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 Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

ObjectiveTo analyze the pharmacodynamic activity of Bupleuri Radix processed with Trionyx sinensis blood in the treatment of Yin deficiency and study the spectrum-effect relationship of this medicine. MethodsHigh performance liquid chromatography was employed to establish the fingerprints of 15 batches of Bupleuri Radix processed with Trionyx sinensis blood， and the similarity was evaluated according to the SOP of Similarity Evaluation System of Chromatographic Fingerprint of TCM （version 2012）. A mouse model of Yin deficiency induced by thyroxine was established. The relationship between the active components and the effect on Yin deficiency was explored by grey correlation analysis and partial least squares method based on the changes in the serum levels of triiodothyronine （T3）， thyroxine （T4）， cyclic adenosine phosphate （cAMP）， and cyclic guanosine phosphate （cGMP）. The components screened out based on the spectrum-effect relationship were used for retrieval of the targets from the Traditional Chinese Medicine Systems Pharmacology and Analysis Database （TCMSP）， The Encyclopedia of Traditional Chinese Medicine （ETCM）， and Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）. Furthermore， the Online Mendelian Inheritance in Man （OMIM）， GeneCards， TTD， DisGeNET， and Drugbank were employed to establish the active component-target against Yin deficiency network of Bupleuri Radix processed with Trionyx sinensis blood. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses were carried out for the core targets. Real-time PCR was conducted to verify the predicted key pathways and mechanisms. ResultsThe fingerprints of the 15 batches of Bupleuri Radix processed with Trionyx sinensis blood showed the similarities of 0.976-0.999 with the control fingerprint. Compared with the model group， the drug administration group showed elevated levels of T3 and T4 and lowered levels of cAMP， cGMP and cAMP/cGMP. The results of grey correlation analysis showed that active components in terms of the correlations followed the trend of saikosaponin B₁ > saikosaponin B₂ > saikosaponin C > saikosaponin D > saikosaponin A. The partial least squares analysis showed that saikosaponins A， D， B₁， and B₂ had higher VIP values. Network pharmacology predicted a total of 30 common targets， which were enriched in 276 GO terns and 115 KEGG pathways. The results of Real-time PCR showed that the model group had lower mRNA levels of Caspase-9， kinase insert domain receptor （KDR）， and mammalian target of rapamycin （mTOR） and higher mRNA level of mouse double minute 2 homolog （MDM2） than the blank group and the drug administration group. ConclusionBupleuri Radix processed with Trionyx sinensis blood has therapeutic effect on Yin deficiency syndrome， which provides a new idea for studying Bupleuri Radix processed with Trionyx sinensis blood.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

As the application of immune checkpoint inhibitors(ICIs)in the perioperative treatment of melanoma is increasingly introduced at earlier stages,it presents a critical opportunity for the development and clinical translation of neoadjuvant therapy.The results of phaseⅠ/Ⅱ clinical trials on neoadjuvant ICI therapy for melanoma demonstrate that neoadjuvant ICIs effectively improve the pathologic re-sponse rate in melanoma patients.Recent studies have shown that combining ICIs with other treatment modalities,including radiotherapy,chemotherapy,and targeted therapies,can enhance antitumor efficacy of neoadjuvant treatment for patients with melanoma.Optimizing treatment regimens,managing adverse events,identifying and addressing pseudoprogression,and handling cases of oligoprogression have become key areas of research in incorporating ICI regimens into neoadjuvant treatment for patients with melanoma.The search for bio-markers to monitor immunotherapy efficacy is expected to become a major focus of future research.This article provides a review of the re-search progress,controversies,and challenges in the application of ICIs in the neoadjuvant treatment of melanoma,and discusses future re-search directions,aiming to offer insights into the clinical application and development of ICIs in melanoma neoadjuvant therapy.

Immunotherapy has become a pivotal treatment regimen for hepatocellular carcinoma (HCC); however, its efficacy is influenced by various factors. Hepatitis B virus (HBV) infection is one of the primary etiological factors leading to HCC. HBV DNA replication can alter the immune microenvironment through multiple mechanisms, notably by upregulating the expression of programmed cell death protein 1 (PD-1) and its ligand (PD-L1), thereby facilitating tumor immune escape. Paradoxically, this upregulation of PD-1/PD-L1 may enhance the response rate to PD-1/PD-L1 inhibitors and potentiate the antitumor effect. This review aims to summarize current research progress on the relationship between HBV DNA load and the efficacy of PD-1/PD-L1 inhibitors, explore the underlying mechanisms, and provide a scientific basis for promoting personalized treatment strategies for patients with HBV-related HCC.

Objective:To evaluate lung ultrasound (LUS) for assessing lung aeration heterogeneity in neonatal respiratory distress syndrome (NRDS) across gestational ages and analyze its correlation with oxygenation.Methods:This retrospective cohort study enrolled 125 ventilated NRDS neonates from the neonatal intensive care unit of Hebei Children's Hospital (from March 2023 to May 2024), who were stratified as <32 gestational weeks ( n=47) and ≥32 gestational weeks ( n=78). All underwent LUS, chest X-ray, and blood gas analysis within 2 h of admission. The lung ultrasound score (LUSsc) quantified impaired lung volume percentage (graded: A=normal, B=coalescent B-lines, C=dense B-lines/focal consolidation, D=lobar consolidation). Aeration heterogeneity was measured by coefficient of variation (CV, within-patient) and Gini-Simpson index (between-patients), while oxygenation was assessed by arterial oxygen partial pressure/inhaled oxygen concentration (P/F). Group comparisons, including basic information, lung aeration, and lung aeration heterogeneity, used two independent sample t-tests, Mann-Whitney U tests, Chi square tests, or Wilcoxon tests; partial correlation analyzed aeration-oxygenation relationships. Results:(1) Analysis of impaired lung volume percentage revealed similar distribution patterns between groups, with the <32-week cohort ( n=47, 564 lung segments) showing proportions of 15.6% (88/564), 14.9% (84/564), 35.5% (200/564), and 34.0% (192/564) for graded patterns A through D, respectively, while the ≥32-week cohort ( n=78, 936 segments) demonstrated corresponding proportions of 15.7% (147/936), 16.3% (153/936), 31.7% (297/936), and 36.2% (339/936), with no statistically significant difference between groups ( Z=－0.24, P=0.812). (2) Within-patient heterogeneity analysis revealed no significant CV difference between <32-week group and ≥32-week group [0.33 (0.20-0.84) vs. 0.43 (0.21-0.73), Z=－0.99, P=0.321]. (3) Between-patient heterogeneity was significantly higher in the ≥32-week group, as reflected by the Gini-Simpson index [0.12 (0.09-0.14) vs. 0.09 (0.06-0.14), Z=－1.99, P=0.046], with heterogeneous aeration predominantly located in non-gravity-dependent regions—specifically the left upper lung in the <32-week group and anterior lungs in the ≥32-week group. (4) Correlation analyses demonstrated significantly inverse relationships between CV and LUSsc in <32-week and ≥32-week groups ( r=－0.912, P<0.001; r=－0.886, P<0.001), while the ≥32-week group additionally showed positive CV-P/F correlation ( r=0.373, P=0.001) and inverse LUSsc-P/F association ( r=－0.287, P=0.013). Conclusions:LUS effectively evaluates aeration and its heterogeneity in early NRDS. Infants ≥32 weeks exhibit greater between-patient heterogeneity, with ventilation parameters correlating significantly with oxygenation status.

Objective:To investigate the preferences for professional risks insurance among healthcare professionals in Chinese tertiary hospitals,providing a reference for understanding core demands and formulating personalized insurance plans.Methods:A questionnaire survey was conducted among 187 healthcare professionals from 9 tertiary hospitals in Shandong Province using acombination of stratified and convenience sampling.Mixed Logit models and the joint utility method were employed for analysis of the overall sample and clinical/non-clinical subgroups.Results:The mixed Logit model revealed that the type of compensation,insurance platform,and insurance duration significantly influenced the insurance attribute preferences of healthcare professionals(P<0.05),with the type of compensation having the greatest impact(β=0.220).The joint utility analysis indicated that insurance duration was of the highest relative importance(39%),while the premium amount was of the least importance(4%).In subgroup analysis,for clinical professionals,the type of compensation and insurance duration significantly influenced insurance attribute preferences,with the type of compensation having the greatest impact(β=0.277),followed by insurance duration.For non-clinical professionals,the premium amount and insurance platform were significant factors,with the premium amount being the most influential.Conclusion:Efficiency is a common core consideration for healthcare professionals when choosing insurance preferences,while economic factors are not central to the considerations of clinical professionals.The influence and role of medical associations in mitigating occupational risks need to be enhanced.It is suggested that future insurance products should fully consider the differences in the scope of practice,target certain attributes for enhancement,and strengthen the influence of medical associations in ensuring professional risks.

Objective To design an 8-channel gene analyzer to take the place of the widely used gene analyzer with problems in inconvenient consumable replacement and short storage time of electrophoresis polymer.Methods The 8-channel gene analyzer had its mechanical components composed of an automatic sample loading table,a polymer injection module,a high-voltage temperature control module,an optical module and an integrated U box,its electrical control system made up of a host computer(an embedded computer)and three slave computers(a sampling control board,a polymer injection control board and a high-voltage temperature control board).The automatic sample loading table involved in four motors and transmission systems for x,y,z directions and optical alignment,the transmission systems adopted mainly belt drive mode and the optical alignment motor had its threads with an anti-backlash structure;the polymer injuection module was manipulated by the polymer injection control board,and the polymer block was made of highly transparent acrylic material;the high-voltage temperature control module realized the regulation of electrophoresis voltage and the detection of electrophoresis current by the low-ripple precision high-voltage power supply,and controlled the temperature of the heating furnace by the proportional-integral-differential(PID)algorithm;the optical module consisted of an excitation module and a light-receiving module,which had the base of the reflector made of low expansion coefficient alloy material;the integrated U box had the electrophoresis polymer,capillary array,polymer block and anode buffer in a plastic housing;the host computer had the data acquisition software programmed with C# and C++,and the slave computers were controlled by STM32 SCM.Results The 8-channel gene analyzer had no significant differences with the widely used ABI3500 gene analyzer in resolution,precision accuracy and clinical results.Conclusion The 8-channel gene analyzer gains advantages in consumable replacement and storage time of electrophoresis polymer,and can meet the requirements for gene sequencing.[Chinese Medical Equipment Journal,2025,46(2):24-30]