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Bedside Score of Penel et al for Predicting 90 Day Mortality for a Patient with Cancer from an Unknown Primary

Purpose: To predict the 90 day mortality rate for a patient with metastases from a cancer with an unknown primary site as reported by Penel et al.

Description

Penel et al developed a bedside score to predict early death of a patient with metastatic cancer from an unknown primary. The authors are from hospitals in France and Canada.


Patient selection: metastatic cancer from an unknown primary

 

Outcome: 90 day (3 month) mortality

 

Parameters:

(1) ECOG performance scale

(2) number of comorbidities requiring treatment

(3) serum LDH

(4) serum albumin or total protein

 

Parameter

Finding

Points

ECOG performance

0 or 1

0

 

2, 3 or 4

1

number of comorbidities

0

0

 

1 or more

1

serum LDH

up to 1.5 times the upper limite of the normal reference range

0

 

more than 1.5 times the upper limit of normal

1

serum albumin or protein

albumin >= 35 g/L AND total protein >= 70 g/L

0

 

albumin < 35 g/L OR total protein < 70 g/L

1

 

number of risk factors =

= SUM(points for all 4 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 4

• The higher the score the greater the mortality rate at 90 days.

 

Score

90 Day Mortality

0 or 1

13%

2

25-32%

3 or 4

64%

 


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Specialty

Objective

ICD-10