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. 2015 Mar 1;1(1):18-23.
doi: 10.1515/jccm-2015-0004. eCollection 2015 Jan.

The Role of Angiopoietine-2 in the Diagnosis and Prognosis of Sepsis

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The Role of Angiopoietine-2 in the Diagnosis and Prognosis of Sepsis

Janos Szederjesi et al. J Crit Care Med (Targu Mures). .

Abstract

Introduction: Angiopoietin-2 (ANG-2) is a new biomarker whose blood-serum values increase in sepsis and its expression is elevated in line with the severity of the degree of inflammation. The aim of this study was to identify the diagnostic role of ANG-2 in patients with non-surgical sepsis addmitted to an intensive care unit.

Material and methods: This was a prospective randomized study including 74 patients admitted in the Clinic of Intensive Care of the County Clinical Emergency Hospital Tirgu Mureș, divided into two groups: Group S: patients with sepsis (n=40, 54%) and Group C:control, without sepsis (n=34, 46%). ANG-2 levels were determined in both groups.

Results: From the Group S, 14 patients (35%) had positive haemocultures. ANG-2 values varied between 1 and 43 ng/mL, with an average of 6.0 ng/mL in patients without sepsis and 10.38 ng/mL in patients with sepsis (p=0.021). A positive correlation between ANG-2 and SAPS II, SOFA and APACHE II severity scores was demonstrated, as was a positive correlation between serum levels of ANG-2 and procalcitonine. ANG-2 had a 5.71% specificity and 74.36% sensitivity for diagnosis of sepsis.

Conclusions: ANG-2 serum levels were elevated in sepsis, being well correlated with PCT values and prognostic scores. ANG-2 should be considered as a useful biomarker for the diagnosis and the prognosis of this pathology.

Keywords: Angiopoietin-2; infection; sepsis.

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Conflict of interest statement

Conflict of interest: The authors declare that they have no conflict of interest.

Figures

Figure 1
Figure 1
ANG-2 values in the studied patients
Figure 2
Figure 2
ROC curve for specificity and sensitivity of ANG 2 for diagnosis of sepsis
Figure 3
Figure 3
ROC curve for specificity and sensitivity of ANG 2 for predicting mortality rate

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