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姿势描记法在诈病受试者检测中的评估

Evaluation of posturography in the detection of malingering subjects.

作者信息

Krempl G A, Dobie R A

机构信息

Department of Otolaryngology-Head and Neck Surgery, The University of Texas Health Science Center, San Antonio 78284-7777, USA.

出版信息

Am J Otol. 1998 Sep;19(5):619-27.

PMID:9752970
Abstract

OBJECTIVE

This study aimed to test the performance of proposed methods for detecting malingering subjects on computerized dynamic posturography using one subject group in three situations (normal, malingering, vestibular weakness).

STUDY DESIGN

The study design was a prospective, blinded study.

SETTING

The study was conducted at a university hospital.

PATIENTS

Volunteer subjects aged 20-59 years of age participated.

INTERVENTIONS

Computerized dynamic posturography was performed under three situations: best effort, faking vestibular weakness, and transient induced vestibular weakness with bilateral simultaneous caloric irrigation.

MAIN OUTCOME MEASURES

Measured was identification of situation (normal, malingering, induced vestibular weakness) by each of three detection methods: blinded clinical scoring, a set of formulae, and a set of variables (the latter two methods proposed previously by other investigators).

RESULTS

Each method performed well. In three-way discrimination, the formulae and clinical scoring each correctly identified approximately 75% of trials. In two-way discrimination (malingering vs. induced vestibular weakness), the best combination of variables slightly outperformed clinical scoring (0.93 vs. 0.88 ROC [receiver operating characteristic] curve area).

CONCLUSIONS

Computerized dynamic posturography can distinguish malingering in normal subjects from trials performed with best effort or after binaural simultaneous caloric irrigation. The accuracy of blinded clinical scoring was comparable to that of two objective detection methods.

摘要

目的

本研究旨在使用一个受试者组在三种情况下(正常、伪装、前庭功能减弱)测试所提出的计算机化动态姿势描记法检测伪装受试者的性能。

研究设计

研究设计为前瞻性、盲法研究。

研究地点

研究在一家大学医院进行。

患者

年龄在20 - 59岁之间的志愿者受试者参与。

干预措施

在三种情况下进行计算机化动态姿势描记法:尽力而为、伪装前庭功能减弱以及通过双侧同时冷热试验诱发短暂性前庭功能减弱。

主要观察指标

通过三种检测方法中的每一种来识别情况(正常、伪装、诱发的前庭功能减弱):盲法临床评分、一组公式以及一组变量(后两种方法先前由其他研究者提出)。

结果

每种方法表现良好。在三向辨别中,公式和临床评分各自正确识别了大约75%的试验。在双向辨别(伪装与诱发的前庭功能减弱)中,最佳变量组合略优于临床评分(受试者工作特征曲线面积分别为0.93对0.88)。

结论

计算机化动态姿势描记法可以将正常受试者中的伪装与尽力而为或双耳同时冷热试验后的试验区分开来。盲法临床评分的准确性与两种客观检测方法相当。

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