Original Research15 April 2014
    Author, Article and Disclosure Information
    Background:

    Quantifying the severity of delirium is essential to advancing clinical care by improved understanding of delirium effect, prognosis, pathophysiology, and response to treatment.

    Objective:

    To develop and validate a new delirium severity measure (CAM-S) based on the Confusion Assessment Method.

    Design:

    Validation analysis in 2 independent cohorts.

    Setting:

    Three academic medical centers.

    Patients:

    The first cohort included 300 patients aged 70 years or older scheduled for major surgery. The second included 919 medical patients aged 70 years or older.

    Measurements:

    A 4-item short form and a 10-item long form were developed. Association of the maximum CAM-S score during hospitalization with hospital and posthospital outcomes related to delirium was evaluated.

    Results:

    Representative results included adjusted mean length of stay, which increased across levels of short-form severity from 6.5 days (95% CI, 6.2 to 6.9 days) to 12.7 days (CI, 11.2 to 14.3 days) (P for trend < 0.001) and across levels of long-form severity from 5.6 days (CI, 5.1 to 6.1 days) to 11.9 days (CI, 10.8 to 12.9 days) (P for trend < 0.001). Representative results for the composite outcome of adjusted relative risk of death or nursing home residence at 90 days increased progressively across levels of short-form severity from 1.0 (referent) to 2.5 (CI, 1.9 to 3.3) (P for trend < 0.001) and across levels of long-form severity from 1.0 (referent) to 2.5 (CI, 1.6 to 3.7) (P for trend < 0.001).

    Limitation:

    Data on clinical outcomes were measured in an older data set limited to patients aged 70 years or older.

    Conclusion:

    The CAM-S provides a new delirium severity measure with strong psychometric properties and strong associations with important clinical outcomes.

    Primary Funding Source:

    National Institute on Aging.

    References

    • 1. Inouye SKWestendorp RGSaczynski JSDelirium in elderly people. Lancet2013;:. [PMID: 23992774] MedlineGoogle Scholar
    • 2. National Institute for Health and Care Excellence. Delirium: diagnosis, prevention and management. NICE clinical guideline 103. London: National Institute for Health and Care Excellence; 2010. Accessed at www.nice.org.uk/nicemedia/live/13060/49909/49909.pdf on 5 February 2014. Google Scholar
    • 3. Inouye SKDelirium in older persons. N Engl J Med2006;354:1157-65. [PMID: 16540616] CrossrefMedlineGoogle Scholar
    • 4. Witlox JEurelings LSde Jonghe JFKalisvaart KJEikelenboom Pvan Gool WADelirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. JAMA2010;304:443-51. [PMID: 20664045] CrossrefMedlineGoogle Scholar
    • 5. Leslie DLMarcantonio ERZhang YLeo-Summers LInouye SKOne-year health care costs associated with delirium in the elderly population. Arch Intern Med2008;168:27-32. [PMID: 18195192] CrossrefMedlineGoogle Scholar
    • 6. Wachter RM. Understanding Patient Safety. 2nd ed. New York: McGraw-Hill Medical; 2012. Accessed at http://langetextbooks.com/0071765786/downloads/0071765786_Wachter.pdf on 5 February 2014. Google Scholar
    • 7. Greer NRossom RAnderson PMacDonald RTacklind JRutks Iet alDelirium: Screening, Prevention, and Diagnosis-A Systematic Review of the Evidence. VA Evidence-based Synthesis Program Reports2011. [PMID: 22206108] MedlineGoogle Scholar
    • 8. Inouye SKvan Dyck CHAlessi CABalkin SSiegal APHorwitz RIClarifying confusion: the Confusion Assessment Method. A new method for detection of delirium. Ann Intern Med1990;113:941-8. [PMID: 2240918] LinkGoogle Scholar
    • 9. Wei LAFearing MASternberg EJInouye SKThe Confusion Assessment Method: a systematic review of current usage. J Am Geriatr Soc2008;56:823-30. [PMID: 18384586] CrossrefMedlineGoogle Scholar
    • 10. Wong CLHolroyd-Leduc JSimel DLStraus SEDoes this patient have delirium?: value of bedside instruments. JAMA2010;304:779-86. [PMID: 20716741] CrossrefMedlineGoogle Scholar
    • 11. Inouye SKBogardus STCharpentier PALeo-Summers LAcampora DHolford TRet alA multicomponent intervention to prevent delirium in hospitalized older patients. N Engl J Med1999;340:669-76. [PMID: 10053175] CrossrefMedlineGoogle Scholar
    • 12. Milisen KForeman MDAbraham ILDe Geest SGodderis JVandermeulen Eet alA nurse-led interdisciplinary intervention program for delirium in elderly hip-fracture patients. J Am Geriatr Soc2001;49:523-32. [PMID: 11380743] CrossrefMedlineGoogle Scholar
    • 13. Schmitt EMMarcantonio ERAlsop DCJones RNRogers SOFong TGet alSAGES Study GroupNovel risk markers and long-term outcomes of delirium: the Successful Aging After Elective Surgery (SAGES) study design and methods. J Am Med Dir Assoc2012;13:818.e1-10. [PMID: 22999782] CrossrefMedlineGoogle Scholar
    • 14. Inouye SKLeo-Summers LZhang YBogardus STLeslie DLAgostini JVA chart-based method for identification of delirium: validation compared with interviewer ratings using the Confusion Assessment Method. J Am Geriatr Soc2005;53:312-8. [PMID: 15673358] CrossrefMedlineGoogle Scholar
    • 15. Inouye SK. The Confusion Assessment Method (CAM): Training Manual and Coding Guide. New Haven: Yale University School of Medicine; 2003. Accessed at www.hospitalelderlifeprogram.org/pdf/TheConfusionAssessmentMethodTrainingManual.pdf on 29 January 2014. Google Scholar
    • 16. Folstein MFFolstein SEMcHugh PR“Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res1975;12:189-98. [PMID: 1202204] CrossrefMedlineGoogle Scholar
    • 17. Katz SFord ABMoskowitz RWJackson BAJaffe MWStudies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. JAMA1963;185:914-9. [PMID: 14044222] CrossrefMedlineGoogle Scholar
    • 18. Inouye SKBogardus STBaker DILeo-Summers LCooney LMThe Hospital Elder Life Program: a model of care to prevent cognitive and functional decline in older hospitalized patients. Hospital Elder Life Program. J Am Geriatr Soc2000;48:1697-706. [PMID: 11129764] CrossrefMedlineGoogle Scholar
    • 19. Covinsky KEPalmer RMFortinsky RHCounsell SRStewart ALKresevic Det alLoss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc2003;51:451-8. [PMID: 12657063] CrossrefMedlineGoogle Scholar
    • 20. Tombaugh TNMcIntyre NJThe Mini-Mental State Examination: a comprehensive review. J Am Geriatr Soc1992;40:922-35. [PMID: 1512391] CrossrefMedlineGoogle Scholar
    • 21. Leslie DLZhang YBogardus STHolford TRLeo-Summers LSInouye SKConsequences of preventing delirium in hospitalized older adults on nursing home costs. J Am Geriatr Soc2005;53:405-9. [PMID: 15743281] CrossrefMedlineGoogle Scholar
    • 22. Manning WGMullahy JEstimating log models: to transform or not to transform? J Health Econ2001;20:461-94. [PMID: 11469231] CrossrefMedlineGoogle Scholar
    • 23. Graubard BIKorn ELPredictive margins with survey data. Biometrics1999;55:652-9. [PMID: 11318229] CrossrefMedlineGoogle Scholar
    • 24. Trzepacz PTBaker RWGreenhouse JA symptom rating scale for delirium. Psychiatry Res1988;23:89-97. [PMID: 3363018] CrossrefMedlineGoogle Scholar
    • 25. Trzepacz PTMittal DTorres RKanary KNorton JJimerson NValidation of the Delirium Rating Scale-Revised-98: comparison with the Delirium Rating Scale and the Cognitive Test for Delirium. J Neuropsychiatry Clin Neurosci2001;13:229-42. [PMID: 11449030] CrossrefMedlineGoogle Scholar
    • 26. Breitbart WRosenfeld BRoth ASmith MJCohen KPassik SThe Memorial Delirium Assessment Scale. J Pain Symptom Manage1997;13:128-37. [PMID: 9114631] CrossrefMedlineGoogle Scholar
    • 27. Lacasse HPerreault MMWilliamson DRSystematic review of antipsychotics for the treatment of hospital-associated delirium in medically or surgically ill patients. Ann Pharmacother2006;40:1966-73. [PMID: 17047137] CrossrefMedlineGoogle Scholar
    • 28. Buja AEyuboglu NRemarks on parallel analysis. Multivariate Behav1992;27:509-40. CrossrefMedlineGoogle Scholar
    • 29. McDonald RPTest Theory: A Unified Treatment. Mahway, NJ: Psychology Pr; 1999. Google Scholar