CSF tap test in idiopathic normal pressure hydrocephalus: still a necessary prognostic test?

CSF tap test Idiopathic normal pressure hydrocephalus Multimodal MRI Prediction Reversible dementia

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 09 02 2022
accepted: 01 05 2022
revised: 29 04 2022
pubmed: 23 5 2022
medline: 12 8 2022
entrez: 22 5 2022
Statut: ppublish

Résumé

To assess whether gait, neuropsychological, and multimodal MRI parameters predict short-term symptom reversal after cerebrospinal fluid (CSF) tap test in idiopathic normal pressure hydrocephalus (iNPH). Thirty patients (79.3 ± 5.9 years, 12 women) with a diagnosis of probable iNPH and 46 healthy controls (74.7 ± 5.4 years, 35 women) underwent comprehensive neuropsychological, quantitative gait, and multimodal MRI assessments of brain morphology, periventricular white-matter microstructure, cortical and subcortical blood perfusion, default mode network function, and white-matter lesion load. Responders were defined as an improvement of at least 10% in walking speed or timed up and go test 24 h after tap test. Univariate and multivariable tap test outcome prediction models were evaluated with logistic regression and linear support vector machine classification. Sixteen patients (53%) respondedpositively to tap test. None of the gait, neuropsychological, or neuroimaging parameters considered separately predicted outcome. A multivariable classifier achieved modest out-of-sample outcome prediction accuracy of 70% (p = .028); gait parameters, white-matter lesion load and periventricular microstructure were the main contributors. Our negative findings show that short-term symptom reversal after tap test cannot be predicted from single gait, neuropsychological, or MRI parameters, thus supporting the use of tap test as prognostic procedure. However, multivariable approaches integrating non-invasive multimodal data are informative of outcome and may be included in patient-screening procedures. Their value in predicting shunting outcome should be further explored, particularly in relation to gait and white-matter parameters.

Identifiants

pubmed: 35598251
doi: 10.1007/s00415-022-11168-x
pii: 10.1007/s00415-022-11168-x
pmc: PMC9363476
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5114-5126

Subventions

Organisme : Hôpitaux Universitaires de Genève
ID : PRD-8-2019-II
Organisme : Swiss National Science Foundation
ID : 320030_173153
Pays : Switzerland

Informations de copyright

© 2022. The Author(s).

Références

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Auteurs

Alessandra Griffa (A)

Department of Radiology and Medical Informatics, University of Geneva, Campus Biotech-H4 3 232.080 (H4 building), Chemin des Mines 9, Case postale 60, CH-1211, Geneva, Switzerland. alessandra.griffa@gmail.com.
Institute of Bioengineering, Center of Neuroprosthetics, Ecole Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland. alessandra.griffa@gmail.com.
Leenaards Memory Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. alessandra.griffa@gmail.com.

Giulia Bommarito (G)

Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Frédéric Assal (F)

Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Maria Giulia Preti (MG)

Department of Radiology and Medical Informatics, University of Geneva, Campus Biotech-H4 3 232.080 (H4 building), Chemin des Mines 9, Case postale 60, CH-1211, Geneva, Switzerland.
Institute of Bioengineering, Center of Neuroprosthetics, Ecole Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.
CIBM Center for Biomedical Imaging, Geneva, Switzerland.

Rachel Goldstein (R)

Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Stéphane Armand (S)

Kinesiology Laboratory, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

François R Herrmann (FR)

Department of Rehabilitation and Geriatrics, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Dimitri Van De Ville (D)

Department of Radiology and Medical Informatics, University of Geneva, Campus Biotech-H4 3 232.080 (H4 building), Chemin des Mines 9, Case postale 60, CH-1211, Geneva, Switzerland.
Institute of Bioengineering, Center of Neuroprosthetics, Ecole Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.

Gilles Allali (G)

Leenaards Memory Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Department of Neurology, Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.

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