Objective: To investigate the impact of milk and egg supplementation on body composition and bone mineral density of rural primary school students in Yunnan Province, so as to provide a reference for developing targeted nutritional intervention strategies. Methods: In December 2023, a cluster sampling method was adopted to select students from grades one to three in four primary schools each from Jinggu and Shidian countys of Yunnan Province, as the intervention group (662 students). Additionally, two boarding primary schools were selected from each county based on the principle of matching scale and student numbers as the control group (455 students). Starting from April 2023, the intervention group received 200 mL milk and 50 g eggs during the break on school days for 8 months, while the control group maintained their usual diet behavior. Body composition was measured by using bioelectrical impedance analysis, and distal radial bone mineral density was assessed via dual energy X-ray absorptiometry in April and December 2023. The intervention effects were analyzed by using a difference in-differences approach. Results: The final measurements of body fat percentage, skeletal muscle mass and fat free mass of the intervention group and the control group of primary school students were significantly higher than the baseline values, and the net effect of milk and egg intervention on these body composition indicators was not statistically significant ( P >0.05, both before and after adjustment). In contrast, bone mineral density increased significantly by 0.02 g/cm 2 in the intervention group. The net intervention effect on bone mineral density was statistically significant ( β=0.02, 95%CI =0.00-0.04), and remained significant after model adjustment ( β=0.02, 95%CI =0.00-0.04) (both P < 0.05). Subgroup analysis showed statistically significant effects of the intervention among girls ( β=0.02, 95%CI =0.00-0.04), day students ( β=0.04, 95%CI =0.01-0.07), and students with normal nutritional status ( β=0.02, 95%CI =0.00-0.04) (all P <0.05). No significant effect of milk and egg supplementation was observed on body composition indicators (all P <0.05). Conclusions Milk and egg supplementation can improve bone mineral density among rural primary school students in Yunnan Province. It is recommended that rural school aged children should increase intake of milk and eggs to support growth and development.

The safety and efficacy of a compound endoscopic dissection knife were evaluated in animal models. The compound endoscopic dissection knife can readily switch between Dual knife mode and IT knife mode. Vitro experiments were done on 30 mucosal lesion models and 30 submucosal lesion models, respectively, of pig stomach tissue. In vivo experiments, mucosal lesion resection were performed on each 10 lesions of gastrointestinal tract in 6 porcine models. The compound endoscopic dissection knife were used in the experimental group, and Dual knife combined with IT knife were used in the control group. Dissection time were recorded. The wounds were biopsied to evaluate muscle damage. The results of vitro experiment showed the dissection time of mucosal and submucosal lesions in the experiment group was significantly shorter than that in the control group (17.93±2.52 min VS 21.07±3.58 min, t=-2.774, P=0.010; 25.73±2.66 min VS 31.80±3.78 min, t=-5.081, P<0.001). The results of vivo experiment showed the dissection time in the experiment group was significantly shorter than that in the control group (21.67±4.10 min VS 25.36±3.83 min, t=-3.602, P=0.001). The muscle damage rate was lower in the experimental group, but the difference was not statistically significant [3.3% (1/30) VS 10.0% (3/30), χ2=1.071, P=0.612]. The compound endoscopic dissection knife is both safe and effective in animal models.

Various types of industrial parks in Shanghai play an important role in promoting industrial upgrading and technological progress， yet they are also fraught with occupational health hazards. To effectively promote workplace health and enable various industrial parks to play a positive role， the Shanghai Municipal Government has proposed accelerating the construction of healthy industrial parks. To meet the requirements for the scientific and standardized construction of healthy parks， the Shanghai Municipal Center for Disease Control and Prevention has compiled the Guidelines for Healthy Industrial Park Construction（Guidelines）. Adhering to the overall principles of scientific， feasibility， advancement， and standardization， the Guidelines address three construction levels： industrial parks， employers， and employees. They set clear requirements for organizational management， healthy environments， health services， health activities， and occupational health in the workplaces， respectively. The Shanghai healthy industrial park evaluation form was provided as an informative appendix for the Guidelines. The Guidelines offer a scientific basis for standardizing and guiding the construction of healthy industrial parks， providing new solutions and technical support for urban occupational health management.

Liver cancer is one of the most threatening diseases to the human body,and most patients are already in the advanced stage at the time of diagnosis,resulting in an extremely high mortality rate.The diagnosis and treatment of early-stage liver cancer is the key to improving the prognosis of patients.Medical imaging is an important method that assists in the diagnosis of liver cancer,and currently,intelligent image recognition technology based on medical imaging data has been widely applied in the field of medical diagnosis and has good application prospects.This article reviews the current status of research on artificial intelligence(AI)methods for the diagnosis of focal liver lesions based on liver medical images and proposes the advantages and shortcomings of current AI diagnosis,so as to provide new research ideas for the intelligent diagnosis of liver cancer in the future.

Objective To explore the relationships between headache and pulmonary function,chronic lung disease(CLD)in middle-aged and elderly people in China.Methods This cross-sectional study collected data from participants aged 45 and above in the 2015 China Health and Retirement Longitudinal Study(CHARLS).Headache was diagnosed based on self-report,and CLD and asthma were defined by self-reported doctor diagnoses or a combination of health assessments and medication use.Peak expiratory flow(PEF)was used as an indicator of pulmonary function.Multivariable logistic regression model was used to analyze the correlations between PEF,asthma,CLD,and headache.Relationship between PEF and headache was analyzed by restricted cubic spline(RCS)analysis and subgroup analysis.Results Among 12 661 middle-aged and elderly participants,the prevalence of headache was 14.42%(1 826/12 661),with a prevalence of 9.07%(558/6 151)in males and 19.48%(1 268/6 510)in females.After full adjustment for covariates,each 1 L/s increase in PEF was associated with a 7%reduction in the risk of headache(odds ratio[OR]=0.93,95%confidence interval[CI]0.90-0.96,P＜0.001).Categorizing PEF into quartiles(Q1-Q4),as the increase of PEF,the risk of headache significantly decreased(ORs for Q2,Q3,and Q4 were 0.92,0.82,and 0.72,respectively,Ptrend＜0.001).Additionally,asthma(OR=1.78,95%CI 1.43-2.20,P＜0.001)and CLD(OR=2.21,95%CI 1.92-2.53,P＜0.001)were positively associated with the risk of headache.RCS analysis indicated a negative linear correlation between PEF and the risk of headache(Poverall＜0.001,Pnon-linear=0.57).Subgroup analysis revealed that a history of hypertension had a significant impact on the negative association between PEF and headache(Pinteraction＜0.001).Conclusion There is a significant negative correlation between PEF and headache among middle-aged and elderly people in China,while asthma and CLD are positively associated with headache.Improving lung function in middle-aged and elderly populations may be an effective strategy for preventing or alleviating headache.

Objective To investigate the clinical effect of digital subtraction angiography(DSA)-guided foam sclerotherapy on lower limb varicose veins.Methods The relevant data of patients with lower limb varicose veins treated by DSA-guided foam sclerotherapy were analyzed retrospectively.At the same time,the safety and efficacy were compared before and after operation according to clinical etiology anatomy pathophysiology(CEAP)and clinical symptoms.Results Among the 278 affected limbs treated,2(0.72％)had neurological complications during treatment,8(2.88％)had chest tightness or cough during treatment,7(2.52％)had thrombophlebitis after treatment,and 28(10.07％)had hyperpigmentation after treatment.No serious complications such as skin necrosis,deep vein thrombosis(DVT)or pulmonary embolism(PE)occurred.There were 48 cases of grade C1 and 201 cases of grade C2 before treat-ment,while 244 cases of grade C0 and 26 cases of grade C1 after treatment,and the differences were statistically significant(P＜0.05).Conclusion DSA-guided foam sclerotherapy on lower limb varicose veins is a safe and effective minimally invasive treatment with high technical success rate.

Glioblastoma (GBM) is the most common and aggressive malignant brain tumor in adults and is poorly controlled. Previous studies have shown that both macrophages and angiogenesis play significant roles in GBM progression, and co-targeting of CSF1R and VEGFR is likely to be an effective strategy for GBM treatment. Therefore, this study developed a novel and selective inhibitor of CSF1R and VEGFR, SYHA1813, possessing potent antitumor activity against GBM. SYHA1813 inhibited VEGFR and CSF1R kinase activities with high potency and selectivity and thus blocked the cell viability of HUVECs and macrophages and exhibited anti-angiogenetic effects both in vitro and in vivo. SYHA1813 also displayed potent in vivo antitumor activity against GBM in immune-competent and immune-deficient mouse models, including temozolomide (TMZ) insensitive tumors. Notably, SYHA1813 could penetrate the blood-brain barrier (BBB) and prolong the survival time of mice bearing intracranial GBM xenografts. Moreover, SYHA1813 treatment resulted in a synergistic antitumor efficacy in combination with the PD-1 antibody. As a clinical proof of concept, SYHA1813 achieved confirmed responses in patients with recurrent GBM in an ongoing first-in-human phase I trial. The data of this study support the rationale for an ongoing phase I clinical study (ChiCTR2100045380).

Objective:To evaluate the efficacy and safety of mitoxantrone hydrochloride liposome injection in the treatment of peripheral T-cell lymphoma (PTCL) in a real-world setting.Methods:This was a real-world ambispective cohort study (MOMENT study) (Chinese clinical trial registry number: ChiCTR2200062067). Clinical data were collected from 198 patients who received mitoxantrone hydrochloride liposome injection as monotherapy or combination therapy at 37 hospitals from January 2022 to January 2023, including 166 patients in the retrospective cohort and 32 patients in the prospective cohort; 10 patients in the treatment-na?ve group and 188 patients in the relapsed/refractory group. Clinical characteristics, efficacy and adverse events were summarized, and the overall survival (OS) and progression-free survival (PFS) were analyzed.Results:All 198 patients were treated with mitoxantrone hydrochloride liposome injection for a median of 3 cycles (range 1-7 cycles); 28 cases were treated with mitoxantrone hydrochloride liposome injection as monotherapy, and 170 cases were treated with the combination regimen. Among 188 relapsed/refractory patients, 45 cases (23.9%) were in complete remission (CR), 82 cases (43.6%) were in partial remission (PR), and 28 cases (14.9%) were in disease stabilization (SD), and 33 cases (17.6%) were in disease progression (PD), with an objective remission rate (ORR) of 67.6% (127/188). Among 10 treatment-na?ve patients, 4 cases (40.0%) were in CR, 5 cases (50.0%) were in PR, and 1 case (10.0%) was in PD, with an ORR of 90.0% (9/10). The median follow-up time was 2.9 months (95% CI 2.4-3.7 months), and the median PFS and OS of patients in relapsed/refractory and treatment-na?ve groups were not reached. In relapsed/refractory patients, the difference in ORR between patients with different number of treatment lines of mitoxantrone hydrochloride liposome injection [ORR of the second-line, the third-line and ≥the forth-line treatment was 74.4% (67/90), 73.9% (34/46) and 50.0% (26/52)] was statistically significant ( P = 0.008). Of the 198 PTCL patients, 182 cases (91.9%) experienced at least 1 time of treatment-related adverse events, and the incidence rate of ≥grade 3 adverse events was 66.7% (132/198), which was mainly characterized by hematologic adverse events. The ≥ grade 3 hematologic adverse events mainly included decreased lymphocyte count, decreased neutrophil count, decreased white blood cell count, and anemia; non-hematologic adverse events were mostly grade 1-2, mainly including pigmentation disorders and upper respiratory tract infection. Conclusions:The use of mitoxantrone hydrochloride liposome injection-containing regimen in the treatment of PTCL has definite efficacy and is well tolerated, and it is a new therapeutic option for PTCL patients.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers

Background Long working hours are a common occupational health risk factor. The problem of long working hours and its impact on health of medical staff cannot be ignored. Objective To investigate long working hours in medical staff of tertiary grade A hospitals in Shanghai, and evaluate the relationships of long working hours with occupational stress and fatigue accumulation. Methods A total of 1531 medical staff in departments of emergency, internal medicine, surgery, intensive care unit (ICU), anesthesiology, and obstetrics and gynecology from 6 hospitals in 6 districts of Shanghai were selected using stratified random sampling. A structured questionnaire was used to collect information on social demographics, occupational characteristics, andbehavior and lifestyle. The Core Occupational Stress Scale (COSS) and the Self-diagnostic Questionnaire on the Accumulation of Fatigue of Laborers were used to assess occupational stress and fatigue accumulation condition. Chi-square test and Kruskal-Wallis H test were used to analyze the distributions of long working hours, occupational stress, and fatigue accumulation, log-binomial models were used to analyze the relationships of long working hours with occupational stress and fatigue accumulation, and job title stratified models were also constructed. Results The average weekly working hours of the study subjects was (47.84±11.40) h, 65.90% of the medical staff worked more than 40 h every week. The percentages of the weekly working hours categories of 41-48 h, 49-54 h, and ≥55 h were 31.42%, 13.46%, and 21.03%, respectively. The positive rates of occupational stress and fatigue accumulation were 25.87% and 65.64% respectively, and the differences among different age, gender, job title, education, length of service, and shift system groups were statistically significant (P<0.05). The results of log-binomial regression showed that after adjusting for gender, age, monthly income, marital status, education, physical exercise, smoking, job position, length of service, and shift system, weekly working hours were an influencing factor of occupational stress and fatigue accumulation (P<0.05). Compared with weekly working hours≤40 h, the risk, PR(95%CI), of reporting occupational stress and fatigue accumulation increased to 2.595 (1.989, 3.385) and 1.578 (1.349, 1.845) times respectively for weekly working hours≥55 h (P<0.001). The results of job title stratification analysis showed that the risk of occupational stress among physicians, nurses, and medical technicians increased when weekly working hours≥55 h versus ≤40 h, and the PR (95%CI) values were 2.003 (1.383, 2.902), 1.971 (1.068, 3.636), and 2.770 (1.220, 6.288), respectively (P<0.05). The risk of fatigue accumulation was increased in physicians when weekly working hour≥55 h versus ≤40 h, with a PR (95%CI) value of 1.594 (1.208, 2.103) (P<0.001). Conclusion Long working hours are common among medical personnel and related to the occurrence of occupational stress and fatigue accumulation.