De novo appearance of cerebral microbleeds in community-dwelling older adults. Neuroimaging and clinical correlates
Bibliographic record
Abstract
Background and PurposeProspective studies on cerebral microbleeds (CMB) have departed from individuals who already have CMB at baseline. Therefore, main outcomes have usually been the composite of new lesions appearing on the follow-up among patients who already had CMB together with those who de novo developed CMB. Using the Atahualpa Project Cohort, we aimed to assess correlates of incident CMB in community-dwelling older adults free of CMB at baseline.MethodsAtahualpa residents aged ≥ 60 years received baseline clinical interviews and a brain MRI. Those who were free of CMB at baseline and received follow-up brain MRI at the end of the study were included. Multivariate logistic and Poisson regression models were fitted to assess the association and the incidence rate ratio (IRR) of incident CMB according to clinical and neuroimaging variables.ResultsThe mean age of 241 study participants was 65.6 ± 6.1 years (57% women). After 6.5 years of follow-up, 25 subjects (10.4%) developed incident CMB. A total of 37 CMB were noticed in these 25 patients. A parsimonious logistic regression model demonstrated an association between the Edmonton Frail Scale (EFS) and incident CMB (<i>p</i> = .043). Multivariate logistic regression models showed an association between WMH progression and incident CMB (<i>p</i> = .011). Using Poisson regression models, the IRR for WMH progression at follow-up was increased in subjects with incident CMB (<i>p</i> = .029).ConclusionsStudy results show a significant relationship between the EFS, WMH progression, and incident CMB. This knowledge will allow the implementation of preventive policies to reduce incident CMB and its consequences.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".