calculate_reeh_2019_clinical_ptp {pretestcad} | R Documentation |
Calculate 2019 Reeh Clinical PTP for obstructive CAD
Description
This function returns a patient's pre-test probability (PTP) of obstructive coronary artery disease based on the 2019 Reeh et. al. clinical model.
Usage
calculate_reeh_2019_clinical_ptp(
age,
sex,
symptom_type,
have_dyslipidemia,
have_family_history,
have_diabetes
)
Arguments
age |
Input integer value to indicate the age of the patient. |
sex |
Input characters (female, male) to indicate the sex of the patient.
|
symptom_type |
Input characters (typical, atypical, nonanginal, dyspnoea) to indicate the symptom characteristics of the patient.
|
have_dyslipidemia |
Input characters (no, yes) to indicate if the patient has dyslipidemia.
|
have_family_history |
Input characters (no, yes) to indicate if the patient has a family history of CAD.
|
have_diabetes |
Input characters (no, yes) to indicate if the patient has diabetes.
|
Details
The predictive model is based on 3903 patients free of CAD and heart failure and suspected of angina, who were referred to a single, large, urban university hospital for assessment in 2012–15.
Value
A numeric value representing the patient's PTP for obstructive CAD based on the 2019 Reeh et. al. clinical model.
Examples
# 40 year old female with typical chest pain
calculate_reeh_2019_clinical_ptp(
age = 40,
sex = "female",
symptom_type = "typical",
have_dyslipidemia = "no",
have_family_history = "no",
have_diabetes = "no"
)