Peripheral neuropathy in Krabbe disease
Bibliographic record
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".