Hemodialysis Affects Interatrial Conduction
Bibliographic record
Abstract
interatrial block; supraventricular arrhythmias; hemodialysisTo the Editor,We read with interest the manuscript by Astan et al. 1 recently published in the Journal.We would like to congratulate the authors on their efforts.Their study aimed to investigate the acute effects of hemodialysis on ECG parameters looking for noninvasive markers of susceptibility to arrhythmias, which can ultimately contribute to cardiovascular morbidity and mortality in the hemodialysis population.The authors specifically focused on P wave and QRS complex amplitude as well as on QRS duration and QT dispersion, and their changes after treatment.Most of the changes were attributed to the fluid loss induced by hemodialysis.We would like to comment on an important ECG variable that unfortunately the authors did not comment on.P-wave duration, as a manifestation of interatrial conduction, is associated with the development of supraventricular arrhythmias (more precisely atrial fibrillation [AF] and atypical atrial flutter) 2-6 and possibly with total cardiovascular mortality. 7nteratrial delayed conduction leading to P-wave prolongation (ࣙ 120 ms) is the hallmark of interatrial block (IAB). 8IAB can be classified as partial (P wave ࣙ 120 ms) or advanced (P wave ࣙ 120 ms with ± morphology in leads II, III and aVF).IAB is highly prevalent in the general population 9 as well
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.025 | 0.020 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".