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"Delirium"

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"Delirium"

Original Articles

Brain disorders

Delirium After Traumatic Brain Injury: Prediction by Location and Size of Brain Lesion
Soo Jeong Han, Jee Hyun Suh, Ja Young Lee, Soo Jin Kim
Ann Rehabil Med 2023;47(3):214-221.   Published online June 7, 2023
DOI: https://doi.org/10.5535/arm.23008
Objective
To examine (1) the location of brain lesion that would predict post-traumatic delirium and (2) the association between volume of brain lesion and occurrence of delirium in patients with traumatic brain injury (TBI).
Methods
A retrospective study was conducted by reviewing medical records of 68 TBI patients, categorized into two groups: the delirious group (n=38) and non-delirious group (n=30). The location and volume of TBI were investigated with the 3D Slicer software.
Results
The TBI region in the delirious group mainly involved the frontal or temporal lobe (p=0.038). All 36 delirious patients had brain injury on the right side (p=0.046). The volume of hemorrhage in the delirious group was larger by about 95 mL compared to the non-delirious group, but this difference was not statistically significant (p=0.382).
Conclusion
Patients with delirium after TBI had significantly different injury site and side, but not lesion size compared to patients without delirium.

Citations

Citations to this article as recorded by  
  • Clinical Utility and Performance of the Traditional Chinese Version of the 4-As Test for Delirium due to Traumatic Brain Injury
    Yun-Hsuan Lai, Chia-Jou Lin, I-Chang Su, Sheng-Wen Huang, Chia-Chi Hsiao, Ying-Ling Jao, Pin-Yuan Chen, Victoria Traynor, Chuan-Ya Lee, Ting-Jhen Chen, Mu-Hsing Ho, Hsiao-Yean Chiu
    Journal of the Academy of Consultation-Liaison Psychiatry.2025; 66(2): 130.     CrossRef
  • Post–Intensive Care Syndrome in Neurocritical Care Patients
    Neha S. Dangayach, Natalie Kreitzer, Brandon Foreman, Jenna Tosto-Mancuso
    Seminars in Neurology.2024; 44(03): 398.     CrossRef
  • Risk factors for delirium occurring after deep brain stimulation surgery in patients with Parkinson’s disease
    Enes Ozluk, Gulsah Ozturk
    Acta Neurochirurgica.2024;[Epub]     CrossRef
  • 7,145 View
  • 173 Download
  • 3 Web of Science
  • 3 Crossref
Risk Factors for Delirium During Acute and Subacute Stages of Various Disorders in Patients Admitted to Rehabilitation Units
Soyeon Jang, Kwang-Ik Jung, Woo-Kyoung Yoo, Myung Hun Jung, Suk Hoon Ohn
Ann Rehabil Med 2016;40(6):1082-1091.   Published online December 30, 2016
DOI: https://doi.org/10.5535/arm.2016.40.6.1082
Correction in: Ann Rehabil Med 2017;41(1):168
Objective

To assess the risk factors for delirium in patients admitted to a rehabilitation unit for acute or subacute neurological or musculoskeletal disorders.

Methods

We reviewed the medical records of 537 patients admitted to a rehabilitation unit and selected 398 patients in the acute or subacute stage of various neurological or musculoskeletal disorders. Among them, patients who had suffered from delirium were categorized into the delirium group (n=65), and the other patients were categorized into the non-delirium group (n=333). As potential risk factors for delirium, the patients' diagnosis, underlying disease, demographic data, hospital stay duration, surgery, and laboratory findings were reviewed, and the differences between the two groups with respect to independent risk factors were analyzed.

Results

The average age in the delirium group was higher; the hospital stay and pre-transfer periods were longer. A large proportion of the patients were admitted for musculoskeletal disorders, and many patients had diabetes mellitus, dementia, and depression as underlying diseases. Laboratory tests revealed increases in the white blood cells (WBC), glucose, blood urea nitrogen (BUN), total bilirubin, aspartate transaminase (AST), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) levels in the delirium group, while the hemoglobin, calcium, phosphorus, protein, albumin, and potassium levels were decreased. Depression, musculoskeletal disorders, traumatic brain injury, elevated WBC, BUN, AST, and CRP levels, and decreased potassium and phosphorus levels were identified as independent risk factors for delirium.

Conclusion

Risk factors treatable before delirium onset were identified in rehabilitation patients in acute and subacute stages of various disorders. Early diagnosis and prevention of these risk factors could decrease delirium occurrence and increase rehabilitation effectiveness.

Citations

Citations to this article as recorded by  
  • The role of diabetes mellitus on delirium onset: a systematic review and meta-analysis
    Klara Komici, Carlo Fantini, Gaetano Santulli, Leonardo Bencivenga, Grazia Daniela Femminella, Germano Guerra, Pasquale Mone, Giuseppe Rengo
    Cardiovascular Diabetology.2025;[Epub]     CrossRef
  • Risk Factors and Nomogram for Postoperative Delirium in Elderly Orthopedic Patients in the Intensive Care Unit: Retrospective Study Based on MIMIC–IV
    Hao Chen, Jing Wang, Yu Zhang, Weihong Zhao, Mengnan Han, Jing Zhang, Jianli Li
    International Journal of Orthopaedic and Trauma Nursing.2025; : 101196.     CrossRef
  • Role of Intraoperative Neuromonitoring to Predict Postoperative Delirium in Cardiovascular Surgery
    Abdullah M Al-Qudah, Omar Al Ta'ani, Parthasarathy D. Thirumala, Ibrahim Sultan, Shyam Visweswaran, Neelesh Nadkarni, Victoria Kiselevskaya, Donald J. Crammond, Jeffrey Balzer, Katherine M. Anetakis, Varun Shandal, Kathirvel Subramaniam, Balachundhar Subr
    Journal of Cardiothoracic and Vascular Anesthesia.2024; 38(2): 526.     CrossRef
  • Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort
    Yu Jung Kim, Hayeon Lee, Ho Geol Woo, Si Won Lee, Moonki Hong, Eun Hee Jung, Shin Hye Yoo, Jinseok Lee, Dong Keon Yon, Beodeul Kang
    Scientific Reports.2024;[Epub]     CrossRef
  • An Observational Study of Electrolytes and Other Metabolic Parameters in Patients with Delirium in Hospital Settings
    Sunil Kumar, Debajyoti Bhattacharyya, Bijender Singh, Puneet Khanna, Mohd Ishaque Qureshi
    Journal of Marine Medical Society.2024;[Epub]     CrossRef
  • Potential Risk Factors for, and Clinical Implications of, Delirium during Inpatient Rehabilitation: A Matched Case-Control Study
    Marco G. Ceppi, Marlene S. Rauch, Julia Spöndlin, Andreas R. Gantenbein, Christoph R. Meier, Peter S. Sándor
    Journal of the American Medical Directors Association.2023; 24(4): 519.     CrossRef
  • Delirium in older hospitalized patients—A prospective analysis of the detailed course of delirium in geriatric inpatients
    Skadi Wilke, Edgar Steiger, Tanja L. Bärwolff, Justus F. Kleine, Ursula Müller-Werdan, Adrian Rosada, Hikaru Hori
    PLOS ONE.2023; 18(3): e0279763.     CrossRef
  • Assessing the Risk of Developing Delirium on Admission to Inpatient Rehabilitation: A Clinical Prediction Model
    Marco G. Ceppi, Marlene S. Rauch, Julia Spöndlin, Christoph R. Meier, Peter S. Sándor
    Journal of the American Medical Directors Association.2023; 24(12): 1931.     CrossRef
  • Prevalence and features of delirium in older patients admitted to rehabilitation facilities: a multicenter study
    Chiara Sidoli, Antonella Zambon, Elena Tassistro, Emanuela Rossi, Enrico Mossello, Marco Inzitari, Antonio Cherubini, Alessandra Marengoni, Alessandro Morandi, Giuseppe Bellelli, A Tarasconi, M Sella, G Paternò, G Faggian, C Lucarelli, N De Grazia, C Albe
    Aging Clinical and Experimental Research.2022; 34(8): 1827.     CrossRef
  • Delirium prediction in the ICU: designing a screening tool for preventive interventions
    Anirban Bhattacharyya, Seyedmostafa Sheikhalishahi, Heather Torbic, Wesley Yeung, Tiffany Wang, Jennifer Birst, Abhijit Duggal, Leo Anthony Celi, Venet Osmani
    JAMIA Open.2022;[Epub]     CrossRef
  • Noise pareidolia test for predicting delirium in hospitalized older patients with cognitive decline
    Yutaka Hashimoto, Osamu Kano, Satoru Ebihara
    Geriatrics & Gerontology International.2022; 22(10): 883.     CrossRef
  • Neutrophil-Lymphocyte Ratio as a Potential Biomarker for Delirium in the Intensive Care Unit
    Chai Lee Seo, Jin Young Park, Jaesub Park, Hesun Erin Kim, Jaehwa Cho, Jeong-Ho Seok, Jae-Jin Kim, Cheung Soo Shin, Jooyoung Oh
    Frontiers in Psychiatry.2021;[Epub]     CrossRef
  • Detecting Incident Delirium within Routinely Collected Inpatient Rehabilitation Data: Validation of a Chart-Based Method
    Marco G. Ceppi, Marlene S. Rauch, Peter S. Sándor, Andreas R. Gantenbein, Shyam Krishnakumar, Monika Albert, Christoph R. Meier
    Neurology International.2021; 13(4): 701.     CrossRef
  • Saturday allied health services for geriatric evaluation and management: A controlled before‐and‐after trial
    Nicholas F. Taylor, Katherine Lawler, Natasha K. Brusco, Casey L. Peiris, Katherine E. Harding, Grant D. Scroggie, Jude N. Boyd, Anita M. Wilton, Freya Coker, John G. Ferraro, Nora Shields
    Australasian Journal on Ageing.2020; 39(1): 64.     CrossRef
  • 5,525 View
  • 54 Download
  • 14 Web of Science
  • 14 Crossref
Influence of Delirium on Functional Recovery in Acute Stroke.
Kim, Se Won , Kim, Bo Ram , Lim, Jeong Hoon , Koh, Seong Eun , Lee, In Sik , Kim, Jong Moon , Kim, Hahn Young , Lee, Jongmin
J Korean Acad Rehabil Med 2010;34(4):403-408.
Objective
To investigate the risk factors for poststroke delirium and evaluate its influence on functional recovery after ischemic stroke. Method: Risk factors for delirium were investigated retrospectively in three hundred twenty nine acute ischemic stroke patients over 60 years of age. Among the 329 patients, sixty seven developed delirium. Data were analyzed between delirium group (n=22) and control group (n=22) according to age, sex, lesion location and clinical features. Korean modified Barthel index (K-MBI), Korean National Institutes of Health stroke scale (K-NIHSS) and Korean mini-mental state examination (KMMSE) were measured at second and sixth weeks after onset and compared for both groups. Results: Parameters showing statistically significant difference between two groups were age over 80, hyponatremia, sleep deprivation, cognitive impairment and cardiogenic embolism. There was no significant difference in K-MBI, K-NIHSS and K-MMSE scores at second week between the two groups. The delirium group showed significantly less improvement in K-MBI and K-NIHSS scores compared to control group (9.5±10.2 vs 18.5±11.6, p=0.011; −0.7±1.2 vs −1.8±1.3, p=0.014). There was no significant improvement in K-MMSE score. Conclusion: The possible risk factors for delirium in acute ischemic stroke are age over 80, hyponatremia, sleep deprivation, cognitive impairment and cardiogenic embolism. Stroke patients with comorbid delirium showed poorer functional outcome. Delirium seems to have detrimental effect in functional recovery after stroke. (J Korean Acad Rehab Med 2010; 34: 403-408)
  • 1,377 View
  • 13 Download
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