@entity28 and the white blood cell count: changes with sustained XXXX .

@entity1 @entity353 @entity28 @entity1674 @entity2690 @entity1503 @entity3813 @entity209
BACKGROUND: @entity28 is a chronic inflammatory condition, and elevated @entity1503 ( @entity1503 ) have widely recognized associations with inflammatory conditions. The authors explored the relationship between the @entity1503 and degree of @entity28 , basic anthropometry, and clinical and biochemical markers of the @entity209 at baseline, and with @entity353 following @entity3813 -Band surgery. METHODS: 477 @entity1 with complete biochemical and clinical data at baseline and at 2 years were selected for analysis. Paired analysis assessed the change in @entity1503 at 2 years, and stepwise linear regression assessed factors independently associated with baseline counts and any change at 2 years. RESULTS: Mean +/- SD @entity353 at 2 years was 29.3 +/- 16.2 kg. There were significant decreases in total @entity1503 (-12.2%), and major components, neutrophils (11.7%) and lymphocytes (6.9%), at 2 years (P<0.001 for all). Baseline @entity1503 , neutrophils and lymphocyte counts increased with increasing BMI and decreased with age. @entity2690 levels were independently positively associated with higher neutrophil counts and @entity1674 with higher lymphocyte counts. Age, gender, BMI and components of the @entity209 when modeled together accounted for <10% of the variance of baseline counts. Higher BMI predicted a greater fall in the neutrophil counts at 2 years. Change in BMI at 2 years was the only independent predictor of the change in both neutrophils and lymphocytes, but accounted for <10% of the variance of change. CONCLUSION: BMI contributes to both baseline and @entity353 @entity1503 . However, crude @entity1503 counts are influenced in minor ways by @entity28 markers and have limited value as clinical markers.
