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*

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.

Objective : To investigate the fertility level of registered population in Baoshan District, Shanghai Municipality and the incidence of adverse birth outcomes of live births from 2013 to 2022, so as to provide the evidence for improving maternal and child health care strategies. Methods: The data pertaining to live births registered in Baoshan District from 2013 to 2022 were collected through the Shanghai Birth Medical Information System, including the basic information of live births and maternal fertility. The indicators such as fertility level, parity, birth age and incidence of adverse birth outcomes of live births were descriptively analyzed. The trend of crude birth rate and total fertility rate was analyzed by annual percent change (APC). Results: A total of 56 719 live births were registered in Baoshan District from 2013 to 2022. The crude birth rate was 6.54‰, the total fertility rate was 31.78‰, and the sex ratio at birth was 105.61. The crude birth rate showed a downward trend from 2016 to 2022 (APC=-11.054%, P<0.05), and the total fertility rate showed a downward trend from 2017 to 2022 (APC=-10.377%, P<0.05). The proportion of second parity and above showed an increasing trend from 2013 to 2017 (P<0.05) and a decreasing trend from 2017 to 2022 (P<0.05). The maternal childbearing age showed an increasing trend from 2013 to 2022 (P<0.05), the incidence of premature infants and low birth weight infants showed an increasing trend (both P<0.05). The incidence of premature infants and low birth weight infants increased with the rising childbearing age (both P<0.05). Conclusions The fertility level in Baoshan District was relatively low from 2013 to 2022. The proportion of second parity and above showed an upward trend followed by a downward trend. The incidence of premature infants and low birth weight infants increased with the rising childbearing age.

Objective To observe the clinical efficacy of Modified Tongxie Yaofang(Important Formula for Relieving Diarrhea with Pain)in the treatment of patients with diarrhea-predominant irritable bowel syndrome(IBS-D)with liver-depression and spleen-deficiency syndrome.Methods Sixty patients with IBS-D of liver depression and spleen deficiency type were randomly divided into treatment group and control group,30 patients in each group.The patients in the treatment group were given modified Tongxie Yaofang,and the patients in the control group were given Pivacurium Bromide Tablets(Dicetel).Both groups were treated for a 4-week course of treatment.The changes of traditional Chinese medicine(TCM)syndrome scores,irritable bowel syndrome quality of life(IBS-QOL)scores,Hamilton Anxiety Scale(HAMA)scores of the two groups were observed before and after the treatment.Moreover,the efficacy for overall symptomatic improvement in the two groups was evaluated according to the grading of irritable bowel syndrome symptom severity score(IBS-SSS),and the efficacy for improving single symptom such as abdominal pain and diarrhea as well as the relapse after 4 weeks of drug cessation in the two groups were compared.Results(1)After 4 weeks of treatment,the total effective rate for overall symptomatic improvement in the treatment group was 83.33%(25/30),and that in the control group was 43.33%(13/30).The intergroup comparison(tested by chi-square test)showed that the efficacy for overall symptomatic improvement in the treatment group was significantly superior to that in the control group(P＜0.01).(2)After 4 weeks of treatment,the total effective rate for improving single symptom of abdominal pain and diarrhea in the treatment group was 80.00%(24/30),90.00%(27/30),and that in the control group was 43.33%(13/30),46.67%(14/30),respectively.The intergroup comparison(tested by chi-square test)showed that the efficacy for improving single symptom of abdominal pain and diarrhea in the treatment group was significantly superior to that in the control group(P＜0.01).(3)After 4 weeks of treatment,the TCM syndrome scores,IBS-QOL scores,and HAMA scores of patients in both groups were significantly decreased compared with those before treatment(P＜0.05 or P＜0.01),and the decrease in the treatment group was significantly superior to that in the control group(P＜0.01).(4)After 4 weeks of drug withdrawal,the recurrence rate of the treatment group was 24.00%(6/25),which was significantly lower than that of the control group(61.54%,8/13),and the difference was statistically significant between the two groups(P＜0.05).Conclusion Modified Tongxie Yaofang exerts certain effect in treating patients with IBS-D of liver depression and spleen deficiency type,and the decoction is effective on decreasing the scores of symptoms of abdominal pain and diarrhea as well as TCM syndrome scores,improving the quality of life of the patients,and alleviating the anxiety status of the patients.

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.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

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.

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.