Literature DB >> 22383664

Usefulness of preemptive anticoagulation in patients with suspected pulmonary embolism: a decision analysis.

Marc Blondon1, Marc Righini2, Drahomir Aujesky3, Grégoire Le Gal4, Arnaud Perrier5.   

Abstract

BACKGROUND: The diagnostic workup of pulmonary embolism (PE) may take several hours. The usefulness of anticoagulant treatment while awaiting the results of diagnostic tests has not been assessed. The objective of this study was to compare the risks and benefits of bid low-molecular-weight heparin vs no treatment in patients with suspected PE.
METHODS: We developed a decision tree with the following outcomes: mortality related to untreated and treated PE, mortality due to major hemorrhage, and intracranial bleeding. The timeframe extended from the suspicion of PE to its confirmation or exclusion. Most probabilities were derived from data from the Computerized Registry of Patients with VTE (RIETE). We estimated the incidence of bleeding by categories of clinical prediction rules of PE from a recent diagnostic management study of PE. Uncertainty was assessed through one-way and probabilistic sensitivity analyses.
RESULTS: The model favored preemptive anticoagulation if the diagnostic delay was > 6.3 h, > 2.3 h, and > 0.3 h (Revised Geneva low, intermediate, and high probability) and > 8.1 h and > 1.7 h (Wells unlikely and likely). With a diagnostic delay of 6 h, the absolute mortality reduction with anticoagulation was 0%, 0.02%, and 0.1% for low, intermediate, and high clinical probability, respectively. In one-way sensitivity analyses, the mortality of untreated PE was the most critical variable. Probabilistic analyses reinforced the superiority of anticoagulation in intermediate- and high-probability patients and suggested that low-probability patients might not benefit from treatment after diagnostic delays of < 6 to 8 h.
CONCLUSIONS: Our model suggests that patients with intermediate and high/likely probabilities of PE benefit from preemptive anticoagulation. With a low probability, the decision to treat may rely on the expected diagnostic delay.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22383664     DOI: 10.1378/chest.11-2694

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  5 in total

Review 1.  Rivaroxaban for the treatment of pulmonary embolism.

Authors:  Thomas Vanassche; Peter Verhamme
Journal:  Adv Ther       Date:  2013-06-27       Impact factor: 3.845

2.  Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support.

Authors:  Imon Banerjee; Miji Sofela; Jaden Yang; Jonathan H Chen; Nigam H Shah; Robyn Ball; Alvin I Mushlin; Manisha Desai; Joseph Bledsoe; Timothy Amrhein; Daniel L Rubin; Roham Zamanian; Matthew P Lungren
Journal:  JAMA Netw Open       Date:  2019-08-02

3.  Predicting thromboembolic complications in COVID-19 ICU patients using machine learning.

Authors:  Davy van de Sande; Michel E van Genderen; Babette Rosman; Maren Diether; Henrik Endeman; Johannes P C van den Akker; Martijn Ludwig; Joost Huiskens; Diederik Gommers; Jasper van Bommel
Journal:  J Clin Transl Res       Date:  2020-10-14

Review 4.  Approach to Adult Patients with Acute Dyspnea.

Authors:  Elizabeth DeVos; Lisa Jacobson
Journal:  Emerg Med Clin North Am       Date:  2016-02       Impact factor: 2.264

5.  PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.

Authors:  Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Chris Chute; Robyn L Ball; Norah Borus; Andrew Huang; Bhavik N Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; Katie Shpanskaya; Abhay Dhaliwal; Roham Zamanian; Andrew Y Ng; Matthew P Lungren
Journal:  NPJ Digit Med       Date:  2020-04-24
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.