UNASSIGNED: 99 Background: The @entity1295 of @entity2590 is typically attributed to @entity417 and inflammatory cytokines expressed by hematopoietic cells. In contrast, the burden and impact of @entity25 in @entity2590 has not been well-described. METHODS: Starting in January 2006, @entity1 with @entity2590 seen at least twice at the Dana-Farber @entity5 Institute (DFCI) were enrolled in a clinical database and underwent baseline administration of the EORTC QLQ-C30. This measure includes a question about @entity25 ("have you had @entity25 ") as well as a three-item @entity1295 assessment. For this analysis, we first determined if there were differences in @entity1295 assessment score by self-reported @entity25 , hemoglobin (Hb) and other clinical characteristics (age, gender, cytogenetic category, and blasts) using ANOVA. Next, a multivariable logistic regression model was created to determine the independent contribution of each factor to @entity1295 score above or below the sample median. RESULTS: 251 @entity1 had complete clinical and QLQ-C30 data. Median age was 68 years; 68% were @entity1 . The IPSS distribution was 18% Low, 38% @entity18142 , 29% @entity10006 and 15% High. Median @entity1295 score was 33 out of 100 (IQR 33-56; reference value for similar-aged @entity5 @entity1 @entity16222 with IQR 11-56). The majority (53%) reported @entity25 , which was strongly associated with increased @entity1295 (p<0.001). Among clinical factors, only lower Hb was also associated with @entity1295 (p<0.001). @entity25 did not vary with IPSS category (p=0.40), and was not strongly correlated with Hb (  = 0.10). On multivariable analysis adjusting for age, gender, cytogenetics and blasts, Hb < 10 g/dL and the two highest levels of @entity25 independently predicted @entity1295 score above the median (p=0.003). CONCLUSIONS: Poor sleep is prevalent among @entity1 with @entity2590 , and is an independent predictor of @entity1295 when controlling for Hb. These data suggest that in addition to @entity417 , @entity25 should be addressed to relieve @entity2590 . [Table: see text].

Impact of @entity25 in @entity2590 ( XXXX ).

@entity1 :: ('9606', 'Species') :: ['men', 'patients'] @entity18142 :: ('7471', 'Gene') :: ['Int-1'] @entity417 :: ('MESH:D000740', 'Disease') :: ['anemia'] @entity16222 :: ('MESH:C038900', 'Chemical') :: ['is 33'] @entity5 :: ('MESH:D009369', 'Disease') :: ['cancer', 'Cancer'] @entity2590 :: ('MESH:D009190', 'Disease') :: ['MDS-related fatigue', 'MDS'] @entity1295 :: ('MESH:D005221', 'Disease') :: ['fatigue'] @entity25 :: ('MESH:D012893', 'Disease') :: ['trouble sleeping', 'Sleep disturbance', 'sleep disturbance'] @entity10006 :: ('2248', 'Gene') :: ['Int-2']
@entity2590 :: (MESH:D009190,Disease) :: ['MDS']
