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Homa Ir Quicki Calculator

QUICKI Formula:

\[ QUICKI = \frac{1}{\log(Insulin) + \log(Glucose)} \]

μU/mL
mg/dL

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1. What is the QUICKI Index?

The QUICKI (Quantitative Insulin Sensitivity Check Index) is a mathematical transformation of fasting insulin and glucose levels that provides a reliable index of insulin sensitivity. It is a simple and accurate method for assessing insulin resistance.

2. How Does the Calculator Work?

The calculator uses the QUICKI formula:

\[ QUICKI = \frac{1}{\log(Insulin) + \log(Glucose)} \]

Where:

Explanation: The QUICKI index uses logarithmic transformation of fasting insulin and glucose levels to provide a quantitative measure of insulin sensitivity.

3. Importance of QUICKI Calculation

Details: QUICKI is a simple, accurate, and reproducible method for measuring insulin sensitivity. It correlates well with the gold standard hyperinsulinemic-euglycemic clamp method and is useful in clinical and research settings.

4. Using the Calculator

Tips: Enter fasting insulin in μU/mL and fasting glucose in mg/dL. Both values must be greater than zero for accurate calculation.

5. Frequently Asked Questions (FAQ)

Q1: What is a normal QUICKI value?
A: Normal QUICKI values typically range from 0.45 to 0.50. Lower values indicate insulin resistance, while higher values indicate better insulin sensitivity.

Q2: How does QUICKI compare to HOMA-IR?
A: Both QUICKI and HOMA-IR assess insulin resistance from fasting glucose and insulin levels, but QUICKI uses logarithmic transformation which may provide better correlation with clamp-derived measurements.

Q3: When should insulin and glucose be measured?
A: For accurate QUICKI calculation, both measurements should be taken after an overnight fast of 8-12 hours.

Q4: Are there limitations to the QUICKI index?
A: QUICKI may be less accurate in extreme conditions such as very high insulin levels or in patients with type 1 diabetes.

Q5: Can QUICKI be used for all populations?
A: QUICKI has been validated in various populations including obese individuals, patients with diabetes, and different ethnic groups, but should be interpreted in clinical context.

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