biostudies-literatureUnknown30(1)Wu J<h4>Objective</h4>Evidence regarding the relationship between the hepatic steatosis index (HSI) and glycemic conversion outcomes in individuals with impaired fasting glucose (IFG) is still limited. Our study aims to explore the role of HSI in the reversion to normoglycemia or the progression to diabetes among Chinese IFG individuals.<h4>Methods</h4>We conducted a retrospective analysis using data from 11,327 IFG individuals who had undergone wellness examinations at Rich Healthcare Group. To analyze the association between the baseline HSI and glucose status conversion, a Cox regression model was used, and the hazard ratio (HR) and 95% confidence interval (CI) were computed. A generalized additive model was used to examine non-linear relationships. A two-piecewise binary logistic regressioEuropean journal of medical research100https://www.ebi.ac.uk/biostudies/studies/S-EPMC11827240biostudies-literatureAssociation between hepatic steatosis index and glucose status conversion from impaired fasting glucose base on Chinese adults: a cohort study from real-world.PMC11827240Wu JChen QLin YYZou JZChen YYChen HHHuang XDfalseAssociation between hepatic steatosis index and glucose status conversion from impaired fasting glucose base on Chinese adults: a cohort study from real-world.<h4>Objective</h4>Evidence regarding the relationship between the hepatic steatosis index (HSI) and glycemic conversion outcomes in individuals with impaired fasting glucose (IFG) is still limited. Our study aims to explore the role of HSI in the reversion to normoglycemia or the progression to diabetes among Chinese IFG individuals.<h4>Methods</h4>We conducted a retrospective analysis using data from 11,327 IFG individuals who had undergone wellness examinations at Rich Healthcare Group. To analyze the association between the baseline HSI and glucose status conversion, a Cox regression model was used, and the hazard ratio (HR) and 95% confidence interval (CI) were computed. A generalized additive model was used to examine non-linear relationships. A two-piecewise binary logistic regressio2025-01-01T00:00:00Z2025 Feb2026-05-29T17:12:57.243Z2025-04-19T21:15:49.197ZS-EPMC118272403995363810.1186/s40001-025-02354-4