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Table 1.

Baseline patient characteristics.

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Table 2.

Disease etiology of the study population.

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Figure 1.

miR-150 is down-regulated upon stimulation with LPS.

U937 cells were stimulated with PMA into a monocytic differentiation. miR-150 expression levels in response to stimulation with LPS for 48 h were measured by qPCR within cells (A) and cell supernatant (B).

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Figure 2.

Serum miR-150 levels of critically ill patients at ICU admission.

(A) Serum miR-150 levels at admission to the intensive care unit were analyzed by qPCR and revealed a trend toward reduced miR-150 concentrations in critically ill patients (n = 223) as compared with healthy controls (n = 76). (B) Serum miR-150 concentrations at admission to the ICU were not significantly changed in critically ill patients with high initial Acute Physiology and Chronic Health Evaluation (APACHE) II scores (>10) in comparison to patients with low APACHE-II-scores (</ = 10). Box plot are displayed, where the bold line indicates the median per group, the box represents 50% of the values, and horizontal lines show minimum and maximum values of the calculated non-outlier values; asterisks and open circles indicate outlier values.

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Table 3.

Correlations of miR-150 serum concentrations at ICU admission with other laboratory markers.

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Figure 3.

Serum miR-150 concentrations are unaltered in sepsis.

(A) miR-150 serum levels were unchanged in patients that fulfilled sepsis criteria (n = 157) compared to patients with non-septic etiology of critical illness. (B) miR-150 serum did not vary between the different sources of septic diseases (C) miR-150 serum did not vary between the different etiologies of non-septic diseases.

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Figure 4.

Prediction of ICU mortality by miR-150 serum concentrations.

(A) Patients that die during the course of ICU treatment had a tendency towards lower miR-150 serum levels on admittance to ICU than survivors (P = 0.063, U-test). Box plot are displayed, where the bold line indicates the median per group, the box represents 50% of the values, and horizontal lines show minimum and maximum values of the calculated non-outlier values. (B) Kaplan-Meier survival curves of ICU patients are displayed, showing that patients with miR-150 levels within the lowest quartile of all patients displayed the lowest short-term survival at the ICU. Significances are given in the figure.

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Figure 5.

Low miR-150 serum concentrations are associated with an impaired prognosis of critically ill patients.

(A) Long-term surviving patients had higher serum miR-150 levels on admittance to ICU (P = 0.009, U-test) compared to patients that died during long term follow up which displayed significantly lower miR-150 levels. Box plot are displayed, where the bold line indicates the median per group, the box represents 50% of the values, and horizontal lines show minimum and maximum values of the calculated non-outlier values. (B) ROC curve analyses revealed a high prognostic accuracy of miR-150 for overall survival compared to the APACHE-II-score. (C) Kaplan-Meier curve analysis of ICU patients revealing that patients with miR-150 concentrations within the lower quartile had an increased overall mortality as compared to patients with miR-150 serum concentrations of highest quartile. P-values for the Cox regression analysis are given in the figure. (D) Kaplan-Meier survival curves of ICU patients showed that patients with low miR-150 concentrations had an increased overall mortality in the long-term follow-up compared to patients with higher miR-150 levels. ** P<0.01.

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Table 4.

Mortality of critically ill patients in relation to their miR-150 serum concentrations at ICU admission to the ICU.

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