Objective To analyze the current status and influencing factors of occupational burnout among medical staff in Dongguan City. Methods A total of 1 007 medical staff from eight hospitals in Dongguan City were selected as the study subjects using the stratified sampling method. The Maslach Burnout Inventory-Human Service Survey and Moral Injury Symptom Scale (Healthcare Professionals Edition) were used to assess occupational burnout and moral injury among these study subjects. Binary logistic regression analysis was conducted to identify the influencing factors of occupational burnout. Results The detection rate of occupational burnout among the medical staff was 46.2%, and the detection rate of moral injury was 48.1%. The result of binary logistic regression analysis showed that after controlling for confounding factors such as age, marriage status, educational level, religious belief, professional title, and hospital characteristics, male medical staff had a higher risk of occupational burnout than female staff (P<0.01). Medical staff with ≤10 years of work experience had a higher risk of occupational burnout than those with >10 years of work experience(P<0.01). Additionally, medical staff with moral injury had a higher risk of occupational burnout than those without moral injury (P<0.01). Conclusion Occupational burnout is relatively common among medical staff in Dongguan City and is influenced by factors such as gender, working years, moral injury, and others.

Objective:To construct an evaluation index system of operation quality and effectiveness of compact urban medical groups and provide references for evaluation of compact urban medical groups.Methods:The evaluation index system was constructed by Delphi method,and the weight was determined by analytic hierarchy process.Results:The evaluation index system consisted of 5 primary indexes,12 secondary indexes and 40 tertiary indexes.Providing assessment methods for the construction of medical groups,the evaluation index system is scientific and authoritative.Conclusion:At the initial stage,policy support should be strengthened,innovative governance mechanisms should be explored,and measures such as implementing a community of responsibilities,strengthening information interconnection,and improving profit distribution mechanisms should be taken to gradually promote the construction of close urban medical groups.

Objective:To analyze the epidemiological characteristics of human respiratory syncytial virus (HRSV) in patients with acute respiratory infection (ARIs) in sentinel hospitals of the Hubei influenza surveillance network from 2016 to 2023.Methods:ARIs samples [including influenza-like cases (ILI) and severe acute respiratory infection (SARI)] were collected from influenza surveillance sentinel hospitals in Hubei Province from 2016 to 2023, and case information was collected. HRSV virus nucleic acid typing was performed by fluorescence quantitative PCR method, and the data were collated, plotted and analyzed.Results:From 2016 to 2023, 12 779 cases of ILI and 9 166 cases of SARI were collected. The positive rate of HRSV was the highest in<5 years of age group [15.77% (168/1 065)], among which the positive rate was the highest in 2 to 5 years of age group of ILI cases [13.60% (31/228)], and the positive rate was the highest in 0 to 2 years of age group of SARI cases [25.97% (60/231)] (all P values<0.001). The positive rate of HRSV in SARI cases was 2.31%-25.97%, higher than that in ILI cases (0-13.60%) ( P=0.016). HRSV was prevalent in autumn and winter from 2016 to 2020 and in spring in 2023. Alternating epidemics of HRSV virus type A and B in Hubei Province from 2016 to 2023 (dominant epidemics of type B in 2016 and 2020; dominant epidemics of type A in 2017-2019 and 2023). Conclusion:SARI and ILI patients under five years old are the main infection groups of HRSV. The seasonal prevalence characteristics of HRSV in Hubei Province from 2016 to 2023 shift from autumn and winter to spring.

Objective:To analyze the epidemiological characteristics of human respiratory syncytial virus (HRSV) in patients with acute respiratory infection (ARIs) in sentinel hospitals of the Hubei influenza surveillance network from 2016 to 2023.Methods:ARIs samples [including influenza-like cases (ILI) and severe acute respiratory infection (SARI)] were collected from influenza surveillance sentinel hospitals in Hubei Province from 2016 to 2023, and case information was collected. HRSV virus nucleic acid typing was performed by fluorescence quantitative PCR method, and the data were collated, plotted and analyzed.Results:From 2016 to 2023, 12 779 cases of ILI and 9 166 cases of SARI were collected. The positive rate of HRSV was the highest in<5 years of age group [15.77% (168/1 065)], among which the positive rate was the highest in 2 to 5 years of age group of ILI cases [13.60% (31/228)], and the positive rate was the highest in 0 to 2 years of age group of SARI cases [25.97% (60/231)] (all P values<0.001). The positive rate of HRSV in SARI cases was 2.31%-25.97%, higher than that in ILI cases (0-13.60%) ( P=0.016). HRSV was prevalent in autumn and winter from 2016 to 2020 and in spring in 2023. Alternating epidemics of HRSV virus type A and B in Hubei Province from 2016 to 2023 (dominant epidemics of type B in 2016 and 2020; dominant epidemics of type A in 2017-2019 and 2023). Conclusion:SARI and ILI patients under five years old are the main infection groups of HRSV. The seasonal prevalence characteristics of HRSV in Hubei Province from 2016 to 2023 shift from autumn and winter to spring.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.

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.

To investigate the effects of Pithecellobium clypearia extract on the tissue structure,in-flammatory lesions as well as microbial diversity in the intestinal of yellow-feathered broilers.2401-day-old yellow-feathered broilers were randomly divided into four groups(groups A,B,C and D),groups A,B and C were supplemented with Pithecellobium clypearia extract in basal diets with concentrations of 0.5,1.0 and 2.0 g/kg,respectively.Group D served as the control group without adding Pithecellobium clypearia extract in diets,and the full trial period lasted for 70 d.Duodenum and jejunum samples were collected on the 20th,40th and 70th days of the test,the vil-lous/crypt ratio of duodenum and jejunum were calculated,and the mRNA expression level of in-flammatory cytokine as well as related pathways were detected in each group,respectively.In addition,the contents of cecum were collected at 70 th day of the experiment and the microbial di-versity in cecum were also analysed by 16S rDNA sequencing.The results showed that adding 0.5 and 1.0 g/kg of Pithecellobium clypearia extract in the diet could significantly increase the veloci-ty height/crypt depth ratio of duodenum and jejunum(P＜0.05)compared to control group,as well as the mRNA expression level of tight junction protein(CLDN1 and CLDN5)in jejunum,which further improved the structure of mucous of intestinal.Pithecellobium clypearia extract could significantly(P＜0.05)decrease the mRNA expression level of inflammatory cytokine inclu-ding IL-1β,IL-8 and TNF-α,as well as the related pathway genes such as TLR4,MyD88 and NF-κB in jejunum,thus reduced the inflammatory lesions in intestinal.Pithecellobium clypearia ex-tract also could significantly increase the abundance of beneficial microbial such as Parabacteroide and Prevotellaceae,while significantly decrease the abundance of pathogenic microbial such as Proteobacteria in cecum(P＜0.05)and improve the microbial diversity in intestinal.In summary,Pithecellobium clypearia extract could improve the structure of intestinal tissue and the gut barri-er function,as well as the microbial diversity in cecum,and also decrease the inflammatory lesions in jejunum,which is helpful to the intestinal health for yellow-feathered broilers.The present study provides scientific basis for the development of Pithecellobium clypearia as a safe feed additive in the future.

Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68 654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People's Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.155 1.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors'prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).

Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68 654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People's Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.155 1.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors'prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).

Micronutrients (MNs), including vitamins and trace elements, play an indispensable role in human metabolism, immune function and other aspects. Due to the chronic microinflammation and long-term chemoradiotherapy, patients with malignant tumors often suffer from malnutrition, resulting in different degrees of MNs deficiency. In severe cases, MNs deficiency is closely related to the adverse clinical outcomes. Therefore, reasonable MNs supplementation is of great significance in improving the prognosis and quality of life of patients with tumors. Recently, multiple guidelines have made recommendations on the application of MN supplementation in various clinical settings, providing evidence for the standardized MN supplementation in patients with malignant tumors.