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TyG Index and Glucose Prediction Calculator

Project Overview

Developed by Septerional

Research at Barceloneta Intelligence Complex. By Agents: 1, 23, 31, 56, 89 & 90.

A sophisticated Dart application for calculating the TyG (Triglycerides and Glucose) Index and predicting future glucose levels based on key metabolic parameters.

Main Features

  • TyG Index calculation
  • Insulin resistance risk assessment
  • One-hour glucose level prediction

Scientific Foundations

TyG Index

The TyG Index is a non-invasive method for estimating insulin resistance. Developed by researchers including:

  1. Simental-Mendía, L. E., et al. (2008). "The product of fasting glucose and triglycerides as a surrogate for insulin resistance index." Metabolic Syndrome and Related Disorders, 6(4), 299-304.

  2. Guerrero-Romero, F., et al. (2010). "The product of triglycerides and glucose as a diagnostic tool for insulin resistance in apparently healthy subjects." Metabolic Syndrome and Related Disorders, 8(6), 483-487.

Formula

TyG Index = log(Triglycerides / 2) + log(Glucose / 2)

TyG Index Interpretation

  • Cutoff Point: 4.5
  • > 4.5: Potential high risk of insulin resistance
  • ≤ 4.5: Normal insulin resistance risk

Glucose Prediction Methodology

The glucose prediction is based on:

  • Current glucose level
  • Carbohydrate consumption
  • Insulin resistance index

Additional Scientific References

  1. Matthews, D. R., et al. (1985). "Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man." Diabetologia, 28(7), 412-419.

  2. DeFronzo, R. A., & Ferrannini, E. (1991). "Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerosis." Diabetes Care, 14(3), 173-194.

  3. Katz, A., et al. (2000). "Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans." The Journal of Clinical Endocrinology & Metabolism, 85(7), 2402-2410.

Limitations

⚠️ Important:

  • This model is a scientific approximation
  • It does not replace professional medical diagnosis
  • Each individual has unique metabolic characteristics

Requirements

  • Dart SDK
  • Basic knowledge of metabolism and glucose dynamics

Usage

  1. Run the program
  2. Enter triglyceride levels
  3. Enter fasting glucose levels
  4. Enter current glucose level
  5. Enter consumed carbohydrates

Contributions

Contributions are welcome. Please open an issue or submit a pull request.

License

[Specify your license, e.g., MIT]

Disclaimer

This software is provided "as is", without warranty of any kind. It is not a substitute for professional medical advice.

Research Collaboration

Developed by: Septerional Research Facility: Barceloneta Intelligence Complex