
Calculate ACCF/AHA/ACP/AATS/PCNA/SCAI/STS 2012 PTP for obstructive CAD
Source:R/aha_2012_conference_ptp.R
calculate_aha_2012_tbl_9_ptp.Rd
This function returns a patient's pre-test Probability (PTP) of obstructive coronary artery disease (CAD) based on the American College of Cardiology Foundation, American Heart Association, American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons 2012 guidelines.
Usage
calculate_aha_2012_tbl_9_ptp(
age,
sex,
chest_pain_type,
output = c("numeric", "percentage"),
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)
)
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
andlabel_sex_unknown
.- chest_pain_type
The value of variable in the parameters,
label_cpt_nonanginal
,label_cpt_atypical
,label_cpt_typical
andlabel_cpt_unknown
.- output
Input text to indicate the how pre-test probability results be expressed Default: c("numeric", "percentage")
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_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)
Value
An integer or percentage representing the patient's PTP for obstructive CAD based on the ACCF/AHA/ACP/AATS/PCNA/SCAI/STS 2012 guidelines.
Details
The predictive model used to create the guidelines are based on patients from the Diamond and Forrester and the Coronary Artery Surgery Study.
Examples
# 35 year old female with typical chest pain
calculate_aha_2012_tbl_9_ptp(
age = 35,
sex = "female",
chest_pain_type = "typical",
output = "percentage"
)
#> [1] "26%"
# 65 year old male with nonanginal chest pain
calculate_aha_2012_tbl_9_ptp(
age = 65,
sex = "male",
chest_pain_type = "nonanginal",
output = "percentage"
)
#> [1] "27%"