Calculate 2025 Zuo PREDICT-OCAD PTP for obstructive CAD

This function returns a patient's pre-test probability (PTP) of obstructive coronary artery disease (CAD) based on the 2025 Zuo et. al. PREDICT-OCAD model. Obstructive CAD was defined as \(\geq\)50% stenosis on CCTA.

Usage

calculate_zuo_2025_predict_ocad_ptp(
  age,
  sex,
  have_dyslipidemia,
  have_diabetes,
  coronary_calcium_score,
  label_sex_male = c("male"),
  label_sex_female = c("female"),
  label_sex_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_diabetes_no = c("no"),
  label_have_diabetes_yes = c("yes"),
  label_have_diabetes_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.

have_dyslipidemia

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

have_diabetes

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

coronary_calcium_score

Input non-negative integer to indicate the total coronary calcium score of the patient.

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_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_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

A numeric value representing the patient's PTP for obstructive CAD based on the 2025 Zuo et. al. PREDICT-OCAD model.

Details

The predictive model is based on 2649 patients suspected of CAD at Jinling Hospital, Nanjing University (Jiangsu, China), spanning from January 2010 to December 2020.

Model formula used is taken from the web-based calculator.

It is of the form $$\frac{1}{(1 + e^{-F(x)})}$$ where \(F(x)\) equals $$ \begin{array}{l} -4.336859\quad+ \\\\ (-0.422110 * sex\_is\_female)\quad+ \\\\ (0.029603 * age)\quad+ \\\\ (-0.539890 * no\_dyslipidemia)\quad+ \\\\ (-0.210570 * no\_diabetes)\quad+ \\\\ (1.925711 * cacs\_1\_to\_100)\quad+ \\\\ (3.362762 * cacs\_101\_to\_400)\quad+ \\\\ (4.377606 * cacs\_more\_than\_400) \end{array} $$

Examples

# 40 year old female without dyslipidemia and diabetes
# with coronary calcium score of 0
calculate_zuo_2025_predict_ocad_ptp(
    age = 40,
    sex = "female",
    have_dyslipidemia = "no",
    have_diabetes = "no",
    coronary_calcium_score = 0
)
#> [1] 0.01305673