Shock index for outcome and risk stratification in acute pulmonary embolism

Abstract Introduction Risk stratification of patients with acute pulmonary embolism (PE) is crucial in deciding appropriate therapy management. Shock index (SI) is rapidly available and a reliable parameter. We aimed to investigate SI for short term outcome in acute PE. Materials and methods Data of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Artery research 2016-09, Vol.15 (1), p.30-35
Hauptverfasser: Keller, Karsten, Coldewey, Meike, Geyer, Martin, Beule, Johannes, Balzer, Jörn Oliver, Dippold, Wolfgang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Abstract Introduction Risk stratification of patients with acute pulmonary embolism (PE) is crucial in deciding appropriate therapy management. Shock index (SI) is rapidly available and a reliable parameter. We aimed to investigate SI for short term outcome in acute PE. Materials and methods Data of 182 patients with acute PE were analysed retrospectively. SI was defined as heart rate divided by systolic blood pressure. Logistic regression models were calculated to investigate associations between SI and in-hospital-death, myocardial necrosis and presence of right ventricular dysfunction (RVD) respectively. Moreover ROC curves and cut-off values for SI predicting in-hospital death, myocardial necrosis and RVD were computed. Results 182 patients (61.5% female, mean age 68.5 ± 15.3 years) with acute PE event were included in the study. 5 patients (2.7%) died an in-hospital death. Logistic regression models revealed an association between SI and respectively in-hospital death (OR 5.854, 95% CI 1.876–18.274, P = 0.00234), myocardial necrosis (OR 5.043, 95% CI 1.362–18.674, P = 0.0154) and RVD (OR 53.539, 95% CI 6.810–420.914, P = 0.000155). ROC analysis for SI predicting in-hospital death, myocardial necrosis and RVD revealed an AUC of 0.806, 0.636 and 0.713 respectively with respectively SI cut-off values of 0.89, 0.75 and 0.54. Conclusions SI is a significant predictor of in-hospital death, myocardial necrosis and RVD. The effectiveness of SI to predict in-hospital death is high with an optimal cut-off value of 0.89 for differentiation between PE patients with lower and higher risk to die in hospital after acute PE event.
ISSN:1872-9312
1876-4401
1876-4401
DOI:10.1016/j.artres.2016.05.002