Background & Aims: Hepatic fat content can be non-invasively estimated by controlled attenuation parameter (CAP) during transient elastography. The aim of this study was to examine the determinants and predictors of CAP values in individuals with metabolic dysfunction. Methods: We enrolled 1230 consecutive apparently healthy individuals (Liver-Bible-2022 cohort) with ≥3 metabolic dysfunction features. CAP was measured by Fibroscan. CAP determinants and predictors were identified using backward stepwise analysis and introduced in generalized linear models. Results: Participants were predominantly males (82.9%), mean age was 53.8 ± 6.4 years, 600 (48.8%) had steatosis (CAP ≥ 275 dB/m), and 27 had liver stiffness measurement (LSM) ≥ 8 kPa. CAP values correlated with LSM (p < 10−22). In multivariable analysis, fasting insulin and abdominal circumference (AC) were the main determinants of CAP (p < 10−6), together with body mass index (BMI; p < 10−4), age, diabetes, triglycerides, ferritin, and lower HDL and thyroid stimulating hormone (TSH; p < 0.05 for all). In a subset of 592 participants with thyroid hormone measurement, we found an association between higher free triiodothyronine levels, correlating with lower TSH, and CAP values, independent of TSH and of levothyroxine treatment (p = 0.0025). A clinical CAP score based on age, BMI, AC, HbA1c, ALT, and HDL predicted CAP ≥ 275 dB/m with moderate accuracy (AUROC = 0.73), which was better than that of the Fatty Liver Index and of ALT (AUROC = 0.70/0.61, respectively) and validated it in multiple cohorts. Conclusion: Abdominal adiposity and insulin resistance severity were the main determinants of CAP in individuals with metabolic dysfunction and may improve steatotic liver disease risk stratification. CAP values were modulated by the hypophysis-thyroid axis.

Predictors of controlled attenuation parameter in metabolic dysfunction / C. Bianco, S. Pelusi, S. Margarita, F. Tavaglione, O. Jamialahmadi, F. Malvestiti, G. Periti, J. Rondena, M. Tomasi, R. Carpani, L. Ronzoni, M. Vidali, F. Ceriotti, M. Fraquelli, U. Vespasiani-Gentilucci, S. Romeo, D. Prati, L. Valenti. - In: UNITED EUROPEAN GASTROENTEROLOGY JOURNAL. - ISSN 2050-6414. - 12:3(2024 Apr), pp. 364-373. [10.1002/ueg2.12513]

Predictors of controlled attenuation parameter in metabolic dysfunction

F. Malvestiti;L. Valenti
Ultimo
2024

Abstract

Background & Aims: Hepatic fat content can be non-invasively estimated by controlled attenuation parameter (CAP) during transient elastography. The aim of this study was to examine the determinants and predictors of CAP values in individuals with metabolic dysfunction. Methods: We enrolled 1230 consecutive apparently healthy individuals (Liver-Bible-2022 cohort) with ≥3 metabolic dysfunction features. CAP was measured by Fibroscan. CAP determinants and predictors were identified using backward stepwise analysis and introduced in generalized linear models. Results: Participants were predominantly males (82.9%), mean age was 53.8 ± 6.4 years, 600 (48.8%) had steatosis (CAP ≥ 275 dB/m), and 27 had liver stiffness measurement (LSM) ≥ 8 kPa. CAP values correlated with LSM (p < 10−22). In multivariable analysis, fasting insulin and abdominal circumference (AC) were the main determinants of CAP (p < 10−6), together with body mass index (BMI; p < 10−4), age, diabetes, triglycerides, ferritin, and lower HDL and thyroid stimulating hormone (TSH; p < 0.05 for all). In a subset of 592 participants with thyroid hormone measurement, we found an association between higher free triiodothyronine levels, correlating with lower TSH, and CAP values, independent of TSH and of levothyroxine treatment (p = 0.0025). A clinical CAP score based on age, BMI, AC, HbA1c, ALT, and HDL predicted CAP ≥ 275 dB/m with moderate accuracy (AUROC = 0.73), which was better than that of the Fatty Liver Index and of ALT (AUROC = 0.70/0.61, respectively) and validated it in multiple cohorts. Conclusion: Abdominal adiposity and insulin resistance severity were the main determinants of CAP in individuals with metabolic dysfunction and may improve steatotic liver disease risk stratification. CAP values were modulated by the hypophysis-thyroid axis.
No
English
abdominal circumference; CAP; controlled attenuation parameter; fasting insulin; fibroscan; liver stiffness measurement; LSM; metabolic syndrome; steatosis; thyroid; transient elastography
Settore MED/09 - Medicina Interna
Articolo
Esperti anonimi
Pubblicazione scientifica
Goal 3: Good health and well-being
   Liver Investigation: Testing Marker Utility in Steatohepatitis
   LITMUS
   EUROPEAN COMMISSION
   777377
apr-2024
23-dic-2023
Wiley Blackwell Publishing
12
3
364
373
10
Pubblicato
Periodico con rilevanza internazionale
manual
Aderisco
info:eu-repo/semantics/article
Predictors of controlled attenuation parameter in metabolic dysfunction / C. Bianco, S. Pelusi, S. Margarita, F. Tavaglione, O. Jamialahmadi, F. Malvestiti, G. Periti, J. Rondena, M. Tomasi, R. Carpani, L. Ronzoni, M. Vidali, F. Ceriotti, M. Fraquelli, U. Vespasiani-Gentilucci, S. Romeo, D. Prati, L. Valenti. - In: UNITED EUROPEAN GASTROENTEROLOGY JOURNAL. - ISSN 2050-6414. - 12:3(2024 Apr), pp. 364-373. [10.1002/ueg2.12513]
open
Prodotti della ricerca::01 - Articolo su periodico
18
262
Article (author)
Periodico con Impact Factor
C. Bianco, S. Pelusi, S. Margarita, F. Tavaglione, O. Jamialahmadi, F. Malvestiti, G. Periti, J. Rondena, M. Tomasi, R. Carpani, L. Ronzoni, M. Vidali...espandi
File in questo prodotto:
File Dimensione Formato  
UEG Journal - 2023 - Bianco - Predictors of controlled attenuation parameter in metabolic dysfunction.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 297.25 kB
Formato Adobe PDF
297.25 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1050105
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact