Ali et al reported a model for predicting unplanned readmission following panniculectomy. This can help to identify a patient who may benefit from more aggressive outpatient management. The authorsa re from the University of New Mexico in Albuquerque.
Patient selection: panniculectomy
Parameters:
(1) inpatient
(2) hypertension
(3) obesity
(4) functional status
(5) COPD
(6) wound classification (clean as 1, etc)
(7) ASA status
(8) liposuction
Parameter
Finding
Points
inpatient
no
0
yes
4
hypertension
no
0
yes
4
obesity
no
0
yes
9
functional status
independent
0
dependent
9
COPD
no
0
yes
9
wound class
1 or 2
0
3 or 4
10
ASA status
1 or 2
0
3 or 4
11
liposuction
no
0
yes
-9
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: -9
• maximum score: 56
Total Score
Risk Category
Readmission Rate
<= 5
low
2.4%
6 to 15
moderate
6%
>= 16
high
13%
Performance:
• The area under the ROC curve is 0.71.
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