Feliu et al developed a nomogram for predicting survival of a patient with terminal cancer. This can help to identify a patient who may benefit from hospice care. The authors are from University Hospital La Paz in Madrid, Spain.
Patient selection: patient with terminal cancer
Parameters:
(1) time from initial diagnosis to diagnosis of terminal disease in months. from 0 to 180
(2) ECOG performance status from 1 to 4
(3) serum albumin in g/dL from 0.5 to 6.0
(4) serum LDH in U/L from 0 to 16,000 IU/L
(5) absolute lymphocyte count per µL from 0 to 16,000
|
ECOG
|
Points
|
|
ECOG 1
|
0
|
|
ECOG 2
|
19
|
|
ECOG 3
|
38
|
|
ECOG 4
|
57
|
points for time from initial diagnosis =
= (-0.30556 * (months)) + 55
points for serum albumin =
= (-14.72727 * (albumin)) + 88.3636
points for serum LDH =
= (0.0058125 * (LDH))
points for absolute lymphocyte count =
= (-0.00625 * (absolute lymphocyte count)) + 100
total score =
= SUM(points for all 5 parameters)
|
Total Score
|
Probability of 30 Day Survival
|
|
< 131
|
> 90%
|
|
131 to 275
|
(-0.002113 * ((score)^2)) + (0.2743 * (points)) + 91.55
|
|
> 275
|
< 10%
|
