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Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness
OBJECTIVE: To evaluate the current use of Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK) as a screening tool to identify individuals at high risk of developing type 2 diabetes for entry into lifestyle modification programs. RESEARCH DESIGN AND METHODS: AUSDRISK scores were calculated fro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600182/ https://www.ncbi.nlm.nih.gov/pubmed/26468399 http://dx.doi.org/10.1136/bmjdrc-2015-000125 |
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author | Malo, Jonathan A Versace, Vincent L Janus, Edward D Laatikainen, Tiina Peltonen, Markku Vartiainen, Erkki Coates, Michael J Dunbar, James A |
author_facet | Malo, Jonathan A Versace, Vincent L Janus, Edward D Laatikainen, Tiina Peltonen, Markku Vartiainen, Erkki Coates, Michael J Dunbar, James A |
author_sort | Malo, Jonathan A |
collection | PubMed |
description | OBJECTIVE: To evaluate the current use of Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK) as a screening tool to identify individuals at high risk of developing type 2 diabetes for entry into lifestyle modification programs. RESEARCH DESIGN AND METHODS: AUSDRISK scores were calculated from participants aged 40–74 years in the Greater Green Triangle Risk Factor Study, a cross-sectional population survey in 3 regions of Southwest Victoria, Australia, 2004–2006. Biomedical profiles of AUSDRISK risk categories were determined along with estimates of the Victorian population included at various cut-off scores. Sensitivity, specificity, positive predictive value (PPV), negative predictive value, and receiver operating characteristics were calculated for AUSDRISK in determining fasting plasma glucose (FPG) ≥6.1 mmol/L. RESULTS: Increasing AUSDRISK scores were associated with an increase in weight, body mass index, FPG, and metabolic syndrome. Increasing the minimum cut-off score also increased the proportion of individuals who were obese and centrally obese, had impaired fasting glucose (IFG) and metabolic syndrome. An AUSDRISK score of ≥12 was estimated to include 39.5% of the Victorian population aged 40–74 (916 000), while a score of ≥20 would include only 5.2% of the same population (120 000). At AUSDRISK≥20, the PPV for detecting FPG≥6.1 mmol/L was 28.4%. CONCLUSIONS: AUSDRISK is powered to predict those with IFG and undiagnosed type 2 diabetes, but its effectiveness as the sole determinant for entry into a lifestyle modification program is questionable given the large proportion of the population screened-in using the current minimum cut-off of ≥12. AUSDRISK should be used in conjunction with oral glucose tolerance testing, fasting glucose, or glycated hemoglobin to identify those individuals at highest risk of progression to type 2 diabetes, who should be the primary targets for lifestyle modification. |
format | Online Article Text |
id | pubmed-4600182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46001822015-10-14 Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness Malo, Jonathan A Versace, Vincent L Janus, Edward D Laatikainen, Tiina Peltonen, Markku Vartiainen, Erkki Coates, Michael J Dunbar, James A BMJ Open Diabetes Res Care Epidemiology/Health Services Research OBJECTIVE: To evaluate the current use of Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK) as a screening tool to identify individuals at high risk of developing type 2 diabetes for entry into lifestyle modification programs. RESEARCH DESIGN AND METHODS: AUSDRISK scores were calculated from participants aged 40–74 years in the Greater Green Triangle Risk Factor Study, a cross-sectional population survey in 3 regions of Southwest Victoria, Australia, 2004–2006. Biomedical profiles of AUSDRISK risk categories were determined along with estimates of the Victorian population included at various cut-off scores. Sensitivity, specificity, positive predictive value (PPV), negative predictive value, and receiver operating characteristics were calculated for AUSDRISK in determining fasting plasma glucose (FPG) ≥6.1 mmol/L. RESULTS: Increasing AUSDRISK scores were associated with an increase in weight, body mass index, FPG, and metabolic syndrome. Increasing the minimum cut-off score also increased the proportion of individuals who were obese and centrally obese, had impaired fasting glucose (IFG) and metabolic syndrome. An AUSDRISK score of ≥12 was estimated to include 39.5% of the Victorian population aged 40–74 (916 000), while a score of ≥20 would include only 5.2% of the same population (120 000). At AUSDRISK≥20, the PPV for detecting FPG≥6.1 mmol/L was 28.4%. CONCLUSIONS: AUSDRISK is powered to predict those with IFG and undiagnosed type 2 diabetes, but its effectiveness as the sole determinant for entry into a lifestyle modification program is questionable given the large proportion of the population screened-in using the current minimum cut-off of ≥12. AUSDRISK should be used in conjunction with oral glucose tolerance testing, fasting glucose, or glycated hemoglobin to identify those individuals at highest risk of progression to type 2 diabetes, who should be the primary targets for lifestyle modification. BMJ Publishing Group 2015-10-05 /pmc/articles/PMC4600182/ /pubmed/26468399 http://dx.doi.org/10.1136/bmjdrc-2015-000125 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Epidemiology/Health Services Research Malo, Jonathan A Versace, Vincent L Janus, Edward D Laatikainen, Tiina Peltonen, Markku Vartiainen, Erkki Coates, Michael J Dunbar, James A Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness |
title | Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness |
title_full | Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness |
title_fullStr | Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness |
title_full_unstemmed | Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness |
title_short | Evaluation of AUSDRISK as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness |
title_sort | evaluation of ausdrisk as a screening tool for lifestyle modification programs: international implications for policy and cost-effectiveness |
topic | Epidemiology/Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600182/ https://www.ncbi.nlm.nih.gov/pubmed/26468399 http://dx.doi.org/10.1136/bmjdrc-2015-000125 |
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