Determining a Diagnostic Algorithm for Hyperinsulinaemia
aut.relation.issue | 1 | en_NZ |
aut.relation.journal | Journal of Insulin Resistance | en_NZ |
aut.relation.volume | 4 | en_NZ |
aut.researcher | Crofts, Catherine | |
dc.contributor.author | Crofts, CAP | en_NZ |
dc.contributor.author | Schofield, G | en_NZ |
dc.contributor.author | Wheldon, MC | en_NZ |
dc.contributor.author | Zinn, C | en_NZ |
dc.contributor.author | Kraft, JR | en_NZ |
dc.date.accessioned | 2019-08-01T00:23:07Z | |
dc.date.available | 2019-08-01T00:23:07Z | |
dc.description.abstract | Background: Ascertaining Kraft dynamic insulin response patterns following a 3-h 100 g oral glucose tolerance test seems to be the most reliable method for diagnosing hyperinsulinaemia. However, this test may be too resource-intensive for standard clinical use. Aim: This study aims to see if Kraft patterns can be accurately predicted using fewer blood samples with sensitivity and specificity analyses. Setting: St Joseph Hospital, Chicago, Illinois, United States and Human Potential Centre, Auckland University of technology, Auckland, New Zealand. Method: We analysed the results of 4185 men and women with a normal glucose tolerance, who had a 100 g oral glucose tolerance test with Kraft pattern analysis. Participants were dichotomised into normal–low insulin tolerance (Kraft I or V patterns) or hyperinsulinaemia (Kraft IIA–IV patterns). Sensitivity and specificity analysis was applied to available variables (including age, body mass index, fasting insulin or glucose) both individually and in combination. Results: Out of a maximal combined sensitivity and specificity score of 2.0, 2-h insulin level > 45 µU/mL attained the highest score (1.80). Two-hour insulin also attained the highest sensitivity (> 30 µU/mL, 0.98) and the highest specificity (> 50 µU/mL, 0.99) scores. Combining the 2-h insulin with other variables reduced the sensitivity and/or specificity. Dynamic measures had a better combined sensitivity and specificity compared to fasting or anthropological measures. Conclusion: People with a 2-h plasma insulin level < 30 µU/mL are unlikely to be hyperinsulinaemic. Given that first-line treatment is lifestyle modification, we recommend that a 2-h plasma insulin level > 30 µU/mL following a 100 g oral glucose tolerance test be used to identify the hyperinsulinaemic individual. | |
dc.identifier.citation | Journal of Insulin Resistance, 4(1), 7 pages. doi:https://doi.org/10.4102/jir.v4i1.49 | |
dc.identifier.doi | 10.4102/jir.v4i1.49 | en_NZ |
dc.identifier.issn | 2412-2785 | en_NZ |
dc.identifier.issn | 2519-7533 | en_NZ |
dc.identifier.uri | https://hdl.handle.net/10292/12708 | |
dc.language | en | en_NZ |
dc.publisher | AOSIS | en_NZ |
dc.relation.uri | https://insulinresistance.org/index.php/jir/article/view/49 | |
dc.rights | All articles published in this journal are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, unless otherwise stated. Website design & content: ©2019 AOSIS (Pty) Ltd. All rights reserved. No unauthorised duplication allowed. | |
dc.rights.accessrights | OpenAccess | en_NZ |
dc.subject | Type 2 diabetes; Insulin resistance; Hyperinsulinaemia; Kraft patterns; Insulin response patterns; Diagnosis | |
dc.title | Determining a Diagnostic Algorithm for Hyperinsulinaemia | en_NZ |
dc.type | Journal Article | |
pubs.elements-id | 362342 | |
pubs.organisational-data | /AUT | |
pubs.organisational-data | /AUT/Health & Environmental Science | |
pubs.organisational-data | /AUT/Health & Environmental Science/Interprofessional Health | |
pubs.organisational-data | /AUT/PBRF | |
pubs.organisational-data | /AUT/PBRF/PBRF Health and Environmental Sciences | |
pubs.organisational-data | /AUT/PBRF/PBRF Health and Environmental Sciences/HI Interprofessional 2018 PBRF |
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