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                <text>Severe acute respiratory syndrome corona virus 2 (SARS CoV2) is responsible for corona virus disease (COVID-19). Many organizations have given guidelines for the prevention of COVID-19. Other societies have given updates regarding living and deceased donor transplantation during the pandemic. This article reviews the literature available on corona virus and its impact on living and deceased donor transplantation.</text>
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                <text>DOI: 10.4103/ijot.ijot_21_20</text>
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                <text>Coronary artery bypass graft surgery outcomes in the United States: Impact of the coronavirus disease 2019 (COVID-19) pandemic.</text>
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                <text>There has been a substantial decline in patients presenting for emergent and routine cardiovascular care in the United States after the onset of the coronavirus disease 2019 (COVID-19) pandemic. We sought to assess the risk of adverse clinical outcomes among patients undergoing coronary artery bypass graft (CABG) surgery during the 2020 COVID-19 pandemic period and compare the risks with those undergoing CABG before the pandemic in the year 2019. A retrospective cross-sectional analysis of the TriNetX Research Network database was performed. Patients undergoing CABG between January 20, 2019, and September 15, 2019, contributed to the 2019 cohort, and those undergoing CABG between January 20, 2020, and September 15, 2020, contributed to the 2020 cohort. Propensity-score matching was performed, and the odds of mortality, acute kidney injury, stroke, acute respiratory distress syndrome, and mechanical ventilation occurring by 30 days were evaluated. The number of patients undergoing CABG in 2020 declined by 35.5% from 5534 patients in 2019 to 3569 patients in 2020. After propensity-score matching, 3569 patient pairs were identified in the 2019 and the 2020 cohorts. Compared with those undergoing CABG in 2019, the odds of mortality by 30 days were 0.96 (95% confidence interval [CI], 0.69-1.33; P = .80) in those undergoing CABG in 2020. The odds for stroke (odds ratio [OR], 1.201; 95% CI, 0.96-1.39), acute kidney injury (OR, 0.76; 95% CI, 0.59-1.08), acute respiratory distress syndrome (OR, 1.01; 95% CI, 0.60-2.42), and mechanical ventilation (OR, 1.11; 95% CI, 0.94-1.30) were similar between the 2 cohorts. The number of patients undergoing CABG in 2020 has substantially declined compared with 2019. Similar odds of adverse clinical outcomes were seen among patients undergoing CABG in the setting of COVID-19 compared with those in 2019.</text>
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                <text>2021</text>
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                <text>Coronavirus disease 2019, coronary artery disease, myocardial infarction, COVID-19 (coronavirus disease 2019), CI, Confidence interval, OR, Odds ratio, CABG, Coronary artery bypass grafting, EHR, electronic health record, ICD-10, International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, UAB, University of Alabama at Birmingham, coronary artery bypass graft</text>
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                <text>10.1016/j.xjon.2021.03.016</text>
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                <text>JTCVS open</text>
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                <text>During the recent severe acute respiratory (SARS) outbreak, the etiologic agent was identified as a new coronavirus (CoV). We have isolated a SARS-associated CoV (SARS-CoV) strain by injecting Vero cells with a sputum specimen from an Italian patient affected by a severe pneumonia; the patient traveled from Vietnam to Italy in March 2003. Ultrastructural analysis of infected Vero cells showed the virions within cell vesicles and around the cell membrane. The full-length viral genome sequence was similar to those derived from the Hong-Kong Hotel M isolate. By using both real-time reverse transcription–polymerase chain reaction TaqMan assay and an infectivity plaque assay, we determined that approximately 360 viral genomes were required to generate a PFU. In addition, heparin (100 μg/mL) inhibited infection of Vero cells by 50%. Overall, the molecular and biologic characteristics of the strain HSR1 provide evidence that SARS-CoV forms a fourth genetic coronavirus group with distinct genomic and biologic features.</text>
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                <text>2004</text>
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                <text>DOI: 10.3201/eid1003.030683</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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            <description>A language of the resource</description>
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                <text>Gopinath Gnanasegaran, Diana Paez, Mike Sathekge, Francesco Giammarile, Stefano Fanti, Arturo Chiti, Henry Bom, Sobhan Vinjamuri, Thomas Nb Pascual, Jamshed Bomanji</text>
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                <text>European journal of nuclear medicine and molecular imaging</text>
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                <text>Coronavirus (SARS-CoV-2) and Mortality Rate in India: The Winning Edge</text>
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                <text>Coronavirus (SARS-CoV-2) Cardiovascular Disease (CVD) Conditions Relationship in Diabetic and SCA Patients: a Review</text>
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                <text>Favour Deborah Adaugo Onyelowe, Kennedy Onyelowe</text>
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                <text>Cardiovascular Disease (CVD), which is also known as Heart Disease has been the most common cause of death among diabetic and sickle cell anemia (SCA) patients around the world. CVD includes coronary artery disease, stroke, and peripheral artery disease while SCA includes hemolysis. These are the main types of CVD, which is similar to hypertension because of the common risk factors they have, such as obesity, arterial remodeling, abnormal cholesterol levels, etc. Diabetes and SCA belong to the largest health emergencies of the 21st century. With the high rate of people with diabetes and SCA, the rate of Cardiovascular Disease increases rapidly. The rates of CVD in high-income countries generally have low CVD because of the monitoring systems for non-communicable diseases like CVD. However, the appearance of the novel COVID-19/SARS-CoV-2 has changed the narrative. With COVID-19/SARS-CoV-2 attacking more on people with previous health conditions associated to cardiovascular conditions, the backbone of high-income nations is broken and those leaving with high immune conditions are at less risk whether in the high income or low-income environments. The objective of this research is to review the Cardiovascular Disease conditions to the novel COVID-19/SARS-CoV-2 in Diabetic and SCA patients. This is due to the prevalence of this medical situation in the developing world or low income and densely populated countries.</text>
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                <text>Remdesivir, coronavirus sars-cov-2, biomedicine, intravascular coagulation, diabetic patients, Aged patients, cardiovascular conditions, sca patients</text>
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                <text>10.22178/pos.60-3</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Coronavirus 2019 (COVID-19) Outbreak in India: A Perspective so far</text>
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              <elementText elementTextId="33195">
                <text>Puneet Kumar Gupta, Sonam Maheshwari, Preeti Bhaskar</text>
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                <text>There is a new public health emergency victimization the world with the emergence and spread of COVID-19. However, India has performed very well to tackle this emergency of public health so far but at the time of writing the manuscript (as on 06.04.2020), India is on the stage to increase the lockdown period in the current situation because of peak rise in the confirmed cases of COVID-19. The present study aims to review the decisions of the Indian government that are being implemented so far to hold the situation of COVID-19 along with the challenges faced so far. However, only time will tell that the decisions taken so far are sufficiently strong to protect the majority of Indian during on-going COVID-19 pandemic. At last, special considerations highlight on major footsteps and challenges so far in India due to COVID-19.</text>
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                <text>migrant workers, social distancing, COVID-19, Tablighi Jamat, lockdown</text>
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                <text>DOI: 10.5799/jcei/8220</text>
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              <elementText elementTextId="33200">
                <text>Journal of Clinical and Experimental Investigations</text>
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                <text>Association of Health Investigations</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
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                <text>Coronavirus 3CL&lt;sup&gt;&lt;it&gt;pro &lt;/it&gt;&lt;/sup&gt;proteinase cleavage sites: Possible relevance to SARS virus pathology</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="28077">
                <text>Brunak Søren, Lund Ole, Blom Nikolaj, Kiemer Lars</text>
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          <element elementId="41">
            <name>Description</name>
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                <text>Abstract Background Despite the passing of more than a year since the first outbreak of Severe Acute Respiratory Syndrome (SARS), efficient counter-measures are still few and many believe that reappearance of SARS, or a similar disease caused by a coronavirus, is not unlikely. For other virus families like the picornaviruses it is known that pathology is related to proteolytic cleavage of host proteins by viral proteinases. Furthermore, several studies indicate that virus proliferation can be arrested using specific proteinase inhibitors supporting the belief that proteinases are indeed important during infection. Prompted by this, we set out to analyse and predict cleavage by the coronavirus main proteinase using computational methods. Results We retrieved sequence data on seven fully sequenced coronaviruses and identified the main 3CL proteinase cleavage sites in polyproteins using alignments. A neural network was trained to recognise the cleavage sites in the genomes obtaining a sensitivity of 87.0% and a specificity of 99.0%. Several proteins known to be cleaved by other viruses were submitted to prediction as well as proteins suspected relevant in coronavirus pathology. Cleavage sites were predicted in proteins such as the cystic fibrosis transmembrane conductance regulator (CFTR), transcription factors CREB-RP and OCT-1, and components of the ubiquitin pathway. Conclusions Our prediction method NetCorona predicts coronavirus cleavage sites with high specificity and several potential cleavage candidates were identified which might be important to elucidate coronavirus pathology. Furthermore, the method might assist in design of proteinase inhibitors for treatment of SARS and possible future diseases caused by coronaviruses. It is made available for public use at our website: http://www.cbs.dtu.dk/services/NetCorona/.</text>
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                <text>2004</text>
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            <name>Identifier</name>
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              <elementText elementTextId="28080">
                <text>DOI: 10.1186/1471-2105-5-72</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="28081">
                <text>BMC Bioinformatics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="28082">
                <text>BMC</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="28083">
                <text>Biology (General), Computer applications to medicine. Medical informatics</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
