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Updated: Dec 15, 2025

A Porcine Model of Acute Autologous Pulmonary Embolism
Published on: September 6, 2024
Plasma irisin level associated with hemodynamic parameters and predict clinical outcome in patients with acute
Na Sun1, Youli Fan2, Jiaxue Chang2
1Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin, China.
Background:
The purpose of the present study is to investigate the correlation of plasma irisin level and hemodynamic parameters in patients with acute pulmonary embolism (APE) and to estimate clinical outcome prediction value of plasma irisin level.
Methods:
We prospectively recruited 86 adult patients with APE in the present study. All recruited patients conduct measurement of plasma irisin levels using ELISA kits. Baseline clinical characteristics, hemodynamic parameters and prognostic conditions were evaluated according to different plasma irisin levels.
Results:
According to median values of irisin levels, APE patients were divided into high irisin group (irisin≥6.9 μg/ml) and low irisin group (irisin<6.9 μg/ml). Plasma NT-proBNP (P = 0.044), mean pulmonary artery pressure (mPAP, P = 0.013), systolic pulmonary artery pressure (sPAP, P = 0.001), mean right ventricular pressure (mRVP, P = 0.021) and systolic right ventricular pressure (sPVP, P = 0.003) were higher in low irisin group compared with high irisin group. Hemodynamic parameters of mPAP, sPAP, mRVP and sRVP were negatively correlated with plasma irisin levels. Kaplan- Meier survival analysis showed that APE patients with lower plasma irisin levels had significantly higher clinical worsening event rate (P = 0.026) and could be the independent predictor of prognosis in multivariate analysis (P = 0.035).
Conclusion:
Plasma irisin level was negatively correlated with hemodynamic parameters in patients with APE. Low irisin group patients had significantly higher clinical worsening event rate and could be the independent predictor of clinical outcome in multivariate analysis.
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