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Technical Briefs |
1 Laboratory of Nephrology and2 Chair of Nephrology, University of Torino, Torino, Italy;
aaddress correspondence to this author at: San Giovanni Battista di Torino, S.C.U. Nefrologia, Dialisi e Trapianto, Laboratory of Nephrology, Corso Bramante 88, 10126 Torino, Italy; fax 39-011-6963158, e-mail massimogai@katamail.com
| The first 20% of the full text of this article appears below. |
Predicting complications in intensive care units (ICUs) is an important step in the care of critically ill patients. Intensive care specialists have developed numerous prognostication tools for patients admitted to the ICU; however, although useful, many of these tools are not applicable in a clinical setting, and multiple severity-of-illness scores often underestimate hospital mortality in several conditions (1)(2).
Many acute pathologic states, such as burns, trauma, bleeding, and sepsis, are associated with the induction of a "systemic inflammatory response", which is characterized by the release of pro-inflammatory mediators and the activation of different types of cellular elements (3)(4)(5)(6). This response primarily involves endothelial cells and leukocytes (7)(8)(9). It is possible to use renal function as an early marker for systemic illness because kidney involvement is a recognized complication of several systemic diseases. Acute renal failure (ARF), usually attributable to intrarenal hemodynamic changes, often complicates the clinical course of critically ill patients (10)(11)(12). Microalbuminuria has been proposed as a marker of capillary leak severity in the ICU (13)(14). It has previously been demonstrated that urinary albumin
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