#' @rdname calculate_isi_ogis
#' @export
calculate_isi_ogis_180 <- function(time, glucose, insulin, height, weight,
time_units = "min", height_units = "m", weight_units="kg",
glucose_units = "mg/dl", insulin_units = "uU/ml") {
if (any(is.na(time)) | any(is.na(glucose)) | any(is.na(insulin))) {
rlang::warn("Check for missing values in time, glucose, and insulin")
return(NA_real_)}
if (any(!is.numeric(time)) | any(!is.numeric(glucose)) | any(!is.numeric(insulin))) {
rlang::warn("non-numeric values in time, glucose, or insulin")
return(NA_real_)}
if (!all(order(time) == seq_along(time))) {
rlang::warn("Time values must be ordered from 0 to end") # check proper time order
return(NA_real_)}
# convert units;
time = convert_time_to_min(time, time_units)
glucose = convert_glucose_to_mgdl(glucose, glucose_units)
insulin = convert_insulin_to_uU_ml(insulin, insulin_units)
weight_kg = convert_weight_to_kg(weight, weight_units)
height_cm = convert_length_to_m(height, height_units)*100
bsa = calculate_bsa(height = height_cm, height_units = "cm",
weight = weight_kg, weight_units = "kg",
method = "Gehan-George")
ind0 = which(time==0)
g0 = glucose[ind0]
ins0 = insulin[ind0]
# ind90 = which(time==90)
# g90 = glucose[ind90]
# ins90 = insulin[ind90]
ind120 = which(time==120)
g120 = glucose[ind120]
ins120 = insulin[ind120]
ind180 = which(time==180)
g180 = glucose[ind180]
ins180 = insulin[ind180]
p1=289
p2=270
p3=14000
p4=440
p5=637E-6
p6=117
V=10000 # L/m2
D=75/bsa # Dose in g/m2
gcl=90 # equivalent Glucose Clamp Value
x1 = p4*(((p1*D - V*(g180 - g120)/60)/g120 + p3/g0)/(ins120 - ins0 + p2))
x2 = (p5*(g120-gcl) + 1)*x1
ogis = 0.5*(x2 + sqrt((x2^2 + 4*p5*p6*(g120-gcl)*x1)))
return(ogis)
# return(c("x1"= x1, "x2"=x2, "ogis"=ogis, "bsa"=bsa, "Dose" = D))
}
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