Description

Lau et al developed a nomogram for predicting survival in a patient with a terminal illness. The model is based on the Palliative Performance Scale (PPS). The authors are from the University of Victoria, the Victoria Hospice Society and University of Ottawa in Canada.


Patient selection: patient with a terminal illness and a PPS <= 70

 

Parameters:

(1) age in years

(2) gender

(3) location of the patient

(4) diagnosis

(5) Palliative Performance Scale (PPS)

 

Parameter

Finding

Points

age in years

<= 44 years

0

 

45 to 64 years

4.2

 

65 to 74 years

7.3

 

75 to 84 years

5.2

 

>= 85 years

10.7

gender

female

0

 

male

7.9

location

extended care facility

0

 

acute care hospital

2.2

 

home

11

diagnosis

cancer, breast

7.5

 

cancer, colorectal

13.6

 

cancer, esophageal

19

 

cancer, eye, brain, CNS

0

 

cancer, female genital

12.6

 

cancer, gastrointestinal, other

16.5

 

cancer, head and neck

16.5

 

cancer, hematopoietic

17.3

 

cancer, male genital

2.7

 

cancer, other

12.9

 

cancer, pancreas

13.9

 

cancer, respiratory tract

16.9

 

cancer, skin

12.2

 

cancer, stomach

9.4

 

cancer, urinary tract

7.1

 

noncancer, AIDS

9.6

 

noncancer, cardiovascular

2.6

 

noncancer, neurological

1

 

noncancer, respiratory

13.5

 

noncancer. other

11.5

 

none of the above

9.6

 

points for PPS =

= (0.02165 * ((PPS)^2)) - (3.422 * (PPS)) + 133.5

 

total score =

= SUM(points for all 5 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 147

• The higher the score the shorter the predicted survival.

 

Total Score

Median Survival in Days

< 10

> 150

10 to 49

(0.07709 * ((score)^2)) - (7.652 * (score)) + 211.1

49 to 78

(0.01202 * ((score)^2)) - (1.996 * (score)) + 88.74

78 to 137

(0.001337 * ((score)^2)) - (0.3695 * (score)) + 26.55

> 137

< 1

 


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