Description

The PROWESS trial of recombinant activated protein C in sepsis developed a multivariate equation to predict probability of patient death. This used several clinical and biochemical measures. The PROWESS investigators are from multiple university hospitals in the North America and Europe.


 

Parameters:

(1) age in years

(2) Apache II score

(3) chronic health points from the Apache II score

(4) serum IL-6 (interleukin-6) concentration in mg/dL

(5) dependency as measured using Katz's activities of daily living (ADL) score

(6) urosepsis

 

Parameter

Finding

Points

chronic health points

0

0

 

>= 1

1

ADL

no dependencies in ADL

0

 

dependent in >= 1 activities

1

urosepsis

absent

0

 

present

1

 

where:

• The index of ADL involves bathing, dressing, toilet, transfer, continence, and feeding (see Index of Independence of Katz et al in 37.05.05).

• Chronic health points (see Apache II score, above) would be "positive" with a history of severe organ failure or being immunocompromised.

 

X =

= (0.054 * (Apache II score)) + (0.030 * (age in years)) + (0.211 * LN(IL-6 concentration)) + (0.494 * (dependency points)) - (0.781 * (urosepsis points)) + (0.639 * (comorbidity points)) - 5.75

 

probability of mortality =

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

 

Limitations:

• The model has not been validated as a tool for making individual patient risk assessment.

 


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