Peripheral neuropathy in Krabbe disease
Electrodiagnostic findings
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Abstract
Background: Krabbe disease (KD) is associated with marked central and peripheral demyelination and nerve conduction studies (NCS) typically show a mixed sensorimotor demyelinating peripheral neuropathy (PN).
Objectives: To further characterize the PN in a large cohort of patients with KD and to assess the diagnostic sensitivity of NCS in this condition.
Methods: The authors report the results of electrodiagnostic studies performed in 27 children with KD, ranging in age from 1 day to 8 years, whose diagnosis was confirmed by leukocyte lysosomal enzyme analysis.
Results: Based on age-adjusted normative values, 25 of 27 patients had abnormal NCS (sensitivity > 90%) when at least one motor and one sensory nerve were tested in a lower and an upper extremity. Of the 24 patients with the early infantile form of the disease, 23 had abnormal NCS (sensitivity > 95%). Abnormal sural sensory responses (SNR) (82%), F-wave latencies (FWL) (85%), motor conduction velocities (CV) (82%), and distal motor latencies (DL) (76%) were the most sensitive indices. In the lower extremities the sensitivity of motor CV, FWL, and motor DL was 79%, 79%, and 57%, respectively, while in the upper limbs the corresponding sensitivities were 80%, 87%, and 73%. No conduction block was detected and there was uniform slowing of CV. SNR was unobtainable or abnormal in 82% of patients. The compound muscle action potential amplitudes were within normal limits in >70% of lower limb and >45% of upper limb responses. Marked NCS abnormalities were found in a 1-day-old and two 3-week-old neonates, the youngest patients reported to date. NCS were abnormal in 5/9 children with normal EEG or evoked potentials. The severity of the demyelination on NCS correlated well with the clinical severity of the disease.
Conclusions: Peripheral neuropathy occurs very early in Krabbe disease and affects the nerves uniformly. Nerve conduction studies may provide a highly sensitive tool to screen this patient population.
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