Predictors of controlled attenuation parameter in metabolic dysfunction Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1002/ueg2.12513
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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ueg2.12513
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ueg2.12513
- OA Status
- hybrid
- Cited By
- 8
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390145342
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390145342Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/ueg2.12513Digital Object Identifier
- Title
-
Predictors of controlled attenuation parameter in metabolic dysfunctionWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-12-23Full publication date if available
- Authors
-
Cristiana Bianco, Serena Pelusi, Sara Margarita, Federica Tavaglione, Oveis Jamialahmadi, Francesco Malvestiti, Giulia Periti, Jessica Rondena, Melissa Tomasi, Rossana Carpani, Luisa Ronzoni, Matteo Vidali, Ferruccio Ceriotti, Mirella Fraquelli, Umberto Vespasiani‐Gentilucci, Stefano Romeo, Daniele Prati, Luca ValentiList of authors in order
- Landing page
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https://doi.org/10.1002/ueg2.12513Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ueg2.12513Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ueg2.12513Direct OA link when available
- Concepts
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Medicine, Internal medicine, Body mass index, Endocrinology, Gastroenterology, Transient elastography, Levothyroxine, Diabetes mellitus, Steatosis, Cohort, Hormone, Cirrhosis, Liver fibrosisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
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2024: 7, 2023: 1Per-year citation counts (last 5 years)
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38Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.respectively) | 243 |
| abstract_inverted_index.triglycerides, | 151 |
| abstract_inverted_index.stratification. | 275 |
| abstract_inverted_index.non‐invasively | 9 |
| abstract_inverted_index.triiodothyronine | 183 |
| abstract_inverted_index.hypophysis‐thyroid | 282 |
| abstract_inverted_index.(Liver‐Bible‐2022 | 47 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5050497878 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 18 |
| corresponding_institution_ids | https://openalex.org/I189158943, https://openalex.org/I2803066834 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.90619663 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |