Differential Peripheral Inflammatory Factors Associated with Cognitive Function in Patients with Heart Failure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Cognitive deficits are common in patients with heart failure (HF), and can negatively affect self-care, predict rehospitalizations, and increase mortality rates 5-fold. Inflammation can produce vascular pathology, reducing cerebral blood flow to brain regions necessary for optimal cognitive function. The purpose of the investigation was to identify a pattern of peripheral blood inflammation-related biomarkers associated with cognitive impairment in patients with HF. METHODS: Forty-five outpatients (median age = 67 years, SD = 9.9) were recruited from University of California, San Diego (UCSD) and Veterans Affairs San Diego Healthcare Systems (VASDHS), diagnosed with New York Heart Association Stages I-III HF. Participants were administered the Montreal Cognitive Assessment (MoCA) as a measure of global cognitive impairment, and blood was analyzed for plasma biomarkers, interferon-γ, tumor necrosis factor-α (TNFα), soluble intercellular adhesion molecule-1 (sICAM-1), soluble vascular cell adhesion molecule-1 (sVCAM-1), brain-derived neurotrophic factor (BDNF), interleukin-8 (IL-8), matrix metallopeptidase-9 (MMP-9), IL-6, C-reactive protein (CRP), and serum amyloid-A (SAA). RESULTS: Almost half the patients scored below the threshold on the MoCA, indicating at least mild cognitive impairment. A factor analysis produced three biomarker factors: vascular inflammatory factor-1: TNFα, sICAM1, sVCAM1; neuroinflammatory factor-2: BDNF, MMP-9, IL-8; peripheral inflammatory factor-3: IL-6, CRP, SAA. Only vascular inflammatory factor-1 was significantly associated with cognitive function (MoCA) (ΔR2 = 0.214, beta = -0.468, p = 0.008). CONCLUSIONS: In this cohort with HF, vascular inflammation appears related to poorer cognitive function. This could indicate targets for treatment to reduce cognitive deficits in HF. However, this is a preliminary study, and further research is needed.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it