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 language | English (US) |
|---|---|
| Pages (from-to) | 885-891 |
| Number of pages | 7 |
| Journal | ASAIO Journal |
| Volume | 70 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 1 2024 |
Keywords
- acute myocardial infarction
- cardiogenic shock
- heart failure
ASJC Scopus subject areas
- Biophysics
- Bioengineering
- General Medicine
- Biomaterials
- Biomedical Engineering
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