Assessing the Utility of the Metabolic Score for Insulin Resistance (METS-IR) in Evaluating Metabolic Risk Among Individuals Undergoing Master Health Checkups in a Tertiary Care Hospital in South India: A Retrospective Cohort Study
Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community....
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Published in | Curēus (Palo Alto, CA) Vol. 16; no. 9; p. e70289 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Cureus
26.09.2024
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Abstract | Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community. Methods We conducted a retrospective cohort study to explore the utility of this score in identifying metabolic risk in those individuals attending a master health checkup in a tertiary care setting. Data were collected from 254 individuals between October and December 2023. Results According to the univariate regression analysis, METS-IR had a strong correlation in predicting cardiovascular health risks, as evidenced by its positive linear association with an increase in age (β=0.186,
=0.003), weight (β=0.534,
<0.001), waist circumference (β=0.405,
<0.001), and body mass index (BMI; β=0.635,
<0.001). This explained the value of this score in depicting adiposity and insulin resistance. Lab parameters that showed a significant association were fasting blood sugar (β=0.176,
=0.005) and fasting triglycerides (β=0.175,
=0.005). According to the multivariate regression analysis, METS-IR had a significant positive association with fasting blood sugar (
=0.489,
<0.001) and fasting triglycerides (
=0.022,
=0.003), implicating its importance in cardiovascular health. High-density lipoprotein cholesterol (HDL-c;
=-0.168,
=0.005) confirmed its protective role with its negative association in higher quartile groups. An increase in serum albumin levels (
=-0.168,
=0.005) and raised gamma-glutamyl transpeptidase (GGT) (
=0.059,
=0.022) portrays its due diligence in liver health. METS-IR had a weak association with the estimated glomerular filtration rate (eGFR) with Pearson's correlation coefficient of 0.020 (
=0.756) and Spearman's rho of 0.021 (
=0.739). However, raised serum creatinine had a significant association in higher quartile groups, with a
value of 0.018. Conclusions METS-IR is useful as a screening tool for predicting cardiovascular disease. However, the complex interplay of other confounding factors in identifying renal dysfunction has yet to be explored when considering this score in our study population. |
---|---|
AbstractList | Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community. Methods We conducted a retrospective cohort study to explore the utility of this score in identifying metabolic risk in those individuals attending a master health checkup in a tertiary care setting. Data were collected from 254 individuals between October and December 2023. Results According to the univariate regression analysis, METS-IR had a strong correlation in predicting cardiovascular health risks, as evidenced by its positive linear association with an increase in age (β=0.186,
=0.003), weight (β=0.534,
<0.001), waist circumference (β=0.405,
<0.001), and body mass index (BMI; β=0.635,
<0.001). This explained the value of this score in depicting adiposity and insulin resistance. Lab parameters that showed a significant association were fasting blood sugar (β=0.176,
=0.005) and fasting triglycerides (β=0.175,
=0.005). According to the multivariate regression analysis, METS-IR had a significant positive association with fasting blood sugar (
=0.489,
<0.001) and fasting triglycerides (
=0.022,
=0.003), implicating its importance in cardiovascular health. High-density lipoprotein cholesterol (HDL-c;
=-0.168,
=0.005) confirmed its protective role with its negative association in higher quartile groups. An increase in serum albumin levels (
=-0.168,
=0.005) and raised gamma-glutamyl transpeptidase (GGT) (
=0.059,
=0.022) portrays its due diligence in liver health. METS-IR had a weak association with the estimated glomerular filtration rate (eGFR) with Pearson's correlation coefficient of 0.020 (
=0.756) and Spearman's rho of 0.021 (
=0.739). However, raised serum creatinine had a significant association in higher quartile groups, with a
value of 0.018. Conclusions METS-IR is useful as a screening tool for predicting cardiovascular disease. However, the complex interplay of other confounding factors in identifying renal dysfunction has yet to be explored when considering this score in our study population. Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community. Methods We conducted a retrospective cohort study to explore the utility of this score in identifying metabolic risk in those individuals attending a master health checkup in a tertiary care setting. Data were collected from 254 individuals between October and December 2023. Results According to the univariate regression analysis, METS-IR had a strong correlation in predicting cardiovascular health risks, as evidenced by its positive linear association with an increase in age (β=0.186, p=0.003), weight (β=0.534, p<0.001), waist circumference (β=0.405, p<0.001), and body mass index (BMI; β=0.635, p<0.001). This explained the value of this score in depicting adiposity and insulin resistance. Lab parameters that showed a significant association were fasting blood sugar (β=0.176, p=0.005) and fasting triglycerides (β=0.175, p=0.005). According to the multivariate regression analysis, METS-IR had a significant positive association with fasting blood sugar (B=0.489, p<0.001) and fasting triglycerides (B=0.022, p=0.003), implicating its importance in cardiovascular health. High-density lipoprotein cholesterol (HDL-c; B=-0.168, p=0.005) confirmed its protective role with its negative association in higher quartile groups. An increase in serum albumin levels (B=-0.168, p=0.005) and raised gamma-glutamyl transpeptidase (GGT) (B=0.059, p=0.022) portrays its due diligence in liver health. METS-IR had a weak association with the estimated glomerular filtration rate (eGFR) with Pearson's correlation coefficient of 0.020 (p=0.756) and Spearman's rho of 0.021 (p=0.739). However, raised serum creatinine had a significant association in higher quartile groups, with a p-value of 0.018. Conclusions METS-IR is useful as a screening tool for predicting cardiovascular disease. However, the complex interplay of other confounding factors in identifying renal dysfunction has yet to be explored when considering this score in our study population.Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community. Methods We conducted a retrospective cohort study to explore the utility of this score in identifying metabolic risk in those individuals attending a master health checkup in a tertiary care setting. Data were collected from 254 individuals between October and December 2023. Results According to the univariate regression analysis, METS-IR had a strong correlation in predicting cardiovascular health risks, as evidenced by its positive linear association with an increase in age (β=0.186, p=0.003), weight (β=0.534, p<0.001), waist circumference (β=0.405, p<0.001), and body mass index (BMI; β=0.635, p<0.001). This explained the value of this score in depicting adiposity and insulin resistance. Lab parameters that showed a significant association were fasting blood sugar (β=0.176, p=0.005) and fasting triglycerides (β=0.175, p=0.005). According to the multivariate regression analysis, METS-IR had a significant positive association with fasting blood sugar (B=0.489, p<0.001) and fasting triglycerides (B=0.022, p=0.003), implicating its importance in cardiovascular health. High-density lipoprotein cholesterol (HDL-c; B=-0.168, p=0.005) confirmed its protective role with its negative association in higher quartile groups. An increase in serum albumin levels (B=-0.168, p=0.005) and raised gamma-glutamyl transpeptidase (GGT) (B=0.059, p=0.022) portrays its due diligence in liver health. METS-IR had a weak association with the estimated glomerular filtration rate (eGFR) with Pearson's correlation coefficient of 0.020 (p=0.756) and Spearman's rho of 0.021 (p=0.739). However, raised serum creatinine had a significant association in higher quartile groups, with a p-value of 0.018. Conclusions METS-IR is useful as a screening tool for predicting cardiovascular disease. However, the complex interplay of other confounding factors in identifying renal dysfunction has yet to be explored when considering this score in our study population. Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community. Methods We conducted a retrospective cohort study to explore the utility of this score in identifying metabolic risk in those individuals attending a master health checkup in a tertiary care setting. Data were collected from 254 individuals between October and December 2023. Results According to the univariate regression analysis, METS-IR had a strong correlation in predicting cardiovascular health risks, as evidenced by its positive linear association with an increase in age (β=0.186, p =0.003), weight (β=0.534, p <0.001), waist circumference (β=0.405, p <0.001), and body mass index (BMI; β=0.635, p <0.001). This explained the value of this score in depicting adiposity and insulin resistance. Lab parameters that showed a significant association were fasting blood sugar (β=0.176, p =0.005) and fasting triglycerides (β=0.175, p =0.005). According to the multivariate regression analysis, METS-IR had a significant positive association with fasting blood sugar ( B =0.489, p <0.001) and fasting triglycerides ( B =0.022, p =0.003), implicating its importance in cardiovascular health. High-density lipoprotein cholesterol (HDL-c; B =-0.168, p =0.005) confirmed its protective role with its negative association in higher quartile groups. An increase in serum albumin levels ( B =-0.168, p =0.005) and raised gamma-glutamyl transpeptidase (GGT) ( B =0.059, p =0.022) portrays its due diligence in liver health. METS-IR had a weak association with the estimated glomerular filtration rate (eGFR) with Pearson's correlation coefficient of 0.020 ( p =0.756) and Spearman's rho of 0.021 ( p =0.739). However, raised serum creatinine had a significant association in higher quartile groups, with a p- value of 0.018. Conclusions METS-IR is useful as a screening tool for predicting cardiovascular disease. However, the complex interplay of other confounding factors in identifying renal dysfunction has yet to be explored when considering this score in our study population. |
Author | Chandrasekaran, Nirmala Devi Srivatsa, Niveda Tazeem, Mohammed Suhail |
AuthorAffiliation | 1 General Medicine, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Centre, SRM Institute of Science and Technology (SRMIST), Chengalpattu, IND 2 Geriatrics, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Centre, SRM Institute of Science and Technology (SRMIST), Chengalpattu, IND |
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Author_xml | – sequence: 1 givenname: Mohammed Suhail surname: Tazeem fullname: Tazeem, Mohammed Suhail organization: General Medicine, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Centre, SRM Institute of Science and Technology (SRMIST), Chengalpattu, IND – sequence: 2 givenname: Nirmala Devi surname: Chandrasekaran fullname: Chandrasekaran, Nirmala Devi organization: General Medicine, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Centre, SRM Institute of Science and Technology (SRMIST), Chengalpattu, IND – sequence: 3 givenname: Niveda surname: Srivatsa fullname: Srivatsa, Niveda organization: Geriatrics, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Centre, SRM Institute of Science and Technology (SRMIST), Chengalpattu, IND |
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Cites_doi | 10.1089/heq.2023.0038 10.1093/NDT/GFAE069.621 10.3389/fendo.2022.851338 10.1016/j.clinbiochem.2023.110686 10.3109/0886022X.2015.1136873 10.1053/gast.2002.35354 10.3389/fendo.2023.1224967 10.2196/49617 10.1080/00325481.2019.1595983 10.1152/ajpendo.1979.237.3.E214 10.2337/dc06-1982 10.1056/NEJM199109263251307 10.1681/ASN.2004100842 10.1373/clinchem.2006.077784 10.5527/wjn.v3.i4.210 10.1016/j.diabres.2012.12.006 10.1172/JCI29024 10.1007/s40292-022-00542-5 10.1530/EJE-17-0883 10.1016/j.clnu.2021.06.017 10.1093/ndt/gfr498 10.2174/1570161114666161007164510 10.2522/ptj.20080018 10.1590/s0066-782x2011005000089 10.1186/s13098-023-01214-7 10.1186/1471-2288-11-158 10.1136/bmjopen-2021-050907 10.1016/j.clnu.2014.04.002 |
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Keywords | master health checkup metabolic score for insulin resistance (mets-ir) insulin resistance metabolic syndrome and endocrinology south indian |
Language | English |
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Snippet | Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based,... Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based,... |
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SubjectTerms | Endocrinology/Diabetes/Metabolism Epidemiology/Public Health Internal Medicine |
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Title | Assessing the Utility of the Metabolic Score for Insulin Resistance (METS-IR) in Evaluating Metabolic Risk Among Individuals Undergoing Master Health Checkups in a Tertiary Care Hospital in South India: A Retrospective Cohort Study |
URI | https://www.ncbi.nlm.nih.gov/pubmed/39469359 https://www.proquest.com/docview/3121593041 https://pubmed.ncbi.nlm.nih.gov/PMC11513226 |
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