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A Journal on Angiology
Official Journal of the , the International Union of Phlebology and the
Indexed/Abstracted in: BIOSIS Previews, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 0,899
International Angiology 2016 April;35(2):184-91
Typical symptoms for prediction of outcome and risk stratification in acute pulmonary embolism
Karsten KELLER 1, 2, Johannes BEULE 3, Joern O. BALZER 4, 5, Wolfgang DIPPOLD 3 ✉
1 Department of Medicine II, University Medical Center Mainz, Mainz, Germany; 2 Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany (Johannes Gutenberg-University Mainz); 3 Department of Internal Medicine, St. Vincenz and Elisabeth Hospital Mainz, Mainz, Germany; 4 Department of Radiology and Nuclear Medicine, Catholic Clinic Mainz, Mainz, Germany; 5 Department of Diagnostic and Interventional Radiology, University Clinic, Johann Wolfgang Goethe University Frankfurt, Frankfurt, Germany
BACKGROUND: Clinical presentation of pulmonary embolism (PE) comprises a wide spectrum from asymptomatic incidental finding to typical symptoms with chest pain, dyspnea, hemoptysis and syncope/collapse. We aimed to investigate typical symptoms of PE and increasing number of these symptoms to predict outcome in acute PE.
METHODS: Data of PE patients were analysed retrospectively. According to the typical symptoms patients were subdivided in groups with 0, 1, 2, or ≥3 symptoms, which were compared with Kruskal-Wallis-Test. Logistic regression models were computed to investigate the association between the symptoms as well as the groups with the outcome parameters in-hospital death, myocardial necrosis, Shock-Index ≥1.0 and (right ventricular dysfunction (RVD). ROC curves were calculated to test the effectiveness of increasing number of symptoms to predict the outcome parameters.
RESULTS: One hundred eighty-two PE patients (61.5% female, mean age 68.5±15.3 years) were included in this study. 5 patients (2.7%) died in-hospital. Logistic regression models revealed associations between syncope/collapse and in-hospital death (OR 7.269, 95%CI 0.894-59.130, P=0.0636), myocardial necrosis (OR2.872, 0.904-9.130, P=0.0738), Shock-Index ≥1.0 (OR 4.906, 1.440-16.721, P=0.00110) and RVD (OR 5.265, 1.078-25.708, P=0.0401). Dyspnea and myocardial necrosis were also associated (OR 3.245, 1.127-9.348, P=0.0292). Increasing number of symptoms were not associated with in-hospital death, but absence of typical symptoms was associated with lower frequency of myocardial necrosis (OR 0.212, 0.046-0.976, P=0.0464). Effectiveness of increasing number of symptoms to predict myocardial necrosis was only moderate (AUC 0.608).
CONCLUSIONS: The symptom syncope/collapse is connected with poorer outcome in acute PE. An increasing number of symptoms failed to be useful for outcome prediction and risk stratification in acute PE.