Skip to main content

Advertisement

Log in

High FIB-4 index as an independent risk factor of prevalent chronic kidney disease in patients with nonalcoholic fatty liver disease

  • Original Article
  • Published:
Hepatology International Aims and scope Submit manuscript

Abstract

Background

Growing evidence suggests that non-alcoholic fatty liver disease (NAFLD) is linked to an increased risk for chronic kidney disease (CKD); liver fibrosis with biopsy-proven NAFLD has also been shown to associate with an increased risk of CKD. This study compares the diagnostic performance of simple noninvasive tests in identifying prevalent CKD among individuals with ultrasonography-diagnosed NAFLD.

Methods

A total of 755 with ultrasonography-diagnosed NAFLD were included. Estimated glomerular filtration rate and noninvasive markers for hepatic fibrosis: aspartate transaminase to alanine transaminase ratio (AAR), aspartate transaminase to platelet ratio index (APRI), FIB-4 score, NAFLD fibrosis score (NFS) and BARD score were assessed.

Results

Binary logistic regression to generate a propensity score and receiver operating characteristic curves were developed for each of the noninvasive markers for predicting CKD, and the area under the receiver operating characteristic curve was greatest for FIB-4 score (0.750), followed by NFS (0.710), AAR (0.594), APRI (0.587), and BARD score (0.561). A cut-off value of 1.100 for FIB-4 score gave a sensitivity of 68.85 % and a specificity of 71.07 % for predicting CKD. The positive predictive value and negative predictive value were 37.50 and 90.05 %, respectively. In multiple logistic regression analysis, only FIB-4 score ≧1.100 (OR 2.660, 95 % CI 1.201–5.889; p = .016), older age, higher diastolic blood pressure and higher uric acid were independent predictors of CKD.

Conclusions

High noninvasive fibrosis score is associated with an increased risk of prevalent CKD; the FIB-4 is the better predictor. With a cut-off value of 1.100 for FIB-4, it is useful in excluding the presence of CKD in patients with NAFLD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Abbreviations

2-hour PPG:

2-Hour postprandial blood glucose test

AAR:

Aspartate transaminase to alanine transaminase ratio

ALT:

Alanine transaminase

APRI:

Aspartate transaminase to platelet ratio index

AST:

Aspartate transaminase

AUROC:

Area under the receiver operating characteristic curve

BMI:

Body mass index

CKD:

Chronic kidney disease

DBP:

Diastolic blood pressure

eGFR:

Estimated glomerular filtration rate

FPG:

Fasting plasma glucose

HDL:

High-density lipoprotein

IFG:

Impaired fasting glucose

LDL:

Low-density lipoprotein

NAFLD:

Non-alcoholic fatty liver disease

NASH:

Nonalcoholic steatohepatitis

NFS:

NAFLD fibrosis score

NPV:

Negative predictive values

PPV:

Positive predictive value

ROC:

Receiver operating characteristic

SBP:

Systolic blood pressure

References

  1. Browning JD, Szczepaniak LS, Dobbins R, Nuremberg P, Horton JD, Cohen JC, et al. Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology 2004;40:1387–1395

    Article  PubMed  Google Scholar 

  2. Vuppalanchi R, Chalasani N. Nonalcoholic fatty liver disease and nonalcoholic steatohepatitis: selected practical issues in their evaluation and management. Hepatology 2009;49:306–317

    Article  PubMed  PubMed Central  Google Scholar 

  3. Loomba R, Sanyal AJ. The global NAFLD epidemic. Nat Rev Gastroenterol Hepatol 2013;10:686–690

    Article  CAS  PubMed  Google Scholar 

  4. Bellentani S, Scaglioni F, Marino M, Bedogni G. Epidemiology of non-alcoholic fatty liver disease. Dig Dis 2010;28:155–161

    Article  PubMed  Google Scholar 

  5. Lazo M, Clark JM. The epidemiology of nonalcoholic fatty liver disease: a global perspective. Semin Liver Dis 2008;28:339–350

  6. Trauner M, Arrese M, Wagner M. Fatty liver and lipotoxicity. Biochim Biophys Acta 2010;1801:299–310.

  7. Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: third National Health and Nutrition Examination Survey. Am J Kidney Dis 2003;41:1–12

    Article  PubMed  Google Scholar 

  8. Nugent RA, Fathima SF, Feigl AB, Chyung D. The burden of chronic kidney disease on developing nations: a 21st century challenge in global health. Nephron Clin Pract 2011;118:c269–277

  9. Hwang S-J, Tsai J-C, Chen H-C. Epidemiology, impact and preventive care of chronic kidney disease in Taiwan. Nephrology (Carlton) 2010;15(Suppl 2):3–9

    Article  Google Scholar 

  10. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 2004;351:1296–1305

    Article  CAS  PubMed  Google Scholar 

  11. Armstrong MJ, Adams LA, Canbay A, Syn W-K. Extrahepatic complications of nonalcoholic fatty liver disease. Hepatology 2014;59:1174–1197

    Article  CAS  PubMed  Google Scholar 

  12. 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;36:466–471

    Article  PubMed  PubMed Central  Google Scholar 

  13. Li G, Shi W, Hu H, Chen Y, Liu L, Yin D. Nonalcoholic fatty liver disease associated with impairment of kidney function in nondiabetes population. Biochem Med 2012;22:92–99

    Article  Google Scholar 

  14. Chang Y, Ryu S, Sung E, Woo H-YY, Oh E, Cha K, et al. Nonalcoholic fatty liver disease predicts chronic kidney disease in nonhypertensive and nondiabetic Korean men. Metabolism 2008;57:569–576

    Article  CAS  PubMed  Google Scholar 

  15. 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  PubMed  PubMed Central  Google Scholar 

  16. Adams LA, Lymp JF, St. Sauver J, Sanderson SO, Lindor KD, Feldstein A, et al. The natural history of nonalcoholic fatty liver disease: a population-based cohort study. Gastroenterology 2005;129:113–121

    Article  PubMed  Google Scholar 

  17. Ekstedt M, Franzén LE, Mathiesen UL, Thorelius L, Holmqvist M, Bodemar G, et al. Long-term follow-up of patients with NAFLD and elevated liver enzymes. Hepatology 2006;44:865–873

    Article  CAS  PubMed  Google Scholar 

  18. Söderberg C, Stål P, Askling J, Glaumann H, Lindberg G, Marmur J, et al. Decreased survival of subjects with elevated liver function tests during a 28-year follow-up. Hepatology 2010;51:595–602

    Article  PubMed  Google Scholar 

  19. Cadranel JF, Rufat P, Degos F. Practices of liver biopsy in France: results of a prospective nationwide survey. Hepatology 2000;32:477–481

    Article  CAS  PubMed  Google Scholar 

  20. Farrell GC, Chitturi S, Lau GKK, Sollano JD. Guidelines for the assessment and management of non-alcoholic fatty liver disease in the Asia-Pacific region: executive summary. J Gastroenterol Hepatol 2007;22:775–777

    Article  PubMed  Google Scholar 

  21. Angulo P, Keach J, Batts K, Lindor K. Independent predictors of liver fibrosis in patients with nonalcoholic steatohepatitis. Hepatology 1999;30:1356–1362

    Article  CAS  PubMed  Google Scholar 

  22. Wai CT, Greenson JK, Fontana RJ, Kalbfleisch JD, Marrero JA, Conjeevaram HS, et al. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology 2003;38:518–526

    Article  PubMed  Google Scholar 

  23. 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;43:1317–1325

    Article  CAS  PubMed  Google Scholar 

  24. 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;45:846–854

    Article  CAS  PubMed  Google Scholar 

  25. Harrison SA, Oliver D, Arnold HL, Gogia S, Neuschwander-Tetri BA. Development and validation of a simple NAFLD clinical scoring system for identifying patients without advanced disease. Gut 2008;57:1441–1447

    Article  CAS  PubMed  Google Scholar 

  26. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med 1999;130:461–470

    Article  CAS  PubMed  Google Scholar 

  27. Gavin RJ. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 2003;26(Suppl 1):S5–S20

    Google Scholar 

  28. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA 2003;289:2560–2572

    Article  CAS  PubMed  Google Scholar 

  29. Einhorn D, Reaven GM, Cobin RH, Ford E, Ganda OP, Handelsman Y, et al. American College of Endocrinology position statement on the insulin resistance syndrome. Endocr Pract 2003;9:237–252

    PubMed  Google Scholar 

  30. Giannini EG, Zaman A, Kreil A, Floreani A, Dulbecco P, Testa E, et al. Platelet count/spleen diameter ratio for the noninvasive diagnosis of esophageal varices: results of a multicenter, prospective, validation study. Am J Gastroenterol 2006;101:2511–2519

    Article  PubMed  Google Scholar 

  31. 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;5:2166–2171

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Yasui K, Sumida Y, Mori Y, Mitsuyoshi H, Minami M, Itoh Y, et al. Nonalcoholic steatohepatitis and increased risk of chronic kidney disease. Metabolism 2011;60:735–739

    Article  CAS  PubMed  Google Scholar 

  33. 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  PubMed  PubMed Central  Google Scholar 

  34. McPherson S, Stewart SF, Henderson E, Burt AD, Day CP. Simple non-invasive fibrosis scoring systems can reliably exclude advanced fibrosis in patients with non-alcoholic fatty liver disease. Gut 2010;59:1265–1369

    Article  PubMed  Google Scholar 

  35. Sumida Y, Yoneda M, Hyogo H, Itoh Y, Ono M, Fujii H, et al. Validation of the FIB4 index in a Japanese nonalcoholic fatty liver disease population. BMC Gastroenterol 2012;12:2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Musso G, Gambino R, Cassader M, Pagano G. Meta-analysis: natural history of non-alcoholic fatty liver disease (NAFLD) and diagnostic accuracy of non-invasive tests for liver disease severity. Ann Med 2011;43:617–649

    Article  PubMed  Google Scholar 

  37. Targher G, Chonchol M, Zoppini G, Abaterusso C, Bonora E. Risk of chronic kidney disease in patients with nonalcoholic fatty liver disease: is there a link? J Hepatol. 2011;54:1020–2019 http://www.sciencedirect.com/science/article/pii/S0168827810010676

  38. Targher G, Chonchol M, Zoppini G, Abaterusso C, Bonora E. Risk of chronic kidney disease in patients with non-alcoholic fatty liver disease: is there a link? J Hepatol 2011;54:1020–1029

    Article  CAS  PubMed  Google Scholar 

  39. Hernaez R, Lazo M, Bonekamp S, Kamel I, Brancati FL, Guallar E, et al. Diagnostic accuracy and reliability of ultrasonography for the detection of fatty liver: a meta-analysis. Hepatology 2011;54:1082–1090

    Article  PubMed  PubMed Central  Google Scholar 

  40. Dasarathy S, Dasarathy J, Khiyami A, Joseph R, Lopez R, McCullough AJ. Validity of real time ultrasound in the diagnosis of hepatic steatosis: a prospective study. J Hepatol 2009;51:1061–1067

    Article  PubMed  Google Scholar 

  41. Lannerstedt H, Konopski Z, Sandvik L, Haaland T, Løberg EM, Haukeland JW. Combining transient elastography with FIB4 enhances sensitivity in detecting advanced fibrosis of the liver. Scand J Gastroenterol 2013;48:93–100

    Article  PubMed  Google Scholar 

Download references

Acknowledgement

The authors acknowledge the support given by Chang Gung Memorial Hospital for the conducting of this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chun-Liang Lin.

Ethics declarations

Conflict of interest

Huang-Wei Xu, Yung-Chien Hsu, Chia-Hao Chang, Kuo-Liang Wei and Chun-Liang Lin declare that they have no conflict of interest or financial ties to disclose.

Ethical approval

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008. Informed consent was obtained from all patients for being included in the study. This article does not contain any studies with animal subjects. The Institutional Review Board waived the need for informed consent from the participants because this research was a retrospectively observational analysis, and the identifying information was not included in the collected data. This study was approved by the Institutional Review Board of the Chang Gung Memorial Hospital.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, HW., Hsu, YC., Chang, CH. et al. High FIB-4 index as an independent risk factor of prevalent chronic kidney disease in patients with nonalcoholic fatty liver disease. Hepatol Int 10, 340–346 (2016). https://doi.org/10.1007/s12072-015-9690-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12072-015-9690-5

Keywords

Navigation