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Updated: Jan 25, 2026

A Porcine Model of Acute Autologous Pulmonary Embolism
Published on: September 6, 2024
Sex-specific differences in pulmonary embolism
Karsten Keller1, Lisa Rappold2, Aslihan Gerhold-Ay3
1Center for Thrombosis and Hemostasis (CTH), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Introduction:
Sex-specific differences regarding risk factors, symptoms and prognosis have been reported for several cardiovascular diseases. For patients with pulmonary embolism (PE), sex-specific data are limited and inconsistent. We aimed to investigate sex-specific differences in PE.
Materials And Methods:
Over a 10-year period (01/2003-09/2013), patients with confirmed PE were enrolled in a prospective single-centre cohort study.
Results:
We prospectively examined 569 PE patients (55.9% women). Men more often had cancer (20.7% vs. 13.5%, p = 0.024) and unprovoked PE (61.0% vs. 47.5%, p = 0.001) while women more frequently presented with risk factors for venous thromboembolism such as older age (median, 71 [IQR, 55-79] vs. 67 [53-75] years, p = 0.008), surgery/trauma/immobilisation (38.4% vs. 29.5%, p = 0.026) and sex-hormone therapy (14.8% vs. 0.8%, p < 0.001). Overall, 84 patients (14.8%) had an adverse 30-day outcome and 43 (7.6%) died within 30 days; outcomes did not differ between males and females and were not influenced by the patients' sex. Risk stratification markers and models such as right ventricular dysfunction on TTE/CT, cardiac troponin, sPESI, Bova score and 2014 ESC guidelines algorithm predicted adverse outcome in normotensive female patients only, while tachycardia, hypoxia, NT-proBNP and modified FAST score were able to predict an adverse outcome in both sexes. Using sex-specific biomarker cut-off values, the 2014 ESC guidelines algorithm was able to predict adverse outcome in both sexes.
Conclusions:
The 30-day adverse outcomes did not differ between male and female PE patients and were not influenced by the patients' sex despite sex-specific differences in the prognostic performance of risk stratification markers/models.
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