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Review
. 2005 Aug;9(4):R307-14.
doi: 10.1186/cc3536. Epub 2005 May 17.

Factors that predict outcome of intensive care treatment in very elderly patients: a review

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Review

Factors that predict outcome of intensive care treatment in very elderly patients: a review

Sophia E de Rooij et al. Crit Care. 2005 Aug.

Abstract

Introduction: Advanced age is thought to be associated with increased mortality in critically ill patients. This report reviews available data on factors that determine outcome, on the value of prognostic models, and on preferences regarding life-sustaining treatments in (very) elderly intensive care unit (ICU) patients.

Methods: We searched the Medline database (January 1966 to January 2005) for English language articles. Selected articles were cross-checked for other relevant publications.

Results: Mortality rates are higher in elderly ICU patients than in younger patients. However, it is not age per se but associated factors, such as severity of illness and premorbid functional status, that appear to be responsible for the poorer prognosis. Patients' preferences regarding life-sustaining treatments are importantly influenced by the likelihood of a beneficial outcome. Commonly used prognostic models have not been calibrated for use in the very elderly. Furthermore, they do not address long-term survival and functional outcome.

Conclusion: We advocate the development of new prognostic models, validated in elderly ICU patients, that predict not only survival but also functional and cognitive status after discharge. Such a model may support informed decision making with respect to patients' preferences.

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Figures

Figure 1
Figure 1
In-hospital mortality by age group in the Dutch National Intensive Care Evaluation database (n = 54021) [18]. Numbers indicate patients per age group.

Comment in

References

    1. US Census Bureau . Population Projections of the United States by Age, Sex, Race, Hispanic Origin and Nativity: 1999–2100. Washington: US Census Bureau; 2000.
    1. Wood KA, Ely EW. What does it mean to be critically ill and elderly? Curr Opin Crit Care. 2003;9:316–320. doi: 10.1097/00075198-200308000-00011. - DOI - PubMed
    1. Gastrell J. Annual update: mortality statistics 2001: general. Health Stat Q. 2004;21:67–69. - PubMed
    1. Hamel MB, Teno JM, Goldman L, Lynn J, Davis RB, Galanos AN, Desbiens N, Connors AF, Jr, Wenger N, Phillips RS. Patient age and decisions to withhold life-sustaining treatments from seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment. Ann Intern Med. 1999;130:116–125. - PubMed
    1. Boumendil A, Maury E, Reinhard I, Luquel L, Offenstadt G, Guidet B. Prognosis of patients aged 80 years and over admitted in medical intensive care unit. Intensive Care Med. 2004;30:647–654. doi: 10.1007/s00134-003-2150-z. - DOI - PubMed