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.

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 study the causes of two Chinese families with Branchio-oto syndrome.Methods The clinical data of two families were collected,and the pathogenic genes and variants of Branchio-oto syndrome were screened and verified by whole exome sequencing and Sanger sequencing.Results Two proband patients were diagnosed with Branchio-oto syndrome.Proband 1 presented with preauricular and anterior cervical fistulas,as well as congenital severe sensorineural hearing loss.On the other hand,proband 2 displayed a preauricular fistula and an anterior cervical cyst.At the age of 5,progressive deterioration of binaural hearing was observed,leadingtothe cur-rent diagnosis of severe mixed deafness.Genetic analysis showed that proband 1 and 2 carried nonsense variants of EYA1 gene:NM_000503.6:c.1408G＞T(p.Glu470Ter),and c.889C＞T(p.Arg297Ter).According to the guide-lines of the American College of Medical Genetics and Genomics(ACMG),the above variants were rated as patho-genic variants.After reviewing the literature,the c.1408G＞T variant had not been previously reported,and the c.889C＞T is a known variant.Conclusion The variants c.1408G＞T(p.Glu470Ter)and c.889C＞T(p.Arg297Ter)of EYA1 gene are the cause of these two families with Branchio-oto syndrome.The first report of c.1408G＞T broadens the mutational spectrum of EYA1 gene and provids a clinical reference for the diagnosis of Branchio-oto syndrome.

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.

BACKGROUND:Transcranial direct current stimulation(tDCS),as a non-invasive brain stimulation technique,can enhance human muscle strength or improve single-leg landing stability instantly,but no relevant research has demonstrated this yet. OBJECTIVE:To investigate the effect of tDCS on the stability of single-leg landings in human subjects. METHODS:Male undergraduate students from Wuhan Sports University were recruited as study participants.They were divided into two groups,A(n=6)and B(n=5),using a random number table.Group A underwent a sham stimulation session followed by a 3-day washout period,after which they received tDCS.Conversely,Group B received tDCS initially,followed by a 3-day washout period,and subsequently underwent the sham stimulation session.Following the respective stimulation sessions,an immediate single-leg landing test was administered to assess and collect biomechanical parameters.Data resulting from the tDCS intervention were aggregated and analyzed as the experimental group dataset,whereas data stemming from the sham stimulation were consolidated as the control group dataset. RESULTS AND CONCLUSION:Regarding core stability,the tDCS intervention showed a significant interaction with landing height on the maximal trunk flexion angle(P＜0.05).A paired comparison of the data showed a significant decrease in the maximum trunk flexion angle following true stimulation compared to sham stimulation at a 30-cm landing height.Additionally,the tDCS intervention had a significant main effect on the maximum trunk lateral bending angle and the mean trunk lateral bending angular velocity(P＜0.05).Following true stimulation,there was a significant decrease in the maximum trunk lateral bending angle and the mean trunk lateral bending angular velocity compared to sham stimulation.In terms of lower limb joint stability,the tDCS intervention had a significant main effect on the maximum dynamic ankle valgus angle(P＜0.05).This resulted in a significant decrease in the angle following true stimulation compared to sham stimulation.In addition,the tDCS intervention had a significant main effect on the peak muscle activation of the lateral head of the gastrocnemius lateralis(P＜0.05).This showed a significant increase after true stimulation compared to sham stimulation.An interaction between the tDCS intervention and landing height was observed for the peak muscle activation of the tibialis anterior(P＜0.05).Paired comparison analyses revealed a significant increase in muscle activation after true stimulation specifically at a 60-cm landing height.Regarding center of pressure stability,there were no significant interactions or main effects of the tDCS intervention on the mean lateral displacement,mean lateral displacement velocity,mean anterior-posterior displacement,or mean anterior-posterior displacement velocity at the center of pressure(P＞0.05).Furthermore,the tDCS intervention had no significant main effects on any of the center of pressure indicators(P＞0.05).In conclusion,tDCS can immediately improve core stability and lower limb joint stability during single-leg landing,making it an effective warm-up technique for improving single-leg landing stability and reducing the risk of lower limb injuries.

Objective:To investigate the prevalence of cataracts, the surgical coverage, and postoperative visual acuity of adults in Ningxia.Methods:A cross-sectional study using multistage cluster random sampling was conducted.Ten survey sites in Ningxia were selected and the population aged 18 years and over was surveyed with questionnaire, height and weight measurements, visual acuity, intraocular pressure, fundus photography and slit-lamp examinations.Cataract prevalence and its influencing factors were analyzed.Cataract prevalence, surgical coverage and presenting visual acuity (PVA) and best corrected visual acuity (BCVA) after surgery were investigated in different age groups of the examined population.The study adhered to the Declaration of Helsinki and was approved by the Ethics Committee of the People's Hospital of Ningxia Hui Autonomous Region (No.[2023]-LL-010).Participants signed informed consent prior to the examination.Results:A total of 6 145 people should be examined, and 5 721 people were actually examined, with an examination rate of 93.10%.The study population consisted of 2 558 males, accounting for 44.71%, and 3 163 females, accounting for 55.28%, with ages ranging from 18 to 93 years old and an average age of (64.27±13.48) years.Among them, 1 180 patients diagnosed with cataract, with a cataract prevalence of 20.62%.The prevalence of cataract increased with age and decreased with education level, showing statistically significant differences ( χ2=1 091.32, 581.92; both at P<0.01).The prevalence of cataract was significantly higher among people with hypertension, diabetes mellitus, hyperlipidemia, and coronary heart disease than those without these diseases ( χ2=274.65, 118.15, 78.05, 182.71; all at P<0.01).Cataract surgery was performed in 245 cases in the cataract patient population, with a surgical coverage rate of 20.76%.Of the 245 cases, 229 cases were implanted with IOLs, with an implantation rate of 93.40%.The social burden rate of cataract blindness was 2.29%, and increased with age.Of the 339 eyes that underwent cataract surgery, 241 had a PVA≥0.3, accounting for 71.09%, and 272 had a BCVA≥0.3, accounting for 80.24%. Conclusions:In Ningxia, cataracts are still the main cause of vision impairment and blindness in the elderly, and the social burden rate of cataract blindness is high.Moreover, the coverage rate of cataract surgery is low, so both the coverage and quality of surgery need improvement.

OBJECTIVE To explore the pharmaceutical care model for elderly patients with drug-related problems （DRPs） based on the comprehensive medication management review （CMMR）， and to observe the effect of pharmaceutical care under the model. METHODS The pharmaceutical care new model for elderly patients was established by concerning CMMR guidelines in Australia. In other words， clinical pharmacists receive medical care through referral by health practitioners and active consultation by patients or their caregivers. Visits were made by a combination of face-to-face and telephone interviews. Follow-up was carried out in the form of outpatient follow-up， telephone follow-up， appointment， and home guidance to know about the treatment of DRPs by healthcare practitioners or patients.Under this model， the occurrence status and classification of DRPs in elderly patients were studied through cross-sectional investigation. The effect of pharmaceutical care was evaluated from the aspects of hospitalization rate， adverse drug reaction （ADR） incidence，medication compliance， the number of medications， blood lipid level， etc.， through self-before-after comparison. RESULTS In this study， a patient-centered， evaluation-intervention-reevaluation closed-loop pharmaceutical care model was formed. Among 317 study subjects， the average number of DRPs was 1.03 （0-7） cases. Compared before and after the intervention， the number of drug types increased from 2.00（0.00，3.00） to 2.00（1.00，3.00）， but the level of low-density lipoprotein cholesterin in patients decreased from 3.48 （2.58， 4.29） mmol/L to 3.11 （2.29，3.81） mmol/L （P＜0.05）. There was no statistical significance in hospitalization rate， ADR incidence within or medication compliance. CONCLUSIONS CMMR-based pharmaceutical care model can effectively identify and manage the patients’ DRPs and reduce the level of blood lipid.

With the increasing aging of our population， the incidence of drug-related problems among elderly patients in the community is gradually increasing. Drug-related problems can lead to an increased incidence of adverse health outcomes such as falls and frailty in elderly patients in the community. Medication review is one of the effective means of addressing drug-related problems. The medication review models in Europe and the United States have been developed for decades to address drug-related problems； medication review model in the United Kingdom focuses on the management of drug therapy for elderly patients in aged care facilities， while the medication review models in the United States and Australia have a broader scope（covering all elderly patients in the community）， and the frequency of medication reviews in the United States and Australia are clearer and more standardized. Compared with the above countries， China’s medication review model has a late start. Our country can learn from the advanced experience of the United Kingdom， the United States， Australia and other countries， actively explore and build a drug review model suitable for China’s national conditions， so as to improve the health level of elderly patients in the community and save social public medical resources.