Literature DB >> 29074107

Risk factors for presence and severity of pulmonary embolism in patients with deep venous thrombosis.

Nancy Huynh1, Wassim H Fares2, Kirstyn Brownson3, Anand Brahmandam3, Alfred I Lee4, Alan Dardik5, Timur Sarac5, Cassius Iyad Ochoa Chaar6.   

Abstract

OBJECTIVE: The Caprini model estimates patients' risk for venous thromboembolism by 30 different factors. Hemodynamically significant pulmonary embolism (PE), defined as high-risk (massive) or intermediate-risk (submassive) PE, has high morbidity and mortality rates. This study tests whether the Caprini model and deep venous thrombosis (DVT) characteristics correlate with the prevalence of PE and hemodynamically significant PE in patients with DVT.
METHODS: A retrospective review of patients diagnosed with DVT between January 2013 and August 2014 in a tertiary care center was performed. Multivariable analysis was used to determine predictors of PE and hemodynamically significant PE.
RESULTS: Of 838 consecutive patients with DVT, 217 (25.9%) had concomitant PE at presentation, of whom 135 had hemodynamically significant PE (101 submassive PE, 34 massive PE). The mean age was 65 years, and 51.0% were women. There was no significant relation between age or gender and the occurrence of PE or hemodynamically significant PE. Patients with PE were less likely to have undergone recent surgery (18.4% vs 30.3%; P = .001), to have sepsis (4.6% vs 11.8%; P = .002), and to have higher Caprini scores (6.1 vs 6.5; P = .047). Patients with DVT were less likely to have hemodynamically significant PE after recent surgery (13.3% vs 27.2%; P = .011) but more likely to have hemodynamically significant PE with proximal DVT (80.7% vs 64.2%). There was no association between Caprini score and hemodynamically significant PE (6.3 vs 5.7; P = .171).
CONCLUSIONS: The Caprini model has a poor association with PE or hemodynamically significant PE in patients with DVT. Among all patients with DVT, a concomitant diagnosis of PE or hemodynamically significant PE is less common in those with sepsis or undergoing recent surgery but more common in those with proximal DVT.
Copyright © 2017 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29074107     DOI: 10.1016/j.jvsv.2017.08.015

Source DB:  PubMed          Journal:  J Vasc Surg Venous Lymphat Disord


  2 in total

1.  Construction of a Risk Prediction Model for Hospital-Acquired Pulmonary Embolism in Hospitalized Patients.

Authors:  Lengchen Hou; Longjun Hu; Wenxue Gao; Wenbo Sheng; Zedong Hao; Yiwei Chen; Jiyu Li
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

2.  Venous thromboembolism risk assessment of surgical patients in Southwest China using real-world data: establishment and evaluation of an improved venous thromboembolism risk model.

Authors:  Peng Wang; Yao Wang; Zhaoying Yuan; Fei Wang; Hongqian Wang; Ying Li; Chengliang Wang; Linfeng Li
Journal:  BMC Med Inform Decis Mak       Date:  2022-03-04       Impact factor: 2.796

  2 in total

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