Objective: To analyze the potential categories and influencing factors of the compliance trajectory of orthokeratology lenses (OK lens) in myopic children and adolescents, so as to provide a basis for dynamic and accurate intervention of OK lens compliance in myopic children and adolescents. Methods: From January to June 2024, 310 myopic children and adolescents wearing OK lens were selected as research subjects from the Ophthalmology Medical Center of Cangzhou Central Hospital using a convenient sampling method. Data were collected at four time points: when the glasses were first fitted (T0), 2 weeks after fitting (T1), 1 month later (T2), 3 months later (T3), and 6 months later (T4). The data collection methods included general information questionnaires, compliance surveys for OK lens wearers, the Behavior Rating Inventory of Executive Function-Self-report Version (BRIEF-SR), family support scales, and a self-made questionnaire on myopia control attitudes. A growth mixed model was used to identify the trajectory categories of compliance with OK lens wearing among myopic children and adolescents, and multiple Logistic regression analysis was employed to examine the influencing factors. Results: The compliance with OK lens among myopic children and adolescents were roughly divided into four developmental trajectories: C1 exemplary adherent (58 cases, 18.71%), C2 gradual progressor (130 cases, 41.94%), C3 fluctuating (85 cases, 27.42%), and C4 stubborn low follower (37 cases, 11.94%). Multivariate Logistic regression analysis showed that, with C1 group as the reference, age (C3, OR = 0.74 ), parental education level (C4, OR =0.67), executive function (C2, OR =0.69; C4, OR =0.44), family support (C3, OR =0.75) and myopia control attitude (C2, OR =0.39) were all influencing factors for the compliance trajectory of OK lens; with C2 group as the reference, age (C3, OR = 0.55 ), parental education level (C3, OR =0.34; C4, OR =0.64), executive function (C3, OR =0.77), and family support (C4, OR =0.58) were all influencing factors for the compliance trajectory of OK lens; with C3 group as the reference, age (C4, OR = 0.68 ), and myopia control attitude (C4, OR =0.44) were both influencing factors for the compliance trajectory of OK lens ( P <0.05). Conclusions The compliance of wearing OK lens in children and adolescents with myopia can be roughly divided into four trajectories, and there is group heterogeneity. Dynamic and precise compliance intervention strategies should be given based on different trajectories and influencing factors.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Objective:To summarize the clinical characteristics and surgical outcomes of endolymphatic sac tumor（ELST）, and improve the experience of diagnosis and treatment of this disease. Methods:A retrospective analysis was conducted on the clinical data of patients with ELST who underwent surgical treatment by the Department of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University from January 2015 to December 2024.The clinical and image features, perioperative management, surgical methods and follow-up results of the disease were summarized. Results:Of the 6 cases, 4 were male and 2 were female. The primary clinical characteristics were hearing loss（6 cases）, tinnitus（5 cases）, dizziness（2 cases）, facial paralysis（1 case）, and headache（1 case）. CT and MRI of temporal bone were performed in all cases. The manifestation of CT was a space occupying lesion centered on the region of endolymphatic sac, accompanied by bone destruction and intertumoral calcification. MRI showed tumor center isosignal and peripheral hypersignal in T1 and T2 sequences in 3 cases, and mixed hypersignal in T1 and T2 sequences in 3 cases. Enhancement was observed in all cases on the enhanced scan. 5 cases underwent DSA examination and showed the tumors were supplied by the occipital artery（2 cases）, posterior auricular artery（4 cases）, and the bunch of internal carotid artery（1 case）. Embolization of the feeding artery was performed in 3 patients. Five patients underwent tumor resection. Translabyrinthine approach were performed in 4 cases, and middle cranial fossa approach was performed in 1 case. All cases followed up for 24 to 70 months with no distant metastases or death. Two patients experienced twice recurrences and were treated with surgical operation. The tumors were found to be closely related to the internal auditory canal or dura during the surgery. Conclusion:The clinical manifestations of ELST are not typical, and hearing loss is the most common clinical symptom. CT and MRI exhibit typical imaging characteristics. ELST has a risk of recurrence, and the tumor should be carefully managed when invade to the internal auditory canal and dura to reduce postoperative recurrence.
Humans ; Endolymphatic Sac/surgery* ; Male ; Female ; Retrospective Studies ; Ear Neoplasms/diagnosis* ; Magnetic Resonance Imaging ; Tomography, X-Ray Computed ; Adult ; Middle Aged ; Treatment Outcome

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective:To explore the effects of Undaria pinnatifida polysaccharides(UPPs)on depressive-like behavior,neurotransmitter content,oxidative stress,and the hypothalamus-pituitary-adrenal(HPA)axis in rats treated with chronic unpredictable mild stress(CUMS).Methods:A rat model of depression was prepared using the CUMS method,and rats were treated with normal saline(NS)or different doses of UPPs by gavage.The general condition of the rats was observed,and depressive-like behavior was detected by the open field test(OFT),sucrose preference test(SPT),and forced swimming test(FST).The activity or levels of 5-hydroxytryptamine(5-HT),dopamine(DA)and norepinephrine(NE),malondialdehyde(MDA),superoxide disidase(SOD)and catalase(CAT),adrenocorticotrop-ic hormore(ACTH),corticosterone(CORT)in the hippocampus or serum of rats were detected using commercial kits.Western Blot was used to detect the expression level of hippocampal glucocorticoid receptor(GR)protein,and hema-toxylin-eosin(HE)staining was used to observe the tissue structure of hippocampus of rats.Results:The depressive-like behavior of rats in the UPPs medium and high dose groups was significantly improved(P＜0.05).In the UPPs high dose group,the contents of 5-HT,DA,and NE in the hippocampus of rats increased(P＜0.05),while the con-tents of MDA in both serum and hippocampus decreased(P＜0.05),and the activities of SOD and CAT increased(P＜0.05).The contents of ACTH and CORT in serum decreased(P＜0.05).In the UPPs medium dose group,the levels of hippocampal MDA and CAT,as well as serum SOD,ACTH,and CORT were improved(P＜0.05).The expression level of GR protein in the hippocampus increased(P＜0.05),and the pathological changes in the hipp-ocampal dentate gyrus were significantly improved.Conclusion:UPPs can alleviate depressive-like behavior in CUMS rats,and its mechanism may be related to increasing the content of monoamine neurotransmitters in the hippocampus,reducing oxidative stress damage,and HPA axis hyperfunction.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Chaihu Guizhi Decoction is an excellent prescription of ZHANG Zhongjing;however,nowadays the application of Chaihu Guizhi Decoction is primarily derived from the text.The xiang thinking is the source of traditional Chinese medicine thinking.Understanding Chaihu Guizhi Decoction from the xiang thinking,it is easy to perceive the true meaning of ZHANG Zhongjing,and grasp the location of the disease and the patient's overall qi,so as to make better use of this formula.This article discusses the understanding of Chaihu Guizhi Decoction from five perspectives:firstly,it gives an overview of the xiang thinking,pointing out the source and essential value of the xiang thinking;secondly,it analyses the disease position and the patient's qi of Chaihu Guizhi Decoction under the perspective of the xiang thinking as a whole;thirdly,it discusses the disease position and the patient's qi of the original text of Chaihu Guizhi Decoction from the xiang thinking;fourthly,it discusses how to understand the principle of formula formation and the main and minor parts of Chaihu Guizhi Decoction by xiang thinking;finally,it analyses the primary medicines in Chaihu Guizhi Decoction by using xiang thinking based on the records of Shennong Bencao Jing.Based on these five points,we hope to reveal the traditional Chinese medicine thinking behind Chaihu Guizhi Decoction,and provide new ideas for the clinical application of Chaihu Guizhi Decoction.

Background In recent years, the rising number of e-cigarette users among adolescents and the surging cases of lung injury related to e-cigarette use have attracted the attention of researchers in various fields. Objective To identify the research hotspots and trends of e-cigarette or vaping product use associated lung injury (EVALI) worldwide from 2013 to 2022 by bibliometric and visual analysis. Methods Web of Science Core Collection was selected to obtain literature related to EVALI from 2013 to 2022 across the world, statistics were calculated by country/region, institution, author, journal, cited literature, keyword, etc. CiteSpace 6.2.R1 was used for visual analysis to draw diagrams of publication trend, author cooperation network, co-citation clustering time distribution, and keyword cluster. Results A total of 888 EVALI-related papers published between 2013 and 2022 were retrieved. The number of publications was gradually increased, with a significant increase in 2020 and a decrease from 2021, but the number of citations was increased year by year. The most active country was the United States (631 articles). European and American countries cooperated closely and the centrality was prominent. Among the publishing institutions, the University of California system topped the list with 103 articles. Rahman I (27 articles) published the most articles and had a high degree of centrality; Goniewicz M L was the most cited author; and the network analysis diagram showed relatively weak collaboration between authors. The American Journal of Respiratory and Critical Care Medicine was the journal with the highest number of publications (94 articles). The top 5 cited articles were all cited more than 300 times. The leading high-frequency keywords of EVALI-related studies were nicotine (149 times), exposure (118 times), and oxidative stress (80 times). The cluster of key nodes in the co-citation network and the clustering time distribution diagram indicated youth e-cigarette addiction received widespread attention from society. From the top 25 keywords with the strongest bursts, the focus of research on the pathogenesis of EVALI gradually shifted from the oxidative stress damage associated with e-cigarette vapor to the oxidative effect of flavoring chemicals in the process of lung injury. The current research interests in this field were mainly the mechanisms of various chemicals in e-cigarettes and the heating elements that led to damage to the lungs. Conclusion EVALI is receiving continuous attention from researchers in government, medical institutions, and other organizations. A variety of e-cigarette ingredients such as flavoring chemicals may lead to varying degrees of cytotoxicity, inflammation, and lung damage. However, the pathophysiology of EVALI remains unclear. In the future, more Chinese scholars should be encouraged to participate in this field.

Post-stroke depression is a common complication after a stroke. Based on the theory of ＂deficiency of heart qi leading to sadness＂recorded in Huangdi Neijing, our team proposes that deficiency of heart qi is the basic pathogenesis of post-stroke depression, with sadness being its main manifestation. Therefore, we advocate treating post-stroke depression from the perspective of the heart, and clinically, it can be divided into four stages: heart-liver stage, heart-lung stage, heart-spleen stage, and heart-kidney stage. Treating post-stroke depression with the principle of regulating qi and nourishing the heart, patients in the heart-liver and heart-lung stages are mainly middle-aged and young adults, with a pathological nature of qi stagnation and mild deficiency of heart qi, and therefore, the method of promoting the flow of meridians and regulating qi should be adopted. In contrast, patients in the heart-spleen and heart-kidney stages are mainly middle-aged and elderly, with a pathological nature of qi deficiency and severe deficiency of heart qi, and therefore, nourishment and tonification should be prioritized. In response to the above four stages, our team has achieved good clinical efficacy by administering Xiaoyao Powder, Baihe Dihuang Decoction, Ganmai Dazao Decoction and Jingui Shenqi Pill respectively. This study discusses the approach to treating post-stroke depression from the perspective of a "deficiency of heart qi leading to sadness" by examining three aspects: the theoretical basis of Chinese and Western medicine to treat post-stroke depression from the heart, the basic pathogenesis and staging of post-stroke depression, and the treatment principle of regulating qi and nourishing the heart. The study also briefly analyzes the clinical experience of the medications used for this condition to provide a reference for the treatment of post-stroke depression.