JOURNAL ARTICLE

Type 2 Myocardial Infarction and Inpatient Mortality in Septic Shock: Insights from a Nationally Representative Sample.

  • Published In: Journal of Intensive Care Medicine, 2026, v. 41, n. 5. P. 398 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Adeyemi, Boluwaduro; Fatunmbi, Oluwafunmbi; Ogunniyi, Kayode; Galindo Castaneda, Jesus Antonio; Retzer, Elizabeth 3 of 3

Abstract

This article examines the association between type 2 myocardial infarction (type 2 MI)—defined as myocardial oxygen supply-demand imbalance without acute athero-thrombosis—and inpatient mortality among patients hospitalized with septic shock, using data from the U.S. National Inpatient Sample (NIS) from 2016 to 2020. The study found no overall significant difference in mortality between septic shock patients with and without type 2 MI; however, subgroup analysis revealed that younger patients (aged 18–39) with type 2 MI had a significantly higher mortality risk, while patients with coronary artery disease (CAD) and type 2 MI had a lower mortality risk. Other comorbidities such as chronic heart failure, tachyarrhythmias, chronic kidney disease, and iron deficiency anemia did not significantly affect mortality outcomes. These findings highlight the importance of demographic factors and comorbidities in interpreting the prognostic value of type 2 MI in septic shock and suggest further research is needed to clarify underlying mechanisms and optimize clinical management, particularly in younger patients and those without CAD.

Additional Information

  • Source:Journal of Intensive Care Medicine. 2026/05, Vol. 41, Issue 5, p398
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2026
  • ISSN:0885-0666
  • DOI:10.1177/08850666251368272
  • Accession Number:193364203
  • Copyright Statement:Copyright of Journal of Intensive Care Medicine is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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