Vaid et al reported a bedside scoring system for predicting postoperative mortality. It is bases on the American College of Surgeons NSQIP data. The authors are from York Hospital in Pennsylvania.
Patient selection: >= 18 years, preoperative
Outcome: postoperative mortality
Parameters:
(1) hospital status
(2) sepsis
(3) functional status with regards to activities of daily living
(4) disseminated cancer
(5) age in years
(6) cardiac comorbidity
(7) pulmonary comorbidity
(8) renal comorbidity
(9) liver comorbidity
(10) steroid therapy for a chronic condition
(11) weight loss in past 6 months
(12) bleeding disorder
(13) DNR (do not resuscitate) status
(14) obesity
Parameter |
Finding |
Points |
hospital status |
inpatient |
6 |
|
outpatient |
0 |
sepsis |
no |
0 |
|
yes |
4 |
functional status |
totally dependent (poor) |
3 |
|
other |
0 |
disseminated cancer |
no |
0 |
|
yes |
1 |
age |
18 to 64 |
0 |
|
65 to 69 |
0.5 |
|
70 to 79 |
1 |
|
>= 80 |
2 |
cardiac comorbidity |
no |
0 |
|
yes |
5 |
pulmonary comorbidity |
no |
0 |
|
yes |
3 |
renal comorbidity |
no |
0 |
|
yes |
1 |
liver comorbidity |
no |
0 |
|
yes |
1 |
steroid therapy |
no |
0 |
|
yes |
1 |
weight loss |
> 10% |
1 |
|
none or <= 10% |
0 |
bleeding disorder |
no |
0 |
|
yes |
1 |
no |
0 |
|
|
yes |
1 |
obesity |
no |
0 |
|
yes |
-1 |
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: -1
• maximum score: 30
Total Score |
Mortality |
<= 5 |
0.1% |
6 to 10 |
0.6% |
11 to 15 |
2.4% |
16 to 20 |
12.6% |
21 to 25 |
37.5% |
26 to 30 |
40% |
Purpose: To evaluate a patient prior to surgery using the bedside preoperative mortality predictor scoring system of Vaid et al.
Specialty: Anesthesiology, Surgery, general
Objective: risk factors
ICD-10: ,