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An Intact Pericardium Ischemic Rodent Model
Published on: September 2, 2021
Epidemiology and Risk Factors for Constrictive Pericarditis in a Statewide Australian Cohort of Patients With
Timothy N Kwan1, Gemma Kwan1, David Brieger1
1Department of Cardiology, Concord General Repatriation Hospital, The University of Sydney, Concord, New South Wales, Australia.
Insights
Constrictive pericarditis is rare, but risk factors like tuberculosis, malignancy, liver disease, and heart failure increase its likelihood. Long-term monitoring is crucial for patients with pericardial disease.
Area of Science:
- Cardiology
- Epidemiology
Background:
- Constrictive pericarditis is a serious complication of pericardial disease.
- Limited longitudinal studies exist on its risk factors.
- This study evaluates epidemiology and predictors in a large cohort.
Purpose of the Study:
- To assess the epidemiology and identify predictors of constrictive pericarditis.
- To analyze risk factors in a large, population-based cohort.
Main Methods:
- Retrospective cohort study (2004-2021) using the NSW Admitted Patient Data Collection database.
- Multivariable logistic regression for index admission risk factors.
- Time-dependent Cox regression and Fine-Gray method for follow-up risk factors.
Main Results:
- 1.7% of 45,445 patients developed constrictive pericarditis.
- Index presentation risk factors: malignancy, tuberculosis, liver disease, heart failure.
- Follow-up risk factors: heart failure hospitalization, recurrent pericardial disease, pericardiocentesis.
Conclusions:
- Constrictive pericarditis is rare but associated with specific conditions.
- Tuberculosis, malignancy, liver disease, heart failure, and procedures increase risk.
- Long-term vigilance is essential for at-risk populations.
Background:
Constrictive pericarditis is a rare but serious complication of pericardial disease, with limited longitudinal studies assessing its risk factors. In this study we evaluated the epidemiology and predictors of constrictive pericarditis in a large population-based cohort.
Methods:
We conducted a retrospective cohort study of all hospitalized patients with pericardial disease from 2004 to 2021 using the Australian New South Wales Admitted Patient Data Collection database. Multivariable logistic regression identified risk factors for constrictive pericarditis at index admission with pericardial disease, whereas time-dependent Cox regression and the Fine-Gray method were used to assess risk factors during follow-up.
Results:
Among 45,445 patients with pericardial disease, 763 (1.7%) developed constrictive pericarditis (median age 64.3 years; 63.4% men). The median time from cardiac surgery to diagnosis of constriction was 6 months and from autoimmune disease diagnosis it was 2 years. Of these patients, 530 (1.2%) had constriction at index presentation of pericardial disease and 233 (0.5%) developed constriction during follow-up. Constriction at index presentation was associated with older age, malignancy (odds ratio [OR] 1.5, 95% confidence interval [CI] 1.2-1.8), tuberculosis (OR 3.9, 95% CI 1.4-8.9), liver disease (OR 1.7, 95% CI 1.3-2.2), and heart failure (OR 2.7 95% CI 2.2-3.3). Constriction identified during follow-up was more common after hospitalization for heart failure (hazard ratio [HR] 5.3, 95% CI 3.4-8.2), nonconstrictive recurrent pericardial disease requiring hospitalization (HR 3.7, 95% CI 2.3-6.2), or pericardiocentesis (HR 3.6, 95% CI 2.7-4.8).
Conclusions:
In this large, contemporary cohort, constrictive pericarditis was rare but occurred more commonly after a diagnosis of tuberculosis, malignancy, liver disease, heart failure, recurrent pericardial disease, and pericardiocentesis. These findings highlight the importance of long-term vigilance when considering constriction in at-risk populations.
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