143 ASSOCIATIONS BETWEEN NTPROBNP AND COGNITION IN THE IRISH LONGITUDINAL STUDY ON AGEING (TILDA)
Bibliographic record
Abstract
Abstract Background Cardiovascular insults increase the risk for future neurological diseases in late life. NT-proB-type Natriuretic Peptide (NTproBNP) is a hormone released in response to pressure changes inside the heart, often related to heart failure and other cardiac problems. We investigated whether levels of this biomarker are related to cognition in older adults from the Irish Longitudinal Study on Ageing (TILDA), a nationally representative cohort of adults aged 50 years and older living in Ireland. Methods NTproBNP levels were measured in 4,963 participants, mean age 62.6 years and 53.4% women, from blood drawn during wave 1 of the study (2009-2011). Cognitive outcomes collected at wave 1 included: memory function (the sum of scores of immediate word recall, delayed recall and prospective memory), a measure of global cognitive function (the Montreal Cognitive Assessment - MoCA), and a measure of semantic fluency (the Animal Naming task). Both NTproBNP and the MoCA scores were log-transformed to correct for skewedness. Results Cross-sectional analyses using multivariable linear regression found that NTproBNP was significantly and negatively associated with memory (std coeff. –0.049, std error 0.057, p=.001) and the MoCA (std coeff –0.034, std error .002, p=0.027) after adjusting for age, gender, education, and depressive symptoms. After further adjustment for cardiovascular risk factors (hypertension, high cholesterol, current smoking and problem drinking) and prevalent cardiovascular diseases (heart failure, myocardial infarction, angina pectoris, stroke, and transient ischemic attack), the associations remained for both cognitive measures (memory: std coeff –0.047, std error 0.061, p=.003; MoCA: std coeff. –0.036, std error .002, p=.029). No significant associations were found for the Animal Naming task (full model std coeff. –0.016, std error 0.087, p=0.37). Conclusion These results suggest that NTproBNP may be a useful early indicator for declines in some domains of cognitive function in older adults, with and without current cardiovascular diseases. Additional research is needed to evaluate the predictive value of this biomarker.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".