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Description

Tseng et al reported models for predicting 30-day outcomes following surgery for a patient with disseminated cancer. One model predicts morbidity and the second mortality. The authors are from the University of California at Davis.


Patient selection: surgical intervention on a patient with disseminated cancer

 

Parameters:

(1) DNR status

(2) weight loss over 6 months

(3) dyspnea

(4) functional dependence

(5) ascites

(6) chronic steroid use

(7) active sepsis

(8) serum creatinine in mg/dL

(9) serum albumin in g/dL

(10) blood WBC count in 10^9/L

(11) hematocrit in percent

(12) surgical acuity

(13) procedure type

 

points for serum creatinine =

= 6.95 * (creatinine)

 

points for serum albumin =

= 84.82 - (15.42 * (albumin))

 

points for WBC count =

= (0.834 * (WBCC))

 

points for hematocrit =

 

 

Parameter

Finding

Points

DNR status

no

0

 

yes

30.9

weight loss

<= 10%

0

 

> 10%

13.7

dyspnea

no

0

 

moderate

15.3

 

at rest

28.9

functional dependence

none

0

 

partial

41

 

total

74.6

ascites

no

0

 

yes

13

chronic steroid use

no

0

 

yes

14.6

active sepsis

no

0

 

yes

29.4

surgical acuity

elective

0

 

urgent

9.6

 

emergency

21.5

procedure type

skin or soft tissue

0

 

vascular

16.1

 

biopsy

25.8

 

gallbladder, appendix, lysis of adhesions

36.5

 

gastrointestinal resection

52.9

 

multivisceral resection

100

 

other

22.6

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

• minimum score: 0

• maximum sore: 530.4

 

value of X =

= (0.01626 * (score)) - 3.365

 

probability of 30-day morbidity =

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

 

Performance:

• The concordance index is 0.70.


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