Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

The study aims to explore the methods for preparing nanocomplexes of Prussian blue nanoparticles (PBNPs) with UNO peptide (UNO-PBNPs) and the functions of the nanocomplexes targeting M2-type macrophages in vitro. PBNPs were prepared by the hydrothermal synthesis method. Subsequently, the peptide UNO (CSPGAKVRC) targeting the mannose receptor was modified on their surface by a heterobifunctional coupling approach. The morphological characteristics of nanoparticles were observed by scanning and transmission electron microscopy. Additionally, their particle size, Zeta potential, and dispersion stability were assessed. The structural characteristics of nanoparticles were analyzed by X-ray diffraction and other techniques. The biological safety of the nanoparticles was evaluated by the CCK-8 assay and hemolysis experiments. Moreover, the targeting performance of UNO-PBNPs towards M2-type macrophages was assessed in vitro. The results showed that the synthesized UNO-PBNPs exhibited uniform cubic morphology, with an average particle size of (202.00±4.21) nm. They were negative charged, well dispersed, and stable. At concentrations ≤ 200 μg/mL, the synthesized UNO-PBNPs led to the hemolysis rate below 5%, demonstrating excellent biocompatibility. The laser confocal imaging results showed that after co-incubation with M2-type macrophages, the FITC-labeled UNO-PBNPs were effectively accumulated in the cells, presenting a distinct fluorescence signal. Quantitative analysis by flow cytometry showed that the intracellular mean fluorescence intensity (6 019.00±346.04) of UNO-PBNPs was higher than that (4 054.00±379.14) of unmodified PBNPs (P < 0.001). In summary, the UNO-PBNPs prepared in this study exhibited a targeting effect on M2-type macrophages, providing a potential method for targeted delivery of PBNPs in the tumor microenvironment and laying a foundation for the remodeling of the tumor immunosuppressive microenvironment.
Ferrocyanides/chemistry* ; Nanoparticles/chemistry* ; Macrophages/drug effects* ; Peptides/chemistry* ; Particle Size ; Animals ; Mannose Receptor ; Mice ; Lectins, C-Type ; Mannose-Binding Lectins ; Receptors, Cell Surface

Objective To investigate the influencing factors for chronic pancreatitis(CP)complicated by pancreatogenic portal hypertension(PPH),and to establish a predictive model.Methods A retrospective analysis was performed for the clinical data of 99 patients with CP complicated by PPH who were hospitalized in The First Affiliated Hospital of Kunming Medical University,Chuxiong Yi Autonomous Prefecture People's Hospital,Wenshan People's Hospital,and Puer People's Hospital from January 2017 to December 2022,and these patients were enrolled as PPH group.The incidence density sampling method was used to select 198 CP patients from databases as control group.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.The Least Absolute Shrinkage and Selection Operator(LASSO)regression model was used to identify the potential predictive factors for CP complicated by PPH,and the predictive factors obtained were included in the multivariate Logistic regression analysis to obtain independent risk factors,which were used to establish a nomogram prediction model.The receiver operating characteristic(ROC)curve,the calibration curve,and the Hosmer-Lemeshow goodness-of-fit test were used to perform internal validation of the model,and the clinical decision curve was used to assess the clinical practicability of the model.Results There were significant differences between the two groups in sex,history of recurrent acute pancreatitis attacks,acute exacerbation of CP,bile duct stones,peripancreatic fluid accumulation,pseudocysts,pulmonary infection,elevated C-reactive protein(CRP),elevated procalcitonin,fibrinogen(FIB),neutrophil-lymphocyte ratio(NLR),gamma-glutamyl transpeptidase,total bilirubin,direct bilirubin,low-density lipoprotein(LDL),serum amylase,D-dimer,and serum albumin(all P<0.05).The predictive variables obtained by the LASSO regression analysis included sex,recurrent acute pancreatitis attacks,bile duct stones,peripancreatic fluid accumulation,pulmonary infection,pseudocysts,CRP,NLR,FIB,and LDL.The multivariate Logistic regression analysis showed that sex(odds ratio[OR]=2.716,P<0.05),recurrent acute pancreatitis attacks(OR=2.138,P<0.05),peripancreatic fluid accumulation(OR=2.297,P<0.05),pseudocysts(OR=2.805,P<0.05),and FIB(OR=1.313,P<0.05)were independent risk factors for CP complicated by PPH.The above factors were fitted into the model,and the Bootstrap internal validation showed that the nomogram model had an area under the ROC curve of 0.787(95%confidence interval:0.730—0.844),and the calibration curve was close to the reference curve.The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good degree of fitting(χ2=7.469,P=0.487).The clinical decision curve analysis showed that the prediction model had good clinical practicability.Conclusion Male sex,recurrent acute pancreatitis attacks,peripancreatic fluid accumulation,pseudocysts,and FIB are independent risk factors for CP complicated by PPH,and the nomogram model established has good discriminatory ability,calibration,and clinical practicability.

kidney deficiency and blood stasis are believed to be the key pathogenesis of recurrent implantation failure （RIF）， and therefore， it is proposed to take kidney-supplementing and blood-invigorating as the basic treatment method， and use it by stages to assist the controlled superovulation program of in vitro fertilization-embryo transfer （IVF-ET）. The focus should be put on nourishing kidney yin， soothing the liver and invigorating blood during down-regulation period， using kidney yin-nourishing medicinals and modified Qinghao Biejia Decoction （青蒿鳖甲汤）. During the ovulation induction period， the focus should be put on nourishing kidney yang， replenishing blood， and promoting blood circulation， with self-made Bushen Culuan Formula （补肾促卵方） in modifications. After transplantation， it is suggested to put focus on tonifying the kidneys and replenishing essence， and self-made Wuzi Yanzong Guchong Decoction （五子衍宗固冲汤） in modifications can be used. At the same time， fetal protection treatment should be carried out for pregnant women， and modified Shou Tai Pill （寿胎丸） can be used to tonify the kidneys and calm the fetus.

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.

Objective To standardize nursing management on postoperative patients with a left ventricular assist-ant device(LVAD).Methods The first draft of the Consensus was formed on the basis of literature review.2 rounds of expert consultations and a round of online meeting discussion were held for adjustments and modifications the draft of the Consensus.Results The recovery rate of the inquiry questionnaire was 93.75%.The authority coefficients of the 2 rounds of inquiry experts were 0.927 and 0.920.The concentration degree of expert opinions for each indicator was greater than 3.5 score,and the coefficient of variation was less than 0.25.The Kendall harmony coefficients for 2 rounds of correspondence were 0.402 and 0.407(P<0.01).The final Consensus formed through expert consultations and meetings includes 7 themes:hemodynamic monitoring,LVAD function monitoring,coagulation function monitoring,percutaneous cable and wound care,exercise rehabilitation care,health education and guidance,and pre-discharge assessment.Conclusion The Consensus is scientific,rigorous,and authoritative.The Consensus covers all aspects of postoperative care for patients with LVAD,and it will benefit to clinical practice.

Objective To explore the application value of adjusting contrast medium dosage according to total body weight(TBW),lean body weight(LBW)and body surface area(BSA)in coronary computed tomography angiography(CCTA)of overweight patients.Methods A total of 150 patients with body mass index(BMI)≥24 kg/m2 undergoing CCTA examination were prospectively selected and randomly divided into TBW group,LBW group,and BSA group,with 50 patients in each group.All three groups used contrast medium iodixanol(320 mg I/mL)and the fixed injection time was 12 s.The dosage of contrast medium was 0.8 mL/kg(TBW);1.04 mL/kg(LBW)for male and 1.11 mL/kg(LBW)for female;BSA 30 mL/m2.The dosage and flow rate of contrast medium were compared among the three groups,the image quality was evaluated by subjective and objective ways,and the correlation between arterial enhancement and TBW,LBW and BSA were analyzed.Results According to a 5-point scale,the image quality of three groups met the clinical diagnostic requirements(both≥3 points).Compared with TBW group,the dosage of contrast medium in LBW group and BSA group decreased by 13.38％and 10.62％respectively,and the flow rate decreased by 13.41％and 10.61％respectively,and the differences were statistically significant(P＜0.05).The coronary CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)in LBW and BSA groups were lower than those in TBW group(P＜0.05),and the variation range of CT values in LBW group were the smallest.There were no statistical differences in subjective scores of image quality among the three groups(P＞0.05).The coronary CT values were slightly correlated with TBW(r=0.342,P=0.015),and were not correlated with LBW or BSA(r=-0.207,P=0.150;r=-0.204,P=0.156).Conclusion LBW is the best body index to calculate the dosage of contrast medium for coronary artery enhancement in overweight patients.

Objective:To explore the application effect of LEARNS(L: listen; E: establish; A: adopt; R: reinforce; N: name; S: strengthen) model in health education for patients undergoing coronary computed tomography angiography(CCTA) examination, so as to provide basis for improving image quality and optimizing examination process.Methods:One hundred and sixteen patients who underwent CCTA examination at the Second Hospital of Shanxi Medical University from April to September 2023 were selected as the research subjects by convenience sampling method. A non-concurrent controlled study was conducted, with 58 patients examined from April to June 2023 as the control group to implement conventional health education, and 58 patients examined from July to September 2023 as the observation group to implement LEARNS model health education. The differences in examination knowledge scores, anxiety level, coronary artery image quality, examination duration and health education satisfaction between the two groups were compared.Results:There were 31 males and 27 females in the control group, aged (51.97 ± 9.39) years old. There were 30 males and 28 females in the observation group, aged (53.48 ± 8.95) years old. There was no significant difference in the examination knowledge scores and anxiety level before the intervention between the two groups ( P>0.05). After the intervention, the examination knowledge score of the patients in the observation group was (12.95 ± 1.15) points, which was higher than (9.02 ± 1.55) points in the control group, the difference was statistically significant ( t=-15.53, P<0.05). The acceptance rate of image quality in the observation group was 96.6% (56/58), which was higher than 87.9% (51/58), but the difference was not statistically significant ( χ2=1.93, P>0.05). The proportion of patients with level 1 image quality in the observation group was 81.0%(47/58), which was higher than 55.2%(32/58) in the control group, the difference was statistically significant ( χ2=8.93, P<0.05). The total score of health education satisfaction in the observation group was (39.81 ± 1.81) points, which was higher than (31.19 ± 3.10) points in the control group, the difference was statistically significant ( t=-18.27, P<0.05). The score of anxiety scale and duration of examination in the observation group were (36.81 ± 2.12) points and (6.72 ± 1.02) min respectively, which were significantly lower than (41.12 ± 2.46) points and (9.40 ± 1.49) min in the control group, the differences were statistically significant ( t=10.11, 11.29, both P<0.05). Conclusions:LEARNS model is used for health education of patients undergoing CCTA examination, which helps to improve patients′ knowledge level, health education satisfaction and coronary image quality. It can also alleviate examination anxiety and shorten examination time. It is worthy of promotion.

Objective:To investigate the risk factors of iodinated contrast agent extravasation in tumor patients with intravenous high pressure injection, and to develop a nomogram model of contrast agent extravasation, so as to provide reference for the detection of extravasation risk factors before examination.Methods:A retrospective case-control study was used in this study. Two hundred and two tumor patients with iodinatedcontrast agent extravasation who underwent enhanced CT examination in the Second Hospital of Shanxi Medical University, Shanxi People′s Hospital and Shanxi tumor Hospital from September 2021 to September 2023 were selected by random sampling method as the case group, and 202 tumor patients without iodinated contrast agent extravasation who underwent enhanced CT examination in the above 3 hospitals during the same period were randomly selected as the control group. Multivariate Logistic regression was used to analyze the independent risk factors of iodinated contrast agent extravasation and a nomogram prediction model was established by R4.3.1 statistical software. The receiver operating characteristic (ROC) curve, calibration curve and Hosmer-Lemeshow goodness of fit test were used to evaluate the predictive efficiency of the model.Results:A total of 404 tumor patients were included in this study. There were 97 males and 105 females in the case group, aged 30-88 (62.97 ± 0.91) years old; and 123 males and 79 females in the control group, aged 31-85 (61.38 ± 0.73) years old. Multivariate Logistic regression analysis showed that age, sex, injection rate, contrast agent concentration, contrast osmotic concentration, long-term chemotherapy and nurses′ working years were independent risk factors for iodinated contrast agent extravasation ( OR values were 0.306-6.365, all P<0.05). The area under the ROC curve predicted by the nomogram model was 0.814 (95% CI 0.714-0.875), the specificity was 78.1%, the sensitivity was 70.2%, the slope of calibration curve was close to 1, and the Hosmer-Lemeshow goodness of fit test χ2 = 11.47, P>0.05. Conclusions:The nomogram model established in this study can accurately predict the risk of iodinated contrast agent extravasation in tumor patients, and provide a reference for the detection of high-risk factors of extravasation before examination.