ArticleScientific reports2018
Neural predisposing factors of postoperative delirium in elderly patients with femoral neck fracture.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Assessment and report of individual symptoms in studies of delirium in postoperative populations: a systematic review.Age and ageing · 2024Pooled it
- Brain network disintegration as a final common pathway for delirium: a systematic review and qualitative meta-analysis.NeuroImage. Clinical · 2019Pooled it
- Clinical clusters during acute illness predict long-term mortality in older patients.BMC medicine · 2025Article
- Fusion of clinical magnet resonance images and electronic health records promotes multimodal predictions of postoperative delirium.Scientific reports · 2025Article
- Postoperative delirium in orthopedic patients - identifying contributing factors and therapeutic strategies: A review.Medicine · 2025Review
- Predilection for Perplexion: Preoperative microstructural damage is linked to postoperative delirium.medRxiv : the preprint server for health sciences · 2025Article
- The impact of perioperative enhanced recovery nursing model on postoperative delirium and rehabilitation quality in elderly patients with femoral neck fractures.BMC musculoskeletal disorders · 2023Article
- The impact of circulatory arrest with selective antegrade cerebral perfusion on brain functional connectivity and postoperative cognitive function.Scientific reports · 2023Article
- Postoperative delirium in geriatric patients with hip fractures.Frontiers in aging neuroscience · 2022Review
- Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures.Frontiers in aging neuroscience · 2022Article
- Neurocognitive disorders in the elderly: altered functional resting-state hyperconnectivities in postoperative delirium patients.Translational psychiatry · 2021Observational
- Treatment effect of elastic intramedullary nail reduction and fixation on children with femoral neck fractures.American journal of translational research · 2021Article
- fMRI network correlates of predisposing risk factors for delirium: A cross-sectional study.NeuroImage. Clinical · 2020Article
- The Effects of Transcranial Direct Current Stimulation on the Cognitive and Behavioral Changes After Electrode Implantation Surgery in Rats.Frontiers in psychiatry · 2019Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elderly adults are more likely to develop delirium after major surgery, but there is limited knowledge of the vulnerability for postoperative delirium. In this study, we aimed to identify neural predisposing factors for postoperative delirium and develop a prediction model for estimating an individual's probability of postoperative delirium. Among 57 elderly participants with femoral neck fracture, 25 patients developed postoperative delirium and 32 patients did not. We preoperatively obtained data for clinical assessments, anatomical MRI, and resting-state functional MRI. Then we evaluated gray matter (GM) density, fractional anisotropy, and the amplitude of low-frequency fluctuation (ALFF), and conducted a group-level inference. The prediction models were developed to estimate an individual's probability using logistic regression. The group-level analysis revealed that neuroticism score, ALFF in the dorsolateral prefrontal cortex, and GM density in the caudate/suprachiasmatic nucleus were predisposing factors. The prediction model with these factors showed a correct classification rate of 86% using a leave-one-out cross-validation. The predicted probability computed from the logistic model was significantly correlated with delirium severity. These results suggest that the three components are the most important predisposing factors for postoperative delirium, and our prediction model may reflect the core pathophysiology in estimating the probability of postoperative delirium.
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