High magnesium dialysate does not improve intradialytic hemodynamics or abrogate myocardial stunning
Bibliographic record
Abstract
BACKGROUND: Hemodialysis (HD) induces myocardial stunning and is associated with adverse cardiovascular outcomes. Intradialytic hypotension is a modifiable determinant of myocardial stunning. Magnesium (Mg) is reported to be valuable in maintaining intradialytic blood pressure, which potentially would protect against demand myocardial ischemia. This study aimed to compare high vs. low dialysate Mg effects on intradialytic hemodynamics and HD-induced myocardial stunning. METHODS: Twenty stable prevalent HD patients entered a randomized cross-over trial of low (0.5 mmol/L) vs. high (1.0 mmol/L) dialysate Mg. Patients were studied after 2 weeks of standard HD with each Mg concentration. Serial echocardiography assessed myocardial stunning, measured by left ventricular regional wall motion abnormalities (RWMAs). Continuous intradialytic hemodynamics were measured noninvasively using thoracic bioimpedance. FINDINGS: Median predialysis serum Mg was higher with high dialysate Mg (1.45[1.29-1.55] vs. 1.03[0.98-1.1] mmol/L, P < 0.0001). There was no significant difference in maximum intradialytic reduction in systolic BP. There was no significant difference in stroke volume, total peripheral resistance, and cardiac output. Overall ventricular global longitudinal strain (GLS) (as a sensitive marker of contractile function) was higher before dialysis in high Mg group, but there was no difference in GLS at peak stress. However, we showed a significant correlation between Mg changes and GLS changes, r = -0.47, P = 0.02. There was no difference in mean number of peak stress RWMAs per patient (4.0 ± 2.2 vs. 4.3 ± 2.9, P = 0.5). Ultrafiltration volume, a critical determinant of stunning, was not different between high and low dialysate Mg studies (1.35[0-3.3] vs. 1.5[0-2.8], P = 0.49). DISCUSSION: Manipulation of magnesium by altering dialysate magnesium concentration does not influence intradialytic hemodynamic response or HD-induced myocardial stunning in the short term. However, decreasing Mg changes appears to decrease GLS changes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".