Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Neurogastroenterology and motility disorders of the upper gastrointestinal (GI) tract represent a complex and heterogeneous group of conditions that involve the interaction between the GI tract and the central nervous system. They constitute a significant number of outpatient gastroenterology visits, resulting in a high healthcare burden. These disorders often occur in the absence of identifiable structural causes on routine endoscopy and radiological imaging. A more targeted approach in the assessment of functional GI disorders is increasingly being integrated into routine clinical practice, given the recent advancements in technology and physiologic testing. When used in the appropriate clinical context, these tests not only elucidate the physiological basis for the patient's symptoms, but also prevent inappropriate treatment and repeated investigations. This review aims to summarise the advances in clinically available diagnostic tools for the evaluation of upper GI functional disorders.
Humans ; Gastrointestinal Diseases/physiopathology* ; Upper Gastrointestinal Tract/physiopathology* ; Gastrointestinal Motility ; Endoscopy, Gastrointestinal

OBJECTIVE: To evaluate the effectiveness of the innervated medial plantar flap for reconstructing soft tissue defects, particularly in the weight-bearing zone, after resection of foot tumors. METHODS: A retrospective analysis was conducted on 12 patients with malignant skin and soft tissue tumors of the foot treated between October 2023 and December 2024. The cohort included 8 males and 4 females, aged 42-67 years (mean, 57.5 years). Tumor types comprised malignant melanoma (5 cases), squamous cell carcinoma (4 cases), arsenical keratosis (2 cases), and tumor-induced osteomalacia (1 case). Soft tissue defects located in the heel weight-bearing region in 10 cases and non-weight-bearing ankle region in 2 cases, with defect sizes ranging from 4.0 cm×3.0 cm to 6.0 cm×4.0 cm. Preoperative photon-counting CT angiography (PC-CTA) was performed to assess the medial plantar artery and its perforators. All patients underwent radical tumor resection with confirmed negative margins. The resulting defects were reconstructed using a innervated medial plantar flap incorporating sensory branches of the medial plantar nerve. The flap donor site was covered with a split-thickness skin graft harvested from the ipsilateral inguinal region. RESULTS: The operation was successfully completed in all 12 patients. All flaps survived completely without vascular compromise, partial necrosis, or total loss. Incisions healed primarily without dehiscence or infection. Minor skin graft necrosis occurred at the donor site in 3 patients, which healed within 2-3 weeks with routine dressing changes. No donor site complication (e.g., tendon or nerve injury) occurred. Patients were followed up 2-16 months (mean, 10.3 months). At last follow-up, there was no tumor recurrence. Flaps exhibited good color and texture match with surrounding tissue, restored sensation, and all feet achieved normal weight-bearing activity. CONCLUSION The innervated medial plantar flap, precisely designed based on PC-CTA localization, provides reliable blood supply and effective sensory restoration. It is an ideal method for reconstructing soft tissue defects after foot tumor resection, especially in the heel weight-bearing region.
Humans ; Male ; Middle Aged ; Female ; Plastic Surgery Procedures/methods* ; Adult ; Aged ; Retrospective Studies ; Soft Tissue Neoplasms/surgery* ; Surgical Flaps/blood supply* ; Foot/surgery* ; Skin Neoplasms/surgery* ; Soft Tissue Injuries/surgery* ; Carcinoma, Squamous Cell/surgery* ; Treatment Outcome ; Skin Transplantation/methods* ; Melanoma/surgery*

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective Through the development of"real-time monitoring,early warning and tracking management sys-tem for infectious diseases in hospitals",real-time monitoring and early warning are realized,report cards are generated,and case tracking and management of infectious diseases are formed.Methods We selected 22 185 cases of infectious disease re-ports from April 2020 to October 2022 and 33 640 cases of infectious disease reports from November 2022 to May 2024,and com-pared the 19-month period before and after the launch of the new infectious disease early warning management system with that be-fore the launch of the original traditional infectious disease reporting management system,and compared the rate of infectious dis-ease reporting,the accuracy of infectious disease reporting,the timeliness of infectious disease reporting(time),the accuracy of infectious disease reporting,and the quality of infectious disease reporting(time),Infectious disease reporting timeliness(time),effectiveness of infectious disease tracking,and clinical medical staff's satisfaction with infectious disease reporting were compared and analyzed.Results After the use of the new hospital infectious disease early warning and tracking management sys-tem,the differences in infectious disease reporting rate,infectious disease reporting accuracy,infectious disease reporting timeli-ness,infectious disease tracking effectiveness,and clinical medical staff's satisfaction with infectious disease reporting were all sta-tistically significant(P＜0.05).Conclusion The development of"real-time monitoring,early warning and tracking management system for infectious diseases in hospitals"has significantly improved the reporting rate of infectious diseases,the accuracy of infec-tious disease reporting,the timeliness of infectious disease reporting,the effectiveness of infectious disease tracking,and the satis-faction of infectious disease reporting of clinical medical staff,and it has the characteristics of real-time,high efficiency and accura-cy,and the effect of early warning and tracking management is good,which has good value for promotion.It is characterized by re-al-time,high efficiency and accuracy,with good effect of early warning and tracking management,and has good promotion value.

Objective:To investigate the influencing factors for splenomegaly secondary to acute pancreatitis (AP) and construction of a nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 180 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from December 2017 to December 2021 were collected. There were 124 males and 56 females, aged (49±15) years. Among them, 60 AP patients who developed secondary splenomegaly were taken as the case group, including 48 males and 12 females, aged (47±13)years, and the rest of 120 cases of AP without secondary splenomegaly were taken as the control group, including 76 males and 44 females, aged (50±16)years. Observation indicators: (1) occurrence and clinical characteristics of splenomegaly secondary to AP; (2) influencing factors for splenomegaly secondary to AP; (3) construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the rank sum test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. The univariate analysis was performed using statistical methods appropriate to the data type. The optimal cut-off value was determined by the receiver operating characteristic curves. Multivariate analysis was conducted using the Logistic regression model with forward method. Based on the results of the multivariate analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve was drawn, and the discrimination was evaluated using the area under curve. The consistency of the nomogram prediction model was evaluated using calibration curve, and its clinical benefit was evaluated using decision curve. Results:(1) Occurrence and clinical characteristics of splenomegaly secondary to AP. The first detection time of 60 patients with splenomegaly secondary to AP was 60(30,120)days after the onset of AP. Cases with persistent respiratory dysfunction, multiple organ failure, severity of illness as mild or moderately severe/severe, pancreatic and/or peripancreatic infection, surgery were 19, 17, 4, 56, 37, 32 for 60 patients with splenomegaly secondary to AP, versus 16, 19, 43, 77, 39, 29 for 120 patients without splenomegaly secondary to AP, respectively, showing significant differences in the above indicators between the two groups ( χ2=8.58, 3.91, 17.64, 13.95, 15.19, P<0.05). (2) Influencing factors for splenomegaly secondary to AP. Resuts of multivariate analysis showed that white blood cell count <5.775×10?/L within 24 hours of AP onset, revised computed tomography (CT) severity index >7 in 3-7 days after onset and the presence of local complications were independent risk factors influencing the splenomegaly secondary to AP ( odds ratio=3.85, 2.86, 6.40, 95% confidence interval as 1.68-8.85, 1.18-6.95, 1.56-26.35, P<0.05). (4) Construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. The nomogram prediction model was constructed based on white blood cell count within 24 hours of AP onset, revised CT severity index in 3-7 days after onset and local complications. The area under the receiver operating characteristic curve of the nomogram prediction model was 0.76 (95% confidence interval as 0.69-0.83, P<0.05), with a sensitivity of 0.87 and a specificity of 0.55. The calibration curve demonstrated consistency between the predicted rate from the nomogram prediction model and the actually observed rate. The decision curve analysis indicated that the nomogram prediction model had favorable clinical practicability. Conclusions:Patients with AP who develop secondary splenomegaly tend to have a higher severity of illness than those develop no secondary splenomegaly. White blood cell count <5.775×10?/L within 24 hours of AP onset, revised CT severity index >7 in 3-7 days after onset and presence of local complications are independent risk factors influencing splenomegaly secondary to AP, and its nomogram prediction model can predict incidence rate of splenomegaly secondary to AP.

Hepatic encephalopathy is a clinical syndrome of central nervous system dysfunction caused by liver insufficiency.It severely affects the quality of life of patients and may lead to death.Accurate prediction of the risk of developing hepatic encephalopathy is crucial for early intervention and treatment.In order to identify the risk of hepatic encephalopathy in patients in advance,many studies have been devoted to efforts to develop tools and methods to identify the risk of hepatic encephalopathy as early as possible,so as to develop preventive and early management strategies.Most conventional hepatic encephalopathy risk prediction models currently assess the prob-ability of a patient developing hepatic encephalopathy by analysing factors such as clinical data and biochemical indicators,however,their accuracy,sensitivity and positive predictive value are not high.The application of artificial intelligence to clinical predictive modelling is a very hot and promising area,which can use large amounts of data and complex algorithms to improve the accuracy and efficiency of diagnosis and prognosis.To date,there have been few studies using AI techniques to predict hepatic encephalopathy.Therefore,this paper reviews the research progress of hepatic encephalopathy risk prediction models,and also discusses the prospect of AI application in hepatic encephalopathy risk prediction models.It also points out the challenges and future research directions of AI in HE risk prediction model research in order to promote the development and clinical application of hepatic encephalopathy risk prediction models.

SWOT analysis is used to identify the strengths and external opportunities of scientific research management in hospitals.It facilitates the establishment of a systematic and rational approach to scientific research project management,help-ing hospitals to mitigate internal weaknesses and address external threats.This article chooses Y Hospital to carry out a case stud-y.SWOT analysis was done to investigate the hospital's strengths,weaknesses,opportunities,and threats.Based on the analysis results,it proposes targeted management strategies of"SO,""WO,""ST,"and"WT".After the use of the strategies in the management,the number of funded scientific research projects,published papers,registered invention patents,and achievements transferred from the scientific research remarkably increases,driving the improvement of research quality.

Tumor is one of the serious problems threatening human health. There are some limitations in the delivery of commonly used tumor therapy technologies, and the therapeutic effect is not satisfactory, so new anti-tumor strategies need to be developed. The process of tumor cells using glycolysis to produce energy under aerobic conditions is called aerobic glycolysis, which is closely related to tumor growth, proliferation and metastasis, and can provide a new target spot for tumor treatment. Nano drug delivery system has been widely used in targeted tumor therapy because of its advantages of targeted drug delivery, improved anti-tumor efficacy and reduced toxic side effects. Numerous studies have shown that more and more nano drug delivery systems regulates aerobic glycolytic metabolism by targeting to potential targets such as signaling factors or reaction products of aerobic glycolytic process in tumors, and therefore enhance the anti-tumor effect. This paper reviews the application of nano drug delivery system in regulating tumor aerobic glycolysis, and provides theoretical references for realizing efficient targeted tumor therapy.