Brunelli et al developed a score for helping to identify a patient requiring emergency admission to the intensive care unit (ICU) following a major lung resection. The authors are from Umberto First Regional Hospital (Ancona, Italy), the University of Chicago, Sheffield Teaching Hospital, Bellaria Hospital (Bologna, Italy) and the University of Bologna.
Patient selection: major lung resection
Outcome: admission to the ICU because of complications
Parameters:
(1) age in years
(2) predicted postoperative FEV1 in percent
(3) predicted postoperative DLco in percent
(4) cardiac comorbidity
(5) pneumonectomy (entire left or right lung)
Parameter
Finding
Beta Coefficient
Points
age in years
<= 65 years
0
0
> 65 years
0.04
1
predicted FEV1
>= 65% of predicted
0
0
< 65% of predicted
0.04
1
predicted DLco
>= 50% of predicted
0
0
< 50% of predicted
0.04
1
cardiac comorbidity
absent
0
0
present
0.03
1
pneumonectomy
no
0
0
yes
0.09
2
X for logistic regression model =
= SUM(beta-coefficients for the 5 parameters) - 0.07
probability of ICU admission =
= 1 / ( 1 + EXP((-1) * X))
weighted score =
= SUM(points for all 5 parameters)
Interpretation of weighted score:
• minimum score: 0
• maxium score: 6
Score
Group
ICU Admission Rate
0
A
< 2%
1 to 3
B
7%
4 to 6
C
20%
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