
Calculate 2020 Winther CACS-CL PTP model for obstructive CAD
Source:R/winther_ptp.R
      calculate_winther_2020_cacs_cl_ptp.RdThis function returns a patient's pre-test probability (PTP) of obstructive coronary artery disease based on 2020 Winther et. al. Coronary Artery Calcium Score-Weighted Clinical Likelihood (CACS-CL) model.
Usage
calculate_winther_2020_cacs_cl_ptp(
  age,
  sex,
  chest_pain_type,
  have_dyspnoea,
  have_family_history,
  have_smoking_history,
  have_dyslipidemia,
  have_hypertension,
  have_diabetes,
  coronary_calcium_score,
  allow_na_symptom_score = TRUE,
  max_na_num_of_rf = 0,
  label_sex_male = c("male"),
  label_sex_female = c("female"),
  label_sex_unknown = c(NA, NaN),
  label_have_dyspnoea_no = c("no"),
  label_have_dyspnoea_yes = c("yes"),
  label_have_dyspnoea_unknown = c(NA, NaN),
  label_cpt_no_chest_pain = c("no chest pain"),
  label_cpt_nonanginal = c("nonanginal"),
  label_cpt_atypical = c("atypical"),
  label_cpt_typical = c("typical"),
  label_cpt_unknown = c(NA, NaN),
  label_have_family_history_no = c("no"),
  label_have_family_history_yes = c("yes"),
  label_have_family_history_unknown = c(NA, NaN),
  label_have_smoking_history_no = c("no"),
  label_have_smoking_history_yes = c("yes"),
  label_have_smoking_history_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_hypertension_no = c("no"),
  label_have_hypertension_yes = c("yes"),
  label_have_hypertension_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_femaleand- label_sex_unknown.
- chest_pain_type
- The value of variable in the parameters - label_cpt_no_chest_pain,- label_cpt_nonanginal,- label_cpt_atypical,- label_cpt_typicaland- label_cpt_unknown.
- have_dyspnoea
- The value of variable in the parameters - label_have_dyspnoea_no,- label_have_dyspnoea_yesand- label_have_dyspnoea_unknown.
- have_family_history
- The value of variable in the parameters - label_have_family_history_no,- label_have_family_history_yesand- label_have_family_history_unknown.
- have_smoking_history
- The value of variable in the parameters - label_have_smoking_history_no,- label_have_smoking_history_yesand- label_have_smoking_history_unknown.
- have_dyslipidemia
- The value of variable in the parameters - label_have_dyslipidemia_no,- label_have_dyslipidemia_yesand- label_have_dyslipidemia_unknown.
- have_hypertension
- The value of variable in the parameters - label_have_hypertension_no,- label_have_hypertension_yesand- label_have_hypertension_unknown.
- have_diabetes
- The value of variable in the parameters - label_have_diabetes_no,- label_have_diabetes_yesand- label_have_diabetes_unknown.
- coronary_calcium_score
- Input non-negative numeric to indicate the total coronary calcium score of the patient. 
- allow_na_symptom_score
- A logical evaluating to - TRUEor- FALSEindicating whether we can allow- chest_pain_typeor- have_dyspnoeato be- NAwhen calculating the score
- max_na_num_of_rf
- Input integer 0 to 5 to indicate the maximum number of missing risk factors to tolerate before outputting an - NA. Default: 0
- 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_dyspnoea_no
- Label(s) for patient having no dyspnoea symptoms. Default: - c("no")
- label_have_dyspnoea_yes
- Label(s) for patient having dyspnoea symptoms. Default: - c("yes")
- label_have_dyspnoea_unknown
- Label(s) for patient having unknown dyspnoea symptoms. Default: - c(NA, NaN)
- label_cpt_no_chest_pain
- Label(s) for patient having no chest pain. Default: - c("no chest pain")
- 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)
- label_have_family_history_no
- Label(s) for patient with no family history of CAD. Default: - c("no")
- label_have_family_history_yes
- Label(s) for patient having family history of CAD. Default: - c("yes")
- label_have_family_history_unknown
- Label(s) for patient having unknown family history of CAD. Default: - c(NA, NaN)
- label_have_smoking_history_no
- Label(s) for patient with no smoking history (current or past). Default: - c("no")
- label_have_smoking_history_yes
- Label(s) for patient having smoking history (current or past). Default: - c("yes")
- label_have_smoking_history_unknown
- Label(s) for patient having unknown smoking history (current or past). 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_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_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 2020 Winther et. al. Coronary Artery Calcium Score-Weighted Clinical Likelihood (CACS-CL) model.
Details
The predictive model is based on > 40000 symptomatic patients from 2008 to 2017 from 13 hospitals in Western Denmark. These patients are registered under the Western Denmark Heart Registry.
Examples
# 40 year old Male with nonanginal chest pain and coronary calcium score of 0
calculate_winther_2020_cacs_cl_ptp(
    age = 40,
    sex = "male",
    chest_pain_type = "no chest pain",
    have_dyspnoea = "no",
    have_family_history = "no",
    have_smoking_history = "no",
    have_dyslipidemia = "no",
    have_hypertension = "no",
    have_diabetes = "no",
    coronary_calcium_score = 0,
    allow_na_symptom_score = TRUE,
    max_na_num_of_rf = 0
)
#> [1] 0.004159686