HOMA 2 IR Calculator C Peptide

HOMA2 Model (Computational):

Uses iterative computational model based on fasting C-peptide and glucose levels to estimate insulin resistance (HOMA2-IR)

HOMA2-IR Result:

Unit Converter ▲

Unit Converter ▼

From:	To:

1. What is HOMA2-IR with C-Peptide?

The HOMA2 (Homeostatic Model Assessment 2) with C-peptide is an updated computational model that estimates insulin resistance using fasting C-peptide and glucose levels. It provides a more accurate assessment than the original HOMA model, especially in various metabolic conditions.

2. How Does the Calculator Work?

The calculator uses the HOMA2 computational model which employs iterative mathematical algorithms to solve simultaneous equations representing:

Hepatic glucose output
Pancreatic beta-cell function
Insulin sensitivity
Renal glucose excretion

Input Parameters: Fasting C-peptide and fasting glucose levels are used to compute HOMA2-IR, which quantifies insulin resistance.

3. Importance of HOMA2-IR Calculation

Clinical Significance: HOMA2-IR provides valuable information about insulin resistance, which is crucial for diagnosing metabolic syndrome, type 2 diabetes risk assessment, and monitoring treatment effectiveness in various metabolic disorders.

4. Using the Calculator

Instructions: Enter fasting C-peptide level (in nmol/L or pmol/L) and fasting glucose level (in mg/dL or mmol/L). Ensure measurements are taken after an overnight fast for accurate results.

5. Frequently Asked Questions (FAQ)

Q1: Why use C-peptide instead of insulin?
A: C-peptide has a longer half-life, provides more stable measurements, and better reflects endogenous insulin secretion, especially in insulin-treated patients.

Q2: What are normal HOMA2-IR values?
A: Typically, HOMA2-IR values below 1.0 indicate normal insulin sensitivity, while values above 1.8-2.0 suggest insulin resistance.

Q3: When should this test be performed?
A: Morning fasting sample after 8-12 hours of overnight fasting is recommended for accurate results.

Q4: Are there limitations to HOMA2 model?
A: The model assumes steady-state conditions and may be less accurate in extreme metabolic states, liver disease, or renal impairment.

Q5: How does HOMA2 differ from original HOMA?
A: HOMA2 uses a computational model rather than a simple formula, accounts for renal glucose excretion, and provides separate estimates for insulin resistance and beta-cell function.