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评估羊水荧光偏振和卵磷脂/鞘磷脂比率的判定标准。

Amniotic fluid polarization of fluorescence and lecithin/sphingomyelin ratio decision criteria assessed.

作者信息

Bernstein L H, Stiller R, Menzies C, McKenzie M, Rundell C

机构信息

Department of Pathology and Laboratory Medicine, Bridgeport Hospital, CT 06610, USA.

出版信息

Yale J Biol Med. 1995 May-Aug;68(3-4):101-17.

Abstract

A negative finding of amniotic fluid (AF) phosphatidyl glycerol (PG) does not eliminate the need for determining the lecithin/sphingomyelin ratio (LSR). We use a novel approach to classify fetal lung maturity (FLM) data, and to validate the fluorescence polarization (FP) surfactant assay (Abbott), which replaces the PG assay and reduces the frequency of repeat LSR. This method finds the values (decision points) of these tests that allow for classifying the data with least errors. These tests best identify the risk of respiratory distress syndrome (RDS) from fetal lung immaturity. We find the decision values for tests by exploring the data for information content and optimize their selection using group-based reference. We previously defined normal reference as the maximum entropy set with no information. The uncertainty resolved by information provided in the data allows formation of syndromic classes. This is greatest at the values for the variables (decision-points) associated with the greatest decrease in entropy. Decision-values found for PF, EGA, PG, LSR that classify amniotic fluids into the mature and not-mature classes are in agreement with the results of ROC analysis. We validate the replacement of PG by the PF method. We also find a level of FP below which LSR might be required to resolve uncertainty and above which the FP indicates maturity. We confirm the ability to evaluate fetal maturity methods using information analysis.

摘要

羊水(AF)中磷脂酰甘油(PG)检测结果为阴性并不能排除测定卵磷脂/鞘磷脂比值(LSR)的必要性。我们采用一种新方法对胎儿肺成熟度(FLM)数据进行分类,并验证荧光偏振(FP)表面活性剂检测法(雅培公司),该方法取代了PG检测法并减少了重复LSR检测的频率。此方法找出这些检测的数值(决策点),以便以最少误差对数据进行分类。这些检测能最好地识别因胎儿肺不成熟导致的呼吸窘迫综合征(RDS)风险。我们通过探索数据中的信息含量来找出检测的决策值,并使用基于组的参考标准优化其选择。我们之前将正常参考定义为无信息的最大熵集。数据中提供的信息所解决的不确定性允许形成综合征类别。这在与熵最大降低相关的变量值(决策点)处最为显著。为将羊水分为成熟和未成熟类别而找到的PF、EGA、PG、LSR的决策值与ROC分析结果一致。我们验证了用PF方法替代PG的可行性。我们还发现了一个FP水平,低于该水平可能需要LSR来解决不确定性,高于该水平则FP表明成熟。我们证实了使用信息分析评估胎儿成熟度方法的能力。

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