Depression and Diabetes Mellitus Multimorbidity Is Associated With Loss of Independence and Dementia Poststroke
Bibliographic record
Abstract
Background and Purpose: Many patients with ischemic stroke present with multiple comorbidities that threaten survival and recovery. This study sought to determine the risks of adverse long-term stroke outcomes associated with multimorbid diabetes mellitus and depression. Methods: Retrospective analysis of prospectively collected data on consecutive patients without premorbid dementia admitted from the community for a first-ever acute ischemic stroke to comprehensive stroke centers across Ontario, Canada (2003–2013). Premorbid histories of diabetes mellitus and depression were ascertained within 5 years before stroke admission. Adjusted hazard ratios (aHR [95% CI]) of admission to long-term care, incident dementia, readmission for stroke or transient ischemic attack and all-cause mortality, over time among those discharged back into the community poststroke. Results: Among 23 579 stroke admissions, n=20 201 were discharged back into the community. Diabetes mellitus and depression were associated with synergistic hazards of admission to long-term care (X 2 =5.4; P =0.02) over a median follow-up of 5.6 years. This interaction was observed among women specifically; depression multimorbidity showed particularly high hazards of admission to long-term care (aHR Depression =1.57 [1.24–1.98]) and incident dementia (aHR Depression =1.85 [1.40–2.44]) among women with diabetes mellitus. In the whole cohort, diabetes mellitus and depression were associated individually with long-term care admission (aHR Diabetes =1.20 [1.12–1.29]; aHR Depression =1.19 [1.04–1.37]), incident dementia (aHR Diabetes =1.14 [1.06–1.23]; aHR Depression =1.27 [1.08–1.49]), stroke/transient ischemic attack readmission (aHR Diabetes =1.18 [1.10–1.26]; aHR Depression =1.24 [1.07–1.42]), and all-cause mortality (aHR Diabetes =1.29 [1.23–1.36]; aHR Depression =1.16 [1.05–1.29]). Conclusions: The risks of dementia and needing long-term care in the years after surviving a stroke were particularly elevated among women when premorbid diabetes mellitus and depression occurred together. Long-term stroke recovery strategies might target high-risk patients with mood and metabolic multimorbidity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".