Risk Factors for Delirium in Critically Ill Surgical Patients
1 other identifier
observational
251
1 country
1
Brief Summary
Delirium is characterized by changes in mental status, inattension, disorganized thinking, and altered consciousness. Prevalence of delirium in critically ill patients has varied from 20\~80% depending on the severity of illness. Despite its high prevalence, delirium is often under-recognized by clinicians due to the difficulties in diagnosis and no interest. Delirium is associated with increased mechanical ventilation days, hospital length of stay, and mortality. The purpose of this study is to analyze the prevalence of delirium and risk factors for delirium in critically ill surgical patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2013
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 30, 2013
CompletedStudy Completion
Last participant's last visit for all outcomes
August 30, 2015
CompletedFirst Submitted
Initial submission to the registry
February 8, 2017
CompletedFirst Posted
Study publicly available on registry
February 10, 2017
CompletedFebruary 10, 2017
February 1, 2017
5 months
February 8, 2017
February 8, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Prevelance of delirium
Analyses were performed to delirium prevelance of SICU Patients
with in 6month in SICU
Secondary Outcomes (1)
Risk factors associated with delirium
with in 6month in SICU
Study Arms (2)
Delirium positive
delirium patients in critically ill surgical patients
Delirium negative
non delirium patients in critically ill surgical patients
Eligibility Criteria
Admitted to the surgical ICU from April to August 2013 and had the ability to express themselves verbally or nonverbally.
You may qualify if:
- Above RASS -3 paitent
- Verbally or nonverbally communication possible patients
You may not qualify if:
- Under age 18
- Neurological disorder e.g.) Brain injury, dementia and traumatic brain injury
- Readmitted to ICU
- History of delirium
- Transplanted; isolation is required
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Suk-Kyunglead
Study Sites (1)
Asan Medical Center
Seoul, Seoul, 05505, South Korea
Related Publications (15)
Dubois MJ, Bergeron N, Dumont M, Dial S, Skrobik Y. Delirium in an intensive care unit: a study of risk factors. Intensive Care Med. 2001 Aug;27(8):1297-304. doi: 10.1007/s001340101017.
PMID: 11511942RESULTEly EW, Shintani A, Truman B, Speroff T, Gordon SM, Harrell FE Jr, Inouye SK, Bernard GR, Dittus RS. Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit. JAMA. 2004 Apr 14;291(14):1753-62. doi: 10.1001/jama.291.14.1753.
PMID: 15082703RESULTPisani MA, Araujo KL, Van Ness PH, Zhang Y, Ely EW, Inouye SK. A research algorithm to improve detection of delirium in the intensive care unit. Crit Care. 2006;10(4):R121. doi: 10.1186/cc5027.
PMID: 16919169RESULTPisani MA, Kong SY, Kasl SV, Murphy TE, Araujo KL, Van Ness PH. Days of delirium are associated with 1-year mortality in an older intensive care unit population. Am J Respir Crit Care Med. 2009 Dec 1;180(11):1092-7. doi: 10.1164/rccm.200904-0537OC. Epub 2009 Sep 10.
PMID: 19745202RESULTHsieh SJ, Ely EW, Gong MN. Can intensive care unit delirium be prevented and reduced? Lessons learned and future directions. Ann Am Thorac Soc. 2013 Dec;10(6):648-56. doi: 10.1513/AnnalsATS.201307-232FR.
PMID: 24364769RESULTRapp CG, Mentes JC, Titler MG. Acute confusion/delirium protocol. J Gerontol Nurs. 2001 Apr;27(4):21-33; quiz 62-3. doi: 10.3928/0098-9134-20010401-07.
PMID: 11915153RESULTThomason JW, Shintani A, Peterson JF, Pun BT, Jackson JC, Ely EW. Intensive care unit delirium is an independent predictor of longer hospital stay: a prospective analysis of 261 non-ventilated patients. Crit Care. 2005 Aug;9(4):R375-81. doi: 10.1186/cc3729. Epub 2005 Jun 1.
PMID: 16137350RESULTHunt JM. The cardiac surgical patient's expectations and experiences of nursing care in the intensive care unit. Aust Crit Care. 1999 Jun;12(2):47-53. doi: 10.1016/s1036-7314(99)70535-7.
PMID: 10624186RESULTPeterson JF, Pun BT, Dittus RS, Thomason JW, Jackson JC, Shintani AK, Ely EW. Delirium and its motoric subtypes: a study of 614 critically ill patients. J Am Geriatr Soc. 2006 Mar;54(3):479-84. doi: 10.1111/j.1532-5415.2005.00621.x.
PMID: 16551316RESULTIrish JT. Deciphering the physician-older patient interaction. Int J Psychiatry Med. 1997;27(3):251-67. doi: 10.2190/CQ97-Y82H-6P2E-9BJ4.
PMID: 9565727RESULTGustafson Y, Berggren D, Brannstrom B, Bucht G, Norberg A, Hansson LI, Winblad B. Acute confusional states in elderly patients treated for femoral neck fracture. J Am Geriatr Soc. 1988 Jun;36(6):525-30. doi: 10.1111/j.1532-5415.1988.tb04023.x.
PMID: 2897391RESULTMicek ST, Anand NJ, Laible BR, Shannon WD, Kollef MH. Delirium as detected by the CAM-ICU predicts restraint use among mechanically ventilated medical patients. Crit Care Med. 2005 Jun;33(6):1260-5. doi: 10.1097/01.ccm.0000164540.58515.bf.
PMID: 15942341RESULTKamdar BB, Needham DM, Collop NA. Sleep deprivation in critical illness: its role in physical and psychological recovery. J Intensive Care Med. 2012 Mar-Apr;27(2):97-111. doi: 10.1177/0885066610394322. Epub 2011 Jan 10.
PMID: 21220271RESULTGabor JY, Cooper AB, Crombach SA, Lee B, Kadikar N, Bettger HE, Hanly PJ. Contribution of the intensive care unit environment to sleep disruption in mechanically ventilated patients and healthy subjects. Am J Respir Crit Care Med. 2003 Mar 1;167(5):708-15. doi: 10.1164/rccm.2201090.
PMID: 12598213RESULTBross MH, Tatum NO. Delirium in the elderly patient. Am Fam Physician. 1994 Nov 1;50(6):1325-32.
PMID: 7942430RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Suk-kyung Hong, Ph.D
University of Ulsan College of Medicine. Asan Medical Center
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Associate Professor in General Surgery
Study Record Dates
First Submitted
February 8, 2017
First Posted
February 10, 2017
Study Start
April 1, 2013
Primary Completion
August 30, 2013
Study Completion
August 30, 2015
Last Updated
February 10, 2017
Record last verified: 2017-02
Data Sharing
- IPD Sharing
- Will not share