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Updated: Jun 13, 2025

An Intact Pericardium Ischemic Rodent Model
Published on: September 2, 2021
Pericardial tamponade in coronary interventions: Morbidity and mortality
Saurabh Deshpande1, Hiroyuki Sawatari2,3, Kapil Rangan1
1Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bangalore, India.
Background:
Cardiac tamponade or pericardial tamponade (PT) can be a complication following invasive cardiac procedures.
Methods:
Patients who underwent various procedures in the cardiac catheterization lab (viz. coronary interventions) were identified using the International Classification of Diseases, Ninth and Tenth Edition, Clinical Modification (International classification of diseases [ICD]-9-Clinical modification [CM] and ICD-10-CM, respectively) from the Nationwide Inpatient Sample (NIS) database. Patient demographics, presence of comorbidities, PT-related events, and in-hospital death were also abstracted from the NIS database.
Results:
The frequency of PT-related events in the patients undergoing CI from 2010 to 2017 ranged from 3.3% to 8.4%. Combined in-hospital mortality/morbidity of PT-related events were higher with increasing age (odds ratio [OR] [95% CI]: chronic total occlusion (CTO) = 1.19 [1.10-1.29]; acute coronary syndrome (ACS) = 1.21 [1.11-1.33], both p < 0.0001) and female sex (OR [95%CI]: CTO = 1.70 [1.45-2.00]; ACS = 1.72 [1.44-2.06], both p < 0.0001). In-hospital mortality related to PT-related events was found to be 8.5% for coronary procedures. In-hospital mortality was highest amongst the patients undergoing percutaneous transluminal coronary angioplasty (PTCA) for ACS (ACS vs. non-CTO PTCA vs. CTO PTCA: 15.7% vs. 10.4% and 14.4%, p < 0.0001 and ACS vs. non-CTO PTCA vs. CTO PTCA: 12.1% vs. 8.1% and 5.6%, p = 0.0001, respectively).
Conclusions:
In the real-world setting, PT-related events in CI were found to be 3.3%-8.4%, with in-hospital mortality of 8.5%. The patients undergoing PTCA for ACS were found to have highest mortality. Older patients undergoing CTO PTCA independently predicted higher mortality.
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