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Usefulness of Controlled Attenuation Parameter for Identification and Grading of Nonalcoholic Fatty Liver Disease in Adolescents with Obesity

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Indian Journal of Pediatrics Aims and scope Submit manuscript

Abstract

Objective

To identify controlled attenuation parameter (CAP) based cutoffs for diagnosing and grading hepatic steatosis in adolescents with overweight/obesity, using magnetic resonance imaging-proton density fat fraction (MRI-PDFF) as the reference method.

Methods

Adolescents with overweight/obesity were included. Fasting glucose, insulin, aspartate aminotransferase, and alanine aminotransferase were estimated. Hepatic steatosis (S) was assessed by MRI-PDFF, and graded as S0, S1, S2, and S3 with fat fraction cutoffs of < 6.0%, ≥ 6.0% to < 17.5%, ≥ 17.5% to < 23.3%, and ≥ 23.3%, respectively. CAP and liver stiffness measure (LSM) were assessed using FibroScan. Receiver operating characteristic (ROC) curves were used to estimate the CAP scores predicting various grades of hepatic steatosis.

Results

A total of 108 adolescents aged 12.4 ± 1.9 y, with mean BMI of 26.7 ± 4.9 kg/m2 were included. S0, S1, S2, and S3 steatosis by MRI-PDFF was identified in 15, 70, 13, and 10 adolescents, respectively. A moderate positive correlation was observed between CAP score and MRI-estimated hepatic fat (r = 0.528, p < 0.001). The optimal CAP cutoffs for identifying ≥ S1, ≥ S2, and S3 steatosis were 271 [area under ROC (AUROC) 0.745 (0.630–0.859)], 296 [AUROC 0.820 (0.728–0.911)], and 309 dB/m [AUROC 0.836 (0.729–0.944)], respectively.

Conclusion

CAP score had a good discriminative ability to diagnose fatty liver in adolescents with overweight or obesity.

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References

  1. Kohli R, Sunduram S, Mouzaki M, et al. Pediatric nonalcoholic fatty liver disease: a report from the expert committee on nonalcoholic fatty liver disease (ECON). J Pediatr. 2016;172:9–13.

    Article  Google Scholar 

  2. Schwimmer JB, Deutsch R, Kahen T, Lavine JE, Stanley C, Behling C. Prevalence of fatty liver in children and adolescents. Pediatrics. 2006;118:1388–93.

    Article  Google Scholar 

  3. Anderson EL, Howe LD, Jones HE, Higgins JPT, Lawlor DA, Fraser A. The prevalence of non-alcoholic fatty liver disease in children and adolescents: a systematic review and meta-analysis. PLoS One. 2015;10:e0140908.

  4. Xanthakos SA, Jenkins TM, Kleiner DE, et al. High prevalence of nonalcoholic fatty liver disease in adolescents undergoing bariatric surgery. Gastroenterology. 2015;149:623–34.

  5. Hoque ME, Doi SAR, Mannan M, Long K, Niessen LW, Mamun AA. Prevalence of overweight and obesity among children and adolescents of the Indian subcontinent: a meta-analysis. Nutr Rev. 2014;72:541–50.

    Article  Google Scholar 

  6. Jain V, Jana M, Upadhyay B, et al. Prevalence, clinical & biochemical correlates of non-alcoholic fatty liver disease in overweight adolescents. Indian J Med Res. 2018;148:291–301.

    Article  CAS  Google Scholar 

  7. Goyal NP, Schwimmer JB. the progression and natural history of pediatric nonalcoholic fatty liver disease. Clin Liver Dis. 2016;20:325–38.

    Article  Google Scholar 

  8. A-Kader HH, Henderson J, Vanhoesen K, Ghishan F, Bhattacharyya A. Nonalcoholic fatty liver disease in children: a single center experience. Clin Gastroenterol Hepatol. 2008;6:799–802.

  9. 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;67:328–57.

    Article  Google Scholar 

  10. Ciet P, Tiddens HAWM, Wielopolski PA, et al. Magnetic resonance imaging in children: common problems and possible solutions for lung and airways imaging. Pediatr Radiol. 2015;45:1901–15.

    Article  Google Scholar 

  11. Netaji A, Jain V, Gupta AK, Kumar U, Jana M. Utility of MR proton density fat fraction and its correlation with ultrasonography and biochemical markers in nonalcoholic fatty liver disease in overweight adolescents. J Pediatr Endocrinol Metab. 2020;33:473–9.

    Article  CAS  Google Scholar 

  12. Dyson JK, Anstee QM, McPherson S. Non-alcoholic fatty liver disease: a practical approach to diagnosis and staging. Frontline Gastroenterol. 2014;5:211–8.

    Article  CAS  Google Scholar 

  13. Pu K, Wang Y, Bai S, 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.

    Article  Google Scholar 

  14. Shah J, Okubote T, Alkhouri N. Overview of Updated practice guidelines for pediatric nonalcoholic fatty liver disease. Gastroenterol Hepatol (N Y). 2018;14:407–14.

    Google Scholar 

  15. Khadilkar V, Yadav S, Agrawal KK, et al. Revised IAP growth charts for height, weight and body mass index for 5- to 18-year-old Indian children. Indian Pediatr. 2015;52:47–55.

    Article  Google Scholar 

  16. Rout G, Kedia S, Nayak B, et al. Controlled attenuation parameter for assessment of hepatic steatosis in indian patients. J Clin Exp Hepatol. 2019;9:13–21.

    Article  Google Scholar 

  17. Shin J, Kim MJ, Shin HJ, et al. Quick assessment with controlled attenuation parameter for hepatic steatosis in children based on MRI-PDFF as the gold standard. BMC Pediatr. 2019;19:112.

    Article  Google Scholar 

  18. Tang A, Tan J, Sun M, et al. Nonalcoholic fatty liver disease: mr imaging of liver proton density fat fraction to assess hepatic steatosis. Radiology. 2013;267:422–31.

    Article  Google Scholar 

  19. van Werven JR, Marsman HA, Nederveen AJ, et al. Assessment of hepatic steatosis in patients undergoing liver resection: comparison of US, CT, T1-weighted Dual-Echo MR Imaging, and point-resolved 1 H MR Spectroscopy. Radiology. 2010;256:159–68.

    Article  Google Scholar 

  20. Schwimmer JB, Middleton MS, Behling C, et al. Magnetic resonance imaging and liver histology as biomarkers of hepatic steatosis in children with nonalcoholic fatty liver disease: clinical observations in hepatology. Hepatology. 2015;61:1887–95.

    Article  CAS  Google Scholar 

  21. Davison BA, Harrison SA, Cotter G, et al. Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials. J Hepatol. 2020;73:1322–32.

    Article  CAS  Google Scholar 

  22. Ferraioli G, Calcaterra V, Lissandrin R, et al. Noninvasive assessment of liver steatosis in children: the clinical value of controlled attenuation parameter. BMC Gastroenterol. 2017;17:61.

    Article  Google Scholar 

  23. 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. 2016;173:160–4.

  24. Runge JH, van Giessen J, Draijer LG, et al. Accuracy of controlled attenuation parameter compared with ultrasound for detecting hepatic steatosis in children with severe obesity. Eur Radiol. 2021;31:1588–96.

    Article  Google Scholar 

  25. Shalimar, Kumar R, Rout G, et al. Body mass index–based controlled attenuation parameter cut-offs for assessment of hepatic steatosis in non-alcoholic fatty liver disease. Indian J Gastroenterol. 2020;39:32–41.

  26. Karlas T, Petroff D, Sasso M, et al. Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. J Hepatol. 2017;66:1022–30.

    Article  Google Scholar 

  27. Imajo K, Kessoku T, Honda Y, et al. Magnetic resonance imaging more accurately classifies steatosis and fibrosis in patients with nonalcoholic fatty liver disease than transient elastography. Gastroenterology. 2016;150:626-37.

  28. Caussy C, Alquiraish MH, Nguyen P, et al. Optimal threshold of controlled attenuation parameter with MRI-PDFF as the gold standard for the detection of hepatic steatosis. Hepatology. 2018;67:1348–59.

  29. Caussy C, Brissot J, Singh S, et al. Prospective, same-day, direct comparison of controlled attenuation parameter with the M vs the XL probe in patients with nonalcoholic fatty liver disease, using magnetic resonance imaging–proton density fat fraction as the standard. Clin Gastroenterol Hepatol. 2020;18:1842–50.

  30. Oeda S, Tanaka K, Oshima A, Matsumoto Y, Sueoka E, Takahashi H. Diagnostic accuracy of fibroscan and factors affecting measurements. Diagnostics (Basel). 2020;10:940.

    Article  Google Scholar 

  31. Lee H, Jun DW, Kang BK, et al. Estimating of hepatic fat amount using MRI proton density fat fraction in a real practice setting. Medicine (Baltimore). 2017;96:e7778.

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Funding

This work was supported under a National Task Force project by Indian Council of Medical Research, New Delhi (Grant ID No. 5/4/3–2-2017-NCD-II, to VJ).

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Authors

Contributions

AA: Manuscript writing, revision, statistical analysis; S: Manuscript writing, study concept; MJ, DK, BK, and GS: Data collection; VJ: Study concept, design, manuscript writing and revision. VJ is the guarantor of this paper.

Corresponding author

Correspondence to Vandana Jain.

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Ethics Committee Approval

Study was conducted after approval from the Ethics Committee of All India Institute of Medical Sciences, New Delhi.

Informed Consent

Written voluntary informed consent was taken from parents and assent from the adolescents.

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Supplementary Information

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12098_2021_3842_MOESM1_ESM.tiff

Supplementary file1: Supplementary Fig. S1 (a) Scatter plots showing a moderate positive correlation between CAP and MRI-PDFF (r = 0.528, p < 0.001). (b) Scatter-plots showing a weak positive correlation between body fat percentage and CAP (r = 0.308, p = 0.003) (TIFF 116 KB)

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Anand, A., Shalimar, Jana, M. et al. Usefulness of Controlled Attenuation Parameter for Identification and Grading of Nonalcoholic Fatty Liver Disease in Adolescents with Obesity. Indian J Pediatr 89, 52–58 (2022). https://doi.org/10.1007/s12098-021-03842-1

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  • DOI: https://doi.org/10.1007/s12098-021-03842-1

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