Cognitive impairment and outcomes in older adults with non-ST-elevation acute coronary syndrome
Bibliographic record
Abstract
OBJECTIVE: This study aimed to explore the prognostic impact of cognitive impairment on the long-term risk of major adverse cardiovascular events (MACEs) in older patients with non-ST-elevation acute coronary syndrome (NSTEACS) undergoing invasive treatment. METHODS: Patients aged ≥75 years with NSTEACS undergoing an invasive strategy were included in the multicentre prospective study (NCT01933581). Montreal Cognitive Assessment was used to evaluate cognitive status at baseline (scores ≥26 classified as normal, <26 as cognitive impairment). Long-term follow-up data were obtained from electronic patient care records. The primary endpoint was MACE as a composite of all-cause deaths, reinfarction, stroke/transient ischaemic attack, urgent revascularisation and significant bleeding. RESULTS: 239 patients with baseline cognitive assessment completed long-term follow-up. Median age was 80.9 years (IQR 78.2-83.9 years) and 62.3% were male. On 5-year follow-up, there was no significant difference in the occurrence of MACE between the cognitively impaired group and the normal cognition group (p=0.155). Cognition status was not associated with MACE (HR 1.37 (95% CI 0.96 to 1.95); p=0.082). However, there was significantly more deaths (p=0.005) in those with cognitive impairment. Kaplan-Meier survival analysis (log-rank p=0.003) and Cox regression analysis (aHR 1.85 (95% CI 1.11 to 3.08); p=0.018) revealed increased risk of all-cause mortality, even after adjusting for frailty and GRACE (Global Registry of Acute Coronary Events) score. CONCLUSION: Cognitive impairment in older patients with NSTEACS undergoing an invasive strategy was associated with long-term all-cause mortality. Routine cognitive screening may aid risk stratification and further studies are needed to identify how this should influence management strategies and individual decision-making in this patient group. TRIAL REGISTRATION NUMBER: NCT01933581.
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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 | 0.000 |
| 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".