Objective To investigate the post-discharge exercise behavior and factors influencing moderate to vigorous intensity physical activity (MVPA) in patients undergoing lung surgery. Methods A total of 2874 patients from the large prospective, observational perioperative lung symptom study cohort (CN-PRO-Lung 3) in the Department of Thoracic Surgery at Sichuan Cancer Hospital between April 7, 2021, and January 31, 2024, were selected as the survey subjects. A survey was conducted using the Investigation of Exercise Behavior after Lung Surgery questionnaire and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) among patients who underwent lung surgery. Binary logistic regression was used to analyze the factors influencing patients’ engagement in MVPA. Results A total of 702 patients were surveyed, including 252 males and 450 females, with an average age of (52.4±10.2) years. Patients with lung cancer accounted for 85.9%. Only 36.0% of the patients had regular exercise habits, while 42.3% did not engage in any physical activity. The three main barriers for postoperative exercise were physical discomfort (pain, coughing, shortness of breath, etc, 54.7%), lack of professional guidance (41.7%), and concerns about the surgical wound (28.9%). The proportions of patients engaging in vigorous, moderate, and low-intensity physical activity were 5.7%, 28.2%, and 66.1%, respectively. Multivariate analysis showed that patients with a personal annual income ≥50000 yuan (OR=1.52, 95%CI 1.01-2.29, P=0.044), high school education or above (OR=1.92, 95%CI 1.33-2.76, P<0.001), and lobectomy (OR=1.44, 95%CI 1.02-2.03, P=0.037) engaged in more MVPA. Conclusion Patients undergoing lung surgery have inadequate physical activity after discharge, particularly lacking in MVPA. Patients with higher income, higher educational levels, and lobectomy are more frequently engaged in MVPA. Measures such as symptom control, providing exercise guidance, and enhancing education on wound care may potentially improve the inadequate physical activity in lung surgery patients after discharge.

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.

Mucosae are the primary sites of causing infectious diseases in human beings. The high transmissibility and mortality rates of infectious diseases pose a serious threat to human health. Mucosal vaccines, which induce both mucosal and systemic immune responses, have emerged as an effective method for preventing or treating infectious diseases. This paper provides an overview of the structure and response characteristics of the mucosal immune system, as well as adjuvants and delivery vectors in vaccine design. It focuses on the multi-dimensional evaluation system of immunoprotective efficacy,covering key indicators such as antibody response, neutralization ability, antibody affinity and tissue-resident memory cells,providing reference for the future development of more effective mucosal vaccines.

Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

AIM:Study on the bioequivalence of rivaroxaban tablets from two different manufactur-ers in healthy subjects under fasting and postpran-dial conditions.METHODS:Adopting a single cen-ter,randomized,open,fasting and postprandial,four cycle,fully repeated crossover trial design.28 healthy male and female subjects were given oral administration of either the test or reference for-mulation(10 mg)on an empty stomach or in a post-prandial state,with a cleaning period of 7 days be-tween cycles.The concentration of rivaroxaban in the plasma(heparin sodium)of the subjects was measured using liquid chromatography tandem mass spectrometry(LC-MS/MS),and pharmacoki-netic(PK)parameters were calculated using Phoe-nix WinNonlin 7.0 software to evaluate the bio-equivalence of the test and reference formulations.RESULTS:Fasting group:After oral administration of the investigational drug,the Cmax of the test formula-tion and reference formulation were(200.96±68.99)ng/mL and(196.96±50.97)ng/mL,respec-tively,and the AUC0-t were(1 439.93±493.94)h·ng·mL-1 and(1 395.90±411.49)h·ng·mL-1,respectively,the AUC0-∞ were(1 506.56±511.47)h·ng·mL-1 and(1 451.94±417.89)h·ng·mL-1,respectively,the 90％confidence intervals for the geometric mean ratios of Cmax,AUC0-t,and AUC0-∞ were 91.87％-103.37％,95.00％-105.07％,95.33％-105.57％,respectively,the 90％CI of the intra-individual standard devia-tion ratio(SWT/SWR)for Cmax,AUC0-t,AUC0-∞were 0.88-1.73,0.74-1.45 and 0.72-1.41,respectively.Post-prandial group:After oral administration of the ex-perimental drug,the Cmax of the test and reference formulations were(241.23±54.44)ng/mL and(226.54±48.04)ng/mL,respectively,and the AUC0-t were(1 383.26±437.05)h·ng·mL-1 and(1 333.54±372.53)h·ng·mL-1,respectively,the AUC0-∞ were(1 404.01±439.89)h·ng·mL-1 and(1 352.31±374.45)h·ng·mL-1,respectively,the 90％confi-dence intervals for the geometric mean ratios of Cmax,AUC0-t,and AUC0-∞ were 100.92％-110.50％,98.30％-108.31％,and 98.46％-108.39％,respective-ly,the 90％CI of the intra-individual standard devia-tion ratio(SWT/SWR)for Cmax,AUC0-t and AUC0-∞ were 0.63-1.29,0.78-1.61 and 0.79-1.61,respectively.CONCLUSION:Bioequivalence of the two prepara-tions in fasting and postprandial state in healthy subjects.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective:To investigate the distribution of iodine in drinking water in Inner Mongolia Autonomous Region, and provide a basis for delineation of different types of water iodine areas and the adoption of targeted prevention and control measures, as well as scientific adjustment of intervention strategies.Methods:Using cross-sectional survey method, from June to December in 2017, a survey on the distribution of water iodine was conducted in the entire autonomous region on a township (street, Sumu, abbreviated as township) basis in accordance with the requirements of the "National Survey Plan for Iodine Content in Drinking Water". For townships with water iodine level greater than 10 μg/L found in the survey, the survey was conducted on an administrative village (community, Gacha, abbreviated as administrative village) basis. The water iodine of regions with water iodine level greater than 100 μg/L found in the survey were reviewed in 2018 - 2019. Arsenic-cerium catalytic spectrophotometry was used to test water iodine.Results:A total of 1 009 townships of 103 counties (cities, districts) were surveyed on a township by township basis, with a median water iodine of 6.7 μg/L. Among them, there were 707 townships with water iodine < 10 μg/L, accounting for 70.1%. There were 251 townships with water iodine of 10 - < 40 μg/L, accounting for 24.9%. There were 44 townships with water iodine of 40 - 100 μg/L, accounting for 4.4%. There were 7 townships with water iodine > 100 μg/L, accounting for 0.7%. A total of 3 326 administrative village of 298 townships were surveyed based on administrative villages, among which, 791 villages had water iodine < 10 μg/L, accounting for 23.8%. There were 2 031 villages with water iodine of 10 - < 40 μg/L, accounting for 61.1%. There were 468 villages with water iodine of 40 - 100 μg/L, accounting for 14.1%. There were 36 administrative villages with water iodine > 100 μg/L, accounting for 1.1%. After review, 96 administrative villages in 12 townships of 4 league cities had water iodine > 100 μg/L.Conclusions:Most areas in Inner Mongolia Autonomous Region are iodine deficiency areas, and there are localized areas with high iodine levels due to water sources. Different iodine supplementation or iodine reduction measures should be taken for areas with different water iodine levels.

Dental implant surgery,an established practice,has been widely used in patients with dentition defect.Dental implanta-tion-induced osteomyelitis of the jaw is a rare complication.Osteomyelitis of the jaw is an inflammatory change of the jaw caused by bac-terial infection or other physical and chemical factors involving the whole bone tissue,such as periosteum,blood vessels and nerves in the medullary cavity,etc.Due to protracted course and complicated treatment of the disease,the consequences will be serious if not swiftly managed.Here,an unusual case of severe mandibular osteomyelitis following mandibular implant surgery is reported.Also,re-lated literature is reviewed to elucidate the clinical characteristics and management as to highlight the understanding of this complication and provide reference for clinical prevention,diagnosis and treatment.