Background: Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease worldwide. Recently several parameters, such as serum ferritin, have emerged as possible predictors for the severity of NAFLD and insulin sensitivity. We aimed to investigate the value of serum ferritin level as a useful biomarker for the prediction of disease severity in patients with NAFLD. Methods: This was a prospective cross sectional study in which demographic, clinical and laboratory data of 101 adult patients with NAFLD were analyzed. Results: In our patients population with mean age of 49.2 years and mean BMI of 31.9, it was also observed that ferritin level did not have a significant correlation with the stage of fibrosis (p = 0.835). Conclusion: Hyperferritinemia is common in patients with NAFLD but the extent of serum ferritin elevations do not predict the stage of underlying NAFLD disease.

Background:The second-leading cause of cirrhosis and liver transplantation in the world is non-alcoholic fatty liver disease (NAFLD). NAFLD encompasses a wide spectrum of diseases, including simple steatosis, non-alcoholic steatohepatitis (NASH), cirrhosis, and its effects, including hepatocellular cancer and mortality. In individuals with NAFLD, serum ferritin levels have been proposed as a potential predictor of the frequency and severity of liver fibrosis. The aim of the current study is to evaluate serum levels of ferritin in NAFILD as predictor to disease severity and its relation to male gender and smoking. Patients and methods: Ninety-nine adults enrolled in the study between January 2019 and May 2019. Patients had to have NAFLD, based on the NAFLD Liver Fat Score (NLFS Score) and the Hepatic Steatosis Index (HIS Score). Advanced fibrosis was defined as stages 3-4. Analyses were performed. Serum ferritin levels were assessed for each through venous sampling.Results: On assessment of liver fibrosis by the FIB-4 index, there was 67 had F0 (67.7%), 27 had F1-2 (27.3%) and 5 had F3-4 (5.1%). there was a significant correlation between serum ferritin and disease severity. Male patients had higher significant values than females (p=0.003). Smoker patients showed highly significant values in comparison to non-smokers (p=0.014) serum ferritin where it was higher in males. No significant correlation was found between liver fibrosis and serum ferritin. Conclusions: In NAFLD patients, higher serum ferritin was linked to male gender and smoking history. The findings suggest that NAFLD in a male smoker adult is more susceptible to liver disease development and should be treated aggressively.

AIM: The aim of the study is to compare the accuracy of surgical guided implant produced by intraoral scanner, desktop scanner, and CBCT cast scan. SUBJECTS AND METHODS: A total of 63 dental implants were placed using 14 surgical guides. A total of 15 subjects, eight males and seven females (eight bilateral cases and seven unliteral cases), with mean age of 45 years (38–55 years) were included in the study. Patients were randomly divided into three groups (n = 21 each): Group 1: Surgical guide manufactured using intraoral digital impression. Group 2: Surgical guide manufactured using model cast scanning by CBCT while Group 3: Surgical guide manufactured using model cast scanning by desktop scanner the linear and angular deviations of inserted planned implants were measured. RESULTS: In the intraoral scan group, the mean angular deviation, platform 3D deviation, apical 3D deviation, and vertical deviation were 2.5°, 0.7 mm, 1.1 mm, and 0.6 mm, respectively. While in desktop scanner group, the mean angular deviation, platform 3D deviation, apical 3D deviation, and vertical deviation were 2.6°, 0.1 mm, 1.1 mm, and 1.1 mm, respectively. In the CBCT scan group, the mean angular deviation, 3D platform deviation, 3D apical deviation, and vertical deviation were 3.5°, 1.3 mm, 1.6 mm, and 1.7 mm, respectively. There is no statistically significance difference between intraoral scanner, CBCT cast scan, and desktop scanning on implant deviation that was observed. CONCLUSION: There was no statistically significance difference between intraoral scanner, CBCT cast scan, and desktop scanning on implant deviation that was observed although IOS shows better accuracy and least mean angular deviation.