Generate the cardiovascular organ system dysfunction score as part of the diagnostic Phoenix Sepsis Criteria.
Usage
phoenix_cardiovascular(
vasoactives = NA_integer_,
lactate = NA_real_,
age = NA_real_,
map = NA_real_,
data = parent.frame(),
...
)
Arguments
- vasoactives
an integer vector, the number of systemic vasoactive medications being administered to the patient. Six vasoactive medications are considered: dobutamine, dopamine, epinephrine, milrinone, norepinephrine, vasopressin.
- lactate
numeric vector with the lactate value in mmol/L
- age
numeric vector age in months
- map
numeric vector, mean arterial pressure in mmHg
- data
a
list
,data.frame
, orenvironment
containing the input vectors- ...
pass through
Value
a integer vector with values 0, 1, 2, 3, 4, 5, or 6.
As with all other Phoenix organ system scores, missing values in the data set will map to a score of zero - this is consistent with the development of the criteria.
Details
There where six systemic vasoactive medications considered when the Phoenix criteria was developed: dobutamine, dopamine, epinephrine, milrinone, norepinephrine, and vasopressin.
During development, the values used for map
were taken preferentially
from arterial measurement, then cuff measures, and provided values before
approximating the map from blood pressure values via DBP + 1/3 (SBP - DBP),
where DBP is the diastolic blood pressure and SBP is the systolic blood
pressure.
Phoenix Cardiovascular Scoring
The Phoenix Cardiovascular score ranges from 0 to 6 points; 0, 1, or 2 points for each of systolic vasoactive medications, lactate, and MAP.
Systemic Vasoactive Medications
0 medications | 0 points |
1 medication | 1 point |
2 or more medications | 2 points |
Lactate
[0, 5) | 0 points |
[5, 11) | 1 point |
[11, Inf) | 2 points |
MAP
Age in [0, 1) months | ||
[31, Inf) mmHg | 0 points | |
[17, 31) mmHg | 1 point | |
[0, 17) mmHg | 2 points | |
Age in [1, 12) months | ||
[39, Inf) mmHg | 0 points | |
[25, 39) mmHg | 1 point | |
[0, 25) mmHg | 2 points | |
Age in [12, 24) months | ||
[44, Inf) mmHg | 0 points | |
[31, 44) mmHg | 1 point | |
[0, 31) mmHg | 2 points | |
Age in [24, 60) months | ||
[45, Inf) mmHg | 0 points | |
[32, 45) mmHg | 1 point | |
[0, 32) mmHg | 2 points | |
Age in [60, 144) months | ||
[49, Inf) mmHg | 0 points | |
[36, 49) mmHg | 1 point | |
[0, 36) mmHg | 2 points | |
Age in [144, 216] months | ||
[52, Inf) mmHg | 0 points | |
[38, 52) mmHg | 1 point | |
[0, 38) mmHg | 2 points |
References
See reference details in phoenix-package
or by calling
citation('phoenix')
.
See also
phoenix
for generating the diagnostic Phoenix Sepsis score based on the four organ systems:phoenix_cardiovascular
,
phoenix8
for generating the diagnostic Phoenix 8 Sepsis criteria based on the four organ systems noted above and
vignette('phoenix')
for more details and examples.
Examples
# using the example sepsis data set
phoenix_cardiovascular(
vasoactives = dobutamine + dopamine + epinephrine + milrinone + norepinephrine + vasopressin,
lactate = lactate,
age = age,
map = dbp + (sbp - dbp)/3,
data = sepsis
)
#> [1] 2 2 1 0 0 1 4 0 3 0 3 0 0 2 3 2 2 2 2 1
# example data set to get all the possible scores
DF <-
expand.grid(vasos = c(NA, 0:6),
lactate = c(NA, 3.2, 5, 7.8, 11, 14),
age = c(NA, 0.4, 1, 3, 12, 18, 24, 45, 60, 61, 144, 145),
map = c(NA, 16:52))
DF$card <- phoenix_cardiovascular(vasos, lactate, age, map, DF)
head(DF)
#> vasos lactate age map card
#> 1 NA NA NA NA 0
#> 2 0 NA NA NA 0
#> 3 1 NA NA NA 1
#> 4 2 NA NA NA 2
#> 5 3 NA NA NA 2
#> 6 4 NA NA NA 2
# what if lactate is unknown for all records? - set the value either in the
# data object or the arguement value to NA
DF2 <-
expand.grid(vasos = c(NA, 0:6),
age = c(NA, 0.4, 1, 3, 12, 18, 24, 45, 60, 61, 144, 145),
map = c(NA, 16:52))
DF2$card <- phoenix_cardiovascular(vasos, lactate = NA, age, map, DF2)
DF3 <-
expand.grid(vasos = c(NA, 0:6),
lactate = NA,
age = c(NA, 0.4, 1, 3, 12, 18, 24, 45, 60, 61, 144, 145),
map = c(NA, 16:52))
DF3$card <- phoenix_cardiovascular(vasos, lactate, age, map, DF3)
identical(DF2$card, DF3$card)
#> [1] TRUE