Attention deficit hyperactivity disorder （ADHD） is often accompanied by tic disorder. The core pathogenesis is considered to be ministerial fire scorching yin and internal stirring of deficient wind， which leads to disharmony between the body and spirit， resulting in clinical manifestations. The treatment principles emphasize nourishing yin fluids， calming ministerial fire， and extinguishing endogenous wind （内风）. The method of nourishing yin fluids is applied throughout the entire treatment process， commonly using ingredients such as Shudihuang （Rehmanniae Radix Praeparata）， Shanzhuyu （Corni Fructus）， Gouqizi （Lycii Fructus）， Wuweizi （Schisandrae Chinensis Fructus）， and Tusizi （Cuscutae Semen）. These are combined with approaches to harmonize the zang-fu organs， primarily including extinguishing liver wind， clearing heart fire， nourishing kidney water， and strengthening spleen earth， thereby stabilizing ministerial fire and extinguishing endogenous wind. Additionally， emotional regulation and smoothing emotional constraint are essential to improve clinical symptoms in children with ADHD comorbid with tic disorder.

Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024, so as to provide the evidence for formulating local varicella prevention and control measures. Methods: The individual case data of varicella were collected through the Surveillance and Reporting Management System of the Chinese Disease Prevention and Control Information System in Changchun City from 2020 to 2024. Descriptive epidemiological methods were used to analyze the population ,regional, and temporal distribution. Spatial autocorrelation and spatio-temporal scanning analyses were used to identify the spatial-temporal clustering characteristics. Results: A total of 8 850 varicella cases were reported in Changchun City from 2020 to 2024, with an average annual incidence of 19.64/105. There were 4 929 male cases and 3 921 female cases, with a male-to-female ratio of 1.26∶1. The age was mainly 0-<20 years (6 649 cases, 75.13%), and students were the predominant occupation (6 036 cases, 68.20%). The top three counties (cities, districts) with the highest number of cases were Chaoyang District (1 944 cases), Gongzhuling City (1 054 cases) and Nanguan District (987 cases), accounting for 45.03%. The peak incidence periods were from April to June and from October to December, with 2 166 and 4 226 cases, accounting for 24.47% and 47.75%, respectively. Spatial autocorrelation analysis showed that spatial clustering existed from 2020 to 2024. The high-high clustering areas were mainly some townships (streets) in Chaoyang District, Nanguan District, Changchun New District and Jingyue District. Spatio-temporal scanning analysis identified 6 high-risk clustering areas. The class Ⅰ clustering area was Nanhu Street in Chaoyang District, with the clustering period from September 2020 to February 2022. Conclusions Varicella cases in Changchun City were mainly males and students aged 0-<20 years from 2020 to 2024. The peak incidence was mainly in winter. Chaoyang District was a high-risk area, with obvious spatial-temporal clustering.

BACKGROUND: The effect of the interval between previous Helicobacter pylori (H. pylori) eradication and rescue treatment on therapeutic outcomes remains unknown. The aim of this study was to investigate the association between eradication rates and treatment interval durations in H. pylori infections. METHODS: This prospective observational study was conducted from December 2021 to February 2023 at six tertiary hospitals in Shandong, China. We recruited patients who were positive for H. pylori infection and required rescue treatment. Demographic information, previous times of eradication therapy, last eradication therapy date, and history of antibiotic use data were collected. The patients were divided into four groups based on the rescue treatment interval length: Group A, ≥4 weeks and ≤3 months; Group B, >3 and ≤6 months; Group C, >6 and ≤12 months; and Group D, >12 months. The primary outcome was the eradication rate of H. pylori . Drug compliance and adverse events (AEs) were also assessed. Pearson's χ2 test or Fisher's exact test was used to compare eradication rates between groups. RESULTS: A total of 670 patients were enrolled in this study. The intention-to-treat (ITT) eradication rates were 88.3% (158/179) in Group A, 89.6% (120/134) in Group B, 89.1% (123/138) in Group C, and 87.7% (192/219) in Group D. The per-protocol (PP) eradication rates were 92.9% (156/168) in Group A, 94.5% (120/127) in Group B, 94.5% (121/128) in Group C, and 93.6% (190/203) in Group D. There was no statistically significant difference in the eradication rates between groups in either the ITT ( P = 0.949) or PP analysis ( P = 0.921). No significant differences were observed in the incidence of AEs ( P = 0.934) or drug compliance ( P = 0.849) between groups. CONCLUSION: The interval duration of rescue treatment had no significant effect on H. pylori eradication rates or the incidence of AEs. REGISTRATION ClinicalTrials.gov , NCT05173493.
Humans ; Helicobacter Infections/drug therapy* ; Helicobacter pylori/pathogenicity* ; Male ; Female ; Prospective Studies ; Middle Aged ; Anti-Bacterial Agents/adverse effects* ; Adult ; Aged ; Treatment Outcome ; Proton Pump Inhibitors/therapeutic use*

As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

Surgical methods for varicocele remain controversial. This study intends to evaluate the efficacy and safety of different surgical approaches for treating varicocele through a network meta-analysis (NMA). PubMed, Embase, Cochrane, and Web of Science databases were thoroughly searched. In total, 13 randomized controlled trials (RCTs) and 24 cohort studies were included, covering 9 different surgical methods. Pairwise meta-analysis and NMA were performed by means of random-effects models, and interventions were ranked based on the surface under the cumulative ranking curve (SUCRA). According to the SUCRA, microsurgical subinguinal varicocelectomy (MSV; 91.6%), microsurgical retroperitoneal varicocelectomy (MRV; 78.2%), and microsurgical inguinal varicocelectomy (MIV; 76.7%) demonstrated the highest effectiveness in reducing postoperative recurrence rates. In this study, sclerotherapy embolization (SE; 87.2%), MSV (77.9%), and MIV (67.7%) showed the best results in lowering the risk of hydrocele occurrence. MIV (82.9%), MSV (75.9%), and coil embolization (CE; 58.7%) were notably effective in increasing sperm motility. Moreover, CE (76.7%), subinguinal approach varicocelectomy (SV; 69.2%), and SE (55.7%) were the most effective in increasing sperm count. SE (82.5%), transabdominal laparoscopic varicocelectomy (TLV; 76.5%), and MRV (52.7%) were superior in shortening the length of hospital stay. The incidence rates of adverse events for MRV (0), SE (3.3%), and MIV (4.1%) were notably low. Cluster analyses indicated that MSV was the most effective in the treatment of varicocele. Based on the existing evidence, MSV may represent the optimal choice for varicocele surgery. However, selecting clinical surgical strategies requires consideration of various factors, including patient needs, surgeon experience, and the learning curve.
Humans ; Male ; Embolization, Therapeutic/methods* ; Microsurgery/methods* ; Randomized Controlled Trials as Topic ; Sclerotherapy/methods* ; Treatment Outcome ; Urologic Surgical Procedures, Male/methods* ; Varicocele/surgery*

Objective:X-linked non-syndromic hearing loss is an extremely rare type of hearing impairment. This study conducted a phenotypic and genetic analysis of a family with X-linked dominant inheritance to explore the causes of hearing loss. Methods:Clinical data were collected from a patient with non-syndromic hearing loss who visited the Otorhinolaryngology Department of the First Affiliated Hospital of Zhengzhou University in June 2023. Phenotypic and genetic analyses were performed on family members, including audiometric tests, whole-exome sequencing, and PCR-Sanger sequencing verification. Audiological assessments comprised pure-tone audiometry, impedance audiometry, auditory brainstem response, and otoacoustic emission tests. Results:The affected individuals in this pedigree have X-linked dominant non-syndromic deafness caused by mutations in the SMPX gene. The proband, along with their mother and maternal grandmother, exhibit varying degrees of sensorineural hearing loss. Whole-exome sequencing revealed a novel pathogenic variant, NM_014332.3: c. 133-2A>C, in the SMPX gene in the proband. Sanger sequencing confirmed that the proband, proband's mother, and grandmother all carried this pathogenic variant. Conclusion:This study reports a novel pathogenic variant in the SMPX gene, providing additional medical evidence for the diagnosis and treatment of X-linked dominant inherited non-syndromic hearing loss. It enriches the mutation spectrum of the SMPX gene.
Humans ; Pedigree ; Mutation ; Phenotype ; Male ; Hearing Loss, Sensorineural/genetics* ; Exome Sequencing ; Female ; Adult ; Hearing Loss/genetics* ; Evoked Potentials, Auditory, Brain Stem ; Muscle Proteins

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

There are a variety of mechanical signals in the microenvironment of cells,which have temporal and spatial variability,which jointly regulate the histological processes such as cell proliferation,differentiation and migration.Piezo1 is a mechanically sensitive cationic channel.As a force sensor,it transmits signals to downstream pathways and participates in a variety of life activities in response to changes in the cell microenvironment.In this paper,the common signal pathways of Piezo1 were reviewed in order to identify the downstream signaling pathways regulated by Piezo1,thereby providing theoretical basis for inhibiting or delaying related diseases.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

Objective To explore the effects of Dushu pills on cognitive ability and mitochondrial dynamics related proteins in mouse model of Alzheimer's disease(AD)based on network pharmacology.Methods The corresponding targets of Dushu pills and its related targets with AD were predicted using TCMSP database.The intersection targets of Dushu pills and AD were obtained by Venny website.The protein interaction network and drug-disease-target network were mapped using String database and Cytoscape software,respectively.GO and KEGG enrichment analysis were performed for intersection targets using David database.The mouse model of AD was established by injecting Aβ25-35 into bilateral ventricles.The learning and memory ability of the mice was detected by behavioral tests,the mitochondrial damage of neurons in the hippocampus was observed by transmission electron microscopy,and the expression of proteins related to mitochondrial dynamics was detected by Western blot.Results A total of 311 intersection targets related to drugs and diseases were screened out from the database.GO and KEGG analysis showed that the relevant targets were concentrated in mitochondria and other components,and concentrated in the pathways of ATP binding and positive regulation of MAPK activity.Compared with the normal group,the learning and memory ability of the model group was decreased(P<0.05),mitochondrial ridges appeared swelling and fracture(P<0.0001),decreased expression of MAPK,Mfn2 and OPA1 proteins in hippocampus(P<0.01),the expression of DRP1 protein increased(P<0.01).Compared with the model group,the learning and memory ability of mice in the medium and high dose groups of Dushu pills was improved(P<0.05),mitochondrial damage was significantly improved(P<0.01),increased expression of MAPK,Mfn2 and OPA1 in the hippocampus(P<0.01),DRP1 protein expression decreased(P<0.01).Conclusion Dushu pills can reduce mitochondrial damage,maintain mitochondrial homeostasis,and improve the cognitive and memory ability of AD mice.