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Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India

We aimed to evaluate the predictive accuracy of InsuTAG index against M value of the hyperinsulinaemic-Euglycaemic clamp (HEC) procedure and fasting surrogate indices of insulin sensitivity/resistance in young, normoglycaemic, Asian Indian males. HEC studies were done in young (mean age 19.7 ± 1 yea...

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Autores principales: Jebasingh, Felix K., Anoop, Shajith, Dasgupta, Riddhi, Kurian, Mathews Edatharayil, Joseph, Aneez, Rebekah, Grace, Mohan, Venkataraghava, Thomas, Nihal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636180/
https://www.ncbi.nlm.nih.gov/pubmed/37945732
http://dx.doi.org/10.1038/s41598-023-45880-z
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author Jebasingh, Felix K.
Anoop, Shajith
Dasgupta, Riddhi
Kurian, Mathews Edatharayil
Joseph, Aneez
Rebekah, Grace
Mohan, Venkataraghava
Thomas, Nihal
author_facet Jebasingh, Felix K.
Anoop, Shajith
Dasgupta, Riddhi
Kurian, Mathews Edatharayil
Joseph, Aneez
Rebekah, Grace
Mohan, Venkataraghava
Thomas, Nihal
author_sort Jebasingh, Felix K.
collection PubMed
description We aimed to evaluate the predictive accuracy of InsuTAG index against M value of the hyperinsulinaemic-Euglycaemic clamp (HEC) procedure and fasting surrogate indices of insulin sensitivity/resistance in young, normoglycaemic, Asian Indian males. HEC studies were done in young (mean age 19.7 ± 1 years), non-obese (mean BMI 19.2 ± 2.6 kg/m(2)), normoglycemic Asian Indian males (n = 110) and the M value was calculated. Surrogate indices namely InsuTAG index, HOMA-IR, FG-IR, QUICKI and McAuley index were calculated. Pearson’s correlation and ROC-AUC at 95% CI were applied. Significant negative correlation was observed for InsuTAG index with the M value (r − 0.23, p = 0.01), McAuley index (r − 0.65, p < 0.01), QUICKI (r − 0.34, p < 0.01) and FGIR (r − 0.35, p < 0.01). Significant positive correlations of InsuTAG index were observed for BMI and waist circumference. The ROC-AUC was higher for InsuTAG index (0.75) than FGIR (0.30), QUICKI (0.31), and McAuley index (0.20). The InsuTAG cut-off value ≥ 19.13 showed 66.7% sensitivity and 69.2% specificity in this study group.
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spelling pubmed-106361802023-11-11 Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India Jebasingh, Felix K. Anoop, Shajith Dasgupta, Riddhi Kurian, Mathews Edatharayil Joseph, Aneez Rebekah, Grace Mohan, Venkataraghava Thomas, Nihal Sci Rep Article We aimed to evaluate the predictive accuracy of InsuTAG index against M value of the hyperinsulinaemic-Euglycaemic clamp (HEC) procedure and fasting surrogate indices of insulin sensitivity/resistance in young, normoglycaemic, Asian Indian males. HEC studies were done in young (mean age 19.7 ± 1 years), non-obese (mean BMI 19.2 ± 2.6 kg/m(2)), normoglycemic Asian Indian males (n = 110) and the M value was calculated. Surrogate indices namely InsuTAG index, HOMA-IR, FG-IR, QUICKI and McAuley index were calculated. Pearson’s correlation and ROC-AUC at 95% CI were applied. Significant negative correlation was observed for InsuTAG index with the M value (r − 0.23, p = 0.01), McAuley index (r − 0.65, p < 0.01), QUICKI (r − 0.34, p < 0.01) and FGIR (r − 0.35, p < 0.01). Significant positive correlations of InsuTAG index were observed for BMI and waist circumference. The ROC-AUC was higher for InsuTAG index (0.75) than FGIR (0.30), QUICKI (0.31), and McAuley index (0.20). The InsuTAG cut-off value ≥ 19.13 showed 66.7% sensitivity and 69.2% specificity in this study group. Nature Publishing Group UK 2023-11-09 /pmc/articles/PMC10636180/ /pubmed/37945732 http://dx.doi.org/10.1038/s41598-023-45880-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jebasingh, Felix K.
Anoop, Shajith
Dasgupta, Riddhi
Kurian, Mathews Edatharayil
Joseph, Aneez
Rebekah, Grace
Mohan, Venkataraghava
Thomas, Nihal
Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India
title Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India
title_full Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India
title_fullStr Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India
title_full_unstemmed Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India
title_short Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India
title_sort understanding the predictive accuracy of the insutag index over other surrogate indices in normoglycaemic, non-obese males from southern india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636180/
https://www.ncbi.nlm.nih.gov/pubmed/37945732
http://dx.doi.org/10.1038/s41598-023-45880-z
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