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Updated: May 14, 2026

An Intact Pericardium Ischemic Rodent Model
Published on: September 2, 2021
Prognostic predictors in pericardiectomy for chronic constrictive pericarditis
Se Hun Kang1, Jong-Min Song1, Minsoo Kim1
1Division of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
High early diastolic mitral inflow velocity and diabetes mellitus predict poor prognosis after pericardiectomy for constrictive pericarditis. Echocardiography can help identify high-risk patients.
Area of Science:
- Cardiology
- Cardiac Surgery
- Diagnostic Imaging
Background:
- Prognosis following pericardiectomy for constrictive pericarditis is not well-defined, particularly in Asian populations.
- Causes of constrictive pericarditis vary geographically, necessitating region-specific prognostic factor identification.
Purpose of the Study:
- To identify preoperative prognostic factors and clinical outcomes in patients undergoing pericardiectomy for chronic constrictive pericarditis.
- To evaluate the utility of Doppler echocardiography in predicting outcomes after pericardiectomy.
Main Methods:
- Retrospective analysis of 85 patients with chronic constrictive pericarditis undergoing pericardiectomy.
- Evaluation of preoperative clinical, imaging, and echocardiographic data.
- Follow-up for all-cause mortality over a median of 38.5 months.
Main Results:
- Fifteen patients (17.6%) died during follow-up.
- Higher aspartate aminotransferase, smaller left ventricular end-systolic dimension index, and higher early diastolic mitral inflow velocity were observed in non-survivors.
- Diabetes mellitus (HR 4.610) and high early diastolic mitral inflow velocity (HR 1.050/cm/s) were independent predictors of mortality.
Conclusions:
- Preoperative high early diastolic mitral inflow velocity and diabetes mellitus are associated with poor prognosis after pericardiectomy.
- Doppler echocardiography, specifically early diastolic mitral inflow velocity, is valuable for predicting mortality risk in these patients.
- These findings aid in risk stratification and patient management before pericardiectomy.
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