Plasma Sodium Setpoint
Bibliographic record
Abstract
Stability of predialysis sodium "setpoint" has not been validated in quotidian dialysis patients. We performed a retrospective review of our home hemodialysis program, to determine the effect of transitioning from conventional thrice weekly to home hemodialysis modalities differing in dialysis duration and frequency (n = 87). Mean sodium setpoint remained constant in patients who went home on intermittent hemodialysis, but decreased by 100 days in frequent nocturnal home hemodialysis (FNHD) (140.5-137.1 mM, p = 0.001) and short hours daily hemodialysis (SHD) (140.2-138.7 mM, p = 0.019) patients with a pretransition setpoint greater than dialysate sodium of 140 mM. Slope of predialysis sodium concentration within the first 100 days post-transition (M100) was less than zero in SHD (95% confidence interval [CI], -0.0081 to -0.0351 mM/day) and FNHD (95% CI, -0.0209 to -0.0695 mM/day) patients who started with a pretransition setpoint greater than dialysate sodium concentration of 140 mM. Change in sodium setpoint (SP) was predicted by dialysis frequency and the difference between dialysate sodium concentration and the pretransition predialysis sodium concentration (R = 35.4%, adjusted R = 33.8%, p < 0.001). Thus, personalizing dialysate sodium concentrations may be associated with a decrease in SP, which is independently associated with increased mortality. Further research is required to determine whether intentional increases in the SP could improve cardiovascular and all-cause mortality.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".