Not Logged In     Login  
 Release 22.0, Sept. 2008
 
Chapter : ch23. Microbiology & Infectious Diseases Section : Evaluation of Bacteremias and Sepsis
  Score of Jaimes et al for Predicting Death in a Patient with Suspected Sepsis in the Emergency Department

  Online Excel Reference
Copyright (c) 2008-2010, Institute for Algorithmic Medicine, Houston, TX, USA. All rights reserved.

Overview :

Jaimes et al developed a score for predicting mortality in patients who present to the Emergency Department with suspected sepsis. This can help identify patients who may benefit from more aggressive management. The authors are from Universidad de Antioquia in Medellin and Fundacion Santa Fe de Bogota in Bogata, Columbia.

 

Parameters:

(1) presence of general systemic (comorbid) disease

(2) presence of systemic immunosuppressive disease

(3) respiratory rate

(4) Glasgow coma score (GCS)

(5) body temperature in °C

(6) shock index (SI, see Chapter 06, section 06.01.01)

 

Parameter

Finding

Points

concurrent disease (general systemic or immunosuppression)

one or both present

2

 

neither present

0

respiratory rate

< 24 breaths per minute

0

 

24 - 33 breaths per minute

1

 

>= 34 breaths per minute

3

Glasgow coma score

>= 12

0

 

< 12

3

body temperature

>= 38°C

0

 

< 38°C

2

shock index

< 1.5

0

 

>= 1.5

2

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 12 (no one in study had a score of 11 or 12)

• The higher the score the greater the risk of mortality.

 

Total Score

Mortality Rate

0 or 1

8%

2

12%

3

18%

4

28%

5

34%

6

38%

7

48%

8

68%

9 to 12

100%

approximated from Figure 1, page R154

 

  References:

Jaimes F, Farbiarz J, et al. Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency department. Crit Care. 2005; 9: R150 - R155 (Table 2, page R153; Figure 1, page R154).

 

 

   Online Excel | Reference TOP
     Pubmed Search For
Copy and paste the article title, or authors names into the search box