Comparison of Different Nutritional Assessment Tools in Detecting Malnutrition and Sarcopenia among Cirrhotic Patients.
Mirabela-Madalina TopanIoan SporeaMirela DănilăAlina PopescuAna-Maria GhiuchiciRaluca LupușoruRoxana Lucia SirliPublished in: Diagnostics (Basel, Switzerland) (2022)
Malnutrition and sarcopenia are common complications of liver cirrhosis. This study compares the performance of different nutritional assessment techniques in detecting malnourished patients. Data from 156 patients with liver cirrhosis were collected. We assessed the nutritional status of these patients according to: Subjective Global Assessment (SGA); Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT), skinfold thickness (TSF), mid-upper arm circumference (MUAC), mid-upper arm muscle circumference (MUMC), handgrip strength (HGS), body mass index (BMI), and skeletal muscle index (SMI) evaluated by Contrast-Enhanced Computed Tomography (CT). According to EWGSOP2 criteria, combining low HGS with low SMI, the prevalence of malnutrition/sarcopenia was 60.2%. RFH-NPT, MUAC, MAMC, and HGS were excellent tests for detecting malnourished patients. Combining RFH-NPT with MUAC or MUMC increased diagnosis accuracy, AUC = 0.89, p < 0.0001. Age, Child-Pugh class C, albumin level, vitamin D deficiency, male gender, and alcoholic etiology were significantly associated with malnutrition. In conclusion, the prevalence of malnutrition among patients with cirrhosis was relatively high. Our study highlights the potential use of a simpler and inexpensive alternative that can be used as a valuable tool in daily practice, the combination between RFH-NPT and MUAC.
Keyphrases
- body mass index
- skeletal muscle
- computed tomography
- end stage renal disease
- ejection fraction
- newly diagnosed
- contrast enhanced
- magnetic resonance imaging
- chronic kidney disease
- prognostic factors
- type diabetes
- emergency department
- physical activity
- magnetic resonance
- adipose tissue
- positron emission tomography
- climate change
- optical coherence tomography
- risk assessment
- artificial intelligence
- big data
- electronic health record
- sleep quality
- image quality
- pet ct
- diffusion weighted imaging