Body Mass Index and Mortality in Cardiogenic Shock

Maya Guglin, Elric Zweck, Manreet Kanwar, Shashank S. Sinha, Arvind Bhimaraj, Borui Li, Jacob Abraham, Saraschandra Vallabhajosyula, Jaime Hernandez-Montfort, Rachna Kataria, Daniel Burkhoff, Navin K. Kapur

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We explored the association of body mass index (BMI) with mortality in cardiogenic shock (CS). Using the Cardiogenic Shock Working Group registry, we assessed the impact of BMI on mortality using restricted cubic splines in a multivariable logistic regression model adjusting for age, gender, and race. We also assessed mortality, device use, and complications in BMI categories, defined as underweight (<18.5 kg/m2), normal (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), obese (30-39.9 kg/m2), and severely obese (>40 kg/m2) using univariable logistic regression models. Our cohort had 3,492 patients with CS (mean age = 62.1 ± 14 years, 69% male), 58.0% HF-related CS (HF-CS), and 27.8% acute myocardial infarction (AMI) related CS. Body mass index was a significant predictor of mortality in multivariable regression using restricted cubic splines (p < 0.0001, p = 0.194 for nonlinearity). When stratified by categories, patients with healthy weight had lower mortality (29.0%) than obese (35.1%, p = 0.003) or severely obese (36.7%, p = 0.01). In HF-CS cohort, the healthy weight patients had the lowest mortality (21.7%), whereas it was higher in the underweight (37.5%, p = 0.012), obese (29.2%, p = 0.003), and severely obese (29.9%, p = 0.019). There was no difference in mortality among BMI categories in AMI-CS.

Original languageEnglish (US)
Pages (from-to)885-891
Number of pages7
JournalASAIO Journal
Volume70
Issue number10
DOIs
StatePublished - Oct 1 2024

Keywords

  • acute myocardial infarction
  • cardiogenic shock
  • heart failure

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Biomedical Engineering

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