Cardiac Resynchronization Therapy: A Pilot Study Examining Cognitive Change in Patients Before and After Treatment
Bibliographic record
Abstract
BACKGROUND: Cardiovascular patients with reduced cardiovascular output and capacity such as those with congestive heart failure (CHF) have demonstrated cognitive-related dysfunction. The use of cardiac resynchronization therapy (CRT) is considered standard care for CHF patients who do not improve despite optimal medical therapy. Cardiac resynchronization therapy may improve neurocognitive and psychosocial functioning in patients by increasing cardiac output and cerebral perfusion. METHODS: A total of 20 patients were examined before and 3 months after CRT device implantation, via administration of standard neurocognitive and psychosocial testing measures. RESULTS: Significant improvements in neurocognitive measures of attention (Digit Span: t[20] = - 2.695 [55.94+/-9.27-62.31+/-10.05], P = 0.015) and information processing (Digit Symbol: t[20] = - 4.577, P < 0.001; Controlled Oral Word Association Test: t[20] = - 3.338, P = 0.004) were demonstrated. Improvements in cardiac-specific quality of life were also significant (Minnesota Living with Heart Failure Questionnaire: t[16] = 3.544, P = 0.005 [55.17+/-18.23-36.75+/-18.00]; The Left Ventricular Dysfunction Questionnaire: t[16] = 3.544, P = 0.003 [63.43+/-23.35-43.29+/-21.62]). CONCLUSION: These results represent clinically significant, qualitative, and quantitative cognitive functional benefits for patients from a neurocognitive and psychosocial perspective. Results suggest that biventricular pacing improves cardiovascular outcome and psychosocial functioning in patients with CHF. The future investigation of a larger sample would be beneficial in establishing the depth and breadth of this improvement.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".