Objective:To investigate the influencing factors for sarcopenia in hospitalized patients,to construct a risk prediction model for sarcopenia in elderly hospitalized patients,and to provide a quantitative tool for early screening and intervention of sarcopenia based on the integration of multi-dimensional indicators.Methods:A retrospective analysis was performed for the data of 2105 elderly patients who were hospitalized in The First Affiliated Hospital of Chongqing Medical University from March 2016 to June 2023.The least absolute shrinkage and selection operator analysis was used for the screening of variables,and the logistic regression analysis was used to investigate the influencing factors for sarcopenia.A predictive model was constructed,and internal and external validation was performed.The Shapley additive explanations model was used to analyze feature contributions,and a nomogram model was constructed to visualize and interpret the results.Results:The 1259 patients from March 2016 to December 2020 were randomly divided into a training set with 882 patients and an internal test set with 377 patients at a ratio of 7∶3,and the 846 patients from January 2021 to June 2023 were established as the external validation set.A total of 489 cases of sarcopenia(55.44%)were detected in the training set.The logistic regression analysis based on the training set showed that asthenia,dependence on Activity of Daily Living,malnutrition,and in-creasing age were risk factors for sarcopenia(odds ratio[OR]>1,P<0.05),and male sex,normal body mass index,and overweight were protective factors against sarcopenia(OR<1,P<0.05).The model had an AUC of 0.876(95%CI=0.854-0.899)in the training set,0.883(95%CI=0.849-0.918)in the internal test set,and 0.750(95%CI=0.717-0.783)in the external validation set,suggesting that the model had good performance.The decision curve analysis showed that the nomogram model had a good clinical value.Conclu-sion:The predictive model for sarcopenia has good performance and holds promise for clinical application.

BackgroundDomestic researches on the professional identity of psychiatrists are still relatively rare up to now， and effective evaluation tools remain inadequate. ObjectiveTo construct a professional identity questionnaire for psychiatrists with high reliability and validity， so as to provide an effective tool for the evaluation of professional identity of psychiatrists. MethodsA self-designed questionnaire titled "Professional Identity Questionnaire" was compiled. After preliminary screening of items and expert consultation， an initial questionnaire was formed and administered to a sample of 400 psychiatrists， and the final questionnaire was assessed by item analysis， reliability analysis and validity analysis. ResultsThe Cronbach's α coefficient was 0.930 for the final questionnaire， and ranged from 0.817 to 0.920 for each dimension. The value of KMO was 0.904 （χ²=2 931.652， P<0.01）. The cumulative variance contribution rate of factors extracted from exploratory factor analysis was 68.306%. Confirmatory factor analysis showed that the integrity of fit indexes were χ²/df=1.234， GFI=0.905， NFI=0.916， RMSEA=0.036， CFI=0.983， IFI=0.983. The final version of the professional identity questionnaire for psychiatrists consisted of 23 items relating to 4 dimensions， namely， professional cognition， professional behavior， professional emotion and professional values. ConclusionThe professional identity questionnaire for psychiatrists has good reliability and validity， and can be used as an effective tool to evaluate the professional identity of psychiatrists. ［Funded by Foundation of Sichuan Research Center of Applied Psychology of Chengdu Medical College （number， CSXL-22304）； Science and Technology Guiding Plan Project of Guangyuan City （number， 22ZDYF0072）］

Humans ; Soft Tissue Neoplasms ; Mesenchymoma/diagnostic imaging* ; Paraneoplastic Syndromes/pathology*

Using chemoproteomic techniques, we first identified EIF2AK2, eEF1A1, PRDX3 and VPS4B as direct targets of berberine (BBR) for its synergistically anti-inflammatory effects. Of them, BBR has the strongest affinity with EIF2AK2 via two ionic bonds, and regulates several key inflammatory pathways through EIF2AK2, indicating the dominant role of EIF2AK2. Also, BBR could subtly inhibit the dimerization of EIF2AK2, rather than its enzyme activity, to selectively modulate its downstream pathways including JNK, NF-κB, AKT and NLRP3, with an advantage of good safety profile. In EIF2AK2 gene knockdown mice, the inhibitory IL-1β, IL-6, IL-18 and TNF-α secretion of BBR was obviously attenuated, confirming an EIF2AK2-dependent anti-inflammatory efficacy. The results highlight the BBR's network mechanism on anti-inflammatory effects in which EIF2AK2 is a key target, and inhibition of EIF2AK2 dimerization has a potential to be a therapeutic strategy against inflammation-related disorders.