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                  <mods:namePart>Perez-Garcia, Felipe</mods:namePart>
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                  <mods:namePart>Resino, Salvador</mods:namePart>
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               <mods:identifier type="citation">Front Med (Lausanne). 2021;8:736028.</mods:identifier>
               <mods:identifier type="doi">10.3389/fmed.2021.736028</mods:identifier>
               <mods:identifier type="issn">2296-858X</mods:identifier>
               <mods:identifier type="journal">Frontiers in Medicine</mods:identifier>
               <mods:identifier type="pubmedID">34568391</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12105/14238</mods:identifier>
               <mods:abstract>Background: Endothelial Activation and Stress Index (EASIX) predict death in patients undergoing allogeneic hematopoietic stem cell transplantation who develop endothelial complications. Because coronavirus disease 2019 (COVID-19) patients also have coagulopathy and endotheliitis, we aimed to assess whether EASIX predicts death within 28 days in hospitalized COVID-19 patients. Methods: We performed a retrospective study on COVID-19 patients from two different cohorts [derivation (n = 1,200 patients) and validation (n = 1,830 patients)]. The endpoint was death within 28 days. The main factors were EASIX [(lactate dehydrogenase * creatinine)/thrombocytes] and aEASIX-COVID (EASIX * age), which were log2-transformed for analysis. Results: Log2-EASIX and log2-aEASIX-COVID were independently associated with an increased risk of death in both cohorts (p &lt; 0.001). Log2-aEASIX-COVID showed a good predictive performance for 28-day mortality both in the derivation cohort (area under the receiver-operating characteristic = 0.827) and in the validation cohort (area under the receiver-operating characteristic = 0.820), with better predictive performance than log2-EASIX (p &lt; 0.001). For log2 aEASIX-COVID, patients with low/moderate risk (&lt;6) had a 28-day mortality probability of 5.3% [95% confidence interval (95% CI) = 4-6.5%], high (6-7) of 17.2% (95% CI = 14.7-19.6%), and very high (>7) of 47.6% (95% CI = 44.2-50.9%). The cutoff of log2 aEASIX-COVID = 6 showed a positive predictive value of 31.7% and negative predictive value of 94.7%, and log2 aEASIX-COVID = 7 showed a positive predictive value of 47.6% and negative predictive value of 89.8%. Conclusion: Both EASIX and aEASIX-COVID were associated with death within 28 days in hospitalized COVID-19 patients. However, aEASIX-COVID had significantly better predictive performance than EASIX, particularly for discarding death. Thus, aEASIX-COVID could be a reliable predictor of death that could help to manage COVID-19 patients.</mods:abstract>
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               <mods:subject>
                  <mods:topic>COVID-19</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Blood coagulation disorders</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Clinical prediction rule</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Endothelium</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Mortality</mods:topic>
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                  <mods:title>Age-Adjusted Endothelial Activation and Stress Index for Coronavirus Disease 2019 at Admission Is a Reliable Predictor for 28-Day Mortality in Hospitalized Patients With Coronavirus Disease 2019</mods:title>
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