Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Sodium-glucose co-transporter protein 2 inhibitor(SGLT2i)has steadily demonstrated benefits in the treatment of type 2 diabetes complicated with cardiovascular diseases based on evidence-based medicine,but its precise mechanism is yet unknown.We identified type 2 diabetes patients with HFpEF by searching PubMed,Web of Science,China knowledge network(CNKI),and other databases.We then summarized the pathological mechanism of HFpEF caused by type 2 diabetes.At the same time,to link to evidence-based medical,we explored the future of SGLT2i in clinical application.

Objective To investigate the relationship between insomnia,gastrointestinal symptoms,and glycosylated hemoglobin(HbA1c)levels in individuals diagnosed with type 2 diabetes mellitus(T2DM),as well as the related influencing factors.Methods A total of 910 T2DM patients treated in our multicenter from January 2022 to December 2022 were enrolled in this study.General information(gender,age,smoking and drinking history,exercise,course of disease,treatment and complications),HbA1c,Athens Insomnia Scale(AIS)scores and Gastrointestinal Symptoms Rating Scale(GSRS)scores of patients were collected.The differences of sleep and gastrointestinal symptoms between groups were analyzed,and the correlation between the differences and HbA1c was analyzed.Furthermore,the risk factors for non-standard HbA1c were analyzed.Results The AIS score and GSRS score in the HbA1c control group were less than those in the non-standard group(P＜0.01).Insomnia was reported by 37.0％of T2DM patients,and the HbA1c level in the insomnia group was significantly higher than that in the non-insomnia group(10.00％±2.38％vs.8.26％±1.73％,P＜0.01).Gastrointestinal symptoms were present in 57.5％of T2DM patients,and the HbA1c levels in the group with gastrointestinal symptoms were significantly higher than those in the group without gastrointestinal symptoms(9.26％±2.23％vs.8.43％±1.98％,P＜0.01).Furthermore,26.3％of T2DM patients experienced both insomnia and gastrointestinal symptoms.Remarkably,the HbA1c levels in the group with both insomnia and gastrointestinal symptoms were significantly higher than those in the group without either condition(10.18％±2.44％vs.8.45％±1.86％,P＜0.01).Correlation analysis demonstrated a significant association between sleep quality,gastrointestinal function,and HbA1c levels(P＜0.01).The logistic regression analysis result revealed that age,GSRS score,AIS score,and the presence of insomnia combined with gastrointestinal symptoms were independent risk factors for predicting HbA1c≥6.5％(P＜0.01).Having both insomnia and gastrointestinal symptoms concurrently was the strongest risk factor for substandard HbA1c control,and the risk of blood sugar control may increase about 5 times when both appear together.Conclusion Insomnia and gastrointestinal symptoms are common comorbidities in T2DM patients,showing a cross-interfering relationship,and they appear together with poor blood sugar control,interact causally,and amplify each other.

Objective To understand the current status of emergency vaccination of hemorrhagic fever with renal syndrome (HFRS) vaccine in Jingzhou, serological monitoring and the incidence of vaccinated population, and to evaluate the protective effect of emergency vaccination of HFRS vaccine on the control of HFRS epidemic in the city. Methods From 2018 to 2020, HFRS vaccination was carried out in Jianli City, Honghu City, Jiangling County, Gongan County and some townships in Shashi City, Jingzhou City, focusing on people aged 30-59 years old. The incidence of HFRS, vaccination history of cases and HFRS vaccination data of Jingzhou City were collected and analyzed by descriptive epidemiological methods. The sera of those who had not been vaccinated with HFRS vaccine (non-vaccinated group) and those who had been vaccinated with HFRS vaccine (vaccinated group) were collected for IgG antibody detection, and the serum IgG was detected by ELISA method. The correlation between the change in the number of cases in townships where people were vaccinated (comparison between 2017-2018 and 2020) and the vaccination rate before 2019 was analyzed. Results A total of 446 900 doses of HFRS vaccine were vaccinated from 2018 to 2020, covering 22 townships in 5 counties and cities, accounting for 17.19% (22/128) of the total number of townships in the city. A total of 120 953 people completed 3 doses of vaccination, accounting for 11.30% of the total population and 23.77% of the population aged 30-59 in the vaccinated township. The positive rate of IgG in the unvaccinated group in Jingzhou was 9.91% (85/858). The positive rate of IgG in the vaccination group was 40.96% (34/83). The positive rates of IgG in the 1-dose group, 2- dose group, and 3-dose group were 0 (0/2), 18.18% (6/33), and 58.33% (28/48), respectively. From 2017 to 2020, a total of 16 cases had been vaccinated with HFRS before the onset of the disease, and 81.25% (13/16) received 2 doses or less of HFRS vaccine. The changes in the number of cases was negatively correlated with the vaccination rate of the whole population in townships where people were vaccinated (r_s=-0.58, P=0.011). The changes in the number of cases was negatively correlated with the vaccination rate of people aged 30-59 years in townships where people were vaccinated (r_s=-0.46, P=0.055). Conclusion The HFRS vaccination before 2019 has played a certain protective effect on the vaccinated population. However, the inoculation rate of HFRS vaccine in Jingzhou City is still low, and the protective effect on the whole population has not yet appeared.

Objective To investigate the difference of depressive symptoms between adolescents and adults,and to provide possible basis for early detection of adolescent depression.Methods From July 2021 to June 2022,a total of 4 096 patients with"depression"in the psychiatric clinic of the First Affiliated Hospital of Chongqing Medical University were selected as the research objects.They were divided into the adolescent group(n=2 439)and adult group(n=1 657)according to their ages,and the results of self-rating depression scale(SDS)and symptom checklist 90(SCL-90)were collected and analyzed.Results There were significant differences in nationality,residence,native place,family history and degree of depression between the two groups(P<0.05).The adolescent group has more severe depressive symptoms,which were mainly manifes-ted in negative ideas,obsessive-compulsive symptoms,hostile and interpersonal relationship,and psychotic symptoms(P<0.05).The adult group showed more obvious in sleep(P<0.05).Conclusion Early inter-vention should be carried out for adolescents'depressive symptoms such as negative thoughts.

BackgroundAlcohol use disorder （AUD） is a common chronic and relapsing psychiatric disorders. Identifying severe AUD early and intervening promptly is crucial to prevent irreversible harm. Currently， the assessment of AUD severity primarily relies on psychiatric examination by clinicians， and there is limited research on the factors influencing AUD severity and the development of prediction models. ObjectiveTo analyze the factors influencing AUD severity， and construct a risk prediction model to aid in the assessment of disease progression in AUD patients. MethodsA retrospective analysis was conducted on 1 358 first-time hospitalized patients admitted to Nanning Fifth People's Hospital from January 1， 2017 to December 31， 2022. These patients met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） criteria for AUD. Basic patient data was collected， and the patients were divided into two groups based on disease severity： mild-moderate group （n=330） and severe group （n=1 028）. The patients were randomly divided into training and test sets in a 7∶3 ratio. A Logistic regression model was constructed in the training set， and the predictive ability of the model for disease severity was evaluated using the receiver operating characteristic （ROC） curve in the test set. ResultsCompared with the mild-moderate group， the severe group had a higher proportion of patients living in urban areas （χ²=7.804）， were farmers （χ²=17.991）， had a higher frequency of alcohol consumption （more than 1 to 2 drinks/day） （χ²=35.267）， had a higher age at first drinking （t=-3.858）， had a greater number of comorbid somatic disorders （Z=-22.782）， and had higher proportions of γ-Glutamyl transpeptidase （χ²=259.940） and total bilirubin abnormalities （χ²=148.552） （P<0.01）. Logistic analysis conducted in the training set showed that being a farmer （OR=2.024， 95% CI： 1.352~3.029）， having an older age at first drinking （OR=1.075， 95% CI： 1.025~1.129）， drinking outside of mealtimes （OR=3.988， 95% CI： 2.408~6.606）， having total bilirubin abnormalities （OR=1.034， 95% CI： 1.000~1.069）， and having more comorbid somatic diseases （OR=4.386， 95% CI： 2.636~7.298） were identified as risk factors for disease severity in AUD patients. The area under curve （AUC） for this model in the test set was 0.906. ConclusionIn psychiatric hospitals， being a farmer， having an older age at first drinking， drinking outside of mealtimes， having abnormal total bilirubin levels， and having comorbidities with somatic illnesses may be risk factors for severe AUD.

Objective:To investigate the predictive value of platelet/lymphocyte ratio (PLR) for conversion surgery in patients with small bowel obstruction treated with intestinal obstruction catheter. Methods:The clinical data of patients with intestinal obstruction treated by intestinal obstruction catheter in the 900TH Hospital of Joint Logistics Support the Force were retrospectively collected. Logistic regression analyses were performed to identify independent predictors of conversion surgery. Restricted cubic spline (RCS) curves assessed the dose-response relationship between PLR and conversion surgery. Receiver operating characteristic (ROC) curves assessed the validity of the predictive model. Results:A total of 73 patients with small bowel obstruction treated conservatively with intestinal obstruction catheter were included and 25 (34.2％) patients were referred for surgical intervention after poor outcome of conservative treatment. Multivariate logistic regression analysis showed that PLR was an independent predictor of conversion surgery (P=0.032). The RCS analysis showed a non-linear correlation between a progressively higher risk of conversion surgery as the PLR increased. The ROC curves show that the incorporation of PLR into the prediction model significantly enhances its predictive efficacy (All P<0.05). Conclusion:PLR was found to be significantly associated with conversion surgery in small bowel obstruction patients treated with intestinal obstruction catheter,with a non-linear correlation. Incorporating PLR into the prediction model can significantly enhance the predictive efficacy,thus providing reference value for clinicians' decision-making.

Berberine is an antipyretic and detoxicating drug commonly used in clinical practice,and it is currently used for the routine treatment of gastrointestinal diseases such as bacterial gastroenteritis and diarrhea.However,several recent studies have shown that berberine can exert a therapeutic effect on the diseases such as autoimmune hepatitis,viral hepatitis,nonalcoholic fatty liver disease,and liver cancer by regulating the AMPK and TGF-β pathways and altering the composition of intestinal flora.This provides new drugs for the treatment of these diseases,expands the potential indications of berberine,and provides clues for the follow-up research and development of similar drugs.This article summarizes the therapeutic effect and mechanism of berberine on various liver diseases,in order to provide a reference for effective clinical application.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective:To explore the impact of sleep duration, physical exercise, and their interactions on the risk of dyslipidemia in older adults aged ≥80 (the oldest old) in China.Methods:The study subjects were the oldest old from four rounds of Healthy Aging and Biomarkers Cohort Study (2008-2009, 2011-2012, 2014 and 2017-2018). The information about their demographic characteristics, lifestyles, physical examination results and others were collected, and fasting venous blood samples were collected from them for blood lipid testing. Competing risk model was used to analyze the causal associations of sleep duration and physical exercise with the risk for dyslipidemia. Restricted cubic spline (RCS) function was used to explore the dose-response relationship between sleep duration and the risk for dyslipidemia. Additive and multiplicative interaction model were used to explore the interaction of sleep duration and physical exercise on the risk for dyslipidemia.Results:The average age of 1 809 subjects was (93.1±7.7) years, 65.1% of them were women. The average sleep duration of the subjects was (8.0±2.5) hours/day, 28.1% of them had sleep duration for less than 7 hours/day, and 27.2% had sleep for duration more than 9 hours/day at baseline survey. During the 9-year cumulative follow-up of 6 150.6 person years (follow-up of average 3.4 years for one person), there were 304 new cases of dyslipidemia, with an incidence density of 4 942.6/100 000 person years. The results of competitive risk model analysis showed that compared with those who slept for 7-9 hours/day, the risk for dyslipidemia in oldest old with sleep duration >9 hours/day increased by 22% ( HR=1.22, 95% CI: 1.07-1.39). Compared with the oldest old having no physical exercise, the risk for dyslipidemia in the oldest old having physical exercise decreased by 33% ( HR=0.67, 95% CI: 0.57-0.78). The RCS function showed a linear positive dose-response relationship between sleep duration and the risk for hyperlipidemia. The interaction analysis showed that physical exercise and sleep duration had an antagonistic effect on the risk for hyperlipidemia. Conclusion:Physical exercise could reduce the adverse effects of prolonged sleep on blood lipids in the oldest old.