Description

Thabane et al developed a risk score for predicting the risk of irritable bowel syndrome (IBS) developing after an episode of acute gastroenteritis. The authors are from McMaster University in Hamilton, Ontario.


 

Patient selection: acute gastroenteritis and age >= 16 years

 

Parameters:

(1) age

(2) gender

(3) duration of diarrhea in days

(4) maximum number of stools per day

(5) bloody stools

(6) abdominal cramps

(7) fever

(8) weight loss

(9) anxiety and/or depression (including post-traumatic stress disorder)

Parameter

Finding

Points

age

< 60 years

6

 

>= 60 years

0

gender

male

0

 

female

9

duration of diarrhea

<= 7 days

0

 

> 7 days

7

maximum number of stools per day

<= 6

0

 

> 6

8

bloody stools

no

0

 

yes

4

abdominal cramps

no

0

 

yes

32

fever

no

0

 

yes

5

weight loss

none or <= 10 lbs

0

 

> 10 lbs

8

anxiety and/or depression

none

0

 

premorbid

1

 

post-infection

10

 

both

11

 

where:

• The paper says that the maximum score is 90. The only way to achieve this is to score both premorbid and post-infectious anxiety and depression.

• Age in Table 4 is given as < 60 and > 60. Table 2 indicates < 60 is the risk factor.

 

total score =

= SUM(points for all 9 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 90

• The higher the score the greater the risk of IBS.

 

The risk can be estimated by the equation:

 

percent IBS =

= (0.01047 * ((score)^2)) + (0.0267 * (score)) + 0.559

 

Performance:

• The area under the ROC curve was 0.7.

• The sensitivity was 25-35% with specificity 90%.

• The positive predictive value ranged from 53 to 64%. The negative predictive value was 72%.

 


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