ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.

Facing the requirements of promoting the healthy China initiative and improving people's health, the "bone health program" was proposed in 2024. In-depth development of a traditional Chinese medicine(TCM) prevention and control system is of strategic significance to the implementation of the "bone health program". Focusing on osteoporosis(OP), a representative disease affecting people's bone health, this paper concludes that accelerating the research on the prevention and control of OP by TCM is conducive to enhancing the knowledge and awareness of OP among the public, and it is beneficial to revealing the evolutionary pattern of OP and improving the understanding and management of this disease. Additionally, it can provide an overall framework for and strengthen the systematicity and completeness of the research on the prevention and treatment of OP by TCM. Meanwhile, it can help to explore new research paradigms and optimize the existing research model, so as to promote innovative breakthroughs in the prevention and treatment of bone health-related diseases by TCM. Under the overall layout of the "bone health program", importance should be attached to the early prevention and the innovation of very early diagnosis and intervention of OP. Emphasis should be put on the discovery of the target network of disease and treatment mechanism for revealing the core pathogenesis of OP and the therapeutic mechanism of TCM. In addition to local lesions of the bone and its clinical outcomes, attention should be paid to the development of multiple metabolic complications. The fusion of advanced interdisciplinary technologies should be promoted for OP and its complications, and thus a research and development system based on clinical application scenarios and driven by big data can be built. The measures above will facilitate the progress in the prevention and treatment of OP and other bone diseases by TCM and provide new momentum for enriching and deepening the research connotation of the "bone health program".
Osteoporosis/therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; China ; Bone and Bones/drug effects*

Objective:To investigate the early clinical characteristics of elderly patients with severe burns and the risk factors on prognosis.Methods:This study was a retrospective case series study. Clinical data of 124 elderly patients with severe burns who met the inclusion criteria and were admitted to the 12 hospitals from January 2015 to December 2020 were collected, including 4 patients from the Fourth People's Hospital of Dalian, 5 patients from Fujian Medical University Union Hospital, 22 patients from Guangzhou Red Cross Hospital of Jinan University, 5 patients from Heilongjiang Provincial Hospital, 27 patients from the First Affiliated Hospital of Naval Medical University, 9 patients from the First Affiliated Hospital of Nanchang University, 10 patients from Affiliated Hospital of Nantong University, 9 patients from Tongren Hospital of Wuhan University & Wuhan Third Hospital, 12 patients from the 924 th Hospital of PLA, 6 patients from Zhangjiagang First People's Hospital, 4 patients from Taizhou Hospital of Zhejiang Province, and 11 patients from Zhengzhou First People's Hospital. The patients' overall clinical characteristics, such as gender, age, body mass index, total burn area, full-thickness burn area, inhalation injury, causative factors, whether combined with underlying medical diseases, and admission time after injury were recorded. According to the survival outcome within 28 days after injury, the patients were divided into survival group (89 cases) and death group (35 cases). The following data of patients were compared between the two groups, including the basic data and injuries (the same as the overall clinical characteristics ahead); the coagulation indexes within the first 24 hours of injury such as prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen degradation product (FDP), international normalized ratio (INR), and fibrinogen; the blood routine indexes within the first 24 hours of injury such as white blood cell count, platelet count, neutrophil-to-lymphocyte ratio, monocyte count, red blood cell count, hemoglobin, and hematocrit; the organ function indexes within the first 24 hours of injury such as direct bilirubin, total bilirubin, urea, serum creatinine, aspartate aminotransferase, alanine aminotransferase, total protein, albumin, globulin, blood glucose, triglyceride, total cholesterol, alkaline phosphatase, creatine kinase, electrolyte indexes (potassium, sodium, chlorine, calcium, magnesium, and phosphorus in blood), uric acid, myoglobin, and brain natriuretic peptide; the infection and blood gas indexes within the first 24 hours of injury such as procalcitonin, C-reactive protein, pH value, oxygenation index, base excess, and lactate; treatment such as whether conducted with mechanical ventilation, whether conducted with continuous renal replacement therapy, whether conducted with anticoagulation therapy, whether applied with vasoactive drugs, and fluid resuscitation. The analysis was conducted to screen the independent risk factors for the mortality within 28 days after injury in elderly patients with severe burns. Results:Among 124 patients, there were 82 males and 42 females, aged 60-97 years, with body mass index of 23.44 (21.09, 25.95) kg/m 2, total burn area of 54.00% (42.00%, 75.00%) total body surface area (TBSA), and full-thickness burn area of 25.00% (10.00%, 40.00%) TBSA. The patients were mainly combined with moderate to severe inhalation injury and caused by flame burns. There were 43 cases with underlying medical diseases. The majority of patients were admitted to the hospital within 8 hours after injury. There were statistically significant differences between patients in the 2 groups in terms of age, total burn area, full-thickness burn area, and inhalation injury, and PT, APTT, D-dimer, FDP, INR, white blood cell count, platelet count, urea, serum creatinine, blood glucose, blood sodium, uric acid, myoglobin, and urine volume within the first 24 hours of injury (with Z values of 2.37, 5.49, 5.26, 5.97, 2.18, 1.95, 2.68, 2.68, 2.51, 2.82, 2.14, 3.40, 5.31, 3.41, 2.35, 3.81, 2.16, and -3.82, respectively, P<0.05); there were statistically significant differences between two groups of patients in whether conducted with mechanical ventilation and whether applied with vasoactive drugs (with χ2 values of 9.44 and 28.50, respectively, P<0.05). Age, total burn area, full-thickness burn area, serum creatinine within the first 24 hours of injury, and APTT within the first 24 hours of injury were the independent risk factors for the mortality within 28 days after injury in elderly patients with severe burns (with odds ratios of 1.17, 1.10, 1.10, 1.09, and 1.27, 95% confidence intervals of 1.03-1.40, 1.04-1.21, 1.05-1.19, 1.05-1.17, and 1.07-1.69, respectively, P<0.05). Conclusions:The elderly patients with severe burns had the injuries mainly from flame burns, often accompanied by moderate to severe inhalation injury and enhanced inflammatory response, elevated blood glucose levels, activated fibrinolysis, and impaired organ function in the early stage, which are associated with their prognosis. Age, total burn area, full-thickness burn area, and serum creatinine and APTT within the first 24 hours of injury are the independent risk factors for death within 28 days after injury in this population.

Objective To explore the influencing factors of type 2 diabetes mellitus(T2DM)merging with diabetic peripheral neuropathy(DPN),and to construct and verify a prediction model based on random forest algorithm.Methods 512 T2DM patients who were hospitalized in our hospital from January 2019 to December 2021 were divided into simple T2DM group(n=292)and T2DM combined with DPN group(DPN,n=220)based on whether or not DPN was present.The general data and biochemical indicators of the two groups were compared.Logistic regression analysis was conducted to identify the influencing factors of DPN in T2DM patients.A random forest model was constructed.Results Compared with the T2DM group,the DPN group showed an increase in weight loss rate,incidence of diabetic retinopathy(DR),WBC and HbA1c(P<0.05),with decrease in DM duration≥10 years,TG and HDL-C(P<0.05).Logistic regression analysis showed that age≥60 years,HbA1c,TG,HDL-C,rate of weight loss,DR were influencing factor for T2DM combined with DPN.The random forest model showed that when the number of trees was 387,the error rate was the lowest.The importance ranking of the influencing factors of T2DM combined with DPN were the rate of weight loss,TG,DR,HDL-C,HbA1c and age≥60 years.Conclusions Age≥60 years,HbA1c,TG,HDL-C,rate of weight loss and DR are influencing factors for T2DM combined with DPN,that can be used for early clinical diagnosis and treatment.

Objective:To evaluate the feasibility of using two-dimensional shear wave elastography (2D-SWE) based liver and spleen elastic hardness (L/S-SWE) in patients with liver cirrhosis, and to determine the exclusion and diagnostic thresholds for early identification of liver cirrhosis.Methods:A total of 574 patients with chronic hepatitis B (hepatitis B for short) were included in this study. The clinical characteristics, L-SWE and S-SWE of the patients were collected, and the differences between cirrhosis group ( n=311) and non cirrhosis group ( n=263) were analyzed. The success rate and stability of liver and spleen elastic surgery were evaluated in two groups. The receiver operating characteristic (ROC) curve was used to analyze the efficacy of L-SWE, S-SWE, aspartate aminotransferase to platelet ratio index (APRI) alone and in combination in diagnosing liver cirrhosis. By analyzing the ROC curve, the double threshold for excluding and diagnosing liver cirrhosis was determined. Results:There was a statistically significant difference in platelet count and APRI between the cirrhosis group and the non cirrhosis group (all P<0.05). In the feasibility assessment of 2D-SWE technology, the success rate and stability of liver and spleen elastic operation were relatively high (success rate: 97.2% vs 81.3%; stability: 0.92 vs 0.84), and the success rate and stability of L-SWE operation were slightly better than S-SWE. The success rate of S-SWE operation in the cirrhosis group was higher than that in the non cirrhosis group ( P<0.05). The correlation analysis results showed that L-SWE, S-SWE, APRI were positively correlated with liver tissue pathological grading ( r=0.677, 0.528, 0.149, all P<0.05). The areas under the ROC curve for identifying liver cirrhosis using L-SWE, S-SWE, and APRI were 0.959, 0.896, and 0.706, respectively. When L-SWE and S-SWE were combined, the area under the ROC curve was 0.987, the sensitivity was 92.6%, and the specificity was 96.0%. The Delong test showed that the combined diagnosis of L-SWE and S-SWE had the same diagnostic efficacy as using L-SWE alone for liver cirrhosis ( P>0.05). Further analysis of the ROC curve showed that the likelihood of liver cirrhosis was low when L-SWE was less than 9.4 kPa, and high when L-SWE was greater than 12.0 kPa. Patients between 9.4 and 12.0 kPa can undergo further S-SWE testing; If the S-SWE was between 17.5 and 29.3 kPa, it was classified as 2D-SWE, which was difficult to determine whether there was liver cirrhosis, and further liver puncture and other examinations were needed. Conclusions:2D-SWE technology has high operational feasibility in the diagnosis of liver cirrhosis, and combined with S-SWE, it helps to improve the diagnostic efficiency of early non-invasive identification of liver cirrhosis, enabling more patients to avoid unnecessary liver puncture examinations.

Objective:To explore the regulatory effects of Qinghua Liangxue Huluo Decoction on oxidative stress and inflammation in acute radiation enteritis in rats, as well as its impact on the PI3K/Akt pathway. Methods:A total of 36 SD rats were randomly divided into four groups using block randomization, namely the control, model, low-dose group (6.17 g/kg), and high-dose (24.68 g/kg) groups, with nine rats in each group. These rats were exposed to X-ray irradiation at a dose of 17.5 Gy to induce acute radiation enteritis, followed by continuous intragastric administration for seven days pre- and post-irradiation. Seven days post-irradiation, the perianal and fecal conditions of rats in each group were observed, and rectal tissues were collected and ground. Enzyme-linked immunosorbent assay (ELISA) was employed to assess the activity of superoxide dismutase (SOD), catalase (CAT) expression, and malondialdehyde (MDA) levels indicative of lipid peroxidation. Quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to analyze the mRNA expression of tumor necrosis factor-ɑ (TNF-ɑ), interleukin-6 (IL-6), and interleukin-1β (IL-1β) in the rectal tissues of each group. Additionally, Western blot was conducted to examine the expression of proteins associated with the PI3K/Akt signaling pathway in rectal tissues. The IEC-6 cells were categorized into the control, radiation, blank, and drug administration groups, with all these groups except for the control group subjected to 10 Gy single irradiation. ELISA was then employed to determine the concentrations of SOD, CAT, MDA, TNF-ɑ, IL-6, and IL-1β in cell supernatants, while Western blot was utilized to assess the expression of PI3K/Akt signaling pathway-related proteins in each group.Results:Compared to the model group, rats in the low-dose and high-dose groups exhibited a trend toward normal perianal and fecal conditions, increased SOD activity ( t = 4.86, 8.50, P < 0.05), elevated CAT expression ( t = 8.72, 14.28, P<0.05), and decreased MDA level ( t = 6.94, 10.66, P < 0.05). Furthermore, the mRNA expression of TNF-ɑ, IL-6, and IL-1β in rectal tissues was significantly inhibited in both low-dose and high-dose groups ( t = 5.60, 2.95, 4.31, 9.16, 4.66, 13.35, P < 0.05), along with lower p-PI3K/PI3K and p-Akt/Akt ratios in rectal tissues compared to the model group ( t = 22.35, 13.56, 18.23, 13.85, P < 0.05). Compared to the radiation group, the drug administration groups (10% drug-containing serum) exhibited increased SOD and CAT expressions ( t = 6.85, 10.44, P < 0.05), as well as decreased MDA expression ( t = 10.44, P < 0.05), in the supernatant. Furthermore, compared to the radiation group, this group displayed significantly inhibited TNF-ɑ, IL-6, and IL-1β concentrations in the cell supernatant ( t = 12.07, 6.87, 14.80, P < 0.05), while lowering p-PI3K/PI3K and p-Akt/Akt ratios in cells ( t = 10.95, 5.59, P < 0.05). Conclusions:Qinghua Liangxue Huluo Decoction demonstrates the potential for mitigating oxidative stress-induced injury and suppressing the expressions of inflammatory factors in rats with acute radiation enteritis. The mechanism behind the potential is likely associated with the negative regulation of the PI3K/Akt signaling pathway.

Objective:To identify serum metabolic markers for early prediction and diagnosis of gestational diabetes mellitus (GDM).Methods:A retrospective case-control study was conducted.The study subjects were from pregnant women enrolled in the Birth Cohort Study of the Women′s Hospital, Zhejiang University, from1 November 2018 to 30 March 2020.100 cases of GDM (GDM group, Age 36.03±3.91) and 150 non-GDM pregnant women matched for clinical information (control group, Age35.49±3.46) were retrospectively selected for the study. Fasting serum samples were collected at 15-20 weeks of gestation (prior to GDM diagnosis, T1 period) and 24-28 weeks of gestation (during GDM diagnosis, T2 period). Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to quantify GDM-related serum metabolic small molecules, including 1, 5-anhydroglucitol, 3-hydroxybutyric acid, phenylalanine, and isoleucine. These molecules, along with basic clinical information (age, gestational week, BMI) and standard biochemical indicators (FPG), were used to develop predictive models for the early detection of GDM at T1 and the diagnosis of GDM at T2. Statistical analysis was performed using t-tests or Mann-Whitney U-tests.Result:The results of the targeted quantitative validation study indicate: At the T1 stage, the level of 1, 5-anhydroglucitol was found to be significantly lower ( P=0.001) in the GDM group compared to the control group. Conversely, the level of isoleucine was significantly higher ( P=0.027) in the GDM group. There were no significant differences in the levels of 3-hydroxybutyrate and phenylalanine between the two groups ( P>0.05). The combination of the 4 metabolites yielded the highest predictive value (AUC) for GDM at T1, with an AUC of 0.670 (95% CI: 0.602-0.739), P<0.001.At the T2 stage, the GDM group had significantly lower levels of 1, 5-anhydroglucitol ( P<0.05) and significantly higher levels of 3-hydroxybutyric acid and isoleucine ( P<0.05) than the control group, with no significant differences in phenylalanine levels ( P=0.626). The combination of the four metabolites had the highest diagnostic value (AUC) for GDM, 0.717 (95% CI 0.651-0.783), P<0.001.The analysis of seven different combinations of GDM prediction/diagnostic models created by combining four metabolites with basic clinical information and routine biochemical indicators showed: We found that the AUC value of the GDM diagnostic model built with FPG, BMI, pre-pregnancy BMI, age, gestational week, and the 4 metabolite indicators in T2 stage was the best, 0.794 (95% CI 0.736-0.851), P<0.001, with a sensitivity of 72%;The best AUC value for the GDM prediction model built with the same indicators at T1 was 0.711(95% CI 0.646-0.776), P<0.001, with a sensitivity of 77%. Conclusions:Four metabolic small molecules, 1, 5-anhydroxyglucitol, 3-hydroxybutyric acid, phenylalanine, and isoleucine, were integrated with clinical indicators (FPG) and clinical information (age, gestational week, BMI) to develop a predictive model for GDM at gestation (T1) and a diagnostic model for GDM at gestation (T2), demonstrating promising clinical prediction and diagnostic capabilities. 1, 5-Anhydroglucitol, 3-hydroxybutyric acid, phenylalanine, and isoleucine show potential as valuable markers for the prediction and diagnosis of GDM.

Objective: To investigate the incidence density of adult sleep disorders (SD) in Yinzhou District, Ningbo City, Zhejiang Province from 2017 to 2023, so as to provide insights into formulating the control measures of SD. Methods: The electronic health records of permanent residents aged 18 years and over in Yinzhou District from 2017 to 2023 were collected through the Yinzhou Regional Health Information Platform. New cases of SD were diagnosed for the first time a year after establishing health records. The incidence density was estimated using Poisson distribution. The temporal, population and regional distribution characteristics of new cases of SD were analyzed using a descriptively epidemiological method. Results: From 2017 to 2023, there were 1 255 129 permanent residents aged 18 years and over in Yinzhou District, with a total observed person-time of 6 292 884 person-years and a median of 5.67 (interquartile range, 3.74) person-years. There were 165 490 new cases of SD, including 67 095 males (40.54%) and 98 385 females (59.46%). The incidence density of SD in Yinzhou District from 2017 to 2023 was 26.30/1 000 person-years, with no significant trend observed (P>0.05). The incidence density of SD was higher in females than in males (29.63/1 000 person-years vs. 22.57/1 000 person-years, P<0.05). The highest incidence density of SD was observed in individuals aged 70 to <80 years (63.30/1 000 person-years), and the lowest was in individuals aged 18 to <30 years (7.24/1 000 person-years). The incidence density of SD in individuals aged 30 years and over was higher than that in individuals aged 18 to <30 years (all P<0.05). The incidence density of SD was 32.03/1 000 person-years in individuals with junior high school education or below, which was higher than individuals with senior high school/technical secondary school education (25.93/1 000 person-years) and college degree and above (18.87/1 000 person-years, all P<0.05). Dongliu Street, Dongjiao Street, and Baihe Street had relatively higher incidence densities of SD, at 45.11/1 000 person-years, 42.87/1 000 person-years and 40.16/1 000 person-years, respectively. Conclusions From 2017 to 2023, there was no significant trend in the incidence density of SD in Yinzhou District. Higher incidence density were observed in females, the elderly, and individuals living in central urban areas.

To explore the effectiveness of "near peer learning" (NPL) in the electromyography(EMG)teaching module for neurology residents.

Reflux esophagitis is an inflammatory disease of esophageal mucosa damage caused by the reflux of gastric contents into the esophagus. Its incidence is on the rise， and it has become an important precancerous disease of esophageal cancer. Studies have shown that the continuous inflammatory response stimulates the esophageal mucosa， causing abnormal proliferation of esophageal epithelial cells and damage to esophageal mucosal tissue， which eventually leads to the occurrence of heterogeneous hyperplasia and even carcinogenesis. The nuclear transcription factor-kappa B （NF-κB） signaling pathway is one of the most classical inflammatory and cancer signaling pathways. It has been found that abnormal activation of the NF-κB signaling pathway is crucial to the development and prognosis of reflux esophagitis and esophageal cancer. It is widely involved in the proliferation， autophagy， apoptosis， and inflammatory response of esophageal epithelial cells and tumor cells， accelerating the transformation of reflux esophagitis to esophageal cancer and making it a potential target for the treatment of reflux esophagitis and esophageal cancer. Currently， there is no specific treatment for reflux esophagitis and esophageal cancer， and large side effects often appear. Therefore， finding a promising and safe drug remains a top priority. In recent years， traditional Chinese medicine scholars have conducted a lot of research on NF-κB signaling pathway， and the results indicate that NF-κB signaling pathway is an important potential target for traditional Chinese medicine to prevent and treat reflux esophagitis and esophageal cancer， but there is a lack of comprehensive and systematic elaboration. Therefore， this paper summarized the relevant studies in recent years， analyzed the relationship among NF-κB signaling pathway， reflux esophagitis， esophageal cancer， and transformation from inflammation to cancer， and reviewed the research literature on the regulation of the NF-κB signaling pathway in traditional Chinese medicine to prevent and treat reflux esophagitis and esophageal cancer， so as to provide new ideas for the prevention and treatment of reflux esophagitis and esophageal cancer.