Experience in 207 Combined MRI Examinations for Acute Pulmonary Embolism and Deep Vein Thrombosis

2006 ◽  
Vol 186 (6) ◽  
pp. 1686-1696 ◽  
Author(s):  
Alexander Kluge ◽  
Clemens Mueller ◽  
Johannes Strunk ◽  
Uwe Lange ◽  
Georg Bachmann
Keyword(s):  
Pulmonary Embolism ◽  
Deep Vein Thrombosis ◽  
Acute Pulmonary Embolism ◽  
Vein Thrombosis ◽  
Deep Vein

Clinical Assessment of Fondaparinux for Treatment of Acute Pulmonary Embolism and Acute Deep Vein Thrombosis in Japanese Patients

CHEST Journal ◽  
2010 ◽  
Vol 138 (4) ◽  
pp. 409A ◽  
Author(s):  
Mashio Nakamura ◽  
Yoshiaki Okano ◽  
Hiroki Minamigichi ◽  
Hiroshi Tsujimoto ◽  
Hiromu Nakajima ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Deep Vein Thrombosis ◽  
Clinical Assessment ◽  
Acute Pulmonary Embolism ◽  
Japanese Patients ◽  
Vein Thrombosis ◽  
Acute Deep Vein Thrombosis ◽  
Deep Vein

scholarly journals Acute pulmonary embolism complicating deep vein thrombosis in a young patient with stroke

2021 ◽  
Vol 11 (2) ◽  
pp. 142-144
Author(s):  
Mohammed Mirazur Rahman ◽  
Farjana Binte Habib ◽  
Ahmed Imran Kabir ◽  
Samprity Islam ◽  
Rajashish Chakrabortty ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Deep Vein Thrombosis ◽  
Lower Limb ◽  
Acute Pulmonary Embolism ◽  
Successful Outcome ◽  
Shortness Of Breath ◽  
Vein Thrombosis ◽  
Doppler Study ◽  
Left Lower Limb ◽  
Deep Vein

Acute pulmonary embolism is one of the most common causes of vascular death after myocardial infarction and cerebrovascular accidents. It usually presents with severe chest pain and shortness of breath and occasionally occurs in the background of deep vein thrombosis. A 32-year-old male presented with swelling of left lower limb and shortness of breath. Subsequent investigations revealed that he developed DVT of left lower limb and pulmonary embolism. However, in general, if left untreated, pulmonary embolism is associated with an overall mortality of up to 30 percent compared with 2 to 11 percent in those treated with anticoagulation. Early diagnosis by D-dimer, computed tomograpgy pulmonary angiogram and doppler study of the left lower limb and prompt intervention through low molecular weight heparin and rivaroxaban led to a successful outcome in our case. Birdem Med J 2021; 11(2): 142-144

scholarly journals Development and validation of a prediction model to estimate risk of acute pulmonary embolism in deep vein thrombosis patients

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
You Li ◽  
Yuncong He ◽  
Yan Meng ◽  
Bowen Fu ◽  
Shuanglong Xue ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Deep Vein Thrombosis ◽  
Prediction Model ◽  
Acute Pulmonary Embolism ◽  
Predictive Accuracy ◽  
Pulmonary Angiography ◽  
Brier Score ◽  
Axis Deviation ◽  
Vein Thrombosis ◽  
Deep Vein

AbstractVenous thromboembolism (VTE), clinically presenting as deep vein thrombosis (DVT) or pulmonary embolism (PE). Not all DVT patients carry the same risk of developing acute pulmonary embolism (APE). To develop and validate a prediction model to estimate risk of APE in DVT patients combined with past medical history, clinical symptoms, physical signs, and the sign of the electrocardiogram. We analyzed data from a retrospective cohort of patients who were diagnosed as symptomatic VTE from 2013 to 2018 (n = 1582). Among them, 122 patients were excluded. All enrolled patients confirmed by pulmonary angiography or computed tomography pulmonary angiography (CTPA) and compression venous ultrasonography. Using the LASSO and logistics regression, we derived a predictive model with 16 candidate variables to predict the risk of APE and completed internal validation. Overall, 52.9% patients had DVT + APE (773 vs 1460), 47.1% patients only had DVT (687 vs 1460). The APE risk prediction model included one pre-existing disease or condition (respiratory failure), one risk factors (infection), three symptoms (dyspnea, hemoptysis and syncope), five signs (skin cold clammy, tachycardia, diminished respiration, pulmonary rales and accentuation/splitting of P2), and six ECG indicators (SIQIIITIII, right axis deviation, left axis deviation, S1S2S3, T wave inversion and Q/q wave), of which all were positively associated with APE. The ROC curves of the model showed AUC of 0.79 (95% CI, 0.77–0.82) and 0.80 (95% CI, 0.76–0.84) in the training set and testing set. The model showed good predictive accuracy (calibration slope, 0.83 and Brier score, 0.18). Based on a retrospective single-center population study, we developed a novel prediction model to identify patients with different risks for APE in DVT patients, which may be useful for quickly estimating the probability of APE before obtaining definitive test results and speeding up emergency management processes.

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