Description

Challen et al developed models for evaluating patients in the Emergency Department (ED). One model predicts short-term mortality rate for the patient. The authors are from the University of Sheffield.


 

Patient selection: patient in the ED

 

Outcome: 7-day mortality rate

 

Parameters:

(1) Glasgow Coma Score (GCS)

(2) age in years

(3) respiratory rate in breaths per minute

(4) diastolic blood pressure in mm Hg

(5) oxygen saturation risk group

(6) body temperature in °C

(7) respiratory disease

 

Parameter

Finding

Points

GCS

15

0

 

13 or 14

5.311

 

3 to 12

29.372

age in years

< 50 years of age

0

 

50 to 69 years of age

0.608

 

70 to 85 years of age

0.348

 

> 85 years of age

0.924

respiratory rate

< 19 breaths per minute

0

 

19 to 23

1.753

 

> 23

2.791

diastolic blood pressure

> 90 mm Hg

5.204

 

65 to 90 mm Hg

0

 

< 65

3.172

oxygen saturation

low risk (99 to 100% on room air)

0

 

moderate risk (95 to 98% on room air or > 95% on supplemental oxygen)

0.932

 

high risk (< 95% on room air or <=95% on supplemental oxygen)

3.202

body temperature

>= 36°C

0

 

< 36°C

4.714

respiratory disease

absent

0

 

present

12.355

respiratory disease and temperature

temperature < 36°C AND respiratory disease

7.466

 

other

0

 

X =

= SUM(points for all 7 parameters)

 

probability of a potential to benefit =

= 1 / (1 + EXP((-1) * X))

 

Interpretation:

• The minimum value of X is 0 which occurs when all of the findings are normal. This gives a probability of 50% which would seems high.

• The maximum value of X is 41.391 which has a probability of 100% which seems high.

• Many logistic regression models subtract a constant. None is specified in the paper or supplemental files.

 

Performance:

• The area under the ROC curve was 0.85 in the derivation set and 0.74 in the validation set.

 


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