Impact of comorbidity burden on outcome in patients with cardiogenic shock: A Cardiogenic Shock Working Group analysis

  • Jonas Sundermeyer
  • , Song Li
  • , Van Khue Ton
  • , Rachna Kataria
  • , Elric Zweck
  • , Kevin John
  • , Manreet K. Kanwar
  • , Jaime Hernandez-Montfort
  • , Shashank S. Sinha
  • , A. Reshad Garan
  • , Jacob Abraham
  • , Vanessa Blumer
  • , Ajar Kochar
  • , Karthikeyan Ranganathan
  • , Gavin W. Hickey
  • , Mohit Pahuja
  • , Scott Lundgren
  • , Sandeep Nathan
  • , Esther Vorovich
  • , Shelley Hall
  • Wissam Khalife, Andrew Schwartzman, Ju Kim, Oleg Alec Vishnevsky, Justin Fried, Maryjane Farr, Joseph Mishkin, I. Hui Chang, Onyedika Ilonze, Alexandra Arias, Jun Nakata, Jeffrey Marbach, Hiram Bezerra, Ann Gage, Joyce Wald, Sunu Thomas, Faisal Rahman, Amirali Masoumi, Aasim Afsal, Salman Gohar, Rachel Goodman, Karol D. Walec, Peter Natov, Borui Li, Paavni Sangal, Qiuyue Kong, Peter Zazzali, Neil M. Harwani, Saraschandra Vallabhajosyula, Arvind Bhimaraj, Claudius Mahr, Daniel Burkhoff, Navin K. Kapur

Research output: Contribution to journalArticlepeer-review

Abstract

Aims: Comorbidity burden is a major determinant of outcomes. Its prognostic impact on cardiogenic shock (CS) across CS subtypes remains insufficiently characterized. We aimed to characterize the prevalence and distribution of comorbidities in CS, assess their impacts on outcomes, and identify high-risk comorbidity patterns in all-cause, acute myocardial infarction-related (AMI-CS) and heart failure-related CS (HF-CS). Methods and results: Cardiogenic shock patients from the multicentre Cardiogenic Shock Working Group (CSWG) registry (2020–2024) were analysed. We used adjusted logistic regression models to assess the impact of comorbidities individually, in combination, and as a cumulative burden on in-hospital mortality. We developed the Comorbidity Risk Index for Cardiogenic Shock (COMRI-CS) to capture the association between comorbidities and CS mortality. Among 6815 patients (26.5% AMI-CS, 53.6% HF-CS), 6087 (89.3%) presented with ≥1 comorbidity, and 4390 (64.4%) with ≥3 comorbidities. In-hospital mortality increased with comorbidity burden (AMI-CS: 35.4%, 39.6%, 47.1% with 1–3, 4–6, ≥7 comorbidities, respectively; HF-CS: 19.6%, 24.9%, 27.5%, respectively). A high comorbidity burden was independently associated with a 51% higher relative mortality risk in AMI-CS (odds ratio [OR] 1.51, 95% confidence interval [CI] 1.02–2.23, p = 0.037), and a more pronounced increase of 122% in HF-CS (OR 2.22, 95% CI 1.49–3.37, p < 0.001). Distinct high-risk comorbidities and combinations were identified, varying across CS subtypes. With each COMRI-CS point, in-hospital mortality increased by ~5.5%. Conclusions: In this large real-world CS cohort, comorbidity burden was highly prevalent, varied across subtypes, and was independently associated with mortality. Integrating chronic conditions into early CS risk stratification may enhance clinical decision-making in CS management.

Original languageEnglish (US)
JournalEuropean Journal of Heart Failure
DOIs
StateAccepted/In press - 2025
Externally publishedYes

Keywords

  • Acute myocardial infarction-related cardiogenic shock
  • Cardiogenic shock
  • Comorbidities
  • Comorbidity burden
  • Heart failure-related cardiogenic shock
  • Multimorbidity
  • Risk stratification

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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