AGATA

# Glycemic transformation metrics

# hypoIndex

function hypoIndex = hypoIndex(data)

Function that computes the hypoglycemic index by Rodbard (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • hypoIndex: double
    The hypoglycemic index (unitless).

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose.

# Reference

  • Rodbard et al., "Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control", Diabetes Technology & Therapeutics, 2009, vol. 11, pp. S55-S67. DOI: 10.1089/dia.2008.0132.

# hyperIndex

function hyperIndex = hyperIndex(data)

Function that computes the hyperglycemic index by Rodbard (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • hyperIndex: double
    The hyperglycemic index (unitless).

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose.

# Reference

  • Rodbard et al., "Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control", Diabetes Technology & Therapeutics, 2009, vol. 11, pp. S55-S67. DOI: 10.1089/dia.2008.0132.

# igc

function igc = igc(data)

Function that computes the index of glycemic control (IGC) by Rodbard (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • igc: double
    The index of glycemic control (unitless).

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose.

# Reference

  • Rodbard et al., "Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control", Diabetes Technology & Therapeutics, 2009, vol. 11, pp. S55-S67. DOI: 10.1089/dia.2008.0132.

# mrIndex

function mrIndex = mrIndex(data,r)

Function that computes the mr value by Schlichtkrull (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl);
  • r: integer (optional, default: 100 )
    An integer that is a parameter for mr index calculation.

# Output

  • mrIndex: double
    The mr value (unitless).

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose;
  • r must be an integer.

# Reference

  • Schlichtkrull et al., "The M-value, an index of blood-sugar control in diabetics", Acta Medica Scandinavica, 1965, vol. 177, pp. 95-102. DOI: 10.1111/j.0954-6820.1965.tb01810.x.

# gradeScore

function gradeScore = gradeScore(data)

Function that computes the glycemic risk assessment diabetes equation score (GRADE) by Hill (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • gradeScore: double
    The glycemic risk assessment diabetes equation score (GRADE) (%).

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose.

# Reference

  • Hill et al., "A method for assessing quality of control from glucose profiles", Diabetic Medicine , 2007, vol. 24, pp. 753-758. DOI: 10.1111/j.1464-5491.2007.02119.x.

# gradeEuScore

function gradeEuScore = gradeEuScore(data)

Function that computes the glycemic risk assessment diabetes equation score in the euglycemic range (GRADEeu) by Hill (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • gradeEuScore: double
    The glycemic risk assessment diabetes equation score in the euglycemic range (GRADEeu) (%).

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose.

# Reference

  • Hill et al., "A method for assessing quality of control from glucose profiles", Diabetic Medicine , 2007, vol. 24, pp. 753-758. DOI: 10.1111/j.1464-5491.2007.02119.x.

# gradeHypoScore

function gradeHypoScore = gradeHypoScore(data)

Function that computes the glycemic risk assessment diabetes equation score in the hypoglycemic range (GRADEhypo) by Hill (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • gradeHypoScore: double
    The glycemic risk assessment diabetes equation score in the hypoglycemic range (GRADEhypo) (%).

# Preconditions

  • data must be a timetable having an homogeneous time grid.

# Reference

  • Hill et al., "A method for assessing quality of control from glucose profiles", Diabetic Medicine , 2007, vol. 24, pp. 753-758. DOI: 10.1111/j.1464-5491.2007.02119.x.

# gradeHyperScore

function gradeHyperScore = gradeHyperScore(data)

Function that computes the glycemic risk assessment diabetes equation score in the hyperglycemic range (GRADEhyper) by Hill (ignores nan values).

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • gradeHyperScore: double
    The glycemic risk assessment diabetes equation score in the hyperglycemic range (GRADEhyper) (%).

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose.

# Reference

  • Hill et al., "A method for assessing quality of control from glucose profiles", Diabetic Medicine , 2007, vol. 24, pp. 753-758. DOI: 10.1111/j.1464-5491.2007.02119.x.

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