Description

Kharbanda et al developed 2 decision rules to identify a child with a low risk of appendicitis. A child at low risk can be managed conservatively with careful observation and does not need a CT scan. The authors are from Children's Hospital Boston.


 

Patient selection: 3 to 18 years of age

 

Parameters for first rule (derived by logistic regression):

(1) nausea

(2) history of focal right lower quadrant (RLQ) pain

(3) migration of pain

(4) difficulty walking

(5) rebound tenderness and/or pain on percussion

(6) absolute neutrophil count

Parameter

Finding

Points

nausea

absent

0

 

present

2

history of focal RLQ pain

absent

0

 

present

2

migration of pain

absent

0

 

present

1

difficulty walking

absent

0

 

present

1

rebound tenderness or pain on percussion

absent

0

 

present

2

absolute neutrophil count

<= 6,750 per µL

0

 

> 6,750 per µL

6

 

total score for first rule =

= SUM(points for all 6 parameters)

 

Parameters for second rule (derived by recursive partitioning):

(1) nausea

(2) tenderness maximal in RLQ

(3) absolute neutrophil count

 

Absolute Neutrophil Count

Nausea

Maximal Tenderness RLQ

Percent Appendicitis

> 6,750 per µL

NA

NA

53%

<= 6,750 per µL

no

NA

0%

<= 6,750 per µL

yes

no

0%

<= 6,750 per µL

yes

yes

11%

 

 

Absolute Neutrophil Count

Nausea

Maximal Tenderness RLQ

Percent Appendicitis

> 6,750 per µL

NA

NA

44%

<= 6,750 per µL

no

NA

0%

<= 6,750 per µL

yes

no

9%

<= 6,750 per µL

yes

yes

13%

 

Interpretation:

• minimum score to the first rule: 0

• maximum score to first rule: 14

• A child was considered low risk by the first rule if the score was <= 5.

 

Performance:

• The first model has a sensitivity of 99% in the derivation set and 96% in the validation set. The specificity was not stated but is 30% in the ROC curve in Figure 2. The NPV was 96% and negative likelihood ratio 0.102.

• The second model has a sensitivity of 100% in the derivation set and 98% in the validation set. The NPV was 97.5% and negative likelihood ratio 0.058.

 


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