Beer Potomania: A Challenging Case of Hyponatremia
Bibliographic record
Abstract
Beer potomania is a syndrome of hyponatremia associated with excessive beer drinking. Little or no salt content of beer results in marked reduction in the solute load to the kidney. This leads to impaired water clearance and dilutional hyponatremia. A 66-year-old man with history of alcoholism and alcoholic cardiomyopathy presented to the emergency room with tremors of his upper and lower extremities. He had a significant history of alcohol consumption, usually drinking 4 - 5 cans of beer per night for the past 34 years. In addition, he had consumed a fifth of a vodka bottle the day before presentation. He had a pattern of often skipping meals though was compliant with both his diuretics medications: furosemide 40 mg once daily and spironolactone 25 mg daily. On physical exam, he was euvolemic. Neurological exam revealed resting tremors of both his hands. Labs were remarkable for plasma sodium of 122, brain natriuretic peptide of 474, serum osmolality of 268, urine osmolality of 223, and urine sodium of 20. Patient was assessed to have moderate euvolemic hypotonic hyponatremia. The combination of euvolemic hyponatremia with history of excessive beer drinking made beer potomania very likely. His urine osmolality and urine sodium, however, were higher than expected in beer potomania. These could be explained by the two diuretics that the patient was taking. Patient was managed with fluid restriction, appropriate nutritional and sodium intake and withholding of his diuretics. Plasma sodium slowly corrected to 130 over the course of 3 days. This case illustrates the condition beer potomania, an infrequent cause of hyponatremia. Findings in hyponatremia do not always point in one direction, especially with the concomitant use of diuretics. Recognition of beer potomania is critical as it is associated with serious neurologic sequelae that should be part of counseling against alcohol abuse. J Endocrinol Metab. 2016;6(4):123-126 doi: http://dx.doi.org/10.14740/jem350e
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".