Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group(n=94)and poor healing group(n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic(ROC)curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P＜0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve(AUC)was 0.635,the sensitivity was 55.4％,the specificity was 68.1％,and the critical value was 57.5.When BMI＞24.9 kg/m2,the area under the curve(AUC)was 0.735,the sensitivity was 87.5％,the specificity was 61.7％,and the critical value was 24.9(P＜0.001).When hemoglobin＜101.5 g/L,the area under the curve(AUC)was 0.829,the sensitivity was 57.1％,the specificity was 94.7％,and the critical value was 101.5 g/L(P＜0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI＞24.9 kg/m2,age＞57.5 years old and hemoglobin＜101.5 g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.

Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group(n=94)and poor healing group(n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic(ROC)curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P＜0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve(AUC)was 0.635,the sensitivity was 55.4％,the specificity was 68.1％,and the critical value was 57.5.When BMI＞24.9 kg/m2,the area under the curve(AUC)was 0.735,the sensitivity was 87.5％,the specificity was 61.7％,and the critical value was 24.9(P＜0.001).When hemoglobin＜101.5 g/L,the area under the curve(AUC)was 0.829,the sensitivity was 57.1％,the specificity was 94.7％,and the critical value was 101.5 g/L(P＜0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI＞24.9 kg/m2,age＞57.5 years old and hemoglobin＜101.5 g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.

Objective:To predict the mechanism of Danggui Buxue Decoction for anti-myocardial ischemia-reperfusion injury and "treating different diseases with the same method" in ischemic stroke based on network pharmacology and molecular docking.Methods:The active components and targets of Danggui Buxue Decoction were screened by retrieving the database of TCMSP and literature; the corresponding targets of myocardial ischemia-reperfusion injury and ischemic stroke were found by OMIM and GeneCards database; the intersection targets of Danggui Buxue Decoction and disease were obtained by using Venny diagram, and the common target network and protein-protein interaction network were constructed by Cytoscape 3.7.1 software and STRING database. The GO and KEGG pathways were enriched by David Database, and the Bio GPS database was used to obtain the tissue distribution information of the key targets. The molecular docking technology was used to verify the results.Results:There were 21 active components in Danggui Buxue Decoction, 181 effective targets and 93 cross targets with diseases. The key components were quercetin, Kaempferol, β-sitosterol, formononetin and isorhamnetin. The key targets were AKT1, TNF, IL6, IL-1β and VEGFA. The enrichment results showed that the main action pathways were fluid shear force and arteriosclerosis, lipid and arteriosclerosis, AGE-RAGE signal pathway in diabetic complications, and the core targets were mainly located in the medullary cells, dendritic cell, smooth muscle, prostate, thyroid and other tissues. The results of molecular docking showed that quercetin had the best binding effect to IL-1β, while isorhamnetin had the best binding effect to IL-1β.Conclusion:Danggui Buxue Decoction is against myocardial ischemia-reperfusion injury and ischemic stroke through hemodynamics, lipid metabolism, inflammatory reaction, oxidative stress, immune reaction and cell apoptosis, plays the role of "treating different diseases with the same method".