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                <text>Hisham Elkhider, Faisal Ibrahim, Rohan Sharma, Sen Sheng, Madhu Jasti, Mitesh Lotia, Nidhi Kapoor, Sanjeeva Onteddu, Sajjad Mueed, Hesham Allam, Krishna Nalleballe</text>
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                <text>Corona Virus Disease 2019 (COVID-19) cases continue to increase around the World. Typical symptoms include fever and respiratory illness but a constellation of multisystem involvement including central nervous system (CNS) and peripheral nervous system (PNS) have been reported with COVID-19. Acute ischemic strokes (AIS) have also been reported as a complication. We analyzed patient characteristics, clinical outcomes, laboratory results and imaging results of four patients with COVID-19 who had AIS. All four patients were =&lt; 60 years, had hypoxemic respiratory failure secondary to pneumonia, elevated D-dimer and inflammatory markers. Ischemic strokes are known complications in patients with severe COVID-19.</text>
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                <text>Brain, behavior, &amp; immunity - health</text>
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                <text>COVID-19 and Chaplains.</text>
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                <text>Terry R Bard</text>
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                <text>2021</text>
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            <name>Identifier</name>
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                <text>10.1177/1542305021994021</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="70294">
                <text>The journal of pastoral care &amp; counseling : JPCC</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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          <element elementId="50">
            <name>Title</name>
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                <text>Cost Effectiveness of Sample Pooling to Test for SARS-CoV-2.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="70296">
                <text>Baha Abdalhamid, Christopher Richard Bilder, Jodi Louise Garrett, Peter Charles Iwen</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="70297">
                <text>2020</text>
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                <text>SARS-CoV-2, Sample pooling, savings</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="70299">
                <text>10.3855/jidc.13935</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="70300">
                <text>Journal of infection in developing countries</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
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                <text>Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index.</text>
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                <text>Joseph T King, James S Yoon, Christopher T Rentsch, Janet P Tate, Lesley S Park, Farah Kidwai-Khan, Melissa Skanderson, Ronald G Hauser, Daniel A Jacobson, Joseph Erdos, Kelly Cho, Rachel Ramoni, David R Gagnon, Amy C Justice</text>
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                <text>BackgroundAvailable COVID-19 mortality indices are limited to acute inpatient data. Using nationwide medical administrative data available prior to SARS-CoV-2 infection from the US Veterans Health Administration (VA), we developed the VA COVID-19 (VACO) 30-day mortality index and validated the index in two independent, prospective samples.Methods and findingsWe reviewed SARS-CoV-2 testing results within the VA between February 8 and August 18, 2020. The sample was split into a development cohort (test positive between March 2 and April 15, 2020), an early validation cohort (test positive between April 16 and May 18, 2020), and a late validation cohort (test positive between May 19 and July 19, 2020). Our logistic regression model in the development cohort considered demographics (age, sex, race/ethnicity), and pre-existing medical conditions and the Charlson Comorbidity Index (CCI) derived from ICD-10 diagnosis codes. Weights were fixed to create the VACO Index that was then validated by comparing area under receiver operating characteristic curves (AUC) in the early and late validation cohorts and among important validation cohort subgroups defined by sex, race/ethnicity, and geographic region. We also evaluated calibration curves and the range of predictions generated within age categories. 13,323 individuals tested positive for SARS-CoV-2 (median age: 63 years; 91% male; 42% non-Hispanic Black). We observed 480/3,681 (13%) deaths in development, 253/2,151 (12%) deaths in the early validation cohort, and 403/7,491 (5%) deaths in the late validation cohort. Age, multimorbidity described with CCI, and a history of myocardial infarction or peripheral vascular disease were independently associated with mortality-no other individual comorbid diagnosis provided additional information. The VACO Index discriminated mortality in development (AUC = 0.79, 95% CI: 0.77-0.81), and in early (AUC = 0.81 95% CI: 0.78-0.83) and late (AUC = 0.84, 95% CI: 0.78-0.86) validation. The VACO Index allows personalized estimates of 30-day mortality after COVID-19 infection. For example, among those aged 60-64 years, overall mortality was estimated at 9% (95% CI: 6-11%). The Index further discriminated risk in this age stratum from 4% (95% CI: 3-7%) to 21% (95% CI: 12-31%), depending on sex and comorbid disease.ConclusionPrior to infection, demographics and comorbid conditions can discriminate COVID-19 mortality risk overall and within age strata. The VACO Index reproducibly identified individuals at substantial risk of COVID-19 mortality who might consider continuing social distancing, despite relaxed state and local guidelines.</text>
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                <text>10.1371/journal.pone.0241825</text>
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                <text>Korean Society of Epidemiology</text>
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