BACKGROUND:Owing to excellent angiogenesis activity and their participation in the physiological processes such as angiogenesis in osteogenesis,the researches and applications of a variety of metal ions are getting deeper in the field of bone tissue engineering. OBJECTIVE:To systematically explain the mechanism of angiogenesis of different metal ions such as copper ion(Cu2+),magnesium ion(Mg2+),strontium ion(Sr2+),zinc ion(Zn2+),cobalt ion(Co2+)and their current research situation as well as application in the treatment of diseases in the field of bone tissue engineering. METHODS:The two authors used PubMed and CNKI to search the literature published between 2017 and 2022 with the search terms"copper ion,magnesium ion,strontium ion,zinc ion,cobalt ion,bone,angiogenesis"in Chinese and"copper,cuprum,Cu,magnesium,Mg,strontium,Sr,zinc,Zn,cobalt,Co,metal ion,angiogenesis,bone"in English.After reading titles and abstracts,the articles were initially screened,and irrelevant articles were excluded.Finally,114 articles were included for review. RESULTS AND CONCLUSION:(1)Metal ions can regulate angiogenesis by acting on vascular endothelial growth factors,hypoxia-inducible factors,angiogenesis-related genes,endothelial cells and conducting immune regulation of macrophages.(2)Metal ions such as copper,magnesium,strontium,zinc and cobalt are often used to improve the performance of tissue engineering scaffolds due to their significant angiogenic effect.Among them,hydrogels,bioceramics and synthetic polymer materials are widely used at present,and magnesium and its alloys also have advantages due to their excellent bearing capacity.However,these materials all have some defects.Currently,there is no ideal bone replacement material.(3)Various metal ions show different application potentials in bone replacement materials:Copper has antibacterial,angiogenic and osteogenic properties,and is mainly used for bone defects caused by infection and tumors.Magnesium and zinc have strong biodegradability,so the degradation rate should be controlled.Magnesium is corrosive and is mainly used as an alloy.The angiogenesis mechanism of zinc is less involved.Magnesium and strontium are effective in treating osteoporotic bone defects.(4)The above five metal ions(copper,magnesium,strontium,zinc and cobalt)have a significant role in promoting angiogenesis and then promote osteogenesis through angiogenesis.Some ions,such as copper ions,have a bactericidal effect.These ions can be used as a new strategy for the treatment of bone defects caused by tumors,osteoporosis,infection and trauma,but the current clinical trials and application studies of products are relatively insufficient.

Objective: To explore joint effects between body fat mass and insulin resistance with dyslipidemia in children, in order to provide scientific evidence for the prevention and treatment of dyslipidemia in children. Methods: Data was derived from the second follow up survey (2021) of the Huantai Childhood Cardiovascular Health Cohort. The complete information of a total of 1 322 children was included in the study. Multivariate Logistic regression model was used to analyze the association among fat mass percentage (FMP), fat mass index (FMI), subcutaneous fat mass (SFM) and visceral fat mass (VFM) and dyslipidemia. Restrictive cubic spline model was used to analyze dose response relationship between levels of each of the four body fat mass indicators and dyslipidemia. Multivariate Logistic regression model was used to analyze the association of interaction of body fat mass indicators and insulin resistance (IR) with dyslipidemia. Results: Boys had higher VFM and fasting plasma glucose (FPG) levels, while FMP, FMI, SFM, total cholesterol (TC), triglycerides (TG), and high density lipoprotein cholesterol (HDL-C) levels were all lower than those of girls ( t/Z =3.22, 2.58, -15.85, -7.35, -6.49, -2.40, -4.05 , -2.40, P <0.05). After adjusting for all covariates, compared with children with normal FMP, those with higher FMP had an increased likelihood of elevated triglyceride levels ( OR =4.26, 95% CI =2.58-7.09) and low HDL-C levels ( OR =4.10, 95% CI =2.51-6.76). FMI, SFM, and VFM observed similar results to FMP ( P <0.05). Additionally, the additive interaction analyses showed that all four indicators of elevated body fat mass interacted with IR, increasing the likelihood of dyslipidemia in children ( P <0.05). There were linear or nonlinear dose response association between each of four body fat mass indicators and dyslipidemia. Conclusions Elevated body fat mass increases the likelihood of dyslipidemia in children, and the likelihood of dyslipidemia further would increase if children have concomitant IR. Therefore, it is necessary to pay more attention to children with elevated body fat mass and IR to prevent the occurrence of dyslipidemia.

Objective To analyze the health management situation of non-communicable chronic disease(NCD)in Chongqing City and Guizhou Province and its influencing factors.Methods A stratified random sampling method was used to select 16 representative primary medical and health institutions from Chongqing City and Guizhou Province as the research sites,and the data were collected through the combination method of qualitative and quantitative research.Results A total of 760 patients with NCD were surveyed,and the awareness rate,utilization rate and satisfaction rate of the NCD health management program all exceeded 84.2％,while the awareness rate,utilization rate and satisfaction rate of follow-up and categorical intervention were the lowest.The awareness rate of hypertension physical examination in the patients with＜60 years old was lower than that in the patients with 60-＜70 years old(OR=4.28,95％CI:1.43-12.81)and the pa-tients with ≥70 year sold(OR=3.16,95％CI:1.12-8.91);the utilization rate of diabetes screening in the patients with＜60 years-old was lower than that in the patients with ≥70 years old(OR=2.70,95％CI:1.08-6.76)and the awareness rate of hypertension physical examination was lower than that of the patients with 60-＜70 years old(OR=4.24,95％CI:1.01-17.75);the awareness rate of hypertension physical ex-amination in the patients in Chongqing City was higher than that in Guizhou Province(OR=0.15,95％CI:0.04-0.54)and the utilization situation was better than that in Guizhou Province(OR=0.13,95％CI:0.05-0.34).Conclusion The overall situation of NCD management services in Chongqing City and Guizhou Province is good,but the service quality of follow-up and classified intervention projects needs to be further improved.

Objective: To investigate the epidemiological characteristics of varicella outbreaks in primary and middle schools, and to establish a risk predictive model, so as to provide scientific guidance for the prevention of varicella outbreaks in schools. Methods: Based on a nested case-control study, primary and middle schools in 4 districts of Shanghai (Yangpu District and Jingan District) and Hangzhou (Xiaoshan District and Linping District) from January to December 2023 were selected to observe the status of varicella outbreaks. Associated factors of varicella outbreaks were investigated and used for establishing the predictive model, which was evaluated by the Hosmer-Lemeshow(H-L) goodness of fit test, receiver operating characteristic (ROC) curve, Calibration curve, decision curve analysis (DCA). Results: A total of 98 varicella outbreaks were included, with 195 schools without varicella outbreaks during the same period as controls. Eight factors, including the availability of warm water in restroom, availability of hand soap in restroom, average class size, duration of student attendance at school per day, presence of a fulltime school doctor, hesitancy of the school principal towards varicella vaccination, and rates of first and second doses of varicella vaccination, were identified as potential factors for school varicella outbreaks, with statistically significant differences (χ2/Z=10.01, 20.49, 17.43, 9.74, 32.17, 6.60, 2.20, 3.39, P<0.05). The 8 variables above were employed to construct a risk predictive model, and Hosmer-Lemeshow goodness of fit test yielded a χ2 value of 5.863 (P>0.05); the area under the ROC curve (AUC) was 0.846 (95%CI=0.799-0.893); Calibration curve analysis indicated good consistency between predicted and actual values of the model. DCA demonstrated favorable predictive performance of the model over a wide range. Conclusions The predictive model for school varicella outbreaks demonstrates satisfactory accuracy and efficacy. It suggested to make good use of this prediction model and take relevant measures to reduce the risk of varicella transmission in schools.

Objective: To investigate the status of passive smoking among pregnant women in Jinshan District, Shanghai Municipality, so as to provide insights into developing targeted smoking control measures and promoting maternal and infant health. Methods: Pregnant women who had early pregnancy registration at Jinshan District Community Health Service Center from April 2021 to December 2023 were selected as subjects. The basic information, passive smoking and awareness of passive smoking hazards among pregnant women were collected through questionnaire surveys, and passive smoking rate and awareness rate of passive smoking hazards were analyzed. Results: Totally 8 273 questionnaires were allocated, and 8 216 valid questionnaires were recovered, with an effective rate of 99.31%. The mean age of participants was (29.52±4.60) years. There were 4 991 participants with an education of college degree or above, accounting for 60.75%; 3 565 participants with the first pregnancy, accounting for 43.39%; 3 990 primiparas, accounting for 48.56%; 3 193 participants living with smokers, accounting for 38.86%. A total of 3 710 participants passively smoked, with a passive smoking rate of 45.16%. There were 2 817 participants passively smoked in public places, accounting for 75.93%; 2 253 participants passively smoked in workplaces, accounting for 60.73%; 1 563 participants that passively smoked at home, accounting for 42.13%. The awareness rates regarding the hazards of passive smoking to health, causing lung cancer in adults, causing lung diseases in children, causing preterm birth and low birth weight infants, and causing heart diseases in adults were 92.13%, 88.85%, 87.99%, 82.05% and 62.56%, respectively. Conclusion The rate of passive smoking among pregnant women in Jinshan District is comparatively high, while their awareness regarding non-respiratory diseases emanating from passive smoking is comparatively low.

BACKGROUND:In clinical practice,the anterior superior iliac spine and posterior superior iliac spine are usually located by palpation,and the tilt of the pelvis is determined by visual observation method or photogrammetry.Among them,the visual observation method can only have qualitative conclusions,and its reliability is poor.The photogrammetry is not only more convenient and fast,but also can give more accurate quantitative data,which is one of the best clinical evaluation methods.However,there are no studies on the reliability of pelvic posture assessment using photogrammetry in China. OBJECTIVE:To evaluate the pelvic posture by visual observation method and photogrammetry,and to compare the reliability level of the two methods to guide clinical application. METHODS:Forty-five healthy subjects were selected and red marks were made at the bilateral anterior superior iliac spine and posterior superior iliac spine.Pelvic posture was photographed from the front,back(coronal plane),left,and right(sagittal plane).The left and right pelvic tilt angles(α,β angles)were selected from the front and back views,which represented the angle between the bilateral anterior superior iliac spine line or the bilateral posterior superior iliac spine line and the horizontal line.The anterior and posterior pelvic tilt angles(γ,θ angles)were selected from the side view,which represented the angle between the ipsilateral anterior superior iliac spine and posterior superior iliac spine line and the horizontal plane,indicating the sagittal plane pelvic tilt.Evaluation methods included visual observation method and photogrammetry.Two evaluators independently evaluated the pelvic α,β,γ,θ angles using the visual observation method first,and then recorded the pelvic α,β,γ,θ angles using the photogrammetry.After a one-month interval,the visual observation method and photogrammetry were performed again,and the pelvic α,β,γ,θ angles were recorded.The intraclass correlation coefficients were used to analyze the data obtained from the two evaluation methods and the before-and-after measurements:0.90-0.99 as an excellent correlation,0.80-0.89 as a good correlation,0.70-0.79 as a moderate correlation,and≤0.69 as a poor correlation.The standard error of measurement and the minimal detectable change with 95%confidence intervals were calculated to evaluate the inter-rater and intra-rater reliability. RESULTS AND CONCLUSION:(1)The interrater intraclass correlation coefficients of the visual observation method and photogrammetry were as follows:anterior view:0.682 and 0.718,posterior view:0.513 and 0.867,left view:0.739 and 0.960,and right view:0.756 and 0.971.The visual observation method showed poor correlation between the anterior and posterior views and moderate correlation between the left and right views,while the photogrammetry showed moderate correlation for the anterior view,good correlation for the posterior view,and excellent correlation for the left and right views.The standard error values of measurement were as follows:anterior view:3.266 and 1.625,posterior view:4.278 and 1.763,left view:5.935 and 1.787,and right view:5.723 and 1.698.The minimal detectable change values with 95%confidence intervals were as follows:anterior view:9.053 and 4.504,posterior view:11.858 and 4.887,left view:16.451 and 4.953,and right view:15.863 and 4.707.(2)The interrater intraclass correlation coefficients of the visual observation method and photogrammetry were as follows:anterior view:0.452 and 0.723,posterior view:0.483 and 0.904,left view:0.518 and 0.955,and right view:0.657 and 0.968.The visual observation method showed poor correlation in all four directions,while the photogrammetry showed moderate correlation for the anterior view and excellent correlation for the other three directions.The standard error values of measurement were as follows:anterior view:5.651 and 1.610,posterior view:4.237 and 1.523,left view:7.322 and 1.891,and right view:6.509 and 1.781.The minimal detectable change values with 95%confidence intervals were as follows:anterior view:15.664 and 4.463,posterior view:11.744 and 4.222,left view:20.296 and 5.242,and right view:18.042 and 4.937.(3)These results confirm that the sagittal and coronal plane photogrammetries have good intrarater and interrater reliability for evaluating pelvic posture,especially with the use of the photogrammetry,which has good data stability.This method is simple,fast,efficient,accurate,low-cost,and does not cause X-ray damage,and can qualitatively and quantitatively reflect the actual situation of the patient's pelvis,making it suitable for clinical use.

Human epidermal growth factor receptor 2 （HER2）-positive breast cancer is aggressive and prone to metastasis，and the applications of HER2 agents have improved the prognosis of patients with HER2-positive breast cancer. Among the marketed HER2 agents，macromolecular monoclonal antibodies that target the extracellular domain Ⅳ of HER2 were the cornerstone drugs of HER2-positive breast cancer，including trastuzumab，inetetamab，and margetuximab. Trastuzumab is available for the full-line treatment of breast cancer with sufficient proof of evidence-based medicine，sufficient practical experience and controllable safety. Inetetamab and trastuzumab have similar efficacy and controllable safety in HER2-positive metastatic breast cancer and neoadjuvant/ adjuvant therapy. Margetuximab focuses on patients carrying the CD16A-158F allele，and is an option of posterior line treatment for advanced breast cancer. It is necessary to select the most suitable drugs clinically according to the specific condition of the patient.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Neonatal hypoglycemia，a common disorder of abnormal glucose metabolism，occurs especially in preterm newborns.Hypoglycemia that occurs frequently and persistently may result in severe consequences for premature infants，including death or permanent brain damage.In recent years，an increasing number of research findings have demonstrated that the following conditions have been linked to an increased risk of hypoglycemia in preterm infants：maternal sickness during pregnancy，pharmaceutical use during pregnancy，and various pathophysiological states of the preterm infant.This review summarizes the current pathophysiological mechanism，risk factors，diagnosis，prevention，and treatment of hypoglycemia in preterm newborns through analyzing the pertinent literature that has been published recently both domestically and internationally，with the aim of early detection，early diagnosis and early treatment，and reducing the incidence of hypoglycemia.