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A clinical pattern-based etiological diagnostic strategy for sensory neuronopathies: a French collaborative study
Jean-Philippe Camdessanché1, Guillemette Jousserand, Jérôme Franques
1Département de Neurologie, Centre de Référence Maladies Neuromusculaires Rares Rhône-Alpes, CHU de Saint-Etienne, France.
Journal of the Peripheral Nervous System : JPNS
|September 14, 2012
Summary
This study identifies four distinct patterns in sensory neuronopathies (SNNs) using clinical and electrophysiological data. These patterns aid in differentiating causes like paraneoplastic, toxic, infectious, inherited, and dysimmune SNNs.
Area of Science:
- Neurology
- Clinical Diagnostics
- Pathophysiology
Background:
- Sensory neuronopathies (SNNs) are a heterogeneous group of disorders with diverse etiologies.
- Existing diagnostic criteria differentiate SNNs from other sensory neuropathies, but a validated strategy for etiological diagnosis using routine investigations is lacking.
Purpose of the Study:
- To develop and validate a diagnostic strategy for identifying the causes of sensory neuronopathies (SNNs) based on clinical and electrophysiological characteristics.
- To differentiate between paraneoplastic, infectious, dysimmune, toxic, inherited, and idiopathic forms of SNNs.
Main Methods:
- A multicenter study analyzed clinical, biological, and electrophysiological data from 148 patients with SNN.
- Multiple correspondence analysis and logistic regression were employed to identify differentiating patterns.
- Models were developed using an 88-patient cohort and validated on a separate 60-patient cohort.
Main Results:
- Four distinct patterns of SNN were identified.
- Pattern A characterized acute/subacute onset SNN with pain, predominantly in older males, linked to paraneoplastic, toxic, and infectious causes.
- Patterns B, C, and D differentiated progressive SNNs, distinguishing inherited/idiopathic forms with ataxia from idiopathic/dysimmune/paraneoplastic forms with varying progression rates.
Conclusions:
- The developed diagnostic strategy, based on identified clinical and electrophysiological patterns, demonstrated high accuracy in etiological diagnosis of SNNs.
- This approach offers a validated method for routine clinical investigation to determine the cause of sensory neuronopathies.
