Model for Predicting Bacteremia Pneumonia

Description

Lee et al developed a model for predicting bacteremia in a patient with community-acquired pneumonia (CAP). This can help to identify a patient who may benefit from more aggressive management. The authors are from Seoul National University and Inha University in South Korea.

Patient selection: community-acquired pneumonia

Parameters:

(1) systolic blood pressure

(2) heart rate

(3) body temperature

(4) white blood cell (WBC) count

(5) platelet count

(6) serum albumin

(7) C-reactive protein (CRP)

Parameter	Finding	Points
systolic blood pressure	>= 90 mm Hg	0
	< 90 mm Hg	3
heart rate	<= 125 beats per minute	0
	> 125 beats per minute	3
body temperature	< 35°C	5
	35 to 40°C	0
	> 40°C	5
WBC count	< 4,000 per µL	2
	4,000 to 12,000 per µL	0
	> 12,000 per µL	2
platelet count	>= 130,000 per µL	0
	< 130,000 per µL	3
serum albumin	>= 3.3 g/dL	0
	< 3.3 g/dL	2
CRP	<= 17 mg/dL	0
	> 17 mg/dL	3

total score =

= SUM(points for all 7 parameters)

Interpretation:

• minimum score: 0

• maximum score: 21

• The higher the score the greater the risk for bacteremia.

Score	Risk Group	Bactermia
<= 5	low	2-3%
6 to 10	intermediate	14-16%
11 to 21	high	23-31%

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Description

Specialty

ICD-10

Model for Predicting Bacteremia in Patient with Community-Acquired Pneumonia

Purpose: To identify a patient with community-acquired pneumonia (CAP) who is at risk for bacteremia using the model of Lee et al.

Description

Specialty

ICD-10