Prediction of outcome following paraquat poisoning by arterial lactate concentration-time data.

Prediction of outcome following paraquat poisoning by arterial lactate concentration-time data.
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通过动脉乳酸浓度-时间数据预测百草枯中毒后的结果。

DOI:
10.3892/etm.2014.1773
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发表时间:
2014-08
影响因子:
2.7
通讯作者:
Wei LQ
Wei LQ
中科院分区:
医学4区
文献类型:
--
作者:
Sun L;Li GQ;Yan PB;Liu Y;Li GF;Wei LQ

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本研究回顾性分析了170例诊断为百草枯(PQ)中毒的患者,旨在阐明动脉乳酸时间(动脉乳酸浓度×摄入和动脉乳酸测量之间的时间)是否是急性PQ中毒患者死亡率的良好预测因子。结果表明,动脉乳酸盐-时间与PQ浓度-时间呈正相关(ρ=0.485)。此外,动脉乳酸盐-时间数据显示出与血浆PQ浓度-时间数据相似的区分能力(z=0.712; P=0.864)。对于受试者工作特征曲线分析,乳酸-时间数据的面积为0.782,临界值为11.95 mmol/l. h(敏感性,64.52%;特异性,84.42%)。为了计算任何指定时间和初始动脉乳酸盐浓度的预测生存概率,根据logistic回归系数推导出以下公式:Logit(p)= 3.066 − 0.139 ×(PQ摄入后的时滞)− 0.177 ×(初始动脉乳酸盐浓度);其中生存概率= 1/1 + e−logit(p)。因此,动脉乳酸时间数据显示出良好的预测能力,评估急性PQ中毒患者的预后。
The present study retrospectively analyzed 170 patients diagnosed with paraquat (PQ) poisoning with the aim of clarifying whether the arterial lactate-time (arterial lactate concentration × time between ingestion and arterial lactate measurement) was a good predictor of mortality in patients with acute PQ poisoning. The results indicated that there was a positive correlation between the arterial lactate-time and PQ concentration-time (ρ=0.485). In addition, the arterial lactate-time data exhibited a similar discriminative power to the plasma PQ concentration-time data (z=0.712; P=0.864). For the receiver operating characteristic curve analysis, the lactate-time data had an area of 0.782 with a cut-off value of 11.95 mmol/l.h (sensitivity, 64.52%; specificity, 84.42%). To calculate the predicted probability of survival for any specified time and initial arterial lactate concentration, the following formula was derived based on the logistic regression coefficients: Logit(p) = 3.066 − 0.139 × (time lag following PQ ingestion) − 0.177 × (initial arterial lactate concentration); where the probability of survivors = 1/1 + e−logit(p). Therefore, the arterial lactate-time data exhibited a good predictive power for evaluating the prognosis of patients with acute PQ poisoning.
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