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Kirsten A. McAuley

Researcher at University of Otago

Publications -  8
Citations -  346

Kirsten A. McAuley is an academic researcher from University of Otago. The author has contributed to research in topics: Insulin resistance & Population. The author has an hindex of 7, co-authored 8 publications receiving 336 citations.

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Monte Carlo analysis of a new model-based method for insulin sensitivity testing

TL;DR: The proposed protocol is simple, cost effective, repeatable and highly correlated to the gold-standard clamp, and designed with physiological dosing, short duration, simple protocol, low cost and high repeatability.
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Transient and Steady-State Euglycemic Clamp Validation of a Model for Glycemic Control and Insulin Sensitivity Testing

TL;DR: The model-based insulin sensitivity parameter, SI, highly correlates to ISIG in all subgroups, even when only considering a transient state, and offers the potential for a short, simple yet highly correlated, model- based assessment of insulin sensitivity that is not currently available.
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Design and Clinical Pilot Testing of the Model-Based Dynamic Insulin Sensitivity and Secretion Test (DISST)

TL;DR: Findings suggest that DISST may be an easily performed dynamic test to quantify IS with high resolution, especially among those with reduced IS, and most consistent in subjects with low IS.
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Point: HOMA—Satisfactory for the Time Being: HOMA: The best bet for the simple determination of insulin sensitivity, until something better comes along

TL;DR: It is argued that measures of insulin resistance do not predict CVD when other more easily measured components of the metabolic syndrome cluster are present, and these measures based on fasting insulin are unreliable; however, measurement of insulin sensitivity has greatly enhanced the understanding of the pathophysiology of diabetes and relationships to cardiovascular outcomes.
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DISTq: an iterative analysis of glucose data for low-cost, real-time and accurate estimation of insulin sensitivity

TL;DR: The quick dynamic insulin sensitivity test (DISTq) utilises the model-based DIST test protocol and a series of population estimates to eliminate the need for insulin or C-peptide assays to enable a high resolution, low-intensity, real-time evaluation of SI.