[Association between the Controlling Nutritional Status score and long-term outcome in patients with acute heart

X Y Lu1, X H Cheang1, S G Liao1

  • 1Department of Cardiology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.

Insights

The Controlling Nutritional Status (CONUT) score can predict long-term outcomes in acute heart failure (AHF) patients. A high CONUT score indicates moderate-to-severe malnutrition and is an independent risk factor for mortality after hospital discharge.

Area of Science:

  • Cardiology
  • Nutritional Science
  • Geriatrics

Background:

  • Acute heart failure (AHF) poses significant long-term mortality risks.
  • Nutritional status is increasingly recognized as a critical factor influencing patient prognosis.
  • The Controlling Nutritional Status (CONUT) score is a validated tool for assessing malnutrition.

Purpose of the Study:

  • To evaluate the utility of the CONUT score in assessing nutritional status.
  • To determine the association between CONUT score and long-term prognosis in AHF patients.
  • To identify CONUT score as a potential independent risk factor for mortality in AHF.

Main Methods:

  • Prospective monocentric study of 396 AHF patients from April 2012 to May 2016.
  • Patients categorized into normal, mild, and moderate-severe malnutrition groups based on CONUT score.
  • Long-term follow-up until March 2019, assessing all-cause mortality using Kaplan-Meier curves and Cox regression analysis.

Main Results:

  • Mortality rates were 32.4% (normal), 39% (mild), and 52.4% (moderate-severe malnutrition).
  • Moderate-severe malnutrition (high CONUT score) was significantly associated with higher all-cause mortality (P<0.05).
  • High CONUT score independently predicted increased risk of all-cause mortality (HR=1.648, P=0.041).

Conclusions:

  • The CONUT score effectively assesses nutritional status in AHF patients.
  • CONUT score at admission is a significant predictor of long-term prognosis in AHF.
  • Elevated CONUT scores identify AHF patients at higher risk for long-term mortality, guiding clinical management.

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