Serum magnesium and outcomes in heart failure with reduced ejection fraction: the GALACTIC-HF trial
Bibliographic record
Abstract
BACKGROUND AND AIMS: The frequency and prognostic significance of abnormalities in serum magnesium concentrations have not been described in a contemporary heart failure (HF) population. The authors evaluated the prognostic significance of magnesium concentrations in patients with HF with reduced ejection fraction (HFrEF) enrolled in GALACTIC-HF trial. METHODS: GALACTIC-HF was a randomized, double-blind, multicentre, event-driven trial that investigated the efficacy and safety of omecamtiv mecarbil compared with placebo in HF patients with left ventricular ejection fraction ≤ 35%. The primary outcome was the composite of a first worsening HF event or cardiovascular death. RESULTS: A total of 6147 outpatients had baseline serum magnesium data. Of these, 1082 (17.6%) had magnesium concentrations below .75 mmol/L, 4410 (71.7%) had concentrations within the normal range, and 655 (10.7%) had concentrations above .95 mmol/L. The incidence rate (per 100 person-years) for the primary composite outcome was highest in patients with hypermagnesaemia (34.9, 95% confidence interval 31.2-39.0), while rates were similar between those with hypomagnesaemia (21.5, 19.4-23.8), and normal magnesium (20.9, 19.9-22.0). Similar trends were observed for the components of the primary outcome and all-cause death. The incidence rate of sudden death and ventricular tachyarrhythmia did not differ among the three magnesium groups, but the risk of death from worsening HF was highest in patients with hypermagnesaemia. CONCLUSIONS: In GALACTIC-HF, 10.7% of outpatients with HFrEF had hypermagnesaemia, which was associated with a higher risk of the primary outcome compared with normal magnesium concentrations. Abnormal magnesium levels were not associated with a higher risk of sudden death or ventricular tachyarrhythmias. These findings do not support routine correction of hypomagnesaemia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".