Cardio IQ Insulin Resistance Panel with Score
The Cardio IQ® Insulin Resistance Score (IR), which uses fasting insulin and C-peptide measurements to estimate a person's likelihood of having insulin resistance. It eliminates the need for multiple samples and reduces the chance of errors that can occur with some other tests.
Having a high score (indicating a greater probability of insulin resistance) was linked to an increased risk of developing type 2 diabetes, even after accounting for other risk factors.
An IR score of <33 suggests that an individual has normal insulin sensitivity.
A score of 33 to 66 suggests that an individual has >4-fold greater odds of having IR compared with an individual with a score <33 .
A score >66 suggests that an individual has >15-fold greater odds of having IR compared to an individual with a score
Fasting Required for 10-12 hours. Water only.
What is the Cardio IQ® Insulin Resistance Panel with Score ?
In people with insulin resistance (IR), their cells don't respond well to insulin and don't absorb enough glucose from the blood. This can lead to conditions like prediabetes and type 2 diabetes, along with others like high blood pressure, heart disease, stroke, non-alcoholic fatty liver disease, polycystic ovary syndrome (PCOS), and certain types of cancer. Spotting and addressing insulin resistance early can help prevent or slow down these health issues.
Insulin resistance can start slowly and be hard to identify. In the early stages, the pancreas may produce extra insulin to make up for the reduced sensitivity. This can keep blood sugar and HbA1c (a measure of long-term blood sugar control) at normal levels. Monitoring only blood sugar won't catch the start of insulin resistance. If insulin sensitivity keeps dropping, the extra insulin produced won't be able to keep blood sugar levels normal, leading to higher blood sugar levels, prediabetes, and eventually type 2 diabetes.
There are research methods to detect insulin resistance even in people with normal fasting glucose levels, but they are time-consuming and complicated, so they're not practical for routine use. Simpler methods have shown promise for assessing the risk of diabetes. For instance, combining HbA1c and the HOMA-IR score, which uses fasting insulin and glucose levels, improved risk assessment for type 2 diabetes compared to using HbA1c alone.
C-peptide, a molecule released with insulin, can be an indirect marker of insulin resistance. Compared to insulin, C-peptide lasts longer in the blood, is present at higher levels, and fluctuates less. But measuring C-peptide is not commonly done due to the cost and inconvenience of collecting more samples and doing an additional test.
The Cardio IQ® Insulin Resistance Score uses fasting insulin and C-peptide measurements to estimate a person's likelihood of having insulin resistance. It eliminates the need for multiple samples and reduces the chance of errors that can occur with some other tests.
This score was developed in a study and used to estimate the odds of having insulin resistance. It showed that having a high score (indicating a greater probability of insulin resistance) was linked to an increased risk of developing type 2 diabetes in a group of older Europeans, even after accounting for other risk factors.
Fasting Required for 10-12 hours. Water only.
Interpretive information
Individuals with elevated fasting insulin and/or C-peptide levels may have IR, which is reflected in the IR score.
An IR score of <33 suggests that an individual has normal insulin sensitivity.
A score of 33 to 66 suggests that an individual has >4-fold greater odds of having IR compared with an individual with a score <33 .
A score >66 suggests that an individual has >15-fold greater odds of having IR compared to an individual with a score
Frequently Asked Questions
References
- Reaven GM. The insulin resistance syndrome. Curr Atheroscler Rep. 2003;5(5):364-371. doi:10.1007/s11883-003-0007-0
- Saisho Y. β-cell dysfunction: its critical role in prevention and management of type 2 diabetes. World J Diabetes. 2015;6(1):109-124. doi:10.4239/wjd.v6.i1.109
- Abbasi F, Shiffman D, Tong CH, et al. Insulin resistance probability scores for apparently healthy individuals. J Endocr Soc. 2018;2(9):1050-1057. doi:10.1210/js.2018-00107
- Leighton E, Sainsbury CA, Jones GC. A practical review of C-peptide testing in diabetes. Diabetes Ther. 2017;8(3):475-487. doi:10.1007/s13300-017-0265-4
- Pei D, Jones CN, Bhargava R, et al. Evaluation of octreotide to assess insulin-mediated glucose disposal by the insulin suppression test. Diabetologica. 1994;37(8):843-845. doi:10.1007/BF00404344
- DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979;237(3):E214-223. doi:10.1152/ajpendo.1979.237.3.E214
- Taylor SW, Clarke NJ, Chen Z, et al. A high-throughput mass spectrometry assay to simultaneously measure intact insulin and C-peptide. Clin Chim Acta. 2016;455:202-208. doi:10.1016/j.cca.2016.01.019
- Bril F, McPhaul MJ, Kalavalapalli S, et al. Intact fasting insulin identifies nonalcoholic fatty liver disease in patients without diabetes. J Clin Endocrinol Metab. 2021;106(11):e4360-e4371. doi:10.1210/clinem/dgab417
- De Cosmo S, Menzaghi C, Prudente S, et al. Role of insulin resistance in kidney dysfunction: insights into the mechanism and epidemiological evidence. Nephrol Dial Transplant. 2013;28(1):29-36. doi:10.1093/ndt/gfs290.
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