Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the U.S. population
This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish...
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Published in | Scientific reports Vol. 11; no. 1; pp. 2366 - 9 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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London
Nature Publishing Group UK
27.01.2021
Nature Publishing Group Nature Portfolio |
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Online Access | Get full text |
ISSN | 2045-2322 2045-2322 |
DOI | 10.1038/s41598-021-82053-2 |
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Abstract | This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999–2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings. |
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AbstractList | This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999–2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings. This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999-2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings.This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999-2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings. Abstract This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999–2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings. |
ArticleNumber | 2366 |
Author | Kim, Jae Guk Kim, Bongyoung Ahn, Chiwon Kim, Jihoon Shin, Hyungoo Kim, Wonhee Choi, Hyun Young Lee, Juncheol Kang, Jun Goo Moon, Shinje |
Author_xml | – sequence: 1 givenname: Juncheol surname: Lee fullname: Lee, Juncheol organization: Department of Emergency Medicine, Armed Forces Capital Hospital – sequence: 2 givenname: Bongyoung surname: Kim fullname: Kim, Bongyoung organization: Department of Internal Medicine, Hanyang University College of Medicine – sequence: 3 givenname: Wonhee surname: Kim fullname: Kim, Wonhee organization: Department of Emergency Medicine, Hallym University – sequence: 4 givenname: Chiwon surname: Ahn fullname: Ahn, Chiwon organization: Department of Emergency Medicine, College of Medicine, Chung-Ang University – sequence: 5 givenname: Hyun Young surname: Choi fullname: Choi, Hyun Young organization: Department of Emergency Medicine, Hallym University – sequence: 6 givenname: Jae Guk surname: Kim fullname: Kim, Jae Guk organization: Department of Emergency Medicine, Hallym University – sequence: 7 givenname: Jihoon surname: Kim fullname: Kim, Jihoon organization: Department of Thoracic and Cardiovascular Surgery, Hallym University College of Medicine – sequence: 8 givenname: Hyungoo surname: Shin fullname: Shin, Hyungoo organization: Department of Emergency Medicine, College of Medicine, Hanyang University Guri Hospital – sequence: 9 givenname: Jun Goo surname: Kang fullname: Kang, Jun Goo email: kjg0804@empas.com organization: Department of Internal Medicine, Hallym University, Division of Endocrinology and Metabolism, Hallym University College of Medicine – sequence: 10 givenname: Shinje surname: Moon fullname: Moon, Shinje email: sinjei1129@gmail.com organization: Department of Internal Medicine, Hallym University, Division of Endocrinology and Metabolism, Hallym University College of Medicine |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33504930$$D View this record in MEDLINE/PubMed |
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Snippet | This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides... Abstract This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP),... |
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SubjectTerms | 692/163 692/163/2743 692/308/174 Adipose tissue Adult Biomarkers - blood Blood Glucose - metabolism Body mass index Endocrine System Diseases - epidemiology Female Homeostasis Humanities and Social Sciences Humans Insulin Insulin Resistance Laboratory tests Lipids Lipids - blood Male Metabolic Diseases - epidemiology Middle Aged multidisciplinary Population studies Population Surveillance Risk assessment ROC Curve Science Science (multidisciplinary) Triglycerides United States - epidemiology Young Adult |
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Title | Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the U.S. population |
URI | https://link.springer.com/article/10.1038/s41598-021-82053-2 https://www.ncbi.nlm.nih.gov/pubmed/33504930 https://www.proquest.com/docview/2480998794 https://www.proquest.com/docview/2482657893 https://pubmed.ncbi.nlm.nih.gov/PMC7840900 https://doaj.org/article/e93c1e25fd2a4e9bbd371bb541cf9e0d |
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