目的基于术前血清IL-6、前列腺素E2(PGE2)、TNF-α构建预测膀胱癌术后复发的列线图模型。方法回顾性收集2018年6月至2023年2月临平区第一人民医院收治的348例膀胱癌患者的临床资料,经计算机产生随机数表并以2∶1比例将其分为训练集(232...目的基于术前血清IL-6、前列腺素E2(PGE2)、TNF-α构建预测膀胱癌术后复发的列线图模型。方法回顾性收集2018年6月至2023年2月临平区第一人民医院收治的348例膀胱癌患者的临床资料,经计算机产生随机数表并以2∶1比例将其分为训练集(232例)和验证集(116例)。所有患者均接受随访,将发生复发的患者纳入复发组,未发生复发的患者纳入未复发组。比较训练集复发组、未复发组血清IL-6、PGE2、TNF-α水平及一般资料;用Logistic回归模型分析训练集膀胱癌术后复发的影响因素,并建立回归方程;用ROC曲线分析术前IL-6、PGE2、TNF-α单独及联合预测膀胱癌术后复发的效能;建立膀胱癌术后复发的风险预测列线图模型,并验证其效能。结果与未复发组比较,复发组血清IL-6、PGE2、TNF-α水平升高,肿瘤直径增大,多发性肿瘤、肿瘤分期T 2~T 4、肿瘤WHO病理学分级Ⅱ~Ⅲ级的构成比升高,术后规律膀胱灌注的构成比降低(P<0.05)。Logistic回归分析显示,术前血清IL-6、PGE2、TNF-α、肿瘤分期、肿瘤WHO病理学分级是膀胱癌术后复发的影响因素(P<0.05),并建立Logistic回归方程:Y=1.718 X 1+2.081 X 2+1.815 X 3+2.319 X 4+1.868 X 5。ROC曲线显示,术前IL-6、PGE2、TNF-α预测膀胱癌术后复发的最佳截断点分别为0.60 ng/L、57.13 pg/mL、2.10 ng/mL,三者单独及联合预测膀胱癌的ROC曲线下面积(AUC ROC)分别为0.729、0.743、0.733和0.825。基于训练集Logistic回归分析结构建立膀胱癌术后复发的风险预测列线图模型,该模型预测训练集、验证集的敏感性分别为94.12%、90.20%,特异性分别为90.06%、87.29%,AUC ROC分别为0.940、0.914;Bootstrap法内部验证结果显示,训练集、验证集的C-index分别为0.918(95%CI:0.824~0.987)、0.901(95%CI:0.835~0.957)。结论术前血清IL-6、PGE2、TNF-α水平是膀胱癌术后复发的影响因素,据此建立的风险预测列线图模型具有良好的预测效能。展开更多
1-Decene was oligomerized over the supported AlCl3/γ-Al2O3 catalyst in a fixed-bed reactor. The effects of temperature and LHSV on oligomerization of 1-decene were investigated and the synthetic PAO was characterized...1-Decene was oligomerized over the supported AlCl3/γ-Al2O3 catalyst in a fixed-bed reactor. The effects of temperature and LHSV on oligomerization of 1-decene were investigated and the synthetic PAO was characterized with GC technique. Furthermore, the life of immobilized catalyst was tested and the mechanism of catalyst deactivation was discussed. The results showed that with an increasing temperature, the PAO yield increased and the kinematic viscosity of oil decreased. The GC results indicated that the synthesized PAO was a mixture consisting of dimers, trimers, tetramers and pentamers. The results of chloride content measurements and BET tests showed that catalyst deactivation could be mainly attributed to the loss of active components.展开更多
文摘目的基于术前血清IL-6、前列腺素E2(PGE2)、TNF-α构建预测膀胱癌术后复发的列线图模型。方法回顾性收集2018年6月至2023年2月临平区第一人民医院收治的348例膀胱癌患者的临床资料,经计算机产生随机数表并以2∶1比例将其分为训练集(232例)和验证集(116例)。所有患者均接受随访,将发生复发的患者纳入复发组,未发生复发的患者纳入未复发组。比较训练集复发组、未复发组血清IL-6、PGE2、TNF-α水平及一般资料;用Logistic回归模型分析训练集膀胱癌术后复发的影响因素,并建立回归方程;用ROC曲线分析术前IL-6、PGE2、TNF-α单独及联合预测膀胱癌术后复发的效能;建立膀胱癌术后复发的风险预测列线图模型,并验证其效能。结果与未复发组比较,复发组血清IL-6、PGE2、TNF-α水平升高,肿瘤直径增大,多发性肿瘤、肿瘤分期T 2~T 4、肿瘤WHO病理学分级Ⅱ~Ⅲ级的构成比升高,术后规律膀胱灌注的构成比降低(P<0.05)。Logistic回归分析显示,术前血清IL-6、PGE2、TNF-α、肿瘤分期、肿瘤WHO病理学分级是膀胱癌术后复发的影响因素(P<0.05),并建立Logistic回归方程:Y=1.718 X 1+2.081 X 2+1.815 X 3+2.319 X 4+1.868 X 5。ROC曲线显示,术前IL-6、PGE2、TNF-α预测膀胱癌术后复发的最佳截断点分别为0.60 ng/L、57.13 pg/mL、2.10 ng/mL,三者单独及联合预测膀胱癌的ROC曲线下面积(AUC ROC)分别为0.729、0.743、0.733和0.825。基于训练集Logistic回归分析结构建立膀胱癌术后复发的风险预测列线图模型,该模型预测训练集、验证集的敏感性分别为94.12%、90.20%,特异性分别为90.06%、87.29%,AUC ROC分别为0.940、0.914;Bootstrap法内部验证结果显示,训练集、验证集的C-index分别为0.918(95%CI:0.824~0.987)、0.901(95%CI:0.835~0.957)。结论术前血清IL-6、PGE2、TNF-α水平是膀胱癌术后复发的影响因素,据此建立的风险预测列线图模型具有良好的预测效能。
基金the SINOPEC Corporation for the financial support
文摘1-Decene was oligomerized over the supported AlCl3/γ-Al2O3 catalyst in a fixed-bed reactor. The effects of temperature and LHSV on oligomerization of 1-decene were investigated and the synthetic PAO was characterized with GC technique. Furthermore, the life of immobilized catalyst was tested and the mechanism of catalyst deactivation was discussed. The results showed that with an increasing temperature, the PAO yield increased and the kinematic viscosity of oil decreased. The GC results indicated that the synthesized PAO was a mixture consisting of dimers, trimers, tetramers and pentamers. The results of chloride content measurements and BET tests showed that catalyst deactivation could be mainly attributed to the loss of active components.
