The Utility of Noninvasive Scores in Assessing the Prevalence
of Nonalcoholic Fatty Liver Disease and Advanced Fibrosis
in Type 2 Diabetic Patients
Amandeep Singh, MD,* Phuc Le, MD,* Maajid M. Peerzada, MD,*
Rocio Lopez, MS, MPH,† and Naim Alkhouri, MD‡§
Goals: The aim of our study is to assess the prevalence of nonalcoholic
fatty liver disease (NAFLD) and advanced hepatic fibrosis in patients
with type 2 diabetes mellitus (T2DM) using simple noninvasive scores.
Background: In individuals with T2DM, there is a very high prev-
alence of NAFLD. Moreover, T2DM is a risk factor for advanced
disease in NAFLD patients.
Study: Using International Classification of Diseases, Ninth Revision
codes all patients with the diagnosis of T2DM were reviewed and a
retrospective chart analysis was performed on 169,910 patients between
the ages of 18 to 80. To predict the prevalence of NAFLD, we calcu-
lated the hepatic steatosis index. To estimate the prevalence of
advanced fibrosis, NAFLD fibrosis score (NFS), fibrosis-4 index,
aspartate aminotransferase (AST) to platelet ratio index (APRI), and
AST/alanine aminotransferase (ALT) ratio were calculated.
Results: Of the 121,513 patients included in the analysis, 89.4% were
above normal weight limit. NAFLD based on Hepatic Steatosis
Index > 36 was present in 87.9% of patients. Advanced fibrosis was
present in 35.4% based on NFS > 0.676, 8.4% based on fibrosis-
4 > 2.67, 1.9% based on APRI > 1.5, and 16.9% based on AST/ALT >
1.4% indicating advanced fibrosis and high risk of developing cirrhosis
related to NAFLD.
Conclusions: In this large cohort of patients with T2DM, we
detected high prevalence of hepatic steatosis and advanced fibrosis
using noninvasive scores. These scores are easy and nonexpensive
tools to screen for NAFLD and advanced fibrosis, although the
significant variability of the percentage of patients with advanced
fibrosis using these scores indicates the need for further validation in
diabetic populations.
Key Words: fatty liver, noninvasive scores, fibrosis
(J Clin Gastroenterol 2017;00:000–000)
N
onalcoholic fatty liver disease (NAFLD) refers to the
presence of hepatic steatosis, demonstrated by histology or
imaging, in the absence of signi ficant alcohol consumption and
the other known secondary causes.
1
NAFLD encompasses a
broad disease spectrum, ranging from simple steatosis pro-
gressing through nonalcoholic steatohepatitis (NASH),
advanced fibrosis to cirrhosis, and end-stage liver disease.
NAFLD has become the most frequent cause of chronic liver
disease in the western world and can progress to NASH.
NAFLD is predicted to become the leading cause of liver
transplantation in coming years.
2
Obesity and insulin resistance
are the key pathogenic factors associated with NAFLD, and
thus are very prevalent among patients with type 2 diabetes
mellitus (T2DM).
Recent studies have shown that 49% to 62% of patients
with T2DM have NAFLD
3,4
and clinically relevant fibrosis
occurs in upto 20% of these patients.
5
T2DM confers a
particular risk for development of the progressive form of
NAFLD and in addition, is an independent risk predictor
of moderate to severe fibrosis.
6,7
T2DM increases the risk of
liver-related deaths in NAFLD patients upto 22-fold, as well
as overall mortality by 2.6 to 3.3-fold.
8
In addition, the
combination of NAFLD and T2DM increases the risk of
cardiovascular disease
9
and accelerates the progression of
macro and microvascular complications. Given the increase
in worldwide prevalence of T2DM, there is a substantial
disease burden associated to end-stage liver disease in the
future. An early diagnosis and treatment of NAFLD may
have a beneficial clinical impact on the survival of diabetic
patients.
Liver biopsy is the “gold standard” for NAFLD diag-
nosis; however, this is invasive and carries intrinsic morbidity
risk.
10
Ultrasonography is the recommended first-line imag-
ing technique in clinical practice, although it is known to have
limited sensitivity.
11
Other noninvasive tools have been
developed for diagnosing NAFLD and its severity, such as
proton magnetic resonance spectroscopy (1H-MRS), mag-
netic resonance elastography, and vibration controlled tran-
sient elastography. However, these tools are expensive,
time-consuming, and are not considered cost-effective for
large-scale NAFLD screening. Recently, noninvasive scores
have been developed to predict the presence of suspected
NAFLD such as the hepatic steatosis index (HSI).
12
Other
scores were developed to predict advanced fibrosis such as the
NAFLD fibrosis score (NFS), fibrosis-4 (FIB-4) index,
13
aspartate aminotransferase (AST) to platelet ratio index
(APRI),
14
and AST/alanine aminotransferase (ALT) ratio.
15
These scores are simple to calculate, from demographic and
laboratory data to be used by both general practitioners and
specialists. This could aid in early diagnosis, which further
provide opportunities for early interventions in preventing
Received for publication March 18, 2017; accepted July 6, 2017.
From the *Department of Hospital Medicine, Medicine Institute;
†Department of Quantitative Health Sciences, Lerner Research
Institute; ‡Department of Gastroenterology, Hepatology and Nutrition,
Digestive Diseases and Surgery Institute; Cleveland Clinic Foundation,
Cleveland, OH; and §Texas Liver Institute, San Antonio, TX.
Presented at European Association of the Study of Liver Disease
Conference 2017, Amsterdam, the Netherlands.
Clinical trial registration number: CCF-16-018.
N.A., A.S.: study concept and design. A.S., M.P.: acquisition of data.
N.A., A.S., R.L.: analysis and interpretation of data. A.S., P.L.,
M.M.P., R.L., N.A.: drafting of the manuscript and critical revision
of the manuscript for important intellectual content. L.R., A.S., N.A.:
statistical analysis. NA: administrative, technical, or material support,
study supervision.
The authors declare that they have nothing to disclose.
Address correspondence to: Amandeep Singh, MD, Department of
Hospital Medicine, M8-Annex, Cleveland Clinic Foundation, 9500
Euclid Avenue, Cleveland, OH 44195 (e-mail: singha4@ccf.org).
Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.
DOI: 10.1097/MCG.0000000000000905
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