Calculate 2021 PRECISE Clinical PTP for obstructive CAD

This function returns a patient's pre-test probability (PTP) of obstructive coronary artery disease based on the 2021 Predictive Risk scorE for CAD In Southeast Asians with chEst pain (PRECISE) clinical model.

Usage

calculate_precise_2021_clinical_ptp(
  age,
  sex,
  chest_pain_type,
  have_neck_radiation,
  have_diabetes,
  have_hypertension,
  smoking_history_type,
  have_q_waves,
  have_st_t_changes,
  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_neck_radiation_no = c("no"),
  label_have_neck_radiation_yes = c("yes"),
  label_have_neck_radiation_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_smoking_history_type_current = c("current"),
  label_smoking_history_type_past = c("past"),
  label_smoking_history_type_none = c("none"),
  label_smoking_history_type_unknown = c(NA, NaN),
  label_have_q_waves_no = c("no"),
  label_have_q_waves_yes = c("yes"),
  label_have_q_waves_unknown = c(NA, NaN),
  label_have_st_t_changes_no = c("no"),
  label_have_st_t_changes_yes = c("yes"),
  label_have_st_t_changes_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_neck_radiation

The value of variable in the parameters label_have_neck_radiation_no, label_have_neck_radiation_yes and label_have_neck_radiation_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.

smoking_history_type

The value of variable in the parameters label_smoking_history_type_current, label_smoking_history_type_past, label_smoking_history_type_none and label_smoking_history_type_unknown

have_q_waves

The value of variable in the parameters label_have_q_waves_no, label_have_q_waves_yes and label_have_q_waves_unknown.

have_st_t_changes

The value of variable in the parameters label_have_st_t_changes_no, label_have_st_t_changes_yes and label_have_st_t_changes_unknown.

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_neck_radiation_no

Label(s) for patient without chest pain radiating to the neck. Default: c("no")

label_have_neck_radiation_yes

Label(s) for patient with chest pain radiating to the neck. Default: c("yes")

label_have_neck_radiation_unknown

Label(s) for patient with unknown chest pain radiating to the neck 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_smoking_history_type_current

Label(s) for patient who is a current smoker. Default: c("current")

label_smoking_history_type_past

Label(s) for patient who is a past smoker. Default: c("past")

label_smoking_history_type_none

Label(s) for patient who is a non-smoker. Default: c("none")

label_smoking_history_type_unknown

Label(s) for patient with unknown smoking history. Default: c(NA, NaN)

label_have_q_waves_no

Label(s) for patient not having Q waves on ECG. Default: c("no")

label_have_q_waves_yes

Label(s) for patient having Q waves on ECG. Default: c("yes")

label_have_q_waves_unknown

Label(s) for patient with unknown Q waves on ECG. Default: c(NA, NaN)

label_have_st_t_changes_no

Label(s) for patient not having ST-T changes on ECG. Default: c("no")

label_have_st_t_changes_yes

Label(s) for patient having ST-T changes on ECG. Default: c("yes")

label_have_st_t_changes_unknown

Label(s) for patient with unknown ST-T changes on ECG. Default: c(NA, NaN)

Value

A numeric value representing the patient's PTP for obstructive CAD based on the 2021 Predictive Risk scorE for CAD In Southeast Asians with chEst pain (PRECISE) clinical 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
# radiating to the neck, has diabetes
# but no hypertension and a non-smoker.
# She has Q waves but no ST-T changes on ECG.

calculate_precise_2021_clinical_ptp(
    age = 40,
    sex = "female",
    chest_pain_type = "typical",
    have_neck_radiation = "yes",
    have_diabetes = "yes",
    have_hypertension = "no",
    smoking_history_type = "none",
    have_q_waves = "yes",
    have_st_t_changes = "no"
)
#> [1] 0.2233933