Pregnancy hypertension is associated with higher p-tau217 in healthy midlife women
Bibliographic record
Abstract
Introduction There is very limited knowledge on the relationship between pregnancy hypertension and the occurrence of pre-clinical Alzheimer's disease (AD). Methods Community-dwelling midlife women without dementia were enrolled from well-woman clinics of the National University Hospital, Singapore. Sociodemographic parameters and history of pregnancy hypertension were obtained. Cognition was assessed using the Montreal Cognitive Assessment-Basic tool. Fasted blood samples were stored for batched analysis of renal function, APOE genotyping and p-tau217 levels using Simoa® ALZpath p-tau217 Advantage PLUS (Quanterix, MA, USA). General linear modelling was used to examine the association between pregnancy hypertension and p-tau217. Results Among 743 women (mean age 62.9 ± 6.0; range: 50.7 to 76.6 years) enrolled, 68 (9.2%) reported pregnancy hypertension. General linear modelling showed that an older age [mean difference: 0.002 (95% CI: 0.001, 0.003)], mild cognitive impairment [0.016 (0.001, 0.032)], lower BMI [0.068 (0.027, 0.109)], eGFR<60 mL/min/1.73 m 2 [0.132 (0.072, 0.193)] and the APOE4 carrier genotype [0.038 (0.018, 0.058)] were independently associated with higher serum p-tau217 levels. History of pregnancy hypertension remained significantly associated with subsequent higher serum p-tau217 [0.040 (0.013, 0.067)], after adjustment for age, mild cognitive impairment, hypertension, BMI, renal function, and APOE4 genotype status . Discussion Pregnancy hypertension was associated with AD pathology with mean differences similar to high risk APOE4 carrier genotypes. Information on pregnancy hypertension could help physicians to identify women who might benefit from early p-tau217 screening for Alzheimer’s disease, allowing for early clinical intervention.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".