Hypomagnesemia During Teriparatide Treatment in Osteoporosis: Incidence and Determinants
Bibliographic record
Abstract
In our clinical experience, we have encountered patients who developed hypomagnesemia after the introduction of teriparatide. Some trials have reported hypomagnesemia as an adverse event during teriparatide treatment, but this issue had never been studied specifically. Our objective was twofold: 1) determine the incidence of hypomagnesemia (serum magnesium <0.7 mmol/L) associated with teriparatide in a retrospective cohort and 2) identify the predisposing factors to hypomagnesemia in this cohort. We reviewed the files of 53 patients treated for severe osteoporosis with teriparatide for 6 to 24 months between May 2008 and January 2016. Serum magnesium levels were measured at 0, 3, 6, 12, 18, and 24 months. In the full cohort, we observed an average decrease of serum magnesium of 0.075 mmol/L, 0.069 mmol/L, 0.085 mmol/L, 0.086 mmol/L (p < 0.001) at 3, 6, 12 months, and at the end of the treatment, respectively. The cumulative incidence of hypomagnesemia during treatment with teriparatide was 35.9% (19 patients). Patients' older age (71.1 versus 65.1 years; p = 0.05) and lower baseline level of magnesium before teriparatide treatment (0.81 mmol/L versus 0.85 mmol/L; p = 0.03) were significant risk factors for teriparatide-induced hypomagnesemia. The average decrease of serum magnesium was greater in the patients who developed hypomagnesemia compared with normomagnesemic patients at 3 months (0.110 mmol/L versus 0.054 mmol/L; p = 0.02), 6 months (0.139 mmol/L versus 0.036 mmol/L; p < 0.001), and 12 months (0.156 mmol/L versus 0.048 mmol/L; p < 0.001). Serum calcium, creatinine, and parathyroid hormone remained normal throughout the treatment period. We observed a statistically significant decrease in the serum magnesium levels in patients treated with teriparatide for severe osteoporosis. Older age and lower baseline magnesium were significant determinants of hypomagnesemia. Closer monitoring of serum magnesium level should be considered in these patients. © 2018 American Society for Bone and Mineral Research.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".