Excessive Ingestion of Almond Milk Causes Severe Hypercalcemia and Acute Kidney Injury in a Patient With Chronic Kidney Disease
Bibliographic record
Abstract
Background: Almond milk has a higher calcium content than cow's milk. Hypercalcemia after consuming almond milk has been reported in infants, but to our knowledge, we report the first case of almond milk-induced severe hypercalcemia in an adult. Case Report: A 66-year-old male with a history of diabetes and chronic kidney disease was referred to the emergency department because of laboratory results that showed severe hypercalcemia and acutely elevated serum creatinine. The family member who brought the patient to the hospital reported that he had displayed intermittent confusion. History revealed that 4 weeks prior, the patient had stopped his habit of consuming a gallon of cow's milk every day because of hyperglycemia. He switched to consuming a gallon of unsweetened almond milk every day, leading to severe hypercalcemia. Other causes of hypercalcemia were ruled out. Treatment with intravenous fluids and calcitonin normalized the patient's serum calcium level and improved his kidney function. Conclusion: The consumption of almond milk in large quantities is associated with the potential risk of hypercalcemia, especially in patients with chronic kidney disease. Careful consideration of the mineral content is recommended.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".