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Cardiovascular Subphenotypes in Acute Respiratory Distress Syndrome. | LitMetric

AI Article Synopsis

  • The study aimed to use clustering methods on transthoracic echocardiography (TTE) and hemodynamic parameters to identify subtypes of circulatory failure in patients with acute respiratory distress syndrome (ARDS) and to see how these relate to mortality compared to traditional definitions of right ventricular dysfunction (RVD).
  • Conducted at a university hospital ICU in Birmingham, UK, the retrospective study analyzed TTE data from 801 ICU patients diagnosed with ARDS over five years, revealing four distinct cardiovascular subphenotypes with varying 90-day mortality rates.
  • The findings suggest that these subphenotypes provide a better understanding of the underlying mechanisms of circulatory failure in ARDS and indicate that class 3 (dilated RV with impaired syst

Article Abstract

Objectives: To use clustering methods on transthoracic echocardiography (TTE) findings and hemodynamic parameters to characterize circulatory failure subphenotypes and potentially elucidate underlying mechanisms in patients with acute respiratory distress syndrome (ARDS) and to describe their association with mortality compared with current definitions of right ventricular dysfunction (RVD).

Design: Retrospective, single-center cohort study.

Setting: University Hospital ICU, Birmingham, United Kingdom.

Patients: ICU patients that received TTE within 7 days of ARDS onset between April 2016 and December 2021.

Interventions: None.

Measurements And Main Results: Latent class analysis (LCA) of TTE/hemodynamic parameters was performed in 801 patients, 62 years old (interquartile range, 50-72 yr old), 63% male, and 40% 90-day mortality rate. Four cardiovascular subphenotypes were identified: class 1 (43%; mostly normal left and right ventricular [LV/RV] function), class 2 (24%; mostly dilated RV with preserved systolic function), class 3 (13%, mostly dilated RV with impaired systolic function), and class 4 (21%; mostly high cardiac output, with hyperdynamic LV function). The four subphenotypes differed in their characteristics and outcomes, with 90-day mortality rates of 19%, 40%, 78%, and 59% in classes 1-4, respectively ( p < 0.0001). Following multivariable logistic regression analysis, class 3 had the highest odds ratio (OR) for mortality (OR, 6.9; 95% CI, 4.0-11.8) compared with other RVD definitions. Different three-variable models had high diagnostic accuracy in identifying each of these latent subphenotypes.

Conclusions: LCA of TTE parameters identified four cardiovascular subphenotypes in ARDS that more closely aligned with circulatory failure mechanisms and mortality than current RVD definitions.

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Source
http://dx.doi.org/10.1097/CCM.0000000000005751DOI Listing

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