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 |
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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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Predicting factors for a challenging diagnosis</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><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.</creator><creatorcontrib>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. ; Infanta Leonor Thrombosis Research Group</creatorcontrib><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.</description><identifier>ISSN: 0929-5305</identifier><identifier>EISSN: 1573-742X</identifier><identifier>DOI: 10.1007/s11239-020-02190-9</identifier><identifier>PMID: 32613385</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>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</subject><ispartof>Journal of thrombosis and thrombolysis, 2021-01, Vol.51 (1), p.40-46</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-9df5eb68722f73209159782c6af697b99574931f3d34cae7f2e69668a1e0722c3</citedby><cites>FETCH-LOGICAL-c474t-9df5eb68722f73209159782c6af697b99574931f3d34cae7f2e69668a1e0722c3</cites><orcidid>0000-0001-9774-963X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11239-020-02190-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11239-020-02190-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32613385$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mestre-Gómez, B.</creatorcontrib><creatorcontrib>Lorente-Ramos, R. 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. 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.</description><subject>Angiography</subject><subject>Anticoagulants - therapeutic use</subject><subject>Cardiology</subject><subject>Causality</subject><subject>Chemoprevention - methods</subject><subject>Chemoprevention - statistics & numerical data</subject><subject>Computed tomography</subject><subject>Computed Tomography Angiography - methods</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>COVID-19 - diagnosis</subject><subject>COVID-19 - drug therapy</subject><subject>COVID-19 - physiopathology</subject><subject>Diagnosis</subject><subject>Dyslipidemia</subject><subject>Electronic Health Records - statistics & numerical data</subject><subject>Electronic medical records</subject><subject>Embolism</subject><subject>Female</subject><subject>Fibrin Fibrinogen Degradation Products - analysis</subject><subject>Hematology</subject><subject>Heparin</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Incidence</subject><subject>Lung - blood supply</subject><subject>Lung - diagnostic imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Molecular weight</subject><subject>Multivariate analysis</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Pulmonary Embolism - blood</subject><subject>Pulmonary Embolism - diagnostic imaging</subject><subject>Pulmonary Embolism - epidemiology</subject><subject>Pulmonary Embolism - etiology</subject><subject>Pulmonary embolisms</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Spain - epidemiology</subject><subject>Thrombophilia - diagnosis</subject><subject>Thrombophilia - etiology</subject><issn>0929-5305</issn><issn>1573-742X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kTtvFDEUhS1ERJbAH6BAlmhoJvFjxp7bIKHltVKkUACis7wee-LIYy_2TFD-PV42JIGCwnJxv3PuPToIvaDklBIizwqljENDGKmPAmngEVrRTvJGtuz7Y7QiwKDpOOmO0dNSrgghAIQ9QcecCcp5363Qz000frDRWJwc3i1hSlHnG2ynbQq-TNhHHFNsTPazNzqEG-xDwOuLb5t3DQW807O3cS6n-HO2gzezjyN22swpF-xSxhqbyyqzcdxPBq_HmIovz9CR06HY57f_Cfr64f2X9afm_OLjZv32vDGtbOcGBtfZreglY05yRoB2IHtmhHYC5Bagky1w6vjAW6OtdMwKEKLX1JKqMfwEvTn47pbtZAdTb806qF32U42pkvbq70n0l2pM16pukxR4NXh9a5DTj8WWWU2-GBuCjjYtRbGWgqQUxB599Q96lZYca7xK9YTyTlBZKXagTE6lZOvujqFE7XtVh15V7VX97lVBFb18GONO8qfICvADUOoojjbf7_6P7S85vK6M</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Mestre-Gómez, B.</creator><creator>Lorente-Ramos, R. 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Predicting factors for a challenging diagnosis</title><author>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.</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 & 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 & 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 & 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 & 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 & 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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Predicting factors for a challenging diagnosis</atitle><jtitle>Journal of thrombosis and thrombolysis</jtitle><stitle>J Thromb Thrombolysis</stitle><addtitle>J Thromb Thrombolysis</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>51</volume><issue>1</issue><spage>40</spage><epage>46</epage><pages>40-46</pages><issn>0929-5305</issn><eissn>1573-742X</eissn><abstract>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.</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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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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