• Pol. Arch. Med. Wewn. · Jan 2023

    Ultrasound and biomarker based assessment of hepatic steatosis in patients with severe obesity.

    • Michał Byra, Cezary Szmigielski, Piotr Kalinowski, Rafał Paluszkiewicz, Bogna Ziarkiewicz-Wróblewska, Krzysztof Zieniewicz, and Grzegorz Styczyński.
    • Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland. mbyra@ippt.pan.pl
    • Pol. Arch. Med. Wewn. 2023 Jan 24; 133 (1).

    IntroductionNonalcoholic fatty liver disease (NAFLD) is a common liver abnormality, but its noninvasive diagnosis in patients with severe obesity remains difficult.ObjectivesOur aim was to investigate the usefulness of the ultrasound‑based hepatorenal index (HRI) technique and 2 biomarker‑based methods, including the hepatic steatosis index (HSI) and NAFLD logit score for the diagnosis of NAFLD in patients referred for bariatric surgery.Patients And MethodsA total of 162 patients, including 106 with NAFLD, admitted for bariatric surgery participated in the study. Fat fraction level and the presence of NAFLD were determined using surgical liver biopsy. Each patient underwent liver ultrasound examination and blood tests to determine the HRI, HSI, and NAFLD logit score.ResultsFor the NAFLD diagnosis, the HRI, HSI, and NAFLD logit score techniques achieved areas under the receiver operating characteristic curves of 0.879, 0.577, and 0.825, respectively. The Spearman correlation coefficients between the liver fat fraction values and the HRI, HSI, and NAFLD logit score were equal to 0.695, 0.215, and 0.595, respectively. The optimal cutoff values for the NAFLD diagnosis for the HRI, HSI, and NAFLD logit score were equal to 1.12, 56.1, and 0.59, respectively, and significantly differed from the cutoff values reported for the general population in the literature.ConclusionsOur study confirmed the usefulness of only 2 out of 3 techniques, the HRI and the NAFLD logit score for the diagnosis of NAFLD in patients with severe obesity. The methods designed for the general population require different cutoff values to achieve accurate performance in patients with severe obesity.

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