AI Article Synopsis

  • Diabetes and NAFLD have a two-way relationship, increasing the risk of liver complications, prompting a study on the impact of fasting glucose variability in early adulthood on NAFLD later in life.* -
  • The study tracked 2467 young adults over 25 years, analyzing their fasting glucose variability and later diagnosing NAFLD using specific criteria on CT scans.* -
  • Results indicated that individuals with higher fasting glucose variability in early adulthood had nearly three times the odds of developing NAFLD by middle age, suggesting that monitoring glucose fluctuations could identify those at higher risk.*

Article Abstract

Context: Diabetes has a bidirectional association with nonalcoholic fatty liver disease (NAFLD) and increases the risk of cirrhosis and related complications.

Objective: To investigate the association between visit-to-visit fasting glucose (FG) variability in early adulthood and NAFLD in middle age.

Methods: This prospective cohort study included 2467 Black and White adults aged 18 to 30 years at baseline (1985-1986) who were followed over 25 years in the Coronary Artery Risk Development in Young Adults Study. FG variability measures included coefficient of variation about the mean FG (CV-FG), the SD of FG (SD-FG), and the average real variability of FG (ARV-FG) across 25 years (year 0, 7, 10, 15, 20, and 25 examinations). NAFLD was defined as liver attenuation ≤ 40 Hounsfield units on computed tomography scan at year 25 examination after excluding other causes of hepatic steatosis.

Results: Of the 2467 participants, 241 (9.8%) had NAFLD at year 25. In multivariate analysis, the odds ratio for NAFLD was 2.80 (95% CI, 1.69-4.64; P trend < 0.001) for the fourth quartile vs first quartile of CV-FG after adjusting for confounding variables, including mean FG. Similar results were observed for SD-FG and ARV-FG.

Conclusion: Greater visit-to-visit FG variability in early adulthood was associated with higher risk of NAFLD in middle age independent of mean FG level. FG variability may help identify individuals at high risk for NAFLD.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272423PMC
http://dx.doi.org/10.1210/clinem/dgac122DOI Listing

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