AlHilli et al developed a score for predicting non-home discharge of a woman following primary surgery for an epithelial ovarian cancer. Identification of a patient unlikely to be discharged home can facilitate discharge planning. The authors are from the Mayo Clinic in Rochester.
Patient selection: woman with epithelial ovarian cancer undergoing primary surgery
Parameters:
(1) age in years
(2) CA-125 in U/mL
(3) ASA score
(4) ECOG performance status
|
Age |
Points |
|
< 30 |
0 |
|
30 to 45 |
(0.952 * (age)) – 28.55 |
|
45 to 65 |
(0.0649 * ((age)^2)) – (5.288 * (age)) + 121.1 |
|
65 to 80 |
(-0.074 * ((age)^2)) + (12.7 * (age)) – 461.5 |
|
80 to 95 |
(1.188 * (age)) – 14.05 |
|
> 95 |
99 |
points for CA-125 =
= MIN((12.56 * LOG10(CA125)) + 0.0675, 61)
|
Parameter |
Finding |
Points |
|
ASA |
1 or 2 |
2.5 |
|
|
3 or 4 |
15.5 |
|
ECOG performance status |
0 |
0.4 |
|
|
1 |
0 |
|
|
2, 3 or 4 |
32.1 |
total score =
= SUM(points for all 4 parameters)
Interpretation:
• minimum score: 0
• maximum score: around 200
• The higher the score the more likely that the patient will not be discharged home.
|
Points |
Percent Non-Home Discharge |
|
0 to 59 |
(0.000107 * ((points)^3)) – (0.002558 * ((points)^2)) + (0.1063 * (points)) + 0.68 |
|
59 to 91 |
(1.262 * (points)) – 55.51 |
|
91 to 135 |
(-0.01121 * ((points)^2) + (3.322 * (points)) – 148.7 |
|
> 135 |
> 95% |
Specialty: Hematology Oncology, Surgery, general, Obstetrics & Gynecology
ICD-10: ,
