Nutritional Status Assessment Tools in Cardiovascular Patients
Izabela Jarosz1, Kamil Gorecki1, Grzegorz Kalisz2
1Department of Clinical Dietetics, Medical University of Lublin, ul. Chodzki 7, 20-093 Lublin, Poland.
Malnutrition is common in cardiovascular disease (CVD) patients, leading to worse outcomes. This review highlights challenges in assessing nutritional status and recommends a tailored, multimodal approach for better detection and management in CVD populations.
Area of Science:
- Cardiology
- Nutritional Science
- Medical Diagnostics
Background:
- Malnutrition is prevalent and underrecognized in cardiovascular disease (CVD) patients.
- It is linked to adverse outcomes like prolonged hospitalization, readmissions, and mortality.
- Traditional metrics like body mass index (BMI) are often inadequate for malnutrition detection in CVD due to factors like fluid retention and obesity.
Purpose of the Study:
- To critically review current nutritional assessment tools for cardiovascular disease (CVD) populations.
- To discuss the applicability and limitations of various screening and diagnostic instruments in the context of CVD.
- To propose an optimized approach for nutritional status assessment in CVD patients.
Main Methods:
- Review of established nutritional screening tools (NRS 2002, MNA, MUST, SGA, CONUT).
- Examination of diagnostic frameworks, including the Global Leadership Initiative on Malnutrition (GLIM) criteria.
- Evaluation of body composition assessment methods, such as bioelectrical impedance analysis (BIA) and phase angle (PA).
Main Results:
- Existing nutritional assessment tools exhibit variable diagnostic performance and applicability in CVD.
- CVD-specific pathophysiological features (inflammation, fluid imbalance, medications) impact tool accuracy.
- The GLIM criteria offer a standardized approach but need further validation in cardiology.
Conclusions:
- A multimodal strategy involving initial screening and confirmatory assessment is recommended for CVD patients.
- Utilizing GLIM criteria alongside objective measures of muscle mass and cellular integrity is suggested.
- Clinicians must consider tool-specific limitations and CVD-related challenges when interpreting nutritional assessments.
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