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Updated: Jun 7, 2025

A Novel Method: Super-selective Adrenal Venous Sampling
Published on: September 15, 2017
Outcomes of ST-Segment Elevation Myocardial Infarction in Patients With Adrenal Insufficiency
Nadhem Abdallah1, Abdilahi Mohamoud1, Mahmoud Ismayl2
1Department of Internal Medicine, Hennepin Healthcare, Minneapolis, MN 55415, USA.
Context:
Patients with adrenal insufficiency (AI) have both increased risk of cardiovascular disease and adverse outcomes with many medical emergencies. However, limited data exist specifically regarding ST-segment elevation myocardial infarction (STEMI) in the context of AI.
Objective:
To evaluate associations between AI and in-hospital outcomes of patients with STEMI.
Methods:
Admissions for STEMI were identified in the 2016-2019 National Inpatient Sample. In-hospital outcomes were compared between patients with and without AI. The primary outcome was in-hospital mortality. Secondary outcomes included percutaneous coronary intervention (PCI), coronary artery bypass graft (CABG), intervention, acute kidney injury (AKI), vasopressor use, mechanical circulatory support (MCS), mechanical ventilation, ventricular tachycardia (VT), hospital length of stay (LOS), and total charges. Multivariable regression models were used to adjust for potential confounders.
Results:
Among 690 430 STEMI hospitalizations, 1382 (0.2%) had a diagnosis of AI. AI was associated with higher odds of in-hospital mortality (adjusted OR [aOR] 1.51, 95% CI 1.03-2.2), lower odds of PCI (aOR 0.73, 95% CI 0.55-0.98), higher odds of CABG (aOR 2.8, 95% CI 1.89-4.2) and, AKI (aOR 2.38, 95% CI 1.72-3.3), VT (aOR 1.55, 95% CI 1.1-2.2), need for vasopressors (aOR 2.34, 95% CI 1.33-4.1), mechanical ventilation (aOR 2.11, 95% CI 1.54-2.89), and MCS (aOR 2.18, 95% CI 1.57-3.03). Patients with AI also had a longer LOS (10 days vs 4.2 days, P < .001) and higher charges ($258 475 vs $115 505, P < .001).
Conclusion:
Patients with AI admitted for STEMI had higher in-hospital mortality, nonfatal adverse outcomes, and resource utilization than patients without AI.
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