Description

Owusuaa et al reported a model for predicting 1-year survival for a patient with advanced cancer. This can help to identify a patient who may benefit from more aggressive management or palliative care. The authors are from Erasmus University and affiliated hospitals.


Patient selection: advanced cancer, age 20 to 90 years

 

Outcome: 1-year survival

 

Parameters:

(1) Surprise question to the physician

(2) age of the patient in years from 20 to 90 years

(3) cancer prognostic type

(4) visceral metastases

(5) brain metastases

(6) ECOG performance status

(7) weight loss in previous 6 months

(8) VAS pain score from 0 to 10

(9) dyspnea (CTCAE grade)

(10) hemoglobin in mmol/L (conversion: multiple g/dL by 0.6206

(11) serum CRP in mg/L

(12) serum albumin in g/L

 

points for age =

= (0.593 * (age)) - 11.857

 

points for pain score

= (2.78 * (VAS score))

 

points for hemoglobin

= 152 - (19 * (hemoglobin))

 

points for CRP

= (32.63 * LOG10(CRP)) + 9.806

 

points for serum albumin

= (99.73 - (1.81 * (albumin))

 

Parameter

Finding

Points

surprise question

yes

0

 

no

100

cancer prognostic type

good (breast, prostate, thyroid)

0

 

poor

25.3

visceral metastases

no

0

 

yes

20.2

brain metastases

no

0

 

yes

34.1

ECOG performance

0

2

 

1

0

 

2 to 4

28.6

weight loss

none

0

 

any

7.7

dyspnea

Grade 0

0

 

Grade 1

16

 

Grade 2 to 4

22.4

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 513.4

 

value of X =

= (0.0000295 * ((score)^2)) + (0.0049148 * (score)) - 2.7259

 

probability of 1-year mortality =

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

 

Performance:

• The area under the ROC curve is 0.76.


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