limb injury.The specific performance of this regulation process includes:stabilizing the number of lower limb muscle synergists in-volved,reducing the peak activation time of muscle synergists in the early stance stage,dynamically adjusting the relative weight of rectus femoris and semitendinosus in the early stance stage and biceps femoris in the middle swing stage.

ObjectiveTo investigate the difference in bilateral lower limb muscle synergy mode during gait in patients after unilateral anterior cruciate ligament reconstruction. MethodsElectromyography from bilateral lower limb muscles during gait were collected from twelve male and eight female patients after unilateral anterior cruciate ligament reconstruction in Affiliated Hospital of Wuhan Sports University, from April to June, 2023. The data were analyzed using non-negative matrix decomposition algorithm to extract the number of muscle synergies in the affected and unaffected legs, the time to peak activation of muscle synergies and the relative weights of the muscles. ResultsSix types of muscle synergy were identified in the unaffected leg of males during gait, while five types were identified in the affected leg, lacking synergy 2 that mainly from the tibialis anterior muscle. Six types of muscle synergy were identified in both legs in females during gait. There was no significant difference in the time to peak activation of muscle synergies between both legs in males (P > 0.05). However, the time to peak activation of muscle synergies increased in females in the affected leg for synergy 3 and synergy 5 (P < 0.05). The relative weight of the rectus femoris was lower in synergy 1 in the affected leg in males (P < 0.05). For female, the relative weight of the vastus lateralis was higher and the relative weight of the biceps femoris was lower in synergy 2 in the affected leg in females (P < 0.05); while the relative weight of the rectus femoris was lower in synergy 3 (P < 0.05), and the relative weight of the biceps femoris was lower in synergy 6 (P < 0.05). ConclusionMales would freeze the muscle synergy dominating ankle dorsiflexion in affected leg to enhance ankle stability, and reduce the relative weight of rectus femoris during the loading response phase to weaken the knee landing cushioning. However, females would delay the activation of synergies dominating in loading response phase and the mid-stance phase, enhance the relative weight of vastus lateralis during the loading response phase, and reduce the relative weights of rectus femoris in the loading response phase and the relative weight of biceps femoris in the mid-stance phase, to limit knee flexion.