ABSTRACT
Pulmonary embolism is a frequent and potentially fatal disease. The major challenge of initial management lies in prognostic stratification. Since 2014, the European recommendations on the diagnosis and management of acute pulmonary embolism are based on assessing the risk stratification regarding hemodynamic status first, then on a combined risk assessment model using a clinical score, an imaging evaluation of right heart size and the concentration of a serum cardiac biomarker. Usual biomarkers cover cardiac ischemia (troponin and derivates) and dilatation (BNP and derivates). The aim of this review is to offer a practical update on the role of the Troponins and BNPs families of biomarkers and the prognosis of pulmonary embolism, and furthermore, to provide a brief overview of their place in current management.
Subject(s)
Natriuretic Peptide, Brain , Pulmonary Embolism , Acute Disease , Biomarkers , Humans , Prognosis , Pulmonary Embolism/complications , Pulmonary Embolism/diagnosis , Risk Assessment/methods , TroponinABSTRACT
Apixaban is a direct oral anticoagulant (DOAC). Many studies have shown that it shows high pharmacokinetic interindividual and intraindividual variability (IIV). The risk of hemorrhage is a major concern for patients treated with apixaban to undergo an operation or an invasive procedure. Due to this large pharmacokinetic variability, the current recommendations concerning the optimal duration of apixaban discontinuation before a high-bleeding risk procedure concern the general population and not a specific patient. The aim of this study was (1) to investigate by simulation the distribution of decay time of apixaban concentration and (2) to develop and validate an easy-to-use web tool to estimate the individual decay time of apixaban in a "real-life" situation. A systematic review of the literature was conducted to select the relevant pharmacokinetic models for the creation of the web tool. For each model, pharmacokinetic profiles were simulated and the time to reach concentrations below the threshold of 30 ng/ml (T30) was calculated. One of the selected models was chosen to perform a Bayesian estimation and predict the optimal duration of apixaban discontinuation before a high-bleeding risk procedure. All these results were concatenated into the PrevBleed application developed with the R Shiny package.
