OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

The shoulder joint is the most flexible joint in the body with the largest range of motion, and the movement pattern is more complex. Accurate capture of three-dimensional motion data of the shoulder joint is crucial for biomechanical evaluation. Optical motion capture systems offer a non-invasive and radiation-free method to capture shoulder joint motion data during complex movements, enabling further biomechanical analysis of the shoulder joint. This review provides a comprehensive overview of optical motion capture technology in the context of shoulder joint movement, including measurement principles, data processing methods to reduce artifacts from skin and soft tissues, factors influencing measurement results, and applications in shoulder joint disorders.
Humans ; Shoulder ; Motion Capture ; Biomechanical Phenomena ; Upper Extremity ; Shoulder Joint ; Movement ; Range of Motion, Articular

Objective: To evaluate the thermal environment of different types of public places and the thermal comfort of employees, so as to provide scientific basis for the establishment of microclimate standards and health supervision requirements. Methods: From June 2019 to December 2021, 50 public places (178 times) of 8 categories in Wuxi were selected, including hotels, swimming pools (gymnasiums), bathing places, shopping malls (supermarkets), barber shops, beauty shops, waiting rooms (bus station) and gyms. In summer and winter, microclimate indicators such as temperature and wind speed were measured in all kinds of places, combined with the work attire and physical activity of employees in the places. Fanger thermal comfort equation and center for the built environment (CBE) thermal comfort calculation tool were used to evaluate the predicted mean vote (PMV), predicted percent dissatisfied (PPD) and standard effective temperature (SET) according to the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) 55-2020. The modification effects of seasonal and temperature control conditions on thermal comfort were analyzed. The consistency of GB 37488-2019 "Hygienic Indicators and Limits in Public Places" and ASHRAE 55-2020 evaluation results on thermal environment was compared. Results: The thermal sensation of hotel, barber shop staff and the gym front-desk staff were moderate, while the thermal sensation of swimming place lifeguard, bathing place cleaning staff and gym trainer were slightly warm in summer and winter. Waiting room (bus station) cleaning and working staff, shopping mall staff felt slightly warm in summer and moderate in winter. Service staff in bathing places felt slightly warm in winter, while staff in beauty salons felt slightly cool in winter. The thermal comfort compliance of hotel cleaning staff and shopping mall staff in summer was lower than that in winter (χ(2)=7.01, 7.22, P=0.008, 0.007). The thermal comfort compliance of shopping mall staff in the condition of air conditioning off was higher than that in the condition of air conditioning on (χ(2)=7.01, P=0.008). The SET values of front-desk staff in hotels with different health supervision levels were significantly different (F=3.30, P=0.024). The PPD value and SET value of the front-desk staff, and the PPD value of cleaning staff of hotels above three stars were lower than those of hotels below three stars (P<0.05). The thermal comfort compliance of front-desk staff and cleaning staff in hotels above three stars was higher than that in hotels below three stars (χ(2)=8.33, 8.09, P=0.016, 0.018). The consistency of the two criteria was highest among waiting room (bus station) staff (100.0%, 1/1) and lowest among gym front-desk staff (0%, 0/2) and waiting room (bus station) cleaning staff (0%, 0/1) . Conclusion: There are different degrees of thermal discomfort in different seasons, under the condition of air conditioning and health supervision, and the microclimate indicators can not fully reflect the thermal comfort of human body. The health supervision of microclimate should be strengthened, the applicability of health standard limit value should be evaluated in many aspects, and the thermal comfort of occupational group should be improved.
Humans ; Temperature ; Cold Temperature ; Air Conditioning ; Wind ; Seasons

OBJECTIVE: To systematically evaluate obesity on the outcome of rotator cuff repair. METHODS: Literatures on the relationship between obesity and outcomes after rotator cuff repair were searched from PubMed, Embase, Cochrane Library, Web of Science, China biology medicine(CBM), CNKI, Wanfang and VIP databases from building database to August 1, 2022, and were screened independently by two authors according to inclusion and exclusion criteria. Endnote X9 and Excel 2019 were used for literature extraction, management and data entry, and Newcastle-Ottawa Scale (NOS) was used to evaluate quality of the included literatures. STATA 16.0 and RevMan 5.4 softwares were used to evaluate postoperative retear rate, reoperation rate, complication rate, American Shoulder and Elbow Surgeons (ASES) score, visual analogue scale (VAS), operative time and external rotation angle of shoulder joint pain were analyzed. RESULTS: Totally 13 literatures were included, including 6 retrospective studies, 5 case-control studies, 1 prospective cohort study, and 1 abstract of a study for which the full text was not available, with 85 503 patients (31 973 in obese group and 53 530 in non-obese group). Meta-analysis showed there were statistical differences between two groups in retear rate [OR=2.58, 95%CI(1.23, 5.41), P=0.01], reoperation rate[OR=1.31, 95%CI(1.21, 1.42), P<0.00], complication rate [OR=1.57, 95%CI(1.31, 1.87), P=0.00], ASES score[MD=-3.59, 95%CI(-5.45, -1.74), P=0.00], and VAS[MD=0.24, 95%CI(0.00, 0.49), P=0.05]. While there were no differences between two groups in operative time[MD=6.03, 95%CI(-7.63, 19.69), P=0.39], external rotation angle of shoulder joint[MD=-1.79, 95%CI(-5.30, 1.71), P=0.32]. CONCLUSION Obesity is associated with higher rates of retear, resurgery, complications, poorer shoulder function and pain after rotator cuff repair.
Humans ; Rotator Cuff/surgery* ; Rotator Cuff Injuries/complications* ; Retrospective Studies ; Prospective Studies ; Treatment Outcome ; Shoulder Pain ; Obesity/surgery* ; Arthroscopy

Objective: To explore the prognostic factors of extracellular NK/T cell lymphoma (ENKTL) treated with pegaspargase/L-asparaginase. Methods: The clinical data of 656 ENKTL patients diagnosed at 11 medical centers in the Huaihai Lymphoma Working Group from March 2014 to April 2021 were retrospectively analyzed. The patients were randomly divided into two groups: a training set (460 cases) and a validation set (196 cases) at 7∶3, and the prognostic factors of the patients were analyzed. A prognostic scoring system was established, and the predictive performance of different models was compared. Results: Patients' median age was 46 (34, 57) years, with 456 males (69.5% ) and 561 nasal involvement (85.5% ). 203 patients (30.9% ) received a chemotherapy regimen based on L-asparaginase combined with anthracyclines, and the 5-year overall survival rate of patients treated with P-GEMOX regimen (pegaspargase+gemcitabine+oxaliplatin) was better than those treated with SMILE regimen (methotrexate+dexamethasone+cyclophosphamide+L-asparaginase+etoposide) (85.9% vs 63.8% ; P=0.004). The results of multivariate analysis showed that gender, CA stage, the Eastern Cooperative Oncology Group performance status (ECOG PS) score, HGB, and EB virus DNA were independent influencing factors for the prognosis of ENKTL patients (P<0.05). In this study, the predictive performance of the prognostic factors is superior to the international prognostic index, Korean prognostic index, and prognostic index of natural killer lymphoma. Conclusion: Gender, CA stage, ECOG PS score, HGB, and EB virus DNA are prognostic factors for ENKTL patients treated with pegaspargase/L-asparaginase.
Male ; Humans ; Middle Aged ; Asparaginase/therapeutic use* ; Prognosis ; Retrospective Studies ; Lymphoma, Extranodal NK-T-Cell/drug therapy* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Etoposide ; Cyclophosphamide ; Methotrexate/therapeutic use* ; DNA/therapeutic use* ; Treatment Outcome

Aim: To investigate the alleviating effect of NMDA receptor blocking on learning and memory impairment induced by gp120 in rats and its mechanism. Methods: (1 ) Thirty-two SD rats were randomly divided into control group, sham operation group, gpl20 group, and gp120 + Memantine group. Except for the control group, the other groups underwent a bilateral hippocampal injection to establish the model of learning and memory impairment in rats. Memantine (10 mg • kg

Aim To investigate the effects of total flavonoids from Rosa rugosa (TFR) on cerebral ischemia reperfusion injury (CIRI) in rats, and to investigate whether TFR inhibited neuronal apoptosis by regulating phosphoinositide 3-kinase/protein kinase B (PI3K/AKT) signaling pathway and endoplasmic reticulum stress (ERS) pathways. Methods SD rats were randomly divided into sham operation group, model group, low-dose group (50 mg · kg

OBJECTIVE: To observe the effects of acupuncture at "Kongzui" (LU 6) and "Yuji" (LU 10) on the latent period of inducing asthma, pulmonary function and the expression of endothelin-1 (ET-1) and metallothionein-2 (MT-2) in asthma rats, and to explore the possible mechanism of acupuncture in alleviating airway smooth muscle spasm and improving the acute attack of asthma. METHODS: A total of 40 male SD rats of SPF-grade were randomly divided into a normal group, a model group, a medication group and an acupuncture group, 10 rats in each group. Except for the normal group, ovalbumin sensitization method was used to establish the asthma model in the other 3 groups. Salbutamol nebulization was adopted in the medication group, while acupuncture was applied at bilateral "Kongzui" (LU 6) and "Yuji" (LU 10) in the acupuncture group. The intervention was given once a day for 14 days in the two groups. The latent period of inducing asthma and pulmonary function were observed, the levels of ET-1 and tumor necrosis factor (TNF)-α in serum and bronchoalveolar lavage fluid (BALF) were detected by ELISA method, the morphology of the airway was observed by Masson staining, the ultrastructure of the airway smooth muscle was observed by transmission electron microscopy, the mRNA and protein expression of ET-1 and MT-2 in lung tissue was detected by real-time PCR and Western blot methods. RESULTS: Compared with the normal group, in the model group, the latent period of inducing asthma was shortened (P<0.01); the airway resistance (RL) was increased while the dynamic compliance (Cdyn) was decreased (P<0.01, P<0.05); the levels of ET-1 and TNF-α in serum and BALF were increased (P<0.01); collagen fibers and collagen depositions were found around the bronchi, airway smooth muscle was thickened, the cell damage was severe and mitochondria were swollen; the mRNA and protein expression of ET-1 was increased while the mRNA and protein expression of MT-2 was decreased (P<0.01). Compared with the model group, in the acupuncture group, the latent period of inducing asthma was prolonged (P<0.05), the RL was decreased while the Cdyn was increased (P<0.01, P<0.05). Compared with the model group, in the medication group and the acupuncture group, the levels of ET-1 and TNF-α in serum and BALF were decreased (P<0.01, P<0.05); collagen fibers and collagen depositions around the bronchi were reduced, the thickened airway smooth muscle was lightened, the cell damage was improved; the mRNA and protein expression of ET-1 was decreased while the mRNA and protein expression of MT-2 was increased (P<0.01). Compared with the medication group, the mRNA expression of MT-2 was increased in the acupuncture group (P<0.05). CONCLUSION Acupuncture at "Kongzui" (LU 6) and "Yuji" (LU 10) can improve the pulmonary function and alleviate the airway smooth muscle spasm in rats with asthma. Its mechanism may be related to the down-regulation of ET-1 expression and up-regulation of MT-2 expression.
Rats ; Male ; Animals ; Tumor Necrosis Factor-alpha/metabolism* ; Rats, Sprague-Dawley ; Lung ; Asthma/metabolism* ; Acupuncture Therapy ; Spasm ; RNA, Messenger/metabolism*