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Article: Optimal Cut-Offs of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to Identify Dysglycemia and Type 2 Diabetes Mellitus: A 15-Year Prospective Study in Chinese
Title | Optimal Cut-Offs of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to Identify Dysglycemia and Type 2 Diabetes Mellitus: A 15-Year Prospective Study in Chinese |
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Authors | |
Issue Date | 2016 |
Publisher | Public Library of Science. The Journal's web site is located at http://www.plosone.org/home.action |
Citation | PLoS One, 2016, v. 11 n. 9, p. e0163424:1-11 How to Cite? |
Abstract | BACKGROUND: The optimal reference range of homeostasis model assessment of insulin resistance (HOMA-IR) in normal Chinese population has not been clearly defined. Here we address this issue using the Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS), a prospective population-based cohort study with long-term follow-up. MATERIAL & METHODS: In this study, normal glucose tolerance (NGT), impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM) were defined according to the 1998 World Health Organization criteria. Dysglycemia referred to IFG, IGT or T2DM. This study comprised two parts. Part one was a cross-sectional study involving 2,649 Hong Kong Chinese subjects, aged 25-74 years, at baseline CRISPS-1 (1995-1996). The optimal HOMA-IR cut-offs for dysglycemia and T2DM were determined by the receiver-operating characteristic (ROC) curve. Part two was a prospective study involving 872 subjects who had persistent NGT at CRISPS-4 (2010-2012) after 15 years of follow-up. RESULTS: At baseline, the optimal HOMA-IR cut-offs to identify dysglyceia and T2DM were 1.37 (AUC = 0.735; 95% confidence interval [CI] = 0.713-0.758; Sensitivity [Se] = 65.6%, Specificity [Sp] = 71.3%] and 1.97 (AUC = 0.807; 95% CI = 0.777-0.886; Se = 65.5%, Sp = 82.9%) respectively. These cut-offs, derived from the cross-sectional study at baseline, corresponded closely to the 75th (1.44) and 90th (2.03) percentiles, respectively, of the HOMA-IR reference range derived from the prospective study of subjects with persistent NGT. CONCLUSIONS: HOMA-IR cut-offs, of 1.4 and 2.0, which discriminated dysglycemia and T2DM respectively from NGT in Southern Chinese, can be usefully employed as references in clinical research involving the assessment of insulin resistance. |
Persistent Identifier | http://hdl.handle.net/10722/240929 |
ISSN | 2023 Impact Factor: 2.9 2023 SCImago Journal Rankings: 0.839 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lee, CHP | - |
dc.contributor.author | Shih, AZL | - |
dc.contributor.author | Woo, YC | - |
dc.contributor.author | Fong, HY | - |
dc.contributor.author | Leung, OY | - |
dc.contributor.author | Janus, ED | - |
dc.contributor.author | Cheung, BMY | - |
dc.contributor.author | Lam, KSL | - |
dc.date.accessioned | 2017-05-22T09:19:38Z | - |
dc.date.available | 2017-05-22T09:19:38Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | PLoS One, 2016, v. 11 n. 9, p. e0163424:1-11 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | http://hdl.handle.net/10722/240929 | - |
dc.description.abstract | BACKGROUND: The optimal reference range of homeostasis model assessment of insulin resistance (HOMA-IR) in normal Chinese population has not been clearly defined. Here we address this issue using the Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS), a prospective population-based cohort study with long-term follow-up. MATERIAL & METHODS: In this study, normal glucose tolerance (NGT), impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM) were defined according to the 1998 World Health Organization criteria. Dysglycemia referred to IFG, IGT or T2DM. This study comprised two parts. Part one was a cross-sectional study involving 2,649 Hong Kong Chinese subjects, aged 25-74 years, at baseline CRISPS-1 (1995-1996). The optimal HOMA-IR cut-offs for dysglycemia and T2DM were determined by the receiver-operating characteristic (ROC) curve. Part two was a prospective study involving 872 subjects who had persistent NGT at CRISPS-4 (2010-2012) after 15 years of follow-up. RESULTS: At baseline, the optimal HOMA-IR cut-offs to identify dysglyceia and T2DM were 1.37 (AUC = 0.735; 95% confidence interval [CI] = 0.713-0.758; Sensitivity [Se] = 65.6%, Specificity [Sp] = 71.3%] and 1.97 (AUC = 0.807; 95% CI = 0.777-0.886; Se = 65.5%, Sp = 82.9%) respectively. These cut-offs, derived from the cross-sectional study at baseline, corresponded closely to the 75th (1.44) and 90th (2.03) percentiles, respectively, of the HOMA-IR reference range derived from the prospective study of subjects with persistent NGT. CONCLUSIONS: HOMA-IR cut-offs, of 1.4 and 2.0, which discriminated dysglycemia and T2DM respectively from NGT in Southern Chinese, can be usefully employed as references in clinical research involving the assessment of insulin resistance. | - |
dc.language | eng | - |
dc.publisher | Public Library of Science. The Journal's web site is located at http://www.plosone.org/home.action | - |
dc.relation.ispartof | PLoS ONE | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Optimal Cut-Offs of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to Identify Dysglycemia and Type 2 Diabetes Mellitus: A 15-Year Prospective Study in Chinese | - |
dc.type | Article | - |
dc.identifier.email | Lee, CHP: pchlee@hku.hk | - |
dc.identifier.email | Shih, AZL: ashih@hku.hk | - |
dc.identifier.email | Woo, YC: wooyucho@hku.hk | - |
dc.identifier.email | Fong, HY: kalofong@hku.hk | - |
dc.identifier.email | Leung, OY: yiu222@hku.hk | - |
dc.identifier.email | Cheung, BMY: mycheung@hku.hk | - |
dc.identifier.email | Lam, KSL: ksllam@hku.hk | - |
dc.identifier.authority | Lee, CHP=rp02043 | - |
dc.identifier.authority | Cheung, BMY=rp01321 | - |
dc.identifier.authority | Lam, KSL=rp00343 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1371/journal.pone.0163424 | - |
dc.identifier.scopus | eid_2-s2.0-84992197914 | - |
dc.identifier.hkuros | 272171 | - |
dc.identifier.volume | 11 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | e0163424:1 | - |
dc.identifier.epage | 11 | - |
dc.identifier.isi | WOS:000383893200119 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1932-6203 | - |