Does Albumin Predict the Risk of Mortality in Patients with Cardiogenic Shock?

Tobias Schupp1,2, Michael Behnes1,2, Jonas Rusnak1,2

  • 1Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 69117 Heidelberg, Germany.

Insights

Low albumin levels and declining albumin during intensive care unit (ICU) treatment predict higher mortality in cardiogenic shock (CS) patients. Albumin assessment improves risk stratification for CS patients.

Area of Science:

  • Cardiology
  • Intensive Care Medicine
  • Clinical Chemistry

Background:

  • Cardiogenic shock (CS) is associated with high intensive care unit (ICU) mortality.
  • Prognostic value of albumin in CS patients is not well-established.
  • Limited data exists on albumin's role in predicting outcomes for CS patients.

Purpose of the Study:

  • To investigate the prognostic impact of albumin levels on 30-day all-cause mortality in CS patients.
  • To examine the prognostic performance of albumin decline during ICU treatment.
  • To assess the utility of albumin in CS risk stratification models.

Main Methods:

  • Retrospective analysis of 230 CS patients from 2019-2021.
  • Laboratory values, including albumin, were collected on days 1, 2, 3, 4, and 8.
  • Statistical analyses included Kaplan-Meier, Cox regression, and C-statistics for mortality prediction.

Main Results:

  • Overall 30-day mortality was 54%.
  • Low baseline albumin (<30.0 g/L) and albumin decline (≥20% from day 1 to day 3) were associated with increased 30-day mortality.
  • Albumin levels improved risk stratification, especially when combined with lactate, creatinine, and troponin I (AUC=0.745).

Conclusions:

  • Low baseline albumin and albumin decrease during ICU stay are significant predictors of poor prognosis in CS patients.
  • Incorporating albumin assessment into risk stratification models can enhance prognostic accuracy for CS.
  • Albumin monitoring offers a valuable tool for managing CS patients.

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