Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity
Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large populati...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Melania, Gaggini [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Eating and weight disorders - Cham : Springer International Publ., 1997, 27(2022), 7 vom: 09. Mai, Seite 2617-2627 |
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| Übergeordnetes Werk: |
volume:27 ; year:2022 ; number:7 ; day:09 ; month:05 ; pages:2617-2627 |
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| DOI / URN: |
10.1007/s40519-022-01400-y |
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| Katalog-ID: |
SPR048346799 |
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| 520 | |a Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. | ||
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10.1007/s40519-022-01400-y doi (DE-627)SPR048346799 (SPR)s40519-022-01400-y-e DE-627 ger DE-627 rakwb eng Melania, Gaggini verfasserin aut Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. Non-invasive indices (dpeaa)DE-He213 Fibrosis (dpeaa)DE-He213 Steatosis (dpeaa)DE-He213 Concordance (dpeaa)DE-He213 Overweight and obesity (dpeaa)DE-He213 Luisella, Vigna aut Salvina, Di Piazza aut Francesca, Gori aut Amedea Silvia, Tirelli aut Fabrizia, Bamonti aut Maristella, Maltinti aut Filomena, Napolitano aut Kyriazoula, Chatzianagnostou aut Vassalle, Cristina (orcid)0000-0003-3438-6450 aut Enthalten in Eating and weight disorders Cham : Springer International Publ., 1997 27(2022), 7 vom: 09. Mai, Seite 2617-2627 (DE-627)336453582 (DE-600)2061177-8 1590-1262 nnns volume:27 year:2022 number:7 day:09 month:05 pages:2617-2627 https://dx.doi.org/10.1007/s40519-022-01400-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2022 7 09 05 2617-2627 |
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10.1007/s40519-022-01400-y doi (DE-627)SPR048346799 (SPR)s40519-022-01400-y-e DE-627 ger DE-627 rakwb eng Melania, Gaggini verfasserin aut Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. Non-invasive indices (dpeaa)DE-He213 Fibrosis (dpeaa)DE-He213 Steatosis (dpeaa)DE-He213 Concordance (dpeaa)DE-He213 Overweight and obesity (dpeaa)DE-He213 Luisella, Vigna aut Salvina, Di Piazza aut Francesca, Gori aut Amedea Silvia, Tirelli aut Fabrizia, Bamonti aut Maristella, Maltinti aut Filomena, Napolitano aut Kyriazoula, Chatzianagnostou aut Vassalle, Cristina (orcid)0000-0003-3438-6450 aut Enthalten in Eating and weight disorders Cham : Springer International Publ., 1997 27(2022), 7 vom: 09. Mai, Seite 2617-2627 (DE-627)336453582 (DE-600)2061177-8 1590-1262 nnns volume:27 year:2022 number:7 day:09 month:05 pages:2617-2627 https://dx.doi.org/10.1007/s40519-022-01400-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2022 7 09 05 2617-2627 |
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10.1007/s40519-022-01400-y doi (DE-627)SPR048346799 (SPR)s40519-022-01400-y-e DE-627 ger DE-627 rakwb eng Melania, Gaggini verfasserin aut Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. Non-invasive indices (dpeaa)DE-He213 Fibrosis (dpeaa)DE-He213 Steatosis (dpeaa)DE-He213 Concordance (dpeaa)DE-He213 Overweight and obesity (dpeaa)DE-He213 Luisella, Vigna aut Salvina, Di Piazza aut Francesca, Gori aut Amedea Silvia, Tirelli aut Fabrizia, Bamonti aut Maristella, Maltinti aut Filomena, Napolitano aut Kyriazoula, Chatzianagnostou aut Vassalle, Cristina (orcid)0000-0003-3438-6450 aut Enthalten in Eating and weight disorders Cham : Springer International Publ., 1997 27(2022), 7 vom: 09. Mai, Seite 2617-2627 (DE-627)336453582 (DE-600)2061177-8 1590-1262 nnns volume:27 year:2022 number:7 day:09 month:05 pages:2617-2627 https://dx.doi.org/10.1007/s40519-022-01400-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2022 7 09 05 2617-2627 |
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10.1007/s40519-022-01400-y doi (DE-627)SPR048346799 (SPR)s40519-022-01400-y-e DE-627 ger DE-627 rakwb eng Melania, Gaggini verfasserin aut Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. Non-invasive indices (dpeaa)DE-He213 Fibrosis (dpeaa)DE-He213 Steatosis (dpeaa)DE-He213 Concordance (dpeaa)DE-He213 Overweight and obesity (dpeaa)DE-He213 Luisella, Vigna aut Salvina, Di Piazza aut Francesca, Gori aut Amedea Silvia, Tirelli aut Fabrizia, Bamonti aut Maristella, Maltinti aut Filomena, Napolitano aut Kyriazoula, Chatzianagnostou aut Vassalle, Cristina (orcid)0000-0003-3438-6450 aut Enthalten in Eating and weight disorders Cham : Springer International Publ., 1997 27(2022), 7 vom: 09. Mai, Seite 2617-2627 (DE-627)336453582 (DE-600)2061177-8 1590-1262 nnns volume:27 year:2022 number:7 day:09 month:05 pages:2617-2627 https://dx.doi.org/10.1007/s40519-022-01400-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2022 7 09 05 2617-2627 |
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10.1007/s40519-022-01400-y doi (DE-627)SPR048346799 (SPR)s40519-022-01400-y-e DE-627 ger DE-627 rakwb eng Melania, Gaggini verfasserin aut Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. Non-invasive indices (dpeaa)DE-He213 Fibrosis (dpeaa)DE-He213 Steatosis (dpeaa)DE-He213 Concordance (dpeaa)DE-He213 Overweight and obesity (dpeaa)DE-He213 Luisella, Vigna aut Salvina, Di Piazza aut Francesca, Gori aut Amedea Silvia, Tirelli aut Fabrizia, Bamonti aut Maristella, Maltinti aut Filomena, Napolitano aut Kyriazoula, Chatzianagnostou aut Vassalle, Cristina (orcid)0000-0003-3438-6450 aut Enthalten in Eating and weight disorders Cham : Springer International Publ., 1997 27(2022), 7 vom: 09. Mai, Seite 2617-2627 (DE-627)336453582 (DE-600)2061177-8 1590-1262 nnns volume:27 year:2022 number:7 day:09 month:05 pages:2617-2627 https://dx.doi.org/10.1007/s40519-022-01400-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2022 7 09 05 2617-2627 |
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Enthalten in Eating and weight disorders 27(2022), 7 vom: 09. Mai, Seite 2617-2627 volume:27 year:2022 number:7 day:09 month:05 pages:2617-2627 |
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Non-invasive indices Fibrosis Steatosis Concordance Overweight and obesity |
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Melania, Gaggini @@aut@@ Luisella, Vigna @@aut@@ Salvina, Di Piazza @@aut@@ Francesca, Gori @@aut@@ Amedea Silvia, Tirelli @@aut@@ Fabrizia, Bamonti @@aut@@ Maristella, Maltinti @@aut@@ Filomena, Napolitano @@aut@@ Kyriazoula, Chatzianagnostou @@aut@@ Vassalle, Cristina @@aut@@ |
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Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. 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Melania, Gaggini |
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Melania, Gaggini misc Non-invasive indices misc Fibrosis misc Steatosis misc Concordance misc Overweight and obesity Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity |
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Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity Non-invasive indices (dpeaa)DE-He213 Fibrosis (dpeaa)DE-He213 Steatosis (dpeaa)DE-He213 Concordance (dpeaa)DE-He213 Overweight and obesity (dpeaa)DE-He213 |
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misc Non-invasive indices misc Fibrosis misc Steatosis misc Concordance misc Overweight and obesity |
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Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity |
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Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity |
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Melania, Gaggini Luisella, Vigna Salvina, Di Piazza Francesca, Gori Amedea Silvia, Tirelli Fabrizia, Bamonti Maristella, Maltinti Filomena, Napolitano Kyriazoula, Chatzianagnostou Vassalle, Cristina |
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concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity |
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Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity |
| abstract |
Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 |
| abstractGer |
Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 |
| abstract_unstemmed |
Background The non-invasive assessment of steatosis/fibrosis tried to overcome some of peri-procedural risk of liver biopsy; for this, several indices of steatosis and fibrosis in liver have been proposed. Aim To evaluate concordance of non-invasive fibrosis and steatosis indices in a large population of adult subjects at risk of NAFLD, and how obesity and its physio-pathological features may interact with steatosis/fibrosis indexes and related biomarkers of cardio-metabolic risk. Methods Indices of steatosis (fatty liver index-FLI), NAFLD liver fat score-NLFS)) and fibrosis (Fibrosis 4 (FIB-4), BARD, BAAT and FORN) were calculated in 1145 outpatients with overweight or obesity at risk for T2D and NAFLD. Indices were correlated with clinical variables. Results Concordance between tests occurred in 81% of the overall values between FLI and NLFS, but was lower when comparing the other fibrosis scores (FIB-4 vs FORN 72%, FIB-4 vs BARD 36%, BARD vs FORN 46%, BARD vs BAAT 58%, FIB-4 vs BAAT 46%, BAAT vs FORN 62%). Each index was differently correlated with anthropometric, clinical and laboratory variables. Conclusion: Indices evaluated retain low concordance, clinicians should be aware of these differences between steatosis/fibrosis scores when expressing a differential liver disease diagnosis or assessing the progression of a known liver disease. Level of evidence Level V, descriptive research. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 |
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Concordance between indirect fibrosis and steatosis indices and their predictors in subjects with overweight/obesity |
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Luisella, Vigna Salvina, Di Piazza Francesca, Gori Amedea Silvia, Tirelli Fabrizia, Bamonti Maristella, Maltinti Filomena, Napolitano Kyriazoula, Chatzianagnostou Vassalle, Cristina |
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Luisella, Vigna Salvina, Di Piazza Francesca, Gori Amedea Silvia, Tirelli Fabrizia, Bamonti Maristella, Maltinti Filomena, Napolitano Kyriazoula, Chatzianagnostou Vassalle, Cristina |
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| score |
7.4010725 |