Ontology highlight
ABSTRACT: Introduction
Patients with lower-leg cast immobilization and patients undergoing knee arthroscopy have an increased risk of venous thrombosis (VT). Guidelines are ambiguous about thromboprophylaxis use, and individual risk factors for developing VT are often ignored. To assist in VT risk stratification and guide thromboprophylaxis use, various prediction models have been developed. These models depend largely on clinical factors and provide reasonably good C-statistics of around 70%. We explored using protein levels in blood plasma measured by multiplexed quantitative targeted proteomics to predict VT. Our aim was to assess whether a VT risk prediction model based on absolute plasma protein quantification is possible.Methods
We used internal standards to quantify proteins i
SUBMITTER: Mohammed Y
PROVIDER: S-EPMC9303526 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature