calculate_confirm_2015_ptp {pretestcad} | R Documentation |
Calculate 2015 CONFIRM Risk Score for obstructive CAD
Description
This function returns a patient's risk score for obstructive coronary artery disease based on the 2015 CONFIRM Risk Score.
Usage
calculate_confirm_2015_ptp(
age,
sex,
have_typical_chest_pain,
have_diabetes,
have_hypertension,
have_family_history,
is_current_smoker,
max_na_num_of_rf = 0,
output = c("text", "percentage")
)
Arguments
age |
Input numeric value to indicate the age of the patient. |
sex |
Input characters (female, male) to indicate the sex of the patient.
|
have_typical_chest_pain |
Input characters (no, yes) to indicate if the patient has typical chest pain.
|
have_diabetes |
Input characters (no, yes) to indicate if the patient only has diabetes.
|
have_hypertension |
Input characters (no, yes) to indicate if the patient only has hypertension.
|
have_family_history |
Input characters (no, yes) to indicate if the patient only has a family history of CAD.
|
is_current_smoker |
Input characters (no, yes) to indicate if the patient is a current smoker.
|
max_na_num_of_rf |
Input integer 0 to 5 to indicate the maximum number of
missing risk factors to tolerate before outputting an |
output |
Input text to indicate the how pre-test probability results be expressed Default: c("text", "percentage")
|
Details
The predictive model is based on CCTA images from 9093 patients from Phase I of the Coronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter (CONFIRM) registry.
Value
A numeric value representing the patient's risk score for obstructive CAD based on the 2015 CONFIRM Risk Score.
Examples
# 30 years old male current smoker with typical chest pain
calculate_confirm_2015_ptp(
age = 30,
sex = "male",
have_typical_chest_pain = "yes",
have_diabetes = "no",
have_hypertension = "no",
have_family_history = "no",
is_current_smoker = "yes",
max_na_num_of_rf = 0,
output = "percentage"
)