Delirium Bibliography

Delirium Bibliography books graphicWhat is the Delirium Bibliography? The searchable Delirium Bibliography page is one of our most popular features, allowing you to quickly gain access to the literature on delirium and acute care of older persons. It is primarily intended for clinicians and researchers interested in exploring these topics. The NIDUS team keeps it updated for you on a monthly basis!

How to Search for Articles: Search by author, title, year, and/or keywords. Each article is indexed by keywords taken from MEDLINE and other relevant databases. Click on the title of the article to read the abstract, journal, etc.

Reference Information

Title
Physical activity may a probably protective factor for postoperative delirium: the PNDABLE study
Authors
Kong, J. Lin, X. Wang, B. Xu, S. Wang, Y. Hua, S. Gong, H. Dong, R. Lin, Y. Li, C. Bi, Y.
Year
2024
Journal
Front Aging Neurosci
Abstract

OBJECTIVE: This study aims to explore the relationship between physical activity (PA) and postoperative delirium (POD). METHODS: We selected 400 patients from the Perioperative Neurocognitive Disorder and Biomarkers Lifestyle (PNDABLE) database, and the patients in the PNDABLE database were sampled and tested Alzheimer’s biomarkers. The diagnosis of POD was made using the Confusion Assessment Scale (CAM) and the severity was assessed using Memorial Delirium Assessment Scale (MDAS). Mini-Mental State Examination (MMSE) scale was used to detect the mental state of the patients. Enzyme-linked immunosorbent assay (ELISA) was used to detect the level of preoperative cerebrospinal fluid (CSF) biomarkers, such as amyloid β plaque 42 (Aβ42), total tau protein (T-tau), and phosphorylated tau protein (P-tau). Logistic regression, sensitivity analysis, and post hoc analysis were used to explore the relationship between risk and protective factors on POD. We used the mediating effect to explore whether PA mediates the occurrence of POD through CSF biomarkers. RESULTS: The incidence of POD was 17.5%. According to our research, the consequence prompted that PA might be the protective factor for POD [odds ratio (OR): 0.336, 95% confidence interval (95 CI) 0.206-0.548, P < 0.001]. The result of logistic regression revealed that CSF biomarker Aβ42 (OR: 0.997, 95 CI 0.996-0.999, P < 0.001) might be a protective factor against POD, and the T-tau (OR: 1.006, 95 CI 1.003-1.009, P = 0.001) and P-tau (OR: 1.039, 95 CI 1.018-1.059, P < 0.001) might risk factors for POD. Sensitivity analysis confirmed the correlation between PA and CSF biomarkers in the patients with POD. Mediation effect analysis showed that PA may reduce the occurrence of POD partly through CSF biomarkers, such as Aβ42 (proportion: 11%, P < 0.05), T-tau (proportion: 13%, P < 0.05), and P-tau (proportion: 12%, P < 0.05). CONCLUSION: Physical activity is probably a protective factor for POD and may exert a mediating effect through CSF biomarkers.

PMID

PMID: 38633981

PMCID: PMC11021714

Keywords

Alzheimer-related biomarkers
cerebrospinal fluid
physical activity
postoperative complications
postoperative delirium

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Total Records Found: 6201, showing 100 per page
TitleAuthorsJournalYearKeywords
Undiagnosed delirium is frequent and difficult to predict: Results from a prevalence survey of a tertiary hospital. Lange, P. W. Lamanna, M. Watson, R. Maier, A. B. J Clin Nurs 2019

Undiagnosed delirium
delirium
delirium diagnosis
delirium epidemiology
delirium prevention and control