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急性呼吸窘迫综合征压力-容积曲线的客观分析

An objective analysis of the pressure-volume curve in the acute respiratory distress syndrome.

作者信息

Harris R S, Hess D R, Venegas J G

机构信息

Pulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA.

出版信息

Am J Respir Crit Care Med. 2000 Feb;161(2 Pt 1):432-9. doi: 10.1164/ajrccm.161.2.9901061.

Abstract

To assess the interobserver and intraobserver variability in the clinical evaluation of the quasi-static pressure-volume (P-V) curve, we analyzed 24 sets of inflation and deflation P-V curves obtained from patients with ARDS. We used a recently described sigmoidal equation to curve-fit the P-V data sets and objectively define the point of maximum compliance increase of the inflation limb (P(mci, i)) and the true inflection point of the deflation limb (P(inf,d)). These points were compared with graphic determinations of lower Pflex by seven clinicians. The graphic and curve-fitting methods were also compared for their ability to reproduce the same parameter value in data sets with reduced number of data points. The sigmoidal equation fit the P-V data with great accuracy (R(2) = 0.9992). The average of Pflex determinations was found to be correlated with P(mci,i) (R = 0.89) and P(inf,d) (R = 0.76). Individual determinations of Pflex were less correlated with the corresponding objective parameters (R = 0.67 and 0.62, respectively). Pflex + 2 cm H(2)O was a more accurate estimator of P(inf,d) (2 SD = +/-6.05 cm H(2)O) than Pflex was of P(mci,i) (2 SD = +/-8.02 cm H(2)O). There was significant interobserver variability in Pflex, with a maximum difference of 11 cm H(2)O for the same patient (SD = 1.9 cm H(2)O). Clinicians had difficulty reproducing Pflex in smaller data sets with differences as great as 17 cm H(2)O (SD = 2.8 cm H(2)O). In contrast, the curve-fitting method reproduced P(mci,i) with great accuracy in reduced data sets (maximum difference of 1.5 cm H(2)O and SD = 0.3 cm H(2)O). We conclude that Pflex rarely coincided with the point of maximum compliance increase defined by a sigmoid curve-fit with large differences in Pflex seen both among and within observers. Calculating objective parameters such as P(mci,i) or P(inf,d) from curve-fitted P-V data can minimize this large variability.

摘要

为评估准静态压力-容积(P-V)曲线临床评估中的观察者间和观察者内变异性,我们分析了从急性呼吸窘迫综合征(ARDS)患者获得的24组充气和放气P-V曲线。我们使用最近描述的S形方程对P-V数据集进行曲线拟合,并客观地定义充气支最大顺应性增加点(P(mci,i))和放气支的真正拐点(P(inf,d))。将这些点与7位临床医生通过图形确定的较低Pflex进行比较。还比较了图形法和曲线拟合法在数据点数量减少的数据集中重现相同参数值的能力。S形方程对P-V数据的拟合精度很高(R(2)=0.9992)。发现Pflex测定的平均值与P(mci,i)(R=0.89)和P(inf,d)(R=0.76)相关。Pflex的个体测定与相应的客观参数相关性较低(分别为R=0.67和0.62)。Pflex + 2 cm H(2)O比Pflex对P(inf,d)(2 SD = +/-6.05 cm H(2)O)是更准确的估计值,而Pflex对P(mci,i)(2 SD = +/-8.02 cm H(2)O)。Pflex存在显著的观察者间变异性,同一患者的最大差异为11 cm H(2)O(SD = 1.9 cm H(2)O)。临床医生在较小的数据集中重现Pflex存在困难,差异高达17 cm H(2)O(SD = 2.8 cm H(2)O)。相比之下,曲线拟合法在减少的数据集中能非常准确地重现P(mci,i)(最大差异为1.5 cm H(2)O,SD = 0.3 cm H(2)O)。我们得出结论,Pflex很少与S形曲线拟合定义的最大顺应性增加点重合,观察者之间和观察者内部的Pflex都存在很大差异。从曲线拟合的P-V数据计算诸如P(mci,i)或P(inf,d)等客观参数可以最大限度地减少这种大的变异性。

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