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Description

Chen et al reported a nomogram for predicting the risk of exacerbations for a patient with stable COPD. This can help to identify a patient who may benefit from more aggressive management. The authors are from Tongji Medical College and Huazhong University of Science and Technology in China.


Patient selection: stable COPD

 

Parameters:

(1) body mass index in kg per square meter

(2) WBC count in 10^9/L

(3) history of severe exacerbation

(4) post-bronchodilator FEV1 as percent of predicted

(5) number of comorbidities (CHF, diabetes, GERD, asthma)

(6) COPD Assessment Test (CAT) score, from 0 to 40

 

points for CAT score =

= 2.5 * (CAT score)

 

Parameter

Finding

Points

body mass index

< 21 kg per sq m

21.4

 

>= 21 kg per sq m

0

WBC count

< 10 * 10^9/L

0

 

>= 10 * 10^9/L

15.8

history of severe exacerbation

no

0

 

yes

34.6

FEV1

>=80 percent of predicted

0

 

50 to 79 percent

27.7

 

30 to 49 percent

50.4

 

< 30% of predicted

65.4

number of comorbid conditions

0

0

 

1

13.5

 

2

33.8

 

3 or 4

68.4

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

minimum score: 0

maximum score: 305.6

The higher the score the greater the risk of a severe exacerbation.

 

value of X =

= (-0.0000653 * ((score)^2)) + (0.04133 * (score)) - 3.525

 

probability of a severe exacerbation in the next 5 years =

= 1 / (1 + EXP((-1) * X))

 

Performance:

The area under the ROC curve is 0.74.


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