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Non-invasive fibrosis assessments of non-alcoholic fatty liver disease associated with low estimated glomerular filtration rate among CKD patients: the Fukuoka Kidney disease Registry Study

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Abstract

Background

A growing body of evidence has shown that non-alcoholic fatty liver disease (NAFLD) is associated with chronic kidney disease (CKD). Non-invasive fibrosis assessments of NAFLD such as Fibrosis-4 (FIB-4) index and NAFLD fibrosis score (NFS) have been developed to substitute liver biopsy. Little is known about the association between FIB-4 index or NFS and the components of CKD.

Methods

In the present cross-sectional study, we assessed of 3640 Japanese CKD patients. We examined the association between FIB-4index or NFS and the odds of having low estimated glomerular filtration rate (eGFR) defined as eGFR < 60 mL/min/1.73 m2 or albuminuria defined as urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g. Patients were divided into quartiles according to their baseline FIB-4 index and NFS levels. Linear and logistic regression analysis were conducted, with adjustment for potential confounding factors.

Results

FIB-4 index and NFS were negatively associated with eGFR, but not UACR, after adjustment for potential confounding factors. Both FIB-4 index and NFS were significantly associated with low eGFR after adjustment for potential confounding factors. Meanwhile, in the multivariable-adjusted model, no associations were found between FIB-4 index or NFS and albuminuria. The addition of FIB-4 index or NFS to the established clinical CKD risk factors improved diagnostic accuracy of prevalence of low eGFR. We also found that there was a significant trend of higher FIB-4 index and NFS with more advanced renal fibrosis using the kidney biopsy data.

Conclusions

Higher non-invasive fibrosis assessments of NAFLD were associated with higher odds of decreased eGFR.

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References

  1. Arroyo V, Ginès P, Gerebes AL, Dudley FJ, Gentilini P, et al. Definition and diagnostic criteria of refractory ascites and hepatorenal syndrome in cirrhosis. Hepatology. 1996;23:164–76.

    Article  CAS  Google Scholar 

  2. Musso G, Gambino R, Tabibian JH, Ekstedt M, Kechagias S, Hamaguchi M, et al. Association of non-alcoholic fatty liver disease with chronic kidney disease: a systematic review and meta-analysis. PLoS Med. 2014;11:e1001680.

    Article  Google Scholar 

  3. Targher G, Chonchol MB, Byrne CD. CKD and nonalcoholic fatty liver disease. Am J Kidney Dis. 2014;64:638–52.

    Article  Google Scholar 

  4. Mantovani A, Zaza G, Byrne CD, Lonardo A, Zoppini G, Bonora E, et al. Nonalcoholic fatty liver disease increases risk of incident chronic kidney disease: a systematic review and meta-analysis. Metabolism. 2018;79:64–76.

    Article  CAS  Google Scholar 

  5. Jang HR, Kang D, Sinn DH, Gu S, Cho SJ, Lee JE, et al. Nonalcoholic fatty liver disease accelerates kidney function decline in patients with chronic kidney disease : a cohort study. Sci Rep. 2018;8:4718.

    Article  Google Scholar 

  6. Ix JH, Sharma K. Mechanisms linking obesity, chronic kidney disease, and fatty liver disease: the roles of fetuin-A, adiponectin, and AMPK. J Am Soc Nephrol. 2010;21:406–12.

    Article  CAS  Google Scholar 

  7. Musso G, Cassader M, Cohney S, Pinach S, Saba F, Gambino R. Emerging liver-kidney interactions in nonalcoholic fatty liver disease. Trends Mol Med. 2015;21:645–62.

    Article  CAS  Google Scholar 

  8. Targher G, Bertolini L, Rodella S, Lippi G, Zoppini G, Chonchol M. Relationship between kidney function and liver histology in subjects with nonalcoholic steatohepatitis. Clin J Am Soc Nephrol. 2010;5:2166–71.

    Article  CAS  Google Scholar 

  9. 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 

  10. Shah AG, Lydecker A, Murray K, Tetri BN, Contos MJ, Sanyal AJ; Nash Clinical Research Network. Comparison of noninvasive markers of fibrosis in patients with nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol. 2009; 7:1104–12.

  11. Chalasani N, Younossi Z, Lavine JE, CHarlton M, Cusi K, Rinella M, 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.

  12. Choi JW, Lee CH, Park JS. Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction. Peer J. 2019;7:e6524.

    Article  Google Scholar 

  13. Hsieh MH, Wu KT, Chen YY, Yang JF, Lin WY, Chang NC, et al. Higher NAFLD fibrosis score is associated with impaired eGFR. J Formos Med Assoc. 2020;119:496–503.

    Article  CAS  Google Scholar 

  14. Tanaka S, Ninomiya T, Fujisaki K, Yoshida H, Nagata M, Masutani K, et al. The Fukuoka kidney disease registry (FKR) study: design and methods. Clin Exp Nephrol. 2017;21:465–73.

    Article  Google Scholar 

  15. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO. Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2012;2013(3):1–150.

    Google Scholar 

  16. Tsuchimoto A, Matsukuma Y, Ueki K, Tanaka S, Masutani K, Nakagawa K, et al. Utility of Columbia classification in focal segmental glomerulosclerosis: renal prognosis and treatment response among the pathological variants. Nephrol Dial Transpl. 2019; 1–9. https://doi.org/10.1093/ndt/gfy374

  17. Sterling RK, Lissen E, Clumeck N, Sola R, Correa MC, Montaner J, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology. 2006;43:1317–25.

    Article  CAS  Google Scholar 

  18. Angulo P, Hui JM, Marchesini G, Bugianesi E, George J, Farrell GC, et al. The NAFLD fibrosis score: a noninvasive system that identifies liver fibrosis in patients with NAFLD. Hepatology. 2007;45:846–54.

    Article  CAS  Google Scholar 

  19. Levin A, Stevens PE. Summary of KDIGO 2012 CKD Guideline: behind the scenes, need for guidance, and a framework for moving forward. Kidney Int. 2014;85:49–61.

    Article  Google Scholar 

  20. Schwartz GJ, Brion LP, Spitzer A. The use of plasma creatinine concentration for estimating glomerular filtration rate in infants, children, and adolescents. Pediatr Clin North Am. 1987;34:571–90.

    Article  CAS  Google Scholar 

  21. Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92.

    Article  CAS  Google Scholar 

  22. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.

    Article  CAS  Google Scholar 

  23. Pencina MJ, D’Agostino RB Sr, D’Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27:157–72.

    Article  Google Scholar 

  24. Li D, Xu J, Liu F, Wang X, Yang H, Li X. Alcohol drinking and the risk of chronic kidney damage: a meta analysis of 15 prospective cohort studies. Alcohol Clin Exp Res. 2019;43:1360–72.

    Article  Google Scholar 

  25. Fan Y, Jin X, Man C, Gong D. Association of serum gamma-glutamyltransferase with chronic kidney disease risk: a meta-analysis. Free Radic Res. 2018;52:819–25.

    Article  CAS  Google Scholar 

  26. Yilmaz Y, Ozen Y, Yonal O, Kurt R, Kedrah AE, Celikel CA, et al. Microalbuminuria in nondiabetic patients with nonalcoholic fatty liver disease: association with liver fibrosis. Metabolism. 2010;59:1327–30.

    Article  CAS  Google Scholar 

  27. Arase Y, Suzuki F, Kobayashi M, Suzuki Y, Kawamura Y, Matsumoto N, et al. The development of chronic kidney disease in Japanese patients with non-alcoholic fatty liver disease. Intern Med. 2011;50:1081–7.

    Article  CAS  Google Scholar 

  28. Mikolasevic I, Racki S, Bubic I, Jelic I, Stimac D, Orlic L. Chronic kidney disease and nonalcoholic fatty liver disease proven by transient elastography. Kidney Blood Press Res. 2013;37:305–10.

    Article  CAS  Google Scholar 

  29. Yun KE, Shin CY, Yoon YS, Park HS. Elevated alanine aminotransferase levels predict mortality from cardiovascular disease and diabetes in Koreans. Atherosclerosis. 2009;205:533–7.

    Article  CAS  Google Scholar 

  30. Targher G, Kendrick J, Smits G, Chonchol M. Relationship between serum gamma-glutamyltransferase and chronic kidney disease in the United States adult population. Findings from the National Health and Nutrition Examination Survey 2001–2006. Nutr Metab Cardiovasc Dis. 2010; 20:583–90.

  31. Xu HW, Hsu YC, Chang CH, Wei KL, Lin CL. High FIB-4 index as an independent risk factor of prevalent chronic kidney disease in patients with nonalcoholic fatty liver disease. Hepatol Int. 2016;10:340–6.

    Article  Google Scholar 

  32. Sesti G, Fiorentino TV, Arturi F, Perticone M, Sciacqua A, Perticone F. Association between noninvasive fibrosis markers and chronic kidney disease among adults with nonalcoholic fatty liver disease. PLoS ONE. 2014;9:e88569.

    Article  Google Scholar 

  33. Özyilmaz A, de Jong PE, Gansevoort RT. Screening for chronic kidney disease can be of help to prevent atherosclerotic end-organ damage. Nephrol Dial Transpl. 2012;27:4046–52.

    Article  Google Scholar 

  34. Sapmaz F, Uzman M, Basyigit S, Ozkan S, Yavuz B. Steatosis grade is the most important risk factor for development of endothelial dysfunction in NAFLD. Medicine (Baltimore). 2016;95:e3280.

    Article  Google Scholar 

  35. Kim D, Kim WR, Kim HJ, Therneau TM. Association between noninvasive fibrosis markers and mortality among adults with nonalcoholic fatty liver disease in the United States. Hepatology. 2013;57:1357–65.

    Article  CAS  Google Scholar 

  36. Zhou YY, Zhou XD, Wu SJ, Fan DH, Van Poucke S, Chen YP, et al. Nonalcoholic fatty liver disease contributes to subclinical atherosclerosis: a systematic review and meta-analysis. Hepatol Commun. 2018;2:376–92.

    Article  CAS  Google Scholar 

  37. Castera L, Friedrich-Rust M, Loomba R. Noninvasive assessment of liver disease in patients with nonalcoholic fatty liver disease. Gastroenterology. 2019;156:1264–81.

    Article  Google Scholar 

  38. Sirota JC, McFann K, Targher G, Chonchol M, Jalal DI. Association between nonalcoholic liver disease and chronic kidney disease: an ultrasound analysis from NHANES 1988–1994. Am J Nephrol. 2012;36:466–71.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank the participants in the FKR Study, and the members of the FKR Study Group: Toshiaki Nakano, Takanari Kitazono, Toshiharu Ninomiya, Kumiko Torisu, Shigeru Tanaka, Akihiro Tsuchimoto, Shunsuke Yamada, Hiroto Hiyamuta (Kyushu University); Satoru Fujimi, Hideki Hirakata (Fukuoka Renal Clinic); Tetsuhiko Yoshida, Takashi Deguchi (Hamanomachi Hospital); Dai Matsuo (Munakata Medical Association Hospital); Hideki Yotsueda (Harasanshin Hospital); Akinori Nagashima (Japanese Red Cross Karatsu Hospital); Taihei Yanagida (Steel Memorial Yawata Hospital); Shotaro Onaka (Tagawa Municipal Hospital); Tadashi Hirano (Hakujyuji Hospital); Tohru Mizumasa (Kyushu Central Hospital); Hidetoshi Kanai, Kenji Harada (Kokura Memorial Hospital); Koji Mitsuiki, Keita Takae (Japanese Red Cross Fukuoka Hospital); Masaru Nakayama (National Kyushu Medical Center); Yusuke Kuroki, Hiroshi Nagae (National Fukuoka-Higashi Medical Center); Kiichiro Fujisaki (Iizuka Hospital); Kazuhiko Tsuruya (Nara Medical University); Masaharu Nagata (Shin-eikai Hospital); Ritsuko Katafuchi (Kano Hospital). We also thank Hugh McGonigle, PhD, Jodi Smith, PhD, and Mark Cleasby, PhD from Edanz Group (https://en-author-services.edanzgroup.com/ac) for editing drafts of the manuscript.

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Contributions

The individual contributions of each co-author are as follows. Masatoshi Hara contributed to the study design, statistical analysis, data interpretation, and drafting of the manuscript. Shigeru Tanaka contributed to the funding, statistical analysis, data interpretation, providing intellectual content of critical importance to the work described, and drafting of the manuscript. Yuta Matsukuma, Akihiro Tsuchimoto, Kumiko Torisu, Masanori Tokumoto, and Toshiaki Nakano contributed to the data acquisition and critical revision of the manuscript. Hiroaki Ooboshi contributed to critical revision of the manuscript. Kazuhiko Tsuruya and Takanari Kitazono contributed to critical revision of the manuscript and supervision of the study. All the authors provided critical reviews of the draft and approved the final version.

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Correspondence to Kazuhiko Tsuruya.

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All the procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee at which the studies were conducted (IRB approval number UMIN000007988) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Written informed consent was obtained from all included participants included in the study.

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Hara, M., Tanaka, S., Torisu, K. et al. Non-invasive fibrosis assessments of non-alcoholic fatty liver disease associated with low estimated glomerular filtration rate among CKD patients: the Fukuoka Kidney disease Registry Study. Clin Exp Nephrol 25, 822–834 (2021). https://doi.org/10.1007/s10157-020-02018-z

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