Fragkioudaki et al identified patients with Sjogren's syndrome who are at risk for developing non-Hodgkin's lymphoma. The authors are from National and Kapodistrian University of Athens.
Patient selection: Sjogren's syndrome
Outcome: non=Hodgkin's lymphoma
Parameters:
(1) salivary gland enlargement
(2) lymphadenopathy
(3) Raynaud's phenomenon
(4) anti-Ro/SSA and/or anti-La/SSB positivity
(5) rheumatoid factor present
(6) monoclonal gammopathy
(7) C4-hypcomplementemia
|
Parmeter
|
Finding
|
LR Model
|
Point Count
|
|
salivary gland enlargement
|
absent
|
0
|
0
|
|
|
present
|
1.456
|
1
|
|
lymphadenopathy
|
absent
|
0
|
0
|
|
|
present
|
1.445
|
1
|
|
Raynaud's phenomenon
|
absent
|
0
|
0
|
|
|
present
|
0.831
|
1
|
|
anti-Ro/SSA and/or anti-La/SSB
|
absent
|
0
|
0
|
|
|
present
|
1.328
|
1
|
|
rheumatoid factor
|
absent
|
0
|
0
|
|
|
present
|
1.305
|
1
|
|
monoclonal gammopathy
|
absent
|
0
|
0
|
|
|
present
|
1.158
|
1
|
|
C4 hypocomp-lementemia
|
absent
|
0
|
0
|
|
|
present
|
1.088
|
1
|
X =
= SUM(points for LR model) - (coefficient)
probability of lymphoma =
= 1 / (1 + EXP((-1) * X))
Unfortunately the paper does not report the coefficient used. Trial and error suggests a value around 4.305.
total number of risk factors =
= SUM(points for all 7 parameters)
Interpretation:
• minimum number of risk factors: 0
• maximum number of risk factors: 7
• The risk for lymphoma increases with the number of risk factors present.
|
Number of Risk Factors
|
Percent with Lymphoma
|
|
0 to 2
|
3.8%
|
|
3 to 6
|
39.9%
|
|
7
|
100%
|
