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Ann Hepatol ; 27(5): 100723, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35580823

RESUMO

INTRODUCTION AND OBJECTIVES: Sarcopenia is one of the most common complications of cirrhosis, associated with an increased risk of morbidity and mortality. It is therefore necessary to perform a proper nutritional evaluation in these patients. Although CT scans are the gold standard for diagnosing sarcopenia, they are not widely used in clinical practice. There is thus a need to find indirect methods for identifying sarcopenia in patients with cirrhosis. MATERIAL AND METHODS: This is a cross-sectional study consecutively including all cirrhotic outpatients who underwent CT scans. RESULTS: A total of 174 patients met all the inclusion criteria and none of exclusion criteria. Fifty-five patients (31.6%) showed sarcopenia on CT scans. Multivariate analysis revealed that the factors that were independently associated with the presence of sarcopenia on CT scans were: male sex (OR 11.27, 95% CI 3.53-35.95; p<0.001), lower body mass index (BMI) (OR 1.22, 95% CI 1.11-1.34; p<0.001) and lower phase angle by bioelectrical impedance analysis (OR 2.83, 95% CI 1.74-4.6; p<0.001). With the variables identified from the multivariate study we developed a nomogram that allows ruling out the presence of sarcopenia. Our model rules out sarcopenia with an area under the receiver operating characteristic curve value of 0.8. The cutoff point of the probability to rule out sarcopenia was 0.6 (sensitivity 85%, specificity 73%, Youden index 0.58, PPV 82.5% and NPV 91.3%). CONCLUSION: Since CT scans involve exposure to radiation and their availability is limited, we propose using this nomogram as an indirect method to rule out sarcopenia in cirrhotic patients.


Assuntos
Sarcopenia , Estudos Transversais , Fibrose , Humanos , Cirrose Hepática/diagnóstico , Cirrose Hepática/diagnóstico por imagem , Masculino , Nomogramas , Sarcopenia/diagnóstico por imagem , Sarcopenia/epidemiologia , Tomografia Computadorizada por Raios X/efeitos adversos , Tomografia Computadorizada por Raios X/métodos
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