目的严重多发伤患者病死率高,有效评估预后对其临床救治具有重要意义。文中旨在探讨早期酸碱变量指标与严重多发伤患者临床预后的关系。方法回顾性分析2018年10月至2020年2月东部战区总医院急诊医学科收治的81例严重多发伤患者的临床资...目的严重多发伤患者病死率高,有效评估预后对其临床救治具有重要意义。文中旨在探讨早期酸碱变量指标与严重多发伤患者临床预后的关系。方法回顾性分析2018年10月至2020年2月东部战区总医院急诊医学科收治的81例严重多发伤患者的临床资料。根据住院期间的预后情况分为生存组(n=44)和死亡组(n=37),统计分析其临床资料及基本情况,并评估酸碱变量指标[急性生理与慢性健康评分系统Ⅱ评分(APACHE)、序贯器官衰竭评分(SOFA)、强离子隙水平(SIG)]对严重多发伤患者死亡的预测性能。结果死亡组SIG水平和APACHEⅡ评分[(5.00±2.38)mEq/L、(19.71±3.99)分]较生存组[(3.14±1.83)mEq/L、(15.29±5.28)分]明显增高(P<0.05)。SIG水平与APACHEⅡ评分呈显著正相关(r=0.907,P<0.05)。SIG和APACHEII评分对死亡预后判断的曲线下面积相当(0.823 vs 0.824),均高于年龄和阴离子间隙,SIG的最佳截断值是7.78 mEq/L。结论 SIG水平和APACHEⅡ评分可作为严重多发伤患者的病情预测指标,SIG的水平越高,病情越重,对严重多发伤患者及早监测SIG水平对评估病情有一定参考价值。展开更多
Up-regulation of the IL-1-IL-6 network stimulates systemic expression of C-reactive protein (CRP). This cytokine network system plays a pivotal role in inducing angiogenic growth factors in intestinal mucosa. Serum CR...Up-regulation of the IL-1-IL-6 network stimulates systemic expression of C-reactive protein (CRP). This cytokine network system plays a pivotal role in inducing angiogenic growth factors in intestinal mucosa. Serum CRP level and tissue concentrations of cytokines in colorectal cancer patients were determined and an in vitro model was employed to determine the time course of induction of IL-6 in Caco-2 cells. Increased serum CRP was associated with recurrent disease and shorter survival time. Intense surgical stress and the presence of an acute phase reactant were independently associated with overexpression of IL-6 in the tumor. Enhanced IL-6 protein expression in Caco-2 cells induced by the initial treatment with IL-1β or lipopolysaccharide could be abrogated by additional presupplementation of IL-1ra. The presence of an acute phase reactant reflects uncontrolled up-regulation of the local IL-1-IL-6 network system in the tumor, which may enhance the survival and proliferation of remnant cancer cells after tumor resection.展开更多
为了实现利用较少的工程信息,快速准确的估计出工程项目的造价,提出了一种基于Adaboost-VIP的工程造价估计方法。首先采用变量投影重要性指标(variable importance in projection,VIP)法对影响工程造价的多个因素进行特征提取,然后利用...为了实现利用较少的工程信息,快速准确的估计出工程项目的造价,提出了一种基于Adaboost-VIP的工程造价估计方法。首先采用变量投影重要性指标(variable importance in projection,VIP)法对影响工程造价的多个因素进行特征提取,然后利用最小二乘支持向量机作为非线性逼近器,建立工程造价的估计模型。为了进一步提高模型的估计精度,将自适应提升算法(Adaboost)与VIP相结合,利用Adaboost将多个弱造价估计模型进行集成,得到强造价估计模型。同时将该方法应用到建筑案例中,结果表明:VIP方法能有效地对影响因素进行筛选,简化模型结构;Adaboost-VIP模型与单一的工程造价估计模型相比,具有更高的估计性能。展开更多
文摘目的严重多发伤患者病死率高,有效评估预后对其临床救治具有重要意义。文中旨在探讨早期酸碱变量指标与严重多发伤患者临床预后的关系。方法回顾性分析2018年10月至2020年2月东部战区总医院急诊医学科收治的81例严重多发伤患者的临床资料。根据住院期间的预后情况分为生存组(n=44)和死亡组(n=37),统计分析其临床资料及基本情况,并评估酸碱变量指标[急性生理与慢性健康评分系统Ⅱ评分(APACHE)、序贯器官衰竭评分(SOFA)、强离子隙水平(SIG)]对严重多发伤患者死亡的预测性能。结果死亡组SIG水平和APACHEⅡ评分[(5.00±2.38)mEq/L、(19.71±3.99)分]较生存组[(3.14±1.83)mEq/L、(15.29±5.28)分]明显增高(P<0.05)。SIG水平与APACHEⅡ评分呈显著正相关(r=0.907,P<0.05)。SIG和APACHEII评分对死亡预后判断的曲线下面积相当(0.823 vs 0.824),均高于年龄和阴离子间隙,SIG的最佳截断值是7.78 mEq/L。结论 SIG水平和APACHEⅡ评分可作为严重多发伤患者的病情预测指标,SIG的水平越高,病情越重,对严重多发伤患者及早监测SIG水平对评估病情有一定参考价值。
文摘Up-regulation of the IL-1-IL-6 network stimulates systemic expression of C-reactive protein (CRP). This cytokine network system plays a pivotal role in inducing angiogenic growth factors in intestinal mucosa. Serum CRP level and tissue concentrations of cytokines in colorectal cancer patients were determined and an in vitro model was employed to determine the time course of induction of IL-6 in Caco-2 cells. Increased serum CRP was associated with recurrent disease and shorter survival time. Intense surgical stress and the presence of an acute phase reactant were independently associated with overexpression of IL-6 in the tumor. Enhanced IL-6 protein expression in Caco-2 cells induced by the initial treatment with IL-1β or lipopolysaccharide could be abrogated by additional presupplementation of IL-1ra. The presence of an acute phase reactant reflects uncontrolled up-regulation of the local IL-1-IL-6 network system in the tumor, which may enhance the survival and proliferation of remnant cancer cells after tumor resection.
文摘为了实现利用较少的工程信息,快速准确的估计出工程项目的造价,提出了一种基于Adaboost-VIP的工程造价估计方法。首先采用变量投影重要性指标(variable importance in projection,VIP)法对影响工程造价的多个因素进行特征提取,然后利用最小二乘支持向量机作为非线性逼近器,建立工程造价的估计模型。为了进一步提高模型的估计精度,将自适应提升算法(Adaboost)与VIP相结合,利用Adaboost将多个弱造价估计模型进行集成,得到强造价估计模型。同时将该方法应用到建筑案例中,结果表明:VIP方法能有效地对影响因素进行筛选,简化模型结构;Adaboost-VIP模型与单一的工程造价估计模型相比,具有更高的估计性能。
