Objective:To investigate the effects of the "TECK" (theoretical class, experimental course, case discussion, and knowledge reinforcement) teaching model oriented by post competency in clinical pathology internship teaching.Methods:The intern students from 2015 to 2019 in the pathology direction of clinical medicine in the School of Pathology, Qiqihar Medical College, who were enrolled in the internship from 2019 to 2023, were selected as the research objects.We enrolled 32 medical students from grades 2017, 2018, and 2019 (research group) and 24 medical students from grades 2015 and 2016 (control group) who would participate in pathology internships. The control group adopted the traditional internship mode, while the research group adopted the competency-oriented "TECK" teaching mode. After the internship, the two groups were compared for internship assessment score and surveyed for post competency. With the use of SPSS 18.0 statistical software. Continuous data were presented as (mean±standard deviation) and t-test was used for comparison between groups. Count data were expressed in the number of cases, and chi-square test was used for comparison between groups.The significance level α was 0.05. Results:The research group showed significantly higher scores of skill assessment (82.81±4.20 vs. 79.58±5.09) and pathological diagnosis assessment (80.28±4.23 vs. 76.21±4.58) than the control group (both P<0.05), with no significant difference in the score of theoretical knowledge ( P>0.05). In terms of post competency, the research group was superior to the control group in clinical skills and medical care ability (12.38±0.94 vs. 11.35±0.76), disease prevention and health promotion ability (6.28±0.92 vs. 4.48±0.93), interpersonal communication and information management ability (19.81±1.09 vs. 17.00±1.28), and teamwork and scientific research ability (11.44±1.27 vs. 9.25±0.87; all P<0.05). There were no significant differences between the two groups in core values and professional literacy and medical knowledge and lifelong learning (both P>0.05). Conclusions:In undergraduate internships, the competency-oriented "TECK"teaching mode can significantly improve students' clinical operation and pathological diagnosis ability, and effectively cultivate their abilities of clinical skills and medical care, disease prevention and health promotion, interpersonal communication and information management, teamwork and scientific research.

This study aimed to explore the relationship between comorbidity factors and in-hospital mortality related to factors in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) pneumonia. This study collected clinical data from 218 patients with CRKP pneumonia in Beijing hospital from November 2011 to December 2023, analyzed the number of comorbidities carried by CRKP pneumonia patients, comorbidity patterns, Charlson Comorbidity Index (CCI) scores, and comorbidity of underlying diseases, and explored the relationship between various indicators and comorbidity factors and in-hospital mortality in CRKP pneumonia patients. The Ward.D cluster analysis was performed on the comorbidities of patients and used to draw heatmaps. Using a multiple logistic regression model, a nomogram model was constructed to predict in-hospital mortality in patients with CRKP pneumonia. This study included 218 patients with CRKP pneumonia. The results showed that there were significant differences in the age ( P=0.003), comorbidities such as heart failure ( P<0.001), arrhythmia ( P=0.002), chronic liver disease ( P=0.003), chronic kidney disease ( P=0.002), CCI score ( P=0.007), total number of comorbidities ( P<0.001), and comorbidity patterns (respiratory/immune/psychiatric disease patterns and cardiovascular/tumor/metabolic disease patterns, P=0.003) between the survival and death groups of CRKP pneumonia patients. The multiple logistic regression showed that cardiovascular/tumor/metabolic disease patterns ( P=0.030), CCI score ( P=0.040), concomitant heart failure ( P=0.011), and concomitant arrhythmia ( P=0.025) were independent risk factors for in-hospital mortality in patients with CRKP pneumonia. The nomogram model for predicting the risk of in-hospital mortality in patients with CRKP pneumonia, constructed based on the identified risk factors, had an area under the ROC curve of 0.758. Both the ROC curve and validation curve indicated that the nomogram model had stable performance in predicting in-hospital mortality in patients with CRKP pneumonia. In summary, comorbidity factors are risk factors for predicting in-hospital mortality in patients with CRKP pneumonia, and the role of comorbidity factors in in-hospital mortality in patients with CRKP pneumonia should be taken seriously.

Diabetic kidney disease(DKD)is not only the main microvascular complication of diabetes mellitus,but also a common cause of end stage renal disease.Oxidative stress and nuclear factor E2-related factor 2(Nrf2)/kelch like epichlorohydrin related protein 1/antioxidant response element pathway damage may be involved in the occurrence and development of DKD.This article reviews the research progress of targeted activation of Nrf2 pathway and DKD treatment.

This study aimed to explore the relationship between comorbidity factors and in-hospital mortality related to factors in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) pneumonia. This study collected clinical data from 218 patients with CRKP pneumonia in Beijing hospital from November 2011 to December 2023, analyzed the number of comorbidities carried by CRKP pneumonia patients, comorbidity patterns, Charlson Comorbidity Index (CCI) scores, and comorbidity of underlying diseases, and explored the relationship between various indicators and comorbidity factors and in-hospital mortality in CRKP pneumonia patients. The Ward.D cluster analysis was performed on the comorbidities of patients and used to draw heatmaps. Using a multiple logistic regression model, a nomogram model was constructed to predict in-hospital mortality in patients with CRKP pneumonia. This study included 218 patients with CRKP pneumonia. The results showed that there were significant differences in the age ( P=0.003), comorbidities such as heart failure ( P<0.001), arrhythmia ( P=0.002), chronic liver disease ( P=0.003), chronic kidney disease ( P=0.002), CCI score ( P=0.007), total number of comorbidities ( P<0.001), and comorbidity patterns (respiratory/immune/psychiatric disease patterns and cardiovascular/tumor/metabolic disease patterns, P=0.003) between the survival and death groups of CRKP pneumonia patients. The multiple logistic regression showed that cardiovascular/tumor/metabolic disease patterns ( P=0.030), CCI score ( P=0.040), concomitant heart failure ( P=0.011), and concomitant arrhythmia ( P=0.025) were independent risk factors for in-hospital mortality in patients with CRKP pneumonia. The nomogram model for predicting the risk of in-hospital mortality in patients with CRKP pneumonia, constructed based on the identified risk factors, had an area under the ROC curve of 0.758. Both the ROC curve and validation curve indicated that the nomogram model had stable performance in predicting in-hospital mortality in patients with CRKP pneumonia. In summary, comorbidity factors are risk factors for predicting in-hospital mortality in patients with CRKP pneumonia, and the role of comorbidity factors in in-hospital mortality in patients with CRKP pneumonia should be taken seriously.

Objective:To study the effects of Terra Flavausta on diarrhea mice with spleen yang deficiency based on metabonomics. Methods:Totally 30 mice were divided into normal group, model group and Terra Flavausta group according to random number table method. Mice in the model group and Terra Flavausta group were treated by the method of "diet disorder + clearing fire with herbs bitter in flavour and cold in property" to establish the diarrhea model of spleen yang deficiency. After successful modeling, Terra Flavausta group received Zaoxintu Decoction 12.0 g/kg for gavage, while normal group and model group were given equal volume of distilled water for gavage, for consecutive 7 d. The serum metabolites of each mouse were analyzed and identified based on UPLC-Q-Exective-MS. The differential metabolites were characterized by principal component analysis and orthogonal partial least squares discriminant analysis, and the potential biomakers were screened, and the KEGG pathway enrichment analysis was performed. Results:Totally 110 different metabolites were screened under the positive and negative ion mode. Terra Flavausta can effectively reverse the disorder of serum metabolism in diarrhea mice with spleen yang deficiency, and has a significant callback effect on 12 potential biomarkers related to diarrhea with spleen yang deficiency. KEGG pathway enrichment mainly involved HIF-1 signaling pathway, ascorbate and aldarate metabolism, platelet activation, etc. Conclusion:Terra Flavausta may play the effect of warming spleen and relieving diarrhea through down-regulation of L-ascorbic acid affecting HIF-1 signal pathway, ascorbic acid and aldose metabolism pathway, vitamin digestion and absorption pathway, up-regulation of prostaglandins G2 and H2 affecting platelet activation pathway, and down-regulation of jasmonic acid α linolenic acid metabolic pathway.

Objective:In order to scientifically promote the selection of appropriate technology of traditional non-pharmacologi-cal,the value evaluation index system of traditional non-pharmacological technology was constructed in line with the characteristics of TCM based on the theory of health technology assessment and multi-criteria decision analysis.Methods:The evaluation index pool was initially formed through literature research,and then those indicators were further improved through semi-structured inter-views and Delphi method.Results:The value evaluation index was constructed with seven dimensions,including quality standard,safety,effectiveness,economy,inheritance and innovation,suitability and accessibility,which were subordinated by 17 second-level indicators and 33 third-level indicators.The questionnaire response rate was 100%.The group authority coefficient of 17 experts was 0.87,and the concentration and coordination degree of expert opinions of the first-level indicators were high.Conclusion:The index pool constructed in this study has high expert authority,good concentration and coordination of expert opinions,which needs to be verified by practical experience,which is of great significance for the value evaluation of traditional non-pharmacological technology.

OBJECT IVE To develop a rapid health technology assessment （rHTA）methodology of drugs based on evidence integration and value judgment ，which is suitable for China ’s national conditions. METHODS The literature review was adopted to study health technology assessment （HTA）and multi-criteria decision analysis （MCDA），and then rHTA method based on China ’s condition was formulated preliminarily with anti-tumor drugs ；the method of rHTA was demonstrated by expert consultation ； finally，the feasibility of rHTA was preliminarily verified taking the drugs for the treatment of non-small cell lung cancer as an example. RESULTS Established rHTA method combined the theory and principles of HTA and MCDA ：HTA method was used to guide the collection and synthesis of literature and real-world evidence ，while MCDA made the value measurements of achievable evidences by various stakeholders from different views ；it established the working process ，evaluation dimensions ，evaluation indicators and scoring system of rHTA. The feasibility of this method was verified by the drug example of treating non-small cell lung cancer. CONCLUSIONS A set of drug-driven rHTA methodology guidance based on HTA and MCDA is established. It can quickly collect and integrate evidence ，and provide evidence support for decision makers in a short time.

Closed-loop hospital management can effectivly cope with the COVID-19 pandemic. In order to ensure the continuity of treatments for hemodialysis patients under closed-loop management and minimize possible medical and infection risks, Huashan Hospital affiliated to Fudan University and 9 hospitals in Shanghai established a hemodialysis alliance in January 2021.The alliance optimized hemodialysis resources within the region through overall planning by preparing sites, materials and personnel shifts in advance, and establishing management systems and work processes to ensure that patients could be quickly and orderly diverted to other blood dialysis centers for uninterrupted high-quality hemodialysis services, in case that some hemodialysis centers in the alliance under closed-loop management.From November 2021 to April 2022, 317 of 1 459 hemodialysis patients in the alliance were diverted to other centers for treatment, accumulating 1 215 times/cases of treatments without obvious adverse reactions. The practice could provide a reference for medical institutions to quickly establish mutual support mode under major public health events.

O'Sullivan-Mcleod syndrome is a very rare variant of MND with a good prognosis. Its clinical feature is distal lower motor neuron syndrome of both upper limbs, and there is no effective treatment at present. We reported a case of O'Sullivan-Mcleod syndrome in this paper.The patient exhibited with middle-aged progressive distal muscle weakness and atrophy of both upper limbs, without sensory, cognitive or behavioral impairment and without pyramidal tract sign. Laboratory examination, imaging and genetic tests showed no obvious abnormalities. EMG revealed neurogenic damage to the small muscles of both hands. Now we retrospectively analyzed the clinical features of a patient with O'Sullivan-McLeod syndrome, and data from 18 cases for comparative analysis, in order to improve its understanding by clinicians.