期刊
JOURNAL OF NEUROLOGY
卷 269, 期 9, 页码 5114-5126出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s00415-022-11168-x
关键词
Idiopathic normal pressure hydrocephalus; CSF tap test; Multimodal MRI; Reversible dementia; Prediction
资金
- Swiss National Science Foundation (SNSF) [320030_173153]
- Geneva University Hospitals (PRD) [8-2019-II]
- CIBM Center for Biomedical Imaging
- Swiss research center of excellence
- Lausanne University Hospital (CHUV)
- University of Lausanne (UNIL)
- Ecole Polytechnique Federale de Lausanne (EPFL)
- University of Geneva (UNIGE)
- Geneva University Hospitals (HUG)
This study aimed to assess whether gait, neuropsychological, and multimodal MRI parameters can predict short-term symptom reversal after cerebrospinal fluid tap test in patients with idiopathic normal pressure hydrocephalus (iNPH). The results showed that none of the individual parameters could predict the outcome, but a multivariable approach achieved modest prediction accuracy and could be included in patient-screening procedures. Further exploration of their value in predicting shunting outcome, particularly in relation to gait and white-matter parameters, is needed.
Objective 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). Methods 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. Results 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. Conclusions 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.
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