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find Keyword "Cox regression analysis" 3 results
  • Cox Regression Analysis of Factors Influencing Postoperative Survival Rate of Gastric Cancer Patients .

    【Abstract】ObjectiveTo study the influence of clinicopathologic characteristics and surgical treatment of gastric cancer on patients’ survival rate.MethodsFrom Apr.1994 to Aug.2005, the data of 759 gastric cancer patients concerning surgical treatment, pathological diagnosis and outcome were collected. Retrospective analysis of the results was made, 3-year and 5-year survival rates were calculated by Kaplan-Meier curve method, univariate analysis was done through Logrank and multiple factors comparison through Cox regression analysis, and follow-up duration was 4-131 months.ResultsSingle factor analysis indicated that age,tumor location,diameter of tumor, Borrmann type, type of histology, TNM stage, depth of infiltration, lymph node metastasis, liver metastasis, peritoneal dissemination, blood of transfusion during operation, extent of the radical cure of the tumor and excision techniques were significantly influential factors for the prognosis of patients. Cox regression analysis showed that tumor location, diameter of tumor,depth of infiltration, lymph node metastasis,liver metastasis, TNM stage, peritoneal dissemination, blood transfusion during operation, extend of the radical cure of the tumor and excision techniques were independent factors influencing the postoperative survival rate.ConclusionIndependent factors influencing the postoperative survival rate include tumor location, diameter of tumor, lymph node metastasis, infiltration depth of the tumor, pathological classification, liver metastasis, peritoneal dissemination, and TNM stage, extent of the radical cure of the tumor, lymphanodectomy techniques and blood transfusion during operation are also important factors.

    Release date:2016-08-28 04:20 Export PDF Favorites Scan
  • Effect of Preoperative Regional IntraArterial Infusion Chemotherapy on the Prognosis of Advanced Gastric Cancer

    ObjectiveTo evaluate the effect of preoperative regional intraarterial infusion chemotherapy on the prognosis of advanced gastric cancer. MethodsThe clinical data of 80 patients who underwent curative resection for advanced gastric cancers were summarized.Among them,33 patients carried out preoperative regional intraarterial infusion chemotherapy were as the interventional chemotherapy group,and the remaining 47 patients were the control group.Eleven factors including clinical and pathological data,treatment procedures and molecular biological makers that contributed to the longterm survival rate were analyzed by Cox multivariate regression analysis.ResultsThe 5year survival rate of the interventional group was 59.3%,and the control group 47.6%.There was significant difference between two groups (P<0.05).Multivariate regression analysis revealed that the preoperative regional intraarterial infusion chemotherapy was one of the independent factors affecting the longterm survival of patients with advanced gastric cancers.ConclusionThe preoperative regional intraarterial infusion chemotherapy has important value for improving the prognosis of gastric cancer.

    Release date:2016-08-28 04:49 Export PDF Favorites Scan
  • Analysis of Related Factors Influencing the Early Survival Time of Patients Undergoing Return of Spontaneous Circulation after Cardio-pulmonary Resuscitation

    ObjectiveTo find out the possible factors that may affect the survival time of patients undergoing return of spontaneous circulation (ROSC) within seven days of cardio-pulmonary resuscitation. MethodWe retrospectively collected 20 clinical indicators from 51 patients who underwent ROSC after cardio-pulmonary resuscitation in Emergency Department between August 2013 and February 2015. The indicators included gender, age, duration of cardio-pulmonary resuscitation, blood pressure acquired immediately after ROSC, heart rate, respiration, lactic acid, creatinine, prothrombin time, bilirubin, pH, arterial partial pressure of carbon dioxide, potassium, sodium, blood glucose, atrial natriuretic peptides, leukocyte, platelets, and hemoglobin. Then we analyzed the correlation of these indicators with survival time through Cox regression model. ResultsThe results showed that duration of cardiopulmonary resuscitation[RR=1.053, 95% CI (1.020, 1.088), P=0.002] and systolic blood pressure acquired immediately after ROSC[RR=0.991, 95% CI (0.982, 0.999), P=0.038] significantly affected the survival time of patients after ROSC. ConclusionsDuration of cardiopulmonary resuscitation and systolic blood pressure acquired immediately after ROSC may be useful in predicting the survival time of patients after ROSC.

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