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
- Delirium prediction in the ICU: designing a screening tool for preventive interventions
- Authors
- Bhattacharyya, A. Sheikhalishahi, S. Torbic, H. Yeung, W. Wang, T. Birst, J. Duggal, A. Celi, L. A. Osmani, V.
- Year
- 2022
- Journal
- JAMIA Open
- Abstract
INTRODUCTION: Delirium occurrence is common and preventive strategies are resource intensive. Screening tools can prioritize patients at risk. Using machine learning, we can capture time and treatment effects that pose a challenge to delirium prediction. We aim to develop a delirium prediction model that can be used as a screening tool. METHODS: From the eICU Collaborative Research Database (eICU-CRD) and the Medical Information Mart for Intensive Care version III (MIMIC-III) database, patients with one or more Confusion Assessment Method-Intensive Care Unit (CAM-ICU) values and intensive care unit (ICU) length of stay greater than 24 h were included in our study. We validated our model using 21 quantitative clinical parameters and assessed performance across a range of observation and prediction windows, using different thresholds and applied interpretation techniques. We evaluate our models based on stratified repeated cross-validation using 3 algorithms, namely Logistic Regression, Random Forest, and Bidirectional Long Short-Term Memory (BiLSTM). BiLSTM represents an evolution from recurrent neural network-based Long Short-Term Memory, and with a backward input, preserves information from both past and future. Model performance is measured using Area Under Receiver Operating Characteristic, Area Under Precision Recall Curve, Recall, Precision (Positive Predictive Value), and Negative Predictive Value metrics. RESULTS: We evaluated our results on 16 546 patients (47% female) and 6294 patients (44% female) from eICU-CRD and MIMIC-III databases, respectively. Performance was best in BiLSTM models where, precision and recall changed from 37.52% (95% confidence interval [CI], 36.00%-39.05%) to 17.45 (95% CI, 15.83%-19.08%) and 86.1% (95% CI, 82.49%-89.71%) to 75.58% (95% CI, 68.33%-82.83%), respectively as prediction window increased from 12 to 96 h. After optimizing for higher recall, precision and recall changed from 26.96% (95% CI, 24.99%-28.94%) to 11.34% (95% CI, 10.71%-11.98%) and 93.73% (95% CI, 93.1%-94.37%) to 92.57% (95% CI, 88.19%-96.95%), respectively. Comparable results were obtained in the MIMIC-III cohort. CONCLUSIONS: Our model performed comparably to contemporary models using fewer variables. Using techniques like sliding windows, modification of threshold to augment recall and feature ranking for interpretability, we addressed shortcomings of current models.
- PMID
- Keywords
artificial intelligence
clinical decision support
delirium
machine learning
nursing assessment
predictive modeling
- Page(s)
- Volume
- Issue
Title | Authors | Journal | Year | Keywords |
---|---|---|---|---|
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 |