Survivors of sepsis may suffer chronic cognitive impairment as a long-term sequela. However, the precise mechanisms of cognitive dys- function after sepsis are not well understood. We employed the cecal ligation-and-p...Survivors of sepsis may suffer chronic cognitive impairment as a long-term sequela. However, the precise mechanisms of cognitive dys- function after sepsis are not well understood. We employed the cecal ligation-and-puncture-induced septic mouse model. We observed elevated phosphorylation of Akt, mammalian target of rapamycin （roTOR） and p70S6K on days 14 and 60, progressive neuronal loss in the cornu ammonis 1 region, and abnormal neuronal morphology in the hippocampus in the sepsis mouse model, These findings indicate that changes in neuronal morphology and number in the hippocampus after sepsis were associated with strong activation of the Akt/mTOR sig- naling pathway, and may reflect a ＂self-rescuing＂ feedback response to neuronal loss after sepsis.展开更多
目的本研究旨在探讨人工神经网络在左心室肥厚(LVH)筛查中的应用价值。方法共纳入健康体检者486例,将既往病史、心电图参数等11项指标作为预测因素,建立训练集和测试集,以超声心动图结果作为结局指标,建立人工神经网络模型。同时应用相...目的本研究旨在探讨人工神经网络在左心室肥厚(LVH)筛查中的应用价值。方法共纳入健康体检者486例,将既往病史、心电图参数等11项指标作为预测因素,建立训练集和测试集,以超声心动图结果作为结局指标,建立人工神经网络模型。同时应用相应的预测因素,建立logistic回归模型,比较两个模型间的筛查诊断价值。结果人工神经网络模型预测LVH的灵敏度和特异度均高于logistic回归(LR)模型(灵敏度93%vs 89%,特异度91%vs 74%),人工神经网络ROC AUC大于log is tic回归模型[0.964,95%CI:0.921～1.000 vs 0.889,95%CI:0.831～0.948,Z=2.016,P<0.05]。结论在预测LVH上,人工神经网络模型优于logistic回归模型。展开更多
基金supported by the National Natural Science Foundation of China,No.81301659,81401077
文摘Survivors of sepsis may suffer chronic cognitive impairment as a long-term sequela. However, the precise mechanisms of cognitive dys- function after sepsis are not well understood. We employed the cecal ligation-and-puncture-induced septic mouse model. We observed elevated phosphorylation of Akt, mammalian target of rapamycin （roTOR） and p70S6K on days 14 and 60, progressive neuronal loss in the cornu ammonis 1 region, and abnormal neuronal morphology in the hippocampus in the sepsis mouse model, These findings indicate that changes in neuronal morphology and number in the hippocampus after sepsis were associated with strong activation of the Akt/mTOR sig- naling pathway, and may reflect a ＂self-rescuing＂ feedback response to neuronal loss after sepsis.
文摘目的本研究旨在探讨人工神经网络在左心室肥厚(LVH)筛查中的应用价值。方法共纳入健康体检者486例,将既往病史、心电图参数等11项指标作为预测因素,建立训练集和测试集,以超声心动图结果作为结局指标,建立人工神经网络模型。同时应用相应的预测因素,建立logistic回归模型,比较两个模型间的筛查诊断价值。结果人工神经网络模型预测LVH的灵敏度和特异度均高于logistic回归(LR)模型(灵敏度93%vs 89%,特异度91%vs 74%),人工神经网络ROC AUC大于log is tic回归模型[0.964,95%CI:0.921～1.000 vs 0.889,95%CI:0.831～0.948,Z=2.016,P<0.05]。结论在预测LVH上,人工神经网络模型优于logistic回归模型。
