Change in patient‐centered outcomes of psychological well‐being, sleep, and suicidality following treatment with intravenous ketamine for late‐life treatment‐resistant depression
Bibliographic record
Abstract
OBJECTIVE: To examine whether psychological well-being, sleep, and suicidality improved with treatment with intravenous (IV) ketamine for late-life treatment-resistant depression (TRD). METHODS: This is an analysis of secondary outcomes in an open-label late-life TRD study examining the safety, tolerability, and feasibility of IV ketamine infusions. In the acute phase, participants (N = 25) aged 60 years or older received twice-a-week IV ketamine for 4 weeks. Then, participants with Montgomery-Asberg Depression Rating Scale (MADRS) total score <10 or ≥ 30% reduction from baseline proceeded to the continuation phase, an additional four weeks of once-a-week IV ketamine. The secondary outcomes analyzed here are based on the National Institute of Health Toolbox Psychological Well-Being subscales for Positive Affect and General Life Satisfaction, the Pittsburgh Sleep Quality Index, and the Scale for Suicidal Ideation. RESULTS: Psychological well-being, sleep, and suicidality improved during the acute phase and those improvements were sustained during the continuation phase. Greater improvements in measures of psychological well-being and sleep were seen in participants who had greater improvements in MADRS scores and moved onto the continuation phase. All but one of the few participants with high suicidality at baseline improved; there were no cases of treatment-emergent suicidality. CONCLUSIONS: Psychological well-being, sleep, and suicidality improved in participants with late-life TRD who received IV ketamine for 8 weeks. A future larger and longer controlled trial is needed to confirm and extend these findings. REGISTRATION: ClinicalTrials.gov identifier: NCT04504175.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".