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Research Article

Red cell distribution width as a novel predictor of mortality in ICU patients

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Pages 40-46 | Received 03 Jul 2010, Accepted 02 Sep 2010, Published online: 21 Oct 2010

Figures & data

Figure 1. Comparisons of Acute Physiology and Chronic Health Evaluation (APACHE) II score (A), ICU mortality rate (B) and the total length of stay in the hospital (TLSH) (C) among patients with different red blood cell distribution width (RDW) tertiles.

Figure 1. Comparisons of Acute Physiology and Chronic Health Evaluation (APACHE) II score (A), ICU mortality rate (B) and the total length of stay in the hospital (TLSH) (C) among patients with different red blood cell distribution width (RDW) tertiles.

Table I. Base-line clinical and laboratory characteristics by tertile of RDW.

Figure 2. ROC curve for Acute Physiology and Chronic Health Evaluation (APACHE) II score, red blood cell distribution width (RDW) and combination of both in predicting ICU mortality.

Figure 2. ROC curve for Acute Physiology and Chronic Health Evaluation (APACHE) II score, red blood cell distribution width (RDW) and combination of both in predicting ICU mortality.

Figure 3. Odds ratio for ICU mortality by logistic regression analysis in four groups. Red blood cell distribution width (RDW) as an additive marker with Acute Physiology and Chronic Health Evaluation (APACHE) II score for predicting ICU mortality.

Figure 3. Odds ratio for ICU mortality by logistic regression analysis in four groups. Red blood cell distribution width (RDW) as an additive marker with Acute Physiology and Chronic Health Evaluation (APACHE) II score for predicting ICU mortality.

Table II. Univariate odds ratios of variables for predicting ICU mortality.

Table III. Independent predictors of ICU mortality by multivariate logistic regression analysis.

Table IV. Independent predictors of TLSH by multivariate linear regression analysis.

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