| 任春利,胡乾配,罗华.ChE、cTnI和FIB水平对急性Ⅱ型呼吸衰竭患者预后的影响.[J].中南医学科学杂志.,2022,(4):554-556. |
| ChE、cTnI和FIB水平对急性Ⅱ型呼吸衰竭患者预后的影响 |
| Effect of the changes of ChE, cTnI and FIB levels on the prognosis of patients with acute type Ⅱ respiratory failure |
| 投稿时间：2021-12-28 修订日期：2022-02-07 |
| DOI：10.15972/j.cnki.43-1509/r.2022.04.022 |
| 中文关键词: Ⅱ型呼吸衰竭 胆碱酯酶 肌钙蛋白Ⅰ 纤维蛋白原 |
| 英文关键词:type Ⅱ respiratory failure cholinesterase troponin I fibrinogen |
| 基金项目:重庆市技术创新与应用发展专项重点项目(cstc2019jscx-gksbX0064) 作者简介:任春利,硕士,住院医师,研究方向为呼吸道慢性疾病和呼吸急危重症诊治,E-mail为renchunli2021@163.com。通信作者罗华,硕士,主治医师,研究方向为肺间质疾病与呼吸急危重症诊治,E-mail为8811421@qq.com。 |
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| 中文摘要: |
| 目的观察胆碱酯酶(ChE)、心肌肌钙蛋白Ⅰ(cTnI)和纤维蛋白原(FIB)水平对急性重度Ⅱ型呼吸衰竭患者预后的影响。方法根据患者预后转归情况,将80例急性重度Ⅱ型呼吸衰竭患者分为死亡组33例和生存组47例。比较两组ChE、cTnI和FIB水平,绘制ROC曲线评估其对Ⅱ型呼吸衰竭预后的预测价值。结果死亡组ChE水平低于生存组,cTnI和FIB水平高于生存组(P＜0.05)。ROC曲线结果显示,ChE、cTnI和FIB的曲下面积均高于0.7(P＜0.05),其最佳截断值分别为0.336 kU/L、0.675 μg/L和3.345 g/L。结论ChE、cTnI和FIB3在Ⅱ型呼吸衰竭患者血清中水平的变化能预测急性重度Ⅱ型呼吸衰竭患者的预后结局。 |
| 英文摘要: |
| To observe the effect of the changes of cholinesterase (ChE), cardiac troponin I (cTnI) and fibrinogen (FIB) levels on the prognosis of patients with acute severe type Ⅱ respiratory failure. MethodsAccording to the prognosis of patients, 80 patients with acute severe type Ⅱ respiratory failure were divided into death group (n＝33) and survival group (n＝47). The expression levels of ChE, cTnI and FIB were compared between the two groups. The predictive value of those indicators on the prognosis of type Ⅱ respiratory failure was evaluated by drawing ROC curve. ResultsUnivariate analysis showed that ChE expression level in the death group was lower than that in the survival group, and cTnI and FIB expression levels in the death group were higher than that in the survival group(P＜0.05). ROC curve results showed that the area under the curve of ChE, cTnI and FIB were all higher than 0.7(P＜0.05), and the optimal cut-off values were 0.336 kU/L, 0.675 μg/L and 3.345 g/L. ConclusionThe changes of ChE, cTnI and FIB3 expression levels in serum of patients with type Ⅱ respiratory failure can predict the prognosis of patients with acute and severe type Ⅱ respiratory failure. |
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