Incidence of pulmonary embolism in non-critically ill COVID-19 patients. Predicting factors for a challenging diagnosis

Recent studies suggest that thrombotic complications are a common phenomenon in the novel SARS-CoV-2 infection. The main objective of our study is to assess cumulative incidence of pulmonary embolism (PE) in non critically ill COVID-19 patients and to identify its predicting factors associated to th...

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Veröffentlicht in:Journal of thrombosis and thrombolysis 2021-01, Vol.51 (1), p.40-46
Hauptverfasser: Mestre-Gómez, B., Lorente-Ramos, R. M., Rogado, J., Franco-Moreno, A., Obispo, B., Salazar-Chiriboga, D., Saez-Vaquero, T., Torres-Macho, J., Abad-Motos, A., Cortina-Camarero, C., Such-Diaz, A., Ruiz-Velasco, E., Churruca-Sarasqueta, J., Muñoz-Rivas, N.
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container_end_page 46
container_issue 1
container_start_page 40
container_title Journal of thrombosis and thrombolysis
container_volume 51
creator Mestre-Gómez, B.
Lorente-Ramos, R. M.
Rogado, J.
Franco-Moreno, A.
Obispo, B.
Salazar-Chiriboga, D.
Saez-Vaquero, T.
Torres-Macho, J.
Abad-Motos, A.
Cortina-Camarero, C.
Such-Diaz, A.
Ruiz-Velasco, E.
Churruca-Sarasqueta, J.
Muñoz-Rivas, N.
description Recent studies suggest that thrombotic complications are a common phenomenon in the novel SARS-CoV-2 infection. The main objective of our study is to assess cumulative incidence of pulmonary embolism (PE) in non critically ill COVID-19 patients and to identify its predicting factors associated to the diagnosis of pulmonary embolism. We retrospectevely reviewed 452 electronic medical records of patients admitted to Internal Medicine Department of a secondary hospital in Madrid during Covid 19 pandemic outbreak. We included 91 patients who underwent a multidetector Computed Tomography pulmonary angiography(CTPA) during conventional hospitalization. The cumulative incidence of PE was assessed ant the clinical, analytical and radiological characteristics were compared between patients with and without PE. PE incidence was 6.4% (29/452 patients). Most patients with a confirmed diagnosed with PE recieved low molecular weight heparin (LMWH): 79.3% (23/29). D-dimer peak was significatly elevated in PE vs non PE patients (14,480 vs 7230 mcg/dL, p = 0.03). In multivariate analysis of patients who underwent a CTPA we found that plasma D-dimer peak was an independen predictor of PE with a best cut off point of > 5000 µg/dl (OR 3.77; IC95% (1.18–12.16), p = 0.03). We found ninefold increased risk of PE patients not suffering from dyslipidemia (OR 9.06; IC95% (1.88–43.60). Predictive value of AUC for ROC is 75.5%. We found a high incidence of PE in non critically ill hospitalized COVID 19 patients despite standard thromboprophylaxis. An increase in D-dimer levels is an independent predictor for PE, with a best cut-off point of > 5000 µg/ dl.
doi_str_mv 10.1007/s11239-020-02190-9
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The main objective of our study is to assess cumulative incidence of pulmonary embolism (PE) in non critically ill COVID-19 patients and to identify its predicting factors associated to the diagnosis of pulmonary embolism. We retrospectevely reviewed 452 electronic medical records of patients admitted to Internal Medicine Department of a secondary hospital in Madrid during Covid 19 pandemic outbreak. We included 91 patients who underwent a multidetector Computed Tomography pulmonary angiography(CTPA) during conventional hospitalization. The cumulative incidence of PE was assessed ant the clinical, analytical and radiological characteristics were compared between patients with and without PE. PE incidence was 6.4% (29/452 patients). Most patients with a confirmed diagnosed with PE recieved low molecular weight heparin (LMWH): 79.3% (23/29). D-dimer peak was significatly elevated in PE vs non PE patients (14,480 vs 7230 mcg/dL, p = 0.03). In multivariate analysis of patients who underwent a CTPA we found that plasma D-dimer peak was an independen predictor of PE with a best cut off point of &gt; 5000 µg/dl (OR 3.77; IC95% (1.18–12.16), p = 0.03). We found ninefold increased risk of PE patients not suffering from dyslipidemia (OR 9.06; IC95% (1.88–43.60). Predictive value of AUC for ROC is 75.5%. We found a high incidence of PE in non critically ill hospitalized COVID 19 patients despite standard thromboprophylaxis. 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M.</creatorcontrib><creatorcontrib>Rogado, J.</creatorcontrib><creatorcontrib>Franco-Moreno, A.</creatorcontrib><creatorcontrib>Obispo, B.</creatorcontrib><creatorcontrib>Salazar-Chiriboga, D.</creatorcontrib><creatorcontrib>Saez-Vaquero, T.</creatorcontrib><creatorcontrib>Torres-Macho, J.</creatorcontrib><creatorcontrib>Abad-Motos, A.</creatorcontrib><creatorcontrib>Cortina-Camarero, C.</creatorcontrib><creatorcontrib>Such-Diaz, A.</creatorcontrib><creatorcontrib>Ruiz-Velasco, E.</creatorcontrib><creatorcontrib>Churruca-Sarasqueta, J.</creatorcontrib><creatorcontrib>Muñoz-Rivas, N.</creatorcontrib><creatorcontrib>Infanta Leonor Thrombosis Research Group</creatorcontrib><title>Incidence of pulmonary embolism in non-critically ill COVID-19 patients. Predicting factors for a challenging diagnosis</title><title>Journal of thrombosis and thrombolysis</title><addtitle>J Thromb Thrombolysis</addtitle><addtitle>J Thromb Thrombolysis</addtitle><description>Recent studies suggest that thrombotic complications are a common phenomenon in the novel SARS-CoV-2 infection. The main objective of our study is to assess cumulative incidence of pulmonary embolism (PE) in non critically ill COVID-19 patients and to identify its predicting factors associated to the diagnosis of pulmonary embolism. We retrospectevely reviewed 452 electronic medical records of patients admitted to Internal Medicine Department of a secondary hospital in Madrid during Covid 19 pandemic outbreak. We included 91 patients who underwent a multidetector Computed Tomography pulmonary angiography(CTPA) during conventional hospitalization. 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M. ; Rogado, J. ; Franco-Moreno, A. ; Obispo, B. ; Salazar-Chiriboga, D. ; Saez-Vaquero, T. ; Torres-Macho, J. ; Abad-Motos, A. ; Cortina-Camarero, C. ; Such-Diaz, A. ; Ruiz-Velasco, E. ; Churruca-Sarasqueta, J. ; Muñoz-Rivas, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-9df5eb68722f73209159782c6af697b99574931f3d34cae7f2e69668a1e0722c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Angiography</topic><topic>Anticoagulants - therapeutic use</topic><topic>Cardiology</topic><topic>Causality</topic><topic>Chemoprevention - methods</topic><topic>Chemoprevention - statistics &amp; numerical data</topic><topic>Computed tomography</topic><topic>Computed Tomography Angiography - methods</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>COVID-19 - diagnosis</topic><topic>COVID-19 - drug therapy</topic><topic>COVID-19 - physiopathology</topic><topic>Diagnosis</topic><topic>Dyslipidemia</topic><topic>Electronic Health Records - statistics &amp; numerical data</topic><topic>Electronic medical records</topic><topic>Embolism</topic><topic>Female</topic><topic>Fibrin Fibrinogen Degradation Products - analysis</topic><topic>Hematology</topic><topic>Heparin</topic><topic>Hospitalization - statistics &amp; numerical data</topic><topic>Humans</topic><topic>Incidence</topic><topic>Lung - blood supply</topic><topic>Lung - diagnostic imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Middle Aged</topic><topic>Molecular weight</topic><topic>Multivariate analysis</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Pulmonary Embolism - blood</topic><topic>Pulmonary Embolism - diagnostic imaging</topic><topic>Pulmonary Embolism - epidemiology</topic><topic>Pulmonary Embolism - etiology</topic><topic>Pulmonary embolisms</topic><topic>SARS-CoV-2 - isolation &amp; purification</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Spain - epidemiology</topic><topic>Thrombophilia - diagnosis</topic><topic>Thrombophilia - etiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mestre-Gómez, B.</creatorcontrib><creatorcontrib>Lorente-Ramos, R. 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We found a high incidence of PE in non critically ill hospitalized COVID 19 patients despite standard thromboprophylaxis. An increase in D-dimer levels is an independent predictor for PE, with a best cut-off point of &gt; 5000 µg/ dl.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32613385</pmid><doi>10.1007/s11239-020-02190-9</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-9774-963X</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; SpringerLink Journals - AutoHoldings
subjects Angiography
Anticoagulants - therapeutic use
Cardiology
Causality
Chemoprevention - methods
Chemoprevention - statistics & numerical data
Computed tomography
Computed Tomography Angiography - methods
Coronaviruses
COVID-19
COVID-19 - complications
COVID-19 - diagnosis
COVID-19 - drug therapy
COVID-19 - physiopathology
Diagnosis
Dyslipidemia
Electronic Health Records - statistics & numerical data
Electronic medical records
Embolism
Female
Fibrin Fibrinogen Degradation Products - analysis
Hematology
Heparin
Hospitalization - statistics & numerical data
Humans
Incidence
Lung - blood supply
Lung - diagnostic imaging
Male
Medicine
Medicine & Public Health
Middle Aged
Molecular weight
Multivariate analysis
Pandemics
Patients
Pulmonary Embolism - blood
Pulmonary Embolism - diagnostic imaging
Pulmonary Embolism - epidemiology
Pulmonary Embolism - etiology
Pulmonary embolisms
SARS-CoV-2 - isolation & purification
Severe acute respiratory syndrome coronavirus 2
Spain - epidemiology
Thrombophilia - diagnosis
Thrombophilia - etiology
title Incidence of pulmonary embolism in non-critically ill COVID-19 patients. Predicting factors for a challenging diagnosis
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