Depression and cognitive impairment following recovery from thrombotic thrombocytopenic purpura
Bibliographic record
Abstract
After recovery from an acute episode of acquired thrombotic thrombocytopenic purpura (TTP), patients often describe problems with memory, concentration, and endurance. We have previously reported the occurrence of depression and cognitive impairment in these patients. In this study, we describe the frequency, severity, and clinical course of depression and cognitive impairment. Fifty-two (85%) out of 61 eligible Oklahoma Registry patients who had recovered from TTP, documented by ADAMTS13 activity <10%, have had at least one (median, four) evaluation for depression over 11 years using the Beck Depression Inventory-II; 31 (59%) patients screened positive for depression at least once; in 15 (29%), the results suggested severe depression at least once. Nine of these 15 patients had a psychiatric interview, the definitive diagnostic evaluation; the diagnosis of major depressive disorder was established in eight (89%) patients. In 2014, cognitive ability was evaluated in 33 patients by the Montreal Cognitive Assessment and the Repeatable Battery for Assessment of Neuropsychological Status (RBANS). Both tests detected significant cognitive impairment in the patients as a group. Fifteen out of the 33 patients had been evaluated by extensive cognitive tests in 2006. The 2014 RBANS results were significantly worse than the 2006 results for the overall score and two out of the five RBANS domains (immediate and delayed memory). Neither depression nor cognitive impairment was significantly associated with the occurrence of relapses or ADAMTS13 activity <10% during remission. These observations emphasize the importance of screening evaluations for depression and cognitive impairment after recovery from acquired TTP.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".