Observational studyMolecular psychiatry2026
Prediction of postoperative delirium after cardiac surgery by the interplay between preoperative plasma p-tau181 and IL-6 and heart-brain axis related factors: results from the prospective observational study FINDERI.
Observational study in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Pathophysiology and biomarkers of delirium in older adults-Narrative review.Zeitschrift fur Gerontologie und Geriatrie · 2026Review
- Artificial intelligence in neurocardiology: decoding brain-heart network interactions for clinical and translational insights.Frontiers in neuroscience · 2026Review
- Postoperative diastolic perfusion pressure as a predictor of delirium after cardiac surgery.Frontiers in cardiovascular medicine · 2026Article
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23 authors.
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Abstract
Postoperative delirium (POD) following cardiac surgery is a severe complication. There is evidence of a link between neuroinflammation and neurodegeneration in POD. We investigated the preoperative proinflammatory interleukin-6 (IL-6) and neuronal damage marker phosphorylated tau protein 181 (p-tau181) to POD while considering preoperative heart-brain axis related factors. The prospective FINd DElirium RIsk factors (FINDERI) is an observational study in patients undergoing cardiac surgery. Biomarkers IL-6 and p-tau181 were measured in blood samples. For statistics, we utilized multiple logistic regression analyses and advanced machine learning techniques. In 491 patients, 106 (21.6%) developed POD. The age of patients with POD was significantly higher than that of patients without POD (p < 0.001). Preoperative IL-6 and p-tau181 levels independently predicted POD [IL-6: area under the curve (AUC) = 0.605, p < 0.005; p-tau181: AUC = 0.641, p < 0.0001)]. A multiple logistic regression analysis of preoperative log-transformed biomarkers levels (p-tau181, IL-6), female sex and cognitive performance increased the AUC (0.710, p < 0.0001) in predicting POD. We created a decision tree prediction model including preoperative p-tau181, IL-6, and the severity of mitral valve disease (training data: AUC = 0.672, p < 0.0001; validation data: AUC = 0.642, p < 0.05). The LASSO regression showed an increased AUC in the training (0.751, p < 0.0001) and validation dataset (0.652, p < 0.05). Our results demonstrate that the combined assessment of preoperatively measured p-tau181 and IL-6, preoperative mitral valve disease, cognitive performance and female sex, significantly predicts POD. These findings provide evidence that neuroinflammation and neuronal cell damage are associated with POD.
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