Incidence and Risk Factors for Hyponatremia in Patients Newly Prescribed Citalopram
Bibliographic record
Abstract
Hyponatremia is a common and under-recognized adverse drug reaction of citalopram. This study aims to determine the incidence of hyponatremia and to identify risk factors in a large, population-based cohort initiating new prescriptions for citalopram. Following approval from the ethics review board, data were obtained from Alberta Information Network databases to identify patients with new citalopram prescriptions from 2010-2017, inclusive. Hyponatremia was defined as serum sodium level <135 mmol/L. Associations were determined by performing Cox regression with time-varying covariate analysis, with the development of hyponatremia as the dependent variable. This is the first large-scale, population-based study to explore risk factors, based solely on laboratory serum data, for the development of hyponatremia in patients initiating citalopram therapy. We report a 16.7% incidence of hyponatremia after starting citalopram treatment and significant risk factors include lower baseline sodium, concurrent thiazide diuretic use, older age, and male sex.
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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) | 0.000 | 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) | 0.002 | 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".