CC BY-NC-ND 4.0 · Ultrasound Int Open 2021; 07(01): E6-E13
DOI: 10.1055/a-1461-4714
Original Article

Controlled Attenuation Parameter in Healthy Individuals Aged 8–70 Years

1   Department of Clinical Medicine, University of Bergen, Bergen, Norway
2   Department of Pediatric and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
,
Anesa Mulabecirovic
1   Department of Clinical Medicine, University of Bergen, Bergen, Norway
,
Edda Jonina Olafsdottir
2   Department of Pediatric and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
,
Odd Helge Gilja
1   Department of Clinical Medicine, University of Bergen, Bergen, Norway
3   Department of Medicine, Haukeland University Hospital, Bergen, Norway
4   National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital, Bergen, Norway
,
2   Department of Pediatric and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
3   Department of Medicine, Haukeland University Hospital, Bergen, Norway
4   National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital, Bergen, Norway
,
Mette Vesterhus
5   Department of Medicine, Haraldsplass Diakonale Sykehus AS, Bergen, Norway
6   Department of Clinical Science, University of Bergen, Bergen, Norway
› Author Affiliations

Abstract

Purpose Controlled attenuation parameter (CAP) is a non-invasive method to assess the presence of liver steatosis. It has been evaluated in children and adults, mainly in either the obese or in subjects with suspected liver disease. Our aim was to describe CAP in healthy non-obese subjects without suspected liver steatosis and to suggest cutoff levels for steatosis.

Materials and Methods We prospectively recruited 187 individuals aged 8–70 years. All underwent clinical examination, including height and weight measurement. Body mass index (BMI) was calculated and converted into z-scores. To exclude liver pathology, B-mode ultrasound and liver stiffness measurements were performed in all prior to CAP measurement. Blood was drawn for liver biochemistry in adults.

Results CAP was associated with BMI z-score across all ages. CAP started to rise alongside BMI z-score already in subjects with a BMI below average. CAP values were higher in adults than in children (p<0.001), and higher in adult males than adult females (p=0.014). CAP did not correlate with age within the adult or pediatric cohorts. CAP was highly correlated with the fatty liver index. 18 and 23% of subjects showed CAP above the suggested cutoff value for children and adults, respectively.

Conclusion CAP was correlated with BMI z-score, even in individuals with a below-average BMI . We found CAP above published cutoff values in a substantial proportion of presumably healthy, non-obese children and adults, warranting further research to clarify whether this represents non-obese non-alcoholic fatty liver disease or if reference values need adjustment.



Publication History

Received: 04 December 2020
Received: 16 February 2021

Accepted: 21 March 2021

Article published online:
04 May 2021

© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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  • References

  • 1 Younossi ZM, Koenig AB, Abdelatif D. et al. Global Epidemiology of Nonalcoholic Fatty Liver Disease-Meta-Analytic Assessment of Prevalence, Incidence, and Outcomes. Hepatology 2016; 64: 73-84
  • 2 Vos MB, Abrams SH, Barlow SE. et al. NASPGHAN Clinical Practice Guideline for the Diagnosis and Treatment of Nonalcoholic Fatty Liver Disease in Children: Recommendations from the Expert Committee on NAFLD (ECON) and the North American Society of Pediatric Gastroenterology. Hepatology and Nutrition (NASPGHAN). J Pediatr Gastr Nutr 2017; 64: 319-334
  • 3 Selvakumar PKC, Kabbany MN, Lopez R. et al. Prevalence of Suspected Nonalcoholic Fatty Liver Disease in Lean Adolescents in the United States. J Pediatr Gastr Nutr 2018; 67: 75-79
  • 4 Zou B, Yeo YH, Nguyen VH. et al. Prevalence, characteristics and mortality outcomes of obese, nonobese and lean NAFLD in the United States, 1999-2016. J Intern Med 2020: 139-151
  • 5 Chalasani N, Younossi Z, Lavine JE. et al. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases. Hepatology 2018; 67: 328-357
  • 6 Hernaez R, Lazo M, Bonekamp S. et al. Diagnostic Accuracy and Reliability of Ultrasonography for the Detection of Fatty Liver: A Meta-Analysis. Hepatology 2011; 54: 1082-1090
  • 7 von Volkmann HL, Havre RF, Loberg EM. et al. Quantitative measurement of ultrasound attenuation and Hepato-Renal Index in Non-Alcoholic Fatty Liver. Med Ultrason 2013; 15: 16-22
  • 8 Sasso M, Beaugrand M, de Ledinghen V. et al. Controlled Attenuation Parameter (Cap): A Novel Vcte (Tm) Guided Ultrasonic Attenuation Measurement for the Evaluation of Hepatic Steatosis: Preliminary Study and Validation in a Cohort of Patients with Chronic Liver Disease from Various Causes. Ultrasound in Medicine and Biology 2010; 36: 1825-1835
  • 9 Karlas T, Petroff D, Sasso M. et al. Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. Journal of Hepatology 2017; 66: 1022-1030
  • 10 Desai NK, Harney S, Raza R. et al. Comparison of Controlled Attenuation Parameter and Liver Biopsy to Assess Hepatic Steatosis in Pediatric Patients. J Pediatr-Us 2016; 173: 160- 164.e1 
  • 11 Pu K, Wang YP, Bai SY. et al. Diagnostic accuracy of controlled attenuation parameter (CAP) as a non-invasive test for steatosis in suspected non-alcoholic fatty liver disease: A systematic review and meta-analysis. Bmc Gastroenterol. 2019 19. 51
  • 12 Wong VW, Petta S, Hiriart JB. et al. Validity criteria for the diagnosis of fatty liver by M probe-based controlled attenuation parameter. J Hepatol 2017; 67: 577-584
  • 13 Semmler G, Woran K, Scheiner B. et al. Novel reliability criteria for controlled attenuation parameter assessments for non-invasive evaluation of hepatic steatosis. United European. Gastroenterol J 2020; 8: 321-331
  • 14 Mulabecirovic A, Mjelle AB, Gilja OH. et al. Liver elasticity in healthy individuals by two novel shear-wave elastography systems-Comparison by age, gender, BMI and number of measurements. PLoS One 2018; 13: e0203486
  • 15 Mjelle AB, Mulabecirovic A, Havre RF. et al. Normal Liver Stiffness Values in Children: A Comparison of Three Different Elastography Methods. J Pediatr Gastroenterol Nutr 2019; 68: 706-712
  • 16 Bedogni G, Bellentani S, Miglioli L. et al. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. Bmc Gastroenterol. 2006: 6: 33
  • 17 Angulo P, Hui JM, Marchesini G. et al. The NAFLD fibrosis score: A noninvasive system that identifies liver fibrosis in patients with NAFLD. Hepatology 2007; 45: 846-854
  • 18 Sterling RK, Lissen E, Clumeck N. et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology 2006; 43: 1317-1325
  • 19 Shah AG, Lydecker A, Murray K. et al. Comparison of Noninvasive Markers of Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. Clin Gastroenterol H 2009; 7: 1104-1112
  • 20 Angulo P, Bugianesi E, Bjornsson ES. et al. Simple Noninvasive Systems Predict Long-term Outcomes of Patients With Nonalcoholic Fatty Liver Disease. . Gastroenterology 2013; 145: 782- 9.e4 
  • 21 Kaya E, Demir D, Alahdab YO. et al. Prevalence of hepatic steatosis in apparently healthy medical students: a transient elastography study on the basis of a controlled attenuation parameter. Eur J Gastroenterol Hepatol 2016; 28: 1264-1267
  • 22 de Ledinghen V, Vergniol J, Capdepont M. et al. Controlled attenuation parameter (CAP) for the diagnosis of steatosis: a prospective study of 5323 examinations. J Hepatol 2014; 60: 1026-1031
  • 23 Younossi Z, Anstee QM, Marietti M. et al. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol 2018; 15: 11-20
  • 24 Yilmaz Y, Kani HT, Demirtas CO. et al. Growing burden of nonalcoholic fatty liver disease in Turkey: A single-center experience. Turk J Gastroenterol 2019; 30: 892-898
  • 25 Denkmayr L, Feldman A, Stechemesser L. et al. Lean Patients with Non-Alcoholic Fatty Liver Disease Have a Severe Histological Phenotype Similar to Obese Patients. J Clin Med 2018; 7: 562
  • 26 Akyuz U, Yesil A, Yilmaz Y.. Characterization of lean patients with nonalcoholic fatty liver disease: potential role of high hemoglobin levels. Scand J Gastroenterol 2015; 50: 341-346
  • 27 Vanderwall C, Clark RR, Eickhoff J. et al. BMI is a poor predictor of adiposity in young overweight and obese children. Bmc Pediatr 2017; 17: 135
  • 28 Carvalhana S, Leitao J, Alves AC. et al. How good is controlled attenuation parameter and fatty liver index for assessing liver steatosis in general population: correlation with ultrasound. Liver Int 2014; 34: e111-117
  • 29 Eren F, Kaya E, Yilmaz Y.. Accuracy of Fibrosis-4 index and non-alcoholic fatty liver disease fibrosis scores in metabolic (dysfunction) associated fatty liver disease according to body mass index: failure in the prediction of advanced fibrosis in lean and morbidly obese individuals. Eur J Gastroenterol Hepatol. 2020 DOI: 10.1097/MEG.0000000000001946
  • 30 McPherson S, Hardy T, Dufour JF. et al. Age as a Confounding Factor for the Accurate Non-Invasive Diagnosis of Advanced NAFLD Fibrosis. Am J Gastroenterol 2017; 112: 740-751
  • 31 Kaya E, Bakir A, Kani HT. et al. Simple Noninvasive Scores Are Clinically Useful to Exclude, Not Predict, Advanced Fibrosis: A Study in Turkish Patients with Biopsy-Proven Nonalcoholic Fatty Liver Disease. Gut Liver 2020; 14: 486-491
  • 32 Audière S, Fournier C, Whitehead J. et al. Continuous CAP algorithm: reduced variability in a prospective cohort. EASL - The digital international liver congress. J Hepatol 2020; 73: S436