DOI: 10.1161/circ.148.suppl_1.17953 ISSN: 0009-7322

Abstract 17953: Predictors of Mortality Among Hospitalized Patients With Chronic Constrictive Pericarditis

Aniekeme S Etuk, Inimfon Jackson, Olalekan Olanipekun, ADENIYI A AJENIFUJA, Olusola Olubowale, Mina Jacob
  • Physiology (medical)
  • Cardiology and Cardiovascular Medicine

Introduction: Studies have been conducted on patients with constrictive pericarditis but there is no literature on the factors associated with mortality among hospitalized patients in this population. We examined the predictors of mortality among patients hospitalized with chronic constrictive pericarditis with or without arrhythmias.

Hypothesis: Patient and hospital associated factors can predict mortality among hospitalized patients with chronic constrictive pericarditis.

Methods: Retrospective cohort analyses were conducted using data from the National Inpatient Sample (NIS), 2016-2020. Multivariate logistic regression modelling was used to examine the factors associated with mortality among hospitalized patients with chronic constrictive pericarditis with or without arrhythmias.

Results: Among those with arrhythmias, African Americans (AOR: 1.83; CI: 1.36-2.48) and Hispanics (AOR: 2.08; CI: 1.43-3.01) had higher odds of mortality compared to non-Hispanic whites. Those admitted electively were 62% (AOR: 0.38; CI: 0.27-0.53) less likely to die than the non-elective cases. Length of stay of more than 5 days, (AOR: 1.78; CI: 1.41-2.24) was associated with higher odds of mortality relative to 5 days or less. Other predictors of mortality were charlson comorbidity index and median household income national quartiles. Furthermore, among those without arrhythmias, older age (AOR: 1.88; CI: 1.37-2.59), and longer length of hospital stay (AOR: 2.87; CI: 2.27-3.63) were associated with higher odds of mortality.

Conclusions: Our findings highlight the predictors of mortality among patients hospitalized with chronic constrictive pericarditis. Additional studies are needed to further explore patient and hospital related factors associated with mortality, especially among those with comorbid arrhythmias. This will enable physicians to identify high risk patients who may benefit from closer monitoring.

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