Utility of Fatty Liver Index to predict reversion to normoglycemia in people with prediabetes
Fatty Liver Index (FLI) is strongly associated with changes in glycemic status and incident Type 2 Diabetes (T2D). The probability of reverting to normoglycemia from a state prediabetes could be determined by FLI, however such relationship remains poorly understood. To determine the clinical interes...
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| description | Fatty Liver Index (FLI) is strongly associated with changes in glycemic status and incident Type 2 Diabetes (T2D). The probability of reverting to normoglycemia from a state prediabetes could be determined by FLI, however such relationship remains poorly understood.
To determine the clinical interest of using FLI to estimate prediabetes reversion at 5 years in patients with impaired fasting plasma glucose at baseline, and identify those factors associated with changes in FLI, that could contribute to the reversion of prediabetes.
This 5-year cohort study included 16,648 Spanish working adults with prediabetes. Prediabetes was defined as fasting plasma glucose (FPG) between 100 and 125 mg/dl according to the ADA criteria, while prediabetes reversion was defined as a FPG |
| doi_str_mv | 10.1371/journal.pone.0249221 |
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To determine the clinical interest of using FLI to estimate prediabetes reversion at 5 years in patients with impaired fasting plasma glucose at baseline, and identify those factors associated with changes in FLI, that could contribute to the reversion of prediabetes.
This 5-year cohort study included 16,648 Spanish working adults with prediabetes. Prediabetes was defined as fasting plasma glucose (FPG) between 100 and 125 mg/dl according to the ADA criteria, while prediabetes reversion was defined as a FPG <100 mg/dL. The population was classified as: FLI <30 (no hepatic steatosis), FLI 30-59 (intermediate status), and FLI ≥60 (hepatic steatosis).
At 5 years follow-up, 33.7% of subjects reverted to normoglycemia (annual rate of 6.7%). The adjusted binomial logistic regression model showed that scoring FLI <30 (OR 1.544; 95% CI 1.355-1.759), performing at least 150 min/week of physical activity (OR 4.600; 95% CI 4.088-5.177) and consuming fruits and vegetables daily (OR 1.682; 95% CI 1.526-1.855) were associated with the probability of reverting form prediabetes to normoglycemia. The ROC curve for prediction of reversion showed that FLI (AUC 0.774;95% CI 0.767-0.781) was a better predictor than FPG (AUC 0.656; 95% CI 0.648-0.664).
Regular physical activity, healthy dietary habits and absence of hepatic steatosis are independently associated with the probability of reversion to normoglycemia in adult workers with prediabetes at baseline. Low FLI values (especially FLI< 30) may be useful to predict the probability of prediabetes reversion, especially in active subjects with healthy eating habits, and thus identify those who might benefit from early lifestyle intervention.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0249221</identifier><identifier>PMID: 33822783</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Body mass ; Body mass index ; Body size ; Body weight ; Care and treatment ; Colleges & universities ; Complications and side effects ; Data analysis ; Diabetes ; Diabetes mellitus ; Diagnosis ; Editing ; Epidemics ; Epidemiology ; Exercise ; Fatty liver ; Glucose ; Group dynamics ; Health research ; Health risks ; Health sciences ; Health services ; Indexes ; Insulin ; Insulin resistance ; Internet ; Islands ; Lifestyles ; Liver ; Liver diseases ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Nurses ; Nursing ; Nutritional aspects ; Physical Sciences ; Physical therapy ; Physiological aspects ; Population ; Prediabetic state ; Prevention ; Public health ; Resistance ; Reversion ; Reviews ; Risk ; Scholarship ; Scores ; Social classes ; Steatosis ; Triglycerides ; Type 2 diabetes ; γ-Glutamyltransferase</subject><ispartof>PloS one, 2021-04, Vol.16 (4), p.e0249221-e0249221</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Busquets-Cortés et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Busquets-Cortés et al 2021 Busquets-Cortés et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-8aac616060fce3e1bc44e8d9931c6d3d9f2070a46dd62fc3a3249a3e49b954553</citedby><cites>FETCH-LOGICAL-c692t-8aac616060fce3e1bc44e8d9931c6d3d9f2070a46dd62fc3a3249a3e49b954553</cites><orcidid>0000-0003-1668-2141</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023449/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023449/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27344,27924,27925,33774,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33822783$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Greene, Michael W</contributor><creatorcontrib>Busquets-Cortés, Carla</creatorcontrib><creatorcontrib>Bennasar-Veny, Miquel</creatorcontrib><creatorcontrib>López-González, Ángel Arturo</creatorcontrib><creatorcontrib>Fresneda, Sergio</creatorcontrib><creatorcontrib>Abbate, Manuela</creatorcontrib><creatorcontrib>Yáñez, Aina M</creatorcontrib><title>Utility of Fatty Liver Index to predict reversion to normoglycemia in people with prediabetes</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Fatty Liver Index (FLI) is strongly associated with changes in glycemic status and incident Type 2 Diabetes (T2D). The probability of reverting to normoglycemia from a state prediabetes could be determined by FLI, however such relationship remains poorly understood.
To determine the clinical interest of using FLI to estimate prediabetes reversion at 5 years in patients with impaired fasting plasma glucose at baseline, and identify those factors associated with changes in FLI, that could contribute to the reversion of prediabetes.
This 5-year cohort study included 16,648 Spanish working adults with prediabetes. Prediabetes was defined as fasting plasma glucose (FPG) between 100 and 125 mg/dl according to the ADA criteria, while prediabetes reversion was defined as a FPG <100 mg/dL. The population was classified as: FLI <30 (no hepatic steatosis), FLI 30-59 (intermediate status), and FLI ≥60 (hepatic steatosis).
At 5 years follow-up, 33.7% of subjects reverted to normoglycemia (annual rate of 6.7%). The adjusted binomial logistic regression model showed that scoring FLI <30 (OR 1.544; 95% CI 1.355-1.759), performing at least 150 min/week of physical activity (OR 4.600; 95% CI 4.088-5.177) and consuming fruits and vegetables daily (OR 1.682; 95% CI 1.526-1.855) were associated with the probability of reverting form prediabetes to normoglycemia. The ROC curve for prediction of reversion showed that FLI (AUC 0.774;95% CI 0.767-0.781) was a better predictor than FPG (AUC 0.656; 95% CI 0.648-0.664).
Regular physical activity, healthy dietary habits and absence of hepatic steatosis are independently associated with the probability of reversion to normoglycemia in adult workers with prediabetes at baseline. Low FLI values (especially FLI< 30) may be useful to predict the probability of prediabetes reversion, especially in active subjects with healthy eating habits, and thus identify those who might benefit from early lifestyle intervention.</description><subject>Biology and Life Sciences</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Care and treatment</subject><subject>Colleges & universities</subject><subject>Complications and side effects</subject><subject>Data analysis</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diagnosis</subject><subject>Editing</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Fatty liver</subject><subject>Glucose</subject><subject>Group dynamics</subject><subject>Health research</subject><subject>Health risks</subject><subject>Health sciences</subject><subject>Health services</subject><subject>Indexes</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Internet</subject><subject>Islands</subject><subject>Lifestyles</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Nurses</subject><subject>Nursing</subject><subject>Nutritional aspects</subject><subject>Physical Sciences</subject><subject>Physical therapy</subject><subject>Physiological aspects</subject><subject>Population</subject><subject>Prediabetic state</subject><subject>Prevention</subject><subject>Public health</subject><subject>Resistance</subject><subject>Reversion</subject><subject>Reviews</subject><subject>Risk</subject><subject>Scholarship</subject><subject>Scores</subject><subject>Social classes</subject><subject>Steatosis</subject><subject>Triglycerides</subject><subject>Type 2 diabetes</subject><subject>γ-Glutamyltransferase</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1GL1DAQx4so3nn6DUQLgujDrmmSpsmLcByeLiwcqOebhDSZ7mbpNjVJz9tvb9btHVu5B8lDwvT3_6czmcmylwWaF6QqPmzc4DvVznvXwRxhKjAuHmWnhSB4xjAij4_OJ9mzEDYIlYQz9jQ7IYRjXHFymv28jra1cZe7Jr9UMR2W9gZ8vugM3ObR5b0HY3XMPaRwsK7bBzvnt27V7jRsrcptl_fg-hby3zauDwpVQ4TwPHvSqDbAi3E_y64vP32_-DJbXn1eXJwvZ5oJHGdcKc0KhhhqNBAoak0pcCMEKTQzxIgGowopyoxhuNFEkZSuIkBFLUpaluQse33w7VsX5FiZIHGJBCYlL3giFgfCOLWRvbdb5XfSKSv_BpxfSeWj1S1IXnNdC6qMUpQaKAUyDeOYVpo1nBtIXh_H24Z6C0ZDF71qJ6bTL51dy5W7kRxhQqlIBu9GA-9-DRCi3NqgoW1VB244_DdDpeAooW_-QR_ObqRWKiVgu8ale_XeVJ6zsioZF9Xea_4AlZZJz6hTGzU2xSeC9xNBYiLcxpUaQpCLb1__n736MWXfHrFrUG1cB9cOMbVXmIL0AGrvQvDQ3Be5QHI_BXfVkPspkOMUJNmr4we6F921PfkDkOwDBA</recordid><startdate>20210406</startdate><enddate>20210406</enddate><creator>Busquets-Cortés, 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of Fatty Liver Index to predict reversion to normoglycemia in people with prediabetes</title><author>Busquets-Cortés, Carla ; Bennasar-Veny, Miquel ; López-González, Ángel Arturo ; Fresneda, Sergio ; Abbate, Manuela ; Yáñez, Aina M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-8aac616060fce3e1bc44e8d9931c6d3d9f2070a46dd62fc3a3249a3e49b954553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Biology and Life Sciences</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Care and treatment</topic><topic>Colleges & universities</topic><topic>Complications and side effects</topic><topic>Data analysis</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diagnosis</topic><topic>Editing</topic><topic>Epidemics</topic><topic>Epidemiology</topic><topic>Exercise</topic><topic>Fatty liver</topic><topic>Glucose</topic><topic>Group dynamics</topic><topic>Health research</topic><topic>Health risks</topic><topic>Health sciences</topic><topic>Health services</topic><topic>Indexes</topic><topic>Insulin</topic><topic>Insulin resistance</topic><topic>Internet</topic><topic>Islands</topic><topic>Lifestyles</topic><topic>Liver</topic><topic>Liver diseases</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Nurses</topic><topic>Nursing</topic><topic>Nutritional aspects</topic><topic>Physical Sciences</topic><topic>Physical therapy</topic><topic>Physiological aspects</topic><topic>Population</topic><topic>Prediabetic state</topic><topic>Prevention</topic><topic>Public health</topic><topic>Resistance</topic><topic>Reversion</topic><topic>Reviews</topic><topic>Risk</topic><topic>Scholarship</topic><topic>Scores</topic><topic>Social 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Busquets-Cortés, Carla</au><au>Bennasar-Veny, Miquel</au><au>López-González, Ángel Arturo</au><au>Fresneda, Sergio</au><au>Abbate, Manuela</au><au>Yáñez, Aina M</au><au>Greene, Michael W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utility of Fatty Liver Index to predict reversion to normoglycemia in people with prediabetes</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-04-06</date><risdate>2021</risdate><volume>16</volume><issue>4</issue><spage>e0249221</spage><epage>e0249221</epage><pages>e0249221-e0249221</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Fatty Liver Index (FLI) is strongly associated with changes in glycemic status and incident Type 2 Diabetes (T2D). The probability of reverting to normoglycemia from a state prediabetes could be determined by FLI, however such relationship remains poorly understood.
To determine the clinical interest of using FLI to estimate prediabetes reversion at 5 years in patients with impaired fasting plasma glucose at baseline, and identify those factors associated with changes in FLI, that could contribute to the reversion of prediabetes.
This 5-year cohort study included 16,648 Spanish working adults with prediabetes. Prediabetes was defined as fasting plasma glucose (FPG) between 100 and 125 mg/dl according to the ADA criteria, while prediabetes reversion was defined as a FPG <100 mg/dL. The population was classified as: FLI <30 (no hepatic steatosis), FLI 30-59 (intermediate status), and FLI ≥60 (hepatic steatosis).
At 5 years follow-up, 33.7% of subjects reverted to normoglycemia (annual rate of 6.7%). The adjusted binomial logistic regression model showed that scoring FLI <30 (OR 1.544; 95% CI 1.355-1.759), performing at least 150 min/week of physical activity (OR 4.600; 95% CI 4.088-5.177) and consuming fruits and vegetables daily (OR 1.682; 95% CI 1.526-1.855) were associated with the probability of reverting form prediabetes to normoglycemia. The ROC curve for prediction of reversion showed that FLI (AUC 0.774;95% CI 0.767-0.781) was a better predictor than FPG (AUC 0.656; 95% CI 0.648-0.664).
Regular physical activity, healthy dietary habits and absence of hepatic steatosis are independently associated with the probability of reversion to normoglycemia in adult workers with prediabetes at baseline. Low FLI values (especially FLI< 30) may be useful to predict the probability of prediabetes reversion, especially in active subjects with healthy eating habits, and thus identify those who might benefit from early lifestyle intervention.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33822783</pmid><doi>10.1371/journal.pone.0249221</doi><tpages>e0249221</tpages><orcidid>https://orcid.org/0000-0003-1668-2141</orcidid><oa>free_for_read</oa></addata></record> |
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| recordid | cdi_plos_journals_2509235818 |
| source | DOAJ Directory of Open Access Journals; Sociological Abstracts; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Biology and Life Sciences Body mass Body mass index Body size Body weight Care and treatment Colleges & universities Complications and side effects Data analysis Diabetes Diabetes mellitus Diagnosis Editing Epidemics Epidemiology Exercise Fatty liver Glucose Group dynamics Health research Health risks Health sciences Health services Indexes Insulin Insulin resistance Internet Islands Lifestyles Liver Liver diseases Medicine and Health Sciences Metabolic disorders Metabolic syndrome Nurses Nursing Nutritional aspects Physical Sciences Physical therapy Physiological aspects Population Prediabetic state Prevention Public health Resistance Reversion Reviews Risk Scholarship Scores Social classes Steatosis Triglycerides Type 2 diabetes γ-Glutamyltransferase |
| title | Utility of Fatty Liver Index to predict reversion to normoglycemia in people with prediabetes |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T14%3A01%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Utility%20of%20Fatty%20Liver%20Index%20to%20predict%20reversion%20to%20normoglycemia%20in%20people%20with%20prediabetes&rft.jtitle=PloS%20one&rft.au=Busquets-Cort%C3%A9s,%20Carla&rft.date=2021-04-06&rft.volume=16&rft.issue=4&rft.spage=e0249221&rft.epage=e0249221&rft.pages=e0249221-e0249221&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0249221&rft_dat=%3Cgale_plos_%3EA657568970%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2509235818&rft_id=info:pmid/33822783&rft_galeid=A657568970&rft_doaj_id=oai_doaj_org_article_8b8cb94adaa44de590df68247c6f88de&rfr_iscdi=true |