Objective:To explore the current situation of nurses′growth mindset ability and study its related influencing factors, so as to serve as a reference for improving nurses′ growth mindset ability.Methods:This was a cross-sectional survey, and 310 nurses from 5 tertiary hospitals in Shandong Province, Shanghai City, and Guangdong Province were selected as the survey subjects from April to June 2022 using convenience sampling method. The General Information Questionnaire, the Nurses′ Growth Mindset Assessment Scale, the Psychological Adaptability Self-Assessment Scale, the Chinese Big Five Personality Inventory Brief Version and the Team Psychological Safety Atmosphere Scale were used to investigate the growth mindset ability of nurses and its influencing factors.Results:Finally, 307 valid questionnaires were collected. There were 46 males and 261 females, aged 20-50 years old. The scores of the Nurses′ Growth Mindset Assessment Scale were (108.89 ± 29.32) points, the scores of the Psychological Adaptability Self-Assessment Questionnaire were 10.0(0.0, 20.0) points, the scores of the Chinese Big Five Personality Inventory Brief Scale were (162.37±43.82) points, and the scores of the Team Psychological Safety Atmosphere Scale were (55.84 ± 15.12) points. The highest education level ( B = 0.028, P = 0.040), professional title ( B = 0.033, P = 0.032), family economic support ( B = 0.025, P = 0.048), Chinese big five personality ( B = 0.039, P = 0.037), team psychological safety atmosphere ( B = 0.600, P<0.001) and psychological adaptability ( B = 0.313, P<0.001) had a significant effect on nurses′ growth mindset ability. Conclusions:The growth mindset ability of nurses is at the upper middle level, and the educational background, professional title, family economic support, personality characteristics, team psychological safety atmosphere and psychological adaptability of nurses are the significant influencing factors. Hospitals, social and health education systems can combine influencing factors to provide a harmonious working atmosphere for nurses, focusing on the improvement of nurses′ academic qualifications and the promotion of professional titles, cultivating nurses′ psychological adaptability, improving nurses′growth mindset ability, and improving the overall quality of the nursing service team.

Objective:To investigate the epidemiological characteristics of herpangina (HA) and its correlation with the incidence of hand, foot and mouth disease (HFMD) in children aged ≤6 years in Yinzhou District of Ningbo from 2017 to 2022.Methods:Epidemiological characteristics of HA in children aged ≤6 years were analyzed based on the electronic medical record data and public health management data from 2017 to 2022 collected from the Health Information Platform of Yinzhou. The incidence of HFMD was calculated using the infectious disease reporting data from the public health management data. Autoregressive integrated moving average model and cross-correlation function were used to evaluate the correlation between the incidence of HA and HFMD.Results:From 2017 to 2022, a total of 25 385 cases of HA were detected in children aged ≤6 years in Yinzhou, the male-to-female ratio of the cases was 1.12∶1. The average annual incidence of HA was 4 986.67/100 000, with the highest incidence in 2018 (10 477.09/100 000) and the lowest incidence in 2020 (870.88/100 000). The incidence peak of HA was during June to July. The incidence of HA was higher in age group 1 year (7 950.45/100 000) than in other age groups. The incidences of HA in Yunlong, Jiangshan and Xiaying were higher, with the incidence of 8 764.31/100 000, 8 377.58/100 000 and 7 965.31/100 000, respectively. The correlation coefficients between the incidence of HA and HFMD at lag day 0, 7, 12 and 18 were 0.199, 0.139, 0.090 and 0.086, respectively (all P<0.05). Conclusions:From 2017 to 2022, the incidence of HA was high in children aged ≤6 years in Yinzhou with obvious seasonality and area difference. The incidence of HA was correlated with the incidence of HFMD and the incidence of HFMD had certain lags. The comprehensive prevention and control of HA and HFMD should be further strengthened by prioritizing HA surveillance and implementing integrated surveillance and management of HA and HFMD.

Purpose: Reports showed that some of intrahepatic cholangiocarcinoma (ICC) patients with lymph node metastasis (LNM) may also gain survival benefit undergone resection. However, the effect of the extent of LNM on prognosis and surgical indication is barely discussed. Methods: From September 1994 to November 2018, primary ICC patients undergone initial curable surgery were enrolled. Based on the extent of LNM, we divided these patients into 4 groups, including patients with no LNM (group N0), LNM to hepatoduodenal ligament or common hepatic artery (region A, group A), LNM to gastrohepatic lymph nodes for left liver ICC and periduodenal and peripancreatic lymph node for right liver ICC (region B, group B), or LNM beyond these regions (region C, group C). Multivariable Cox regression analysis was performed to identify the prognostic factors for recurrencefree survival (RFS) and overall survival (OS) in all groups. Results: A total of 133 patients were enrolled. There were 56, 21, 17, and 39 patients in groups N0, A, B, and C, respectively. There was significant difference between groups N0 and C in RFS (P < 0.001) and OS (P = 0.002). When we compared group N0 + A + B with group C, we also found that RFS (P < 0.001) and OS (P = 0.007) were significantly different. In multivariable analysis, the extent of LNM was an independent risk factor for RFS (P < 0.050). Conclusion ICC patients with the LNM to regions A and B could still achieve good prognosis with resection. Surgery should be carefully considered when LNM to region C.

OBJECTIVE: To investigate the effect of lateral prone position ventilation in patients with acute respiratory distress syndrome (ARDS). METHODS: A prospective control study was conducted. A total of 75 patients with moderate to severe ARDS admitted to the department of critical care medicine of Jingxian Hospital in Anhui province from January 2020 to December 2022 were selected as the research objects. According to the envelope method, the patients were divided into the lateral prone position ventilation group (38 cases) and the traditional prone position ventilation (PPV) group (37 cases), using lateral prone position ventilation and traditional PPV, respectively. The mechanical ventilation parameters were set according to the ARDS treatment guidelines and lung protective ventilation requirements in both groups, and the time of prone position for the first 3 times was not less than 16 hours per day. General data of patients were recorded, including heart rate (HR), mean arterial pressure (MAP), airway resistance and lung static compliance (Cst) before prone position (T0), 1 hour (T1), 4 hours (T2), 8 hours (T3), and before the end of prone position (T4), oxygenation index (PaO₂/FiO₂) before the first prone position (t0) and 12 hours (t1), 24 hours (t2), 48 hours (t3), and 72 hours (t4) after the intensive care unit (ICU) admission, as well as the incidence of pressure injury (PI) and vomiting, tracheal intubation time, and mechanical ventilation time. Repeated measures analysis of variance was used to compare the effects of different prone positions on patients before and after the prone position. RESULTS: There were no significant differences in age, gender, body mass index (BMI), acute physiology and chronic health evaluation II (APACHE II), underlying diseases, HR, MAP, pH value, PaO₂/FiO₂, blood lactic acid (Lac), arterial blood pressure of carbon dioxide (PaCO₂) and other general information between the two groups. The HR (intergroup effect: F = 0.845, P = 0.361; time effect: F = 1.373, P = 0.247; interaction: F = 0.245, P = 0.894), MAP (intergroup effect: F = 1.519, P = 0.222; time effect: F = 0.169, P = 0.954; interaction: F = 0.449, P = 0.773) and airway resistance (intergroup effect: F = 0.252, P = 0.617; time effect: F = 0.578, P = 0.679; interaction: F = 1.467, P = 0.212) of T0-T4 between two groups showed no significant difference. The Cst of T0-T4 between the two groups showed no significant difference in the intergroup effect (F = 0.311, P = 0.579) and the interaction (F = 0.364, P = 0.834), while the difference in the time effect was statistically significant (F = 120.546, P < 0.001). The PaO₂/FiO₂ of t0-t4 between the two groups showed no significant difference in the intergroup effect (F = 0.104, P = 0.748) and the interaction (F = 0.147, P = 0.964), while the difference in the time effect was statistically significant (F = 17.638, P < 0.001). The group factors and time factors were tested separately, and there were no significant differences in the HR, MAP, airway resistance, Cst, PaO₂/FiO₂ between the two groups at different time points (all P > 0.05). The Cst at T1-T4 and PaO₂/FiO₂ at t1-t4 in the two groups were significantly higher than those at T0/t0 (all P < 0.05). There were no significant differences in the tracheal intubation time [days: 6.75 (5.78, 8.33) vs. 7.00 (6.30, 8.45)] and mechanical ventilation time [days: 8.30 (6.70, 9.20) vs. 7.40 (6.80, 8.75)] between the lateral prone position ventilation group and the traditional PPV group (both P > 0.05). However, the incidences of PI [7.9% (3/38) vs. 27.0% (10/37)] and vomiting [10.5% (4/38) vs. 29.7% (11/37)] in the lateral prone position ventilation group were significantly lower than those in the traditional PPV group (both P < 0.05). CONCLUSIONS Both lateral prone position ventilation and traditional PPV can improve Cst and oxygenation in patients with moderate to severe ARDS. The two types of prone position have little influence on HR, MAP and airway resistance of patients, and there is no difference in the influence on tracheal intubation time and mechanical ventilation time of patients. However, the lateral prone position ventilation mode can reduce the incidence of PI and vomiting, and is worthy of clinical promotion and application.
Humans ; Respiration, Artificial ; Prone Position ; Prospective Studies ; Lung ; Respiratory Distress Syndrome/therapy* ; Respiration ; Vomiting

This paper summarized clinical experience of Professor Peng Qinghua in the staged treatment of autoimmune uveitis （AU）. The pathogenesis of AU is always based on root-cause deficiency and manifestation excess， with weakness of healthy qi as the root， and accumulation of wind， dampness and blood stasis as the minifestation. Syndrome differentiation and treatment is usually carried out according to different stages of disease. During the acute stage， deficiency of healthy qi and stagnation of wind-dampness are the key pathomechanisms， so the treatment is to replenish qi and activate blood， dispel wind and remove dampness， and self-made Yiqi Huoxue Qufeng Chushi Decoction （益气活血祛风除湿方） can be used. During remission stage， deficiency of spleen and kidney is the key mechanism， so the treatment is to tonify the spleen and kidney， replenish the essence and brighten the eyes， and self-made Yijing Mingmu Decoction （益精明目汤） can be used. Meanwhile， it was recommened to treat early， prevent and interrupt the disease， commonly combine with Chinese patent medicine Zhengqing Fengtongning tablets （正清风痛宁缓释片）， and promote regulation of living to prevent recurrence.

Objective:To analyze the viral genome sequence of novel coronavirus infected persons in Baotou City, understand the mutation characteristics of novel coronavirus genome in the process of transmission among cases, and explore the transmission rule of novel coronavirus in the clustered populations.Methods:Nine throat swabs samples (No. 1 - 7, No. 9, and No. 10), two sputum samples (No. 8, No. 11, and No. 11 sample was from No. 10 case), and one surface smear sample (No.12, and No. 12 sample was from No. 10 case) were collected from 10 confirmed cases of novel coronavirus infection in Baotou City from January 25 to February 21, 2020. Samples 1 and 3 were from single cases, and the rest were from clustered cases. The virus genome was sequenced by metagenomic next-generation sequencing (mNGS), and single nucleotide polymorphism (SNP) mutation sites were screened by comparing with NC_045512, a reference strain of novel coronavirus. Combined with relevant epidemiological information, gene mutation, virus typing, and evolutionary traceability analysis were carried out.Results:The results of viral genome mNGS showed that 76 SNP mutation sites were detected in 12 samples compared with the reference strain NC_045512, including 3 (3.95%) transitions and 73 (96.05%) reversals. There were 19 (25.00%) synonymous mutations and 57 (75.00%) non-synonymous mutations. The analysis of nucleotide and amino acid variation sites showed that mutations were found at five sites (T2821C, C6548T, T16464C, G16858A and T251C) in all the clustered cases (cases 2, 4 - 10). In the single cases, sample 1 had mutations at C9245T and A15340T, and sample 3 had mutation at C13T. The virus typing analysis showed that the samples 1 and 3 belonged to the L type of novel coronavirus, while the rest belonged to the S type of novel coronavirus. The results of genomic evolutionary relationship analysis showed that all the samples could be divided into two branches. The branches of sample 1 and 3 belonged to single cases, and the rest belonged to family clustered cases.Conclusion:The genomic characteristics of the clustered cases of novel coronavirus infection in Baotou City are basically consistent with the epidemiological investigation results, and the transmission of the virus is mainly related to close contact and family gathering.

【Objective】 To compare the performance of five commonly used variable selection methods in high-dimensional biomedical data variable screening so as to explore the effects of sample size and association among candidate variables on screening results and provide evidence for the development of variable selection strategy in high-dimensional biomedical data analysis. 【Methods】 Variable selection algorithms were implemented based on R-programming language. Monte Carlo method was used to simulate high-dimensional biomedical data under different conditions to evaluate and compare the performance of different variable selection methods. Variable selection performance was evaluated based on the true positive rate and true negative rate in screening. 【Results】 For specified high-dimensional data, the variable selection performance was improved for all the methods when sample size was increased, and the association between candidate variables did affect variable screening results. Simulation results indicated that the elastic network algorithm yielded the best screening performance, LASSO algorithm took the second place, and ridge algorithm did not work at all. 【Conclusion】 Elastic network algorithm is an ideal variable screening method for high-dimensional data variable screening.

Objective:Data being missed is an unavoidable problem in cohort studies. This paper compares the imputation effect of eight common missing data imputation methods involved in cutting longitudinal data through simulation study to provide a valuable reference for the treatment of missing data in longitudinal studies.Methods:The simulation study is based on R language software and generates missing longitudinal data by the Monte Carlo method. By comparing the average absolute deviation, average relative deviation, and TypeⅠerror from the regression analysis of different imputation methods, the imputation effect of varying imputation methods on missing longitudinal data and the influence on subsequent multivariate analysis are evaluated.Results:The mean imputation, k nearest neighbor (KNN), regression imputation, and random forest all have a similar imputation effect, which is also steady. However, the hot deck is inferior to the above imputation methods. K-means clustering and expectation maximization (EM) algorithm are among the worst and unstable. Mean imputation, EM algorithm, random forest, KNN, and regression imputation can control TypeⅠerror. Still, multiple imputations, hot deck, and K-means clustering cannot effectively manage the TypeⅠerror.Conclusions:For missing data in longitudinal studies, mean imputation, KNN, regression imputation, and random forest can be used as better imputation methods under the mechanism of missing at random. When the missing ratio is not too large, multiple imputations and hot deck can also perform well, but K-means clustering and EM algorithm are not recommended.

PURPOSE: Hepatocellular carcinoma (HCC) is an aggressive disease with high recurrence rate. However, current staging systems were lack of predictive capacity for HCC recurrence. We aimed to develop prognostic nomograms based on inflammation-related markers for HCC patients underwent hepatectomy. MATERIALS AND METHODS: We recruited 889 surgically treated patients from two medical centers. Independent prognostic factors were identified by cox regression analyses. Nomograms for recurrence-free survival (RFS) and overall survival (OS) were established, and validated internally and externally. The performance, discrimination, and calibration of nomograms were assessed, and compared with existed staging systems. RESULTS: Neutrophil to lymphocyte ratio (NLR) and gamma-glutamyl transpeptidase to platelet ratio (GPR) were the two inflammation-related factor that independently correlated with survival. NLR, GPR, international normalized ratio (INR), microvascular invasion, satellite lesions, tumour number, tumour diameter, and macrovascular invasion were used to construct nomogram for RFS while GPR, total bilirubin, INR, α-fetoprotein, microvascular invasion, satellite lesions, tumour diameter, and macrovascular invasion were for OS. In the training cohort, the C-index of nomogram was 0.701 (95% confidence interval [CI], 0.669 to 0.732) for RFS and 0.761 (95% CI, 0.728 to 0.795) for OS. These results received both internal and external validation with C-index of 0.701 (95% CI, 0.647 to 0.755) and 0.707 (95% CI, 0.657 to 0.756) for RFS, and 0.706 (95% CI, 0.640 to 0.772) and 0.708 (95% CI, 0.646 to 0.771) for OS, respectively. The nomograms showed superior accuracy to conventional staging systems (p<0.001). CONCLUSION: The nomograms based on inflammation-related markers are of high efficacy in predicting survival of HCC patients after hepatectomy, which will be valuable in guiding postoperative interventions and follow-ups.
Bilirubin ; Blood Platelets ; Calibration ; Carcinoma, Hepatocellular ; Cohort Studies ; Discrimination (Psychology) ; Follow-Up Studies ; gamma-Glutamyltransferase ; Hepatectomy ; Humans ; Inflammation ; International Normalized Ratio ; Lymphocytes ; Neutrophils ; Nomograms ; Recurrence

Objective To investigate the effects of siRNA targeting decoy receptor 3 on the cell proliferation of ovarian carcinoma cell CAOV3. Methods We constructed siRNA targeting decoy receptor 3,which was transfected into ovarian carcinoma cells CAOV3 , and observed the effects of DcR3 siRNA on the cell proliferation of CAOV3 cell by MTT experiment. The experiment contained 3 groups, including the normal control group (CAOV3 cell was not transfected), the negative control group (CAOV3 cell was transfected with blank vector) and the experimental group (CAOV3 cell was transfected with DcR3 siRNA). The expression levels of DcR3 mRNA were detected by Real-time PCR. Results DcR3 siRNA recognized and degraded DcR3 mRNA in CAOV3 cells of the experimental group. DcR3 mRNA of the experimental group was significantly decreased. The proliferation of CAOV3 cell was significantly decreased by DcR3 siRNA comparing with the normal control group and negative control group (P < 0.01). Conclusion DcR3 siRNA can inhibit the proliferation of ovarian cancer cell line CAOV3 by recognized and degraded DcR3 mRNA.