Venous Thromboembolism Risk Assessment in Hospitalized Cancer Patients: A Single Center Study.
Ontology highlight
ABSTRACT: This study aimed to identify predictors of venous thromboembolism (VTE) in hospitalized cancer patients and develop a predictive model using demographic, clinical, and laboratory data. Our analysis showed that patient groups categorized under a very high risk, and high risk, patients with low hemoglobin levels and renal disease were at a significantly increased risk of developing VTE. We developed a VTE risk-assessment model (RAM) with moderate discriminatory performance, high specificity, and negative predictive value, indicating its potential utility in identifying patients without VTE risk. However, the model's positive predictive value and sensitivity were low due to the low prevalence of VTE within the analyzed population. Future studies are needed to analyze additional predictive fac
SUBMITTER: Rayamajhi S
PROVIDER: S-EPMC10621296 | biostudies-literature | 2023 Jan-Dec
REPOSITORIES: biostudies-literature
ACCESS DATA