Use of clozapine to treat psychogenic polydipsia in schizoaffective disorder—A case report
Bibliographic record
Abstract
Psychogenic polydipsia (PPD) is a well-recognized condition characterized by excessive volitional water intake and often seen in patients with chronic mental illness, particularly schizophrenia and schizoaffective disorders. Literature is inconclusive around the treatment of PPD. This is case report of a 68-year old woman with past history of schizoaffective disorder – bipolar type, who was admitted to a specialized psychiatric facility for treatment. At the time of admission, she scored 10 on Positive Symptoms Scale (PSS) indicating severe psychosis. During her inpatient stay she was found to consume more than two liters of fluid daily which was soon followed by confusion, agitation, and gait imbalance. At that time, her serum sodium was 113 mmol/L which indicated significant hyponatremia. Through assessment and consultation with an endocrinology specialist, non-psychogenic polydipsia was ruled out and the patient was treated first with Haloperidol, Acetazolamide and finally Clozapine which was found to stabilize her psychotic symptoms as well as PPD. At the time of discharge, patient's serum sodium level was 143 mmol/L and her PSS score was 3. In this case, clozapine was effective in treating psychosis as well as PPD. Given that this patient was an older adult, this report indicates the feasibility of clozapine treatment, if tolerated well, to the geriatric population.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".