<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-29T12:24:14Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/18693" metadataPrefix="mets">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/18693</identifier><datestamp>2024-09-21T22:18:44Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16927</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12105-18693" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12105/18693">
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Cornejo-Pareja, Isabel</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Vegas-Aguilar, Isabel M</mods:namePart>
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                  <mods:namePart>Lukaski, Henry</mods:namePart>
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                  <mods:namePart>Talluri, Antonio</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Bellido-Guerrero, Diego</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Tinahones, Francisco J</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>García-Almeida, Jose Manuel</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-02-27T15:08:55Z</mods:dateAccessioned>
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                  <mods:dateAvailable encoding="iso8601">2024-02-27T15:08:55Z</mods:dateAvailable>
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                  <mods:dateIssued encoding="iso8601">2022-06-30</mods:dateIssued>
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               <mods:identifier type="doi">10.3390/nu14132726</mods:identifier>
               <mods:identifier type="e-issn">2072-6643</mods:identifier>
               <mods:identifier type="journal">Nutrients</mods:identifier>
               <mods:identifier type="other">http://hdl.handle.net/10668/21484</mods:identifier>
               <mods:identifier type="pubmedID">35807907</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12105/18693</mods:identifier>
               <mods:abstract>Background: COVID-19 has taken on pandemic proportions with growing interest in prognostic factors. Overhydration is a risk factor for mortality in several medical conditions with its role in COVID-19, assessed with bioelectrical impedance (BI), gaining research interest. COVID-19 affects hydration status. The aim was to determine the hydration predictive role on 90 d survival COVID-19 and to compare BI assessments with traditional measures of hydration. Methods: We studied 127 consecutive COVID-19 patients. Hydration status was estimated using a 50 kHz phase-sensitive BI and estimated, compared with clinical scores and laboratory markers to predict mortality. Results: Non-surviving COVID-19 patients had significantly higher hydration 85.2% (76.9−89.3) vs. 73.7% (73.2−82.1) and extracellular water/total body water (ECW/TBW) 0.67 (0.59−0.75) vs. 0.54 (0.48−0.61) (p = 0.001, respectively), compared to surviving. Patients in the highest hydration tertile had increased mortality (p = 0.012), Intensive Care Unit (ICU) admission (p = 0.027), COVID-19 SEIMC score (p = 0.003), and inflammation biomarkers [CRP/prealbumin (p = 0.011)]. Multivariate analysis revealed that hydration status was associated with increased mortality. HR was 2.967 (95%CI, 1.459−6.032, p  76.15% or ECW/TBW > 0.58 were the cut-off values predicting COVID-19 mortality with 81.3% and 93.8% sensitivity and 64 and 67.6% specificity, respectively. Hydration status offers a sensitive and specific prognostic test at admission, compared to established poor prognosis parameters. Conclusions and Relevance: Overhydration, indicated as high hydration (>76.15%) and ECW/TBW (>0.58), were significant predictors of COVID-19 mortality. These findings suggest that hydration evaluation with 50 kHz phase-sensitive BI measurements should be routinely included in the clinical assessment of COVID-19 patients at hospital admission, to identify increased mortality risk patients and assist medical care.</mods:abstract>
               <mods:language>
                  <mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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               <mods:accessCondition type="useAndReproduction"/>
               <mods:subject>
                  <mods:topic>COVID-19</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>extracellular water</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>hydration fat-free mass</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>hydration status</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>survival and mortality analysis</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>total body water</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Overhydration Assessed Using Bioelectrical Impedance Vector Analysis Adversely Affects 90-Day Clinical Outcome among SARS-CoV2 Patients: A New Approach.</mods:title>
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               <mods:genre>research article</mods:genre>
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