Nocturnal Home Hemodialysis Associates with Improvement of Electrocardiographic Features Linked to Sudden Cardiac Death
Bibliographic record
Abstract
Sudden cardiac death (SCD) remains the leading cause of death in hemodialysis patients. We performed a retrospective electrocardiograph (ECG) and chart review to determine whether hemodialysis modality, frequency, or duration could predict change in ECG parameters associated with SCD. Frequent nocturnal hemodialysis was associated with an improvement in Tpeak to Tend within 365 days (83.8-71.8 ms, p = 0.005) and past 365 days of dialysis initiation (85.9-77.1 ms, p = 0.005) and improvement in QRS amplitude variation within 365 days (0.0583-0.0297, p = 0.025) and past 365 days of dialysis initiation (0.0546-0.0332, p = 0.029). Compared with intermittent conventional hemodialysis, more frequent nocturnal (15/25 vs. 3/14, p = 0.04) and intermittent nocturnal hemodialysis (INHD) (6/8 vs. 3/14, p = 0.03) patients decreased Tpeak to Tend. More short-hours daily than INHD patients increased T-wave amplitude variation (16/25 vs. 1/8, p = 0.02). These improvements occurred before changes in Cornell or Sokolow-Lyon electrocardiographic left ventricular mass. Thus, it appears that hemodialysis modalities of longer duration are associated with improvements in electrocardiographic parameters associated with SCD. Prospective trials are required to determine whether dialysis prescription reduces SCD, cardiovascular morbidity, and mortality in hemodialysis patients.
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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 | 0.000 | 0.003 |
| 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) | 0.001 | 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".