Objective To study the medication law of Professor Wang Zhongyi in the treatment of tic disorder(TD)based on data mining technology.Methods From January 1,2022 to December 31,2023,the cases treated for TD in Professor Wang Zhongyi's outpatient clinic,which participated in the real-world study were collected.A comprehensive database has been established,screening information related to effective case diagnosis and treatment.Utilizing Excel 2021,R 4.4.2,Origin 2024 and Cytoscape 3.9.1,this study conducted medication frequency analysis,property-flavor-meridian tropism analysis,efficacy analysis,association rule analysis,clustering analysis and co-occurrence network analysis to summarize medication law.Results Totally 640 effective prescriptions were included,involving 208 kinds of Chinese materia medica.The properties were mainly warm,cold,and neutral.The flavors were mainly pungent,bitter and sweet.The meridians were mainly liver meridians.The therapeutic categories were primarily composed of liver-calming and endogenous wind-stopping drugs,along with exterior-resolving prescriptions.Correlation analysis obtained 17 strongly correlated rules.Clustering analysis obtained 5 types of medicinal combinations.The therapeutic categories were primarily composed of liver-calming and endogenous wind-stopping drugs,along with exterior-resolving prescriptions.Conclusion According to the comprehensive statistical analysis,Uncariae Ramulus cum Uncis,Gastrodiae Rhizoma,Haliotidos Concha,Paeoniae Radix alba,Bupleuri Radix,Puerariae Lobatue Radix and Scorpio are the core drugs used by Professor Wang Zhongyi to treat TD.Professor Wang Zhongyi believes that the core pathogenesis of TD is the internal movement of liver wind,and the treatment mainly focuses on calming the liver,calming the wind and stopping spasms,while also nourishing the heart,calming the mind,harmonizing blood and relieving qi.Based on different clinical symptoms of TD,modifications and adjustments are made to the core prescription to treat children with TD.

To investigate the malignant progression and molecular mechanism of KHSRP regulating esophageal squamous cell carcinoma(ESCC) through the JAK1/STAT3 signaling axis.

A case of Sifrim-Hitz-Weiss syndrome(Sifrim-Hitz-Weiss syndrome,SIHIWES)is presented.The patient was a 35-year-old male with cryptorchidism,growth retardation,skeletal malformations,muscular atrophy,a wide forehead,special facial features like square face,small low-set and cup-shaped ears since birth.Whole-exon sequencing identified a heterozygous mutation(NM_001273:c.3047A>G(chr12-6701125)(p.K1016R))in CHD4 gene.The clinical significance of this mutation is currently unknown,and has not been previously reported.In light of the patient's symptoms,the case was diagnosed as Sifrim-Hitz-Weiss syndrome.This case represents the first instance of Sifrim-Hitz-Weiss syndrome in an adult patient in China.

Objective To study the medication law of Professor Wang Zhongyi in the treatment of tic disorder(TD)based on data mining technology.Methods From January 1,2022 to December 31,2023,the cases treated for TD in Professor Wang Zhongyi's outpatient clinic,which participated in the real-world study were collected.A comprehensive database has been established,screening information related to effective case diagnosis and treatment.Utilizing Excel 2021,R 4.4.2,Origin 2024 and Cytoscape 3.9.1,this study conducted medication frequency analysis,property-flavor-meridian tropism analysis,efficacy analysis,association rule analysis,clustering analysis and co-occurrence network analysis to summarize medication law.Results Totally 640 effective prescriptions were included,involving 208 kinds of Chinese materia medica.The properties were mainly warm,cold,and neutral.The flavors were mainly pungent,bitter and sweet.The meridians were mainly liver meridians.The therapeutic categories were primarily composed of liver-calming and endogenous wind-stopping drugs,along with exterior-resolving prescriptions.Correlation analysis obtained 17 strongly correlated rules.Clustering analysis obtained 5 types of medicinal combinations.The therapeutic categories were primarily composed of liver-calming and endogenous wind-stopping drugs,along with exterior-resolving prescriptions.Conclusion According to the comprehensive statistical analysis,Uncariae Ramulus cum Uncis,Gastrodiae Rhizoma,Haliotidos Concha,Paeoniae Radix alba,Bupleuri Radix,Puerariae Lobatue Radix and Scorpio are the core drugs used by Professor Wang Zhongyi to treat TD.Professor Wang Zhongyi believes that the core pathogenesis of TD is the internal movement of liver wind,and the treatment mainly focuses on calming the liver,calming the wind and stopping spasms,while also nourishing the heart,calming the mind,harmonizing blood and relieving qi.Based on different clinical symptoms of TD,modifications and adjustments are made to the core prescription to treat children with TD.

A case of Sifrim-Hitz-Weiss syndrome(Sifrim-Hitz-Weiss syndrome,SIHIWES)is presented.The patient was a 35-year-old male with cryptorchidism,growth retardation,skeletal malformations,muscular atrophy,a wide forehead,special facial features like square face,small low-set and cup-shaped ears since birth.Whole-exon sequencing identified a heterozygous mutation(NM_001273:c.3047A>G(chr12-6701125)(p.K1016R))in CHD4 gene.The clinical significance of this mutation is currently unknown,and has not been previously reported.In light of the patient's symptoms,the case was diagnosed as Sifrim-Hitz-Weiss syndrome.This case represents the first instance of Sifrim-Hitz-Weiss syndrome in an adult patient in China.

Objective To analyze the clinical characteristics of pulmonary nocardiosis misdiagnosed as pulmonary tuberculosis and the causes of misdiagnosis, aiming to improve the diagnosis and treatment of the disease. Methods　Clinical data were collected from 18 cases of pulmonary nocardiosis misdiagnosed as pulmonary tuberculosis admitted to Beijing Chest Hospital (1 case), Hebei Chest Hospital (15 cases), the 5th Hospital of Shijiazhuang (1 case), and the 1st Hospital of Xinji (1 case) from October 2018 to June 2024, and the clinical manifestations, laboratory tests, imaging, treatment process, disease outcomes, and the causes of misdiagnosis were retrospectively analyzed. Results Among the 18 patients, there were 10 males and 8 females, with a median age of (59±14) years. All of the cases had the common clinical manifestations of cough and sputum. Seventeen cases had underlying disease, including 1 case with AIDS, 1 case with diabetes, 2 cases with obsolete pulmonary tuberculosis, 2 cases with chronic obstructive pulmonary disease, and 14 cases with bronchiectasis. Sputum or bronchoalveolar lavage fluid samples from 18 patients were cultured positive on Columbia blood plates, Roche medium, or MGIT 960, identifying 11 cases of Nocardia farcinica, 1 case of Nocardia otitidiscaviarum, and 6 cases of Nocardia cyriacigeorgica. All of the 18 patients received treatment with trimethoprim-sulfamethoxazole, 14 in 18 receiving combination therapy, resulting in 8 cures, 8 improvements, and 2 deaths. The reasons for misdiagnosis included: When an infectious disease in patients with long-term expectoration could not be controlled initially, the diagnosis of pulmonary tuberculosis would often be made clinically, and the patients would be given anti-tuberculosis therapy; insufficient understanding of the knowledge of Nocardia by laboratory physicians and doctors; the laboratory physicians neglected the importance of the judgment of Nocardia morphology by Gram staining; the bacterial culture period was usually 48 hours, while Nocardia grew slowly, resulting in missed detections; MGIT 960 culture and Roche culture had long cultivation period, which could increase the positive rate of Nocardia, but fewer units were carrying out such cultivation; insufficient understanding of the morphology differences between cultured Nocardia and Nocardia in the original specimen resulted in misjudgment. Conclusions Pulmonary nocardiosis is easily misdiagnosed as pulmonary tuberculosis. For patients, who have long-term expectoration, with hypoimmunity, or diseases that damage the lung structure such as bronchiectasis, if the response of conventional treatment is poor, Nocardia infection should be considered; Medical staff should enhance their understanding of Nocardia and pay more attention to the microscopic examination of Gram staining, weak acid-fast staining, and culture of sputum; Timely treatment following the diagnosis of nocardiosis can significantly improve the prognosis.

Objective: To explore the performance of machine learning prediction models in forecasting student absenteeism due to respiratory symptoms caused by air pollution in short term, aiming to provide a methodological reference for early warning systems of school diseases. Methods: Utilizing data from shortterm sequences of student absenteeism due to respiratory symptoms in Jiangsu Province from September 2019 to October 2022, the study integrated average concentrations of atmospheric pollutants. A univariate distributed lag nonlinear model was employed to select optimal lag variables for the pollutants. An extreme gradient boosting(XGBoost) algorithm model was developed to predict the frequency of absenteeism due to respiratory symptoms and compared with the seasonal autoregressive integrated moving average with exogenous factors(SARIMAX) model. Results: Between 2019 and 2022, an average of 9 709 students per day in Jiangsu Province were absent due to respiratory symptoms. The daily average air quality index (AQI) was 76.96,with mass concentrations of PM2.5, PM10, NO2, and O3 averaging at 35.75, 61.13, 28.89, 104.81 μg/m3, respectively. Granger causality tests indicated that AQI, PM2.5, PM10, NO2, and O3 were significant predictors of absenteeism frequency due to respirutory symptoms(F=1.46,1.79,1.67,3.41,2.18,P<0.01). The singleday lag effects of PM2.5, PM10, NO2, and O3 reached their peak relative risk (RR) values at lag4, lag0, lag0, lag4 respectively. When integrating these optimal lag variables for the pollutants, the XGBoost model demonstrated superior predictive performance to the SARIMAX model, reducing the mean absolute error (MAE) from 2.251 to 0.475, mean absolute percentage error (MAPE) from 0.429 to 0.080, and root mean square error (RMSE) from 2.582 to 0.713; at the P75 percentile alert threshold, the sensitivity improved from 0.086 to 0.694 and specificity from 0.979 to 0.988, with the Youden index increasing from 0.065 to 0.682. Conclusions The XGBoost model exhibits robust predictive performance and effective early warning capabilities for shortterm sequences of student absenteeism due to respiratory symptoms caused by air pollution. Schools could timely adopt this model to preemptively detect and control disease outbreaks, thereby enhancing school health management.

Background Anxiety and depression are common perinatal mental health issues that often occur together and can have serious negative effects on both maternal and infant health. Objective To examine the relationships between lifestyle factors and comorbid anxiety and depression (CAD) among pregnant women in Shanghai. Methods The study estimated the prevalence of CAD during the first, second, and third trimesters of pregnancy using the Self-rating Anxiety Scale (SAS) and Center for Epidemiological Studies-Depression (CES-D) based on data from the China National Birth Cohort (CNBC) embryonic-derived diseases with assisted reproductive technology (ART) sub-cohort. Information on demographics, sleep status, nutritional intake, and exercise during each trimester was collected through self-made questionnaires, the Pittsburgh Sleep Quality Index (PSQI), and the Food Frequency Questionnaire (FFQ). Lifestyle factors (such as sleep status, nutritional intake, and exercise during each trimester) were analyzed using logistic regression and generalized linear mixed models (GLMM) to determine their impacts on the prevalence of CAD (yes or no) among pregnant women. Results A total of 2876 pregnant women were included in this study. The prevalence of CAD was 10.6% (305), 3.6% (103), and 5.5% (159) in the first, second, and third trimesters of pregnancy, respectively. The logistic regression analysis revealed that poor sleep quality throughout the entire pregnancy were statistically associated with an increased prevalence of CAD, and the odds ratios (OR) with 95% confidence intervals (CI) were 2.817 (1.845, 4.301), 2.840 (1.855, 4.347), and 9.316 (5.835, 14.876) for the first, second, and third trimesters, respectively, when compared to good sleep quality. Additionally, compared to an intake frequency of 7 times per week, the frequency of egg intake ≤3 times per week in the first trimester (OR=2.025, 95%CI: 1.197, 3.425) and the frequency of egg intake of 4–6 times per week (OR=1.896, 95%CI: 1.117, 3.216) or ≤3 times per week (OR=1.906, 95%CI: 1.082, 3.357) in the third trimester were associated with an increased risk of CAD (P<0.05). Moreover, when compared to a frequency of exercise >3 times per week, never or almost never exercising in the second trimester (OR=2.218, 95%CI: 1.220, 4.035) was associated with an increased risk of CAD (P<0.05). The GLMM analysis also demonstrated a significant association between poor sleep quality, lower exercise frequency, or lower intake frequency of vegetables, eggs, or milk and an increased risk of CAD (P<0.05). Conclusion The prevalence of CAD among pregnant women in Shanghai follows a U-shaped distribution, with the highest rate occurring in early pregnancy and the lowest rate in mid-pregnancy. Factors such as poor sleep quality, inadequate intake of vegetables, eggs, or milk, and lack of exercise during pregnancy may increase the risk of CAD. Implementing lifestyle interventions during pregnancy could potentially reduce the risk of mental health problems and improve the overall health of both mothers and babies.

Minimal residual disease (MRD), a crucial biomarker for assessing efficacy and predicting recurrence, refers to residual tumor cells remaining in the body of patients with hematological malignancies who achieved complete remission after treatment. This study aimed to conduct a retrospective analysis of the clinical diagnosis, treatment, and MRD monitoring of a pediatric patient with multiple acute B-lymphocytic leukemia relapses, alongside a review of relevant literature. In this case, Ig rearrangement based on next-generation sequencing (NGS) was more accurate in assessing the MRD level, compared with the traditional method of MRD detection, indicating the risk of earlier relapse and guided interventions in time. Additionally, NGS-MRD detected clonal evolution, providing new ideas to further investigate the intrinsic factors of disease development.