ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective This study applies Roy adaptation theory to deeply explore the experience of food avoid-ance behavior in patients with inflammatory bowel disease(IBD),offering insights for developing dietary management strategies.Methods A descriptive qualitative research method was employed.By purposive sampling,24 IBD pa-tients hospitalized in the gastroenterology department of a tertiary hospital in Nanjing from July 2022 to December 2024 were selected for semi-structured interviews.Data were analyzed using a directed content analysis approach.Results This study identified 4 main themes and 11 sub-themes,encompassing overattribution leading to inappro-priate avoidance(recurrent symptoms triggering overattribution,disease staging triggering inappropriate avoidance),negative self-perception leading management struggles(illness fear diminishing self-efficacy,disease trauma eroding self-identity,knowledge deficiency constraining self-determination),functional impairment intensifying role challenges(role internalization undermining social function,social roles relinquishing dietary management),and external con-straints amplifying practical difficulties(family and friend oversight heightening dietary stress,healthcare gaps foster-ing practical helplessness,traditional beliefs restricting dietary exploration,economic hardship limiting balanced nu-trition).Conclusion The interplay of overattribution,negative self-perception,functional impairment,and external constraints in IBD patients hinders their ability to adapt to disease fluctuations,ensnaring them in the adaptive predicament of food avoidance behavior.Healthcare professionals should comprehensively address these factors by fostering accurate perceptions,enhancing psychological support,guiding effective coping strategies,and optimizing ex-ternal resources,thereby improving patients' overall adaptive capacity and promoting their recovery.

Objective:To evaluate the relevant factors to optimize the learning curve and the impact of the basic skills of endoscopic technology on the learning curve of gasless transaxillary posterior endoscopic thyroidectomy.Methods:A retrospective analysis was performed to evaluate the clinical outcomes of 50 patients who underwent Glandular Ultrasound-Assisted (GUA) thyroid surgery by a surgeon with a background in endoscopic thyroid surgery via the thoracic-areolar approach, and 50 patients operated on by a surgeon without such experience at the Thyroid Surgery Department of Jilin University China-Japan Union Hospital from Apr. to Dec. 2023. The patients were divided into two groups: the Endoscopic Experience Group and the Non-Endoscopic Experience Group. The Cumulative Sum Control Chart (CUSUM) was applied to construct learning curves for both groups, dividing the technical exploration period from the mastery period. The analysis compared the surgical time, postoperative first-day drainage volume, number of central lymph nodes dissected rates, and postoperative complications between the two groups and across the two phases.Results:The analysis of the learning curve revealed that the inflection point of the Endoscopic Experience Group was 15, while of the Non-Endoscopic Experience Group was 18. The learning curve was divided into the technical exploration stage and the proficient mastery stage. The operative time of technical exploration stagde was significantly longer than of proficient mastery stage of both group (183.46±36.13min vs.144.40±26.14min, P<0.001; 186.89±48.91min vs.131.59±22.90min; P<0.001) . The operative time in the proficient mastery stage of the Endoscopic Experience Group was longer than that of the Non-Endoscopic Experience Group (144.40±26.15min vs. 131.59±22.90min, P<0.05) . The postoperative drainage volume in the Endoscopic Experience Group was lower than that in Non-Endoscopic Experience Group in both stages (65.40±32.48mL vs.93.22±30.67mL, 57.40±15.35mL vs.78.50±28.30mL, P<0.05) , and the postoperative drainage volume in the proficient mastery stage of the Non-Endoscopic Experience Group was significantly lower than in the technical exploration stage (93.22±30.67mL vs.78.50±28.30mL, P<0.05) .No significant differences in central lymph node dissection numbers or postoperative complications were observed between the groups at both stages. Conclusions:There is a specific learning curve in the early stage of gasless transaxillary posterior endoscopic thyroidectomy. After crossing the learning curve, the operation time is obviously shortened with the improvement of the operator's surgical technique.Having a basic understanding of endoscopic technology in the early stage can reduce the occurrence of postoperative drainage, but has a minimal impact on the learning curve.

Objective:To explore the epidemiological characteristics, imaging findings, pulmonary function changes, dust exposure situations, and treatment outcomes of accelerated silicosis through an analysis of existing literature.Methods:In December 2024, relevant literature from January 1, 1965 to December 15, 2024 was retrieved through the China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, EMbase, and PubMed databases. Keywords included "rapidly progressive silicosis" "accelerated silicosis" "subacute silicosis""artificial stone" and related terms. By incorporating, analyzing, and retrieving data from literatures, a comprehensive review of the epidemiology, clinical features, treatment options, and prognosis of fast forward silicosis was conducted.Results:A total of 72 literatures were included, including 23 cohort studies, 28 case reports, 3 case-control studies, and 18 cross-sectional studies. The average age of all 1794 patients was 33.67 years, with an average dust exposure duration of 5.58 years. The primary occupations associated with accelerated silicosis were stone processing, mining, and artificial quartz stone manufacturing. Imaging findings predominantly included small nodules, ground-glass opacities, and massive fibrosis. Antifibrotic treatment at the early stage of the disease could clearly delay disease progression. However, dust concentrations in workplaces were significantly above safety limits, with inadequate protective measures.Conclusion:Accelerated silicosis is characterized by its rapid onset, swift progression, and unfavorable prognosis. However, it has not garnered adequate attention in the present context. Reliable standard and guidelines are urgently needed to guide clinical diagnosis and treatment.

Objective To evaluate the clinical efficacy of a novel sleep-aid decoction in treating elderly insomnia patients with different traditional Chinese medicine (TCM) constitutional types, and its effects on neurotransmitter and inflammatory factor levels. Methods A total of 200 patients with four different TCM constitutions-peaceful, Qi-deficient, Yin-deficient, and Yang-deficient-were recruited. Peripheral blood neurotransmitter and inflammatory factor levels were measured for variations among insomnia patients across different constitutions. These patients were treated using the novel sleep-aid decoction, the effects of which were evaluated based on changes in neurotransmitters and inflammatory factors. Results Compared to the peaceful constitution group, insomnia patients with Qi-deficient, Yin-deficient, and Yang-deficient constitutions exhibited significantly elevated baseline levels of neurotransmitters (5-HT, GABA) and inflammatory factors (IL-6, TNF-α, IL-1β, CRP). Following the treatment, the Qi-deficient and Yin-deficient groups showed a marked increase in 5-HT levels, restored balance of Glu, GABA, and melatonin, and significant reductions in IL-6 and TNF-α levels. The overall effective rate was 83.5%, with optimal efficacy observed in the Qi-deficient (97.72%) and Yin-deficient (95.34%) groups. Conclusion The novel sleep-aid decoction is effective in treating insomnia in elderly patients, with the best results observed in the Qi-deficient and Yin-deficient constitution groups.
Humans ; Sleep Initiation and Maintenance Disorders/blood* ; Aged ; Male ; Female ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Middle Aged ; Tumor Necrosis Factor-alpha/blood* ; Sleep Aids, Pharmaceutical/therapeutic use* ; Anti-Inflammatory Agents/therapeutic use* ; Interleukin-6/blood* ; Interleukin-1beta/blood* ; Neurotransmitter Agents/blood* ; Aged, 80 and over ; C-Reactive Protein/metabolism*

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective To systematically evaluate malnutrition risk factors in diabetic foot patients through systematic review and inform evidence-based nutritional interventions.Methods A top-down search of the literature on risk factors for malnutrition in patients with diabetic foot was conducted according to the"6S"pyramid model,using a computerized decision-making system,clinical guideline websites,professional association websites and databases,with a timeframe of up to March 2025 for the search.Totally 2 researchers independently performed literature screening,quality assessment,and data extraction.Meta-analysis was conducted using Stata 18 software.Results Totally 23 studies with a total sample size of 5 068 cases were included.There were 10 influencing factors being extracted,including age(OR=2.709),BMI(MD=0.709),duration of diabetes mellitus(OR=2.589),glyco-sylated hemoglobin(OR=2.190),albumin(MD=0.578),hemoglobin(OR=2.948),infection(OR=1.816),C-reactive protein(OR=2.228),Wagner classification of diabetic foot(OR=4.620)and degree of self-care(OR=0.220).The incidence of malnutrition in DFU patients who were assessed by the MNA-SF tool,the MNA tool and GLIM tool were 52.2％,70.2％and 41.4％.Conclusion The incidence of malnutrition in DFU patients is relatively high.Healthcare providers should continuously monitor the nutritional status of diabetic foot patients and implement personalized intervention plans to prevent malnutrition.

Objective:To conduct a scoping review of research on the application of mobile health technology in patients undergoing bariatric and metabolic surgery, providing a reference for related practice.Methods:PubMed, Embase, Web of Science, CINAHL, Wanfang data, China National Knowledge Infrastructure, VIP, and China Biology Medicine disc were searched using terms including mobile, smart, remote, internet, bariatric, and metabolic. The search timeframe was from database inception to October 30, 2024. According to inclusion and exclusion criteria, literature was screened, and two researchers independently extracted, summarized, and analyzed the information.Results:A total of 31 studies were included. Mobile health technology was mainly applied in the form of smartphone applications for patients undergoing bariatric and metabolic surgery. The main content included postoperative dietary management, exercise guidance, and health data monitoring. The main evaluation elements involved effectiveness (behavioral change and weight loss outcomes, readmission rate, quality of life, psychological status, adherence, and economic benefits) and patient satisfaction.Conclusions:Currently, mobile health technology is mainly used via smartphone applications to manage diet and exercise for postoperative bariatric patients. It can improve postoperative weight loss outcomes, reduce negative emotions, enhance adherence, and achieve good self-management. In the future, multidisciplinary teams should be established to conduct large-scale high-quality studies, continuously improve the forms and content of mobile health management, and implement comprehensive preoperative and postoperative management for bariatric patients.