IMPACT model for 6 month outcome after TBI

Core data
Beschrijving

Core data

Age
Beschrijving

Age

Datatype

integer

Maateenheden
  • years
Alias
UMLS CUI [1]
C0001779
Motor score
Beschrijving

Motor score

Datatype

integer

Pupillary reactivity
Beschrijving

Pupillary reactivity

Datatype

integer

CT data
Beschrijving

CT data

Hypoxia
Beschrijving

Hypoxia

Datatype

integer

Hypotension
Beschrijving

Hypotension

Datatype

integer

CT classification
Beschrijving

CT classification

Datatype

integer

Traumatic subarachnoid hemorrhage (CT)
Beschrijving

Traumatic subarachnoid hemorrhage

Datatype

integer

Epidural hematoma (CT)
Beschrijving

Epidural hematoma

Datatype

integer

Sub score CT
Beschrijving

Sub score CT = hypoxia + hypotension + CT characteristics

Datatype

integer

Lab data
Beschrijving

Lab data

Glucose
Beschrijving

Glucose

Datatype

integer

Maateenheden
  • mmol/L
Hb
Beschrijving

Hemoglobin

Datatype

integer

Maateenheden
  • g/dL
Sub score lab
Beschrijving

glucose + Hb

Datatype

integer

Sum scores
Beschrijving

Sum scores

Sum score: core model
Beschrijving

Sum score core model = age + motor score + pupillary reactivity. The probability of 6 mo outcome is defined as 1 / (1+e^-LP), where LP refers to the linear predictor in a logistic regression model. LP core, mortality = -2.55 + 0.275 x sum score core. LP core, unfavorable outcome = -1.62 + 0.299 x sum score core.

Datatype

integer

Sum score: extended model
Beschrijving

Sum score extended model = core + hypoxia + hypotension + CT characteristics. The probability of 6 mo outcome is defined as 1 / (1+e^-LP), where LP refers to the linear predictor in a logistic regression model. LP extended, mortality = -2.98 + 0.256 x (sum score core + subscore CT). LP extended, unfavorable outcome = -2.10 + 0.276 x (sum score core + subscore CT).

Datatype

integer

Sum score: lab model
Beschrijving

Sum score lab model = core + hypoxia + hypotension + CT + glucose + Hb. The probability of 6 mo outcome is defined as 1 / (1+e^-LP), where LP refers to the linear predictor in a logistic regression model. LP lab, mortality = -3.42 + 0.216 x (sum score core + subscore CT + subscore lab). LP lab, unfavorable outcome = -2.82 + 0.257 x (sum score core + subscore CT + subscore lab).

Datatype

integer

Similar models

IMPACT model for 6 month outcome after TBI

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
Core data
Item
Age
integer
C0001779 (UMLS CUI [1])
Code List
Age
CL Item
≤30 (0)
CL Item
30-39 (1)
CL Item
40-49 (2)
CL Item
50-59 (3)
CL Item
60-69 (4)
CL Item
70+ (5)
Item
Motor score
integer
Code List
Motor score
CL Item
None/extension (6)
CL Item
Abnormal flexion (4)
CL Item
Normal flexion (2)
CL Item
Localizes/obeys (0)
CL Item
Untestable/missing (3)
Item
Pupillary reactivity
integer
Code List
Pupillary reactivity
CL Item
Both pupils reacted (0)
CL Item
One pupil reacted (2)
CL Item
No pupil reacted (4)
Item Group
CT data
Item
Hypoxia
integer
Code List
Hypoxia
CL Item
Yes or suspected (1)
CL Item
No (0)
Item
Hypotension
integer
Code List
Hypotension
CL Item
Yes or suspected (2)
CL Item
No (0)
Item
CT classification
integer
Code List
CT classification
CL Item
I (-2)
CL Item
II (0)
CL Item
III/IV/V/VI (2)
Item
Traumatic subarachnoid hemorrhage (CT)
integer
Code List
Traumatic subarachnoid hemorrhage (CT)
CL Item
Yes (2)
CL Item
No (0)
Item
Epidural hematoma (CT)
integer
Code List
Epidural hematoma (CT)
CL Item
Yes (-2)
CL Item
No (0)
Sub score CT
Item
Sub score CT
integer
Item Group
Lab data
Item
Glucose
integer
Code List
Glucose
CL Item
<6 (0)
CL Item
6-8.9 (1)
CL Item
9-11.9 (2)
CL Item
12-14.9 (3)
CL Item
15+ (4)
Item
Hb
integer
Code List
Hb
CL Item
<9 (3)
CL Item
9-11.9 (2)
CL Item
12-14.9 (1)
CL Item
15+ (0)
Sub score lab
Item
Sub score lab
integer
Item Group
Sum scores
Sum score core model
Item
Sum score: core model
integer
Sum score extended model
Item
Sum score: extended model
integer
Sum score lab model
Item
Sum score: lab model
integer