A simulated dataset containing patient demographics, risk factors, and serial high-sensitivity cardiac troponin measurements at 0, 3, and 6 hours. Includes myocardial infarction (MI) status for diagnostic research.
Usage
data(cardiac_troponin_data)Format
A data frame with 500 rows and 11 variables:
- patient_id
Integer. Unique patient identifier.
- age
Integer. Patient's age in years.
- sex
Character. Sex of the patient (e.g., "Male", "Female").
- hs_troponin_0h
Numeric. High-sensitivity cardiac troponin level at baseline (0 hours).
- hs_troponin_3h
Numeric. High-sensitivity cardiac troponin level at 3 hours.
- hs_troponin_6h
Numeric. High-sensitivity cardiac troponin level at 6 hours.
- delta_troponin
Numeric. Change in troponin levels, possibly between 0h and 3h or 0h and 6h.
- diabetes
Character. Diabetes status (e.g., "Yes", "No").
- hypertension
Character. Hypertension status (e.g., "Yes", "No").
- smoking
Character. Smoking status (e.g., "Yes", "No").
- mi_status
Character. Myocardial infarction status (e.g., "MI", "No MI").
Examples
data(cardiac_troponin_data)
str(cardiac_troponin_data)
#> 'data.frame': 500 obs. of 11 variables:
#> $ patient_id : int 1 2 3 4 5 6 7 8 9 10 ...
#> $ age : int 63 34 30 54 65 57 67 60 60 75 ...
#> $ sex : chr "Female" "Female" "Male" "Male" ...
#> $ hs_troponin_0h: num 1.8 0 5.3 22.2 0 4.9 0.4 13.2 0.4 1.5 ...
#> $ hs_troponin_3h: num 2 0.1 5.9 24.2 0 5.1 0.4 12.7 0.5 1.6 ...
#> $ hs_troponin_6h: num 2 0.1 5.8 24.5 0 4.9 0.4 13 0.5 1.6 ...
#> $ delta_troponin: num 0.2 0 0.6 2 0 0.2 0 -0.5 0.1 0.1 ...
#> $ diabetes : chr "Yes" "No" "No" "Yes" ...
#> $ hypertension : chr "Yes" "Yes" "No" "Yes" ...
#> $ smoking : chr "No" "No" "No" "Yes" ...
#> $ mi_status : chr "No MI" "No MI" "No MI" "No MI" ...
head(cardiac_troponin_data)
#> patient_id age sex hs_troponin_0h hs_troponin_3h hs_troponin_6h
#> 1 1 63 Female 1.8 2.0 2.0
#> 2 2 34 Female 0.0 0.1 0.1
#> 3 3 30 Male 5.3 5.9 5.8
#> 4 4 54 Male 22.2 24.2 24.5
#> 5 5 65 Male 0.0 0.0 0.0
#> 6 6 57 Female 4.9 5.1 4.9
#> delta_troponin diabetes hypertension smoking mi_status
#> 1 0.2 Yes Yes No No MI
#> 2 0.0 No Yes No No MI
#> 3 0.6 No No No No MI
#> 4 2.0 Yes Yes Yes No MI
#> 5 0.0 No Yes No No MI
#> 6 0.2 No Yes No No MI
summary(cardiac_troponin_data$hs_troponin_0h)
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 0.00 0.60 3.55 35.24 12.57 636.40
table(cardiac_troponin_data$mi_status)
#>
#> MI No MI
#> 82 418