Tsujikawa et al reported a model for predicting infection-related mortality in a patient undergoing peritoneal dialysis. This can help to identify a patient who may require more aggressive management. The authors ar from Kyushu University, Fukuoka Dental College, Kokura Memorial Hospital and Nara Medical University.
Patient selection: infection in a patient with peritoneal dialysis
Parameters:
(1) age in years
(2) serum albumin in g/dL
(3) serum creatinine in mg/dL
(4) serum total cholesterol in mg/dL
(5) weekly renal Kt/V
(6) sex
Parameter |
Finding |
Points |
age in years |
<= 60 years |
0 |
|
61 to 70 years |
8 |
|
>= 71 years |
15 |
serum albumin |
>= 3.0 g/dL |
0 |
|
< 3.0 g/dL |
7 |
serum creatinine |
>= 8 mg/dL |
0 |
|
< 8 mg/dL |
2 |
serum total cholesterol |
>= 180 mg/dL |
0 |
|
< 180 mg/dL |
4 |
renal Kt/V |
>= 0.8 |
0 |
|
0.40 to 0.79 |
1 |
|
< 0.40 |
4 |
sex |
female |
0 |
|
male |
4 |
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 36
Total Score |
2-Year Absolute Risk Infection-Related Mortality |
0 to 6 |
< 1% |
7 to 11 |
1 to 2% |
12 to 14 |
2 to 3% |
15 or 16 |
3 to 4% |
17 or 18 |
4 to 5% |
19 or 20 |
6% |
21 or 22 |
7 to 8% |
23 or 24 |
10% |
25 or 26 |
12 to 14% |
27 |
16% |
28 |
18% |
29 |
21% |
30 |
23% |
31 |
26% |
32 |
29% |
33 |
33% |
34 |
37% |
35 |
41% |
36 |
45% |
Performance:
• The area under the ROC curve is 0.79
Specialty: Infectious Diseases