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Short-Term Repeatability of Insulin Resistance Indexes in Older Adults: The Atherosclerosis Risk in Communities Study

Poon, Anna K.; Meyer, Michelle L.; Reaven, Gerald; Knowles, Joshua W.; Selvin, Elizabeth; Pankow, James S.; Couper, David; Loehr, Laura; Heiss, Gerardo

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2018

10.1210/jc.2017-02437

PMID: 29618016

Abstract:

Context: The homeostatic model assessment of insulin resistance (HOMA-IR) and triglyceride (TG)/ high-density lipoprotein cholesterol (HDL-C) ratio (TG/HDL-C) are insulin resistance indexes routinely used in clinical and population-based studies; however, their short-term repeatability is not well characterized. Objective: To quantify the short-term repeatability of insulin resistance indexes and their analytes, consisting of fasting glucose and insulin for HOMA-IR and TG and HDL-C for TG/HDL-C. Design: Prospective cohort study. Participants: A total of 102 adults 68 to 88 years old without diabetes attended an initial examination and repeated examination (mean, 46 days; range, 28 to 102 days). Blood samples were collected, processed, shipped, and assayed following a standardized protocol. Main Outcome Measures: Repeatability was quantified using the intraclass correlation coefficient (ICC) and within-person coefficient of variation (CV). Minimum detectable change (MDC 95) and minimum detectable difference with 95% confidence (MDD 95) were quantified. Results: For HOMA-IR, insulin, and fasting glucose, the ICCs were 0.70, 0.68, and 0.70, respectively; their respective within-person CVs were 30.4%, 28.8%, and 5.6%. For TG/HDL-C, TG, and HDL-C, the ICCs were 0.80, 0.68, and 0.91, respectively; their respective within-person CVs were 23.0%, 20.6%, and 8.2%. The MDC 95 was 2.3 for HOMA-IR and 1.4 for TG/HDL-C. The MDD 95 for a sample of n = 100 was 0.8 for HOMA-IR and 0.6 for TG/HDL-C. Conclusions: Short-term repeatability was fair to good for HOMA-IR and excellent for TG/HDL-C according to suggested benchmarks, reflecting the short-term variability of their analytes. These measurement properties can inform the use of these indexes in clinical and population-based studies.

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