Evidence map›Paper›PMID 42518233›Full record

Observational studyJAMA network open2026

Plasma Amyloid-β 1-40 and Postoperative Delirium After Cardiac Surgery.

Christine A F von Arnim, Monika Sadlonova, Carlotta Derad, Maike Hohberg, Christopher M Celano, Irina Günther, Tobias Titsch, Iryna Krasiuk, Katharina Packroß, Matilda-Marie Becker and 13 more

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Christine A F von ArnimDepartment of Geriatrics, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Monika SadlonovaDepartment of Geriatrics, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Carlotta DeradDepartment of Medical Statistics, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Maike HohbergDepartment of Medical Statistics, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Christopher M CelanoDepartment of Psychiatry, Massachusetts General Hospital, Boston.
Irina GüntherDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Tobias TitschDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Iryna KrasiukDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Katharina PackroßDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Matilda-Marie BeckerDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Alina Isabel RediskeDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Nicholas Paul SüttmannDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Clara Maria KnoppDepartment of Geriatrics, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Stephanie HeinemannDepartment of Geriatrics, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Paul T IttingGerman Center for Cardiovascular Research (DZHK), partner site Lower Saxony, Germany.
Ingo KutschkaUniversity Heart Center Basel, University Hospital Basel, Basel, Switzerland.
Barbara MorgadoDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Hermann EsselmannDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Hassina BarakiUniversity Heart Center Basel, University Hospital Basel, Basel, Switzerland.
Thomas AsendorfDepartment of Medical Statistics, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Niels HansenDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
Jens WiltfangDepartment of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany.
FIND Delirium Risk Factors (FINDERI) investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Postoperative delirium (POD) is a frequent and severe complication after cardiac surgery that is associated with increased risk of dementia and adverse outcomes. Early identification of high-risk patients remains challenging. Objective: To examine whether preoperative plasma Alzheimer disease biomarkers are associated with baseline cognition and can independently estimate POD in patients undergoing elective cardiac surgery. Design, Setting, and Participants: This prospective, observational cohort study (FIND Delirium Risk Factors [FINDERI]) included patients 50 years or older undergoing elective cardiac surgery at a comprehensive cardiac surgery center in Germany between February 1, 2021, and October 31, 2022. Statistical analysis was performed from January to December 2025. Exposures: Preoperative plasma concentrations of amyloid-β 1-40 (Aβ1-40), amyloid-β 42 (Aβ1-42), phosphorylated tau 181 (pTau181), and phosphorylated tau 217 (pTau217) were measured using validated immunoassays between November 1, 2022, and July 31, 2024. Main Outcomes and Measures: The primary outcome was POD, assessed daily for 5 days postoperatively using the Confusion Assessment Method algorithm. Baseline cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). Risk estimation accuracy was evaluated using receiver operating characteristic analysis and multivariate logistic regression, adjusting for relevant clinical covariates. Results: Of 504 enrolled patients, 491 completed POD assessment (mean [SD] age, 68.4 [8.3] years; 385 [78.4%] male), of whom 106 (21.6%) developed POD. In multiple linear regression, pTau217 (β = -0.51; 95% CI, -0.89 to -0.12; P = .01) and age (β = -0.12; 95% CI, -0.16 to -0.08; P < .001) remained significant factors associated with lower MoCA scores. Patients who developed POD had higher preoperative Aβ1-40, Aβ1-42, pTau217, and Aβ1-40/Aβ1-42 × pTau217, and lower Aβ1-42/Aβ1-40. Aβ1-40 was the independent biomarker most strongly associated with POD (area under the receiver operating curve [AUC], 0.65; 95% CI, 0.59-0.71; P < .001). Combining biomarkers with clinical factors improved risk estimation (AUC, 0.74; 95% CI, 0.69-0.79; P < .001) compared with clinical factors alone (AUC, 0.73; 95% CI, 0.67-0.78; P < .001). A combined model including MoCA achieved an AUC of 0.77 (95% CI, 0.72-0.82; P < .001), driven primarily by Aβ1-40. Conclusions and Relevance: In this prospective cohort study, preoperative Aβ1-40 showed the strongest association with POD risk among the measured biomarkers. These findings suggest that preoperative plasma Aβ1-40 may contribute to POD risk stratification, but further research is needed to validate these findings and determine clinical utility.

Indexed as

Amyloid beta-PeptidesCardiac Surgical ProceduresDeliriumPeptide FragmentsPostoperative ComplicationsAgedBiomarkersFemaleGermanyHumansMaleMiddle AgedProspective StudiesRisk Factorstau ProteinsAmyloid beta-Peptidesamyloid beta-protein (1-40)BiomarkersPeptide Fragmentstau Proteins

Identifiers

PMID42518233
PMCPMC13416913

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.