Calculate 2022 LAH Extended PTP for obstructive CAD

This function returns a patient's pre-test probability (PTP) of obstructive coronary artery disease based on the 2022 Local Assessment of the Heart (LAH) extended model.

Usage

calculate_lah_2022_extended_ptp(
  age,
  sex,
  chest_pain_type,
  have_diabetes,
  have_hypertension,
  have_dyslipidemia,
  have_smoking_history,
  coronary_calcium_score,
  label_sex_male = c("male"),
  label_sex_female = c("female"),
  label_sex_unknown = c(NA, NaN),
  label_cpt_nonanginal = c("nonanginal"),
  label_cpt_atypical = c("atypical"),
  label_cpt_typical = c("typical"),
  label_cpt_unknown = c(NA, NaN),
  label_have_diabetes_no = c("no"),
  label_have_diabetes_yes = c("yes"),
  label_have_diabetes_unknown = c(NA, NaN),
  label_have_hypertension_no = c("no"),
  label_have_hypertension_yes = c("yes"),
  label_have_hypertension_unknown = c(NA, NaN),
  label_have_dyslipidemia_no = c("no"),
  label_have_dyslipidemia_yes = c("yes"),
  label_have_dyslipidemia_unknown = c(NA, NaN),
  label_have_smoking_history_no = c("no"),
  label_have_smoking_history_yes = c("yes"),
  label_have_smoking_history_unknown = c(NA, NaN)
)

Arguments

age

Input numeric value to indicate the age of the patient in years.

sex

The value of variable in the parameters label_sex_male, label_sex_female and label_sex_unknown.

chest_pain_type

The value of variable in the parameters, label_cpt_nonanginal, label_cpt_atypical, label_cpt_typical and label_cpt_unknown.

have_diabetes

The value of variable in the parameters label_have_diabetes_no, label_have_diabetes_yes and label_have_diabetes_unknown.

have_hypertension

The value of variable in the parameters label_have_hypertension_no, label_have_hypertension_yes and label_have_hypertension_unknown.

have_dyslipidemia

The value of variable in the parameters label_have_dyslipidemia_no, label_have_dyslipidemia_yes and label_have_dyslipidemia_unknown.

have_smoking_history

The value of variable in the parameters label_have_smoking_history_no, label_have_smoking_history_yes and label_have_smoking_history_unknown.

coronary_calcium_score

Input non-negative numeric to indicate the total coronary calcium score of the patient.

label_sex_male

Label(s) for definition(s) of male sex. Default: c("male")

label_sex_female

Label(s) for definition(s) of female sex. Default: c("female")

label_sex_unknown

Label(s) for definition(s) of missing sex. Default: c(NA, NaN)

label_cpt_nonanginal

Label(s) for patient having nonanginal or non-specific chest pain. Default: c("nonanginal")

label_cpt_atypical

Label(s) for patient having atypical chest pain. Default: c("atypical")

label_cpt_typical

Label(s) for patient having typical chest pain. Default: c("typical")

label_cpt_unknown

Label(s) for patient having unknown chest pain type symptoms. Default: c(NA, NaN)

label_have_diabetes_no

Label(s) for patient with no diabetes. Default: c("no")

label_have_diabetes_yes

Label(s) for patient having diabetes. Default: c("yes")

label_have_diabetes_unknown

Label(s) for patient having unknown diabetes. Default: c(NA, NaN)

label_have_hypertension_no

Label(s) for patient with no hypertension. Default: c("no")

label_have_hypertension_yes

Label(s) for patient having hypertension. Default: c("yes")

label_have_hypertension_unknown

Label(s) for patient having unknown hypertension. Default: c(NA, NaN)

label_have_dyslipidemia_no

Label(s) for patient with no dyslipidemia. Default: c("no")

label_have_dyslipidemia_yes

Label(s) for patient having dyslipidemia. Default: c("yes")

label_have_dyslipidemia_unknown

Label(s) for patient having unknown dyslipidemia. Default: c(NA, NaN)

label_have_smoking_history_no

Label(s) for patient with no smoking history (current or past). Default: c("no")

label_have_smoking_history_yes

Label(s) for patient having smoking history (current or past). Default: c("yes")

label_have_smoking_history_unknown

Label(s) for patient having unknown smoking history (current or past). Default: c(NA, NaN)

Value

A numeric value representing the patient's PTP for obstructive CAD based on the 2022 Local Assessment of the Heart (LAH) extended model.

Details

The predictive model is based on patients a mixed Asian cohort within Singapore with stable chest pain.

Examples

# 40 year old female with typical chest pain,
# diabetes but no hypertension, dyslipidemia,
# a non-smoker and a coronary calcium score of 0
calculate_lah_2022_extended_ptp(
    age = 40,
    sex = "female",
    chest_pain_type = "typical",
    have_diabetes = "yes",
    have_hypertension = "no",
    have_dyslipidemia = "no",
    have_smoking_history = "no",
    coronary_calcium_score = 0

)
#> [1] 0.01623848