Cancer-related depression (CRD) is a common pathological depression in the diagnosis and treatment of malignant tumors and an important factor affecting the progression and treatment of tumor diseases. Abdominal vibration therapy was developed from Professor Zang's loose vibration method. It is a set of techniques that mainly operates by vibrating the Shenque point; dredging meridians; and rubbing, pushing, and holding the abdomen. This therapy has unique advantages in the treatment of emotional diseases likely because it can stimulate the abdomen; tonify the spleen and stomach; and regulate the gut organs, the qi mechanism, and vitality. On the basis of the structure of the brain-gut axis, it regulates the inflammatory response then realizes the purpose of intervening in CRD.

Objective To compare the efficacy of multivariate logistic regression and XGBoost models in predicting major adverse cardiovascular events(MACE)after percutaneous coronary in-tervention(PCI)in elderly patients with coronary artery calcification(CAC).Methods A total of 120 elderly patients with CAC lesions undergoing PCI in our hospital from June 2020 to June 2023 were retrospectively enrolled in this study.The incidence of MACE was observed during 1 year of follow-up.Nine patients were lost during the period,and the left patients were divided into MACE group(28 patients)and non-MACE group(83 patients).Multivariate logistic regression analysis and XGBoost model were used to screen the influencing factors of MACE in elderly CAC patients after PCI.ROC curve and calibration curve were drawn to compare the predictive efficiency of the two models.Results The MACE group had significantly advanced age,larger proportions of smoking and diabetes,higher LDL-C and Gensini score,and increased ratios of diseased vessels ≥3,severe calcification,combined rotary grinding and number of stent implantation when compared with the non-MACE group(P＜0.05,P＜0.01).Multivariate logistic regression model showed that smoking,diabetes,LDL-C,Gensini score,and number of stents implanted were independent risk factors for MACE in CAC patients after PCI(P＜0.05,P＜0.01).XGBoost model indicated that the top five important feature scores were Gensini score of 35,number of stent implantation score of 25,combined diabetes score of 22,smoking score of 18,and LDL-C score of 15.ROC curve analysis revealed that the AUC value of multivariate logistic regression model in predicting MACE in elderly CAC patients after PCI was 0.925(95％CI:0.859-0.966),with a sensitivity of 82.14％and a specificity of 97.59％,and the value of the XGBoost model was 0.918(95％CI:0.850-0.961),with a sensitivity of 89.29％and a specificity of 78.31％.There was no significant difference in predictive efficacy between the two models(Z=0.148,P=0.8823).Conclusion Multiple logistic regression model and XGBoost model show equally efficacy in predicting MACE in elderly CAC patients after PCI.Smoking,diabetes,LDL-C,Gensini score and number of stents implanted are independent risk factors for MACE in the patients.

Objective To compare the efficacy of multivariate logistic regression and XGBoost models in predicting major adverse cardiovascular events(MACE)after percutaneous coronary in-tervention(PCI)in elderly patients with coronary artery calcification(CAC).Methods A total of 120 elderly patients with CAC lesions undergoing PCI in our hospital from June 2020 to June 2023 were retrospectively enrolled in this study.The incidence of MACE was observed during 1 year of follow-up.Nine patients were lost during the period,and the left patients were divided into MACE group(28 patients)and non-MACE group(83 patients).Multivariate logistic regression analysis and XGBoost model were used to screen the influencing factors of MACE in elderly CAC patients after PCI.ROC curve and calibration curve were drawn to compare the predictive efficiency of the two models.Results The MACE group had significantly advanced age,larger proportions of smoking and diabetes,higher LDL-C and Gensini score,and increased ratios of diseased vessels ≥3,severe calcification,combined rotary grinding and number of stent implantation when compared with the non-MACE group(P＜0.05,P＜0.01).Multivariate logistic regression model showed that smoking,diabetes,LDL-C,Gensini score,and number of stents implanted were independent risk factors for MACE in CAC patients after PCI(P＜0.05,P＜0.01).XGBoost model indicated that the top five important feature scores were Gensini score of 35,number of stent implantation score of 25,combined diabetes score of 22,smoking score of 18,and LDL-C score of 15.ROC curve analysis revealed that the AUC value of multivariate logistic regression model in predicting MACE in elderly CAC patients after PCI was 0.925(95％CI:0.859-0.966),with a sensitivity of 82.14％and a specificity of 97.59％,and the value of the XGBoost model was 0.918(95％CI:0.850-0.961),with a sensitivity of 89.29％and a specificity of 78.31％.There was no significant difference in predictive efficacy between the two models(Z=0.148,P=0.8823).Conclusion Multiple logistic regression model and XGBoost model show equally efficacy in predicting MACE in elderly CAC patients after PCI.Smoking,diabetes,LDL-C,Gensini score and number of stents implanted are independent risk factors for MACE in the patients.

Objective:To perform routine plasma test, SARS-CoV-2 nucleic acid test, and respiratory pathogenic microorganism nucleic acid test on plasma samples collected from 1 040 healthy plasma donors in winter.Methods:Plasma samples were collected from 1 040 healthy plasma donors at Yunmeng Plasma Collection Station in the winter of 2020. Routine plasma test, HBV/HCV/HIV nucleic acid test, SARS-CoV-2 nucleic acid test, and 22 respiratory pathogenic microorganism nucleic acid test were performed to analyze the quality of blood plasmas.Results:All plasma samples were qualified in the routine tests, meeting the requirements of the Chinese Pharmacopoeia, and tested negative for SARS-CoV-2 nucleic acid. Respiratory pathogenic microorganism nucleic acids were detected in 29 samples with a positive rate of 2.79% (29/1 040). There were 21 cases of simple virus infections, including 17 cases of coronavirus subtype infection, three cases of parainfluenza virus type 2 infection, and one case of human bocavirus infection. Eight cases were mixed infections of viruses and bacteria, four of which were viral infection combined with Bordetella pertussis. The 29 positive samples were collected from people of different age groups, including two from 31-40 years old (1.96%, 2/102 ), three from 41-50 years old (1.59%, 3/189), five from 51-55 years old (1.94%, 5/257), and 19 from 56-60 years old (4.59%, 19/414). Samples from the people aged 56-60 years accounted for the most (39.81%, 414/1 040), as well as the infection rate in this age group. Conclusions:In autumn and winter, respiratory pathogenic microorganism nucleic acid test should be performed when collecting plasma samples from donors aged 56-60 years in addition to meeting the requirements of the Chinese Pharmacopoeia. It is also suggested to conduct respiratory pathogenic microorganism nucleic acid test on pooled plasma and blood products.

Objective:To perform routine plasma test, SARS-CoV-2 nucleic acid test, and respiratory pathogenic microorganism nucleic acid test on plasma samples collected from 1 040 healthy plasma donors in winter.Methods:Plasma samples were collected from 1 040 healthy plasma donors at Yunmeng Plasma Collection Station in the winter of 2020. Routine plasma test, HBV/HCV/HIV nucleic acid test, SARS-CoV-2 nucleic acid test, and 22 respiratory pathogenic microorganism nucleic acid test were performed to analyze the quality of blood plasmas.Results:All plasma samples were qualified in the routine tests, meeting the requirements of the Chinese Pharmacopoeia, and tested negative for SARS-CoV-2 nucleic acid. Respiratory pathogenic microorganism nucleic acids were detected in 29 samples with a positive rate of 2.79% (29/1 040). There were 21 cases of simple virus infections, including 17 cases of coronavirus subtype infection, three cases of parainfluenza virus type 2 infection, and one case of human bocavirus infection. Eight cases were mixed infections of viruses and bacteria, four of which were viral infection combined with Bordetella pertussis. The 29 positive samples were collected from people of different age groups, including two from 31-40 years old (1.96%, 2/102 ), three from 41-50 years old (1.59%, 3/189), five from 51-55 years old (1.94%, 5/257), and 19 from 56-60 years old (4.59%, 19/414). Samples from the people aged 56-60 years accounted for the most (39.81%, 414/1 040), as well as the infection rate in this age group. Conclusions:In autumn and winter, respiratory pathogenic microorganism nucleic acid test should be performed when collecting plasma samples from donors aged 56-60 years in addition to meeting the requirements of the Chinese Pharmacopoeia. It is also suggested to conduct respiratory pathogenic microorganism nucleic acid test on pooled plasma and blood products.

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 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 observe the clinical efficacy of Quxie Capsule combined with fruquintinib in the treatment of metastatic colorectal cancer(mCRC).Methods A prospective,non-randomized,controlled study was used to collect patients with mCRC who planned to receive third-line treatment after second-line treatment at Xiyuan Hospital of China Academy of Chinese Medical Sciences,Guang'anmen Hospital of China Academy of Chinese Medical Sciences,Dongfang Hospital Beijing University of Chinese Medicine,and Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine.The treatment group received Quxie Capsule combined with fruquintinib.The control group was treated with fruquintinib.The primary outcome measure was third-line overall survival(OS),and the secondary outcome measure was third-line progression-free survival(PFS).Results A total of 142 patients with mCRC were included in this study(79 in the treatment group and 63 in the control group).The median OS(mOS)was 19.0 months in the treatment group and 8.1 months in the control group,and the difference was statistically significant[HR=0.285,95%CI(0.183,0.436),P<0.001].The median PFS(mPFS)in the treatment group was 7 months,mPFS in the control group was 2 months,and the difference was statistically significant[HR=0.248,95%CI(0.165,0.362),P<0.001].In subgroups,such as age,gender,primary site,peritoneal metastasis,and genotype,mOS in the treatment group was longer than in the control group(P<0.001).Multivariate COX proportional hazard model analysis showed that peritoneal metastasis was an independent prognostic factor and the risk of death increased 2.14 times.The combination with Quxie Capsule was a protective factor,reducing the risk of death by 76.8%.Conclusion The Quxie Capsule combined with fruquintinib can prolong mOS survival and mPFS of mCRC treated in the third-line stage.

Objective To observe the clinical efficacy of Quxie Capsule combined with fruquintinib in the treatment of metastatic colorectal cancer(mCRC).Methods A prospective,non-randomized,controlled study was used to collect patients with mCRC who planned to receive third-line treatment after second-line treatment at Xiyuan Hospital of China Academy of Chinese Medical Sciences,Guang'anmen Hospital of China Academy of Chinese Medical Sciences,Dongfang Hospital Beijing University of Chinese Medicine,and Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine.The treatment group received Quxie Capsule combined with fruquintinib.The control group was treated with fruquintinib.The primary outcome measure was third-line overall survival(OS),and the secondary outcome measure was third-line progression-free survival(PFS).Results A total of 142 patients with mCRC were included in this study(79 in the treatment group and 63 in the control group).The median OS(mOS)was 19.0 months in the treatment group and 8.1 months in the control group,and the difference was statistically significant[HR=0.285,95%CI(0.183,0.436),P<0.001].The median PFS(mPFS)in the treatment group was 7 months,mPFS in the control group was 2 months,and the difference was statistically significant[HR=0.248,95%CI(0.165,0.362),P<0.001].In subgroups,such as age,gender,primary site,peritoneal metastasis,and genotype,mOS in the treatment group was longer than in the control group(P<0.001).Multivariate COX proportional hazard model analysis showed that peritoneal metastasis was an independent prognostic factor and the risk of death increased 2.14 times.The combination with Quxie Capsule was a protective factor,reducing the risk of death by 76.8%.Conclusion The Quxie Capsule combined with fruquintinib can prolong mOS survival and mPFS of mCRC treated in the third-line stage.

Objective:To study the expression of FOXP3 in gastric cancer and its prognostic significance.Methods:One hundred and six specimens of gastric adenocarcinoma confirmed by pathology from the Department of Gastrointestinal Surgery of the Second People′s Hospital of Lianyungang in Jan. 2005 to Dec. 2015 were selected as the observation group and 85 normal para-cancer tissues as the control group. The expression of FOXP3 in 106 cases of gastric cancer was detected by tissue microarray and immunohistochemical technology. Cox regression model was used to analyze the correlation between survival data and prognosis, and Kaplan-Meiers was used to analyze the relationship between FOXP3 expression and the prognosis of gastric cancer patients.Results:The positive rate of FOXP3 expression was 53.8% (57/106) in gastric cancer tissues and 28.2% (24/85) in paraneoplastic tissues, and the difference was statistically significant ( χ2=12.597, P<0.001). The level of FOXP3 expression in gastric cancer tissues was significantly correlated with the TNM stage of patients′ tumors ( χ2=4.402, P<0.05). Single-factor Cox survival analysis showed that age, tumor pathological grade, tumor size, whether it invaded lymph nodes, TNM stage, FOXP3 expression level and prognosis were correlated.Kaplan-Meier survival analysis showed that the survival rate of tumor cell FOXP3-positive group was lower than that of FOXP3-negative group; in the subgroup type, among the subgroups, any age group, any sex group, stage Ⅲ and Ⅳ tumor cell subgroups, low- and undifferentiated groups, tumor size <16 cm 3 group, and tumor cell FOXP3 expression-positive group invading lymph nodes had lower survival than tumor cell FOXP3 expression-negative group. Conclusions:The expression of FOXP3 is up-regulated in gastric cancer. The expression of FOXP3 in gastric cancer may be a prognostic factor, and the positive expression of FOXP3 may indicate a worse prognosis.