No association between the degree of liver steatosis and early signs of vasculopathy in T2DM

Prevalence of nonalcoholic fatty liver disease and its association with age in patients with type 2 diabetes mellitus

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a risk factor for nonalcoholic fatty liver disease (NAFLD).

AIM

To determine the prevalence and clinical correlates of NAFLD in a large cohort of patients with T2DM.

METHODS

Four hundred thirty-seven participants with T2DM who consulted at Meijo Hospital from April 2019 to September 2020 and underwent computed tomography (CT) were assessed. The mean age was 74 ± 13 years, and 269 were men. Hepatic attenuation minus splenic attenuation (CT_L−S) less than 1 Hounsfield unit was considered fatty liver. NAFLD was defined as fatty liver in the absence of significant alcohol consumption and hepatitis virus infection. A multiple logistic regression was used to assess the independent factors associated with NAFLD.

RESULTS

NAFLD was identified in 25.2% of the participants. Young age (odds ratio [OR] = −0.945; 95% confidence interval [CI]: 0.922–0.969), higher hemoglobin levels (OR = 1.501, 95%CI: 1.278–1.764), lower high-density lipoprotein (HDL) cholesterol levels (OR = 0.971, 95%CI: 0.953–0.989), and the absence of dialysis (OR = 0.109, 95%CI: 0.014–0.856) were independent predictors of NAFLD.

CONCLUSION

NAFLD was detected with CT in 25.2% of the participants. NAFLD was associated with younger age, higher hemoglobin levels, lower HDL cholesterol levels, and an absence of dialysis.

Clinical and biochemical determinants of the extent of liver steatosis in type 2 diabetes mellitus

OBJECTIVE

Nonalcoholic fatty liver disease is very frequent in both type 2 diabetes mellitus (T2DM) and the metabolic syndrome (MS), which share clinical and metabolic characteristics. Whether and to which extent these characteristics can predict the degree of liver steatosis are not entirely clear.

PATIENTS AND METHODS

We determined liver fat (divided into four classes) by standard sonographic images, and clinical and biochemical variables, in 60 consecutive patients with T2DM and with features of the MS. We examined both simple and multiple correlations between the degree of liver steatosis and the variables measured.

RESULTS

Increased liver fat (defined as >5% of liver mass) was detected in 88% of the participants. Using simple regression analysis, the class of steatosis correlated positively with BMI, waist, number of factors of the MS, sex (female>male), diastolic blood pressure, insulin resistance, metabolic control, inflammation, C-reactive protein, fibrinogen, and leptin, whereas it correlated negatively with high-density lipoprotein-cholesterol. Using multiple regression analysis, only metabolic control, insulin resistance and/or plasma insulin, and waist, remained correlated significantly with the degree of steatosis. Using an ordered probit statistical model, metabolic control, waist, and insulin concentration predicted the steatosis class in 58% of the cases (≤97% with allowance for one class in either excess or deficit).

CONCLUSION

In patients with T2DM, the extent of liver steatosis is correlated with variables associated with metabolic control and features of the MS. The combination of metabolic control, visceral obesity, and insulin resistance may reasonably predict the degree of liver steatosis in T2DM.

Nonalcoholic Fatty liver disease is associated with increased carotid intima-media thickness only in type 2 diabetic subjects with insulin resistance

CONTEXT

The association between nonalcoholic fatty liver disease (NAFLD) and subclinical atherosclerosis in type 2 diabetes is controversial.

OBJECTIVE

The objective of the study was to investigate the participation of insulin resistance in the association of NAFLD and the carotid atherosclerotic burden in a large cohort of patients with type 2 diabetes.

DESIGN, SETTING, AND PATIENTS

This was an observational study performed in 4437 consecutively enrolled patients with type 2 diabetes.

MAIN OUTCOMES MEASURES

Hepatic steatosis and mean carotid intima-media thickness (C-IMT) were measured using ultrasonography. Insulin resistance was assessed using the short insulin tolerance test.

RESULTS

The prevalence of NAFLD was 72.7% in the whole study population. Among subjects with NAFLD, 23.2% were not insulin resistant. There were significant differences in C-IMT and the frequency of carotid atherosclerosis between groups classified by insulin resistance within the same NAFLD strata. C-IMT was highest in subjects with both NAFLD and insulin resistance [0.844 ± 0.004 (mean ± SE) mm vs 0.786 ± 0.008, 0.821 ± 0.007, and 0.807 ± 0.006 mm, P for trend <.001, respectively, in insulin sensitive subjects without NAFLD, insulin resistant subjects without NAFLD, and insulin sensitive subjects with NAFLD]. These differences remained after adjusting for potential confounders. However, C-IMT in subjects having only NAFLD or insulin resistance was not higher than that in those with neither NAFLD nor insulin resistance.

CONCLUSIONS

NAFLD is very common in subjects with type 2 diabetes, but NAFLD not accompanied by insulin resistance is not associated with a carotid atherosclerotic burden. However, having both NAFLD and insulin resistance seemed to be an independent predictor of increased C-IMT.

Hepatic steatosis in diabetic patients does not predict adverse liver-related or cardiovascular outcomes

BACKGROUND & AIMS

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.

CONCLUSION

Although steatosis on imaging is often the abnormality that triggers diagnosis and assessment of NAFLD/NASH, it lacks predictive value for adverse clinical outcomes.