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.

Background and Aims:Chronic skin ulcers are a significant disease affecting patients'daily lives and psychological well-being.Abnormalities in the cells and extracellular matrix within the tissue may disrupt the balance of the microenvironment,hindering the normal skin repair process and leading to delayed healing of the ulcer.There is currently a lack of research on the mechanisms underlying the development of chronic ulcers and their diagnostic biomarkers.Single-cell sequencing,a newly developed high-throughput sequencing method in recent years,uses gene sequencing at the single-cell resolution to precisely reveal disease mechanisms and has been applied in various diseases.This study used single-cell transcriptome sequencing(scRNA-Seq)to investigate the cellular heterogeneity in chronic skin ulcer tissue to elucidate the potential molecular mechanisms behind delayed healing and provide new insights for clinical treatment.Methods:The scRNA-Seq technology was used to compare the differences in cell subpopulations and gene expression between chronic ulcer tissue and normal skin tissue.Single cells were sorted using a microfluidic platform,and cDNA libraries were constructed for subsequent differential gene analysis and functional enrichment analysis.Results:scRNA-Seq analysis revealed significant immune-metabolic remodeling features in chronic ulcer tissue:the number of B cells,monocytes,and macrophages in ulcer tissue increased by 2.1 to 3.5 times compared to the normal tissue control.This was accompanied by widespread activation of collagen synthesis genes(COL1A1/COL3A1)and synergistic suppression of immune regulators(e.g.,granzyme family GZMA/GZMB/H).Cross-cell subpopulation functional network analysis showed that hypoxia response mediated by the HIF-1 signaling pathway and PI3K/Akt pathway abnormalities formed a positive feedback loop,exacerbating the imbalance in the secretion of inflammatory factors(CXCL3/8,TGFBI)and compensatory upregulation of mitochondrial oxidative phosphorylation.Conclusion:Chronic skin ulcers exhibit significant differences in cellular heterogeneity and gene expression,suggesting that chronic ulcers are not simply tissue defects but a complex pathological process dominated by chronic inflammation and immune dysregulation.The coordinated dysregulation of multiple cell subpopulations in the ulcer microenvironment,along with persistent inflammatory responses and metabolic abnormalities,is interconnected through the HIF-1/TNF/MAPK pathway network.Downregulation of granzyme gene family members and abnormal histone modifications may contribute to immune clearance defects,providing a theoretical basis for developing novel therapies targeting epigenetic regulation or mitochondrial function.

Objective:To investigate the alterations in voxel-mirrored homotopic connectivity (VMHC) of brain regions, association loop connectivity, and white matter microstructure in patients with white matter hyperintensities (WMH) of presumed vascular origin, and analyze the pathological basis of cognitive impairment in WMH patients.Methods:A prospective study was performed; 75 WMH patients (WMH group) admitted to Jiangsu Shengze Hospital Affiliated to Nanjing Medical University from January 2023 to September 2024 and 67 volunteers without obvious brain diseases (control group) recruited during the same period were enrolled. General data of these participants, and scores of neuropsychological scales such as mini-mental state examination (MMSE), frontal assessment battery (FAB), and trail making test (TMT) were compared between the two groups. Resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) data of all participants were collected; rs-fMRI data were then analyzed using VMHC algorithm to calculate and conform the brain regions with significantly different VMHC between the two groups, and these regions were used as seed points to perform functional connectivity with the whole brain; Pearson correlation analyses of VMHC and functional connectivity in these brain regions with scores of neuropsychological scales were performed. DTI data were processed using tract-based spatial statistics (TBSS) method to calculate and conform the brain regions with significantly different diffusion parameters of fiber tracts between the two groups; Pearson correlation analyses of diffusion parameters of the fiber tracts in these brain regions with scores of neuropsychological scales were performed.Results:(1) Comparison of general data and neuropsychological scale scores: proportion of participants with hypertension history was significantly different between the two groups ( P<0.05); scores of TMT-A, TMT-B, and Stroop C scales in the WMH group were significantly higher than those in the control group ( P<0.05). (2) Comparison of VMHC and seed point functional connectivity: compared with that in the control group, the VMHC in bilateral middle occipital gyrus, visual cortex, medial occipitotemporal gyrus, insula, and postcentral gyrus of the WMH group were statistically lower ( P<0.05). Compared with that in the control group, functional connectivity of right visual cortex with right middle temporal gyrus, bilateral precuneus, and right dorsolateral superior frontal gyrus in the WMH group was significantly weakened, and functional connectivity of right postcentral gyrus with right medial occipitotemporal gyrus, left middle temporal gyrus, left visual cortex, and left postcentral gyrus was statistically weakened ( P<0.05). In the WMH group, the VMHC of bilateral insula was negatively correlated with TMT-B score ( r=-0.381, P<0.001), and functional connectivity between right visual cortex and right dorsolateral superior frontal gyrus was negatively correlated with Stroop C score ( r=-0.401, P<0.001). (3) TBSS results: the diffusion parameters of the anterior corona radiata, superior corona radiata, corpus callosum, superior longitudinal fasciculus, and posterior thalamic radiation were statistically significant between the two groups ( P<0.05). In the WMH group, the fractional anisotropy in the genu of the corpus callosum was positively correlated with Stroop C score ( r=0.426, P<0.001), radial diffusivity was negatively correlated with Stroop C score ( r=-0.376, P<0.001), and mean diffusivity of the left anterior corona radiata was negatively correlated with TMT-A score ( r=-0.443, P<0.001). Conclusion:WMH patients have decreased coordination in homotopic brain regions and weakened functional connectivity of association loops, with widely distributed white matter microstructure damages, which may be involved in the neuropathological process of cognitive impairment.

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*

Objective To analyze the technical movement characteristics of female table tennis play-ers with shoulder impingement syndrome when hitting a forehand topspin loop ball,in order to explore the reasons for shoulder impingement syndrome.Methods Thirteen female table tennis athletes with shoulder impingement syndrome were recruited for the shoulder impingement group(age 20.31±2.56 years,height 165.69±4.00 cm,weight 56.62±6.00 kg)and 13 healthy female table tennis athletes(age 21.54±2.78 years,height 165.54±4.45 cm,weight 60.08±8.02 kg)were selected for the healthy group.Kinematic and electromyographic data of the upper limbs were collected during six tri-als of forehand topspin strokes using a three-dimensional motion capture system and a wireless surface electromyographic system.The data were then averaged and compared between the groups.Results The shoulder impingement group had a greater shoulder flexion angular velocity at the end of the forward swing compared to the healthy group(t=-3.689,P=0.001).In addition,the shoulder impingement group showed significantly smaller trunk torsion angular amplitude(t=2.614,P=0.015)and average an-gular velocity of trunk torsion(t=3.958,P=0.001).Furthermore,the peak activation level of the anteri-or serratus muscle was smaller in the shoulder impingement group compared to the healthy group(t=2.363,P=0.027).Finally,the deactivation duration of both the triceps brachii and brachioradialis mus-cles was shorter in the shoulder impingement group compared to the latter(t=3.705,P=0.002;t=3.29,P=0.004).Conclusion Female table tennis players with shoulder impingement syndrome exhibit the fol-lowing characteristics in their forehand topspin:1)insufficient trunk rotation and premature deactiva-tion of the brachioradialis muscle,which lead to excessive loading on the shoulder during flexion;2)inadequate activation of the serratus anterior muscle,resulting in compromised scapular stability;3)premature deactivation of the triceps brachii muscle,which negatively affects the control of eccentric contraction velocity at the shoulder joint.

BACKGROUND:The combination of traditional Chinese medicine syndrome and semen quality-related parameters can jointly predict the occurrence of abnormal increase in sperm DNA fragmentation index (DFI) and draw a column chart,which can significantly improve clinical practicality and application efficiency,provide a basis for comprehensive evaluation of semen quality in clinical practice,take active intervention measures to improve clinical outcomes,and formulate personalized medical plans.OBJECTIVE:To explore the prediction model and verification of sperm DNA fragments based on traditional Chinese medicine syndrome and semen quality-related parameters.METHODS:Retrospective analysis was made on 420 infertile patients who received traditional Chinese medicine syndrome diagnosis and sperm DNA fragment rate examination in the Department of Traditional Chinese Medicine Andrology,Nanxishan Hospital of Guangxi Zhuang Autonomous Region from July 2019 to July 2021.According to the Manual of Human Semen Examination and Treatment Laboratories (6th Edition),137 patients with sperm DFI>30％ were included in the group of abnormally high sperm DFI,and 283 patients with sperm DFI ≤ 30％ were taken as the control group.First,univariate analysis was used to screen the influencing factors of the abnormal increase of sperm DFI.Then,the best matching factor was selected by using the collinearity problem of LASSO correction factors.Then,it was included in the multifactor forward stepwise logistic regression to find out its independent influencing factors and draw a nomogram.Finally,the receiver operating characteristic curve,calibration curve,decision curve analysis and clinical impact curve were used to verify the differentiation and accuracy of the prediction model and its clinical application effectiveness.RESULTS AND CONCLUSION:(1) The results of the univariate analysis showed that age,body mass index,forward motion rate,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney sperm deficiency syndrome were the influencing factors for the abnormal increase of sperm DFI (P<0.05).(2) The best matching factors further screened by LASSO regression were age,body mass index,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney essence deficiency syndrome (P<0.05).(3) Multifactor forward stepwise Logistic regression showed that age,body mass index,sperm concentration,total sperm motility,damp heat downpour syndrome,and kidney yang deficiency syndrome were six independent factors that caused the abnormal increase in sperm DFI.(4) Receiver operating characteristic curve showed that the area under the curve of the model group was 0.760(0.713,0.806),and the area under the curve of the validation group was 0.745(0.714,0.776).It showed that the prediction model had good discrimination.(5) The average absolute error of the calibration curve was 0.040,and the Hosmer Lemeshow test (P>0.05),suggesting that there was no significant statistical difference between the probability of the abnormal increase in DFI of spermatozoa predicted by the model and the probability of the abnormal increase in DFI of spermatozoa actually occurred,which confirmed that the model had good accuracy.(6) Decision curve analysis and clinical impact curve showed that the model group and validation group had the maximum clinical net benefit when the threshold probability values were (0.08-0.84) and (0.09-0.78) respectively,and had good clinical application efficiency within the threshold probability range.(7) These findings conclude that age,body mass index,sperm concentration,total sperm viability,damp heat downpour syndrome and kidney yang deficiency syndrome are independent factors that cause the abnormal increase in sperm DFI.The nomogram of the clinical prediction model constructed by them has good clinical prediction value and clinical application efficiency,and can provide the basis for comprehensive clinical evaluation of semen quality and individualized medical service.

Blonanserin,a second-generation atypical antipsychotic agent,acts as an antagonist for dopamine D2,D3,and serotonin 5-HT2A receptors.Clinical studies have demonstrated that blonanserin is non-inferior to other antipsychotics,such as haloperidol and risperidone,in alleviating the symptoms of schizophrenia.Moreover,it exhib-its beneficial effects on cognitive symptoms and social functioning,with a favorable safety profile,making it one of the key treatment options for schizophrenia.With extensive clinical experience accumulated in China,this expert consensus aims to provide psychiatrists with updated and localized guidance on the optimal use of blonan-serin.Based on a systematic review of the latest evidence-particularly studies in Chinese population,this paper pres-ents the updated Chinese expert recommendations for the clinical use of blonanserin in 2024.

This report described the multidisciplinary management of a preterm infant with congenital tracheal agenesis (TA). The infant, delivered via cesarean section at 32 +5 weeks' gestation, had Apgar scores of 6 and 8 at 1 and 5 minutes, respectively. Although skin color improved after 30 seconds of bag-mask ventilation, the infant exhibited no cry, weak spontaneous breathing, and failed multiple intubation attempts. The patient was transferred to Anhui Children's Hospital of Fudan University under continuous bag-mask positive-pressure ventilation at 3 hours after birth (September 10, 2024). Combined imaging and fiberoptic bronchoscopy confirmed TA (Floyd type Ⅱ/Faro type C) with multiple anomalies, including duodenal atresia, aortic coarctation, and butterfly vertebrae. Whole-genome sequencing revealed a suspected mosaic SCN2A c.5317G>A variant (wild-type parents) and an ERCC5 c.2974C>T heterozygous variant inherited from the mother (homozygous). Following esophageal intubation, invasive mechanical ventilation, and continuous gastrointestinal decompression, respiratory distress significantly improved with a stabilized condition. The infant died 30 hours after birth following treatment withdrawal.

This study collected data on 9 cases of fatal head injuries caused by adjustable wrenches and analyzed 16 types of injury characteristics of head injuries caused by adjustable wrenches.The distinctive patterns of head injuries caused by adjustable wrenches were summarized.A four level scoring model and scoring criteria were constructed for head injuries caused by adjustable wrenches.From a morphological perspective,it provided a reference for the inference of injury-causing instruments in forensic practice.

Objective This study established a qualitative and quantitative detection method for 9 new synthetic cannabinoids in e-cigarette oil using liquid chromatography-high resolution mass spectrometry.Methods E-cigarette oil was extracted with methanol,concentrated by nitrogen blowing under a water bath at 60℃,and separated using an Acquity UPLC? HSS T3(100 mm×2.1 mm,1.8 μm)column.Gradient elution was performed with ammonium acetate buffer solution(20 mmol/L)containing 0.1%formic acid and acetonitrile as the mobile phase.Detection was carried out in the positive ion mode of the HESI ion source using DDA(FullScan+dd-MS2)mode.Quantification was performed using the external standard method based on precise precursor ion peak areas,while qualitative analysis relied on retention times and characteristic fragment ions.Results The results showed that the standard curves of all 9 synthetic cannabinoids in blank e-cigarette oil matrix exhibited good linearity with R2 values>0.999.The limits of detection ranged from 0.0001 to 0.01 μg/g,and the limits of quantification ranged from 0.0003 to 0.03 μg/g.Recovery rates at low,medium,and high spiking levels in blank e-cigarette oil matrix ranged from 75.7%to 115%,with relative deviations<8.5%.Conclusion This method features a short instrument detection time of only 10 min,relatively simple operation,low detection limits,high accuracy,and good precision,making it applicable for rapid screening and quantitative analysis of synthetic cannabinoids in e-cigarette oil.