# https://github.com/r-lib/pkgdown/issues/2704

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Calculate ESC 2024 PTP for obstructive CAD

Source: R/esc_2024_conference_ptp.R
calculate_esc_2024_fig_4_ptp.Rd

This function returns a patient's pre-test Probability (PTP) of obstructive coronary artery disease (CAD) based on the European Society of Cardiology (ESC) 2024 guidelines.

Usage

calculate_esc_2024_fig_4_ptp(
  age,
  sex,
  chest_pain_type,
  have_dyspnoea,
  have_family_history,
  have_smoking_history,
  have_dyslipidemia,
  have_hypertension,
  have_diabetes,
  allow_na_symptom_score = TRUE,
  max_na_num_of_rf = 0,
  output = c("grouping", "numeric", "percentage"),
  label_sex_male = c("male"),
  label_sex_female = c("female"),
  label_sex_unknown = c(NA, NaN),
  label_have_dyspnoea_no = c("no"),
  label_have_dyspnoea_yes = c("yes"),
  label_have_dyspnoea_unknown = c(NA, NaN),
  label_cpt_no_chest_pain = c("no chest pain"),
  label_cpt_nonanginal = c("nonanginal"),
  label_cpt_atypical = c("atypical"),
  label_cpt_typical = c("typical"),
  label_cpt_unknown = c(NA, NaN),
  label_have_family_history_no = c("no"),
  label_have_family_history_yes = c("yes"),
  label_have_family_history_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),
  label_have_dyslipidemia_no = c("no"),
  label_have_dyslipidemia_yes = c("yes"),
  label_have_dyslipidemia_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_diabetes_no = c("no"),
  label_have_diabetes_yes = c("yes"),
  label_have_diabetes_unknown = c(NA, NaN)
)

Arguments

age

Input integer 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_no_chest_pain, label_cpt_nonanginal, label_cpt_atypical, label_cpt_typical and label_cpt_unknown.

have_dyspnoea

The value of variable in the parameters label_have_dyspnoea_no, label_have_dyspnoea_yes and label_have_dyspnoea_unknown.

have_family_history

The value of variable in the parameters label_have_family_history_no, label_have_family_history_yes and label_have_family_history_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.

have_dyslipidemia

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

have_hypertension

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

have_diabetes

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

allow_na_symptom_score

A logical evaluating to TRUE or FALSE indicating whether we can allow chest_pain_type or have_dyspnoea to be NA when calculating the score

max_na_num_of_rf

Input integer 0 to 5 to indicate the maximum number of missing risk factors to tolerate before outputting an NA. Default: 0

output

Input text to indicate the how pre-test probability results be expressed Default: c("grouping", "numeric", "percentage")

  • grouping means the PTP will be expressed as Low, Intermediate and High.

    • very low if PTP is less than or equal to 5%.

    • low if PTP is in between 6% to 15%.

    • moderate if PTP is more than 15%.

  • numeric means the PTP will be expressed as an integer probability (0-100).

  • percentage means the PTP will be expressed as percentage text (0-100%).

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_have_dyspnoea_no

Label(s) for patient having no dyspnoea symptoms. Default: c("no")

label_have_dyspnoea_yes

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

label_have_dyspnoea_unknown

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

label_cpt_no_chest_pain

Label(s) for patient having no chest pain. Default: c("no chest pain")

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_family_history_no

Label(s) for patient with no family history of CAD. Default: c("no")

label_have_family_history_yes

Label(s) for patient having family history of CAD. Default: c("yes")

label_have_family_history_unknown

Label(s) for patient having unknown family history of CAD. 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)

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_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_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)

Value

An integer, percentage or category representing the patient's PTP for obstructive CAD based on the ESC 2024 guidelines. See parameter option output for more information.

Examples

# 30 female with symptom score of 0 and 0 risk factors
calculate_esc_2024_fig_4_ptp(
  age = 30,
  sex = "female",
  chest_pain_type = "no chest pain",
  have_dyspnoea = "no",
  have_family_history = "no",
  have_smoking_history = "no",
  have_dyslipidemia = "no",
  have_hypertension = "no",
  have_diabetes = "no",
  allow_na_symptom_score = TRUE,
  max_na_num_of_rf = 0,
  output = "percentage"
)
#> [1] "0%"