EDACS_scores {RiskScorescvd}

EDACS score function EDACS = Emergency Department Assessment of Chest Pain Score

Description

This function allows you to calculate the EDACS score row wise in a data frame with the required variables. It would then retrieve a data frame with two extra columns including the calculations and their classifications

Usage

EDACS_scores(
  data,
  Age = Age,
  Gender = Gender,
  diabetes = diabetes,
  smoker = smoker,
  hypertension = hypertension,
  hyperlipidaemia = hyperlipidaemia,
  family.history = family.history,
  sweating = sweating,
  pain.radiation = pain.radiation,
  pleuritic = pleuritic,
  palpation = palpation,
  ecg.st.depression = ecg.st.depression,
  ecg.twi = ecg.twi,
  presentation_hstni = presentation_hstni,
  second_hstni = second_hstni,
  classify
)

Arguments

data

A data frame with all the variables needed for calculation: Age, Gender, diabetes, smoker, hypertension, hyperlipidaemia, family.history, sweating, pain.radiation, pleuritic, palpation, ecg.st.depression, ecg.twi, presentation_hstni, second_hstni, classify

Age

a numeric vector of age values, in years

Gender

a binary character vector of sex values. Categories should include only 'male' or 'female'

diabetes

a binary numeric vector, 1 = yes and 0 = no

smoker

a binary numeric vector, 1 = yes and 0 = no

hypertension

a binary numeric vector, 1 = yes and 0 = no

hyperlipidaemia

a binary numeric vector, 1 = yes and 0 = no

family.history

a binary numeric vector, 1 = yes and 0 = no

sweating

a binary numeric vector, 1 = yes and 0 = no

pain.radiation

a binary numeric vector, 1 = yes and 0 = no

pleuritic

a binary numeric vector, 1 = yes and 0 = no

palpation

a binary numeric vector, 1 = yes and 0 = no

ecg.st.depression

a binary numeric vector, 1 = yes and 0 = no

ecg.twi

a binary numeric vector, 1 = yes and 0 = no

presentation_hstni

a continuous numeric vector of the troponin levels

second_hstni

a binary numeric vector, 1 = yes and 0 = no

classify

a logical parameter to indicate classification of Scores "TRUE" or none "FALSE"

Value

data frame with two extra columns including the 'EDACS_score' calculations and their classifications, 'EDACS_strat'

Examples

# Create a data frame or list with the necessary variables
# Set the number of rows
num_rows <- 100

# Create a larger dataset with 100 rows
cohort_xx <- data.frame(
  typical_symptoms.num = as.numeric(sample(0:6, num_rows, replace = TRUE)),
  ecg.normal = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  abn.repolarisation = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  ecg.st.depression = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  Age = as.numeric(sample(30:80, num_rows, replace = TRUE)),
  diabetes = sample(c(1, 0), num_rows, replace = TRUE),
  smoker = sample(c(1, 0), num_rows, replace = TRUE),
  hypertension = sample(c(1, 0), num_rows, replace = TRUE),
  hyperlipidaemia = sample(c(1, 0), num_rows, replace = TRUE),
  family.history = sample(c(1, 0), num_rows, replace = TRUE),
  atherosclerotic.disease = sample(c(1, 0), num_rows, replace = TRUE),
  presentation_hstni = as.numeric(sample(10:100, num_rows, replace = TRUE)),
  Gender = sample(c("male", "female"), num_rows, replace = TRUE),
  sweating = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  pain.radiation = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  pleuritic = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  palpation = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  ecg.twi = as.numeric(sample(c(0, 1), num_rows, replace = TRUE)),
  second_hstni = as.numeric(sample(1:200, num_rows, replace = TRUE))
)

# Call the function with the cohort_xx

result <- EDACS_scores(data = cohort_xx, classify = TRUE)
summary(result$EDACS_strat)
summary(result$EDACS_score)