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Anthropometric and blood parameters for the prediction of NAFLD among overweight and obese adults

Kühn, Tilman ; Nonnenmacher, Tobias ; Sookthai, Disorn ; Schübel, Ruth ; Pacheco, Daniel Antonio Quintana ; Stackelberg, Oyunbileg von ; Graf, Mirja E. ; Johnson, Theron ; Schlett, Christopher L. ; Kirsten, Romy ; Ulrich, Cornelia M. ; Kaaks, Rudolf ; Kauczor, Hans-Ulrich ; Nattenmüller, Johanna

In: BMC Gastroenterology, 18 (2018), Nr. 113. pp. 1-9. ISSN 1471-230X

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Download (1MB) | Lizenz: Creative Commons LizenzvertragAnthropometric and blood parameters for the prediction of NAFLD among overweight and obese adults by Kühn, Tilman ; Nonnenmacher, Tobias ; Sookthai, Disorn ; Schübel, Ruth ; Pacheco, Daniel Antonio Quintana ; Stackelberg, Oyunbileg von ; Graf, Mirja E. ; Johnson, Theron ; Schlett, Christopher L. ; Kirsten, Romy ; Ulrich, Cornelia M. ; Kaaks, Rudolf ; Kauczor, Hans-Ulrich ; Nattenmüller, Johanna underlies the terms of Creative Commons Attribution 3.0 Germany

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Abstract

Backround: Non-alcoholic fatty liver disease (NAFLD) comprises non-progressive steatosis and non-alcoholic steatohepatitis (NASH), the latter of which may cause cirrhosis and hepatocellular carcinoma (HCC). As NAFLD detection is imperative for the prevention of its complications, we evaluated whether a combination of blood-based biomarkers and anthropometric parameters can be used to predict NAFLD among overweight and obese adults.

Methods: 143 overweight or obese non-smokers free of diabetes (50% women, age: 35–65 years) were recruited. Anthropometric indices and routine biomarkers of metabolism and liver function were measured to predict magnetic resonance (MR) - derived NAFLD by multivariable logistic regression models. In addition, we evaluated to which degree the use of more novel biomarkers (adiponectin, leptin, resistin, C-reactive protein, TNF-α, IL-6, IL-8 and interferon-γ) could improve prediction models.

Results: NAFLD was best predicted by a combination of age, sex, waist circumference, ALT, HbA1c, and HOMA-IR at an area under the receiver operating characteristic curve (AUROC) of 0.87 (95% CI: 0.81, 0.93) before and 0.85 (95% CI: 0.78, 0.91) after internal bootstrap validation. The use of additional biomarkers of inflammation and metabolism did not improve NAFLD prediction. Previously published indices predicted NAFLD at AUROCs between 0.71 and 0.82.

Conclusions: The AUROC of > 0.8 obtained by our regression model suggests the feasibility of a non-invasive detection of NAFLD by anthropometry and circulating biomarkers, even though further increments in the capacity of prediction models may be needed before NAFLD indices can be applied in routine clinical practice.

Item Type: Article
Journal or Publication Title: BMC Gastroenterology
Volume: 18
Number: 113
Publisher: BioMed Central
Place of Publication: London
Date Deposited: 18 Jul 2018 06:38
Date: 2018
ISSN: 1471-230X
Page Range: pp. 1-9
Faculties / Institutes: Service facilities > German Cancer Research Center (DKFZ)
Medizinische Fakultät Heidelberg > Radiologische Universitätsklinik
Subjects: 610 Medical sciences Medicine
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