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Prediction of outcome in critically ill patients

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Abstract

A reasonable goal of intensive care is to save the life of salvageable patients with reversible medical conditions and offer the dying a peaceful and dignified death [1]. The wisdom of distinguishing to which group individual patients belong has long been left to the inconsistent, and perhaps imperfect, judgment of the clinician [2–4]. The current quest for improved effectiveness has motivated different interest groups in health care to develop tools that would be of use in predicting outcome from critical illness. The growing concern with cost-containment in health care has provided fuel to outcomes research by factoring in limitations in resources. The concept of providing cost-effective intensive care has now generalized to all developed countries, becoming a major interest of clinicians, hospital administrators, health care managers, medical economists and governmental policy makers. The elusive concept of quality of care is cvolving from patient-centered and unrestricted to a society-based and titrated.

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  1. Gilles Clermont
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  2. Derek C. Angus
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Clermont, G., Angus, D.C. (1998). Prediction of outcome in critically ill patients. In: Critical Care Nephrology. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5482-6_3

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