Xuefu zhuyu decoction is a classic formula for promoting blood circulation and resolving blood stasis， characterised by its remarkable ability to treat different diseases with the same approach. Qi stagnation and blood stasis， the primary syndrome for which this formula is indicated， has been found through modern medical research to be intrinsically linked to a wide range of pathophysiological processes， including microcirculatory disorders， abnormalities in hemorheology， inflammatory responses and endothelial dysfunction； which opens up vast scope for the innovative application of traditional formulas. In terms of pharmacological effect and mechanism， the formula exerts a synergistic regulatory effect across multiple key pathological pathways， including the regulation of coagulation function， the maintenance of vascular structure and function， anti-inflammatory and immunomodulatory actions， the mitigation of oxidative stress， and the modulation of programmed cell death （such as pyroptosis and ferroptosis）. This systematically demonstrates its scientific rationale， which is based on integrated regulation through multiple constituents， multiple targets and multiple pathways. In terms of clinical application， the formula has expanded from cardiovascular diseases to multiple disciplines， including gastroenterology， respiratory medicine， urology， neurology， endocrinology， gynaecology and andrology， with evidence-based medical evidence continuing to accumulate. Current research still faces bottlenecks such as a relatively low level of clinical evidence， insufficient systems biology analysis of the mechanisms underlying the compound’s formulation， and a weak correlation between quality control indicators and therapeutic efficacy. Future efforts should focus on conducting multicentre randomised controlled trials for conditions where the formula demonstrates particular efficacy， deepening research into the relationship between integrated pharmacology and spectrum-efficacy relationship， and promoting the precise application and formulation innovation of classical herbal formulas.

Xuefu zhuyu decoction is a classic formula for promoting blood circulation and resolving blood stasis， characterised by its remarkable ability to treat different diseases with the same approach. Qi stagnation and blood stasis， the primary syndrome for which this formula is indicated， has been found through modern medical research to be intrinsically linked to a wide range of pathophysiological processes， including microcirculatory disorders， abnormalities in hemorheology， inflammatory responses and endothelial dysfunction； which opens up vast scope for the innovative application of traditional formulas. In terms of pharmacological effect and mechanism， the formula exerts a synergistic regulatory effect across multiple key pathological pathways， including the regulation of coagulation function， the maintenance of vascular structure and function， anti-inflammatory and immunomodulatory actions， the mitigation of oxidative stress， and the modulation of programmed cell death （such as pyroptosis and ferroptosis）. This systematically demonstrates its scientific rationale， which is based on integrated regulation through multiple constituents， multiple targets and multiple pathways. In terms of clinical application， the formula has expanded from cardiovascular diseases to multiple disciplines， including gastroenterology， respiratory medicine， urology， neurology， endocrinology， gynaecology and andrology， with evidence-based medical evidence continuing to accumulate. Current research still faces bottlenecks such as a relatively low level of clinical evidence， insufficient systems biology analysis of the mechanisms underlying the compound’s formulation， and a weak correlation between quality control indicators and therapeutic efficacy. Future efforts should focus on conducting multicentre randomised controlled trials for conditions where the formula demonstrates particular efficacy， deepening research into the relationship between integrated pharmacology and spectrum-efficacy relationship， and promoting the precise application and formulation innovation of classical herbal formulas.

Objective To investigate the prevalence and related factors of sarcopenia among non–bedridden older adults in the community of Baoshan District using the China mini sarcopenia risk assessment 7 (C-MSRA-7) combined with Ishii scoring system. Methods The older individuals consulting at 20 community health stations in Baoshan District between April 2025 and June 2025 were enrolled. Data were collected using a general information questionnaire, a dietary and lifestyle habits survey, the C-MSRA-7, and the mini nutritional assessment-short form (MNA-SF). Handgrip strength and anthropometric measurements were also obtained. Individuals with both Ishii score and C-MSRA-7 results positive were classified into the sarcopenia risk group, while the remaining participants were assigned to the non–sarcopenia risk group. Differences in lifestyle habits, dietary patterns, and nutritional status between the two groups were compared. Results A total of 2 611 valid questionnaires were retrieved. Univariate analysis showed statistically significant differences in alcohol consumption, physical activity frequency, body mass index (BMI), nutritional status, activities of daily living, and regularity of three meals in sarcopenia risk group (n＝486) and non–sarcopenia risk group (n＝2 125, P<0.05). Logistic regression analysis showed that advanced age (75–84 years: OR＝2.55, 95%CI 2.03–3.21; ≥85 years: OR＝3.98, 95%CI 2.24–7.07), underweight status (OR＝2.19, 95%CI 1.50–3.19), weight loss＞2 kg (OR＝4.52, 95%CI 2.68–7.64) past 3 months, lack of regular physical activity (OR＝1.77, 95%CI 1.24–2.52) , and alcohol consumption (OR＝1.48, 95%CI 1.07–2.05) were independent risk factors for sarcopenia (P<0.05). Behaviors related to healthy diet, including daily milk consumption (OR＝0.40, 95%CI 0.30–0.52), regular three meals (OR＝0.56, 95%CI 0.41–0.78), and high-quality protein intake (OR＝0.70, 95%CI 0.52–0.94), were protective factors (P<0.05). Conclusions Sarcopenia among community–dwelling, non–bedridden older adults is closely associated with physical activity levels, dietary habits, and nutritional status. Early identification of individuals at risk, enhanced nutritional education, and timely implementation of nutritional interventions and exercise programs are recommended for this population.

Purpose: This research observed the efficacy and safety of soft tissue expansion combined with recombinant human epidermal growth factor (rhEGF) in repairing second-degree scald scars. Methods: This study conducted a prospective, single-blind, randomized controlled trial. Eighty-four patients with deep second-degree scald scars were evenly divided into the control and observation groups. The control group was treated with soft tissue expansion, and the observation group was additionally treated with rhEGF. The skin expansion and wound healing times were compared. The changes in wound exudate and inflammation around the wound were observed after first-stage surgery. The hydroxyproline (OHP) and collagen I/III ratios were compared during the second stage of surgery.The complications and repair effects during treatment were evaluated. Results: The observation group exhibited lower expansion time, immediate retraction rate, and wound healing time, higher skin expansion rate, higher wound exudate score and inflammation score, higher OHP, lower collagen I/III, lower complication rate, and higher total effective rate than the control group (all P < 0.05). Conclusion Skin soft tissue expansion combined with rhEGF is more effective in repairing second-degree scald scars, which can effectively increase skin expansion area and reduce wound infection and complications.

Purpose: This research observed the efficacy and safety of soft tissue expansion combined with recombinant human epidermal growth factor (rhEGF) in repairing second-degree scald scars. Methods: This study conducted a prospective, single-blind, randomized controlled trial. Eighty-four patients with deep second-degree scald scars were evenly divided into the control and observation groups. The control group was treated with soft tissue expansion, and the observation group was additionally treated with rhEGF. The skin expansion and wound healing times were compared. The changes in wound exudate and inflammation around the wound were observed after first-stage surgery. The hydroxyproline (OHP) and collagen I/III ratios were compared during the second stage of surgery.The complications and repair effects during treatment were evaluated. Results: The observation group exhibited lower expansion time, immediate retraction rate, and wound healing time, higher skin expansion rate, higher wound exudate score and inflammation score, higher OHP, lower collagen I/III, lower complication rate, and higher total effective rate than the control group (all P < 0.05). Conclusion Skin soft tissue expansion combined with rhEGF is more effective in repairing second-degree scald scars, which can effectively increase skin expansion area and reduce wound infection and complications.

To evaluate the diagnostic performance of a three-gene (GBP5, DUSP3, and TBP) tuberculosis (TB) score in bacteriologically-negative pulmonary tuberculosis, and to develop and validate a discriminative diagnostic model by integrating inflammatory cytokines (IL-2, IL-5, IL-17, and IFN-γ). A prospective cohort study was conducted, a total of 238 patients admitted to the Affiliated Infectious Disease Hospital of Soochow University from May 2023 to May 2024 were enrolled, including 119 pathogen-negative pulmonary tuberculosis patients and 119 patients with other pulmonary diseases (OPD). The GeneXpert MTB-HR kit was used to detect the three-gene TB scores from residual blood routine samples. The diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. Concurrent data on 12 inflammatory cytokines were collected from patients. Potential biomarkers were screened using univariate analysis and multivariate logistic regression, and selected features were incorporated into the construction of four machine learning models: logistic regression, support vector machine (SVM), K-nearest neighbors (KNN), and adaptive boosting (AdaBoost). The samples were randomly split into a training set (85%) and a test set (15%). The models were trained on the training set, and their diagnostic performance was validated using the test set. The predictive ability of each model was evaluated based on ROC curve parameters. The results showed that the three-gene TB score alone yielded an AUC of 0.539 (sensitivity: 50.94%, specificity: 60.50%) in distinguishing pathogen-negative pulmonary tuberculosis from OPD. Four non-col-linear inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) were selected and combined with the three-gene TB score to construct machine learning models. The AdaBoost model demonstrated the best performance, achieving an AUC of 0.893 (sensitivity: 85.4%, specificity: 73.0%) in the training set and an AUC of 0.873 (sensitivity: 88.2%, specificity: 72.2%) in the test set. In conclusion,the AdaBoost diagnostic model integrating the three-gene TB score with inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) exhibits superior discriminating performance for pathogen-negative pulmonary tuberculosis compared to OPD, significantly outperforming the three-gene TB score alone.

Objective To compare the value of Logistic regression model and XGBoost model in predicting the risk of thrombosis in elderly patients with CHF complicated with LRTI.Methods A total of 138 elderly CHF patients with LRTI admitted to our department from April 2019 to April 2024 were prospectively enrolled,and divided into thrombus group(43 cases)and non-thrombus group(95 cases)according to whether thrombosis occurred.Clinical data of these pa-tients were collected,and two risk prediction models of thrombosis in these patients were con-structed based on logistic regression and XGBoost regression,respectively.The predictive value was compared between the two models.Results The thrombus group had higher neutrophil count,NLR,and CRP,D-D and vWF levels,and increased MA,estimated dissolution percentage,and percentage LY30,but K and R and lower coagulation index than the non-thrombus group(P＜0.01).NLR,CRP,D-D,vWF,LY30,K and R were influencing factors for thrombosis in the elderly CHF patients with LRTI(P＜0.05,P＜0.01).The AUC value of the multivariate logistic regression model and XGBoost model in predicting thrombosis in the patients was 0.915(95％CI:0.861-0.986)and 0.894(95％CI:0.841-0.971),respectively,with a sensitivity of 85.40％and 88.90％and a specificity of 96.50％and 82.30％,respectively.There was no statistical difference in AUC value between the two models(Z=0.573,P=0.678).Hosmer Lemeshow test showed the differences were not significant in the calibration curves of the multivariate logistic regression model and XGBoost model(x2=0.485,P=0.452;x2=0.669,P=0.335).Conclusion Multivari-ate logistic regression model and XGBoost model show equivalent efficacy in predicting thrombo-sis in CHF patients with LRTI.Abnormal levels of NLR,CRP,D-D,vWF,LY30,K,and R are im-portant factors affecting thrombosis in these elderly patients.

OBJECTIVE To explore the diagnostic value of the guanylate binding protein 5(GBP5)gene in pa-tients infected with Mycobacterium tuberculosis(MTB).METHODS Patients who visited the Fifth People's Hos-pital of Suzhou from Jan.2024 to May 2024,as well as individuals undergoing health examinations during the same period,were selected as the study subjects.Based on the diagnostic criteria,the subjects were divided into active tuberculosis(ATB)group(230 cases),pneumonia group(207 cases),latent tuberculosis infection(LTBI)group(48 cases)and healthy control(HC)group(122 cases).Real-time quantitative reverse transcription poly-merase chain reaction was used to detect the expression level of the GBP 5 gene in the whole blood of the subjects,and receiver operating characteristic(ROC)curves were employed to analyze its diagnostic performance.RESULTS There were statistically significant differences in GBP5 gene expression among the four groups(P＜0.001).The area under the ROC curve(AUC)for GBP5 in distinguishing the ATB group from the HC group,LTBI group and pneumonia group was 0.902,0.813 and 0.745,respectively.In the ATB group,the positive de-tection rate of the GBP5 method was 67.39％,higher than that of Gene Xpert MTB/RIF(62.20％),tuberculosis culture(60.00％)and smear acid-fast staining(35.20％)(P＜0.05).When distinguishing between ATB and LTBI patients,the positive prediction value of GBP5 was 95.09％,higher than that of IGRA testing(79.92％)(P＜0.05).The expression level of GBP5 was negatively correlated with the MTB bacterial load(P＜0.001).CONCLUSIONS The detection of the GBP5 gene has important clinical significance in the auxiliary diagno-sis of tuberculosis and can serve as an effective supplement to existing diagnostic methods for tuberculosis.