Ma et al reported a score for predicting early-onset peritonitis in a patient starting peritoneal dialysis. This can help to identify a patient who may benefit from more aggressive management. The authors are from Zhengzhou University in China and Keele University in the UK.
Patient selection: starting peritoneal dialysis
Parameters:
(1) age in years
(2) diastolic blood pressure in mm Hg
(3) serum sodium in mmol/L
(4) serum ALT in IU/L
(5) serum AST in IU/L
(6) serum total protein in g/L
(7) ESR in mm in first hour
(8) WBC count per microliter
(9) serum triglyceride in mmol/L
(10) serum magnesium in mmol/L
(11) serum total cholesterol in mmol/L
(12) fasting blood glucose in mmol/L
(13) heart rate in beats per minute
(14) left ventricular ejection fraction in percent
(15) blood urea nitrogen in mg/dL
(16) serum potassium in mmol/L
(17) serum LDL in mmol/L
(18) systolic blood pressure in mm Hg
(19) serum HDL in mmol/L
(20) carbon dioxide combining power in mmol/L
points for age =
= (0.2117308 * (0.01 * ((age)^2))) - (0.1141053 * (0.01 * ((age)^2)) * LN((age)/10))
points for diastolic blood pressure =
= (0.3894896 * (((DBP)/100)^3)) - (1.205053 * (((DBP)/100)^3) * LN((DBP)/100))
points for serum sodium =
= (-1.118932 * (((sodium)/100)^(-2))) - (0.4350019 * (((sodium)/100)^(-2)) * LN((sodium)/100))
Parameter |
Finding |
Points |
serum ALT |
< 15 U/L |
0 |
|
>= 15 U/L |
-0.4272603 |
serum AST |
< 17 U/L |
0 |
|
>= 17 U/L |
-0.3352946 |
serum total protein |
< 58 g/L |
0 |
|
>= 58 g/L |
0.3829204 |
ESR |
< 28 mm in first hour |
0 |
|
>= 28 mm in first hour |
0.3119003 |
WBC count |
< 6,000 per µL |
0 |
|
>= 6,000 per µL |
-0.1684228 |
serum triglyceride |
< 1.26 mmol/L |
0 |
|
>= 1.26 mmol/L |
-0.3836425 |
serum magnesium |
< 0.98 mmol/L |
0 |
|
>= 0.98 mmol/L |
0.4827478 |
serum total cholesterol |
< 4.43 mmol/L |
0 |
|
>= 4.43 mmol/L |
-0.0654031 |
fasting blood glucose |
< 5.0 mmol/L |
0 |
|
>= 5.0 mmol/L |
-0.9677222 |
heart rate |
< 80 beats per minute |
0 |
|
>= 80 beats per minute |
-0.3486695 |
LV ejection fraction |
> 60% |
0 |
|
<= 60% |
-0.3853148 |
serum BUN |
< 24 mg/dL |
0 |
|
>= 24 mg/dL |
0.6670026 |
serum potassium |
< 4.3 mmol/L |
0 |
|
>= 4.3 mmol/L |
0.0730316 |
serum LDL |
< 2.6 mmol/L |
0 |
|
>= 2.6 mmol/L |
0.1397471 |
systolic blood pressure |
< 145 mm Hg |
0 |
|
>= 145 mm Hg |
0.0053947 |
serum HDL |
> 1.1 mmol/L |
0 |
|
<= 1.1 mmol/L |
0.0336835 |
carbon dioxide combining power |
< 22.3 mmol/L |
0 |
|
>= 22.3 mmol/L |
0.430856 |
where:
• In the implementation HDL and LDL are assumed to be HDL and LDL cholesterol. Values given in the paper for these parameters are close to values for total cholesterol.
total score =
= SUM(points for all of the parameters) - 1.578509
probability of peritonitis =
= 1 / (1 + EXP((-1) * (score)))
Performance:
• The area under the ROC curve is 0.76.
Specialty: Infectious Diseases