Hepatic steatosis in diabetic patients does not predict adverse liver-related or cardiovascular outcomes.
OBJECTIVE
Steatosis is a defining feature of nonalcoholic fatty liver disease (NAFLD). However, evidence that severity of steatosis can predict adverse outcomes in NAFLD or nonalcoholic steatohepatitis (NASH) is lacking. The aim of this study was to determine whether steatosis assessed by computed tomography (CT) imaging predicts adverse outcomes in diabetic patients at risk for NAFLD/NASH.


METHODS
We studied deaths, liver-related and cardiovascular adverse outcomes in a 5-year retrospective observational cohort of 2343 type 2 diabetic patients in a large care network who had noncontrast CT imaging for clinical indications. We measured steatosis by subtraction of spleen from liver attenuation, a method that showed low sensitivity (0.417) and high specificity (0.882) compared with histopathological scoring. We evaluated outcomes prediction using multivariate Cox proportional hazards modelling of steatosis both as a categorical (≥ 30%) and continuous variable.


RESULTS
Steatosis ≥ 30% was present in 233 (9.9%) of the cohort at baseline. Over 5 years, there were 372 total deaths, 18 liver-related and 99 cardiovascular deaths, 48 liver transplants, 51 occurrences of hepatic encephalopathy, 41 hepatocellular carcinomas, 653 myocardial infarctions, 66 strokes, 180 occurrences of angina, 735 occurrences of arrhythmia and 772 occurrences of congestive heart failure. Steatosis had no predictive value for any adverse outcome. Patients with steatosis averaged 8 years younger than those without it. Age had a strong covariate influence on occurrence of total deaths, cardiovascular deaths, myocardial infarctions, arrhythmias and congestive heart failure.


CONCLUSIONS
Although steatosis on imaging is often the abnormality that triggers diagnosis and assessment of NAFLD/NASH, it lacks predictive value for adverse clinical outcomes.
Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Michael A
MA
Dunn
Jaideep
J
Behari
Shari S
SS
Rogal
Michael R
MR
O'Connell
Alessandro
A
Furlan
Ayaz
A
Aghayev
Serter
S
Gumus
Melissa I
MI
Saul
Kyongtae T
KT
Bae
D000367:Age Factors; D015331:Cohort Studies; D048909:Diabetes Complications / Q000150:complications*; D005234:Fatty Liver / Q000150:complications* / Q000209:etiology / Q000473:pathology* / Q000503:physiopathology*; D006801:Humans; D065626:Non-alcoholic Fatty Liver Disease; D010414:Pennsylvania; D012189:Retrospective Studies; D014057:Tomography, X-Ray Computed
NAFLD; NASH; diabetes; steatosis