Based on the theory of “manifestation-body and spirit-qi”， it is considered that the pathogenesis of tic disorders （TD） involves three manifestations of “wind， phlegm and fire”， with wind as the leading factor and phlegm and fire as the accompanying factors. It is advocated to identify the abnormality of body and spirit， summarize the evolution of manifestation， and prescribe flexibly based on qi movement of zang-fu organs. Among them， the common symptoms related to tics are mostly belong to wind symptoms， which originated from lung qi failing to purify and liver qi over-ascent. The method of soothing liver wood and purifying lung gold is adopted， and modified Xiaochaihu Decoction （小柴胡汤） and Cangerzi Powder （苍耳子散） are recommended； Patients with prolonged illness and strange symptoms are often mixed with phlegm， which stemmed from the fact that spleen failing to rise clear and stomach failing to downward turbid. The method of raising spleen-earth and lowering stomach-earth is adopted， and modified Yigong Powder （异功散） and Erchen Decoction （二陈汤） are recommended； Patients with severe symptoms are often mixed with fire symptoms， which originated from discordance of water and fire and hyperactivity of heart fire. The method of interacting heart and kidney and coordinating water and fire is adopted， and modified Xiegan Pill （泻肝丸） and Liuwei Dihuang Pill （六味地黄丸） are recommended， in order to regulate qi movement， harmonize body and spirit， and improve the symptoms.

Objective To analyze the prevalence and related risk factors of mild cognitive impairment (MCI) in the elderly in Zhoukanghang region of Pudong New Area,Shanghai. Methods Clinical data of 1537 elderly people (aged≥60 years old) in Zhoukanghang region of Pudong New Area,Shanghai from Aug. 2019 to Sep. 2022 were collected. Demographic data,cardiovascular risk factors (blood pressure,blood glucose,blood lipids,etc.),family history of dementia,cerebrovascular history,and hippocampal magnetic resonance imaging data were collected,and the MCI was tested by the simple mental state scale (MMSE) and Montreal cognitive assessment (MoCA). According to the clinical diagnostic criteria of MCI,the subjects were divided into MCI group and non-MCI group. The clinical data were compared between the 2 groups,and the independent risk factors of MCI were analyzed by multivariate logistic regression analysis. Results Among the 1537 subjects,226 cases (14.70％) were MCI patients and 1311 cases (85.30％) were non-MCI individuals. Among the 226 patients with MCI,138 had single domain amnestic MCI,33 had multiple domain amnestic MCI,11 had single domain non-amnestic MCI,and 7 had multiple domain non-amnestic MCI. The proportions of male,diabetes mellitus,hyperlipidemia,family history of dementia and cerebrovascular disease in the MCI group were significantly higher than those in the non-MCI group (all P<0.05),and the hippocampal atrophy was significantly higher than that in the non-MCI group (P<0.01). Multivariate logistic regression analysis showed that family history of dementia,cerebrovascular history and hippocampal atrophy were independent risk factors for MCI in the elderly (all P<0.05). Totally 214 patients with MCI were followed up to Feb. 2023,of which 20 cases (9.35％) were diagnosed as Alzheimer's disease and 4 cases (1.87％) as Lewy bodies dementia. Conclusion The prevalence of MCI in the elderly in Zhoukanghang region of Pudong New Area,Shanghai is 14.70％. Family history of dementia,cerebrovascular disease and hippocampal atrophy are independent factors for MCI in the elderly.

Objective To evaluate the biochemical indicators,nutritional status,and immune levels of pa-tients with pulmonary aspergillosis(PA)and other pulmonary diseases,and to construct a predictive model for PA so as to improve the diagnostic efficacy of clinical PA.Methods A total of 40 PA patients and 39 pa-tients with other pulmonary diseases who were hospitalized in the hospital from January 2020 to August 2022 were retrospectively analyzed.The expression trends and differences of serum 1,3-β-D Glucan(G test),galac-tomannan test(GM test),biochemical indexes,blood routine indexes and immune cell subsets were analyzed and compared.The receiver operating characteristic(ROC)curve and binary Logistic regression analysis were used to construct the predictive model for PA by the combination of clinical indicators.Results Serum GM test,G test,albumin,hemoglobin,hematocrit,lymphocytes,B lymphocytes,CD44 T lymphocytes and CD4/CD8 ratio displayed significant differences between PA patients and patients with other lung disease(P＜0.05).The levels of GM test in alveolar lavage fluid of PA patients were significantly higher than that in the serum,and the differences were statistically significant(P＜0.05).The ROC curve analysis showed that the GM test,as an independent predictor of PA,had good predictive accuracy[0.85＜area under the curve(AUC)＜0.95].Besides,albumin,natural killev cells,CD4+T lymphocytes and CD4/CD8 ratio had general predictive efficacy(0.70＜AUC＜0.85).The prediction efficacy of G test and B lymphocytes was poor(AUC＜0.70).The Logistic regression analysis showed that the combination of GM test and serum albumin could construct the optimal prediction model,and the prediction formula of the combined model was as fol-lows:Logit(P)=17.781× GM-0.131×albumin+1.394.The prediction accuracy of the combined model was 0.924(95％CI:0.865-0.982),the sensitivity was 87.5％,the specificity was 81.2％,and the cut off value was 17.781×GM-0.131×albumin-1.735.Conclusion This study retrospectively analyzed the differences in various clinical indicators between patients with PA and patients with other pulmonary diseases,and then screen the key clinical indicators as candidate predictors which displayed significantly different ex-pression between the two groups.The optimal prediction model for the diagnosis of PA is constructed by the combination of GM test and serum albumin through ROC curve and Logistic regression analysis.This model may significantly improve the diagnostic efficiency of PA in clinical,and provide the reference for the early di-agnosis and effective treatment of PA patients.

Objective:To gain a deeper understanding of the fear of recurrence in patients with atrial fibrillation during the "blanking period" after catheter ablation.Methods:The interview outline was developed based on common-sense model of self-regulated. From July to September 2023, purposive sampling was used to select 15 patients with atrial fibrillation in the "blanking period" after catheter ablation at the Cardiovascular Outpatient of the Affiliated Hospital of Qingdao University as research subjects, and semi-structured interviews were conducted. The targeted content analysis method was used to analyze data.Results:Four themes were extracted, namely triggering factors of fear of recurrence, perception of atrial fibrillation recurrence, negative emotional distress, and insufficient ability to cope with atrial fibrillation recurrence.Conclusions:For patients with atrial fibrillation during the "blanking period" after catheter ablation, medical and nursing staff should closely monitor the patient's cognitive level and psychological state, and carry out targeted health education to meet the patient's needs for postoperative disease management, life adaptation, and other aspects, so as to reduce the fear of recurrence in atrial fibrillation patients during the "blanking period" after surgery.

Objectives:To explore the risk factors for death from ruptured acute aortic dissection during emergency treatment,construct and validate a risk prediction model for death from ruptured acute aortic dissection during emergency treatment. Methods:A total of 301 cases of acute aortic dissection patients who were admitted to Chinese Academy of Medical Sciences Fuwai Hospital from January 2018 to August 2021 were included in this study.Patients were divided into survival subgroup(n=239)and death subgroup(n=62)according to whether dissection rupture occurred in the acute stage of the disease.Univariate and multivariate analyses were performed.Logistic regression analysis was used to establish the risk prediction model.The Hosmer-Lemeshow test was conducted to assess the model's goodness of fit,and the receiver operating characteristic curve(ROC curve)was used to evaluate the model's predictive performance.A prospective validation was performed on 129 cases of acute aortic dissection patients admitted to our hospital's emergency department from September 2021 to September 2022. Results:Among the 301 cases of acute aortic dissection patients,there were 62 cases of rupture and death,with an incidence rate of 20.6%.The results of multivariate analysis showed that age(OR=1.066,95%CI:1.034-1.099),type A dissection(OR=0.045,95%CI:0.006-0.364),history of hypertension(OR=0.377,95%CI:0.167-0.850),and concomitant hypotension(OR=4.424,95%CI:1.467-13.340)were determinants of deaths.The model formula was Z=-5.624+0.064×age-0.976×history of hypertension(yes=1,no=0)-3.104×type(Type A=0,Type B=1)+1.487×concomitant hypotension(yes=1,no=0).The Hosmer-Lemeshow test result showed χ2=9.328,df=8,P=0.315,the area under the ROC curve was 0.874,sensitivity was 79.0%,specificity was 81.6%,and the maximum Youden index was 0.606.The model validation result showed that the area under the ROC curve was 0.722,sensitivity was 73.7%,specificity was 69.1%,and accuracy was 89.9%. Conclusions:Age,history of hypertension,dissection type,and combined hypotension are predictors of the risk prediction model for death from dissection rupture in patients with acute aortic dissection during emergency treatment.The model constructed in this study has good predictive performance,which can provide reference for medical staffto quickly identify high-risk patients for death from ruptured acute aortic dissection and timely predictive measures could be highlighted in indicated cases.

Objective:To evaluate the impact of self-crosslinked hyaluronic acid (SCH) gel on endometrium recovery after artificial abortion.Methods:A multicenter, prospective randomized controlled trial was conducted across 18 hospitals from December 2021 to February 2023, involving 382 women who underwent artificial abortion. Participants were randomly allocated to receive either treatment with SCH gel (SCH group) or no treatment (control group) in a 1∶1 ratio. The primary outcome was endometrium thickness in 14 to 18 days after the first postoperative menstruation. Secondary outcomes included changes in menstrual volume during the first postoperative menstruation, menstruation resumption within 6 postoperative weeks, time to menstruation resumption, duration of the first postoperative menstruation, and incidence of dysmenorrhea.Results:Baseline characteristics of participants were comparable between the two groups (all P>0.05), with 95.3% (182/191) in SCH group and 92.7% (177/191) in the control group completed the study. The postoperative endometrial thickness in SCH group was significantly greater than that in the control group [(9.78±3.15) vs (8.95±2.32) mm; P=0.005]. SCH group also had significantly fewer participants with reduced menstrual volume [23 cases (12.6%, 23/182) vs 31 cases (17.5%, 31/177); P=0.038]. Although SCH group experienced less dysmenorrhea during the first postoperative menstrual period, this difference was not statistically significant [28.5% (51/179) vs 37.1% (65/175); P=0.083]. Outcomes were similar between SCH group and the control group regarding the proportion of participants who resumed menstruation within 6 weeks postoperatively, time to menstruation resumption, and duration of the first postoperative menstruation ( P=0.792, 0.485, and 0.254, respectively). No serious adverse events were observed during the study period, and no adverse events were attributed to SCH gel treatment. Conclusion:The application of SCH gel after artificial abortion is safe and might aid in the recovery of the endometrium.

ObjectiveTo evaluate the efficacy and influencing factors of Biejiajianwan in the treatment of primary liver cancer based on real-world data of traditional Chinese medicine （TCM）. MethodClinical diagnosis and treatment data of patients with primary liver cancer admitted to five Grade-A tertiary hospitals in Henan Province from January 2015 to December 2020 were collected from the medical electronic database. The patients treated with Biejiajianwan for ≥30 days were assigned to the exposure group and those without treatment with Biejiajianwan or treated with Biejiajianwan for <30 days to the non-exposure group. The propensity score matching model was used to balance confounding factors between the two groups according to the 1∶1 genetic matching method. Kaplan-Meier method was used for survival analysis and survival curve plotting. Log-rank was used to test the difference in survival rate between the two groups. Univariate analysis of Biejiajianwan in the treatment of primary liver cancer was performed by Log-rank test combined with the Kaplan-Meier method. The factors with statistical significance （P<0.05） were combined with unbalanced factors by the propensity score matching model， and at the same time， clinical common sense and relevant prognostic factors by literature search were considered， which were subjected to multivariate analysis by Cox proportional hazards regression model. ResultA total of 2 207 electronic cases were collected，including 174 cases in the exposure group （Biejiajianwan group） and 2 033 cases in the non-exposure group. After propensity score matching， there were 174 cases in the exposure group and 174 cases in the non-exposure group. The Kaplan-Meier method was used for survival analysis on the matched data， and the Log-rank test results showed that the survival rate of patients with primary liver cancer in the Biejiajianwan group was higher than that in the control group （χ²=12.193， P<0.01）. Cox proportional hazards regression model analysis showed that the regression coefficient of Biejiajianwan was -0.916 4 with the hazard ratio （HR） ［95% confidence interval （CI）］=0.4 （0.239 5-0.668 0）， P<0.01， and the regression coefficient of radiofrequency ablation treatment was -0.976 5 with HR （95% CI）=0.376 6 （0.172 8-0.821 1， P<0.05）. Fibrinogen （FIB） abnormal regression coefficient was 0.481 4 with HR （95% CI）=1.618 4（1.022 0-2.562 9），P<0.05. ConclusionBiejiajianwan can prolong the survival period of patients with primary liver cancer. Radiofrequency ablation is an independent protective factor for Biejiajianwan in the treatment of primary liver cancer，while abnormal FIB are independent risk factors for Biejiajianwan in the treatment of primary liver cancer.

Objective:To explore the scheme of assigning rational scores to the Modified Pediatric Nutritional Risk Screening Tool for children with cerebral palsy(CP) at different Gross Motor Function Classification System(GMFCS) levels.Methods:The clinical data of 360 children with CP hospitalized in the Department of Children′s Rehabilitation, the Third Affiliated Hospital of Zhengzhou University from January to October 2019 were analyzed retrospectively.All the CP children at different GMFCS levels who met the inclusion criteria were subject to nutrition screening and assessment by using the Modified Pediatric Nutritional Risk Screening Tool and the Subjective Global Nutritional Assessment(SGNA) scale.The distribution of malnutrition rates assessed by the SGNA scale among the children at different GMFCS levels was examined.Data between groups were compared by the χ2 test.Children at different GMFCS levels were divided into different subgroups according to the statistical difference.Then, 0 or 1 score was assigned to the Modified Pediatric Nutritional Risk Screening Tool in different subgroups, and different combinations were formed.The nutritional risk screening results of different combinations were evaluated by using the SGNA scale assessment results as a reference. Results:In children with CP, the risk detection rate and incidence rate of malnutrition were 58.1%(209/360) and 36.9%(133/360), respectively.There was no significant difference in the incidence rate of malnutrition between GMFCS Ⅱ and GMFCS Ⅲ, as well as between GMFCS Ⅳ and GMFCS Ⅴ(all P>0.05). Therefore, children with CP were divided into 3 subgroups, namely, group Ⅰ, group Ⅱ to Ⅲ, and group Ⅳ to Ⅴ.Different CP disease scores were given to the Modified Pediatric Nutritional Risk Screening Tool in 3 subgroups, forming 3 different protocols[protocol 1 (0, 0, 1 point); protocol 2(0, 1, 1 point); current protocol (1, 1, 1 point)]. Taking the SGNA scale assessment results as a reference, the sensitivity of protocol 1, protocol 2 and current protocol were 85.7%, 92.5%, and 93.2% respectively.The specificity protocol 1, protocol 2 and current protocol were 81.1%, 78.0%, and 62.6%, respectively.And the Youden indexes of above three protocols were 0.668, 0.705, and 0.558, respectively.The Youden index of protocol 2 was relatively high. Conclusions:The Modified Pediatric Nutritional Risk Screening Tool can effectively identify the risk of malnutrition in children with CP.The scheme of assigning 0 points to children with GMFCS grade Ⅰ and 1 point to children with GMFCS grade Ⅱ to Ⅴ is more reasonable.

Objective:To analyze the application effect of the information platform based on the Internet of Things (IoT) in the screening and management of patients with chronic obstructive pulmonary disease (COPD).Methods:In this cross-sectional study, 151 062 residents who participated in the screening in the districts covered by 33 general hospitals and 289 primary medical institutions within the framework of Henan Provincial Center for COPD Prevention and Treatment from November 2021 to October 2022 were included as the subjects. Spirometer based on the IoT was used to conduct pulmonary function tests for subjects who scored 16 points or more with COPD Screening Questionnaire (COPD-SQ), and the subjects were evaluated and managed through the structured electronic data in the information platform. The distribution characteristics and follow-up of the subjects and COPD patients were described and the application effect of this strategy in patients screening and management was analyzed.Results:A total of 151 062 residents with complete basic information in the information platform completed the questionnaire. High-risk population of COPD accounted for 26.5% (40 042/151 062) of the population who received the questionnaire screening, and more than 50% had respiratory symptoms, such as chronic cough (59.4%), or shortness of breath (77.6%). The proportion of high-risk population increased with age, especially after 50 years old. Compared with non-smokers, the proportion of high-risk group was significantly higher (77.1% vs 16.4%) in the group with smoking index over 600. Biofuel exposure (61.3% vs 22.1%) and family history of respiratory diseases (64.2% vs 22.6%) were associated with an increased proportion of high-risk groups, with statistically significant differences ( P<0.001). 5 268 patients were diagnosed with COPD by pulmonary function tests, and the prevalence of COPD in high-risk groups was 27.8% (5 268/18 965), the prevalence rate of male was 34.0% (3 942/11 588), which was higher than that of female 18.0% (1 326/7 377). 2 950 patients (56.0%) completed at least one follow-up of symptom questionnaire and 510 patients (9.7%) completed more than one follow-up of pulmonary function test. Conclusion:The screening and management strategy of COPD based on the IoT and information technology can improve the efficiency of COPD screening, and improve the status quo of under-diagnosis and discontinuous follow-up of COPD.

Objective To explore the classification and characteristics of common syndromes of primary liver cancer and provide reference for clinical treatment.Methods Collect the four diagnostic information of patients with primary liver cancer from two top three TCM hospitals in Henan Province,and build a database.Using Lantern 5.0 software,based on two-step hidden tree analysis,a hidden structure model was constructed,and common syndromes of primary liver cancer were extracted through comprehensive clustering.SPSS 23.0 software was used for factor analysis and systematic cluster analysis to infer the potential syndromes.Combined with the results of different methods and professional knowledge,the syndrome classification of primary liver cancer was determined.Results A total of 1353 patients with 105 symptoms of primary liver cancer were included.59 symptoms with an analysis frequency≥40 were included to construct a hidden structure model,24 hidden variables were obtained,and 5 common syndromes were obtained by comprehensive clustering,namely,qi deficiency syndrome,liver depression and qi stagnation syndrome,blood stasis syndrome,water dampness stagnation syndrome,liver and gallbladder damp heat syndrome.20 common factors were obtained by factor analysis for symptoms with frequency>3%,and 8 common syndromes were inferred by cluster analysis with common factors.7 common syndromes and characteristics were finally determined by combining different methods and expertise.Conclusion The common syndromes of primary liver cancer are qi deficiency syndrome,liver depression and qi stagnation syndrome,blood stasis syndrome,water dampness stagnation syndrome,yin deficiency syndrome,liver and gallbladder damp heat syndrome,spleen deficiency and dampness stagnation syndrome.The results objectively reflect the actual situation of patients with primary liver cancer,and can provide reference for the treatment of primary liver cancer based on syndrome differentiation.