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.

OBJECTIVES: To compare the commonly used methods for analyzing treatment switching in clinical trials to facilitate selection of optimal methods in different scenarios. METHODS: Based on the data characteristics of patient conversion in oncology clinical trials, we simulated the survival time of patients across different scenarios and compared the bias, mean square error and coverages of the treatment effects derived from different methods. RESULTS: The sample size had an almost negligible impact on the outcomes of the various methods. Compared to conventional methods, more complex methods (RPSFTM, IPCW, TSE, and IPE) resulted in lower errors across different scenarios. The IPCW method could cause a significant increase in errors in cases where the probability of conversion was high. The TSE method had the lowest error and mean squared error when the risk was low and the probability of conversion was high. The IPE method had an obvious advantage in the scenario with a low probability of conversion, but it may slightly underestimate the treatment effect when the inflation factor was small. CONCLUSIONS The choice of a specific method for analyzing cohort transition should be made based on considerations of both the probability of conversion and inflation factor in different scenarios.
Humans ; Clinical Trials as Topic/methods* ; Neoplasms/therapy*

Objective To observe the efficacy of ruiyun procedure for hemorrhoids(RPH)combined with conformal suture in the treatment of severe prolapsed hemorrhoids.Methods Seventy-eight patients with severe prolapsed hemorrhoids admitted to the First People's Hospital of Xuzhou from June 2021 to August 2022 were selected and divided into observation group and control group according to random number table method,with 39 cases in each group.Patients in observation group were treated with RPH combined with conformal suture,and patients in control group were treated with external peeling and internal ligation.Operation duration,intraoperative blood loss,postoperative complications,wound healing time,anal function and overall satisfaction were compared between two groups.Results The intraoperative blood loss in observation group was significantly less than that in control group,hospital stay was significantly shorter than that in control group(P<0.05).Postoperative pain,bleeding,anal edema and the formation of anal skin pad in observation group were significantly better than those in control group(P<0.05).At 12 weeks after surgery,Wexner anal incontinence scores in both groups were significantly lower than before surgery(P<0.05),and the Wexner anal incontinence score in observation group was significantly lower than that in control group(P<0.05).The cure rate of observation group was significantly higher than that of control group(92.31%vs.74.36%,χ2=55.46,P=0.03),and the overall satisfaction with treatment was significantly higher than that of control group(χ2=58.57,P=0.02).Conclusion RPH combined with conformal suture is effective in treatment of severe prolapsed hemorrhoids,which can reduce the pain of patients,shorten the length of hospital stay,reduce complications,and improve the comfort and satisfaction of patients.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective:To explore the role and relationship between oxidative stress and immune infiltration in idiopathic pul-monary fibrosis(IPF),and to predict the relevant therapeutic herbal medicines and active ingredients.Methods:GSE10667 gene expression profiles were downloaded from GEO database to obtain differential expression genes,differential expression of oxidative stress genes(DEOSGs)were identified in combination with oxidative stress genes.GSEA was used to evaluate the pathways and biologi-cal processes in IPF,and GO,KEGG and PPI network analysis were performed on DEOSGs.Candidate central genes were derived from PPI results and CytoHubba,and GSE110147 was validated as an independent group to identify central genes;in addition,the immune microenvironment of samples was evaluated using CIBERSORTF,and correlation between central gene levels and relative proportion of immune cells was explored;finally,therapeutic herbal medicines and components were predicted by central genes,and mole-cular docking verification was carried out.Results:A total of 51 DEOSGs,four central genes(ICAM-1,APOE,MMP-1,TGF-β2)were obtained;DEOSGs were mainly related to oxidative stress,immune response,etc;four central gene levels were closely correlated with 8 relative proportions of immune cells;therapeutic herbal medicines included 4 flavors such as Huangqi and Chuanxiong,and the active ingredients included 8 kinds of β-carotene,etc,the molecular docking results were stable.Conclusion:Oxidative stress and immune firing are exist in IPF,and oxidative stress may be recognized by immune cells or directly activate immune cells.

【Objective】 Dyslipidemia has shown to be associated with cardiovascular, metabolic and renal diseases. This study aimed to investigate the association between residual cholesterol and the risk of subclinical renal damage (SRD). 【Methods】 A total of 2 342 participants were recruited from the previously established Hanzhong Adolescent Hypertension Study cohort. According to estimated glomerular filtration rate(eGFR) and urinary albumin-to-creatine ratio(uACR), the subjects were divided into SRD group and non-SRD group. The associations of residual cholesterol with eGFR, uACR, and the risk of SRD were analyzed by multiple linear and Logistic regression analyses. 【Results】 Residual cholesterol was positively correlated with uACR(r=0.081, P<0.001) but negatively correlated with eGFR (r=-0.091, P<0.001). Multiple linear regression analysis revealed that residual cholesterol was an influencing factor of uACR (β=0.075, P<0.001) and eGFR (β=-0.027, P<0.001) after adjustment for gender, age, smoke, alcohol, exercise, BMI, hypertension, diabetes and serum uric acid. In addition, Logistic regression analysis revealed that residual cholesterol was significantly associated with the risk of SRD independently of potential confounders [OR(95% CI)=1.387 (1.113-1.728), P<0.001]. Further subgroup analysis showed that residual cholesterol was significantly associated with the risk of SRD in women but not in men. 【Conclusion】 Residual cholesterol is a contributing factor in the risk of subclinical renal damage with gender-specific association.

【Objective】 4-like protein with down-regulated expression and development in neural precursor cells (NEDD4L) plays an important role in blood pressure (BP) regulation and sodium homeostasis by regulating epithelial sodium channel protein. In this study, we aimed to explore the relationship of NEDD4L gene polymorphisms with BP responses to sodium and potassium intake. 【Methods】 In 2004, 514 subjects from 124 families in Meixian County, Shaanxi Province, were recruited to establish a salt-sensitive hypertension study cohort. All the subjects received a 3-day baseline survey, a 7-day low-salt diet, a 7-day high-salt diet, and finally a 7-day high-salt and potassium supplementation. Their BP was measured and peripheral blood samples were collected at different intervention periods. The 14 gene polymorphisms of NEDD4L gene were genotyped and analyzed by MassARRAY platform. 【Results】 BP decreased on a low-salt diet, and significantly increased on a high-salt diet, and decreased again after potassium supplementation. NEDD4L SNPs rs74408486 were significantly associated with systolic BP, diastolic BP and mean arterial pressure responses to the low-salt diet. SNPs rs292449 and rs2288775 were significantly associated with pulse pressure response to the high-salt diet. In addition, SNPs rs563283 and rs292449 were significantly associated with diastolic BP, mean arterial pressure, and pulse pressure responses to high-salt and potassium supplementation diet. 【Conclusion】 NEDD4L gene polymorphisms were significantly associated with BP responses to sodium and potassium intake, suggesting that NEDD4L gene may be involved in the development of salt sensitivity and potassium sensitivity.

【Objective】 Based on our previously established salt-sensitive hypertension cohort, we aimed to examine the association of genetic variants in uromodulin with blood pressure(BP) responses to dietary interventions of sodium and potassium intake. 【Methods】 In 2004, 514 subjects from 124 families in Mei County, Shaanxi Province, were recruited to establish the salt-sensitive hypertension study cohort. Among them, 333 non-parent subjects were selected and sequentially maintained on a normal-diet for 3 days, low-salt diet for 7 days, then a high-salt diet for 7 days and a high-salt diet with potassium supplementation for another 7 days. Thirteen single nucleotide polymorphisms(SNPs) in the uromodulin gene were genotyped on the MassARRAY platform. 【Results】 BP levels decreased from the baseline to low-salt diet, increased from low-salt to high-salt diet, and decreased again from the high-salt diet to the high-salt plus potassium supplementation intervention. SNPs rs77875418 and rs4997081 of the uromodulin gene were significantly associated with diastolic BP(DBP) and mean arterial pressure(MAP) responses to high-salt diet. In addition, SNPs rs77875418, rs79245268, rs4293393, rs6497476, rs4997081, rs13333226, and rs12917707 were significantly associated with systolic BP(SBP), DBP, and MAP responses to high-salt diet with potassium supplementation. 【Conclusion】 Genetic variants in uromodulin gene are significantly associated with BP responses to sodium and potassium supplementation, suggesting that uromodulin may be mechanistically involved in BP sodium-sensitivity and potassium-sensitivity.

【Objective】 M3 muscarinic acetylcholine receptor(M3 receptor), encoded by CHRM3 gene, is widely distributed in the cardiovascular system and plays an important role in cardiac regulation. The aim of this study was to assess the association of genetic variants in M3 receptor with blood pressure(BP) responses to controlled dietary sodium and potassium interventions. 【Methods】 A total of 333 subjects from 124 families were recruited from the rural areas of northern China. After a three-day baseline observation, they were sequentially on a seven-day low-salt diet, a seven-day high-salt diet, and a seven-day high-salt diet plus potassium supplementation. Thirteen CHRM3 single nucleotide polymorphisms(SNPs) were selected for analysis. 【Results】 SNP rs10802811 of the CHRM3 was significantly associated with diastolic BP(DBP) and mean arterial pressure(MAP) responses to both low-salt and high-salt diets while SNPs rs6429147, rs373288072, rs114677844 and rs663148 showed significant associations with systolic BP(SBP) and MAP responses to high-salt diet. In addition, SNP rs6692904 was significantly associated with SBP, DBP and MAP responses to high-salt diet with potassium supplementation. 【Conclusion】 Genetic variants in M3 receptor are significantly associated with BP responses to sodium and potassium intervention, suggesting that M3 receptor may be mechanistically involved in BP salt and potassium sensitivity.