Prevalence of XXXX and other clinical manifestations in disabled @entity1 with @entity1252 .

@entity1 @entity1310 @entity308 @entity1252 @entity149 @entity16133 @entity148 @entity16135 @entity717
OBJECTIVE: While @entity717 is common in @entity1 with @entity1252 ( @entity1252 ), it is not known @entity1252 characteristics predispose toward @entity717 . We examined demographic, clinical, serological, and neuropsychological factors in a group of disabled and nondisabled @entity1 with @entity1252 . METHODS: Fifty @entity1 meeting American College of Rheumatology criteria for @entity1252 were assessed for work status, disease characteristics, fatigue, @entity148 , @entity308 , and quality of life. All subjects underwent an abbreviated panel of neuropsychological tests. Subjects who had @entity717 (social security or longterm disability, n = 16) and subjects who self-reported @entity717 without formal recognition (n = 8) were compared to subjects denying @entity717 from lupus (n = 26). RESULTS: Education level, African-American race, and SLICC Damage Index score were significantly associated with @entity717 relative to other subjects. @entity149 ( @entity16135 .44, 95% CI 3.01, 68.20; p = 0.001), @entity1310 (OR 3.75, 95% CI 1.01, 13.9; p = 0.048), and discoid lupus ( @entity16133 .93, 95% CI 3.51, 113.3; p = 0.001) were all associated with formal disability. Formally disabled @entity1 had higher fatigue and @entity148 scores and more impaired quality of life in many domains relative to nondisabled subjects. Subjects with self-reported @entity717 also had @entity149 , high fatigue scores, and poor quality of life, but in other respects appeared to have milder disease than formally disabled subjects. CONCLUSION: @entity149 and fatigue are 2 manifestations that may contribute materially to @entity717 in lupus. Other associated factors include low education levels, SLICC Damage Index scores, discoid lupus, @entity1310 , and possibly African-American race.
