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IMPACT model for 6 month outcome after TBI

1 forms  
Core data
Description

Core data

Age
Description

Age

Data type

integer

Measurement units
  • years
Alias
UMLS CUI [1]
C0001779
Motor score
Description

Motor score

Data type

integer

Pupillary reactivity
Description

Pupillary reactivity

Data type

integer

CT data
Description

CT data

Hypoxia
Description

Hypoxia

Data type

integer

Hypotension
Description

Hypotension

Data type

integer

CT classification
Description

CT classification

Data type

integer

Traumatic subarachnoid hemorrhage (CT)
Description

Traumatic subarachnoid hemorrhage

Data type

integer

Epidural hematoma (CT)
Description

Epidural hematoma

Data type

integer

Sub score CT
Description

Sub score CT = hypoxia + hypotension + CT characteristics

Data type

integer

Lab data
Description

Lab data

Glucose
Description

Glucose

Data type

integer

Measurement units
  • mmol/L
Hb
Description

Hemoglobin

Data type

integer

Measurement units
  • g/dL
Sub score lab
Description

glucose + Hb

Data type

integer

Sum scores
Description

Sum scores

Sum score: core model
Description

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.

Data type

integer

Sum score: extended model
Description

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).

Data type

integer

Sum score: lab model
Description

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).

Data type

integer

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Similar models

IMPACT model for 6 month outcome after TBI

1 forms
Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
Core data
Item
Age
integer
C0001779 (UMLS CUI [1])
Age
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
Motor score
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
Pupillary reactivity
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
Hypoxia
Code List
Hypoxia
CL Item
Yes or suspected (1)
CL Item
No (0)
Item
Hypotension
integer
Hypotension
Code List
Hypotension
CL Item
Yes or suspected (2)
CL Item
No (0)
Item
CT classification
integer
CT classification
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
Traumatic subarachnoid hemorrhage
Code List
Traumatic subarachnoid hemorrhage (CT)
CL Item
Yes (2)
CL Item
No (0)
Item
Epidural hematoma (CT)
integer
Epidural hematoma
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
Glucose
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
Hemoglobin
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
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