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 efficacy and safety of nalbuphine for analgesia in patients with non-mechanical ventilation in intensive care unit (ICU).Methods:From December 2018 to August 2021, a multicenter randomized controlled clinical study was conducted to select non-mechanical ventilation patients with analgesic needs admitted to ICU of four hospitals in Henan Province and Guizhou Province. Patients were randomly assigned to nalbuphine group and fentanyl group. The nalbuphine group was given continuous infusion of nalbuphine [0.05~0.20 mg/(kg·h)], and the fentanyl group was given continuous infusion of fentanyl [0.5~2.0 μg/(kg·h)]. The analgesic target was critical-care pain observation tool (CPOT) score<2. The observation time was 48 hours. The primary endpoint was CPOT score, the secondary endpoints were Richmond agitation-sedation score (RASS), ICU length of stay, adverse events, and proportion of mechanical ventilation. The quantitative data of the two groups were compared by t test or Mann-Whitney U test. The enumeration data were compared by chi square test or Fisher exact probability method. The data at different time points between groups were compared by repeated measures analysis of variance. Results:A total of 210 patients were enrolled, including 105 patients in the nalbuphine group and 105 patients in the fentanyl group. There was no significant difference in baseline data between the two groups (all P>0.05). There was no significant difference in CPOT score between nalbuphine group and fentanyl group at each time point after medication ( P>0.05), the CPOT score of both groups at each time point after medication was significantly lower than that before medication, and the analgesic target could be achieved and maintained 2 hours after medication. There was no significant difference in RASS between the two groups at each time point after medication ( P>0.05), which was significantly lower than that before medication, and the target sedative effect was achieved 2 hours after medication. There was no significant difference in ICU length of stay between nalbuphine group and fentanyl group [5.0(4.0,7.5) d vs. 5.0(4.0,8.0) d, P=0.504]. The incidence of delirium, nausea and vomiting, abdominal distension, pruritus, vertigo and other adverse events in the nalbuphine group was lower than that in the fentanyl group (all P<0.05). There was no significant difference in the incidence of other adverse events such as deep sedation, hypotension and bradycardia between the two groups (all P>0.05). The incidence of respiratory depression in nalbuphine group was not significantly different from that in fentanyl group ( P>0.05), but the proportion of mechanical ventilation was significantly lower than that in the fentanyl group [1.9% (2/105) vs. 8.6%(9/105), P=0.030]. Conclusions:Nalbuphine could be used for analgesia in ICU patients with non-mechanical ventilation. The target analgesic effect could be achieved within 2 hours, and it had a certain sedative effect with a low incidence of adverse reactions.

With the transition of the medical model from the traditional biomedical model to the biopsychosocial one, there is a growing trend and requirement for oral operations that prioritize comfort, pain management, minimally invasive techniques, and visualization. Consequently, demands for comfortable dental treatments among individuals are increasing. However, initial periodontal therapy is often accompanied by pain, and patients′ reactions to pain range from nervousness to dental fear, such as irritability, hyperventilation, even nausea, vomiting, and refusal to cooperate, which make the implementation of initial periodontal therapy difficult or even impossible. This article will focus on three key steps: firstly, the preparation of the clinic, the acquisition of patients′ trust and the implementation of preventive sedation before treatment; secondly, the use of comfort operation and nursing, psychological intervention measures, local anesthesia, and sedation techniques during treatment; thirdly, the health education and follow-up after treatment. By addressing these aspects, we aim to clarify how to perform comfortable initial periodontal therapy step by step.

Objective To evaluate the economic value of using glucagon-like peptide-1 receptor agonist(GLP-1RA)in combination with metformin for the treatment of type 2 diabetes mellitus(T2DM).Methods Based on 7 randomized controlled clinical trials(RCTs),Markov model was built to simulate the dynamic changes of metformin alone or combined with GLP-1RA in the treatment of T2DM patients without or with complications and death from the perspective of China's health system.Quality-adjusted life years(QALYs)was used as a health output indicator and 3 times China's per capita gross domestic product(GDP)in 2023 was set as the willingness-to-pay(WTP)threshold.The cycle was at the rate of 1 year and a total of 20 years cohort simulation in Markov model was applied to obtain long-term cost and effect of each treatment strategy.The incremental cost-utility ratio(ICUR)was analyzed as the primary evaluation indicator and the sensitivity of cost,utility and discount was performed to test the stability of the results.Results Compared with metformin alone,the ICUR of GLP-1RA including liraglutide,dulaglutide,exenatide,loxenatide,semaglutide combined with metformin were all below the WTP threshold,and the increased cost was acceptable.Extending the simulation time to 30 years or 50 years had no effect on results.The results of probability sensitivity analysis showed that the cost effect of semaglutide 0.5 mg combined with metformin had the highest probability of a cost-utility advantage of 99.7％among all the treatment strategies when WTP threshold was 3 times China's per capita GDP in 2023(268 074 yuan).Conclusion GLP-1RA,including liraglutide,dulaglutide,exenatide,lixisenatide,and semaglutide,at the regular recommended dose combined with metformin,would present higher cost-utility compared to metformin monotherapy.

Objective To evaluate the efficacy and safety of glucagon-like peptide 1 receptor agonists(GLP-1RA)in type 2 diabetes mellitus(T2DM)patients with overweight or obese.Methods PubMed,Embase,Cochrane Library,Ovid,ClinicalTrial.gov,SinoMed,CNKI,WanFang Data and VIP databases were electronically searched to collect randomized controlled trials(RCTs)on the efficacy of GLP-1RA in the treatment of T2DM patients with overweight or obese from January 1,2005 to November 1,2023.Two researchers independently screened the literature,extracted data and evaluated the risk of bias of the included studies.R software was then used for meta-analysis.The level of evidence was assessed by using the GRADE system.Results A total of 71 RCTs were included,including 29 476 patients.The results of Meta-analysis showed that compared with other hypoglycemic drugs,GLP-1RA showed superior effects in improving HbAlc status(WMD=-0.55,95％CI-0.65 to-0.45,P＜0.001)and weight loss(WMD=-2.61,95％CI-3.25 to-1.97,P＜0.001),while the effect on fasting plasm glucose was time-dependent(within 16 weeks:WMD=0.25,95％CI-0.17 to 0.66,P=0.250;16 to 52 weeks:WMD=-0.06,95％CI-0.32 to 0.20,P=0.650;over 52 to 104 weeks:WMD=-1.67,95％CI-1.91 to-1.43,P＜0.001).In terms of safety,the incidence of GLP-1RA's adverse reactions was higher than other hypoglycemic drugs(RR=1.11,95％CI 1.07 to 1.15,P＜0.001);the incidence of hypoglycemia was lower with GLP-1RA than with insulin(RR=0.58,95％CI 0.48 to 0.71,P＜0.001)and similar to oral hypoglycemic drugs(RR=0.83,95％CI 0.58 to 1.19,P=0.310).According to the GRADE assessment,only the certainty of the evidence for the results of the incidence of hypoglycemia was moderate,and the certainty of the evidence for the other results was low.Conclusion Current evidence shows that for T2DM patients with overweight or obese,GLP-1RA especially semaglutide,was more effective in lowering blood glucose,controlling body weight and reducing the occurrence of hypoglycemia than placebo,insulin and oral hypoglycemic drugs.

Objective To develop the assessment scale of proactive health behavior ability for the disabled elderly in nursing homes and to test its reliability and validity.Methods The first draft of the scale was formed by literature review,qualitative interviews and Delphi method.From December 2023 to March 2024,525 disabled elderly people from 9 nursing homes in Sichuan Province and Chongqing City were selected as the survey subjects,and item analysis and reliability and validity test were carried out on the scale.30 disabled elderly people were re-investigated after 2 weeks to calculate the retest reliability of the scale.Results The scale consisted of 4 dimensions and 27 items.Exploratory factor analysis extracted 4 common factors,with the cumulative vanance contribution rate of 65.992％,and confirmatory factor analysis showed that the modified model fitting index was within acceptable range.The content validity index at item level was 0.917-1.000,and that at scale level was 0.997.The Cronbach's α coefficient,test-retest reliability and split-half reliability of the total scale were 0.944,0.997 and 0.882,respectively.Conclusion The scale has good reliability and validity,and it can be used to evaluate the proactive health behavior ability of the disabled elderly in nursing homes.

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 establish and validate a fluorescence PCR with internal positive control for rapid Mycoplasma detection. Methods:A fluorescence PCR with internal positive control for Mycoplasma detection was developed and verified for its specificity, limit of detection, and robustness. A sample of fever with thrombocytopenia syndrome (SFTSV) virus strains was tested with this method, and the result was compared with those of culture method and indicator cell culture method. Results:The established fluorescence PCR had good specificity and could amplify 11 kinds of plasmids containing Mycoplasma 16S rRNA gene with high efficiency. There was no cross reaction with the genomic DNAs of Clostridium sporogenes, Clostridium acetobutylicum, Lactobacillus acidophilus, Streptococcus pneumoniae, Bacillus subtilis, Staphylococcus aureus, Salmonella enteritidis, Escherichia coli, Pseudomonas aeruginosa, Aspergillus niger, Candida albicans, Vero cells, RD cells, and SF9 cells. The amplification efficiency of the internal positive control was basically consistent with that of the target gene of Mycoplasma, suggesting that the internal positive control could be used to detect the presence of PCR inhibitors. The sensitivity of the established method was high, and the detection limit was 10 colony-forming unit (CFU)/ml for Mycoplasma fermentans, 5 CFU/ml for Mycoplasma arginine, 5 CFU/ml for Mycoplasma gallisepticum, 5 CFU/ml for Mycoplasma hyorhinis, 5 CFU/ml for Acholeplasma laidlawii, 5 CFU/ml for Mycoplasma orale, 5 CFU/ml for Mycoplasma pneumoniae, 5 CFU/ml for Mycoplasma synoviae, and 1 CFU/ml for Spiroplasma citri by 7500 Fast real-time PCR system. At the detection limit of each species, there was no significant difference in the positive detection rate using different thermal cycler types. The established fluorescence PCR, culture method, and indicator cell culture were performed to detect Mycoplasma in the sample of SFTSV virus strains, and the results all showed Mycoplasma contamination. Conclusions:The established fluorescence PCR has high specificity, sensitivity, and robustness, and can be used as an alternative method for rapid detection of Mycoplasma.

Objective To explore the physician-pharmacist joint outpatient service mode of chronic obstructive pulmonary disease ( COPD) and asthma. Methods Cases of COPD or asthma patients who visited the joint outpatient department from June 2021 to December 2021 were collected in our hospital, the inhaler usage score，compliance ( MMAS-8) score，clinical control efficacy，incidence of adverse reactions and patient satisfaction were evaluated before and after pharmaceutical care intervention and statistically analyzed．Results The inhaler usage score，MMAS-8 score，and the Asthma Control Test（ACT）/COPD Assessment Test（CAT） score had been changed significantly after the intervention (P<0.05). Patient satisfaction with pharmaceutical care was basically above 94.75%．Conclusion Pharmaceutical care provided by joint outpatient department in our hospital could help COPD and asthma patients to use inhaler device correctly，resulting in improving compliance of inhaler usage, better disease control，and reducing the occurrence of adverse drug reactions, which could be a positive attempt and exploration of standardized pharmaceutical care model for patients with COPD and asthma．

The number of investigator initiated research (IIR) is increasing. But the recognition and management of IIR in China is still in its infancy, and there is a lack of specific and operable guidance for the implementation process. Based on our practical experiences, previous literature reports, and current policy regulations, the authors took prospective IIR as an example to summarize the implementation process of IIR into 14 steps, which are as the following: study initiation, ethical review, study registration, study filing, case report form design, database establishment, standard operating procedure making, investigator training, informed consent, data collection, data entry, data verification, data locking and data archiving.