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Record W4413807426 · doi:10.1007/s40520-025-03140-2

Association between preoperative blood–brain barrier permeability and postoperative delirium in older patients undergoing cardiac surgery: a pilot study

2025· article· en· W4413807426 on OpenAlexaboutno aff
Lichao Di, Peiying Huang, Yuting He, Jie Li, Yü Liu, Na Sun, Lining Huang

Bibliographic record

VenueAging Clinical and Experimental Research · 2025
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
FundersNatural Science Foundation of Hebei Province
KeywordsDeliriumMedicineAnesthesiaCardiac surgerySurgeryIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Postoperative delirium (POD) is a frequent and serious complication in older adults after cardiac surgery. Blood-brain barrier (BBB) dysfunction is implicated in cognitive decline, but its preoperative role in POD remains underexplored. This pilot study aimed to investigate the association between preoperative regional BBB permeability, assessed by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), and POD in older patients undergoing off-pump coronary artery bypass grafting (OPCABG). METHODS: This prospective observational pilot study, registered in the Chinese Clinical Trial Registry (ChiCTR2200063774), included patients aged ≥ 65 years scheduled for OPCABG. Preoperative BBB permeability (quantified as Ktrans) in the hippocampus, thalamus, frontal lobe, and temporal lobe, along with regional brain volumes and Montreal Cognitive Assessment-Basic (MoCA-B) scores, were assessed. POD was diagnosed using the 3-Minute Diagnostic Confusion Assessment Method (3D-CAM) or CAM-ICU for 5 postoperative days. Univariable and multivariable logistic regression analyses were performed to identify predictors of POD. Correlations between Ktrans, volume, and POD severity (CAM-S) were examined. RESULTS: Fifty patients (mean age 69.0 ± 3.3 years) were analyzed; 19 (38%) developed POD. In univariable analysis, higher preoperative Ktrans in the hippocampus (Odds Ratio [OR] 1.350, 95%CI 1.048-1.740, P = 0.020) and thalamus (OR 1.466, 95%CI 1.017-2.113, P = 0.040), lower MoCA-B scores (P = 0.020), and smaller hippocampal (OR 0.297, 95%CI 0.131-0.672, P = 0.004) and thalamic volumes (OR 0.304, 95%CI 0.121-0.766, P = 0.012) were associated with POD. However, in multivariable logistic regression including MoCA-B, Ktrans, and volumes, only lower MoCA-B scores (OR 0.697, 95%CI 0.513-0.947, P = 0.021) and smaller hippocampal volume (OR 0.322, 95%CI 0.105-0.992, P = 0.048) remained independent predictors of POD incidence. Preoperative hippocampal Ktrans correlated significantly with POD severity (CAM-S, r = 0.673, P = 0.002). CONCLUSION: In this pilot study, while increased preoperative BBB permeability in the hippocampus and thalamus was associated with POD univariably, baseline cognitive function and hippocampal volume were stronger independent preoperative predictors of POD incidence after OPCABG. Higher preoperative hippocampal BBB permeability was associated with greater POD severity, suggesting a role for pre-existing BBB vulnerability in exacerbating delirium. These preliminary and exploratory findings warrant validation in larger, adequately powered cohorts and highlight the complex interplay of pre-existing brain vulnerabilities in POD development. TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR2200063774; registered on 09/16/2022).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.443
Teacher spread0.368 · 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 teacher head, not a consensus.

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

Citations3
Published2025
Admission routes1
Has abstractyes

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