Distinguishing idiopathic Parkinson's disease from other parkinsonian syndromes by breath test

Abstract Introduction Diagnosis of different parkinsonian syndromes is linked with high misdiagnosis rates and various confounding factors. This is particularly problematic in its early stages. With this in mind, the current pilot study aimed to distinguish between Idiopathic Parkinson's Diseas...

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Bibliographic Details
Published in:	Parkinsonism & related disorders Vol. 21; no. 2; pp. 150 - 153
Main Authors:	Nakhleh, M.K, Badarny, S, Winer, R, Jeries, R, Finberg, J, Haick, H
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01-02-2015
Subjects:	Breath test Breath Tests - methods Exhalation - physiology Female Humans Male Nano-array Nanotechnology - methods Nanotechnology - standards Neurology Parkinson Disease - diagnosis Parkinson Disease - metabolism Parkinson's disease/parkinsonism Parkinsonian Disorders - diagnosis Parkinsonian Disorders - metabolism Pilot Projects Reproducibility of Results Volatile organic compounds Volatile organic compounds Breath test Nano-array Parkinson's disease/parkinsonism
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Summary:	Abstract Introduction Diagnosis of different parkinsonian syndromes is linked with high misdiagnosis rates and various confounding factors. This is particularly problematic in its early stages. With this in mind, the current pilot study aimed to distinguish between Idiopathic Parkinson's Disease (iPD), other Parkinsonian syndromes (non-iPD) and healthy subjects, by a breath test that analyzes the exhaled volatile organic compounds using a highly sensitive nanoarray. Methods Breath samples of 44 iPD, 16 non-iPD patients and 37 healthy controls were collected. The samples were passed over a nanoarray and the resulting electrical signals were analyzed with discriminant factor analysis as well as by a K-fold cross-validation method, to test the accuracy of the model. Results Comparison of non-iPD with iPD states yielded 88% sensitivity, 88% accuracy, and 88% Receiver Operating Characteristic area under the curve in the training set samples with known identity. The validation set of this comparison scored 81% sensitivity and accuracy and 92% negative predictive value. Comparison between atypical parkinsonism states and healthy subjects scored 94% sensitivity and 85% accuracy in the training set samples with known identity. The validation set of this comparison scored 81% sensitivity and 78% accuracy. The obtained results were not affected by l -Dopa or MAO-B inhibitor treatment. Conclusions Exhaled breath analysis with nanoarray is a promising approach for a non-invasive, inexpensive, and portable technique for differentiation between different Parkinsonian states. A larger cohort is required in order to establish the clinical usefulness of the method.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-News-1 ObjectType-Feature-3 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
ISSN:	1353-8020 1873-5126
DOI:	10.1016/j.parkreldis.2014.11.023