Calculate 2018 Chen MFS PTP (figure 3 version) for obstructive CAD — calculate_chen_2018_mfs_fig_3

This function returns a patient's pre-test probability (PTP) of obstructive coronary artery disease (CAD) based on the 2018 Chen et. al. modified Framingham scoring (MFS) model. Obstructive CAD was defined as (\(\geq\)50% stenosis by diameter in at least one major coronary vessel based on coronary angiography)

Usage

calculate_chen_2018_mfs_fig_3_ptp(
  age,
  sex,
  have_hypertension,
  tc_mg_dl,
  hdl_mg_dl,
  lvef_percent,
  hsCRP_mg_dl,
  have_anemia,
  output = c("risk_group", "risk_numeric", "risk_percentage", "mfs_points"),
  label_sex_male = c("male"),
  label_sex_female = c("female"),
  label_sex_unknown = c(NA, NaN),
  label_have_hypertension_no = c("no"),
  label_have_hypertension_yes = c("yes"),
  label_have_hypertension_unknown = c(NA, NaN),
  label_have_anemia_no = c("no"),
  label_have_anemia_yes = c("yes"),
  label_have_anemia_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 and label_sex_unknown.

have_hypertension

The value of variable in the parameters label_have_hypertension_no,
label_have_hypertension_yes, and label_have_hypertension_unknown.

tc_mg_dl

Input positive integer value to indicate the patient's total cholesterol in \(mg/dL\).

hdl_mg_dl

Input positive numeric value to indicate the patient's high-density lipoprotein (HDL) in \(mg/dL\).

lvef_percent

Input positive integer value to indicate the patient's Left Ventricular Ejection Fraction (LVEF) in \(\%\)

hsCRP_mg_dl

Input positive integer value to indicate the patient's high-sensitivity C reactive protein (hs-CRP) in \(mg/dL\).

have_anemia

The value of variable in the parameters label_have_anemia_no,
label_have_anemia_yes, and
label_have_anemia_unknown.

output

Input text to indicate the how pre-test probability results be expressed Default: c("risk_group", "risk_numeric", "risk_percentage", "mfs_points")

risk_group means the PTP will be expressed as Low, Moderate, High and Very High.
- low risk score if MFS is \(\leq\) 17.
- moderate risk score if MFS is in between 18 to 26.
- high risk score if MFS is in between 27 to 41.
- very high risk score if MFS is \(\geq\) 42.
risk_numeric means the PTP will be expressed as an integer probability (0-100).
risk_percentage means the PTP will be expressed as percentage text (0-100%).
mfs_points means the total risk points as calculated in figure 3. This value will be later converted to risk of obstructive CAD risk_numeric based on the table presented in figure 3.

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_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_have_anemia_no

Label(s) for patient without anemia. Default: c("no")

label_have_anemia_yes

Label(s) for patient with anemia. The paper uses baseline hematocrit value <39% for men and <36% for women. Default: c("yes")

label_have_anemia_unknown

Label(s) for patient with no information if they have anemia or not. Default: c(NA, NaN)

Value

An integer, percentage or category representing the patient's risk points or PTP for obstructive CAD based on 2018 Chen et. al. predicted risk if obstructive CAD defined as stenosis \(\geq\) 50% in any vessel.. See parameter option output for more information.

Details

The predictive model is based on patients from a prospective observational study Predictive Value of Contrast Volume to Creatinine Clearance Ratio (PRECOMIN) conducted primarily at Guangdong General Hospital.

Examples

# 40 year old female with no hypertension
# and anemia. She has a
# total cholesterol level of 150 mg/dL
# high-density lipoprotein cholesterol level of 70 mg/dL and
# high-sensitivity C reactive protein level of 1 mg/dL with
# a left Ventricular Ejection Fraction reading of 60%
calculate_chen_2018_mfs_fig_3_ptp(
    age = 40,
    sex = "female",
    have_hypertension = "no",
    tc_mg_dl = 150,
    hdl_mg_dl = 70,
    lvef_percent = 60,
    hsCRP_mg_dl = 1,
    have_anemia = "no",
    output = "risk_percentage"
)
#> [1] "16%"