Abstract 158: Burden And Predictors Of Mortality And Major Adverse Cardiovascular Outcomes In Heart Failure Preserved Ejection Fraction Patients Admitted With Acute Respiratory Distress Syndrome (ARDS)

Abstract

Background: Relation between Acute Respiratory Distress Syndrome (ARDS) and heart failure with preserved ejection fraction (HFpEF) are understudied and the data on these two concomitantly is lacking in the literature. Therefore, we sought to assess the burden and predictors of major adverse cardiovascular and cerebrovascular events (MACCE) and all-cause mortality in ARDS patients with HFpEF. Methods: The National Inpatient Sample (NIS) database was used to identify patients with HFpEF (after excluding patients with heart failure reduced ejection fraction) who required inpatient hospitalization for ARDS. Administrative ICD10 codes were used to identify the population of interest. Multivariate regression analysis was performed to assess the predictors of all-cause mortality and major adverse cardiovascular outcomes in the selected cohort. Results: Of 28,731,562 hospital admissions, 3,010 (0.14%) patients were admitted with ARDS and had HFpEF. Of those patients, 1,095 (36.4%) had all-cause mortality, and 1,415 (47.0%) had MACCE. In multivariate regression analysis, older age (OR 3.60, CI 1.40-9.28), 26-50 th quartile income (OR 2.10, CI 1.13-3.91), urban hospital admissions (OR 2.19, CI 1.20-4.01) as well as comorbidities such as coagulopathy (OR 1.77, CI 1.09-2.88), fluid and electrolyte imbalance (OR 1.65, CI 1.05-2.60), prior CABG (OR 2.99, CI 1.19-7.47), need for mechanical ventilation (OR 2.18, CI 1.12-4.23) were significant predictors of all-cause mortality. In our analysis, chronic pulmonary disease, valvular heart disease, hypertension, smoking, obesity were not significant predictors. The result of our analysis is reported in Table 1. Conclusion: These results suggest HFpEF remains important comorbidity in ARDS patients. Here, we identified predictors of poor outcomes in this patient population which may help physicians to identify the high-risk patients and decrease mortality.