To systematically review randomized controlled trials （RCTs） of traditional Chinese medicine （TCM） intervention in ulcerative colitis （UC）， and analyze the characteristics of these studies and their outcome indicators， thereby providing references for the design of future RCTs of TCM intervention in UC and offering evidence supporting the clinical application of TCM in UC. A computerized search was conducted in the China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP， SinoMed， PubMed， Cochrane Library， EMbase， and Web of Science databases for RCTs of TCM intervention in UC published from January 2021 to August 2024. The risk of bias was assessed， and outcome indicators were qualitatively analyzed. A total of 555 RCTs were included， with a sample size of 44 853 participants. The largest sample size was 218 cases， and the smallest was 28 cases， with most studies focusing on 60-100 participants. Of the 386 RCTs that explicitly reported TCM syndrome types， the top three were large intestine dampness-heat syndrome （31.05%）， spleen and kidney yang deficiency syndrome （12.47%）， and spleen deficiency with dampness syndrome （9.17%）. The interventions， ranked by frequency of use， included internal Chinese medicine compounds/preparations （64.5%）， Chinese medicine compounds/preparations with retained enema （18.2%）， internal Chinese medicine compounds/preparations + external TCM treatment （5.95%）， and external TCM treatment alone （4.86%）. The treatment duration was mainly 4-8 weeks （64.86%）， with 61 studies （10.99%） reporting follow-up time. A total of 157 outcome indicators were used， with a frequency of 3 460 occurrences， classified into six domains： TCM syndromes and symptoms （346 occurrences， 10%）， symptoms/signs （541 occurrences， 15.64%）， physical and chemical examinations （2 119 occurrences， 61.24%）， quality of life （107 occurrences， 3.09%）， long-term prognosis （61 occurrences， 1.76%）， and safety events （284 occurrences， 8.21%）. The analysis reveals several limitations in the outcome indicators of TCM intervention in UC， including the lack of a basis for sample size calculation， non-standardized TCM syndrome classification， absence of trial design and registration， inadequate blinding and allocation concealment， adherence issues with interventions， imbalanced selection of surrogate and endpoint indicators， inconsistency in the timing of outcome measurements， design issues that require standardization， and ethical and safety concerns. It is recommended that future studies actively construct a set of core indicators for UC that include standardized TCM syndrome classification， clear efficacy evaluation indicators， key endpoint indicators， and reasonable measurement time points. Long-term prognostic impacts， comprehensive assessments of patients' quality of life， and consideration of economic benefits should be emphasized， providing a basis for the clinical practice of TCM in the treatment of UC.

To systematically review randomized controlled trials （RCTs） of traditional Chinese medicine （TCM） intervention in ulcerative colitis （UC）， and analyze the characteristics of these studies and their outcome indicators， thereby providing references for the design of future RCTs of TCM intervention in UC and offering evidence supporting the clinical application of TCM in UC. A computerized search was conducted in the China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP， SinoMed， PubMed， Cochrane Library， EMbase， and Web of Science databases for RCTs of TCM intervention in UC published from January 2021 to August 2024. The risk of bias was assessed， and outcome indicators were qualitatively analyzed. A total of 555 RCTs were included， with a sample size of 44 853 participants. The largest sample size was 218 cases， and the smallest was 28 cases， with most studies focusing on 60-100 participants. Of the 386 RCTs that explicitly reported TCM syndrome types， the top three were large intestine dampness-heat syndrome （31.05%）， spleen and kidney yang deficiency syndrome （12.47%）， and spleen deficiency with dampness syndrome （9.17%）. The interventions， ranked by frequency of use， included internal Chinese medicine compounds/preparations （64.5%）， Chinese medicine compounds/preparations with retained enema （18.2%）， internal Chinese medicine compounds/preparations + external TCM treatment （5.95%）， and external TCM treatment alone （4.86%）. The treatment duration was mainly 4-8 weeks （64.86%）， with 61 studies （10.99%） reporting follow-up time. A total of 157 outcome indicators were used， with a frequency of 3 460 occurrences， classified into six domains： TCM syndromes and symptoms （346 occurrences， 10%）， symptoms/signs （541 occurrences， 15.64%）， physical and chemical examinations （2 119 occurrences， 61.24%）， quality of life （107 occurrences， 3.09%）， long-term prognosis （61 occurrences， 1.76%）， and safety events （284 occurrences， 8.21%）. The analysis reveals several limitations in the outcome indicators of TCM intervention in UC， including the lack of a basis for sample size calculation， non-standardized TCM syndrome classification， absence of trial design and registration， inadequate blinding and allocation concealment， adherence issues with interventions， imbalanced selection of surrogate and endpoint indicators， inconsistency in the timing of outcome measurements， design issues that require standardization， and ethical and safety concerns. It is recommended that future studies actively construct a set of core indicators for UC that include standardized TCM syndrome classification， clear efficacy evaluation indicators， key endpoint indicators， and reasonable measurement time points. Long-term prognostic impacts， comprehensive assessments of patients' quality of life， and consideration of economic benefits should be emphasized， providing a basis for the clinical practice of TCM in the treatment of UC.

BACKGROUND: Parkinson's disease (PD) is a leading cause of death and disability worldwide, and is associated with a significant Global Burden of Disease (GBD). We analyzed the trends in PD incidence, mortality, and disability-adjusted life year (DALY) burden in China, and compared them with global data. METHODS: Estimates and 95% uncertainty intervals (UIs) for incidence, mortality, DALYs, years lived with disability (YLDs), and years of life lost (YLLs) for PD were extracted from the GBD, Injuries, and Risk Factors Study 2021. We describe the epidemiology of PD at global and Chinese levels, analyze trends in incidence and mortality from 1990 to 2021 by joinpoint regression models, and decompose PD burden according to population size, age structure, and epidemiological changes. RESULTS: GBD 2021 estimated 508,378 (95% UI: 430,499-592,748) incident cases of PD, 92,035 (95% UI: 75,908-108,133) deaths, and 2,159,514 (95% UI: 1,826,196-2,521,344) DALYs in China, with the higher age-standardized rate (ASR) in incidence, mortality and DALYs than the global levels. The DALY burden of PD in China increased slightly from 1990 to 2021, consistent with the global upward trend. Joinpoint regression analysis indicated that the ASR of incidence in China increased faster than the global average, while the ASR of mortality decreased, with the fastest decline in 2004-2014. Decomposition analysis revealed that men and the middle sociodemographic index (SDI) quintile (32.82%) were responsible for the most significant DALYs, whose changes were primarily driven by population growth and aging. CONCLUSIONS The burden of PD showed an overall increasing trend from 1990 to 2021, which was primarily driven by population growth and aging. This study highlights the significant challenges in controlling and managing PD, including the increase in cases and gender differences, which may provide guidance for comprehensive strategies to address the changing profiles of PD in China.
Humans ; Parkinson Disease/mortality* ; China/epidemiology* ; Global Burden of Disease ; Male ; Incidence ; Female ; Disability-Adjusted Life Years ; Middle Aged ; Aged ; Adult ; Quality-Adjusted Life Years ; Aged, 80 and over ; Cost of Illness ; Adolescent ; Pattern Analysis, Machine

The intensive care unit (ICU) is a highly equipment-intensive area with a wide variety of medical devices, and the accuracy and timeliness of medical equipment data collection are highly demanded. The integration of the Internet of Things (IoT) into ICU medical devices is of great significance for enhancing the quality of medical care and nursing, as well as for the advancement of digital and intelligent ICUs. This study focuses on the construction of the IOT for ICU medical devices and proposes innovative solutions, including the overall architecture design, devices connection, data collection, data standardization, platform construction and application implementation. The overall architecture was designed according to the perception layer, network layer, platform layer and application layer; three modes of device connection and data acquisition were proposed; data standardization based on Integrating the Healthcare Enterprise-Patient Care Device (IHE-PCD) was proposed. This study was practically verified in the Chinese People's Liberation Army General Hospital, a total of 122 devices in four ICU wards were connected to the IoT, storing 21.76 billion data items, with a data volume of 12.5 TB, which solved the problem of difficult systematic medical equipment data collection and data integration in ICUs. The remarkable results achieved proved the feasibility and reliability of this study. The research results of this paper provide a solution reference for the construction of hospital ICU IoT, offer more abundant data for medical big data analysis research, which can support the improvement of ICU medical services and promote the development of ICU to digitalization and intelligence.
Intensive Care Units ; Internet of Things ; Humans ; Internet ; Data Collection

OBJECTIVE: To develop a clinical automated diagnostic system for temporomandibular disorders (TMD) based on the diagnostic criteria for TMD (DC/TMD) to assist dentists in making rapid and accurate clinical diagnosis of TMD. METHODS: Clinical and imaging data of 354 patients, who visited the Center for TMD & Orofacial Pain at Peking University Hospital of Stomatology from September 2023 to January 2024, were retrospectively collected. The study developed a clinical automated diagnostic system for TMD using the DC/TMD, built on the. NET Framework platform with branching statements as its internal structure. Further validation of the system on consistency and diagnostic efficacy compared with DC/TMD were also explored. Diagnostic efficacy of the TMD clinical automated diagnostic system for degenerative joint diseases, disc displacement with reduction, disc displacements without reduction with limited mouth opening and disc displacement without reduction without limited mouth opening was evaluated and compared with a specialist in the field of TMD. Accuracy, precision, specificity and the Kappa value were assessed between the TMD clinical automated diagnostic system and the specialist. RESULTS: Diagnoses for various TMD subtypes, including pain-related TMD (arthralgia, myalgia, headache attributed to TMD) and intra-articular TMD (disc displacement with reduction, disc displacement with reduction with intermittent locking, disc displacement without reduction with limited opening, disc displacement without reduction without limited opening, degenerative joint disease and subluxation), using the TMD clinical automated diagnostic system were completely identical to those obtained by the TMD specialist based on DC/TMD. Both the system and the expert showed low sensitivity for diagnosing degenerative joint disease (0.24 and 0.37, respectively), but high specificity (0.96). Both methods achieved high accuracy (> 0.9) for diagnosing disc displacements with reduction and disc displacements without reduction with limited mouth opening. The sensitivity for diagnosing disc displacement without reduction without limited mouth opening was only 0.59 using the automated system, lower than the expert (0.87), while both had high specificity (0.92). The Kappa values for most TMD subtypes were close to 1, except the disc displacement without reduction without limited mouth opening, which had a Kappa value of 0.68. CONCLUSION This study developed and validated a reliable clinical automated diagnostic system for TMD based on DC/TMD. The system is designed to facilitate the rapid and accurate diagnosis and classification of TMD, and is expected to be an important tool in clinical scenarios.
Humans ; Temporomandibular Joint Disorders/diagnosis* ; Retrospective Studies ; Male ; Female ; Adult ; Middle Aged ; Facial Pain/diagnosis* ; Diagnosis, Computer-Assisted/methods* ; Sensitivity and Specificity ; Young Adult

The angiogenic response is essential for the repair of ischemic brain tissue. Integrin α6 (Itga6) expression has been shown to increase under hypoxic conditions and is expressed exclusively in vascular structures; however, its role in post-ischemic angiogenesis remains poorly understood. In this study, we demonstrate that mice with endothelial cell-specific knockout of Itga6 exhibit reduced neovascularization, reduced pericyte coverage on microvessels, and accelerated breakdown of microvascular integrity in the peri-infarct area. In vitro, endothelial cells with ITGA6 knockdown display reduced proliferation, migration, and tube-formation. Mechanistically, we demonstrated that ITGA6 regulates post-stroke angiogenesis through the PI3K/Akt-eNOS-VEGFA axis. Importantly, the specific overexpression of Itga6 in endothelial cells significantly enhanced neovascularization and enhanced the integrity of microvessels, leading to improved functional recovery. Our results suggest that endothelial cell Itga6 plays a crucial role in key steps of post-stroke angiogenesis, and may represent a promising therapeutic target for promoting recovery after stroke.
Animals ; Nitric Oxide Synthase Type III/metabolism* ; Mice ; Proto-Oncogene Proteins c-akt/metabolism* ; Integrin alpha6/genetics* ; Endothelial Cells/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Stroke/pathology* ; Vascular Remodeling/physiology* ; Vascular Endothelial Growth Factor A/metabolism* ; Mice, Knockout ; Signal Transduction/physiology* ; Mice, Inbred C57BL ; Male ; Neovascularization, Physiologic/physiology*

Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but a deeper understanding of its therapeutic mechanisms and molecular biology is needed. To address this, we used single-cell transcriptomics (scRNA-seq) and spatial transcriptomics (ST) to highlight the pivotal role of tumor-associated neutrophils (TANs) among tumor-infiltrating immune cells and their therapeutic response to MTC. MNDA⁺ TANs with anti-tumor activity (N1-phenotype) are found to be abundantly infiltrated by MTC with benefit of increased blood perfusion, and these TANs are characterized by enhanced cytotoxicity, ameliorated hypoxia, and upregulated IL1B, activating T&NK cells and fibroblasts via IL1B-IL1R. In this highly anti-tumor immunogenic and hypoxia-reversed microenvironment under MTC, fibroblasts accumulated in the tumor front (TF) can recruit N1-TANs via CXCL2-CXCR2 and clear N2-TANs (pro-tumor phenotype) via CXCL12-CXCR4, which results in the aggregation of N1-TANs and extracellular matrix (ECM) deposition. In addition, we construct an N1-TANs marker, MX2, which positively correlates with better prognosis in LSCC patients, and employ deep learning techniques to predict expression of MX2 from hematoxylin-eosin (H&E)-stained images so as to conveniently guide decision making in clinical practice. Collectively, our findings demonstrate that the N1-TANs/fibroblasts defense wall formed in response to MTC effectively combat LSCC.
Humans ; Neutrophils/metabolism* ; Single-Cell Analysis ; Lip Neoplasms/genetics* ; Hyperthermia, Induced/methods* ; Microwaves/therapeutic use* ; Transcriptome ; Carcinoma, Squamous Cell/immunology* ; Tumor Microenvironment

The primary clinical manifestation of osteoarthritis (OA) is pain, yet considerable variability exists in the pain experience among OA patients. This narrative review aims to explore the mechanisms driving OA pain heterogeneity to inform the development of targeted interventions that improve treatment efficacy and patient outcomes. A comprehensive literature search was conducted across multiple databases (PubMed, Scopus, and Google Scholar) for papers published between January 1, 2020, and December 31, 2024. Inclusion criteria focused on studies addressing pain mechanisms and therapeutic interventions in OA. This review identifies key mechanisms of OA pain, including joint alterations, angiogenesis, nervous system involvement, peripheral and central sensitization, and psychosocial factors. It highlights the underlying distinct mechanisms in OA pain, which contribute to the variability in individuals' responses to treatment. It was suggested that interactions between neuroimmune and neurovascular systems are key contributors to chronic pain in OA. This narrative review emphasizes the complexity of OA pain, highlighting the importance of thoroughly understanding the underlying mechanisms for developing personalized and effective pain management strategies. Additional research is required to refine treatment approaches and explore long-term effects.
Humans ; Osteoarthritis/complications* ; Pain Management/methods* ; Chronic Pain/etiology*

Greater trochanteric pain syndrome(GTPS)is a disease caused by structural lesions of the muscles,fascia,ligaments,and bursae near the greater trochanter of the femur.GTPS causes lateral hip joint pain,severely affecting patients' quality of life.Ultrasound has many advantages,such as real-time diagnosis,portable operation,non-radiation,and high resolution,demonstrating a high application value in the diagnosis and interventional therapy of GTPS.This article reviews the current status of ultrasound in the diagnosis and interventional therapy of GTPS and prospects its application.
Humans ; Ultrasonography ; Femur/diagnostic imaging* ; Hip Joint/diagnostic imaging* ; Arthralgia/therapy*

Objective:To investigate the dynamic trend of platelet（PLT）count and mean platelet volume（MPV）in children with severe community-acquired pneumonia（SCAP）in PICU and their correlation with prognosis.Methods:A retrospective study was conducted in 215 SCAP children who were admitted to the PICU of Beijing Children's Hospital Affiliated to Capital Medical University from January 2016 to December 2019.According to the disease outcome，the patients were divided into improvement group ( n=184) and unrecovered group ( n=31).The changes of PLT count and MPV at admission，on the 2nd，3rd，and 7th days of hospitalization and before discharge were observed，and the relationship between changes in PLT parameters and poor prognosis was analyzed. Meanwhile，the correlation between thrombocytopenia on admission and on the 7th day of hospitalization and prognosis was further explored. Results:The PLT count of improvement group at admission，on the 2nd，3rd，and 7th days of hospitalization and at discharge[(328±159, 329±137, 362±159, 439±168, 510±171)×10 9/L] were significantly higher than those of unrecovered group [(210±142, 207±152, 267±143, 260±162, 343±159)×10 9/L]（ P＜0.05）.Although the MPV of improvement group [(10.9±1.9)fL] on admission was significantly lower than that of the unrecovered group[(12.7±2.5) fL]（ P＜0.05），there was no significant difference in MPV between two groups on the 2nd，3rd，7th days of hospitalization and discharge（ P＞0.05）.In addition，compared with the admission，children in improvement group had significantly higher PLT count on the 7th day of hospitalization and before discharge（ P＜0.05），but there was no significant change in unrecovered group（ P＞0.05）.Compared with SCAP patients with thrombocytopenia at admission (PLT＜100×10 9/L)( n=22),those with thrombocytopenia on 7th day of hospitalization had a significant higher rate of non recovery( P＜0.05). Conclusion:The occurrence of thrombocytopenia on admission and after 7 days of hospitalization in children with SCAP is associated with poor prognosis.No significant increase or decrease in PLT count after 7 days of hospitalization is often indicative of poor prognosis.Dynamic monitoring of PLT parameter changes may help to better judge the prognosis of severe pneumonia.