The neurophysiological lesson from the Italian CIDP database

Area of Science:

• Neurology
• Clinical Neurophysiology

Background:

• Electrophysiological diagnosis of chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) presents significant challenges.
• A systematic analysis of electrophysiological data from 499 patients in the Italian CIDP Database was conducted to address these diagnostic difficulties.

Purpose of the Study:

• To provide practical guidance for the electrophysiological approach in suspected CIDP cases.
• To identify key electrophysiological features and nerve conductions that enhance diagnostic accuracy for CIDP subtypes.

Main Methods:

• Calculated the frequency of demyelinating features per nerve and diagnostic rates for upper and lower limb nerves.
• Utilized ROC curve analysis to determine the diagnostic accuracy of nerve pairs and demyelinating features.
• Compared electrophysiological data between definite/probable CIDP and possible/not-fulfilling CIDP patients using logistic regression analysis to estimate diagnostic odds ratios (OR).

Main Results:

• The ulnar nerve demonstrated the highest rate of demyelinating features and high diagnostic accuracy when tested bilaterally.
• Peroneal nerves were most informative for the DADS subtype.
• Patients with possible/not-fulfilling CIDP had fewer nerves tested and fewer proximal temporal dispersion (TD) measurements compared to definite/probable CIDP cases. The OR for motor nerve testing and TD measurements were 1.59 and 1.33, respectively.

Conclusions:

• Inadequate or incomplete electrophysiological examinations can lead to missed CIDP diagnoses.
• The study provides valuable data to inform a structured and effective electrophysiological approach for diagnosing suspected CIDP.
• Optimizing the selection of nerves and inclusion of proximal TD measurements can improve diagnostic yield.