Description

Drossaers-Bakker et al developed a simple algorithm for identifying a patient who is at risk for developing severe rheumatoid arthritis based on baseline characteristics. The authors are form Leiden University, University Hospital Rotterdam and other hospitals in The Netherlands.


 

Patient selection: rheumatoid arthritis with < 5 years disease duration

 

Endpoint: severe rheumatoid arthritis within 12 years (based on the highest tertile Sharp score modification of the van der Heijde score)

 

Parameters:

(1) rheumatoid factor

(2) erosive changes on joint radiographs

(3) swollen joint count (SJC)

Rheumatoid Factor

Erosive Changes

Swollen Joint Count

Chance Severe RA

negative

absent

< 6

< 35%

negative

absent

> 10

> 82%

negative

present

<4

< 65%

negative

present

> 8

> 93%

positive

absent

< 4

< 38%

positive

absent

> 9

> 89%

positive

present

< 3

< 60%

positive

present

> 6

> 90%

 

where:

• Figure 1 on page 388 does not make sense as published. The data above is based on what I think is the correct interpretation.

• Note that there is a gap in the swollen joint count in each pair. For example, in the first pair there is no coverage for a SJC of 6 to 10. In the implementation I will use the range between the two chances given in Figure 1.

• The chances of developing severe disease in the "low risk" group seem relatively large. Almost a third of the people with negative findings will develop severe disease.

 

Findings in Table 2 seen in patients with a mild course:

(1) 0 or very low swollen joint count

(2) very low Ritchie score

(3) usually rheumatoid factor negative

(4) no erosions on radiographs

(5) no disability

(6) 0 or very low Sharp score

 

Findings in Table 2 seen in patients with a severe course:

(1) multiple swollen joints

(2) positive Ritchie score

(3) often rheumatoid factor positive

(4) sometimes erosions seen on radiographs

(5) some disability

(6) positive Sharp score

 


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