Biological variation of established and novel biomarkers for XXXX : Results from a prospective, parallel-group cohort study.

@entity1 @entity650 @entity2289 @entity3657 @entity1549 @entity4105 @entity2842 @entity38288 @entity1495 @entity731 @entity687 @entity688
BACKGROUND: Biomarkers are a promising tool for the management of @entity1 with @entity731 , but their variation is largely unknown. We assessed within-subject and between-subject biological variation of biomarkers in @entity3657 ( @entity3657 ) @entity1 and healthy controls, and defined which biomarkers have a favorable variation profile for future studies. METHODS: Prospective, parallel-group cohort study, including 62 @entity1 with stable @entity3657 (79% @entity1 , 65  7years) and 18 healthy control subjects (44% @entity1 , 57  7years). Blood samples were taken at baseline, and after 3-, 6-, and 12-months. We calculated within-subject (CVI) and between-subject (CVG) coefficients of variation and intra-class correlation coefficient (ICC). RESULTS: Mean levels of D-dimer, hs-CRP, @entity650 , @entity687 , @entity1495 , @entity1549 , @entity38288 , @entity2289 , sICAM-1, and sP-selectin levels were higher in @entity3657 @entity1 than in healthy controls (P <=.05 for all). CVI and CVG of the different biomarkers varied considerably in both groups. An ICC>= 0.5 (indicating moderate-to-good reliability) was found for hs-CRP, D-Dimer, @entity4105 , @entity688 , @entity2842 , @entity1549 , oxLDL, sICAM-1 and sP-selectin in both groups, for sVCAM in healthy controls and for @entity1495 , @entity2289 and sCD40L in @entity3657 @entity1 . CONCLUSIONS: Single biomarker measurements are of limited utility due to large within-subject variation, both in @entity3657 @entity1 and healthy subjects. D-dimer, hs-CRP, @entity1495 , @entity1549 , @entity2289 , sP-selectin and sICAM-1 are biomarkers with both higher mean levels in @entity3657 @entity1 and a favorable variation profile making them most suitable for future studies.
