ObjectiveTo evaluate the clinical effectiveness and safety of Modified Zhigancao Granules （炙甘草汤加味颗粒） for preventing the early recurrence following radiofrequency ablation in patients with atrial fibrillation （AF） of qi-yin deficiency syndrome. MethodsA multi-center， randomized， double-blind， placebo-controlled trial was designed. A total of 116 patients with atrial fibrillation of qi-yin deficiency syndrome who underwent radiofrequency ablation for the first time were enrolled from 3 centers， and they were randomly divided into a treatment group （59 cases） and a control group （57 cases）. Both groups received basic western medicine treatment after surgery. In addition， the treatment group was given oral Modified Zhigancao Granules， while the control group was given oral placebo granules. The dosage for both groups was 20 g each time， twice a day， with continuous treatment for 12 weeks. The recurrence of atrial fibrillation in both groups was recorded at 24 hours， 4 weeks， 8 weeks， and 12 weeks after surgery. The serum levels of B-type natriuretic peptide （BNP）， interleukin-6 （IL-6）， high-sensitivity C-reactive protein （hs-CRP）， and tumor necrosis factor-α （TNF-α） were detected before treatment and 12 weeks after treatment in both groups. The scores of Atrial Fibrillation Effect on QualiTy-of-life （AFEQT） Questionnaire （including scores of the daily life dimension， symptom dimension， treatment worry dimension， treatment satisfaction dimension， and total score） and traditional Chinese medicine （TCM） syndrome scores were compared before treatment and at 4 weeks， 8 weeks， and 12 weeks between groups. Safety indicators such as blood routine， urine routine， liver function， and renal function were monitored before and after treatment. ResultsNine of the treatment group and seven of the control group dropped out. Finally， 50 patients in each group were included in the statistical analysis. At 24 hours， 4 weeks， 8 weeks， and 12 weeks after surgery， the recurrence rates of AF in the treatment group were 2.0% （1/50）， 2.0% （1/50）， 4.0% （2/50）， and 10.0% （5/50）， respectively； while those in the control group were 2.0% （1/50）， 26.0% （13/50）， 28.0% （14/50）， and 34.0% （17/50）， respectively. Compared with the control group at the same time points， the early recurrence rates of AF in the treatment group were significantly lower at 4 weeks， 8 weeks， and 12 weeks after surgery （P＜0.01）. Compared with the baseline within group， BNP， hs-CRP， IL-6， and TNF-α in the treatment group all decreased after 12 weeks of treatment （P＜0.05）； the difference in hs-CRP levels （before vs. after treatment） in the treatment group was higher than that in the control group （P＜0.01）. Compared with the baseline within group， both groups showed decreases in the total score of AFEQT Questionnaire， scores of the daily life dimension， treatment worry dimension， symptom dimension， and TCM syndrome scores at 4 weeks， 8 weeks， and 12 weeks after treatment. Meanwhile， the score of the treatment satisfaction dimension of AFEQT increased in both groups （P＜0.01）， and the improvements in all the above scores in the treatment group were superior to those in the control group at all time points （P＜0.05 or P＜0.01）. All safety indicators of patients in both groups were within the normal range before treatment and at 12 weeks after treatment， and no adverse reactions or adverse events occurred in either group. ConclusionModified Zhigancao Granules can reduce the early recurrence rate following radiofrequency ablation in AF patients with qi-yin deficiency syndrome， improve clinical symptoms and quality of life， suppress inflammatory response， and show good safety.

Objective To investigate the value of CT radiomics combined with CT and preoperative pathological features for predicting postoperative early recurrence(ER)of local advanced esophageal squamous cell carcinoma(LAESCC).Methods Data of 334 patients with LAESCC were retrospectively analyzed.The patients were divided into training set(n=234)and verification set(n=100)at the ratio of 7:3 and were followed up to observe ER(recurrence within 12 months after surgery)or not.Univariate and multivariate logistic regression were used to analyze clinical,CT and preoperative pathological features of LAESCC in patients with or without ER in training set.The independent risk factors of ER were screened,and a CT-preoperative pathology model was constructed.Based on venous phase CT in training set,the radiomics features of lesions were extracted and screened to establish radiomics model,and finally a combined model was established based on radiomics model and the independent risk factors.Receiver operating characteristic(ROC)curves were drawn,and the area under the curve(AUC)was calculated to evaluate the diagnostic efficacy of each model.Results Among 334 cases,168 were found with but 166 without ER.In training set,117 cases were found with while the rest 117 without ER,while in verification set,51 were found with but 49 without ER.The length of lesions,cT stage and cN stage shown on CT and tumor differentiation degree displayed with preoperative pathology were all independent risk factors for ER of LAESCC(all P＜0.05).The AUC of CT-preoperative pathology model in training set and validation set was 0.759 and 0.783,respectively.Ten best radiomics features of LAESCC were selected,and AUC of the established radiomics model in training set and validation set was 0.770 and 0.730,respectively.The AUC of combined model in training and validation set was 0.838 and 0.826,respectively.The AUC of CT radiomics combined with CT and preoperative pathological features in training set was higher than that of CT-preoperative pathologymodel and radiomics model(both P＜0.01).Conclusion CT radiomics combined with CT and preoperative pathological features could effectively predict postoperative ER of LAESCC.

Objective To observe the value of clinical data combined with CT radiomics features for evaluating programmed cell death-ligand 1(PD-L1)status in gastric cancer.Methods Totally 277 gastric cancer patients were retrospectively enrolled and randomly divided into training set(n=195)and validation set(n=82)at the ratio of 7:3.There were 88 cases in PD-L1 positive subgroup and 107 cases in negative subgroup of training set,while 37 and 45 cases of validation set,respectively.The clinical and conventional CT features were compared between subgroups in both sets,the independent influencing factors of PD-L1 status in gastric cancer were analyzed,and radiomic features were screened based on CT data.Then clinical model,radiomics model and clinical-radiomics model were established,and the efficacy of each model for evaluating PD-L1 status in gastric cancer was observed.Results In training set,Borrmann type,cN stage,cM stage,clinical stage,maximum diameter and thickness were significant difference between subgroups(all P＜0.05).Borrmann type,clinical stage and the thickness were all independent influencing factors of PD-L1 positivity(all P＜0.05).The area under the curve(AUC)of clinical model,radiomic model and clinical-radiomics model for evaluating PD-L1 status in gastric cancer in training set was 0.748,0.832 and 0.841,respectively,and was 0.657,0.801 and 0.789 in validation set,respectively.AUC of clinical model was lower than the other models(all P＜0.05).Conclusion Clinical data combined with CT radiomics features was helpful for evaluating PD-L1 status in gastric cancer.

A 41-year-old male was presented with rapidly progression memory impairment for 2 months and episodic limb shaking for 2 weeks as the main manifestations.Physical examination showed verbal disadvantage with decreased memory,attention,comprehension,and orientation.Serum vitamin B12 levels decreased,serum anti gastric parietal cell antibodies and anti-intrinsic factor antibodies were positive.Blood analysis showed macrocytic anemia,neuropsychological scale showed functional impairment in multiple cognitive domains,electrophysiological examination showed peripheral nerve damage,cerebrospinal fluid and imaging examination showed no abnormalities.The patient was diagnosed as having vitamin B12 deficiency dementia,vitamin B12 deficiency related involuntary movement and pernicious anemia.Supplementing with B vitamins and folic acid significantly improved cognitive impairment and eliminated symptoms of limb shaking.The purpose of this case report is to enhance the understanding of clinical doctors about dementia and involunting movement caused by vitamin B12 deficiency,in order to diagnose and treat it early.

Sirtuin2(SIRT2)is an NAD+dependent histone deacetylase that plays a key role in maintaining cellular REDOX potential and modulating pro-inflammatory immune responses.How-ever,its role in acute kidney injury(AKI)has not been proven.To explore the role of SIRT2 in AKI,AKI models were constructed in wild-type(WT)and SIRT2 knockout(SIRT2-/-)mice by injection of lipopolysaccharide(LPS).HE results showed that kidney damage in SIRT2-/-mice was more significant than that in LPS treated WT mice.qRT-PCR and Western blot results showed that more significant changes in inflammatory genes,proteins and oxidative stress proteins in SIRT2-/-mice.The results suggest that SIRT2 deficiency exacerbates LPS induced AKI.

Objective:To analyze the risk factors of internalizing problems in adolescents aged 12 to 18 years,and provide supporting evidence for the scientific prevention and effective control of internalizing problems in adolescents.Methods:By systematically searching the Chinese and English databases such as CNKI,VIP,Wan-fang,PubMed,Web of Science,Psychology and Behavioral Sciences Collection,PsycInfo,PsycArticles and ERIC,literature on risk factors of internalizing problems among adolescents in the past 22 years was collected,and non-clinical literature using CBCL or YSR or TRF scales to measure related internalizing problems were included.Meta analysis was performed using CMA3.0,with r as the effect size indicator and random effects model combined with the effect size of risk factors.Results:Finally,77 and 18 risk factors literatures were included,including 7 risk fac-tors of individuals,7 risk factors of family,and 4 risk factors of school/community.The average correlation between family risk factors and internalizing problems of adolescents was the highest.Among family risk factors,parent-child attachment had the highest correlation.Conclusion:Individual risk factors,family risk factors and school/com-munity risk factors are significantly positively correlated with adolescent internalizing problems,and family risk fac-tors(especially parent-child attachment quality)have the highest correlation with adolescent internalizing problems.

Acute kidney injury (AKI) is a devastating complications of end-stage of liver disease (ESLD), seriously affecting the prognosis of patients. With the deepening understanding of the pathogenesis, the definition, staging, diagnosis and treatment of ESLD with AKI have been gradually optimized. This article reviews the evolution of definition, pathogenesis, diagnosis and treatment of ESLD with AKI, to provide reference for early recognition, precise diagnosis and standardized treatment of this condition.

Objective:To evaluate the knowledge of autism among child health care professionals in primary health care institutions.Methods:The study was a cross-sectional survey. An online questionnaire survey was conducted from February to March 2023 in primary health care institutions in Guangzhou to investigate the knowledge on autism among medical staff engaged in children′s health services and the influencing factors.Results:A total of 341 questionnaires were returned and 312 questionnaires were valid with a recovery rate of 91.5%. The age of 312 respondents was (35.9±7.9) years, of which 303 (97.1%) were female. One hundred and fifty-two (48.7%) child health care professionals in primary health care institutions had received specialist training in assessing the psychological and behavioral development of children, and only 139 (44.6%) reported that they were aware of the"five no"principle for early identification of autism. The questionnaire scores were 88.1% pass (275/312) and 53.2% excellent (166/312). The three questions with low accuracy were: autism can be cured with drugs, autism has a genetic basis and rehabilitation training has no effect, and the accuracy for these questions was 42.6% (133/312), 52.2% (163/312) and 70.2% (219/312), respectively. The passing of autism-related knowledge was positively associated with receiving relevant training ( OR=2.585, 95% CI:1.200-5.569), and the excellence was positively associated with the highest education ( OR=1.939, 95% CI:1.220-3.083) and receiving relevant training ( OR=2.016, 95% CI:1.247-3.260). Conclusions:There is a need for more professional training in autism knowledge among child health care professionals in primary health care institutions.

Objective:To survey the job satisfaction of online contracted nurses who provide " Internet plus nursing services" for reference of hospital managers in improving their management mechanism in this regard.Methods:Based on the two-factor theory, a questionnaire was designed and a purposive sampling method was used to survey the online contracted nurses in Anhui province in April and May 2022. The motivational factors included such five dimensions as workload, work content, colleague relationship, doctor-patient relationship, and their own development, and the healthcare factors included such three dimensions as salary, job recognition and social status. The questionnaire data and job satisfaction scores were analyzed descriptively, and the correlation between the overall job satisfaction of the online contracted nurses, while each dimension was analyzed by Pearson correlation analysis, and the influence of each dimension on job satisfaction was analyzed by stepwise regression analysis.Results:A total of 335 valid questionnaires were recovered. The mean score of job satisfaction of online contracted nurses was (2.26±0.38), with the highest score of (2.56±0.53) for salary satisfaction and the lowest score of (1.78±0.67) for job recognition, and each dimension was positively correlated with job satisfaction ( r=0.34-0.88, P<0.01). Regression analysis showed that workload ( B=0.07), salary ( B=0.11), job content ( B=0.23), social status ( B=0.12), and self-development ( B=0.15) were the main factors affecting their job satisfaction ( P<0.01). Conclusions:The job satisfaction of online contracted nurses was at a medium level, mainly influenced by workload, salary, job content, social status and their own development. It is recommended that hospitals implement multiple targeted measures to improve the job satisfaction of online contracted nurses and promote the healthy development of " Internet plus nursing services" .

Objective:To investigate the predictive model construction of anastomotic thickening character after radical surgery of esophageal cancer based on computed tomogralphy(CT) radiomics and its application value.Methods:The retrospective cohort study was conducted. The clinicopathological data of 202 patients with esophageal squamous cell carcinoma (ESCC) who were admitted to The First Affiliated Hospital of Zhengzhou University from January 2013 to June 2021 were collected. There were 147 males and 55 females, aged (63±8) years. Based on random number table, 202 patients were assigned into training dataset and validation dataset at a ratio of 7:3, including 141 cases and 61 cases respectively. Patients underwent radical resection of ESCC and enhanced CT examination. Observation indicators: (1) influencing factor analysis of malignant anas-tomotic thickening; (2) construction and evaluation of predictive model; (3) performance comparison of 3 predictive models. The normality of continuous variables was tested by Kolmogorov-Smirnov method. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the Mann-Whintney U test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher's exact probability. The consistency between subjective CT features by two doctors and measured CT numeric variables was analyzed by Kappa test and intraclass correlation coefficient (ICC), with Kappa >0.6 and ICC >0.6 as good consistency. Univariate analysis was conducted by corresponding statistic methods. Multivariate analysis was conducted by Logistics stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and area under curve (AUC), Delong test, decision curve were used to evaluate the diagnostic efficiency and clinical applicability of model. Results:(1) Influencing factor analysis of malignant anastomotic thickening. Of the 202 ESCC patients, 97 cases had malignant anastomotic thickening and 105 cases had inflammatory anastomotic thickening. The consistency between subjective CT features by two doctors and measured CT numeric variables showed Kappa and ICC values >0.6. Results of multivariate analysis showed that the maximum thickness of anastomosis and CT enhancement pattern were independent influencing factors for malignant anastomotic thickening[ hazard ratio=1.46, 3.09, 95% confidence interval ( CI) as 1.26-1.71,1.18-8.12, P<0.05]. (2) Construction and evaluation of predictive model. ① Clinical predictive model. The maximum thickness of anasto-mosis and CT enhancement pattern were used to construct a clinical predictive model. ROC curve of the clinical predictive model showed an AUC, accuracy, sensitivity, specificity as 0.86 (95% CI as 0.80-0.92),0.77, 0.77, 0.80 for the training dataset, and 0.78 (95% CI as 0.65-0.89), 0.77, 0.77, 0.80 for the validation dataset, respectively. Results of Delong test showed no significant difference in AUC between the training dataset and validation dataset ( Z=1.22, P>0.05). ② Radiomics predictive model. A total of 854 radiomics features were extracted and 2 radiomics features (wavelet-LL_first order_ Maximum and original_shape_VoxelVolume) were finally screened out to construct a radiomics predictive model. ROC curve of the radiomics predictive model showed an AUC, accuracy, sensitivity, specificity as 0.87 (95% CI as 0.81-0.93), 0.80, 0.75, 0.86 for the training dataset, and 0.73 (95% CI as 0.63-0.83), 0.80, 0.76, 0.94 for the validation dataset, respectively. Results of Delong test showed no significant difference in AUC between the training dataset and validation dataset ( Z=-0.25, P>0.05). ③ Combined predictive model. Results of multivariate analysis and radiomics features were used to construct a combined predictive model. ROC curve of the combined predictive model showed an AUC, accuracy, sensitivity, specificity as 0.93 (95% CI as 0.89-0.97),0.84, 0.90, 0.84 for the training dataset, and 0.79 (95% CI as 0.70-0.88), 0.89, 0.86, 0.91 for the validation dataset, respectively. Results of Delong test showed no significant difference in AUC between the training dataset and validation dataset ( Z=0.22, P>0.05). (3) Performance comparison of 3 predictive models. Results of Hosmer-Lemeshow goodness-of-fit test showed that the clinical predictive model, radiomics predictive model and combined predictive model had a good fitting degree ( χ2=4.88, 7.95, 4.85, P>0.05). Delong test showed a significant difference in AUC between the combined predictive model and clinical predictive model, also between the combined predictive model and radiomics predictive model ( Z=2.88, 2.51, P<0.05 ). There was no significant difference in AUC between the clinical predictive model and radiomics predictive model ( Z=-0.32, P>0.05). The calibration curve showed a good predictive performance in the combined predictive model. The decision curve showed a higher distinguishing performance for anastomotic thickening character in the combined predictive model than in the clinical predictive model or radiomics predictive model. Conclusions:The maximum thickness of anastomosis and CT enhancement pattern are independent influencing factors for malignant anastomotic thickening. Radiomics predictive model can distinguish the benign from malignant thickening of anastomosis. Combined predictive model has the best diagnostic efficacy.