Clinical and Biochemical Predictors of Nonalcoholic Fatty Liver Disease among Type 2 Diabetes Mellitus Patients at Primary Health Care Level in South Western Saudi Arabia

Objectives: To predict the role of different clinical and biochemical parameters in identifying nonalcoholic fatty liver disease (NAFLD) among patients with type 2 diabetes mellitus (T2DM) in Abha city, southwestern Saudi Arabia. Methods: A stratified random sample was selected. A detailed clinical...

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Bibliographic Details
Published in:Diagnostics (Basel) 2020-10, Vol.10 (10), p.809
Main Authors: Al Humayed, Suliman M., Al Sabaani, Abdullah A., Mahfouz, Ahmed A., Awadalla, Nabil J., Musa, Mustafa Jafar, Patel, Ayyub
Format: Article
Language:English
Subjects:
Abdomen
Age
ALT
Body mass index
Confidence intervals
Diabetes
Hepatitis
Hypotheses
Laboratories
Lipoproteins
Liver diseases
nonalcoholic fatty liver disease
Primary care
ROC analysis
Saudi Arabia
Software
Systematic review
Triglycerides
type 2 diabetes mellitus
Ultrasonic imaging
Values
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Summary:Objectives: To predict the role of different clinical and biochemical parameters in identifying nonalcoholic fatty liver disease (NAFLD) among patients with type 2 diabetes mellitus (T2DM) in Abha city, southwestern Saudi Arabia. Methods: A stratified random sample was selected. A detailed clinical and biochemical examinations were performed. Using portable abdominal ultrasound examination, NAFLD was identified. The study used receiver operating characteristic (ROC) analysis. Results: The study covered 237 T2DM patients. NAFLD was detected among 174 patients. Area under the curve (AUC) calculations showed that the ability of age, duration of DM in years, and body mass index to predict NAFLD was poor (AUC < 0.6). Similarly, biochemical factors like HbA1c%, AST, cholesterol, triglycerides, HDL, LDL, and VLDL were poor in discriminating between those with and without NAFLD among T2DM. On the other hand, the ability of ALT to predict NAFLD among T2DM was good (AUC = 0.701, 95% CI: 0.637–0.761). The analysis identified the optimal cutoff point of ALT to be ≤22.1 nmol/L. The corresponding sensitivity was 60.7% (95% CI: 53.0–68.0) and specificity was 62.5% (95% CI: 49.5–74.3). Conclusions: Early identification of NAFLD among T2DM is important. A threshold cutoff value of 22.1 nmol/L of ALT has been identified to predict NAFLD. They should be referred for ultrasound examination for NAFLD.
ISSN:2075-4418
2075-4418
DOI:10.3390/diagnostics10100809