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 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.

This article analyzes the treatment process of a patient with respiratory failure caused by occupational acute acetonitrile poisoning. Due to operational errors, the patient's body was sprayed with a large amount of acetonitrile liquid, leading to the absorption of acetonitrile through the skin and resulting in acute poisoning. The clinical manifestations were nervous system and respiratory system damage, accompanied by severe lactic acidosis. After active comprehensive treatments such as tracheal intubation, mechanical ventilation, continuous renal replacement therapy (CRRT) , and glucocorticoids, the patient basically recovered. The treatment process of this patient indicates that early identification and correct first aid of acetonitrile poisoning are the keys to improving prognosis and can provide a reference for the handling of similar clinical cases.

Objective:To elucidate the prognostic differences and risk factors associated with different patterns of recurrence and metastasis following pancreatic cancer (PC) resection.Methods:This is a retrospective case series study. Clinicopathological data and follow-up information were retrospectively collected from 210 patients who underwent surgery for PC at the Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, between January 2014 and December 2023. There were 114 males and 96 females; the age was (64.5±10.3) years (range: 29 to 89 years). Survival functions based on different times to recurrence and metastasis and different patterns of recurrence and metastasis were estimated using the Kaplan-Meier method, and survival differences among groups were compared using the Log-rank test. Identifying the optimal cutoff for time to postoperative recurrence/metastasis predicting overall survival (OS) in pancreatic cancer patients via the minimum p-value approach. Univariate and multivariate Cox regression analyses were performed to identify independent risk factors affecting OS following pancreatectomy.Results:A total of 210 patients met the inclusion and exclusion criteria. Among them, 71 patients remained free of recurrence and metastasis, while 139 developed recurrence and metastasis. The patterns included local recurrence ( n=34), liver metastasis ( n=39), lung metastasis ( n=11), peritoneal metastasis ( n=13), multiple sites metastasis ( n=38), bone metastasis ( n=3), and kidney metastasis ( n=1). OS was significantly shorter in the group with postoperative recurrence and metastasis compared to the group without recurrence/metastasis (23.07 months vs.not reached, P<0.01). The optimal cut-off time distinguishing early from late recurrence and metastasis was 13 months. There was a significant difference in post-recurrence survival between patients with early and late recurrence and metastasis (16.03 months vs. 52.40 months, P=0.009). The Kaplan-Meier survival curve showed that different postoperative recurrence and metastasis patterns had different impacts on OS, with lung metastasis showing the best prognosis compared to local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastasis ( P<0.01). Multivariate Cox analysis revealed that Eastern Cooperative Oncology Group (ECOG) score 1, postoperative carcinoembryonic antigen (CEA) ≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for postoperative recurrence and metastasis (all P<0.05). Conclusions:Considerable prognostic heterogeneity exists in postoperative PC patients depending on the site and pattern of recurrence or metastasis. Specifically, lung metastasis portends a significantly more favorable prognosis than liver metastasis, peritoneal metastasis, local recurrence, or multiple sites metastases. ECOG score 1, postoperative CEA≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for OS in postoperative PC patients.

This study aims to clarify the incidence and prevention status of dairy cow mastitis in 79 large-scale pastures in China in 2022,reduce the incidence of dairy cow mastitis,and provide scien-tific basis for formulating prevention and control strategies for dairy cow mastitis in large-scale pastures suitable for China's national conditions.The research team relied on the large-scale ranch of the Comprehensive Experimental Station of National Dairy Industry Technology System to car-ry out research.A total of 79 questionnaires were received.The information on the stock of large-scale farms,the proportion of cows in the herd,the level of cow yields,the incidence and cure rate of cow mastitis,the prevention and control of cow mastitis,diagnosis and treatment programs of cow mastitis,the cost of treating cow mastitis,and the culling rate of farms was collected.Chi-square test and correlation analysis were carried out on the incidence of mastitis in dairy cows and the prevention and control plan,treatment plan,yield level and elimination rate of mastitis in dairy cows by descriptive statistical cross table.The incidence of cow mastitis in some pastures was con-trolled between 5％and 10％,and the cure rate was mostly as high as 98％.According to the co-hort analysis,the importance of prevention and control measures for dairy cow mastitis was as fol-lows:DMT＞DHI＞milk yield＞milk traits＞breast apparent change＞electrical conductivity＞CMT.The importance of treatment measures for dairy cow mastitis is as follows:DMT＞DHI＞milk yield＞milk traits＞breast apparent changes＞electrical conductivity＞CMT.The importance of treatment measures for mastitis is as follows:traditional Chinese medicine＞pathogen detection and drug sensitivity test＞non-steroidal anti-inflammatory drugs＞regular maintenance of milking equipment＞normal milking without treatment＞broad-spectrum antibiotics.The incidence of mas-titis in dairy cows is moderately positively correlated with the yield per unit area,that is,the in-crease in the incidence of mastitis in dairy cows has a certain impact on the yield per unit area of dairy cows.Economic analysis shows that the treatment cost of mastitis is closely related to the in-cidence rate,and the treatment cost of pasture with higher incidence rate is higher.Pastures with higher yields usually have more efficient means of disease prevention and control,and the corre-sponding treatment costs are lower.In conclusion,China's large-scale pastures should strengthen the scientific feeding management level,improve the prevention and control methods to reduce the incidence of cow mastitis,improve the cure rate,and reduce the cost of pasture treatment.

Objective To explore the clinical effect of transcranial direct current stimulation(tDCS)treatment strategy based on bi-modal balance model on upper limb dysfunction after ischemic stroke.Methods From October,2023 to December,2024,60 patients with ischemic stroke in General Hospital of Ningxia Medi-cal University were randomly divided into control group(n=30)and experimental group(n=30).Both groups received basic rehabilitation,the control group received tDCS based on the theory of interhemispheric competi-tion model,and the experimental group received tDCS based on the theory of bimodal equilibrium model,for four weeks.Before and after intervention,the effect of both groups was evaluated using Fugl-Meyer Assessment-Upper Extremities(FMA-UE),modified Ashworth Scale(MAS),Action Research Arm Test(ARAT)and modi-fied Barthel Index(MBI).Neurophysiological parameters such as cortical latency(CL)and central motor conduc-tion time(CMCT)were detected and correlated analysis was performed.Results Two cases in the control group and one in the experimental group dropped down.After intervention,the scores of FMA-UE,ARAT and MBI increased in both groups(|t|>13.748,P<0.001),and the above scores were higher in the experimental group than in the control group(|t|>2.321,P<0.05);the MAS grade of the elbow flexor muscle group improved in the experimental group(|Z|=2.095,P<0.05).The CL and CMCT in both groups de-creased(|t|>2.752,P<0.001),and they were better in the experimental group than in the control group(|t|>2.082,P<0.05).There was a correlation between FMA-UE and CMCT(r=-0.433,P<0.05).Conclusion tDCS based on bimodal balance model can improve upper limb dysfunction more effectively in patients with ischemic stroke.

Objective:To investigate the value of 24 h urinary aldosterone(24 h-UAC) measurement by liquid chromatography-tandem mass spectrometry(LC-MS/MS) in the subtype classification of primary aldosteronism(PA).Methods:A total of 86 patients with PA, including 51 with unilateral primary aldosteronism(UPA) and 35 with bilateral primary aldosteronism(BPA), were enrolled in the Department of Endocrinology and Metabolism at West China Hospital between January 2018 and December 2022. Plasma aldosterone concentration(PAC), plasma renin concentration(PRC) and 24 h-UAC were measured by LC-MS/MS. 24-hour urinary electrolytes and 24-hour urinary creatinine(24 h-UCR) were also measured. The diagnostic value of 24 h-UAC in PA subtype classification was evaluated using receiver operating characteristic(ROC) curve analysis. Multivariate logistic regression analysis was conducted with PA subtypes as the dependent variable(UPA=1, BPA=0) to establish a diagnostic model for differentiating unilateral from bilateral lesions, and its performance was compared with published Chinese classification models. Results:There were no statistical differences between the UPA and BPA groups in terms of age, gender, BMI, systolic and diastolic blood pressure, 24 h urinary potassium, sodium, chloride, 24 h-UCR and PRC( P<0.05). The lowest plasma potassium level was significantly lower in the UPA group than in the BPA group, while PAC, 24 h-UAC, aldosterone-renin ratio(ARR), and 24 h-UAC/UCR were significantly higher( P<0.05). The detection rate of typical adenomas on imaging also showed a significant difference between the two groups( P<0.05). The area under the ROC curve(AUC) of 24 h-UAC for differentiating UPA from BPA was 0.829(95% CI 0.733-0.902), with an optimal cut-off value of 15.4 μg/24 h, yielding a sensitivity of 68.63% and a specificity of 88.57%( P<0.001). At a cut-off value of 24.5 μg/24 h, specificity reached 100%, with a sensitivity of 27.45%. Multivariate analysis indicated that a combined model incorporating 24 h-UAC, the lowest plasma potassium level, and imaging findings of typical adenomas significantly improved diagnostic accuracy for PA subtyping, achieving a specificity of 91.43%. Compared with the existing Chinese modified Küpers scoring model and CONPASS prediction model, this model demonstrated higher diagnostic efficiency, a lower missed diagnosis rate, and a misdiagnosis rate intermediate between the two. Conclusion:The 24 h-UAC in UPA patients is significantly higher than in BPA patients, making it a valuable marker for PA subtype classification. A predictive model combining 24 h-UAC, the lowest plasma potassium level, and imaging evidence of typical adenomas demonstrated high diagnostic accuracy for PA subtype classification and may provide valuable guidance for clinical decision-making.

Objective To explore the clinical effect of transcranial direct current stimulation(tDCS)treatment strategy based on bi-modal balance model on upper limb dysfunction after ischemic stroke.Methods From October,2023 to December,2024,60 patients with ischemic stroke in General Hospital of Ningxia Medi-cal University were randomly divided into control group(n=30)and experimental group(n=30).Both groups received basic rehabilitation,the control group received tDCS based on the theory of interhemispheric competi-tion model,and the experimental group received tDCS based on the theory of bimodal equilibrium model,for four weeks.Before and after intervention,the effect of both groups was evaluated using Fugl-Meyer Assessment-Upper Extremities(FMA-UE),modified Ashworth Scale(MAS),Action Research Arm Test(ARAT)and modi-fied Barthel Index(MBI).Neurophysiological parameters such as cortical latency(CL)and central motor conduc-tion time(CMCT)were detected and correlated analysis was performed.Results Two cases in the control group and one in the experimental group dropped down.After intervention,the scores of FMA-UE,ARAT and MBI increased in both groups(|t|>13.748,P<0.001),and the above scores were higher in the experimental group than in the control group(|t|>2.321,P<0.05);the MAS grade of the elbow flexor muscle group improved in the experimental group(|Z|=2.095,P<0.05).The CL and CMCT in both groups de-creased(|t|>2.752,P<0.001),and they were better in the experimental group than in the control group(|t|>2.082,P<0.05).There was a correlation between FMA-UE and CMCT(r=-0.433,P<0.05).Conclusion tDCS based on bimodal balance model can improve upper limb dysfunction more effectively in patients with ischemic stroke.

This study aims to clarify the incidence and prevention status of dairy cow mastitis in 79 large-scale pastures in China in 2022,reduce the incidence of dairy cow mastitis,and provide scien-tific basis for formulating prevention and control strategies for dairy cow mastitis in large-scale pastures suitable for China's national conditions.The research team relied on the large-scale ranch of the Comprehensive Experimental Station of National Dairy Industry Technology System to car-ry out research.A total of 79 questionnaires were received.The information on the stock of large-scale farms,the proportion of cows in the herd,the level of cow yields,the incidence and cure rate of cow mastitis,the prevention and control of cow mastitis,diagnosis and treatment programs of cow mastitis,the cost of treating cow mastitis,and the culling rate of farms was collected.Chi-square test and correlation analysis were carried out on the incidence of mastitis in dairy cows and the prevention and control plan,treatment plan,yield level and elimination rate of mastitis in dairy cows by descriptive statistical cross table.The incidence of cow mastitis in some pastures was con-trolled between 5％and 10％,and the cure rate was mostly as high as 98％.According to the co-hort analysis,the importance of prevention and control measures for dairy cow mastitis was as fol-lows:DMT＞DHI＞milk yield＞milk traits＞breast apparent change＞electrical conductivity＞CMT.The importance of treatment measures for dairy cow mastitis is as follows:DMT＞DHI＞milk yield＞milk traits＞breast apparent changes＞electrical conductivity＞CMT.The importance of treatment measures for mastitis is as follows:traditional Chinese medicine＞pathogen detection and drug sensitivity test＞non-steroidal anti-inflammatory drugs＞regular maintenance of milking equipment＞normal milking without treatment＞broad-spectrum antibiotics.The incidence of mas-titis in dairy cows is moderately positively correlated with the yield per unit area,that is,the in-crease in the incidence of mastitis in dairy cows has a certain impact on the yield per unit area of dairy cows.Economic analysis shows that the treatment cost of mastitis is closely related to the in-cidence rate,and the treatment cost of pasture with higher incidence rate is higher.Pastures with higher yields usually have more efficient means of disease prevention and control,and the corre-sponding treatment costs are lower.In conclusion,China's large-scale pastures should strengthen the scientific feeding management level,improve the prevention and control methods to reduce the incidence of cow mastitis,improve the cure rate,and reduce the cost of pasture treatment.