What 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
- Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort
- Authors
- Kim, Y. J. Lee, H. Woo, H. G. Lee, S. W. Hong, M. Jung, E. H. Yoo, S. H. Lee, J. Yon, D. K. Kang, B.
- Year
- 2024
- Journal
- Sci Rep
- Abstract
This study aimed to present a new approach to predict to delirium admitted to the acute palliative care unit. To achieve this, this study employed machine learning model to predict delirium in patients in palliative care and identified the significant features that influenced the model. A multicenter, patient-based registry cohort study in South Korea between January 1, 2019, and December 31, 2020. Delirium was identified by reviewing the medical records based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The study dataset included 165 patients with delirium among 2314 patients with advanced cancer admitted to the acute palliative care unit. Seven machine learning models, including extreme gradient boosting, adaptive boosting, gradient boosting, light gradient boosting, logistic regression, support vector machine, and random forest, were evaluated to predict delirium in patients with advanced cancer admitted to the acute palliative care unit. An ensemble approach was adopted to determine the optimal model. For k-fold cross-validation, the combination of extreme gradient boosting and random forest provided the best performance, achieving the following accuracy metrics: 68.83% sensitivity, 70.85% specificity, 69.84% balanced accuracy, and 74.55% area under the receiver operating characteristic curve. The performance of the isolated testing dataset was also validated, and the machine learning model was successfully deployed on a public website ( http://ai-wm.khu.ac.kr/Delirium/ ) to provide public access to delirium prediction results in patients with advanced cancer. Furthermore, using feature importance analysis, sex was determined to be the top contributor in predicting delirium, followed by a history of delirium, chemotherapy, smoking status, alcohol consumption, and living with family. Based on a large-scale, multicenter, patient-based registry cohort, a machine learning prediction model for delirium in patients with advanced cancer was developed in South Korea. We believe that this model will assist healthcare providers in treating patients with delirium and advanced cancer.
- PMID
PMID: 38769382
PMCID: PMC11106243
- Keywords
Humans
*Delirium/diagnosis/etiology
*Palliative Care/methods
Male
Female
*Neoplasms/complications
*Machine Learning
Aged
*Registries
Middle Aged
Republic of Korea/epidemiology
Cohort Studies
ROC Curve
Aged, 80 and over
Cancer
Delirium
Feature importance
Machine learning
Palliative care
- Page(s)
- Volume
- Issue
| Title | Authors | Journal | Year | Keywords |
|---|---|---|---|---|
| Drug Prescription and Delirium in Older Inpatients: Results From the Nationwide Multicenter Italian Delirium Day 2015-2016. | Aloisi, G. Marengoni, A. Morandi, A. Zucchelli, A. Cherubini, A. Mossello, E. Bo, M. Di Santo, S. G. Mazzone, A. Trabucchi, M. Cappa, S. Fimognari, F. L. Incalzi, R. A. Gareri, P. Perticone, F. Campanini, M. Montorsi, M. Latronico, N. Zambon, A. Bellelli, | J Clin Psychiatry | 2019 | |
| Patient Safety Incidents Describing Patient Falls in Critical Care in North West England Between 2009 and 2017. | Thomas, A. N. Balmforth, J. E. | J Patient Saf | 2019 | |
| Have you SCAND MMe Please? A framework to prevent harm during acute hospitalisation of older persons: A retrospective audit. | Redley, B. Baker, T. | Journal of Clinical Nursing | 2019 |
acute disease |
| Low-Dose Ketamine Infusion to Decrease Postoperative Delirium for Spinal Fusion Patients. | Plyler, S. S. Muckler, V. C. Titch, J. F. Gupta, D. K. Rice, A. N. | J Perianesth Nurs | 2019 |
3d-cam |
| Nurses' experiences of caring for older patients afflicted by delirium in a neurological department. | Kristiansen, S. Konradsen, H. Beck, M. | Journal of Clinical Nursing | 2019 |
adult |
| Association of Delirium Response and Safety of Pharmacological Interventions for the Management and Prevention of Delirium: A Network Meta-analysis. | Wu, Y. C. Tseng, P. T. Tu, Y. K. Hsu, C. Y. Liang, C. S. Yeh, T. C. Chen, T. Y. Chu, C. S. Matsuoka, Y. J. Stubbs, B. Carvalho, A. F. Wada, S. Lin, P. Y. Chen, Y. W. Su, K. P. | JAMA Psychiatry | 2019 | |
| Effect of electroencephalography-guided anesthetic administration on postoperative delirium among older adults undergoing major surgery the engages randomized clinical trial. | Wildes, T. S. Mickle, A. M. Abdallah, A. B. Maybrier, H. R. Oberhaus, J. Budelier, T. P. Kronzer, A. McKinnon, S. L. Park, D. Torres, B. A. Graetz, T. J. Emmert, D. A. Palanca, B. J. Goswami, S. Jordan, K. Lin, N. Fritz, B. A. Stevens, T. W. Jacobsohn, E. | JAMA | 2019 |
NCT02241655 |
| Perioperative Epidural Use and Risk of Delirium in Surgical Patients: A Secondary Analysis of the PODCAST Trial. | Vlisides, P. E. Thompson, A. Kunkler, B. S. Maybrier, H. R. Avidan, M. S. Mashour, G. A. | Anesth Analg | 2019 | |
| Effect of Intravenous Acetaminophen vs Placebo Combined with Propofol or Dexmedetomidine on Postoperative Delirium among Older Patients Following Cardiac Surgery: The DEXACET Randomized Clinical Trial. | Subramaniam, B. Shankar, P. Shaefi, S. Mueller, A. O'Gara, B. Banner-Goodspeed, V. Gallagher, J. Gasangwa, D. Patxot, M. Packiasabapathy, S. Mathur, P. Eikermann, M. Talmor, D. Marcantonio, E. R. | JAMA | 2019 |
NCT02546765 |
| The use of a screening scale improves the recognition of delirium in older patients after cardiac surgery - a retrospective observational study. | Smulter, N. Claesson Lingehall, H. Gustafson, Y. Olofsson, B. Engstrom, K. G. | J Clin Nurs | 2019 |
Assessments scales |
| Incidence and predictors of postoperative delirium in the older acute care surgery population: a prospective study. | Saravana-Bawan, B. Warkentin, L. M. Rucker, D. Carr, F. Churchill, T. A. Khadaroo, R. G. | Canadian Journal of Surgery | 2019 |
aged |
| Association of Duration of Surgery With Postoperative Delirium Among Patients Receiving Hip Fracture Repair. | Ravi, B. Pincus, D. Choi, S. Jenkinson, R. Wasserstein, D. N. Redelmeier, D. A. | JAMA Netw Open | 2019 | |
| Depression Predicts Delirium After Coronary Artery Bypass Graft Surgery Independent of Cognitive Impairment and Cerebrovascular Disease: An Analysis of the Neuropsychiatric Outcomes After Heart Surgery Study. | Oldham, M. A. Hawkins, K. A. Lin, I. H. Deng, Y. Hao, Q. Scoutt, L. M. Yuh, D. D. Lee, H. B. | American Journal of Geriatric Psychiatry | 2019 |
aged |
| Accuracy of the Delirium Observational Screening Scale (DOS) as a screening tool for delirium in patients with advanced cancer. | Neefjes, E. C. W. van der Vorst, Mjdl Boddaert, M. S. A. Verdegaal, Batt Beeker, A. Teunissen, S. C. C. Beekman, A. T. F. Zuurmond, W. W. A. Berkhof, J. Verheul, H. M. W. | BMC Cancer | 2019 |
Delirium |
| The impact of intravenous isotonic and hypotonic maintenance fluid on the risk of delirium in adult postoperative patients: retrospective before-after observational study. | Nagae, M. Egi, M. Furushima, N. Okada, M. Makino, S. Mizobuchi, S. | J Anesth | 2019 |
Delirium |
| Association between delirium, adverse clinical events and functional outcomes in older patients admitted to rehabilitation settings after a hip fracture: A multicenter retrospective cohort study. | Morandi, A. Mazzone, A. Bernardini, B. Suardi, T. Prina, R. Pozzi, C. Gentile, S. Trabucchi, M. Bellelli, G. | Geriatrics & Gerontology International | 2019 |
aged |
| Handover of anesthesia care is associated with an increased risk of delirium in elderly after major noncardiac surgery: results of a secondary analysis. | Liu, G. Y. Su, X. Meng, Z. T. Cui, F. Li, H. L. Zhu, S. N. Wang, D. X. | J Anesth | 2019 |
Delirium |
| 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 |