ObjectiveTo observe the intervention effect of Fufang Kangjiaolv capsules on anxiety-like behaviors in the rat model of chronic restraint stress （CRS） and explore the mechanism underlying the anti-anxiety effect via the microbiota-gut-brain axis. MethodsRats were assigned into blank， model， positive drug （diazepam， 1 mg·kg^-1）， and low-， medium-， and high-dose （0.75， 1.5， 3 g·kg^-1， respectively） Fufang Kangjiaolv capsules groups. After 14 days of administration， the elevated plus maze test， open field test， light and dark box test， and marble burying test were performed. Hematoxylin-eosin staining was employed to observe the pathological changes in the hippocampus and colon of rats， and Nissl staining was conducted to observe the damage of hippocampal neurons. The gut microbiota was analyzed by 16S rRNA gene sequencing. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was employed to determine the mRNA levels of zonula occludens-1 （ZO-1） and occludin in the colon of rats. The levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） in the colon， serum， and hippocampus were determined by enzyme-linked immunosorbent assay. Western blot was employed to determine the protein levels of ZO-1， occludin， nuclear factor-κB p65 （NF-κB p65） in the colon tissue and NF-κB p65 and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. ResultsCompared with the blank group， the model group showed reductions in the time and frequency ratio of rats entering the elevated plus maze， the time and frequency of rats entering the central area of the open field， the time of entering the open box， the times of passing through the light and dark box， and the number of unburied beads （P<0.05， P<0.01）. Compared with the model group， Fufang Kangjiaolv capsules ameliorated the anxiety of the model rats to varying degrees， and the high-dose group had the best effect， with increases in the proportions of time and frequency of rats entering the open arm in the elevated plus maze （P<0.05）， the number of rats entering the central area in the open field （P<0.05）， the time of entering the open box， the times of passing through the light and dark boxes， and the number of unburied beads （P<0.01）. Moreover， the high-dose group showed alleviated pathological damage of hippocampal neurons and colon. The results of 16S rRNA gene sequencing showed that the model group had increased relative abundance of Firmicutes， Deferribacterota， Romboutsia， and Phascolarctobacterium， while it had decreased relative abundance of Bavcteroidota and Lactobacillus. The drug administration groups showed increased relative abundance of Bavcteroidota， Bacteroides， norank f norank o Clostridia UCG-014， and Blautia and decreased relative abundance of Firmicutes and Deferribacterota. Compared with the blank group， the model group showed down-regulated protein and mRNA levels of ZO-1 and occludin in the colon （P<0.01）， elevated levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated protein level of NF-κB p65 in the colon and hippocampus （P<0.01）， and down-regulated protein level of BDNF in the hippocampus （P<0.05）. Compared with the model group， high-dose Fufang Kangjiaolv capsules up-regulated the mRNA levels of ZO-1 and occludin in the colon （P<0.01）， lowered the levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated the protein levels of ZO-1 （P<0.01） and occludin （P<0.05） in the colon， down-regulated the protein level of NF-κB p65 in the colon and hippocampus （P<0.05）， and up-regulated the protein level of BDNF in the hippocampus. ConclusionFufang Kangjiaolv capsules can reduce the anxiety-like behaviors in the rat model of CRS by regulating the gut microbiota disturbance， up-regulating the expression of tight junction proteins in the colon， repairing intestinal mucosal mechanical barrier， and down-regulating NF-κB/BDNF signaling pathway， thereby reducing peripheral and central inflammation. This study proves the hypothesis that Fufang Kangjiaolv capsules play an anti-anxiety role via the microbiota-gut-brain axis， providing a new idea for further research.

ObjectiveTo explore the dose-effect relationship and safety of high， medium， and low doses of raw Astragali Radix in the modified Huangqi Chifengtang （MHCD） for treating proteinuria in immunoglobulin A （IgA） nephropathy， and to provide scientific evidence for the clinical use of high-dose Astragali Radix in the treatment of proteinuria in IgA nephropathy. MethodsA total of 120 patients with IgA nephropathy， diagnosed with Qi deficiency and blood stasis combined with wind pathogen and heat toxicity， were randomly divided into a control group and three treatment groups. The control group received telmisartan combined with a Chinese medicine placebo， while the treatment groups were given telmisartan combined with MHCD containing different doses of raw Astragali Radix （60， 30， 15 g）. Each group contained 30 patients， and the treatment period was 12 weeks. Changes in 24-hour urinary protein （24 hUTP）， traditional Chinese medicine （TCM） syndrome scores， effective rate， and renal function were observed before and after treatment. Safety was assessed by monitoring liver function and blood routine. ResultsAfter 12 weeks of treatment， 24 hUTP significantly decreased in the high， medium， and low-dose groups， as well as the control group （P<0.05， P<0.01）. The TCM syndrome scores in the high， medium， and low-dose groups also significantly decreased （P<0.01）. Comparisons between groups showed that the 24 hUTP in the high-dose group was significantly lower than in the medium， low-dose， and control groups （P<0.05， P<0.01）， and the 24 hUTP in the medium-dose group was significantly lower than in the control group （P<0.05）. The TCM syndrome scores in the high and medium-dose groups were significantly lower than in the low-dose and control groups （P<0.05， P<0.01）. The total effective rates for proteinuria in the high， medium， low-dose， and control groups were 92.59% （25/27）， 85.19% （23/27）， 60.71% （17/28）， and 57.14% （16/28）， respectively. The effective rates in the high and medium-dose groups were significantly higher than in the low-dose and control groups （χ²=13.185， P<0.05， P<0.01）. The effective rates for TCM syndrome scores in the high， medium， low-dose， and control groups were 88.89% （24/27）， 81.48% （22/27）， 71.43% （20/28）， and 46.43% （13/28）， respectively. The efficacy of TCM syndrome scores in the high and medium-dose groups was significantly higher than in the control group （χ²=14.053， P<0.01）. Compared with pre-treatment values， there was no statistically significant difference in eGFR and serum creatinine in the high and medium-dose groups. However， eGFR significantly decreased in the low-dose and control groups after treatment （P<0.05）， and serum creatinine levels increased significantly in the control group （P<0.05）. No statistically significant differences were observed in urea nitrogen， uric acid， albumin， total cholesterol， triglycerides， liver function， and blood routine before and after treatment in any group. ConclusionThere is a dose-effect relationship in the treatment of IgA nephropathy with high， medium， and low doses of raw Astragali Radix in MHCD. The high-dose group exhibited the best therapeutic effect and good safety profile.

ObjectiveTo explore the effects of Qingxin Jieyu granules on ventricular remodeling of mice after myocardial infarction， and their regulatory role in mitophagy. MethodsSixty male C57BL/6 mice were randomly assigned to six groups： sham-operated group， model group， Qingxin Jieyu granules low-， medium-， and high-dose groups （1.3， 2.6， 5.2 g·kg^-1）， and sacubitril valsartan sodium group （0.03 g·kg^-1）， with 10 mice per group. Except for the sham-operated group， all other groups utilized left anterior descending coronary artery ligation to build a myocardial infarction model. Ultrasound was used to measure left ventricular parameters， including end-diastolic and end-systolic diameters （LVIDd， LVIDs）， diastolic and systolic posterior wall thickness （LVPWd， LVPWs）， end-diastolic and end-systolic volumes （LV Vold， LV Vols）， left ventricular ejection fraction （LVEF）， and fractional shortening （LVFS）. Additionally， the heart mass index and heart weight/tibia length ratio of mice were calculated. Enzyme-linked immunosorbent assay （ELISA） was employed to quantify brain natriuretic peptide （BNP）， creatine kinase isoenzyme （CK-MB）， angiotensinⅡ （AngⅡ）， and lactate dehydrogenase （LDH） levels in the serum of mice. Histological analysis using hematoxylin-eosin （HE） and Masson staining was conducted to examine morphological changes in myocardial tissue. Immunohistochemistry assessed the expression of vascular growth factors， including basic fibroblast growth factor （bFGF） and vascular endothelial growth factor （VEGF）. Transmission electron microscopy was used to scrutinize mitochondrial morphology in the myocardial tissue of mice. Western blot was performed to analyze the expression of phosphorylated adenosine monophosphate activated protein kinase （p-AMPK） and phosphorylated mammalian target of rapamycin （p-mTOR） proteins in myocardial tissue from each experimental group. ResultsCompared to the sham-operated group， the model group mice exhibited significantly elevated levels of LV Vold， LV Vols， LVIDd， LVIDs， cardiac mass index， heart weight/tibia length ratio， BNP， LDH， and p-mTOR protein expression （P<0.05）， along with decreased levels of LVPWd， LVPWs， LVEF， LVFS， and p-AMPK protein expression （P<0.05）. The model group also displayed substantial inflammatory cell infiltration， collagen deposition in myocardial cells， reduced expression of bFGF and VEGF， mitochondrial swelling， and cristae fragmentation. Compared to the model group， the sacubitril/valsartan group and mid-dose Qingxin Jieyu granules group showed significant reductions in LVIDs， LV Vold， LV Vols， BNP， CK-MB， LDH， and p-mTOR protein expression （P<0.05）， coupled with increases in LVEF， LVFS， and p-AMPK expression （P<0.05）. Improvements were observed across all treatment groups， including reduced inflammatory cell infiltration and collagen deposition， increased bFGF and VEGF expression， alleviated mitochondrial swelling， and the presence of autophagosomes and lysosomes. ConclusionThe results show that Qingxin Jieyu granules can regulate mitochondrial autophagy in myocardial tissue and inhibit ventricular remodeling to improve cardiac performance， by up-regulating the p-AMPK expression in the myocardial tissue of mice with ventricular remodeling after myocardial infarction， and down-regulating the p-mTOR expression.

Objective: To investigate the efficacy, safety, and traditional Chinese medicine (TCM) medication patterns of rituximab (RTX) combined with TCM on treating children with steroid-dependent nephrotic syndrome (SDNS). Methods: One hundred and forty-three children with SDNS who visited the Pediatric Nephrology Department of the First Affiliated Hospital of Henan University of Chinese Medicine from January 2018 to December 2022 were enrolled. A cohort study design was adopted, with " RTX treatment" as the exposure factor. Children who met this exposure factor were assigned to the RTX cohort (RTX, glucocorticoid, immunosuppressive agent, combined with traditional Chinese medicine syndrome differentiation treatment), whereas those who did not were assigned to the basic treatment cohort (glucocorticoid, immunosuppressive agent, combined with traditional Chinese medicine syndrome differentiation treatment ), and followed up for 6 months. The frequency of urinary protein recurrences, urinary protein remission duration, proportion and duration of steroid reduction and cessation, cumulative usage of steroids, proportion of recurrence, recurrence amount of steroid used, efficacy of TCM syndrome, and laboratory and safety indicators after treatment, and height and CD19+ B cell count before and after treatment were compared between the two cohorts. The medication patterns of TCM in the two cohorts were analyzed using frequency statistics, association rule analysis, and systematic clustering analysis. Results: Compared with the basic treatment cohort, the RTX cohort showed a decrease in the frequency of urinary protein recurrence, extended sustained remission of urinary protein, an increase in the proportion of steroid reduction and cessation, a shorter duration of steroid reduction and cessation, a decrease in cumulative steroid dosage, a lower recurrence rate, a decrease in CD19+ B cell count, and a decrease in 24-h urinary total protein quantification and the level of cholesterol (P<0.05). No significant difference in the recurrence amount of steroid used, height, TCM syndrome efficacy, albumin, aspartate transaminase, blood urea nitrogen, platelet count, and safety indicators between the two cohorts. Children with SDNS were mostly characterized by qi and yin deficiency syndrome, followed by spleen and kidney yang deficiency syndrome. A total of 175 TCMs were included, including 28 high-frequency drugs such as Huangqi, Fuling, Gancao, Baizhu, Dangshen, and Jiuyurou. The primary use of medication is to nourish the qi and spleen, nourish the kidney, and warm yang. The analysis of association rules yielded eight binary associations and ten three-phase associations, with Huangqi, Baizhu, Fuling, and Dangshen, being the most closely related. Cluster analysis identified four TCM combinations, primarily focusing on tonifying kidney and replenishing essence, benefiting qi and nourishing yin, and removing blood stasis. Conclusion RTX combined with TCM syndrome differentiation treatment can reduce the recurrence frequency of SDNS, prolong the remission period, reduce the glucocorticoid dosage, and have no marked effect on height growth. No apparent adverse reactions were observed. TCM should focus on nourishing qi and yin while removing blood stasis.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.

ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.

BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Objective: To understand the latent categories of sleep disturbances among children and adolescents with neurodevelopmental disorders (NDDs) in Tianjin and their relationship with behavioral and social issues, so as to provide a basis for preventing and improving sleep disturbances in the population. Methods: From September 2021 to June 2024, 272 children and adolescents aged 2-23 years with neurodevelopmental disorders were recruited from special education schools and designated rehabilitation institutions in Tianjin. Sleep disturbances were assessed using the Children s Sleep Habits Questionnaire (CSHQ). Behavioral and social issues and severity were evaluated using the Autism Behavior Checklist (ABC) and Childhood Autism Rating Scale (CARS). Latent class analysis (LCA) was employed to categorize the subjects into different sleep disturbances categories. Cochran- Armitage test was used to analyze the trend of detection rate of sleep disturbances in different age groups. Spearman rank correlation was used to analyze the correlation between the scores of each scale. The generalized linear model was used to analyze the influence of CARS and ABC scale scores. Covariance analysis was used to examine differences in behavioral and social issues among the different categories. Results: Among 272 survey respondents, a total of 197(72.4%) children and adolescents with NDDs were identified with sleep disturbances. The detection rates of sleep disturbances were 88.9% for those aged 2-6 years, 70.6% for aged 7-12, 66.7% for aged 13-18 and 50.0% for 19-23 years old, which was decreased across age group ( Z =3.58, P <0.01). There was a positive correlation between the total CSHQ score and the total ABC score ( r=0.16, P =0.01). The generalized linear model analysis showed that after adjusting age, gender, parents education level and family monthly income, bedtime habit ( β =3.60) and sleeping latency disorder ( β =3.36) were positively correlated with CARS scores, while the bedtime habit ( β =16.73) and waking up at night ( β =17.46) were positively correlated with ABC scores ( P <0.05). LCA revealed that sleep disturbances in children and adolescents with NDDs could be classified into four categories. The covariance analysis results showed that there were statistically significant differences in the average scores of CSHQ (70.84±9.05, 50.96±6.64, 50.33±5.82, 43.84±5.44) and ABC (49.44± 39.34 , 53.04±39.75, 63.51±40.31, 38.14±34.23) among different categories of all partipants ( F=92.09, 3.95, P <0.05). Conclusion Sleep disturbances in children and adolescents with NDDs are severe and exhibit distinct categorical characteristics.