High-Sensitivity Cardiac Troponin T and Cognitive Function in Patients With Ischemic Stroke
Bibliographic record
Abstract
Background and Purpose- Our study aim was to assess whether high-sensitivity cardiac troponin T (hs-cTnT), a specific biomarker for myocardial injury, is associated with cognitive function in patients after mild-to-moderate first-ever ischemic stroke. Methods- We used data from PROSCIS-B (Prospective Cohort With Incident Stroke Berlin). Cognitive function was assessed by Mini-Mental-State-Examination at baseline, and Telephone Interview for Cognitive Status-modified after 1 to 3 years of follow-up. Patients were categorized according to hs-cTnT quartiles. We performed generalized linear regression to calculate risk ratios of cognitive impairment (Mini-Mental-State-Examination <27; Telephone Interview for Cognitive Status-modified <32). Association of hs-cTnT with cognitive function over time was estimated using a linear mixed model. Results- We included 555 patients (mean age, 67 years, 62% male, median National Institutes of Health Stroke Scale 2 [interquartile range, 1-5], hs-cTnT above upper reference limit 40%, baseline cognitive impairment 28%). Baseline Mini-Mental-State-Examination score and rate of cognitive impairment were lower in patients in the highest versus lowest hs-cTnT quartile (median Mini-Mental-State-Examination 27 versus 29, and 15.3% versus 43.0%, adjusted risk ratio, 1.76 [95% CI, 1.07-2.90], respectively). If anything, cognition seemed to improve in all groups, yet Telephone Interview for Cognitive Status-modified scores were consistently lower in patients within the highest versus lowest hs-cTnT quartile (adjusted β, -1.33 [95% CI, -2.65 to -0.02]), without difference in the rate of change over time. Conclusions- In patients with mild-to-moderate first-ever ischemic stroke without dementia, higher hs-cTnT was associated with higher prevalence of cognitive impairment at baseline and lower Telephone Interview for Cognitive Status-modified during 3-year follow-up. Registration- URL: https://www.clinicaltrials.gov; Unique identifier: NCT01363856.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".