Relationship between four insulin resistance surrogates and regression to normoglycemia from prediabetes among Chinese adults: A longitudinal Cohort Study
Purpose We aimed to investigate the association of the triglyceride glucose-body mass index(TyG-BMI), metabolic score for insulin resistance (METS-IR) with regression to normoglycaemia, and further to compare the value of the four insulin resistance(IR) related indices(TyG-BMI, METS-IR, TyG and trig...
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| Veröffentlicht in: | Endocrine 2024-12, Vol.86 (3), p.980-993 |
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| creator | Yang, Lijun Feng, Yanjing Wang, Yu Liu, Chang Gao, Dengfeng |
| description | Purpose
We aimed to investigate the association of the triglyceride glucose-body mass index(TyG-BMI), metabolic score for insulin resistance (METS-IR) with regression to normoglycaemia, and further to compare the value of the four insulin resistance(IR) related indices(TyG-BMI, METS-IR, TyG and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio) in identifying regressions to normoglycaemia from prediabetes.
Methods
A total of 15,025 patients with prediabetes from the DATA-DRYAD database were included. Cox proportional hazards regression models and restricted cubic spline functions were performed to explore the association and nonlinearity between the indices with the incidence rate of normoglycaemia. Sensitivity and subgroup analyses evaluated the robustness of our findings.
Results
Compared with the first quintile, TyG-BMI and METS-IR was negatively linked with the probability of regression to normoglycaemia from prediabetes, the adjusted effect size of the highest quintiles of METS-IR were the most obvious (HR:0.456,95% CI:0.4–0.519), followed by TG/HDL (HR:0.792, 95% CI:0.733–0.856), TyG-BMI (HR:0.816, 95% CI:0.73–0.911) and TyG (HR:0.841, 95% CI: 0.754–0.937) (all
p
for trend |
| doi_str_mv | 10.1007/s12020-024-03947-5 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3076017693</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3076017693</sourcerecordid><originalsourceid>FETCH-LOGICAL-c256t-3c8184dd505b69846162c51d5306a945f7286389c7212f919291815f3bdc5eb93</originalsourceid><addsrcrecordid>eNp9kctu1DAYhS0Eou3AC7BAltiwCfgS2zG7agQFqVKlFtaRk_zJuErswb-jal6Fp8VlykUsuvLlfOf4cgh5xdk7zph5j1wwwSom6opJW5tKPSGnXClbsaI__Wd-Qs4QbxkTQmjznJzIxmrFpTklP65hdtnHgDu_px3kO4BAx7gm6gOusw80AXrMLvRAcU0pTi4DUheGokxFxOKmOdIQ0xKn-dDD4h0dU1zoPsHgXUm9NywxTHS78wEQqBvWOeMHek7nsu3zOvjgZrqNu5gyvSnrwwvybHQzwsuHcUO-ffr4dfu5ury6-LI9v6x6oXSuZN_wph4GxVSnbVNrrkWv-KAk087WajSi0eXBvRFcjJZbYXnD1Si7oVfQWbkhb4-5-xS_r4C5XTz2MM8uQFyxlcxoxo22sqBv_kNvy0-VixeKC8Nkw8q3bog4Un2KiAnGdp_84tKh5ay9b649NteW5tpfzbWqmF4_RK_dAsMfy--qCiCPABYpTJD-nv1I7E_S66XB</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3127038051</pqid></control><display><type>article</type><title>Relationship between four insulin resistance surrogates and regression to normoglycemia from prediabetes among Chinese adults: A longitudinal Cohort Study</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Yang, Lijun ; Feng, Yanjing ; Wang, Yu ; Liu, Chang ; Gao, Dengfeng</creator><creatorcontrib>Yang, Lijun ; Feng, Yanjing ; Wang, Yu ; Liu, Chang ; Gao, Dengfeng</creatorcontrib><description>Purpose
We aimed to investigate the association of the triglyceride glucose-body mass index(TyG-BMI), metabolic score for insulin resistance (METS-IR) with regression to normoglycaemia, and further to compare the value of the four insulin resistance(IR) related indices(TyG-BMI, METS-IR, TyG and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio) in identifying regressions to normoglycaemia from prediabetes.
Methods
A total of 15,025 patients with prediabetes from the DATA-DRYAD database were included. Cox proportional hazards regression models and restricted cubic spline functions were performed to explore the association and nonlinearity between the indices with the incidence rate of normoglycaemia. Sensitivity and subgroup analyses evaluated the robustness of our findings.
Results
Compared with the first quintile, TyG-BMI and METS-IR was negatively linked with the probability of regression to normoglycaemia from prediabetes, the adjusted effect size of the highest quintiles of METS-IR were the most obvious (HR:0.456,95% CI:0.4–0.519), followed by TG/HDL (HR:0.792, 95% CI:0.733–0.856), TyG-BMI (HR:0.816, 95% CI:0.73–0.911) and TyG (HR:0.841, 95% CI: 0.754–0.937) (all
p
for trend <0.001). A 1.0 SD increase in METS-IR induced a 43% decrease in the probability of regression to normoglycaemia, with 9.8% for TyG-BMI. There were nonlinear associations between TyG-BMI and METS-IR and outcomes, with the inflection point of the TyG-BMI being 218.2 and that of the METS-IR being 37.
Conclusions
The METS-IR might be the most superior indicator among the four non-insulin indices in identifying regressions to normoglycaemia from prediabetes in clinical application. The inflection points of the METS-IR and TyG-BMI may be instructive therapeutic points for assessing the status of prediabetes in advance and making more appropriate management and health care decisions.</description><identifier>ISSN: 1559-0100</identifier><identifier>ISSN: 1355-008X</identifier><identifier>EISSN: 1559-0100</identifier><identifier>DOI: 10.1007/s12020-024-03947-5</identifier><identifier>PMID: 38965137</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Aged ; Biomarkers - blood ; Blood Glucose - analysis ; Blood Glucose - metabolism ; Body Mass Index ; China - epidemiology ; Cholesterol ; Cholesterol, HDL - blood ; Cohort Studies ; Diabetes ; East Asian People ; Endocrinology ; Female ; High density lipoprotein ; Humanities and Social Sciences ; Humans ; Insulin resistance ; Insulin Resistance - physiology ; Internal Medicine ; Longitudinal Studies ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; multidisciplinary ; Nonlinear systems ; Original Article ; Prediabetic State - blood ; Prediabetic State - epidemiology ; Regression analysis ; Science ; Sensitivity analysis ; Triglycerides - blood</subject><ispartof>Endocrine, 2024-12, Vol.86 (3), p.980-993</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c256t-3c8184dd505b69846162c51d5306a945f7286389c7212f919291815f3bdc5eb93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12020-024-03947-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12020-024-03947-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38965137$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Lijun</creatorcontrib><creatorcontrib>Feng, Yanjing</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Liu, Chang</creatorcontrib><creatorcontrib>Gao, Dengfeng</creatorcontrib><title>Relationship between four insulin resistance surrogates and regression to normoglycemia from prediabetes among Chinese adults: A longitudinal Cohort Study</title><title>Endocrine</title><addtitle>Endocrine</addtitle><addtitle>Endocrine</addtitle><description>Purpose
We aimed to investigate the association of the triglyceride glucose-body mass index(TyG-BMI), metabolic score for insulin resistance (METS-IR) with regression to normoglycaemia, and further to compare the value of the four insulin resistance(IR) related indices(TyG-BMI, METS-IR, TyG and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio) in identifying regressions to normoglycaemia from prediabetes.
Methods
A total of 15,025 patients with prediabetes from the DATA-DRYAD database were included. Cox proportional hazards regression models and restricted cubic spline functions were performed to explore the association and nonlinearity between the indices with the incidence rate of normoglycaemia. Sensitivity and subgroup analyses evaluated the robustness of our findings.
Results
Compared with the first quintile, TyG-BMI and METS-IR was negatively linked with the probability of regression to normoglycaemia from prediabetes, the adjusted effect size of the highest quintiles of METS-IR were the most obvious (HR:0.456,95% CI:0.4–0.519), followed by TG/HDL (HR:0.792, 95% CI:0.733–0.856), TyG-BMI (HR:0.816, 95% CI:0.73–0.911) and TyG (HR:0.841, 95% CI: 0.754–0.937) (all
p
for trend <0.001). A 1.0 SD increase in METS-IR induced a 43% decrease in the probability of regression to normoglycaemia, with 9.8% for TyG-BMI. There were nonlinear associations between TyG-BMI and METS-IR and outcomes, with the inflection point of the TyG-BMI being 218.2 and that of the METS-IR being 37.
Conclusions
The METS-IR might be the most superior indicator among the four non-insulin indices in identifying regressions to normoglycaemia from prediabetes in clinical application. The inflection points of the METS-IR and TyG-BMI may be instructive therapeutic points for assessing the status of prediabetes in advance and making more appropriate management and health care decisions.</description><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - analysis</subject><subject>Blood Glucose - metabolism</subject><subject>Body Mass Index</subject><subject>China - epidemiology</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cohort Studies</subject><subject>Diabetes</subject><subject>East Asian People</subject><subject>Endocrinology</subject><subject>Female</subject><subject>High density lipoprotein</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Insulin resistance</subject><subject>Insulin Resistance - physiology</subject><subject>Internal Medicine</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Nonlinear systems</subject><subject>Original Article</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - epidemiology</subject><subject>Regression analysis</subject><subject>Science</subject><subject>Sensitivity analysis</subject><subject>Triglycerides - blood</subject><issn>1559-0100</issn><issn>1355-008X</issn><issn>1559-0100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctu1DAYhS0Eou3AC7BAltiwCfgS2zG7agQFqVKlFtaRk_zJuErswb-jal6Fp8VlykUsuvLlfOf4cgh5xdk7zph5j1wwwSom6opJW5tKPSGnXClbsaI__Wd-Qs4QbxkTQmjznJzIxmrFpTklP65hdtnHgDu_px3kO4BAx7gm6gOusw80AXrMLvRAcU0pTi4DUheGokxFxOKmOdIQ0xKn-dDD4h0dU1zoPsHgXUm9NywxTHS78wEQqBvWOeMHek7nsu3zOvjgZrqNu5gyvSnrwwvybHQzwsuHcUO-ffr4dfu5ury6-LI9v6x6oXSuZN_wph4GxVSnbVNrrkWv-KAk087WajSi0eXBvRFcjJZbYXnD1Si7oVfQWbkhb4-5-xS_r4C5XTz2MM8uQFyxlcxoxo22sqBv_kNvy0-VixeKC8Nkw8q3bog4Un2KiAnGdp_84tKh5ay9b649NteW5tpfzbWqmF4_RK_dAsMfy--qCiCPABYpTJD-nv1I7E_S66XB</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Yang, Lijun</creator><creator>Feng, Yanjing</creator><creator>Wang, Yu</creator><creator>Liu, Chang</creator><creator>Gao, Dengfeng</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20241201</creationdate><title>Relationship between four insulin resistance surrogates and regression to normoglycemia from prediabetes among Chinese adults: A longitudinal Cohort Study</title><author>Yang, Lijun ; Feng, Yanjing ; Wang, Yu ; Liu, Chang ; Gao, Dengfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-3c8184dd505b69846162c51d5306a945f7286389c7212f919291815f3bdc5eb93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biomarkers - blood</topic><topic>Blood Glucose - analysis</topic><topic>Blood Glucose - metabolism</topic><topic>Body Mass Index</topic><topic>China - epidemiology</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Cohort Studies</topic><topic>Diabetes</topic><topic>East Asian People</topic><topic>Endocrinology</topic><topic>Female</topic><topic>High density lipoprotein</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Insulin resistance</topic><topic>Insulin Resistance - physiology</topic><topic>Internal Medicine</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Nonlinear systems</topic><topic>Original Article</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - epidemiology</topic><topic>Regression analysis</topic><topic>Science</topic><topic>Sensitivity analysis</topic><topic>Triglycerides - blood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Lijun</creatorcontrib><creatorcontrib>Feng, Yanjing</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Liu, Chang</creatorcontrib><creatorcontrib>Gao, Dengfeng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Endocrine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Lijun</au><au>Feng, Yanjing</au><au>Wang, Yu</au><au>Liu, Chang</au><au>Gao, Dengfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between four insulin resistance surrogates and regression to normoglycemia from prediabetes among Chinese adults: A longitudinal Cohort Study</atitle><jtitle>Endocrine</jtitle><stitle>Endocrine</stitle><addtitle>Endocrine</addtitle><date>2024-12-01</date><risdate>2024</risdate><volume>86</volume><issue>3</issue><spage>980</spage><epage>993</epage><pages>980-993</pages><issn>1559-0100</issn><issn>1355-008X</issn><eissn>1559-0100</eissn><abstract>Purpose
We aimed to investigate the association of the triglyceride glucose-body mass index(TyG-BMI), metabolic score for insulin resistance (METS-IR) with regression to normoglycaemia, and further to compare the value of the four insulin resistance(IR) related indices(TyG-BMI, METS-IR, TyG and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio) in identifying regressions to normoglycaemia from prediabetes.
Methods
A total of 15,025 patients with prediabetes from the DATA-DRYAD database were included. Cox proportional hazards regression models and restricted cubic spline functions were performed to explore the association and nonlinearity between the indices with the incidence rate of normoglycaemia. Sensitivity and subgroup analyses evaluated the robustness of our findings.
Results
Compared with the first quintile, TyG-BMI and METS-IR was negatively linked with the probability of regression to normoglycaemia from prediabetes, the adjusted effect size of the highest quintiles of METS-IR were the most obvious (HR:0.456,95% CI:0.4–0.519), followed by TG/HDL (HR:0.792, 95% CI:0.733–0.856), TyG-BMI (HR:0.816, 95% CI:0.73–0.911) and TyG (HR:0.841, 95% CI: 0.754–0.937) (all
p
for trend <0.001). A 1.0 SD increase in METS-IR induced a 43% decrease in the probability of regression to normoglycaemia, with 9.8% for TyG-BMI. There were nonlinear associations between TyG-BMI and METS-IR and outcomes, with the inflection point of the TyG-BMI being 218.2 and that of the METS-IR being 37.
Conclusions
The METS-IR might be the most superior indicator among the four non-insulin indices in identifying regressions to normoglycaemia from prediabetes in clinical application. The inflection points of the METS-IR and TyG-BMI may be instructive therapeutic points for assessing the status of prediabetes in advance and making more appropriate management and health care decisions.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>38965137</pmid><doi>10.1007/s12020-024-03947-5</doi><tpages>14</tpages></addata></record> |
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| subjects | Adult Aged Biomarkers - blood Blood Glucose - analysis Blood Glucose - metabolism Body Mass Index China - epidemiology Cholesterol Cholesterol, HDL - blood Cohort Studies Diabetes East Asian People Endocrinology Female High density lipoprotein Humanities and Social Sciences Humans Insulin resistance Insulin Resistance - physiology Internal Medicine Longitudinal Studies Male Medicine Medicine & Public Health Middle Aged multidisciplinary Nonlinear systems Original Article Prediabetic State - blood Prediabetic State - epidemiology Regression analysis Science Sensitivity analysis Triglycerides - blood |
| title | Relationship between four insulin resistance surrogates and regression to normoglycemia from prediabetes among Chinese adults: A longitudinal Cohort Study |
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