Influenza imposes a significant disease burden on society and individuals annually, and influenza vaccination is considered a significant public health measure to prevent influenza and reduce influenza-related severe disease and death. The low influenza vaccination rate in China is partly due to certain factors affecting the willingness and behavior of individuals to receive them. Scientific research and targeted interventions on these factors can effectively improve the vaccination situation. Commonly used individual-level theoretical models for influenza vaccination behavior include the health belief model, protection motivation theory, and theory of planned behavior. This study reviews theoretical models commonly employed in researching influenza vaccination willingness and behavior. An overview of these practical applications and challenges models is presented to provide references for relevant research and intervention programs in China.

Background::Whether the dynamic weight change is an independent risk factor for mortality remains controversial. This study aimed to examine the association between weight change and risk of all-cause and cause-specific mortality based on the Linxian Nutrition Intervention Trial (NIT) cohort.Methods::Body weight of 21,028 healthy residents of Linxian, Henan province, aged 40-69 years was measured two times from 1986 to 1991. Outcome events were prospectively collected up to 2016. Weight maintenance group (weight change <2 kg) or stable normal weight group was treated as the reference. Cox proportional hazard model was performed to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs) to estimate the risk of mortality.Results::A total of 21,028 subjects were included in the final analysis. Compared with the weight maintenance group, subjects with weight loss ≥2 kg had an increased risk of death from all-cause (HR All-cause = 1.14, 95% CI: 1.09-1.19, P <0.001), cancer (HR Cancer = 1.12, 95% CI: 1.03-1.21, P = 0.009), and heart disease (HR Heart diseases = 1.21, 95% CI: 1.11-1.31, P <0.001), whereas subjects with weight gain ≥5 kg had 11% (HR Cancer = 0.89, 95% CI: 0.79-0.99, P = 0.033) lower risk of cancer mortality and 23% higher risk of stroke mortality (HR Stroke = 1.23,95% CI: 1.12-1.34, P <0.001). For the change of weight status, both going from overweight to normal weight and becoming underweight within 5 years could increase the risk of total death (HR Overweight to normal = 1.18, 95% CI: 1.09-1.27; HR Becoming underweight = 1.35, 95% CI: 1.25-1.46) and cancer death (HR Overweight to normal = 1.20, 95% CI: 1.04-1.39; HR Becoming underweight = 1.44, 95% CI: 1.24-1.67), while stable overweight could increase the risk of total death (HR Stable overweight = 1.11, 95% CI: 1.05-1.17) and death from stroke (HR Stable overweight = 1.44, 95% CI: 1.33-1.56). Interaction effects were observed between age and weight change on cancer mortality, as well as between baseline BMI and weight change on all-cause, heart disease, and stroke mortality (all Pinteraction <0.01). Conclusions::Weight loss was associated with an increased risk of all-cause, cancer, and heart disease mortality, whereas excessive weight gain and stable overweight were associated with a higher risk of stroke mortality. Efforts of weight management should be taken to improve health status.Trial registration::https://classic.clinicaltrials.gov/, NCT00342654.

ObjectiveTo construct a quantitative differentiation model of traditional Chinese medicine （TCM） syndromes by taking primary osteoporosis （POP） with kidney yang deficiency syndrome as an example， and to provide methodological reference for the standardization of syndrome differentiation. MethodsHigh-frequency clinical features of POP were screened by descriptive statistical analysis， and strong association features of POP were obtained by association rule algorithm. On this basis， a latent structure （latent tree） model was established through latent structure analysis， and the implicit and explicit variables （features） related to POP with kidney yang deficiency syndrome were comprehensively clustered， and the clustering results were interpreted by the indexes of mutual information and cumulative information coverage， to explore the primary and secondary symptoms， and to deduce the categories of POP with kidney yang deficiency syndrome based on the probability of the features appearing in the various latent categories. Based on the categories， the clinical feature scores and identification thresholds were calculated， and the syndrome differentiation model of POP with kidney yang deficiency was initially constructed by combining the comprehensive judgment rules. Finally， the results of TCM professionals' judgment were used as the gold standard to further evaluate the effectiveness of the model in assisting the syndrome differentiation. ResultsThe 32 features strongly associated with POP were obtained， and the Bayes information critedon score of the further constructed latent tree model was -15291.93. Based on the mutual information and the cumulative information coverage， the main symptoms of POP with kidney yang deficiency syndrome were bone weakness， fatigue， pale tongue， clear urine， frequent nocturnal urination， cold limbs， thin pulse， white coating， and secondary symptoms were weakness， loss of libido， loose stool， frequent urination， lumbar and knee weakness， and fear of cold. From the probability of the occurrence of each clinical feature in different latent categories of POP with kidney yang deficiency syndrome， the state was introduced as S0 category （none/mild kidney yang syndrome）/ S1 category （moderate kidney yang syndrome）/ S2 category （severe kidney yang syndrome）. Optimizing the preliminary rules of state identification and refining the state of S1 category， the results showed that among 970 patients with POP， there were 520 patients having no/mild kidney yang deficiency syndrome， 224 patients with moderate to mild kidney yang deficiency syndrome， 81 patients with moderate to severe kidney yang deficiency syndrome， and 145 patients with severe kidney yang deficiency syndrome. During the evaluation and validation process， the correct rate of the model assessment index was 0.8835， while the sensitivity was 0.7181， and the specificity was 0.9437. ConclusionCombined with the latent structure analysis of the association rule， the syndrome differentiation model for POP with kidney yang deficiency could be constructed， and the model shows a good quantitative identification effect， which can provide methodological supports for clinicians to improve the efficiency and accuracy of TCM diagnosis.

Objective:To investigate a time series deep learning model for respiratory motion prediction.Methods:Eighty pieces of respiratory motion data from lung cancer patients were used in this study. They were divided into a training set and a test set at a ratio of 8∶2. The Informer deep learning network was employed to predict the respiratory motions with a latency of about 600 ms. The model performance was evaluated based on normalized root mean square errors (nRMSEs) and relative root mean square errors (rRMSEs).Results:The Informer model outperformed the conventional multilayer perceptron (MLP) and long short-term memory (LSTM) models. The Informer model yielded an average nRMSE and rRMSE of 0.270 and 0.365, respectively, at a prediction time of 423 ms, and 0.380 and 0.379, respectively, at a prediction time of 615 ms.Conclusions:The Informer model performs well in the case of a longer prediction time and has potential application value for improving the effects of the real-time tracking technology.

Currently the main treatment of acute myeloid leukemia (AML) is chemotherapy combining hematopoietic stem cell transplantation. However, the unbearable side effect of chemotherapy and the high risk of life-threatening infections and disease relapse following hematopoietic stem cell transplantation restrict its application in clinical practice. Thus, there is an urgent need to develop alternative therapeutic tactics with significant efficacy and attenuated adverse effects. Here, we revealed that umbilical cord-derived mesenchymal stem cells (UC-MSC) efficiently induced AML cell differentiation by shuttling the neutrophil elastase (NE)-packaged extracellular vesicles (EVs) into AML cells. Interestingly, the generation and release of NE-packaged EVs could be dramatically increased by vitamin D receptor (VDR) activation in UC-MSC. Chemical activation of VDR by using its agonist 1α,25-dihydroxyvitamin D3 efficiently enhanced the pro-differentiation capacity of UC-MSC and then alleviated malignant burden in AML mouse model. Based on these discoveries, to evade the risk of hypercalcemia, we synthetized and identified sw-22, a novel non-steroidal VDR agonist, which exerted a synergistic pro-differentiation function with UC-MSC on mitigating the progress of AML. Collectively, our findings provided a non-gene editing MSC-based therapeutic regimen to overcome the differentiation blockade in AML.

Objective:To construct the evaluation index system of lumbar puncture teaching for medical students, aiming to create a scientific assessment and evaluation method covering theoretical knowledge, skill practice, and professional accomplishment, so as to comprehensively evaluate the teaching effect of lumbar puncture for medical students, and improve the practical ability of clinical skills of medical students more effectively.Methods:The evaluation index scheme of lumbar puncture teaching for medical students was initially formulated through literature review and group discussion, and 20 experts related to clinical front-line work and medicine were invited to revise the scheme by applying Delphi expert consultation and applying analytic hierarchy process to quantify the entries and establish the final index weights at all levels.Results:The valid recovery rate of both rounds of expert consultation questionnaires in this study was 100%. The second round of expert consultation was conducted without changing experts, with an authority factor of 0.88. Kendall's coefficient of harmony was 0.136 and 0.184, respectively. After two rounds of expert consultation, the evaluation index system of lumbar puncture teaching for medical students, including 3 primary indicators (theoretical knowledge, comprehensive clinical ability and professionalism), 7 secondary indicators and 22 tertiary indicators, was initially constructed.Conclusion:The evaluation index system of lumbar puncture teaching for medical students constructed in this study is scientific and credible, which can provide quantitative basis for the training and assessment of medical students, and is of great theoretical and practical significance.

Objective:To analyze the epidemiological characteristics of indigenous 2019-nCoV infection in population under 18 years old in 31 provinces of China, and provide evidence for the prevention and control of COVID-19.Method:Demographic and epidemiologic information of children and adolescents with 2019-nCoV infection reported in China between April 29, 2020 and May 31, 2022 were collected from China's Disease Prevention and Control Information System. We analyzed the epidemiological characteristics of the 2019-nCoV infection in children and adolescents and compared the epidemiological characteristics of the cases at different epidemic stages.Result:A total of 63 916 indigenous 2019-nCoV infection cases in children and adolescents were reported in China from April 29, 2020 to May 31, 2022, in which 14 777 (23.12%) were confirmed cases and 49 139 (76.88%) were asymptomatic cases. An obvious incidence peak (40 864 cases) was observed in April, 2022, and two sub-peaks were observed in January, 2020 and January, 2021, respectively. The 2019-nCoV infection cases occurred in 187 cities above prefecture level in 30 provinces, the cases reported in Shanghai (41 562 cases), Changchun (5 753 cases) and Jilin (3 888 cases) accounted for 80.11% of the total cases (51 203/63 916). The proportion of the cases in males was 54.34%. The age of the cases, M ( Q1, Q3) was 10 (5, 14) years, and 57.73% of the cases were 6 - 15 years old. The cases in students accounted for the highest proportion (56.14%). The interval between illness onset and diagnosis of confirmed cases, M ( Q1, Q3) was 1 (0, 2) days. Among the 2019-nCoV infection cases in children and adolescents, 76.88% were asymptomatic, 21.78% were mild ones, 1.32% were moderately severe ones, 0.02% were severe ones, and there were no critical cases and deaths. Compared with other age groups, the proportion of severe or critical cases was higher in children aged <1 year (0.12%). The proportion of asymptomatic infections was highest in Omicron variant epidemic (78.43%). Conclusion:The 2019-nCoV infection cases in children and adolescents aged <18 years in 31 provinces in China were mainly primary and secondary school students aged 6-15 years. Most cases were asymptomatic and mild ones with low clinical severity. It is still necessary to strengthen the surveillance for 2019-nCoV infection in children and adolescents to improve the prevention and control of COVID-19 in school age children.

Esophageal cancer (EC) is one of the most fatal cancers worldwide. According to GLOBOCAN 2020, it was estimated that there were 600, 000 new EC cases and 540 000 EC deaths, while nearly half of all newly diagnosed cases of EC and associated deaths worldwide occurred in China. The annual incidence and mortality of EC have been reduced in the last 20 years in China. However, the early symptoms and signs of EC are not easily distinguished and the disease tends to be within the middle and late stage of pathogenesis when identified, leading to its low 5-year survival rate. Therefore, it could help effectively reduce the burden of EC by clarifying its etiology and risk factors, as well as taking preventive and early diagnosis measures. This article reviews the epidemiology, etiology, screening and early diagnosis of EC in China, to provide systematic references for EC prevention and control.

The 57 th Annual Scientific Meeting of the European Association for the Study of Diabetes (EASD) was held online from 27 September to 1 October 2021. This meeting released the latest research findings of diabetes epidemiology, genetics and immunology, diabetic complications, obesity, fatty liver, heart failure, and diabetes treatment. This paper reviewed the academic progress and research hot points in diabetes mellitus and metabolic diseases.

Pancreatic cancer (PC) is one of most fatal cancers worldwide. According to the 2020 cancer registry data, PC was the 12th common cancer and the 7th leading cause of cancer deaths globally. PC is a rare cancer, but the 5-year survival is very low because of its rapid progress and poor prognosis. The disease burden of PC in China is quite different from western countries, indicating that the distribution of genetic factors, lifestyle and environmental factors varies from different regions. This article reviews the epidemiology, etiology and screening of PC in China, to provide systematic references for PC prevention and control.