Diagnosing insulin resistance in the general population

Area of Science:

• Endocrinology
• Metabolic Health
• Clinical Diagnostics

Background:

• Insulin resistance is a growing public health concern, yet accurate measurement remains challenging in primary care settings.
• Current methods for assessing insulin sensitivity are often complex, invasive, or not readily available for widespread population screening.

Purpose of the Study:

• To evaluate and compare various surrogate measures of insulin sensitivity against the gold standard euglycemic insulin clamp.
• To identify the most accurate and practical method for screening insulin resistance in the general population.

Main Methods:

• The study involved 178 normoglycemic adults, measuring insulin sensitivity via euglycemic insulin clamp (ISI).
• Various surrogate markers including fasting insulin, HOMA, insulin-to-glucose ratio, Bennett index, and a novel weighted score were compared using correlation and regression analyses.

Main Results:

• Fasting insulin and triglycerides emerged as the strongest predictors of insulin sensitivity.
• A weighted score incorporating fasting insulin and triglycerides demonstrated higher sensitivity and maintained specificity compared to fasting insulin alone in predicting insulin resistance.

Conclusions:

• A simple, weighted score using routine fasting insulin and triglyceride levels is a practical tool for screening insulin resistance in the general population.
• This approach simplifies the identification of individuals who may benefit from further metabolic evaluation and intervention.