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Record W7116911241 · doi:10.1002/alz70860_101679

Associations between Alzheimer's disease polygenic risk and postoperative delirium: a prospective cohort study

2025· article· en· W7116911241 on OpenAlexaff
Yun Jin Chen, Arlen Gaba, Peng Li, Kun Hu, Hui‐Wen Yang

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsProspective cohort studyPolygenic risk scoreBiobankDiseaseCohort studyDeliriumCohortPredictive value

Abstract

fetched live from OpenAlex

BACKGROUND: Postoperative delirium (POD), marked by acute mental status changes and impaired attention, affects up to one-third of surgical patients, leading to significant morbidity, mortality, cognitive decline, and potential progression to Alzheimer's disease (AD). While APOE-ε4 is a recognized genetic risk factor for AD, its association with POD remains inconsistent. This study investigates whether a higher AD Polygenic Risk Score (AD-PRS) predicts increased POD risk in patients without known dementia. Given the link between sleep disturbances, AD, and POD, we also examine how sleep modifies this relationship. METHOD: This prospective cohort study used data from 500,000 UK Biobank participants (mean age 57±8 years) to identify new-onset delirium over a 12-year median follow-up. POD cases were identified using the International Classification of Disease-10 coding, occurring within three days of surgery. Participants with pre-existing dementia or dementia diagnosed within one year of POD were excluded. AD-PRS was calculated as a weighted sum of genetic variants, with scores divided into quartiles due to the absence of standardized thresholds. Covariates included demographics, comorbidities, and lifestyle factors, with sleep burden categorized as minimal, mild, or moderate/severe. Cox proportional hazard models were used to evaluate the relationship between AD-PRS and POD risk. RESULT: AD-PRS was available for 487,269 participants, with 1610 cases of POD identified after excluding those with known dementia. A stepwise increase in POD risk was observed with higher AD-PRS quartiles (Q). Compared to Q1, individuals in Q3 (Hazard Ratio = 1.23, 95% Confidence Interval [1.07-1.42], p < .01) and Q4 (1.35, [1.18-1.56], p < .001) had progressively higher POD risk (Figure 1). This association remained consistent in the fully adjusted model (Table 2). AD-PRS was equally predictive for POD risk across the three poor sleep burden groups, sexes, and age groups (Figure 2). CONCLUSION: Higher AD-PRS is independently associated with an increased risk of POD in adults without dementia. The predictive value of AD-PRS remained consistent across sleep burden levels, sexes, and age groups. These findings highlight the role of polygenic Alzheimer's risk, beyond APOE-ε4, in delirium susceptibility after surgery, but prospective surgical cohorts are needed to confirm these biobank findings.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.298
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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