Objective To investigate the distribution of CYP2C9*3 and methionine synthetase(MSA2756G) genes related to drug therapy in hyperlipidemia patients of Ningxia region as well as its relation with hyperlipidemia.Methods Genotype was determined by using amplication-created restriction sites(ACRS) and polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP) in hyperlipidemia patients.Results Among the 180 hyperlipidemia patients of Ningxia Hui population,the frequency of CYP2C9*3 alleles was 3.33% and mutation rate in men(3.05%) was significantly higher than that in women(0.28%)(P0.05).The frequency of MSA2756G(15.83%) alleles was significantly higher than that in healthy control group(10.25%)(P

Objective: To systematically evaluate risk factors for cardiometabolic multimorbidity (CMM), so as to provide the evidence for formulating CMM prevention and control strategies. Methods: Publications pertaining to the risk factors for CMM were retrieved from databases, including SinoMed, CNKI, Wanfang Data, VIP, PubMed and Cochrane Library from inception to March 31, 2023. Meta-analysis was performed using the software RevMan 5.4 and Stata 16.0, and sensitivity analysis was performed using the leave-one-out method. The publication bias was evaluated using Egger's test. Results: Totally 494 publications were screened, and 20 publications were included in the final analysis, including 13 cohort studies (covering 1 940 000 participants) and 7 cross-sectional studies (covering 13 000 000 participants). Meta-analysis revealed that female (OR=1.54, 95%CI: 1.40-1.71), middle age (OR=3.80, 95%CI: 3.33-4.34), elderly (OR=2.82, 95%CI: 1.48-5.37), urban resident (OR=1.41, 95%CI: 1.27-1.57), higher education level (OR=2.01, 95%CI: 1.35-3.01), higher economic level (OR=1.21, 95%CI: 1.16-1.25), overweight (OR=1.92, 95%CI: 1.64-2.26), obesity (OR=3.01, 95%CI: 2.30-3.93), central obesity (OR=1.70, 95%CI: 1.12-2.56), smoking (OR=1.27, 95%CI: 1.07-1.51), alcohol consumption (OR=1.27, 95%CI: 1.01-1.59), irregular diet (OR=1.10, 95%CI: 1.02-1.18), insufficient intake of vegetables and fruits (OR=1.12, 95%CI: 1.07-1.17), lack of sleep at night (OR=1.17, 95%CI: 1.08-1.27), and depression (OR=1.50, 95%CI: 1.33-1.69) were risk factors for CMM. Sensitivity analysis of effects of central obesity and alcohol consumption were not robust. No publication bias was examined by Egger's test. Conclusions Female, middle age, elderly, urban resident, higher education level, higher economic level, overweight, obesity, central obesity, smoking, alcohol consumption, irregular diet, insufficient intake of vegetables and fruits, lack of sleep at night and depression are risk factors for CMM.

Objective: To conduct a scoping review on prognostic prediction models for patients with comorbidity of chronic diseases, and understand modeling methods, predictive factors and predictive effect of the models, so as to provide the reference for prognostic evaluation on patients with comorbidity of chronic diseases. Methods: Literature on prognostic prediction models for patients with comorbidity of chronic diseases was collected through SinoMed, CNKI, Wanfang Data, VIP, PubMed, Embase, Cochrane Library and Web of Science published from the time of their establishment to November 1, 2023. The quality of literature was assessed using prediction model risk of bias assessment tool (PROBAST), then modeling methods, predictive factors and predictive effects were reviewed. Results: Totally 2 130 publications were retrieved, and nine publications were finally enrolled, with an overall high risk of bias. Thirteen models were involved, with three established using machine learning methods and ten established using logistic regression. The prediction results of four models were death, with main predictive factors being age, gender, body mass index (BMI), Barthel index and pressure ulcers; the prediction results of nine models were rehospitalization, with main predictive factors being age, BMI, hospitalization frequency, duration of hospital stay and hospitalization costs. Eleven models reported the area under the receiver operating characteristic curve (AUC), ranging from 0.663 to 0.991 6; two models reported the C-index, ranging from 0.64 to 0.70. Eight models performed internal validation, one model performed external validation, and four models did not reported verification methods. Conclusions The prognostic prediction models for patients with comorbidity of chronic diseases are established by logistic regression and machine learning methods with common nursing evaluation indicators, and perform well. Laboratory indicators should be considered to add in the models to further improve the predictive effects.

Objective To investigate confidence and attribution style among nurses and to analyze the correlation between them so as to provide a basis for improving nurses' confidence. Methods From March to May 2017, we investigated 130 nurses by convenience sampling with the general information questionnaire, personal evaluation inventory (PEI) attributional style question-naire (ASQ) at a ClassⅢ Grade A hospital in Taiyuan. Results A total of 130 questionnaires were sent out and 120 valid questionnaires were recovered with 92.31% for the effective rate.The score of PEI of 120 nurses was (135.66±11.81) and 96.67% of nurses were with a general level of confidence. The total scores of positive attribution and negative attribution of nurses were (25.33±3.58) and (23.59±4.51). Correlation analysis showed that the total score of PEI of nurses was positively correlated with the overall indicators of positive events in attribution style (r=0.236,P＜0.05). The dimension of the activity or movement had positive correlations with the overall indicators of adverse events (r=0.268,P＜0.05) and the total score of positive attribution (r=0.254,P＜0.05). Multiple linear regression showed the important predictor variables included educational background and the dimension of positive events lasting of confidence of nurses. Conclusions Nurses are with a general level of confidence. Positive attribution and the high level of education contribute to improving confidence of nurses.

Objective To explore the event-related potentials (ERPs) P300 is changeable or not before and after treatment. Methods 99 cases of patients with first onset of depression diagnosed by DSM-Ⅳ as case group,and 100 cases matched with patients as control group were collected. P300 of two groups were obtained before and after treatment for 6 weeks,12 weeks,24 weeks. T test was used to analysis the difference of indicators of P300 among groups; repeated measure analysis of variance was used to analysis the longitudinal changes. Results shorter latency of N2-P3 ( (P ＜ 0.01 ); and lower amplitude of N2, P3, N2-P3 (P ＜ 0. 05 ), higher amplitude of P2-tency and a upward one in N2-P3 latency in the four periods; a upward trend could also be found in P3, N2-P3 amplitude, but there were no statistical differences(P ＞ 0. 05 ). The results of paired-samples t test: P3, N2-P3 amplitude in case group were higher after treatment for 6 weeks than before, the difference was significant (P ＜ 0.01 ); no significant results were found in P300 latency or amplitude between the 62 cases of depression after treatment for 24 weeks and the 65 normal controls selected (P ＞ 0. 05 ). Conclusion P300 latencies and amplitudes tend to be partly recovered after the acute treatment in patients with depression, but after the long-term therapy not clear.

Objective:To explore the correlations among coping style, self-consistency and stigma in bipolar disorder depression patients.Methods:From June 2017 to December 2018, this study selected 217 bipolar disorder depression inpatients of Department of Mental Health at a Class Ⅲ Grade A hospital in Taiyuan by convenience sampling. All of them were investigated with the general information questionnaire, Perceived Devaluation-Discrimination Scale (PDD) , Self-Consistency and Congruence Scale (SCCS) and the Simplified Coping Style Questionnaire (SCSQ) . Amos 22.0 was used to path analysis.Results:The scores of PDD, SCSQ and positive coping style and negative coping style were (30.92±6.41) , (101.54±16.99) , (21.63±6.46) and (13.36±5.03) respectively. Pearson correlation analysis showed that positive coping style of patients had negative correlations with the self-consistency and stigma ( r=-0.748, -0.655; P<0.01) ; negative coping style had positive correlations with the self-consistency and stigma ( r=0.553, 0.742; P<0.01) ; self-consistency had a positive correlation with the stigma ( r=0.763, P<0.01) . Mediating effect test showed that self-consistency only had partial mediating role between the negative coping style and stigma and the mediating effect accounted for 40.54% of the total effect. Conclusions:The negative coping style not only has a direct impact on the stigma in bipolar disorder depression patients, but also has an indirect impact on stigma by self-consistency. Medical staff can carry out intervention based on this path to reduce the stigma of bipolar disorder depression patients.

Objective To investigate the inhibitory effect of anlotinib combined with anti-PD1 antibody on a colon cancer mouse model,and to explore its possible mechanismfor remodeling the immune system and tumor microenvironment.Methods A BALB/c mouse model was established with colon cancer cells CT26,and the mice were divided randomly into four groups:the control group,the anlotinib group,anti-PD1 antibody group and anlotinib combined with anti-PD1 antibody group,with 6 mice in each.During the experiment,tumor volumes were measured every 2 days using a vernier caliper.After the experiment(on day 14),the weight of the tumors of mice in each group was measured.Flow cytometry was used to detect changes in the number of immune infiltrating cells in tumor tissues,including CD4+T cells,CD8+T cells,monocytic myeloid-derived suppressor cells(M-MDSCs),granulocytic myeloid-derived suppressor cells(G-MDSCs),and M2-type tumor-associated macrophages(M2-TAM).Furthermore,ELISA was employed to detect the levels of vascular endothelial growth factor(VEGF),interferon-γ(IFN-γ),interleukin-17(IL-17),and IL-10 in the serum of mice.Results Compared with the control group,the other three groups showed a decrease in the volume and weight of transplanted tumors in mice(P＜0.05),as well as decreased levels of cytokines VEGF,IL-10(P＜0.05),and IL-17(P＜0.01).Additionally,there was an increase in the level of IFN-γ(P＜0.05).In terms of the number of immune infiltrating cells,the number of M-MDSCs decreased in each treatment group compared to the control group,but without statistically significant difference(P＞0.05).In the combined group,the number of M2-type TAMs decreased compared to the control group and the anti-PD-1 antibody group(P＜0.05).Furthermore,flow cytometry results indicated that compared to the control group,the other three groups showed an increase in the number of CD8+T cells in mice(P＜0.05).The number of CD4+T cells decreased slightly compared to the other groups,but the statistically significant difference was only observed when compared to the anlotinib group(P＜0.05).Conclusion The combination ofanlotinib and anti-PD1 antibody may regulate the levels of cytokines VEGF,IFN-γ,IL-10,and IL-17,thereby influencing the number of immunosuppressive cells in the tumor microenvironment.The tumor microenvironment and immunity can also be improved,thus significantly inhibiting the growth ofmouse colonic transplant tumors.