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The AWOL tool: Derivation and validation of a delirium prediction rule
Author(s) -
Douglas Vanja C.,
Hessler Christine S.,
Dhaliwal Gurpreet,
Betjemann John P.,
Fukuda Keiko A.,
Alameddine Lama R.,
Lucatorto Rachael,
Johnston S. Claiborne,
Josephson S. Andrew
Publication year - 2013
Publication title -
journal of hospital medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.128
H-Index - 65
eISSN - 1553-5606
pISSN - 1553-5592
DOI - 10.1002/jhm.2062
Subject(s) - delirium , medicine , cohort , prospective cohort study , receiver operating characteristic , population , confusion , emergency medicine , cohort study , pediatrics , intensive care medicine , psychology , environmental health , psychoanalysis
BACKGROUND Risk factors for delirium are well‐described, yet there is no widely used tool to predict the development of delirium upon admission in hospitalized medical patients. OBJECTIVE To develop and validate a tool to predict the likelihood of developing delirium during hospitalization. DESIGN Prospective cohort study with derivation (May 2010–November 2010) and validation (October 2011–March 2012) cohorts. SETTING Two academic medical centers and 1 Veterans Affairs medical center. PATIENTS Consecutive medical inpatients (209 in the derivation and 165 in the validation cohort) over age 50 years without delirium at the time of admission. MEASUREMENTS Delirium assessed daily for up to 6 days using the Confusion Assessment Method. RESULTS The AWOL prediction rule was derived by assigning 1 point to each of 4 items assessed upon enrollment that were independently associated with the development of delirium (Age ≥ 80 years, failure to spell “World” backward, disOrientation to place, and higher nurse‐rated iLlness severity). Higher scores were associated with higher rates of delirium in the derivation and validation cohorts ( P for trend < 0.001 and 0.025, respectively). Rates of delirium according to score in the combined population were: 0(1/50, 2%), 1(5/141, 4%), 2(15/107, 14%), 3(10/50, 20%), and 4(7/11, 64%) ( P for trend < 0.001). Area under the receiver operating characteristic curve for the derivation and validation cohorts was 0.81 (0.73–0.90) and 0.69 (0.54–0.83) respectively. CONCLUSIONS The AWOL prediction rule characterizes medical patients' risk for delirium at the time of hospital admission and could be used for clinical stratification and in trials of delirium prevention. Journal of Hospital Medicine 2013;8:493–499. © 2013 Society of Hospital Medicine