Accelerated neuropathy among chronic kidney disease patients undergoing hemodialysis: <scp>Analysis</scp> of an institutional cluster
Bibliographic record
Abstract
BACKGROUND: Accelerated neuropathy is a rare syndrome of rapidly worsening peripheral neuropathy, typically described in end-stage kidney disease (ESKD) patients undergoing dialysis. In our center, we encountered a surge in the occurrence of accelerated neuropathy among ESKD patients undergoing hemodialysis, which prompted systematic research. METHODS: In this case-control study, we present the clinical features, electrophysiologic findings, and outcome of a series of patients who developed accelerated neuropathy after commencing hemodialysis for ESKD. Those who initiated hemodialysis and did not develop accelerated neuropathy were included as controls. We used logistic regression to identify predictors of accelerated neuropathy. RESULTS: Among 436 ESKD patients who initiated hemodialysis over 4 years, 17 were diagnosed with accelerated neuropathy. The median-time (interquartile range) from hemodialysis initiation to presentation with accelerated neuropathy was 3 weeks (2-6). It typically presented as acute onset of unsteadiness of gait necessitating assistance for ambulation. Electrophysiology revealed length-dependent symmetric sensorimotor axonal neuropathy. Diabetes mellitus (odds ratio [OR] 4.1, 95% CI 1.2-13.9, p = 0.02), pre-existing peripheral neuropathy (OR 9.25, 95% CI 2.79-30.6, p < 0.001), and serum alkaline phosphatase (OR 1.2 for every 10 U increase, 95% CI 1.00-1.52, p = 0.04) significantly predicted accelerated neuropathy. With continued dialysis and supportive care, neurologic status improved, total-neuropathy score (summary score of peripheral nerve dysfunction incorporating clinical and electrophysiological parameters) declined from 26.5 to 18.4 (p < 0.001) and most regained unassisted ambulation. CONCLUSION: This study presents the largest series of patients with accelerated neuropathy and has identified predictors. However, in view of the unusually high incidence of accelerated neuropathy we speculate that other unidentified factor(s) could be underlying its pathogenesis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".