Fatty Liver Disease in Patients with Prediabetes and Overweight or Obesity.
María Arias-FernándezSergio FresnedaManuela AbbateMarina Torres-CarballoAina Huguet-TorresCristian Sánchez-RodríguezMiquel Bennasar VenyAina Maria Yañez JuanCarla Busquets-CortésPublished in: Metabolites (2023)
Non-alcoholic fatty liver disease (NAFLD) is a global health problem associated with liver morbimortality, obesity, and type 2 diabetes mellitus. This study aimed to analyze the prevalence of NAFLD (defined as a fatty liver index [FLI] ≥ 60) and its association with other cardiovascular risk (CVR) factors in patients with prediabetes and overweight/obesity. The present cross-sectional analysis uses baseline data from an ongoing randomized clinical trial. Sociodemographic and anthropometric characteristics, CVR (assessed by the REGICOR-Framingham risk equation), metabolic syndrome (MetS), and FLI-defined NAFLD (cut-off value of ≥60) were assessed. The prevalence of FLI-defined NAFLD was 78% overall. Men exhibited a worse cardiometabolic profile as compared to women, specifically, with higher values of systolic blood pressure (137.02 ± 13.48 vs. 131.22 ± 14.77 mmHg), diastolic blood pressure (85.33 ± 9.27 vs. 82.3 ± 9.12 mmHg), aspartate aminotransferase (AST) (27.23 ± 12.15 vs. 21.23 ± 10.05 IU/L), alanine aminotransferase (ALT) (34.03 ± 23.31 vs. 21.73 ± 10.80 IU/L), and higher CVR (5.58 ± 3.16 vs. 3.60 ± 1.68). FLI-defined NAFLD was associated with elevated AST, ALT, and the presence of MetS (73.7%) and CVR for the whole sample. People with prediabetes present a high burden of comorbidities related to CVR, despite clinical follow-up, and it is recommended to actively begin working with them to reduce their risks.
Keyphrases
- blood pressure
- metabolic syndrome
- weight loss
- insulin resistance
- weight gain
- global health
- type diabetes
- cross sectional
- risk factors
- high fat diet induced
- hypertensive patients
- heart rate
- left ventricular
- cardiovascular risk factors
- body composition
- public health
- physical activity
- skeletal muscle
- body mass index
- uric acid
- machine learning
- risk assessment
- fatty acid
- electronic health record
- cardiovascular disease
- climate change
- adipose tissue
- blood glucose
- pregnancy outcomes
- deep learning