THU113 Psychopathological Characteristics In Patients With Arginine Vasopressin Deficiency (Central Diabetes Insipidus) And Primary Polydipsia
Bibliographic record
Abstract
Abstract Disclosure: J. Beck: None. C. Atila: None. J. Refardt: None. Z. Erlic: None. J.B. Drummond: None. B.S. Soares: None. F. Beuschlein: None. B.F. Winzeler: None. M. Christ-Crain: None. Introduction The differential diagnosis between arginine vasopressin deficiency (AVP-D), formally known as central diabetes insipidus, and primary polydipsia (PP) is challenging. In clinical routine, psychopathologic findings are often used as a hallmark for diagnosing PP; thus, it is often referred to as psychogenic polydipsia. Yet, psychopathologic characteristics are barely assessed in patients with AVP-D, and to date, no data exist comparing AVP-D and PP with regard to these features. Therefore, in this study, we aimed to compare levels of anxiety, depression, alexithymia, and overall mental health in patients with AVP-D and PP. Methods This study combined data from two diagnostic studies conducted at three tertiary medical centers. In total, 82 participants (n=39 with AVP-D, n=28 with PP, and n=15 healthy controls [HC]) underwent a psychological evaluation with standardized questionnaires at study inclusion. Anxiety levels were assessed using the State-Trait Anxiety Inventory, mood using the Beck’s Depression Inventory, alexithymia using the Toronto Alexithymia Scale, and overall physical and mental health using the Short Form 36 Health Survey (SF-36). Higher STAI, BDI, and TAS scores indicate higher anxiety, depression, and alexithymia levels. Higher SF-36 scores indicate better health and less disability. Results Compared with HC, patients with AVP-D and PP showed increased levels of anxiety (HC 28 points [24, 31] vs. AVP-D 36 points [31, 45], p<0.01; vs. PP 38 points [33, 46], p<0.01), depression (HC one point [0, 2] vs. AVP-D 7 points [4, 14], p<0.01; vs. PP 7 points [3, 13], p<0.01), and alexithymia (HC 30 points [29, 37] vs. AVP-D 43 points [35, 54], p<0.01; vs. PP 46 points [37, 55], p<0.01). Levels of anxiety, depression, and alexithymia showed no difference between patients with AVP-D and PP (p=0.58, p=0.90, p=0.50). Compared with HC, patients with AVP-D and PP reported comparable reduced self-reported mental health scores (HC 84 [68, 88] vs. AVP-D 60 [52, 80], p=0.05; vs PP 60 [47, 74], p<0.01). Conclusion This is the first study demonstrating comparable increased levels of anxiety, depression, alexithymia, and overall reduced mental health in patients with AVP-D and PP. Based on these data, psychopathological findings should not be used as a hallmark to differentiate between both conditions. Presentation: Thursday, June 15, 2023
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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 | 0.001 |
| 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".