目的 分析血清果蝇母性DPP同源物(serum small mother against decapentaplegic,Smad)2、Smad3与冠状动脉粥样硬化性心脏病(冠心病)患者心脏猝死的相关性。方法 选取2018年3月至2020年6月无锡市人民医院收治的住院接受治疗的冠心病患者...目的 分析血清果蝇母性DPP同源物(serum small mother against decapentaplegic,Smad)2、Smad3与冠状动脉粥样硬化性心脏病(冠心病)患者心脏猝死的相关性。方法 选取2018年3月至2020年6月无锡市人民医院收治的住院接受治疗的冠心病患者134例为研究对象,随访1年,根据冠心病患者有无发生心脏猝死分为猝死组(21例)和未猝死组(113例)。采用酶联免疫吸附试验(ELISA)法检测患者血清中Smad2、Smad3浓度。采用动态心电图仪详细记录患者QT间期、PR间期、QRS波持续时间。采用受试者工作特征曲线(receiver operating characteristic curve,ROC)评价QRS波持续时间联合Smad2、Smad3对冠心病患者心脏猝死的诊断价值。应用二元Logistic回归分析对影响冠心病患者心脏猝死的危险因素进行分析。结果 与未猝死组相比,猝死组患者QRS波持续时间[(116.74±14.58)ms vs.(88.42±10.67)ms]、血清Smad2[(286.42±38.71)μg/L vs.(164.93±22.28)μg/L]、Smad3[(335.18±50.06)μg/L vs.(190.25±29.72)μg/L]浓度较高,差异有统计学意义(P<0.05)。ROC分析显示,QRS波持续时间、血清Smad2和Smad3浓度诊断冠心病患者心脏猝死的曲线下面积(area under the curve,AUC)分别为0.742、0.825、0.842;QRS波持续时间联合Smad2、Smad3诊断冠心病患者心脏猝死的AUC为0.893,其敏感度、特异度分别为81.00%、93.80%。QRS波持续时间、Smad2、Smad3是冠心病患者心脏猝死危险因素(P<0.05)。结论 动态心电图联合血清Smad2、Smad3浓度检测对预测冠心病患者心脏猝死有一定价值。展开更多
Numerical simulation modeling is a hotspot in the geological engineering computing field. Tak- ing a fast Langrangian analysis of continua in 3 dimensions （FLAC3D） numerical modeling on com- puting the geo-deformati...Numerical simulation modeling is a hotspot in the geological engineering computing field. Tak- ing a fast Langrangian analysis of continua in 3 dimensions （FLAC3D） numerical modeling on com- puting the geo-deformation information caused by the mining subsidence in a coalmine for example, a new GIS-Excel modeling method is proposed to build geologic strata within the simulation range combined with the coal-seam dip angle of the underground mining working-planes. First of all, the coal-seam model of the numerical computing is built by using the geographic information system （GIS） according to the stripe-through principle and the calculating formula on the size of the model blocks in the paper defined, then the FLAC3D numerical computing model of all geologic strata with- in the simulation range is also built based on the calculating formula of thickness of each stratum and the Excel fast computing advantages. The GIS-Excel method is good at the higher modeling accuracy, seldom making mistakes and consuming less time. The reliability and validity of the method is veri- fied well by its practical applications in the coalmine area.展开更多
文摘目的 分析血清果蝇母性DPP同源物(serum small mother against decapentaplegic,Smad)2、Smad3与冠状动脉粥样硬化性心脏病(冠心病)患者心脏猝死的相关性。方法 选取2018年3月至2020年6月无锡市人民医院收治的住院接受治疗的冠心病患者134例为研究对象,随访1年,根据冠心病患者有无发生心脏猝死分为猝死组(21例)和未猝死组(113例)。采用酶联免疫吸附试验(ELISA)法检测患者血清中Smad2、Smad3浓度。采用动态心电图仪详细记录患者QT间期、PR间期、QRS波持续时间。采用受试者工作特征曲线(receiver operating characteristic curve,ROC)评价QRS波持续时间联合Smad2、Smad3对冠心病患者心脏猝死的诊断价值。应用二元Logistic回归分析对影响冠心病患者心脏猝死的危险因素进行分析。结果 与未猝死组相比,猝死组患者QRS波持续时间[(116.74±14.58)ms vs.(88.42±10.67)ms]、血清Smad2[(286.42±38.71)μg/L vs.(164.93±22.28)μg/L]、Smad3[(335.18±50.06)μg/L vs.(190.25±29.72)μg/L]浓度较高,差异有统计学意义(P<0.05)。ROC分析显示,QRS波持续时间、血清Smad2和Smad3浓度诊断冠心病患者心脏猝死的曲线下面积(area under the curve,AUC)分别为0.742、0.825、0.842;QRS波持续时间联合Smad2、Smad3诊断冠心病患者心脏猝死的AUC为0.893,其敏感度、特异度分别为81.00%、93.80%。QRS波持续时间、Smad2、Smad3是冠心病患者心脏猝死危险因素(P<0.05)。结论 动态心电图联合血清Smad2、Smad3浓度检测对预测冠心病患者心脏猝死有一定价值。
基金Supported by the National Natural Science Foundation of China(No.41271436)
文摘Numerical simulation modeling is a hotspot in the geological engineering computing field. Tak- ing a fast Langrangian analysis of continua in 3 dimensions （FLAC3D） numerical modeling on com- puting the geo-deformation information caused by the mining subsidence in a coalmine for example, a new GIS-Excel modeling method is proposed to build geologic strata within the simulation range combined with the coal-seam dip angle of the underground mining working-planes. First of all, the coal-seam model of the numerical computing is built by using the geographic information system （GIS） according to the stripe-through principle and the calculating formula on the size of the model blocks in the paper defined, then the FLAC3D numerical computing model of all geologic strata with- in the simulation range is also built based on the calculating formula of thickness of each stratum and the Excel fast computing advantages. The GIS-Excel method is good at the higher modeling accuracy, seldom making mistakes and consuming less time. The reliability and validity of the method is veri- fied well by its practical applications in the coalmine area.
