Applies the Phoenix coagulation organ dysfunction scoring to a set of inputs.
Usage
phoenix_coagulation(
platelets = NA_real_,
inr = NA_real_,
d_dimer = NA_real_,
fibrinogen = NA_real_,
data = parent.frame(),
...
)Arguments
- platelets
numeric vector for platelets counts in units of 1,000/uL (thousand per microliter)
- inr
numeric vector for the international normalised ratio blood test
- d_dimer
numeric vector for D-Dimer, units of mg/L FEU
- fibrinogen
numeric vector units of mg/dL
- data
a
list,data.frame, orenvironmentcontaining the input vectors- ...
pass through
Value
a integer vector with values 0, 1, or 2
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.
Phoenix Coagulation Scoring
1 point each for platelets < 100 K/micro liter, INR > 1.3, D-dimer > 2 mg/L FEU, and fibrinogen < 100 mg/dL, with a max total score of 2.
References
See reference details in phoenix-package or by calling
citation('phoenix').
See also
phoenixfor generating the diagnostic Phoenix Sepsis score based on the four organ systems:phoenix_coagulation,
phoenix8for 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 data set
phoenix_coagulation(
platelets = platelets,
inr = inr,
d_dimer = d_dimer,
fibrinogen = fibrinogen,
data = sepsis
)
#> [1] 1 1 2 1 0 2 2 1 1 0 1 0 0 1 2 1 1 2 0 1
# build a data.frame with values for all possible combationations of values
# leading to all possible coagulation scores.
DF <-
expand.grid(plts = c(NA, 20, 100, 150),
inr = c(NA, 0.2, 1.3, 1.8),
ddmr = c(NA, 1.7, 2.0, 2.8),
fib = c(NA, 88, 100, 120))
DF$coag <- phoenix_coagulation(plts, inr, ddmr, fib, DF)
DF
#> plts inr ddmr fib coag
#> 1 NA NA NA NA 0
#> 2 20 NA NA NA 1
#> 3 100 NA NA NA 0
#> 4 150 NA NA NA 0
#> 5 NA 0.2 NA NA 0
#> 6 20 0.2 NA NA 1
#> 7 100 0.2 NA NA 0
#> 8 150 0.2 NA NA 0
#> 9 NA 1.3 NA NA 0
#> 10 20 1.3 NA NA 1
#> 11 100 1.3 NA NA 0
#> 12 150 1.3 NA NA 0
#> 13 NA 1.8 NA NA 1
#> 14 20 1.8 NA NA 2
#> 15 100 1.8 NA NA 1
#> 16 150 1.8 NA NA 1
#> 17 NA NA 1.7 NA 0
#> 18 20 NA 1.7 NA 1
#> 19 100 NA 1.7 NA 0
#> 20 150 NA 1.7 NA 0
#> 21 NA 0.2 1.7 NA 0
#> 22 20 0.2 1.7 NA 1
#> 23 100 0.2 1.7 NA 0
#> 24 150 0.2 1.7 NA 0
#> 25 NA 1.3 1.7 NA 0
#> 26 20 1.3 1.7 NA 1
#> 27 100 1.3 1.7 NA 0
#> 28 150 1.3 1.7 NA 0
#> 29 NA 1.8 1.7 NA 1
#> 30 20 1.8 1.7 NA 2
#> 31 100 1.8 1.7 NA 1
#> 32 150 1.8 1.7 NA 1
#> 33 NA NA 2.0 NA 0
#> 34 20 NA 2.0 NA 1
#> 35 100 NA 2.0 NA 0
#> 36 150 NA 2.0 NA 0
#> 37 NA 0.2 2.0 NA 0
#> 38 20 0.2 2.0 NA 1
#> 39 100 0.2 2.0 NA 0
#> 40 150 0.2 2.0 NA 0
#> 41 NA 1.3 2.0 NA 0
#> 42 20 1.3 2.0 NA 1
#> 43 100 1.3 2.0 NA 0
#> 44 150 1.3 2.0 NA 0
#> 45 NA 1.8 2.0 NA 1
#> 46 20 1.8 2.0 NA 2
#> 47 100 1.8 2.0 NA 1
#> 48 150 1.8 2.0 NA 1
#> 49 NA NA 2.8 NA 1
#> 50 20 NA 2.8 NA 2
#> 51 100 NA 2.8 NA 1
#> 52 150 NA 2.8 NA 1
#> 53 NA 0.2 2.8 NA 1
#> 54 20 0.2 2.8 NA 2
#> 55 100 0.2 2.8 NA 1
#> 56 150 0.2 2.8 NA 1
#> 57 NA 1.3 2.8 NA 1
#> 58 20 1.3 2.8 NA 2
#> 59 100 1.3 2.8 NA 1
#> 60 150 1.3 2.8 NA 1
#> 61 NA 1.8 2.8 NA 2
#> 62 20 1.8 2.8 NA 2
#> 63 100 1.8 2.8 NA 2
#> 64 150 1.8 2.8 NA 2
#> 65 NA NA NA 88 1
#> 66 20 NA NA 88 2
#> 67 100 NA NA 88 1
#> 68 150 NA NA 88 1
#> 69 NA 0.2 NA 88 1
#> 70 20 0.2 NA 88 2
#> 71 100 0.2 NA 88 1
#> 72 150 0.2 NA 88 1
#> 73 NA 1.3 NA 88 1
#> 74 20 1.3 NA 88 2
#> 75 100 1.3 NA 88 1
#> 76 150 1.3 NA 88 1
#> 77 NA 1.8 NA 88 2
#> 78 20 1.8 NA 88 2
#> 79 100 1.8 NA 88 2
#> 80 150 1.8 NA 88 2
#> 81 NA NA 1.7 88 1
#> 82 20 NA 1.7 88 2
#> 83 100 NA 1.7 88 1
#> 84 150 NA 1.7 88 1
#> 85 NA 0.2 1.7 88 1
#> 86 20 0.2 1.7 88 2
#> 87 100 0.2 1.7 88 1
#> 88 150 0.2 1.7 88 1
#> 89 NA 1.3 1.7 88 1
#> 90 20 1.3 1.7 88 2
#> 91 100 1.3 1.7 88 1
#> 92 150 1.3 1.7 88 1
#> 93 NA 1.8 1.7 88 2
#> 94 20 1.8 1.7 88 2
#> 95 100 1.8 1.7 88 2
#> 96 150 1.8 1.7 88 2
#> 97 NA NA 2.0 88 1
#> 98 20 NA 2.0 88 2
#> 99 100 NA 2.0 88 1
#> 100 150 NA 2.0 88 1
#> 101 NA 0.2 2.0 88 1
#> 102 20 0.2 2.0 88 2
#> 103 100 0.2 2.0 88 1
#> 104 150 0.2 2.0 88 1
#> 105 NA 1.3 2.0 88 1
#> 106 20 1.3 2.0 88 2
#> 107 100 1.3 2.0 88 1
#> 108 150 1.3 2.0 88 1
#> 109 NA 1.8 2.0 88 2
#> 110 20 1.8 2.0 88 2
#> 111 100 1.8 2.0 88 2
#> 112 150 1.8 2.0 88 2
#> 113 NA NA 2.8 88 2
#> 114 20 NA 2.8 88 2
#> 115 100 NA 2.8 88 2
#> 116 150 NA 2.8 88 2
#> 117 NA 0.2 2.8 88 2
#> 118 20 0.2 2.8 88 2
#> 119 100 0.2 2.8 88 2
#> 120 150 0.2 2.8 88 2
#> 121 NA 1.3 2.8 88 2
#> 122 20 1.3 2.8 88 2
#> 123 100 1.3 2.8 88 2
#> 124 150 1.3 2.8 88 2
#> 125 NA 1.8 2.8 88 2
#> 126 20 1.8 2.8 88 2
#> 127 100 1.8 2.8 88 2
#> 128 150 1.8 2.8 88 2
#> 129 NA NA NA 100 0
#> 130 20 NA NA 100 1
#> 131 100 NA NA 100 0
#> 132 150 NA NA 100 0
#> 133 NA 0.2 NA 100 0
#> 134 20 0.2 NA 100 1
#> 135 100 0.2 NA 100 0
#> 136 150 0.2 NA 100 0
#> 137 NA 1.3 NA 100 0
#> 138 20 1.3 NA 100 1
#> 139 100 1.3 NA 100 0
#> 140 150 1.3 NA 100 0
#> 141 NA 1.8 NA 100 1
#> 142 20 1.8 NA 100 2
#> 143 100 1.8 NA 100 1
#> 144 150 1.8 NA 100 1
#> 145 NA NA 1.7 100 0
#> 146 20 NA 1.7 100 1
#> 147 100 NA 1.7 100 0
#> 148 150 NA 1.7 100 0
#> 149 NA 0.2 1.7 100 0
#> 150 20 0.2 1.7 100 1
#> 151 100 0.2 1.7 100 0
#> 152 150 0.2 1.7 100 0
#> 153 NA 1.3 1.7 100 0
#> 154 20 1.3 1.7 100 1
#> 155 100 1.3 1.7 100 0
#> 156 150 1.3 1.7 100 0
#> 157 NA 1.8 1.7 100 1
#> 158 20 1.8 1.7 100 2
#> 159 100 1.8 1.7 100 1
#> 160 150 1.8 1.7 100 1
#> 161 NA NA 2.0 100 0
#> 162 20 NA 2.0 100 1
#> 163 100 NA 2.0 100 0
#> 164 150 NA 2.0 100 0
#> 165 NA 0.2 2.0 100 0
#> 166 20 0.2 2.0 100 1
#> 167 100 0.2 2.0 100 0
#> 168 150 0.2 2.0 100 0
#> 169 NA 1.3 2.0 100 0
#> 170 20 1.3 2.0 100 1
#> 171 100 1.3 2.0 100 0
#> 172 150 1.3 2.0 100 0
#> 173 NA 1.8 2.0 100 1
#> 174 20 1.8 2.0 100 2
#> 175 100 1.8 2.0 100 1
#> 176 150 1.8 2.0 100 1
#> 177 NA NA 2.8 100 1
#> 178 20 NA 2.8 100 2
#> 179 100 NA 2.8 100 1
#> 180 150 NA 2.8 100 1
#> 181 NA 0.2 2.8 100 1
#> 182 20 0.2 2.8 100 2
#> 183 100 0.2 2.8 100 1
#> 184 150 0.2 2.8 100 1
#> 185 NA 1.3 2.8 100 1
#> 186 20 1.3 2.8 100 2
#> 187 100 1.3 2.8 100 1
#> 188 150 1.3 2.8 100 1
#> 189 NA 1.8 2.8 100 2
#> 190 20 1.8 2.8 100 2
#> 191 100 1.8 2.8 100 2
#> 192 150 1.8 2.8 100 2
#> 193 NA NA NA 120 0
#> 194 20 NA NA 120 1
#> 195 100 NA NA 120 0
#> 196 150 NA NA 120 0
#> 197 NA 0.2 NA 120 0
#> 198 20 0.2 NA 120 1
#> 199 100 0.2 NA 120 0
#> 200 150 0.2 NA 120 0
#> 201 NA 1.3 NA 120 0
#> 202 20 1.3 NA 120 1
#> 203 100 1.3 NA 120 0
#> 204 150 1.3 NA 120 0
#> 205 NA 1.8 NA 120 1
#> 206 20 1.8 NA 120 2
#> 207 100 1.8 NA 120 1
#> 208 150 1.8 NA 120 1
#> 209 NA NA 1.7 120 0
#> 210 20 NA 1.7 120 1
#> 211 100 NA 1.7 120 0
#> 212 150 NA 1.7 120 0
#> 213 NA 0.2 1.7 120 0
#> 214 20 0.2 1.7 120 1
#> 215 100 0.2 1.7 120 0
#> 216 150 0.2 1.7 120 0
#> 217 NA 1.3 1.7 120 0
#> 218 20 1.3 1.7 120 1
#> 219 100 1.3 1.7 120 0
#> 220 150 1.3 1.7 120 0
#> 221 NA 1.8 1.7 120 1
#> 222 20 1.8 1.7 120 2
#> 223 100 1.8 1.7 120 1
#> 224 150 1.8 1.7 120 1
#> 225 NA NA 2.0 120 0
#> 226 20 NA 2.0 120 1
#> 227 100 NA 2.0 120 0
#> 228 150 NA 2.0 120 0
#> 229 NA 0.2 2.0 120 0
#> 230 20 0.2 2.0 120 1
#> 231 100 0.2 2.0 120 0
#> 232 150 0.2 2.0 120 0
#> 233 NA 1.3 2.0 120 0
#> 234 20 1.3 2.0 120 1
#> 235 100 1.3 2.0 120 0
#> 236 150 1.3 2.0 120 0
#> 237 NA 1.8 2.0 120 1
#> 238 20 1.8 2.0 120 2
#> 239 100 1.8 2.0 120 1
#> 240 150 1.8 2.0 120 1
#> 241 NA NA 2.8 120 1
#> 242 20 NA 2.8 120 2
#> 243 100 NA 2.8 120 1
#> 244 150 NA 2.8 120 1
#> 245 NA 0.2 2.8 120 1
#> 246 20 0.2 2.8 120 2
#> 247 100 0.2 2.8 120 1
#> 248 150 0.2 2.8 120 1
#> 249 NA 1.3 2.8 120 1
#> 250 20 1.3 2.8 120 2
#> 251 100 1.3 2.8 120 1
#> 252 150 1.3 2.8 120 1
#> 253 NA 1.8 2.8 120 2
#> 254 20 1.8 2.8 120 2
#> 255 100 1.8 2.8 120 2
#> 256 150 1.8 2.8 120 2