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.

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 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 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 compare the pregnancy outcomes of surviving fetuses in monochorionic diam-niotic(MCDA)twin pregnancies after selective feticide or spontaneous single intrauterine fetal demise(sIUFD),and to explore the influencing factors of prognosis.Methods:A total of 219 cases of intra-uterine death of one fetus in MCDA twin pregnancies admitted to Peking University Third Hospital from September 2010 to August 2021 were collected.According to the mode of fetal death,they were divided into the spontaneous sIUFD group(120 cases)and the selective feticide group(99 cases).Data on the maternal conditions during pregnancy,the situation of the intrauterine-dead fetus,and pregnancy out-comes were collected for retrospective case-analysis.Results:The live-birth rates of surviving fetuses in the spontaneous sIUFD group and the selective feticide group were 85.0％and 81.8％respectively,and the total perinatal survival rates of surviving fetuses were 73.3％and 81.8％respectively,and there were no statistically significant differences.Compared with the spontaneous sIUFD group,the selective feticide group had a greater gestational week at delivery,and lower rate of preterm birth before 37 weeks,neonatal asphyxia,and early neonatal mortality.Using the gestational week at delivery as the outcome variable,Cox regression analysis showed that the mode of fetal death was not a risk factor affecting the gestational week at delivery of the surviving fetus,while gestational hypertension and the gestational week of fetal death were independent risk factors affecting the gestational week at delivery of the surviving fetus.Using preterm birth before 37 weeks,intrauterine death of the surviving fetus,and abnormal neonatal cranial ultrasound as outcome variables respectively,unconditional logistic regression analysis showed that the mode of fetal death,the gestational week of fetal death,the position of the dead fetus,and fetal complications were independent risk factors affecting the outcomes of the above-mentioned survi-ving fetuses.According to the results of the univariate analysis,the above risk factors were included in the multivariate regression analysis,and the results were the same as those of the univariate analysis.Conclusion:For MCDA twin pregnancy patients with severe twin-related complications,the prognosis of surviving fetuses after selective feticide is better.The proactive intrauterine intervention and treatment are of great significance for improving the prognosis of surviving fetuses.

Objective:To observe the relationship between preoperative controlling nutritional status(CONUT)score and cognitive impairment,as well as short-term prognosis after intravenous thrombolysis(IVT)in patients with acute ischemic stroke(AIS).Methods:187 patients with AIS who were admitted to Shandong Provincial Third Hospital from January 2023 to May 2024 were selected,they were divided into non cognitive impairment group(n=106)and cognitive impairment group(n=81)based on whether cognitive impairment occurred,they were divided into poor prognosis group(n=58 cases)and good prognosis group(n=129 cases)according to the prognosis.Preoperative CONUT scores of patients with AIS for different cognitive impairments and prognoses were compared,correlation was analyzed by Spearman rank correlation,influencing factors were analyzed by multivariate logistic regression model.Results:Preoperative CONUT score in the cognitive impairment group was higher than that in the non cognitive impairment group(P＜0.05).Preoperative CONUT score in the poor prognosis group was higher than that in the good prognosis group(P＜0.05).Spearman rank correlation test results showed that,preoperative CONUT score was positively correlated with cognitive impairment and short-term prognosis after IVT(P＜0.05).Cognitive impairment were associated with age,concomitant hypertension,baseline national institutes of health stroke scale(NIHSS)score,and 25 hydroxyvitamin D3[25-(OH)2D3](P＜0.05).Age increase,concomitant hypertension,baseline NIHSS score increase,25-(OH)2D3 decrease,preoperative CONUT score increase were risk factors for cognitive impairment in patients with AIS(P＜0.05).Conclusion:Preoperative CONUT score increase is positively correlated with cognitive impairment and short-term prognosis after IVT.Meanwhile,age increase,concomitant hypertension,baseline NIHSS score increase,25-(OH)2D3 decrease,preoperative CONUT score increase are risk factors for cognitive impairment in patient with AIS.

Objective To explore the differences in stress distribution and stability of the planta pedis in the patients with unilateral and bilateral plantar fasciitis(PF)through plantar stress and center of pressure(COP)analysis.Methods A total of 100 patients with PF visiting in this hospital were enrolled,among them 50 cases were unilateral heel pain(unilateral heel pain group)and 50 cases were bilateral heel pain(bilateral heel pain).Meanwhile,50 healthy subjects were included(healthy group).In the health group and bilateral heel pain groups,the average stress value of both planta pedis surfaces of each subject was taken and named as the J0 group and H2 group,respectively.In the unilateral heel pain group,the plantar stress in 50 healthy feet and 50 affected feet were named as the J1 group and H1 group,respectively.The plantar pedis was divided into 10 regions for analysis and comparison[the first foot toe(T1),T2-5,the first-fifth metatarsal bones(M1-M5),the mid foot(MF),heel medial side(MH),heel lateral side(LH)].The subjects in 3 groups conducted the static and dynamic tests respectively,and the differences in plantar stress distribution and COP parameters among the J1,H1,H2 and J0 groups were compared respectively.Results In the static tests,the maximum pressure of the LH regions in the group J1 was increased when compared with the group J0,the contact area of LH regions in the group H1 was reduced when compared with the group J0,the maximum pressure of the M2 and M3 regions in the H1 group was increased when compared with the group J0,the contact areas of the MH and LH regions in the H2 group were decreased when compared with the group J0,the maximum pressure of the M1 region was increased when compared with the group J0,and the differences were statistically significant(P<0.05).In the dynamic tests,the maximum pressure of the T2-5 regions in the J1 group was increased when compared with the J0 group,the maximum pressure of the M3 region in the group H1 was increased when compared with the group J0,the maximum pressure of the M3 and M4 region in the group H2 was in-creased when compared with the group J0,and the differences were statistically significant(P<0.05).The COP 95%confidence ellipse area in the health group was the smallest,followed by the bilateral heel pain group,and finally the unilateral heel pain group,and the differences among 3 groups were statistically signifi-cant(P<0.05),there was also statistically significant difference between pairwise comparisons in 3 groups(P<0.05).Conclusion In the static condition,the pressure of the healthy heel and affected forefoot in the patients with PF is increased;while in the dynamic condition,the pressure of the toes of the healthy foot and forefoot of the affected foot in the patients with PF is also increased.The distribution of plantar stress in the patients with PF has larger difference compared with the healthy population,and the stability is poor.Meas-ures can be taken to improve the abnormal force on the foot,reduce pain and reduce the risk of falling.

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.

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.