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Key Sensor-Detected Hypoglycaemia Metrics

Source: R/cgmFunctions.R
sdhSummarise.Rd

Summarise sensor-detected hypoglycaemia (SDH) data for the chosen glucose threshold

Usage

sdhSummarise(
  DataFrame,
  DetectionLimit = "3.9",
  LongDuration = 120,
  AddSleepSummary = "no"
)

Arguments

DataFrame

A dataframe object, output of the sdhDetection() function. It includes for each participant, one hypoglycaemic episode per row with characteristics in each column.

DetectionLimit

Object of type numeric or integer corresponding to the glucose value used to detect hypoglycaemia. Default is 3.9 mmol/L.

LongDuration

Numeric object indicating the minimum duration used to define a long episode of sensor detected hypoglycaemia. Default is 120 minutes.

AddSleepSummary

A character object specifying whether a summary of SDH should be added according to sleep status. Default is "no". Other option is "yes".

Value

Data frame with one line per participant with key SDH metrics. This includes the number of episodes during the day/night, mean duration of episodes, the number long SDH and the number of days during which those occur.

Details

This function goes hand in hand with the sdhDetection() function. Once the details of each individual hypoglycaemia episode has been produced, this function can be used to summarise them. If an SDH summary by sleep status is required, the sdhDetection function must have been run with the AddSleepStatus argument set to "yes".

Examples

if (FALSE) { # \dontrun{
hypometrics::sdhSummarise(DataFrame,
                          DetectionLimit = "3.0",
                          LongDuration = 120,
                          AddSleepSummary = "no")
} # }