BACKGROUND: We previously reported the development of a novel high dimensional cytomic assay, the Vascular Health Profile (VHP) based on measurements of angiogenic circulating hematopoietic stem and progenitor cells ( @entity7741 ) and extracellular vesicles (EVs), that discovered a unique signature, differentiating the vascular status of diabetics and normal healthy controls. Here we present data from a 3-year follow-up to evaluate the power of the VHP to identify individuals at risk for cardiovascular (CV) events. METHODS: The original data were generated as previously described by measuring a broad panel of progenitor cells and EVs and profiled using cytometric fingerprinting. Subjects were classified into groups according to the occurrence of adjudicated CV events including @entity583 , @entity64 , major adverse cardiovascular events, revascularization and irregular rhythm. Cross-validated Linear Discriminate Analysis (LDA) models were constructed and used to predict the occurrence of events, and were evaluated for predictive accuracy (AUC, area under the curve) using Receiver Operating Characteristic (ROC) analysis. RESULTS: Over the period of this analysis, follow-up data was obtained on 87 subjects, with 32 events occurring overall, and only in the @entity6 group. In all cases, the VHP added significant predictive power, in the form of ROC analysis, for all evaluated outcomes with the exception of irregular rhythm. CONCLUSIONS: The Vascular Health Profile, a relatively simple blood test, can provide sensitive and clinically relevant information on the vascular status of a @entity1 that may be may be useful for a variety of applications including drug development, clinical risk assessment and companion diagnostics. This article is protected by copyright. All rights reserved.

Vascular Health Profile Predicts Cardiovascular Outcomes in XXXX with @entity6 : Rogers: Vascular Health Profile and Vascular Events.

@entity1 :: ('9606', 'Species') :: ['patient'] @entity64 :: ('MESH:D020521', 'Disease') :: ['stroke'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetic'] @entity583 :: ('MESH:D009203', 'Disease') :: ['myocardial infarction'] @entity7741 :: ('283', 'Gene') :: ['CHSPC(Ang)']
@entity1 :: (9606,Species) :: ['Patients']
