Hu et al reported models for predicting hospital-acquired pneumonia (HAP) in patients with aneurysmal subarachnoid hemorrhage. One model uses logistic regression. The authors are from Tongji Medical College of Huazhong University of Science and Technology in Wuhan, China.
Patient selection: aneurysmal subarachnoid hemorrhage
Parameters:
(1) age in years
(2) blood glucose in mmol/L
(3) Glasgow coma score (GCS)
(4) standard deviation for the RDS in fL
Parameter
Finding
Points
age in years
20-29 years
-2
30 to 39 years
-1
40 to 49 years
0
50-59 years
1
60-69 years
2
70-79 years
3
blood glucose
< 7.22 mmol/L
0
>= 7.22 mmol/L
2
Glasgow coma scale
3 to 8
5
9 to 12
2
13 to 15
0
standard deviation RDW
< 35 fL
-1
35 to 44.99 fL
0
45 to 54.99 fL
2
>= 55 fL
4
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: -3
• maximum score: 14
• A score from -3 to 4 is designated low risk. A score from 5 to 14 is high risk.
Total Score
Percent Risk
-3
0.7%
-2
1.2%
-1
2.1%
0
3.6%
1
6.3%
2
10.5%
3
17.2%
4
26.9%
5
39.5%
6
53.5%
7
67.1%
8
78.3%
9
86.4%
10
91.9%
11
95.2%
12
97.2%
13
98.4%
14
99.1%
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