1.Construction of a prediction model for systemic inflammatory response syndrome in patients undergoing interventional surgery for type B aortic dissection based on logistic regression and decision tree algorithm
Pingzhen ZHANG ; Guiqin WU ; Yuanyuan FU ; Chunyan LIU ; Qiongyan DUAN ; Xiaojing PAN ; Zhouzhen CHEN ; Xia CHEN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(07):1085-1092
Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.
2.Significance of carcinoembryonic antigen level changes before and after treated with gefitinib in patients with advanced non-small cell lung cancer
Jinjin CAO ; Qiongyan DAI ; Manlin DUAN
Journal of Clinical Medicine in Practice 2014;(9):65-67,75
Objective To discuss significance of carcinoembryonic antigen level changes be-fore and after the treatment of gefinitib in patients with non-small cell lung cancer(NSCLC). Methods 40 patients with advanced NSCLC in Ⅲ~Ⅳ period were enrolled and given routine local chemotherapy and gEfitinib,and the therapy was which until the patients were intolerant to it.All the patients were given carcinoembryonic antigen (CEA)test before and after treatment and were divided into high CEA group and low CEA group according to CEA level before treatment.Follow-up lasted until December 2013,adverse reactions and PFS in 2 groups were observed.Results Before treatment,the difference was not significant in CEA levels in control group and uncontrolled group (P >0.05).After treatment,CEA levels in 2 groups were obviously lower than the treat-ment before (P <0.01)and CEA level in control group was obviously lower than that in the uncon-trolled group(P <0.01).Occurrence rate of adverse reactions in high CEA group was higher than low CEA group but the difference were not significant (P >0.05).Survival rates of 9 and 12 months in high CEA group were markedly higher than that in thee low CEA group (P <0.05). Conclusion CEA level can be considered as a biochemical index of assessing prognosis of gefitinib in treatment of advanced NSCLC.
3.Significance of carcinoembryonic antigen level changes before and after treated with gefitinib in patients with advanced non-small cell lung cancer
Jinjin CAO ; Qiongyan DAI ; Manlin DUAN
Journal of Clinical Medicine in Practice 2014;(9):65-67,75
Objective To discuss significance of carcinoembryonic antigen level changes be-fore and after the treatment of gefinitib in patients with non-small cell lung cancer(NSCLC). Methods 40 patients with advanced NSCLC in Ⅲ~Ⅳ period were enrolled and given routine local chemotherapy and gEfitinib,and the therapy was which until the patients were intolerant to it.All the patients were given carcinoembryonic antigen (CEA)test before and after treatment and were divided into high CEA group and low CEA group according to CEA level before treatment.Follow-up lasted until December 2013,adverse reactions and PFS in 2 groups were observed.Results Before treatment,the difference was not significant in CEA levels in control group and uncontrolled group (P >0.05).After treatment,CEA levels in 2 groups were obviously lower than the treat-ment before (P <0.01)and CEA level in control group was obviously lower than that in the uncon-trolled group(P <0.01).Occurrence rate of adverse reactions in high CEA group was higher than low CEA group but the difference were not significant (P >0.05).Survival rates of 9 and 12 months in high CEA group were markedly higher than that in thee low CEA group (P <0.05). Conclusion CEA level can be considered as a biochemical index of assessing prognosis of gefitinib in treatment of advanced NSCLC.

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