CardioIQ Insulin Resistance Panel With Score

CardioIQ Insulin Resistance Panel With Score

This test is used to evaluate the likelihood that an individual has insulin resistance.

Cardio IQ Insulin Resistance Panel With Score

Test Summary

 

Cardio IQ® Insulin Resistance Panel With Score

Test code: 36509

 

Clinical use

  • Identify insulin resistance (IR)

Clinical background

In individuals with IR, cells become less sensitive to the effects of insulin and do not absorb enough glucose from the bloodstream. IR can progress to prediabetes and type 2 diabetes. IR is also associated with other clinical conditions, including hypertension, cardiovascular disease (CVD), stroke, metabolic dysfunction associated steatotic liver disease (formerly NAFLD), polycystic ovary syndrome (PCOS), and certain forms of cancer.1 Early recognition and intervention can help reverse IR or prevent its progression and thereby reduce the risk of these clinical conditions.1

The onset of IR can be gradual and difficult to recognize. In early stages of IR, before prediabetes develops, pancreatic beta-cells may produce high levels of insulin to offset the reduced insulin sensitivity. This increased insulin production can maintain normal levels of blood glucose and hemoglobin A1c (HbA1c). Consequently, monitoring glycemic indices alone will not detect the onset of IR. As insulin sensitivity continues to decline (and IR increases), the increased insulin production will not be able to maintain normal glucose levels. Glucose levels rise, and prediabetes and type 2 diabetes can develop.

Methods used in a research setting, such as the hyperinsulinemic euglycemic glucose clamp2 or the insulin suppression test,3 can detect IR even in individuals with normal fasting glucose levels. However, these methods are time-consuming and labor-intensive, making them impractical for use in a primary-prevention clinic. A simpler surrogate marker is the homeostatic model assessment (HOMA), which uses fasting glucose levels and insulin or C-peptide to derive an IR score.4 C-peptide is co-secreted with insulin in similar amounts from the beta-cells.4 Compared with insulin, C-peptide has a longer half-life in circulation, is present at 3- to 6-fold higher levels, and exhibits less fluctuation.4,5 However, C-peptide measurements are not typically performed because of the costs and inconvenience associated with collecting additional samples and performing an additional assay for C-peptide.4 In addition, measurement of IR is not currently recommended as a screening tool in guidelines for diabetes6 or PCOS.7

Quest Diagnostics offers the Cardio IQ® Insulin Resistance Score as a simple surrogate marker that combines fasting insulin and C-peptide measurements to evaluate the likelihood that an individual has IR. The analytes are simultaneously quantified by liquid chromatography-tandem mass spectrometry (LC-MS/MS) as intact molecules, eliminating both the need for multiple samples and the possibility of cross-reactivity that can affect some immunoassays.

The IR score (a probability score [%]) was developed in a study of 535 apparently healthy individuals. The odds ratio for a study participant having IR, measured using the insulin suppression test, was estimated using the score as summarized in the Table.8 In a follow-up study, the risk of type 2 diabetes was assessed in a population of older Europeans (median follow-up time 9.1 years).9 Being in the top (IR score >20%) versus the bottom tertile (IR score <7%) was associated with incident type 2 diabetes after adjusting for established risk factors (hazard ratio [HR], 2.1; 95% confidence interval [CI], 1.7-2.5; P<.001) except for prediabetes status, which attenuated risk (HR, 1.5; 95% CI, 1.3-1.8; P<.001).9

Table. Association Between IR Score and IR Determined During an Insulin Suppression Test8

IR score, %

Odds ratios for IR (95% CI)

<33

Reference

33 to ≤66

4.4 (2.5-7.8)

>66

15.6 (7.5-32.4)

CI, confidence interval; IR, insulin resistance.

Compared to lower IR scores, higher IR scores have also been associated with an increased risk of incident CVD and all-cause mortality10 and incident coronary heart disease (fatal and non-fatal myocardial infarction and coronary revascularization).11

Individuals suitable for testing

  • Individuals at risk for IR, which may lead to prediabetes or type 2 diabetes, including those who
  • Are overweight or obese
  • Have a history of gestational diabetes
  • Have a family history of diabetes
  • Meet the criteria for metabolic syndrome
  • Individuals with clinical features associated with IR (eg, hypertension, central obesity, and acanthosis nigricans [dark patches of thick, velvety skin on the back of the neck, armpits, and groin])

Method

  • High-throughput immunocapture LC-MS/MS12
  • Quantitation based on standards traceable by peptide content13
  • Analytical sensitivity: 3 μIU/mL (insulin); 0.11 ng/mL (C-peptide)
  • Analytical specificity: no cross-reactivity with proinsulin
  • Reportable ranges: 3 to 3,200 μIU/mL (insulin); 0.11 to 272.00 ng/mL (C-peptide); 0 to 100 (IR score)
  • IR score
  • Calculated using the insulin and C-peptide concentrations converted to pmol/L
  • Expressed as a % probability ranking of IR

The panel component Insulin, Intact, LC/MS/MS (test code 93103) can be ordered separately. The C-peptide LC-MS/MS panel component cannot be ordered separately. C-peptide by immunoassay (test code 372) is not an equivalent test and cannot be used in calculation of the IR score.

Interpretive information

Individuals with elevated fasting insulin and/or C-peptide levels may have IR,8,14 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 (Table).
A score >66 suggests that an individual has >15-fold greater odds of having IR compared to an individual with a score <33 (Table).

References

  1. Reaven GM. The insulin resistance syndrome. Curr Atheroscler Rep. 2003;5(5):364-371. doi:10.1007/s11883-003-007-0
  2. DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979;237(3):E214-E223. doi:10.1152/ajpendo.1979.237.3.E214
  3. Pei D, Jones CN, Bhargava R, et al. Evaluation of octreotide to assess insulin-mediated glucose disposal by the insulin suppression test. Diabetologia. 1994;37(8):843-845. doi:10.1007/BF00404344
  4. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27(6):1487-1495. doi:10.2337/diacare.27.6.1487
  5. 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
  6. American Diabetes Association Professional Practice Committee. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes—2024. Diabetes Care. 2024;47(suppl 1):S20-S42. doi:10.2337/dc24-S002
  7. Teede HJ, Tay CT, Laven JJE, et al. Recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome. J Clin Endocrinol Metab. 2023;108(10):2447-2469. doi:10.1210/clinem/dgad463
  8. 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
  9. Shiffman D, Louie JZ, Meigs JB, et al. An insulin resistance score improved diabetes risk assessment in the Malmö Prevention Project-a longitudinal population-based study of older Europeans. Diabetes Care. 2021;44(10):e186-e187. doi:10.2337/dc21-1328
  10. Louie JZ, Shiffman D, McPhaul MJ, et al. Insulin resistance probability score and incident cardiovascular disease. J Intern Med. 2023;294(4):531-535. doi:10.1111/joim.13687
  11. Qian F, Guo Y, Li C, et al. Biomarkers of glucose-insulin homeostasis and incident type 2 diabetes and cardiovascular disease: results from the Vitamin D and Omega-3 trial. Cardiovasc Diabetol. 2024;23(1):393. doi:10.1186/s12933-024-02470-1
  12. 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
  13. Taylor SW, Clarke NJ, McPhaul MJ. Quantitative amino acid analysis in insulin and C-peptide assays. Clin Chem. 2016;62(8):1152-1153. doi:10.1373/clinchem.2016.256313
  14. 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
     

Content reviewed 11/2024

top of page

This test is used to evaluate the likelihood that an individual has insulin resistance.

Cardio IQ Insulin Resistance Panel With Score

Test Summary

 

Cardio IQ® Insulin Resistance Panel With Score

Test code: 36509

 

Clinical use

  • Identify insulin resistance (IR)

Clinical background

In individuals with IR, cells become less sensitive to the effects of insulin and do not absorb enough glucose from the bloodstream. IR can progress to prediabetes and type 2 diabetes. IR is also associated with other clinical conditions, including hypertension, cardiovascular disease (CVD), stroke, metabolic dysfunction associated steatotic liver disease (formerly NAFLD), polycystic ovary syndrome (PCOS), and certain forms of cancer.1 Early recognition and intervention can help reverse IR or prevent its progression and thereby reduce the risk of these clinical conditions.1

The onset of IR can be gradual and difficult to recognize. In early stages of IR, before prediabetes develops, pancreatic beta-cells may produce high levels of insulin to offset the reduced insulin sensitivity. This increased insulin production can maintain normal levels of blood glucose and hemoglobin A1c (HbA1c). Consequently, monitoring glycemic indices alone will not detect the onset of IR. As insulin sensitivity continues to decline (and IR increases), the increased insulin production will not be able to maintain normal glucose levels. Glucose levels rise, and prediabetes and type 2 diabetes can develop.

Methods used in a research setting, such as the hyperinsulinemic euglycemic glucose clamp2 or the insulin suppression test,3 can detect IR even in individuals with normal fasting glucose levels. However, these methods are time-consuming and labor-intensive, making them impractical for use in a primary-prevention clinic. A simpler surrogate marker is the homeostatic model assessment (HOMA), which uses fasting glucose levels and insulin or C-peptide to derive an IR score.4 C-peptide is co-secreted with insulin in similar amounts from the beta-cells.4 Compared with insulin, C-peptide has a longer half-life in circulation, is present at 3- to 6-fold higher levels, and exhibits less fluctuation.4,5 However, C-peptide measurements are not typically performed because of the costs and inconvenience associated with collecting additional samples and performing an additional assay for C-peptide.4 In addition, measurement of IR is not currently recommended as a screening tool in guidelines for diabetes6 or PCOS.7

Quest Diagnostics offers the Cardio IQ® Insulin Resistance Score as a simple surrogate marker that combines fasting insulin and C-peptide measurements to evaluate the likelihood that an individual has IR. The analytes are simultaneously quantified by liquid chromatography-tandem mass spectrometry (LC-MS/MS) as intact molecules, eliminating both the need for multiple samples and the possibility of cross-reactivity that can affect some immunoassays.

The IR score (a probability score [%]) was developed in a study of 535 apparently healthy individuals. The odds ratio for a study participant having IR, measured using the insulin suppression test, was estimated using the score as summarized in the Table.8 In a follow-up study, the risk of type 2 diabetes was assessed in a population of older Europeans (median follow-up time 9.1 years).9 Being in the top (IR score >20%) versus the bottom tertile (IR score <7%) was associated with incident type 2 diabetes after adjusting for established risk factors (hazard ratio [HR], 2.1; 95% confidence interval [CI], 1.7-2.5; P<.001) except for prediabetes status, which attenuated risk (HR, 1.5; 95% CI, 1.3-1.8; P<.001).9

Table. Association Between IR Score and IR Determined During an Insulin Suppression Test8

IR score, %

Odds ratios for IR (95% CI)

<33

Reference

33 to ≤66

4.4 (2.5-7.8)

>66

15.6 (7.5-32.4)

CI, confidence interval; IR, insulin resistance.

Compared to lower IR scores, higher IR scores have also been associated with an increased risk of incident CVD and all-cause mortality10 and incident coronary heart disease (fatal and non-fatal myocardial infarction and coronary revascularization).11

Individuals suitable for testing

  • Individuals at risk for IR, which may lead to prediabetes or type 2 diabetes, including those who
  • Are overweight or obese
  • Have a history of gestational diabetes
  • Have a family history of diabetes
  • Meet the criteria for metabolic syndrome
  • Individuals with clinical features associated with IR (eg, hypertension, central obesity, and acanthosis nigricans [dark patches of thick, velvety skin on the back of the neck, armpits, and groin])

Method

  • High-throughput immunocapture LC-MS/MS12
  • Quantitation based on standards traceable by peptide content13
  • Analytical sensitivity: 3 μIU/mL (insulin); 0.11 ng/mL (C-peptide)
  • Analytical specificity: no cross-reactivity with proinsulin
  • Reportable ranges: 3 to 3,200 μIU/mL (insulin); 0.11 to 272.00 ng/mL (C-peptide); 0 to 100 (IR score)
  • IR score
  • Calculated using the insulin and C-peptide concentrations converted to pmol/L
  • Expressed as a % probability ranking of IR

The panel component Insulin, Intact, LC/MS/MS (test code 93103) can be ordered separately. The C-peptide LC-MS/MS panel component cannot be ordered separately. C-peptide by immunoassay (test code 372) is not an equivalent test and cannot be used in calculation of the IR score.

Interpretive information

Individuals with elevated fasting insulin and/or C-peptide levels may have IR,8,14 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 (Table).
A score >66 suggests that an individual has >15-fold greater odds of having IR compared to an individual with a score <33 (Table).

References

  1. Reaven GM. The insulin resistance syndrome. Curr Atheroscler Rep. 2003;5(5):364-371. doi:10.1007/s11883-003-007-0
  2. DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979;237(3):E214-E223. doi:10.1152/ajpendo.1979.237.3.E214
  3. Pei D, Jones CN, Bhargava R, et al. Evaluation of octreotide to assess insulin-mediated glucose disposal by the insulin suppression test. Diabetologia. 1994;37(8):843-845. doi:10.1007/BF00404344
  4. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27(6):1487-1495. doi:10.2337/diacare.27.6.1487
  5. 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
  6. American Diabetes Association Professional Practice Committee. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes—2024. Diabetes Care. 2024;47(suppl 1):S20-S42. doi:10.2337/dc24-S002
  7. Teede HJ, Tay CT, Laven JJE, et al. Recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome. J Clin Endocrinol Metab. 2023;108(10):2447-2469. doi:10.1210/clinem/dgad463
  8. 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
  9. Shiffman D, Louie JZ, Meigs JB, et al. An insulin resistance score improved diabetes risk assessment in the Malmö Prevention Project-a longitudinal population-based study of older Europeans. Diabetes Care. 2021;44(10):e186-e187. doi:10.2337/dc21-1328
  10. Louie JZ, Shiffman D, McPhaul MJ, et al. Insulin resistance probability score and incident cardiovascular disease. J Intern Med. 2023;294(4):531-535. doi:10.1111/joim.13687
  11. Qian F, Guo Y, Li C, et al. Biomarkers of glucose-insulin homeostasis and incident type 2 diabetes and cardiovascular disease: results from the Vitamin D and Omega-3 trial. Cardiovasc Diabetol. 2024;23(1):393. doi:10.1186/s12933-024-02470-1
  12. 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
  13. Taylor SW, Clarke NJ, McPhaul MJ. Quantitative amino acid analysis in insulin and C-peptide assays. Clin Chem. 2016;62(8):1152-1153. doi:10.1373/clinchem.2016.256313
  14. 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
     

Content reviewed 11/2024

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Reference ranges are provided as general guidance only. To interpret test results use the reference range in the laboratory report.

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