Association between continuous glucose monitoring metrics and metabolic dysfunction-associated steatotic liver disease in adults with type 1 diabetes undergoing vibration-controlled transient elastography: a multicenter cross-sectional study - 05/07/25

Doi : 10.1016/j.diabet.2025.101684

Alessandro Mantovani ^1,^2,^⁎ , Stefano Ciardullo ^3,⁴, Elena Sani ⁵, Alessandro Csermely ⁵, Emigela Shtembari ⁵, Ilaria Milani ⁶, Paolo Sbraccia ⁷, Gianluca Perseghin ^3,⁴, Frida Leonetti ⁶, Giovanni Targher ^1,², Valeria Guglielmi ^7,^{^{¶
These Authors contributed equally to this work and served as co-lead authors.}}, Danila Capoccia ^6,^{^{¶
These Authors contributed equally to this work and served as co-lead authors.}}
¹ Department of Medicine, University of Verona, Verona, Italy
² Metabolic Diseases Research Unit, IRCCS Sacro Cuore-Don Calabria Hospital, Negrar di Valpolicella (VR), Italy
³ Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
⁴ Department of Medicine and Surgery, University of Milano Bicocca, Milan, Italy
⁵ Section of Endocrinology, Diabetes and Metabolism, Department of Medicine, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
⁶ Department of Medico-Surgical Sciences and Biotechnologies, Faculty of Pharmacy and Medicine, University of Rome La Sapienza, 04100 Latina, Italy.
⁷ Department of Systems Medicine, University of Rome Tor Vergata, Obesity Medical Center, University Hospital Policlinico Tor Vergata, Rome, Italy.

^⁎Corresponding author: Prof. Alessandro Mantovani, MD, PhD, Department of Medicine, University of Verona, Verona, Italy. Metabolic Diseases Research Unit, IRCCS Sacro Cuore – Don Calabria Hospital, Negrar di Valpolicella (VR), Italy.Department of MedicineUniversity of Verona, Verona, Italy. Metabolic Diseases Research Unit, IRCCS Sacro Cuore – Don Calabria Hospital, Negrar di Valpolicella (VR)Italy

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ABSTRACT

Background

- There is uncertainty regarding the association between continuous glucose monitoring (CGM), derived glycemic metrics, and metabolic dysfunction-associated steatotic liver disease (MASLD) in individuals with type 1 diabetes (T1D).

Methods

- We consecutively enrolled 262 adult individuals with established T1D undergoing vibration-controlled transient elastography (VCTE) with liver stiffness measurement (LSM) and controlled attenuation parameter (CAP). All participants underwent CGM. MASLD was defined as CAP ≥248 dB/m and the presence of at least one cardiometabolic risk factor. Significant liver fibrosis was defined as LSM ≥8 kPa.

Results

- Participants had a mean age of 54±13 years, a mean body mass index (BMI) of 25.8±5.6 kg/m² and a mean HbA1c of 7.7 ± 1.4%. The prevalence of MASLD and significant liver fibrosis was 35.1% (n=92) and 4.6% (n=12), respectively. Using quantile regression analysis, time above range 180-250 mg/dl (TAR1) was significantly associated with increased CAP values (coefficient: 1.037; 95% confidence interval [0.216;1.858]; P=0.013). This association remained significant even after adjusting for age, sex, BMI, HbA1c, and total daily insulin dose. Other variables independently associated with CAP were older age, male sex, BMI, and total daily insulin dose. Using a random forest regression model, BMI was found to be the most important factor, followed by age, total daily insulin dose, and TAR1.

Conclusions

- TAR1 was independently associated with increased CAP values, even after adjustment for age, BMI, sex, HbA1c, and total daily insulin dose, suggesting a potential role for glycemic variability in hepatic fat accumulation in adults with T1D.

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Keywords : CAP, CMG, Fibroscan, Hepatic steatosis, Machine learning, MASLD, Metabolic dysfunction-associated steatotic liver disease, Random forest, Type 1 diabetes