Insulin Resistance Probability Scores for Apparently Healthy Individuals
- PMID: 30187017
- PMCID: PMC6117401
- DOI: 10.1210/js.2018-00107
Insulin Resistance Probability Scores for Apparently Healthy Individuals
Abstract
Context: Insulin resistance (IR) can progress to type 2 diabetes. Therefore, timely identification of IR could facilitate disease prevention efforts. However, direct measurement of IR is not feasible in a clinical setting.
Objective: Develop a clinically practical probability score to assess IR in apparently healthy individuals based on levels of insulin, C-peptide, and other risk factors.
Design: Cross-sectional study.
Participants: Apparently healthy individuals who volunteered to participate in studies of IR.
Main outcome measure: IR, defined as the top tertile of steady-state plasma glucose during an insulin-suppression test.
Results: In a study of 535 participants, insulin, C-peptide, creatinine, body mass index (BMI), and triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-C) were independently associated with IR (all P < 0.05) in a model that included age, sex, ethnicity, BMI, blood pressure, insulin, C-peptide, fasting glucose, low-density lipoprotein cholesterol, TG/HDL-C, alanine aminotransferase, and creatinine. For an IR probability score based on a model that included insulin, C-peptide, creatinine, TG/HDL-C, and BMI, the odds ratio was 26.7 (95% CI 14.0 to 50.8) for those with scores >66% compared with those with scores <33%. When only insulin and C-peptide were included in the model, the odds ratio was 15.6 (95% CI 7.5 to 32.4) for those with scores >66% compared with those with scores <33%.
Conclusions: An IR probability score based on insulin, C-peptide, creatinine, TG/HDL-C, and BMI or a score based on only insulin and C-peptide may help assess IR in apparently healthy individuals.
Keywords: C-peptide; insulin; insulin resistance.
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