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
- Combining biomarkers of BNIP3 L, S100B, NSE and accessible measures to prediction sepsis-associated encephalopathy: a prospective observational study
- Authors
- Zhang, N. Xie, K. Yang, F. Wang, Y. Yang, X. Zhao, L.
- Year
- 2024
- Journal
- Curr Med Res Opin
- Abstract
BACKGROUND: Accurate identification of delirium in sepsis patients is crucial for guiding clinical diagnosis and treatment. However, there are no accurate biomarkers and indicators at present. We aimed to identify which combinations of cognitive impairment-related biomarkers and other easily accessible assessments best predict delirium in sepsis patients. METHODS: 101 sepsis patients were enrolled in a prospective study cohort. S100B, NSE, and BNIP3 L biomarkers were detected in plasma and cerebrospinal fluid and patients’ optic nerve sheath diameter (ONSD). The optimal biomarkers identified by Logistic regression are combined with other factors such as ONSD to filter out the perfect model to predict delirium in sepsis patients through Logistic regression, Naïve Bayes, decision tree, and neural network models. MAIN RESULTS: Among all biomarkers, compared with BNIP3 L (AUC 0.706, 95% CI 0.597-0.815) and NSE (0.711, 95% CI 0.609-0.813) in cerebrospinal fluid, plasma S100B (AUC 0.729, 95% CI 0.626-0.832) had the best discrimination performance for delirium in sepsis patients. Logistic regression analysis showed that the combination of cerebrospinal fluid BNIP3 L with plasma S100B, ONSD, neutrophils, and age provided the best discrimination to cognitive impairment in sepsis patients (accuracy:0.901, specificity: 0.923, sensitivity:0.911), which was better than Naïve Bayes, decision tree and neural network models. Neutrophils, ONSD, and cerebrospinal fluid BNIP3 L were consistently the major contributors in a few models. CONCLUSIONS: The Logistic regression showed that combination model was strongly correlated with cognitive dysfunction in sepsis patients.
- PMID
PMID:38385550
- Keywords
Bnip3 l
ChiCTR2200056351
Nse
Optic nerve sheath
Registered 4 February 2022 Retrospectively registered. Registered name:
establishment of a multi-modal early warning system for sepsis associated
encephalopathy
S100b
Sepsis
Sepsis-associated delirium
- Page(s)
- Volume
- Issue
| Title | Authors | Journal | Year | Keywords |
|---|---|---|---|---|
| Impact of delirium on acute stroke outcomes: A systematic review and meta-analysis | Gong, X. Jin, S. Zhou, Y. Lai, L. Wang, W. | Neurol Sci | 2024 |
Acute stroke, Encephalopathy, Functional outcomes, Hospital admission, Mortality, Post-stroke delirium, Readmission rate |
| The prognostic validity of delirium severity as measured by Delirium Observation Screening Scale (DOS scale) on adverse outcomes | Gray, E. A. Ranasinghe, C. Lin, H. S. | Australas J Ageing | 2024 |
confusion, delirium, frailty, morbidity, prognosis |
| The Relationship Between Uncertainty and Psychological Distress Among Family Caregivers of Patients With Delirium in Intensive Care Units: A Cross-Sectional Survey | Haji Assa, A. Cao, X. Boehm, L. M. Umberger, R. A. Carter, M. A. | Dimens Crit Care Nurs | 2024 |
Adult, Humans, Caregivers, Cross-Sectional Studies, Uncertainty, Intensive Care Units, Family/psychology, Psychological Distress, Delirium, Stress, Psychological |
| The Relationship Between Uncertainty and Psychological Distress Among Family Caregivers of Patients With Delirium in Intensive Care Units: A Cross-Sectional Survey | Haji Assa, A. Cao, X. Boehm, L. M. Umberger, R. A. Carter, M. A. | Dimens Crit Care Nurs | 2024 |
Adult, Humans, Caregivers, Cross-Sectional Studies, Uncertainty, Intensive Care Units, Family/psychology, Psychological Distress Delirium, Stress, Psychological |
| Effects of liposomal bupivacaine in preoperative fascia iliac block on postoperative pain and delirium in elderly patients undergoing hip fracture surgery: a study protocol for a randomised, parallel controlled prospective clinical study | Hao, Y. Li, W. Zheng, M. Li, X. Wu, X. Yu, Z. Liu, S. Li, J. Xu, H. | BMJ Open | 2024 |
Aged, Humans, Prospective Studies, China, Hip Fractures/surgery |
| Delirium Prevention in Early Rehabilitation During Acute Hospitalization and Implementation of Programs Specifically Tailored to Older Patients with Cognitive Impairment: A Scoping Review with Meta-Analysis | Hauer, K. Dutzi, I. Werner, C. Bauer, J. Ullrich, P. | J Alzheimers Dis | 2024 |
Humans, Aged, Aged, 80 and over, Delirium/prevention & control/epidemiology |
| Association Between Preoperative Long-Term Poor Sleep Quality and Postoperative Delirium in Elderly Patients Undergoing Cardiac Surgery: A Multi-Center Observational Study | Huang, Z. Huang, C. Deng, Y. Lu, H. Shi, L. | Am Surg | 2024 |
Postoperative delirium, cardiac surgery, elderly patients, preoperative sleep quality, sleep disorders |
| Ishibashi, Y. Sogawa, R. Ogata, K. Matsuoka, A. Yamada, H. Murakawa-Hirachi, T. Mizoguchi, Y. Monji, A. Shimanoe, C. | Association Between Antidiabetic Drugs and Delirium: A Study Based on the Adverse Drug Event Reporting Database in Japan | Clin Drug Investig | 2024 |
Humans, Hypoglycemic Agents/adverse effects, Japan/epidemiology, Diabetes Mellitus/chemically induced/drug therapy/epidemiology, Drug-Related Side Effects and Adverse Reactions, Sulfonylurea Compounds/adverse effects, Insulin, Delirium/chemically induced/epidemiology, Adverse Drug Reaction Reporting Systems |
| Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium | Ivanisenko, V. A. Basov, N. V. Makarova, A. A. Venzel, A. S. Rogachev, A. D. Demenkov, P. S. Ivanisenko, T. V. Kleshchev, M. A. Gaisler, E. V. Moroz, G. B. Plesko, V. V. Sotnikova, Y. S. Patrushev, Y. V. Lomivorotov, V. V. Kolchanov, N. A. Pokrovsky, A. G | Vavilovskii Zhurnal Genet Selektsii | 2023 |
ANDSystem, Lc-ms/ms, biomarkers, cardiac surgery, gene networks, lipidomics, metabolomics, postoperative delirium, sphingolipids |
| Serum neurofilament light and postoperative delirium in cardiac surgery: a preplanned secondary analysis of a prospective observational study | Khalifa, C. Robert, A. Cappe, M. Lemaire, G. Tircoveanu, R. Dehon, V. Ivanoiu, A. Piérard, S. de Kerchove, L. Jacobs Sariyar, A. Teunissen, C. E. Momeni, M. | Anesthesiology | 2024 |
delirium, postoperative, cognitive function, serum neurofilament, cardiac surgery |
| Differential effects of sevoflurane and desflurane on frontal intraoperative electroencephalogram dynamics associated with postoperative delirium | Kim, Y. S. Kim, J. Park, S. Kim, K. N. Ha, Y. Yi, S. Shin, D. A. Kuh, S. U. Lee, C. K. Koo, B. N. Kim, S. E. | J Clin Anesth | 2024 |
Humans, Aged, Sevoflurane/adverse effects, Desflurane/adverse effects, Anesthetics, Inhalation/adverse effects, Emergence Delirium/chemically induced, Isoflurane/adverse effects, Methyl Ethers/adverse effects, Electroencephalography, Delirium, Desflurane, Electroencephalogram, Prefrontal connectivity, Sevoflurane |
| Machine learning methods for developing a predictive model of the incidence of delirium in cardiac intensive care units | Ko, R. E. Lee, J. Kim, S. Ahn, J. H. Na, S. J. Yang, J. H. | Rev Esp Cardiol (Engl Ed) | 2024 |
Cardiac intensive care unit, Delirium prediction, Machine learning, Risk model |
| Target flow deviations on the cardiopulmonary bypass cause postoperative delirium in cardiothoracic surgery-a retrospective study evaluating temporal fluctuations of perfusion data | Krefting, J. Gorki, H. Hoenicka, M. Albrecht, G. Kraft, R. Liebold, A. | Interdiscip Cardiovasc Thorac Surg | 2024 |
Algorithm-based data processing, Cardiac surgery, Cardiopulmonary bypass, Postoperative delirium, Target flow deviations |
| Comparative evaluation of intraoperative dexmedetomidine versus lidocaine for reducing postoperative cognitive decline in the elderly: a prospective randomized controlled trial | Kurup, M. T. Sarkar, S. Verma, R. Bhatia, R. Khanna, P. Maitra, S. Anand, R. Ray, B. R. Singh, A. K. Deepak, K. K. | Anaesthesiol Intensive Ther | 2023 |
Aged, Humans, Anesthetics, Inhalation, Delirium, Dexmedetomidine/therapeutic use, Interleukin-1, Interleukin-6, Lidocaine/therapeutic use, Postoperative Cognitive Complications/prevention & control, Postoperative, Complications/epidemiology/prevention & control, Prospective Studies, Middle,, Aged, Aged, 80 and over, dexmedetomidine, elderly, lidocaine, postoperative cognitive dysfunction, abdominal surgery |
| The effectiveness of preoperative delirium prevention in intermediate to high-risk older surgical patients: A systematic review | Lay, N. Foley, P. Allen, J. | J Clin Nurs | 2024 |
older adults, older surgical patients, preoperative delirium prevention, systematic review |
| Predictive Value of the Duke Anesthesia Resistance Scale in Postoperative Delirium among Elderly Patients with Hip Fractures | Lei, Z. Zhang, L. Yang, J. Ye, L. Xia, L. | Altern Ther Health Med | 2024 |
postoperative delirium, elderly, hip fracture, anesthesia resistance, delirium |
| A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records | Li, Q. Li, J. Chen, J. Zhao, X. Zhuang, J. Zhong, G. Song, Y. Lei, L. | BMC Cardiovasc Disord | 2024 |
Humans, Emergence Delirium, Electronic Health Records, Bayes Theorem, Cardiac Surgical Procedures/adverse effects, Heart Valves, Machine Learning, Cardiac valve surgery, Postoperative delirium, Prediction model, Random Forest Classifier |
| Promising Effects of Montelukast for Critically Ill Asthma Patients via a Reduction in Delirium | Li, Y. Zhang, M. Zhang, S. Yang, G. | Pharmaceuticals (Basel) | 2024 |
critical illness, delirium, leukotriene, montelukast |
| Is there a difference between preoperative and postoperative delirium in elderly hip fracture patients?: A retrospective case control study | Lim, C. Roh, Y. H. Park, Y. G. Lee, J. Nam, K. W. | Medicine (Baltimore) | 2024 |
Aged, Humans, Emergence Delirium, Retrospective Studies, Case-Control Studies, Hip Fractures/complications/surgery, Postoperative, Complications/epidemiology, Risk Factors |
| Effect of esketamine on postoperative analgesia and postoperative delirium in elderly patients undergoing gastrointestinal surgery | Liu, J. Wang, T. Song, J. Cao, L. | BMC Anesthesiol | 2024 |
Humans, Aged, Sufentanil, Pain, Postoperative/drug therapy/chemically induced, Emergence Delirium/drug therapy, Digestive System Surgical Procedures, Interleukin-6, Analgesia, Patient-Controlled, Anti-Inflammatory, Agents/therapeutic use, Analgesics, Opioid, Ketamine, Anti-inflammatory, Esketamine, Postoperative analgesia, Postoperative delirium |
| Association between human blood metabolome and the risk of delirium: a Mendelian Randomization study | Long, C. Lin, D. Zhang, L. Lin, Y. Yao, Q. Zhang, G. Li, L. Liu, H. Ying, J. Wang, X. Hua, F. | Front Endocrinol (Lausanne) | 2023 |
Humans, Aged, Cholesterol, LDL, Risk Factors, Mendelian Randomization, Analysis/methods, Genome-Wide Association Study/methods, Sphingomyelins, Delirium/genetics, Mendelian Randomization, delirium, genome-wide association study, metabolites, phenotype-wide study |
| Association of postoperative delirium with serum and cerebrospinal fluid proteomic profiles: a prospective cohort study in older hip fracture patients | Lozano-Vicario, L. Muñoz-Vázquez Á, J. Ramírez-Vélez, R. Galbete-Jiménez, A. Fernández-Irigoyen, J. Santamaría, E. Cedeno-Veloz, B. A. Zambom-Ferraresi, F. Van Munster, B. C. Ortiz-Gómez, J. R. Hidalgo-Ovejero Á, M. Romero-Ortuno, R. Izquierdo, | Geroscience | 2024 |
Biomarkers, Cxcl9, Cognitive impairment, Delirium, Hip fracture, Neuroinflammation |
| Risk factors for postoperative delirium in patients with Stanford type A aortic dissection: a systematic review and meta-analysis | Lu, S. Jiang, Y. Meng, F. Xie, X. Wang, D. Su, Y. | J Cardiothorac Surg | 2024 |
Humans, Emergence Delirium, Risk Factors, Aortic Dissection/surgery, Renal Insufficiency, Azides, Deoxyglucose/*analogs & derivatives, Aortic dissection, Delirium, Meta-analysis, Risk factor |
| Exploring patients' and families' preferences for auditory stimulation in ICU delirium prevention: A qualitative study | Ma, Y. Cui, N. Guo, Z. Zhang, Y. Jin, J. | Intensive Crit Care Nurs | 2024 |
critical care, Delirium, Intensive care units, Qualitative research |
| Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department Data | Matsumoto, K. Nohara, Y. Sakaguchi, M. Takayama, Y. Yamashita, T. Soejima, H. Nakashima, N. | Stud Health Technol Inform | 2024 |
Humans, Airway Extubation, Emergency Service, Hospital, Machine Learning, Restraint, Physical, Delirium/diagnosis, delirium, self-extubation after delirium |
| Risk factors, preventive interventions, overlapping symptoms, and clinical measures of delirium in elderly patients | Mei, X. Liu, Y. H. Han, Y. Q. Zheng, C. Y. | World J Psychiatry | 2023 |
Clinical practice, delirium, Preventive interventions, Research progress, Review, Risk factors |
| Preoperative prognostic nutritional index value as a predictive factor for postoperative delirium in older adult patients with hip fractures: a secondary analysis | Mi, X. Jia, Y. Song, Y. Liu, K. Liu, T. Han, D. Yang, N. Wang, G. Guo, X. Yuan, Y. Li, Z. | BMC Geriatr | 2024 |
Humans, Aged, Nutrition Assessment, Emergence Delirium, Delirium/diagnosis/epidemiology/etiology, Prognosis, Prospective Studies, Cohort Studies, Postoperative Complications/diagnosis/epidemiology/etiology, Hip Fractures/complications/epidemiology/surgery, Risk Factors, Hip fracture, Nutritional status, Older adult patients, Postoperative delirium, Prognostic nutritional index |
| Long-term outcomes with haloperidol versus placebo in acutely admitted adult ICU patients with delirium | Mortensen, C. B. Andersen-Ranberg, N. C. Poulsen, L. M. Granholm, A. Rasmussen, B. S. Kjær, M. N. Lange, T. Ebdrup, B. H. Collet, M. O. Andreasen, A. S. Bestle, M. H. Uslu, B. Pedersen, H. S. Nielsen, L. G. Hästbacka, J. Jensen, T. B. Damgaard, K. Somme | Intensive Care Med | 2024 |
Adult, Humans, Delirium/drug therapy, Haloperidol/therapeutic use, Hospitalization, Intensive Care Units, Quality of Life |
| Association of sleep quality on the night of operative day with postoperative delirium in elderly patients: A prospective cohort study | Ou-Yang, C. L. Ma, L. B. Wu, X. D. Ma, Y. L. Liu, Y. H. Tong, L. Li, H. Lou, J. S. Cao, J. B. Mi, W. D. | Eur J Anaesthesiol | 2024 |
Aged, Humans, Male, Acute Kidney Injury, Cardiovascular Infections/complications, Delirium/diagnosis/epidemiology/etiology, Emergence Delirium/diagnosis/epidemiology/etiology, Postoperative, Complications/diagnosis/epidemiology/etiology, Prospective Studies, Risk Factors, Sleep Quality, Stroke, Female |
| Multicentre implementation of a quality improvement initiative to reduce delirium in adult intensive care units: An interrupted time series analysis | Owen, V. S. Sinnadurai, S. Morrissey, J. Colaco, H. Wickson, P. Dyjur, D. Redlich, M. O'Neill, B. Zygun, D. A. Doig, C. J. Harris, J. Zuege, D. J. Stelfox, H. T. Faris, P. D. Fiest, K. M. Niven, D. J. | J Crit Care | 2024 |
Critical care, Delirium, Implementation science, Interrupted time series analysis, Patient care bundles |
| Preoperative mild cognitive impairment as a risk factor of postoperative cognitive dysfunction in elderly patients undergoing spine surgery | Park, S. Kim, J. Ha, Y. Kim, K. N. Yi, S. Koo, B. N. | Front Aging Neurosci | 2024 |
aged, cognitive dysfunction, delirium, neurocognitive disorders, perioperative care, postoperative cognitive complications |
| Association of preoperative blood glucose level with delirium after non-cardiac surgery in diabetic patients | Park, S. J. Oh, A. R. Lee, J. H. Yang, K. Park, J. | Korean J Anesthesiol | 2024 |
Acute hyperglycemia, Chronic hyperglycemia, Hyperglycemia, Mortality, Non-cardiac surgery, Postoperative delirium |
| Delirium detection tools show varying completion rates and positive score rates when used at scale in routine practice in general hospital settings: A systematic review | Penfold, R. S. Squires, C. Angus, A. Shenkin, S. D. Ibitoye, T. Tieges, Z. Neufeld, K. J. Avelino-Silva, T. J. Davis, D. Anand, A. Duckworth, A. D. Guthrie, B. MacLullich, A. M. J. | J Am Geriatr Soc | 2024 |
delirium, detection, geriatric assessment, hospitals, older people, routine data, systematic review |
| EEG biomarkers from anesthesia induction to identify vulnerable patients at risk for postoperative delirium | Pollak, M. Leroy, S. Röhr, V. Brown, E. N. Spies, C. Koch, S. | Anesthesiology | 2024 |
delirium, EEG, anesthesia, postoperative delirium, propofol |
| The prognosis of delirium in older outpatients | Quispel-Aggenbach, D. W. Zuidema, S. U. Luijendijk, H. J. | Psychogeriatrics | 2024 |
delirium, elderly, older patient, prevalence, prognosis, risk factors |
| Association of Postoperative Delirium With Incident Dementia and Graft Outcomes Among Kidney Transplant Recipients | Ruck, J. M. Chu, N. M. Liu, Y. Li, Y. Chen, Y. Mathur, A. Carlson, M. C. Crews, D. C. Chodosh, J. Segev, D. L. McAdams-DeMarco, M. | Transplantation | 2024 |
Humans, United States/epidemiology, Aged, Middle Aged, Kidney, Transplantation/adverse effects, Emergence Delirium/complications, Kidney Failure, Chronic/diagnosis/surgery/complications, Risk Factors, Transplant Recipients, Dementia/diagnosis/epidemiology/etiology, Graft Survival |
| Irreversible postoperative cognitive impairment after unruptured intracranial aneurysm treatment in the elderly | Sakurada, K. Ikedo, T. Hosokawa, Y. Sugasawa, S. Shimonaga, K. Kushi, Y. Niwa, A. Ozaki, S. Hattori, E. Y. Hamano, E. Yamada, K. Imamura, H. Mori, H. Iihara, K. Kataoka, H. | Acta Neurochir (Wien) | 2024 |
Aged, Humans, Middle Aged, Postoperative Cognitive Complications, Intracranial Aneurysm, Retrospective Studies, Cognition, Executive Function, Delirium, Older patient, Postoperative cognitive dysfunction, Postoperative cognitive recovery, Unruptured intracranial aneurysm |
| Random forest algorithm for predicting postoperative delirium in older patients | Sheng, W. Tang, X. Hu, X. Liu, P. Liu, L. Miao, H. Wang, D. Li, T. | Front Neurol | 2023 |
confusion matrix, older patient, partial dependence graph, postoperative delirium, random forest |
| Role of supplemental regional blocks on postoperative neurocognitive dysfunction after major non-cardiac surgeries: a systematic review and meta-analysis of randomized controlled trials | Singh, N. P. Makkar, J. K. Borle, A. Singh, P. M. | Reg Anesth Pain Med | 2024 |
Adult, Humans, Randomized Controlled Trials as Topic, Anesthesia, Conduction, Analgesia/methods, Delirium, Postoperative Cognitive, Complications/diagnosis/prevention & control, Outcome Assessment, Health Care, Pain, Postoperative, Treatment Outcome, analgesia |
| Early postoperative neurocognitive complications in elderly patients: comparing those with and without preexisting mild cognitive impairment- a prospective study | Somnuke, P. Srishewachart, P. Jiraphorncharas, C. Khempetch, A. Weeranithan, J. Suraarunsumrit, P. Srinonprasert, V. Siriussawakul, A. | BMC Geriatr | 2024 |
Aged, Humans, Prospective Studies, Postoperative, Complications/diagnosis/epidemiology/etiology, Cognitive, Dysfunction/diagnosis/epidemiology, Emergence Delirium, Postoperative Cognitive Complications/diagnosis/epidemiology/etiology, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), Elderly, Mild cognitive impairment (MCI), Montreal Cognitive Assessment (MoCA), Postoperative cognitive dysfunction (POCD), Postoperative delirium (POD) |
| Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations | Song, Y. Zhang, D. Wang, Q. Liu, Y. Chen, K. Sun, J. Shi, L. Li, B. Yang, X. Mi, W. Cao, J. | Transl Psychiatry | 2024 |
Aged, Humans, Emergence Delirium, Retrospective Studies, Algorithms, Hip Fractures/surgery, Machine Learning |
| Preoperative prognostic nutritional index predicts postoperative delirium in aged patients after surgery: A matched cohort study | Song, Y. X. Wang, Q. Ma, Y. L. Chen, K. S. Liu, M. Zhou, X. F. Zhao, H. Lou, J. S. Li, H. Liu, Y. H. Mi, W. D. Cao, J. B. | Gen Hosp Psychiatry | 2024 |
Humans, Aged, Nutrition Assessment, Emergence Delirium, Retrospective Studies, Prognosis, Cohort Studies, Nutritional Status, Aged patients, Biomarker, Postoperative delirium, Prognostic nutritional index |
| Investigating the correlation of delirium after cardiac surgery with memories and posttraumatic stress disorder consequences of intensive care unit: A prospective cohort study | Su, L. J. Chen, M. J. Yang, R. Zou, H. Chen, T. T. Li, S. L. Xin, H. N. Hu, R. F. | Intensive Crit Care Nurs | 2024 |
Cardiac surgery, Delirium, Intensive care unit, Memory, Posttraumatic stress disorder |
| Effect of Delirium on Interhospital Transfer Outcomes | Thomas, M. K. Kalivas, B. Zhang, J. Marsden, J. Mauldin, P. D. Moran, W. P. Hunt, K. Heincelman, M. | South Med J | 2024 |
Adult, Humans, Retrospective Studies, Patient Transfer, Hospitalization, Length of Stay, Hospital Mortality, Delirium/epidemiology, Emergency Service, Hospital |
| Impaired glucose utilization in the brain of patients with delirium following hip fracture | Titlestad, I. Watne, L. O. Caplan, G. A. McCann, A. Ueland, P. M. Neerland, B. E. Myrstad, M. Halaas, N. B. Pollmann, C. T. Henjum, K. Ranhoff, A. H. Solberg, L. B. Figved, W. Cunningham, C. Giil, L. M. | Brain | 2024 |
Humans, Aged, 80 and over, Glucose/metabolism, Acetoacetates |
| Types, predictors, and consequences of medicines related problems (MRPs) in frail older adults admitted to hospital from primary care - A retrospective cohort study | Ude-Okeleke, R. C. Aslanpour, Z. Dhillon, S. Berry, R. Bines, E. Umaru, N. | Explor Res Clin Soc Pharm | 2024 |
Delirium, Deterioration, Frailty, Hospitalization, MRPs, Older people, Primary care |
| Development and Usability Testing of a Mobile App-Based Clinical Decision Support System for Delirium: Randomized Crossover Trial | Wang, J. Ji, M. Han, Y. Wu, Y. | JMIR Aging | 2024 |
Humans, Aged, Delirium/diagnosis, Cross-Over Studies, Mobile Applications, Decision Support Systems, Clinical, User-Centered Design, User-Computer, Interface, Reproducibility of Results, 3-Minute Diagnostic Interview for Confusion Assessment Method-Defined Delirium, 3d-cam, clinical decision, support system, delirium, nurse, older adults |
| Risk factors for dementia in older intensive care unit (ICU) survivors | Wang, S. Perkins, A. J. Chi, R. Yates, B. A. Khan, S. H. Gao, S. Boustani, M. Khan, B. A. | Alzheimers Dement | 2024 |
Humans, Female, Aged, Middle Aged, Male, Delirium/epidemiology/etiology, Prospective Studies, Intensive Care Units, Risk Factors, Stroke/complications, Dementia/epidemiology/complications, Survivors, Alzheimer’s disease, critical illness, delirium, dementia, depression, intensive care unit, stroke |
| Geriatric nutritional risk index independently predicts delirium in older patients in intensive care units: A multicenter cohort study | Wei, F. Cheng, H. He, R. Yang, X. Hu, Z. Lyu, J. Wang, Y. | Arch Gerontol Geriatr | 2024 |
Humans, Aged, Nutritional Status, Malnutrition/complications/diagnosis/epidemiology, Nutrition Assessment |
| The RAPID-score: Risk Assessment and PredIction of Delirium in acute stroke patients based on very early clinical parameters | Wischmann, J. Kremer, P. Hinske, L. Tomasi, R. Becker-Pennrich, A. S. Kellert, L. | Front Neurol | 2023 |
acute stroke, delirium, intensive care unit, post-stroke delirium, prediction score, stroke unit |
| Assessing patterns of delirium symptoms reveals a novel subtype among elective surgical patients with postoperative delirium | Yang, L. Do, Q. Zhu, X. Leung, J. M. Sands, L. P. | Int J Geriatr Psychiatry | 2024 |
Humans, Emergence Delirium/complications, Delirium/diagnosis/epidemiology/etiology, Postoperative, Complications/epidemiology, Psychomotor Agitation/diagnosis, Elective Surgical Procedures/adverse effects, Risk Factors, aging, delirium subtypes, elective surgery, postoperative delirium |
| Efficacy of dexmedetomidine combined with ropivacaine on postoperative analgesia and delirium in elderly patients with total knee arthroplasty | Ye, Z. H. Li, Y. Wu, X. P. Yu, Z. Ma, Z. R. Hai, K. R. Ye, Q. S. | J Robot Surg | 2024 |
Aged, Humans, Arthroplasty, Replacement, Knee/adverse effects, Dexmedetomidine/therapeutic use, Ropivacaine, Emergence Delirium, Robotic Surgical Procedures/methods, Analgesia, Dexmedetomidine, Postoperative analgesia, Postoperative delirium, Total knee arthroplasty |
| Delirium is associated with failure to rescue after cardiac surgery | A. M. Strobel, R. J. Kaplan, E. Norman, A. V. Ahmad, R. Kern, J. Yarboro, L. Yount, K. Hulse, M. Teman, N. R. | JTCVS OpenYoung | 2023 |
delirium, failure to rescue, perioperative care, CAM ICU, cardiac surgery |
| The Effect of Central Sensitization on Postoperative Neurocognitive Dysfunction in Hospitalized Elderly Patients: A Prospective Cohort Clinical Trial | Yu, L. Yang, D. Zhou, Q. Yin, C. Zhang, Q. Li, W. Yu, J. Wang, Q. | Exp Aging Res | 2024 |
Aged, Humans, Central Nervous System Sensitization, Prospective Studies, Aging, Propofol, Mental Status and Dementia Tests |
| Peripheral nerve block and cognitive impairment after thoracic surgery: a systematic review and meta-analysis | Zhang, Y. Liu, M. He, J. Zhang, H. Zhang, M. Li, J. | Minerva Anestesiol | 2024 |
postoperative cognitive impairment, cognitive dysfunction, thoracic surgery, nerve block, surgery |
| Preoperative cognitive training improves postoperative cognitive function: a meta-analysis and systematic review of randomized controlled trials | Zhao, L. Guo, Y. Zhou, X. Mao, W. Li, L. | Front Neurol | 2023 |
cognitive function training, cognitive training, meta-analysis, perioperative neurocognitive disorders, postoperative cognitive dysfunction, postoperative delirium |
| Enhancing delirium assessment and management through nursing education interventions: A scoping review | Zhao, Y. Missbrenner, N. Xu, H. D. Josephson, J. | Nurse Educ Pract | 2024 |
Delirium assessment, Delirium management, Nurse education, Nursing education intervention |
| Enhancing delirium assessment and management through nursing education interventions: A scoping review | Zhao, Y. Missbrenner, N. Xu, H. D. Josephson, J. | Nurse Educ Pract | 2024 |
Delirium assessment |
| Different Sedation Strategies in Older Patients Receiving Spinal Anesthesia for Hip Surgery on Postoperative Delirium: A Randomized Clinical Trial | Zhu, S. Liu, Y. Wang, X. Wang, L. Li, J. Xue, X. Li, Z. Liu, J. Liu, X. Zhao, S. | Drug Des Devel Ther | 2023 |
Humans, Aged, Propofol/adverse effects, Emergence Delirium, Hypnotics and Sedatives/adverse effects, Dexmedetomidine/adverse effects, Anesthesia, Spinal/adverse effects, Delirium/etiology, Postoperative Complications/epidemiology, anesthetics, hip surgery, propofol, spinal anesthesia |
| Frailty and post-operative delirium influence on functional status in patients with hip fracture: the GIOG 2.0 study | Gandossi, C. M. Zambon, A. Ferrara, M. C. Tassistro, E. Castoldi, G. Colombo, F. Mussi, C. Martini, E. Sergi, G. Coin, A. Zatti, G. Trevisan, C. Volpato, S. Ungar, A. Bellelli, G. | Aging Clin Exp Res | 2023 |
Humans |
| Associations between Alzheimer's disease biomarkers and postoperative delirium or cognitive dysfunction: A meta-analysis and trial sequential analysis of prospective clinical trials | Geng, J. Zhang, Y. Chen, H. Shi, H. Wu, Z. Chen, J. Luo, F. | Eur J Anaesthesiol | 2023 | |
| Delirium in oncological palliative care and clinical cardiology units: A comparative analysis | Grisales, E. S. Higuita, A. M. Correa, M. E. Gómez, J. J. V. González, C. P. Daveloza, A. K. Vásquez, J. G. F. | Palliat Support Care |
Humans |
|
| Risk Factors and Associated Outcomes of Postoperative Delirium After Open Abdominal Aortic Aneurysm Repair | Gutierrez, R. D. Smith, E. J. T. Matthay, Z. A. Gasper, W. J. Hiramoto, J. S. Conte, M. S. Finlayson, E. Walter, L. C. Iannuzzi, J. C. | J Vasc Surg | 2023 |
abdominal aortic aneurysm (AAA) |
| Effect of preoperative sleep disorders on delirium in proximal femoral surgery patients aged 60 or older | Han, F. Liu, X. Huang, H. Chu, H. Feng, W. | BMC Anesthesiol | 2023 |
Humans |
| Electroencephalogram measured functional connectivity for delirium detection: a systematic review | Hanna, A. Jirsch, J. Alain, C. Corvinelli, S. Lee, J. S. | Front Neurosci | 2023 |
Eeg |
| Development and evaluation of a concise nurse-driven non-pharmacological delirium reduction workflow for hospitalized patients: An interrupted time series study | Harrison, J. D. Rathfon, M. Binford, S. Miranda, J. Oreper, S. Holt, B. Rogers, S. E. | Geriatr Nurs | 2023 |
Delirium |
| Predicting postoperative delirium after cardiovascular surgeries from preoperative portable electroencephalography oscillations | Hata, M. Miyazaki, Y. Nagata, C. Masuda, H. Wada, T. Takahashi, S. Ishii, R. Miyagawa, S. Ikeda, M. Ueno, T. | Front Psychiatry | 2023 |
Eeg |
| Lower alpha frequency of intraoperative frontal EEG is associated with postoperative delirium: A secondary propensity-matched analysis | Hight, D. Ehrhardt, A. Lersch, F. Luedi, M. M. Stüber, F. Kaiser, H. A. | J Clin Anesth | 2023 |
Alpha rhythm |
| Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty | Hu, W. Song, Z. Shang, H. Wang, J. Hao, Y. | Front Nutr | 2023 |
inflammatory markers |
| Evaluation of brain nerve function in ICU patients with Delirium by deep learning algorithm-based resting state MRI | Huang, X. Jiang, R. Peng, S. Wei, Y. Hu, X. Chen, J. Lian, W. | Open Life Sci | 2023 |
brain nerve function |
| Prevention and treatment of traumatic brain injury-related delirium: a systematic review | Huang, Y. Q. Weiss, S. Gros, P. Wong, E. Piché, P. P. Vyas, M. V. Tam, A. K. H. Watt, J. A. | J Neurol | 2023 |
Humans |
| The Efficacy of Dexmedetomidine alone or with Melatonin on Delirium after Coronary Artery Bypass Graft Surgery: A Randomized Clinical Trial | Javaherforooshzadeh, F. Babazadeh Dezfoli, A. Saki Malehi, A. Gholizadeh, B. | Anesth Pain Med | 2023 |
Cardiac Surgery |
| Cerebral autoregulation-based mean arterial pressure targets and delirium in critically ill adults without brain injury: a retrospective cohort study | Khan, J. M. Shore, A. Lee, K. F. H. Wood, M. D. Maslove, D. M. Hunt, M. Georgescu, I. Muscedere, J. Boyd, J. G. | Can J Anaesth | 2023 |
cerebral autoregulation |
| Clinical Features of Delirium among Patients in the Intensive Care Unit According to Motor Subtype Classification: A Retrospective Longitudinal Study | Kim, J. Oh, J. Ahn, J. S. Chung, K. Kim, M. K. Shin, C. S. Park, J. Y. | Yonsei Med J | 2023 |
Humans |
| The Efficacy of Ramelteon to Prevent Postoperative Delirium After General Anesthesia in the Elderly: A Double-Blind, Randomized, Placebo-Controlled Trial | Kinouchi, M. Mihara, T. Taguri, M. Ogura, M. | Am J Geriatr Psychiatry | 2023 |
Aged |
| Association of general anesthesia exposure with risk of postoperative delirium in patients receiving transcatheter aortic valve replacement: a meta-analysis and systematic review | Ko, C. C. Hung, K. C. Chang, Y. P. Liu, C. C. Cheng, W. J. Wu, J. Y. Li, Y. Y. Lin, T. C. Sun, C. K. | Sci Rep | 2023 |
Delirium is a heterogeneous and detrimental mental condition often seen in older, hospitalized patients and is currently hard to predict. In this study, we leverage large-scale, real- world data using the electronic health records (EHR) to identify two cohorts comprised of 7,492 UCSF patients and 19,417 UC health system patients (excluding UCSF patients) with an inpatient delirium diagnosis and the same number of propensity score-matched control patients without delirium. We found significant associations between comorbidities or laboratory test values and an inpatient delirium diagnosis which were validated independently. Most of these associations were those previously-identified as risk factors for delirium, including metabolic abnormalities, mental health diagnoses, and infections. Some of the associations were sex- specific, including those related to dementia subtypes and infections. We further explored the diagnostic associations with anemia and bipolar disorder by conducting longitudinal analyses from the time of first diagnosis of the risk factor to development of delirium demonstrating a significant relationship across time. Finally, we show that an inpatient delirium diagnosis leads to dramatic increases in mortality outcome across both cohorts. These results demonstrate the powerful application of leveraging EHR data to shed insights into prior diagnoses and laboratory test values that could help predict development of inpatient delirium and emphasize the importance of considering patient demographic characteristics including documented sex when making these assessments. ONE SENTENCE SUMMARY: Longitudinal analysis of electronic health record data reveals associations between inpatient delirium, comorbidities, and mortality. |
| Sex-stratified phenotyping of comorbidities associated with an inpatient delirium diagnosis using real world data | Kodama, L. Woldemariam, S. Tang, A. Li, Y. Oskotsky, T. Raphael, E. Sirota, M. | medRxiv | 2023 |
Delirium is a heterogeneous and detrimental mental condition often seen in older, hospitalized patients and is currently hard to predict. In this study, we leverage large-scale, real- world data using the electronic health records (EHR) to identify two cohorts comprised of 7,492 UCSF patients and 19,417 UC health system patients (excluding UCSF patients) with an inpatient delirium diagnosis and the same number of propensity score-matched control patients without delirium. We found significant associations between comorbidities or laboratory test values and an inpatient delirium diagnosis which were validated independently. Most of these associations were those previously-identified as risk factors for delirium, including metabolic abnormalities, mental health diagnoses, and infections. Some of the associations were sex- specific, including those related to dementia subtypes and infections. We further explored the diagnostic associations with anemia and bipolar disorder by conducting longitudinal analyses from the time of first diagnosis of the risk factor to development of delirium demonstrating a significant relationship across time. Finally, we show that an inpatient delirium diagnosis leads to dramatic increases in mortality outcome across both cohorts. These results demonstrate the powerful application of leveraging EHR data to shed insights into prior diagnoses and laboratory test values that could help predict development of inpatient delirium and emphasize the importance of considering patient demographic characteristics including documented sex when making these assessments. ONE SENTENCE SUMMARY: Longitudinal analysis of electronic health record data reveals associations between inpatient delirium, comorbidities, and mortality. |
| Comparison of the effectiveness of delirium evaluation tools in intensive care patients: pre-deliric versions 1 and 2, E-pre-deliric and ICDSC | Kucuk, O. Memis, D. Inal, M. T. Turan, F. N. Memis, I. | Eur Rev Med Pharmacol Sci | 2023 |
Male |
| New-onset delirium during hospitalization in older adults: incidence and risk factors | Lami Pereira, R. Bojanini Molina, L. Wilger, K. Hedges, M. S. Tolaymat, L. Haga, C. Walker, A. Gillis, M. Yin, M. Dawson, N. L. | Hosp Pract (1995) | 2023 |
Humans |
| The Potential Value of Systemic Inflammation Response Index on Delirium After Hip Arthroplasty Surgery in Older Patients: A Retrospective Study | Lu, W. Lin, S. Wang, C. Jin, P. Bian, J. | Int J Gen Med | 2023 |
geriatric |
| Incidence of delirium in older people with cancer: Systematic review and meta-analysis | Martínez-Arnau, F. M. Buigues, C. Pérez-Ros, P. | Eur J Oncol Nurs | 2023 |
Cancer |
| Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) for the diagnosis of delirium in adults in critical care settings | Miranda, F. Gonzalez, F. Plana, M. N. Zamora, J. Quinn, T. J. Seron, P. | Cochrane Database Syst Rev | 2023 |
Adult |
| Exploration of key drug target proteins highlighting their related regulatory molecules, functional pathways and drug candidates associated with delirium: evidence from meta-data analyses | Mosharaf, M. P. Alam, K. Gow, J. Mahumud, R. A. | BMC Geriatr | 2023 |
Humans |
| Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms | Nagata, C. Hata, M. Miyazaki, Y. Masuda, H. Wada, T. Kimura, T. Fujii, M. Sakurai, Y. Matsubara, Y. Yoshida, K. Miyagawa, S. Ikeda, M. Ueno, T. | Sci Rep | 2023 |
delirium, postoperative, machine learning, cardiovascular, hospital |
| EEG microstate quantifiers and state space descriptors during anaesthesia in patients with postoperative delirium: a descriptive analysis | Neuner, B. Wolter, S. McCarthy, W. J. Spies, C. Cunningham, C. Radtke, F. M. Franck, M. Koenig, T. | Brain Commun | 2023 |
EEG microstates |
| Efficacy and Safety of Risperidone in Patients With Delirium: The RIDDLE Pilot Study | Nguyen, P. V. Vu, T. T. M. | Aust Crit CareJ Clin Psychopharmacol | 2023 |
delirium, pilot study, risperidone, delirium rating scale, hospital |
| Intensive care unit nurses' perception of three different methods for delirium screening: A survey (DELIS-3) | Nielsen, A. H. Larsen, L. K. Collet, M. O. Lehmkuhl, L. Bekker, C. Jensen, J. F. Laerkner, E. Nielsen, T. A. Rossen, B. S. Thorn, L. Laursen, E. Fischer, S. Villumsen, M. Shiv, L. H. Høgh, M. Rahr, M. N. Svenningsen, H. | Aust Crit Care | 2023 |
Humans |
| Melatonin and Melatonin Agonists for Prevention of Delirium in the Cardiac Surgical ICU: A Meta-analysis | Niyogi, S. G. Naskar, C. Singh, A. Kumar, B. Grover, S. | Indian J Crit Care Med | 2023 |
Cardiac critical care |
| Association between Neuron-Specific Enolase, Memory Function, and Postoperative Delirium after Transfemoral Aortic Valve Replacement | Nübel, J. Buhre, C. Hoffmeister, M. Oess, S. Labrenz, O. Jost, K. Hauptmann, M. Schön, J. Fritz, G. Butter, C. Haase-Fielitz, A. | J Cardiovasc Dev Dis | 2023 |
Tavr |
| A retrospective, cross-sectional analysis of delirium in burn injury compared to other surgical specialities | O'Brien, A. Hopkins, J. Boardman, G. Stanley, G. Daly, P. Martin, L. Wood, F. | Burns | 2023 |
Humans |
| Postoperative Use of the Muscle Relaxants Baclofen and/or Cyclobenzaprine Associated With an Increased Risk of Delirium Following Lumbar Fusion | Perez, E. A. Ray, E. Gold, C. J. Park, B. J. Piscopo, A. Carnahan, R. M. Banks, M. Sanders, R. D. Olinger, C. R. Mueller, R. N. Woodroffe, R. W. | Spine (Phila Pa 1976) | 2023 |
Humans |
| Extracellular Vesicles as Possible Plasma Markers and Mediators in Patients with Sepsis-Associated Delirium-A Pilot Study | Plaschke, K. Brenner, T. Fiedler, M. O. Hölle, T. von der Forst, M. Wolf, R. C. Kopitz, J. Gebert, J. Weigand, M. A. | Int J Mol Sci | 2023 |
Humans |
| Rest-activity patterns associated with delirium in patients with intracerebral hemorrhage | Reznik, M. E. Mintz, N. Moody, S. Drake, J. Margolis, S. A. Rudolph, J. L. LaBuzetta, J. N. Kamdar, B. B. Jones, R. N. | J Neurol Sci | 2023 |
Humans |
| Development and validation of delirium prediction models for noncardiac surgery patients | Rössler, J. Shah, K. Medellin, S. Turan, A. Ruetzler, K. Singh, M. Sessler, D. I. Maheshwari, K. | J Pain Palliat Care Pharmacother | 2023 |
Anesthesia |
| Effects of Opioids, Steroids, Benzodiazepines, Anticholinergics, and Antihistamines on the Efficacy of Antipsychotics for Treating Delirium in End-of-Life Adult Patients Undergoing Palliative Care | Sato, J. Tanaka, R. | J Pain Palliat Care Pharmacother | 2023 |
Humans |
| Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study | Ser, S. E. Shear, K. Snigurska, U. A. Prosperi, M. Wu, Y. Magoc, T. Bjarnadottir, R. I. Lucero, R. J. | JMIR Res Protoc | 2023 |
big data |
| A Prospective Randomized Study of the Herbal Medicine Yokukansan for Preventing Delirium After Gastrointestinal Cancer Surgery | Tanio, A. Yamamoto, M. Uejima, C. Tada, Y. Yamanashi, T. Matsuo, R. Miura, A. Kajitani, N. Nishiguchi, T. Iwata, M. Fujiwara, Y. | Yonago Acta Med | 2023 |
gastrointestinal cancer |
| A protocol of an international validation study to assess the clinical accuracy of the eDIS-ICU delirium screening tool | Tronstad, O. Patterson, S. Sutt, A. L. Pearse, I. Hay, K. Liu, K. Sato, K. Koga, Y. Matsuoka, A. Hongo, T. Rätsep, I. Fraser, J. F. Flaws, D. | Aust Crit Care | 2023 |
Humans |
| Anaesthesia-related cognitive dysfunction following cardiothoracic surgery in late middle-age and younger adults: A scoping review | Varpaei, H. A. Robbins, L. B. Ling, J. Lehto, R. H. Bender, C. M. | Nurs Crit Care | 2023 |
anaesthesia |
| Long-term mortality of critically ill patients with cancer and delirium who survived to discharge: a retrospective cohort study | Vizzacchi, B. A. Pezzini, T. R. de Souza, J. M. Caruso, P. Nassar, A. P., Jr. | Can J Anaesth | 2023 |
Adult |