Elevated levels of D-dimer in patients with COVID-19: prognosis value
Identifieur interne : 000751 ( Main/Exploration ); précédent : 000750; suivant : 000752Elevated levels of D-dimer in patients with COVID-19: prognosis value
Auteurs : Sara Oualim [Maroc] ; Salma Abdeladim [Maroc] ; Amal El Ouarradi [Maroc] ; Ilham Bensahi [Maroc] ; Sara Hafid [Maroc] ; Abdelhamid Naitlho [Maroc] ; Elarbi Bouaiti [Maroc] ; Mohamed Sabry [Maroc]Source :
- The Pan African Medical Journal [ 1937-8688 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Bases de données factuelles (MeSH), Femelle (MeSH), Humains (MeSH), Maroc (MeSH), Marqueurs biologiques (sang), Mortalité hospitalière (MeSH), Mâle (MeSH), Produits de dégradation de la fibrine et du fibrinogène (métabolisme), Pronostic (MeSH), Sensibilité et spécificité (MeSH), Sujet âgé (MeSH).
- MESH :
- Wicri :
- geographic : Maroc.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Biomarkers (blood), COVID-19 (blood), COVID-19 (diagnosis), COVID-19 (mortality), Databases, Factual (MeSH), Female (MeSH), Fibrin Fibrinogen Degradation Products (metabolism), Hospital Mortality (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Morocco (MeSH), Prognosis (MeSH), SARS-CoV-2 (MeSH), Sensitivity and Specificity (MeSH).
- MESH :
- chemical , blood : Biomarkers.
- geographic : Morocco.
- blood : COVID-19.
- diagnosis : COVID-19.
- chemical , metabolism : Fibrin Fibrinogen Degradation Products.
- mortality : COVID-19.
- Adult, Aged, Databases, Factual, Female, Hospital Mortality, Humans, Male, Middle Aged, Prognosis, SARS-CoV-2, Sensitivity and Specificity.
Abstract
coronavirus disease is now a global pandemic due to rapid human-to-human transmission. It can cause mild to fatal respiratory, cardiovascular, and neurological diseases. We aimed to find out whether elevated D-dimer levels are a predictor of the bad progression of COVID-19 to help reducing the mortality.
the data of COVID-19 patients from March 21, 2020 to April 24, 2020 were retrieved from the Cheick Khalifa Hospital database. We used the receiver operating characteristic (ROC) curve to get the optimum cutoff value of D-dimer levels on admission and after 5 days. We used these cutoffs to divide patients into two groups and compare the in-hospital mortality between them to assess the prognosis value of D-dimer levels.
the data of COVID-19 patients from March 21, 2020 to April 24, 2020 were retrieved from the Cheick Khalifa Hospital database. We used the receiver operating characteristic (ROC) curve to get the optimum cutoff value of D-dimer levels on admission and after 5 days. We used these cutoffs to divide patients into two groups and compare the in-hospital mortality between them to assess the prognosis value of D-dimer levels. 89 patients were included in this study, of whom 79 were discharged and 10 died in hospital. The optimum cutoff value to predict mortality in patient using D-dimer levels on admission was 668 ng/ml (sensitivity 90%, specificity 63.3%, Areas under the ROC curve 0,775). As for D-dimer levels on day 5, it was 1360 ng/ml (sensitivity 100%, specificity 88,6%, Areas under the ROC curve 0.946). The group with D-dimer levels on day 5 > 1360 ng/ml (19 patients) had a worst evolution and a higher incidence of mortality compared to the group with D-dimer < 1360 ng/ml (69 patients) (10/19 vs 0/69, P = 0,0002).
D-dimer greater than 1360 ng/ml on day 5 could help clinicians identify patients with poor prognosis at an early stage of COVID-19.
Url:
DOI: 10.11604/pamj.supp.2020.35.2.24692
PubMed: 33282060
PubMed Central: 7687553
Affiliations:
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Bensahi</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca</wicri:regionArea></affiliation></author><author><name sortKey="Hafid, Sara" sort="Hafid, Sara" uniqKey="Hafid S" first="Sara" last="Hafid">Sara Hafid</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), 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Casablanca</wicri:regionArea></affiliation></author><author><name sortKey="Abdeladim, Salma" sort="Abdeladim, Salma" uniqKey="Abdeladim S" first="Salma" last="Abdeladim">Salma Abdeladim</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca</wicri:regionArea></affiliation></author><author><name sortKey="Ouarradi, Amal El" sort="Ouarradi, Amal El" uniqKey="Ouarradi A" first="Amal El" last="Ouarradi">Amal El Ouarradi</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca</wicri:regionArea></affiliation></author><author><name sortKey="Bensahi, Ilham" sort="Bensahi, Ilham" uniqKey="Bensahi I" first="Ilham" last="Bensahi">Ilham Bensahi</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca</wicri:regionArea></affiliation></author><author><name sortKey="Hafid, Sara" sort="Hafid, Sara" uniqKey="Hafid S" first="Sara" last="Hafid">Sara Hafid</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca</wicri:regionArea></affiliation></author><author><name sortKey="Naitlho, Abdelhamid" sort="Naitlho, Abdelhamid" uniqKey="Naitlho A" first="Abdelhamid" last="Naitlho">Abdelhamid Naitlho</name><affiliation wicri:level="1"><nlm:aff id="aff2">Department of internal medecine, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of internal medecine, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca</wicri:regionArea></affiliation></author><author><name sortKey="Bouaiti, Elarbi" sort="Bouaiti, Elarbi" uniqKey="Bouaiti E" first="Elarbi" last="Bouaiti">Elarbi Bouaiti</name><affiliation wicri:level="1"><nlm:aff id="aff3">Laboratory of Biostatistics, Clinical Research and Epidemiology, Faculty of Medicine and Pharmacy Mohammed V University, Rabat, Morocco.</nlm:aff><country xml:lang="fr" wicri:curation="lc">Maroc</country><wicri:regionArea>Laboratory of Biostatistics, Clinical Research and Epidemiology, Faculty of Medicine and Pharmacy Mohammed V University, Rabat</wicri:regionArea></affiliation></author><author><name sortKey="Sabry, Mohamed" sort="Sabry, Mohamed" uniqKey="Sabry M" first="Mohamed" last="Sabry">Mohamed Sabry</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco,</nlm:aff><country xml:lang="fr">Maroc</country><wicri:regionArea>Department of cardiology, Cheick Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca</wicri:regionArea></affiliation></author></analytic><series><title level="j">The Pan African Medical Journal</title><idno type="eISSN">1937-8688</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Biomarkers (blood)</term><term>COVID-19 (blood)</term><term>COVID-19 (diagnosis)</term><term>COVID-19 (mortality)</term><term>Databases, Factual (MeSH)</term><term>Female (MeSH)</term><term>Fibrin Fibrinogen Degradation Products (metabolism)</term><term>Hospital Mortality (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Morocco (MeSH)</term><term>Prognosis (MeSH)</term><term>SARS-CoV-2 (MeSH)</term><term>Sensitivity and Specificity (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Bases de données factuelles (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Maroc (MeSH)</term><term>Marqueurs biologiques (sang)</term><term>Mortalité hospitalière (MeSH)</term><term>Mâle (MeSH)</term><term>Produits de dégradation de la fibrine et du fibrinogène (métabolisme)</term><term>Pronostic (MeSH)</term><term>Sensibilité et spécificité (MeSH)</term><term>Sujet âgé (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Biomarkers</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Morocco</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>COVID-19</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>COVID-19</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Fibrin Fibrinogen Degradation Products</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>COVID-19</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Produits de dégradation de la fibrine et du fibrinogène</term></keywords><keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Marqueurs biologiques</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Databases, Factual</term><term>Female</term><term>Hospital Mortality</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Prognosis</term><term>SARS-CoV-2</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Bases de données factuelles</term><term>Femelle</term><term>Humains</term><term>Maroc</term><term>Mortalité hospitalière</term><term>Mâle</term><term>Pronostic</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Maroc</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="st1"><title>Introduction:</title><p>coronavirus disease is now a global pandemic due to rapid human-to-human transmission. It can cause mild to fatal respiratory, cardiovascular, and neurological diseases. We aimed to find out whether elevated D-dimer levels are a predictor of the bad progression of COVID-19 to help reducing the mortality.</p></sec><sec id="st2"><title>Methods:</title><p>the data of COVID-19 patients from March 21, 2020 to April 24, 2020 were retrieved from the Cheick Khalifa Hospital database. We used the receiver operating characteristic (ROC) curve to get the optimum cutoff value of D-dimer levels on admission and after 5 days. We used these cutoffs to divide patients into two groups and compare the in-hospital mortality between them to assess the prognosis value of D-dimer levels.</p></sec><sec id="st3"><title>Results:</title><p>the data of COVID-19 patients from March 21, 2020 to April 24, 2020 were retrieved from the Cheick Khalifa Hospital database. We used the receiver operating characteristic (ROC) curve to get the optimum cutoff value of D-dimer levels on admission and after 5 days. We used these cutoffs to divide patients into two groups and compare the in-hospital mortality between them to assess the prognosis value of D-dimer levels. 89 patients were included in this study, of whom 79 were discharged and 10 died in hospital. The optimum cutoff value to predict mortality in patient using D-dimer levels on admission was 668 ng/ml (sensitivity 90%, specificity 63.3%, Areas under the ROC curve 0,775). As for D-dimer levels on day 5, it was 1360 ng/ml (sensitivity 100%, specificity 88,6%, Areas under the ROC curve 0.946). The group with D-dimer levels on day 5 > 1360 ng/ml (19 patients) had a worst evolution and a higher incidence of mortality compared to the group with D-dimer < 1360 ng/ml (69 patients) (10/19 vs 0/69, P = 0,0002).</p></sec><sec id="st4"><title>Conclusion:</title><p>D-dimer greater than 1360 ng/ml on day 5 could help clinicians identify patients with poor prognosis at an early stage of COVID-19.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Chan, Jf" uniqKey="Chan J">JF Chan</name></author><author><name sortKey="Yuan, S" uniqKey="Yuan S">S Yuan</name></author><author><name sortKey="Kok, Kh" uniqKey="Kok K">KH Kok</name></author><author><name sortKey="To, Kk" uniqKey="To K">KK To</name></author><author><name sortKey="Chu, H" uniqKey="Chu H">H Chu</name></author><author><name sortKey="Yang, J" uniqKey="Yang J">J Yang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chih, Cl" uniqKey="Chih 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P">PL Harper</name></author><author><name sortKey="Theakston, E" uniqKey="Theakston E">E Theakston</name></author><author><name sortKey="Ahmed, J" uniqKey="Ahmed J">J Ahmed</name></author><author><name sortKey="Ockelford, P" uniqKey="Ockelford P">P Ockelford</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="M Van Der Poll, T" uniqKey="M Van Der Poll T">T M van der Poll</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mehta, P" uniqKey="Mehta P">P Mehta</name></author><author><name sortKey="Mcauley, Df" uniqKey="Mcauley D">DF McAuley</name></author><author><name sortKey="Brown, M" uniqKey="Brown M">M Brown</name></author><author><name sortKey="Sanchez, E" uniqKey="Sanchez E">E Sanchez</name></author><author><name sortKey="Tattersall, Rs" uniqKey="Tattersall R">RS Tattersall</name></author><author><name sortKey="Manson, Jj" uniqKey="Manson J">JJ Manson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wu, Z" uniqKey="Wu Z">Z Wu</name></author><author><name sortKey="Mcgoogan, Jm" uniqKey="Mcgoogan J">JM McGoogan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Barbar, S" uniqKey="Barbar S">S Barbar</name></author><author><name sortKey="Noventa, F" uniqKey="Noventa F">F Noventa</name></author><author><name sortKey="Rossetto, V" uniqKey="Rossetto V">V Rossetto</name></author><author><name sortKey="Ferrari, A" uniqKey="Ferrari A">A Ferrari</name></author><author><name sortKey="Brandolin, B" uniqKey="Brandolin B">B Brandolin</name></author><author><name sortKey="Perlati, M" uniqKey="Perlati M">M Perlati</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Maroc</li></country></list><tree><country name="Maroc"><noRegion><name sortKey="Oualim, Sara" sort="Oualim, Sara" uniqKey="Oualim S" first="Sara" last="Oualim">Sara Oualim</name></noRegion><name sortKey="Abdeladim, Salma" sort="Abdeladim, Salma" uniqKey="Abdeladim S" first="Salma" last="Abdeladim">Salma Abdeladim</name><name sortKey="Bensahi, Ilham" sort="Bensahi, Ilham" uniqKey="Bensahi I" first="Ilham" last="Bensahi">Ilham Bensahi</name><name sortKey="Bouaiti, Elarbi" sort="Bouaiti, Elarbi" uniqKey="Bouaiti E" first="Elarbi" last="Bouaiti">Elarbi Bouaiti</name><name sortKey="Hafid, Sara" sort="Hafid, Sara" uniqKey="Hafid S" first="Sara" last="Hafid">Sara Hafid</name><name sortKey="Naitlho, Abdelhamid" sort="Naitlho, Abdelhamid" uniqKey="Naitlho A" first="Abdelhamid" last="Naitlho">Abdelhamid Naitlho</name><name sortKey="Ouarradi, Amal El" sort="Ouarradi, Amal El" uniqKey="Ouarradi A" first="Amal El" last="Ouarradi">Amal El Ouarradi</name><name sortKey="Sabry, Mohamed" sort="Sabry, Mohamed" uniqKey="Sabry M" first="Mohamed" last="Sabry">Mohamed Sabry</name></country></tree></affiliations></record>Pour manipuler ce document sous 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