153 related articles for article (PubMed ID: 23922253)
1. The AWOL tool: derivation and validation of a delirium prediction rule.
Douglas VC; Hessler CS; Dhaliwal G; Betjemann JP; Fukuda KA; Alameddine LR; Lucatorto R; Johnston SC; Josephson SA
J Hosp Med; 2013 Sep; 8(9):493-9. PubMed ID: 23922253
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a delirium predictive score in older people.
Carrasco MP; Villarroel L; Andrade M; Calderón J; González M
Age Ageing; 2014 May; 43(3):346-51. PubMed ID: 24064236
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
[TBL] [Abstract][Full Text] [Related]
4. Derivation, Validation, Sustained Performance, and Clinical Impact of an Electronic Medical Record-Based Perioperative Delirium Risk Stratification Tool.
Whitlock EL; Braehler MR; Kaplan JA; Finlayson E; Rogers SE; Douglas V; Donovan AL
Anesth Analg; 2020 Dec; 131(6):1901-1910. PubMed ID: 33105280
[TBL] [Abstract][Full Text] [Related]
5. A prediction rule for the development of delirium among patients in medical wards: Chi-Square Automatic Interaction Detector (CHAID) decision tree analysis model.
Kobayashi D; Takahashi O; Arioka H; Koga S; Fukui T
Am J Geriatr Psychiatry; 2013 Oct; 21(10):957-62. PubMed ID: 23567433
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a dynamic delirium prediction rule in patients admitted to the Intensive Care Units (DYNAMIC-ICU): A prospective cohort study.
Fan H; Ji M; Huang J; Yue P; Yang X; Wang C; Ying W
Int J Nurs Stud; 2019 May; 93():64-73. PubMed ID: 30861455
[TBL] [Abstract][Full Text] [Related]
7. [Development and validation of a clinical predictive model for delirium in hospitalized older people].
Carrasco G M; Villarroel D L; Calderón P J; Martínez F G; Andrade A M; González T M
Rev Med Chil; 2014 Jul; 142(7):826-32. PubMed ID: 25378001
[TBL] [Abstract][Full Text] [Related]
8. Prospective derivation and validation of a clinical prediction rule for recurrent Clostridium difficile infection.
Hu MY; Katchar K; Kyne L; Maroo S; Tummala S; Dreisbach V; Xu H; Leffler DA; Kelly CP
Gastroenterology; 2009 Apr; 136(4):1206-14. PubMed ID: 19162027
[TBL] [Abstract][Full Text] [Related]
9. [CCERW: a new rule to predict treatment failure in patients with community-acquired pneumonia in middle aged and elderly people].
Li JS; Li SY; Yu XQ; Sun ZK; Zhang W; Jia XH; Zheng SP; Wang MH; Wang HF
Zhongguo Wei Zhong Bing Ji Jiu Yi Xue; 2011 Jan; 23(1):10-7. PubMed ID: 21251359
[TBL] [Abstract][Full Text] [Related]
10. Predicting inpatient delirium: The AWOL delirium risk-stratification score in clinical practice.
Brown EG; Josephson SA; Anderson N; Reid M; Lee M; Douglas VC
Geriatr Nurs; 2017; 38(6):567-572. PubMed ID: 28533062
[TBL] [Abstract][Full Text] [Related]
11. Performance of Electronic Prediction Rules for Prevalent Delirium at Hospital Admission.
Halladay CW; Sillner AY; Rudolph JL
JAMA Netw Open; 2018 Aug; 1(4):e181405. PubMed ID: 30646122
[TBL] [Abstract][Full Text] [Related]
12. Delirium in older medical inpatients and subsequent cognitive and functional status: a prospective study.
McCusker J; Cole M; Dendukuri N; Belzile E; Primeau F
CMAJ; 2001 Sep; 165(5):575-83. PubMed ID: 11563209
[TBL] [Abstract][Full Text] [Related]
13. Delirium risk stratification in consecutive unselected admissions to acute medicine: validation of a susceptibility score based on factors identified externally in pooled data for use at entry to the acute care pathway.
Pendlebury ST; Lovett NG; Smith SC; Wharton R; Rothwell PM
Age Ageing; 2017 Mar; 46(2):226-231. PubMed ID: 27816908
[TBL] [Abstract][Full Text] [Related]
14. Poststroke delirium incidence and outcomes: validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).
Mitasova A; Kostalova M; Bednarik J; Michalcakova R; Kasparek T; Balabanova P; Dusek L; Vohanka S; Ely EW
Crit Care Med; 2012 Feb; 40(2):484-90. PubMed ID: 22001583
[TBL] [Abstract][Full Text] [Related]
15. Risk factors and prediction of postoperative delirium in elderly hip-surgery patients: implementation and validation of a medical risk factor model.
Kalisvaart KJ; Vreeswijk R; de Jonghe JF; van der Ploeg T; van Gool WA; Eikelenboom P
J Am Geriatr Soc; 2006 May; 54(5):817-22. PubMed ID: 16696749
[TBL] [Abstract][Full Text] [Related]
16. Relationship between cognitive status at admission and incident delirium in older medical inpatients.
Franco JG; Valencia C; Bernal C; Ocampo MV; Trzepacz PT; Pablo Jd; Mejía MA
J Neuropsychiatry Clin Neurosci; 2010; 22(3):329-37. PubMed ID: 20686140
[TBL] [Abstract][Full Text] [Related]
17. Risk factors for developing delirium in older patients admitted to general medical wards.
Srinonprasert V; Pakdeewongse S; Assanasen J; Eiamjinnasuwat W; Sirisuwat A; Limmathuroskul D; Praditsuwan R
J Med Assoc Thai; 2011 Feb; 94 Suppl 1():S99-104. PubMed ID: 21721434
[TBL] [Abstract][Full Text] [Related]
18. Inclusion of frailty improved performance of delirium prediction for elderly patients in the cardiac intensive care unit (D-FRAIL): A prospective derivation and external validation study.
Guo R; Zhang S; Yu S; Li X; Liu X; Shen Y; Wei J; Wu Y
Int J Nurs Stud; 2023 Nov; 147():104582. PubMed ID: 37672971
[TBL] [Abstract][Full Text] [Related]
19. Precipitating factors for delirium in hospitalized elderly persons. Predictive model and interrelationship with baseline vulnerability.
Inouye SK; Charpentier PA
JAMA; 1996 Mar; 275(11):852-7. PubMed ID: 8596223
[TBL] [Abstract][Full Text] [Related]
20. MMSE items that predict incident delirium and hypoactive subtype in older medical inpatients.
Gabriel Franco J; Santesteban O; Trzepacz P; Bernal C; Valencia C; Ocampo MV; Pablo Jd; Gaviria AM; Vilella E
Psychiatry Res; 2014 Dec; 220(3):975-81. PubMed ID: 25307690
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]