Hemodynamic support in acute decompensated heart failure: clinical and laboratory characteristics, predictors of unfavorable prognosis
https://doi.org/10.24884/2072-6716-2026-27-1-63-69
Abstract
Introduction. Acute decompensation of chronic heart failure (ADCHF) is one of the leading causes of hospitalization in cardiac intensive care units (ICUs), associated with high mortality (up to 43% in the first year). The prognosis for patients requiring inotropic and/or vasopressor drugs is particularly unfavorable, creating a need to improve risk stratification methods.
Objective. To develop a model for predicting the need for inotropic and/or vasopressor therapy in patients with acute decompensation of chronic heart failure.
Methods. A prospective cohort study of 140 patients in the ICU. An analysis of clinicaldemographic, laboratory, and instrumental data was performed using multivariate logistic regression and ROC-analysis.
Results. A highly accurate model was created (AUROC 0.96), including three independent predictors: creatinine level >136.9 µmol/L (OR=22.32), alkaline phosphatase >120.1 U/L (OR=41.78), and the assessment of the HF phenotype. At a threshold of 9 points, the model’s sensitivity was 100%, specificity — 79%. Mortality in the group requiring support was significantly higher (32% vs.12.2%).
Conclusion. The model allows for accurate risk stratification of the need for inotropic/vasopressor drugs, which is especially important in emergency care settings and opens up opportunities for changing approaches to pharmacotherapy in patients with ADHF.
About the Authors
M. V. Vatsik-GorodetskaiaRussian Federation
Maria V. Vatsik-Gorodetskaia
Moscow
D. I. Malyuk
Russian Federation
Dmitry I. Malyuk
Moscow
L. В. Berikashvili
Russian Federation
Levan В. Berikashvili
Moscow
E. M. Korolenok
Russian Federation
Elizaveta М. Korolenok
Moscow
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Review
For citations:
Vatsik-Gorodetskaia M.V., Malyuk D.I., Berikashvili L.В., Korolenok E.M. Hemodynamic support in acute decompensated heart failure: clinical and laboratory characteristics, predictors of unfavorable prognosis. EMERGENCY MEDICAL CARE. 2026;27(1):63-69. (In Russ.) https://doi.org/10.24884/2072-6716-2026-27-1-63-69
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