<?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>2026-04-17T08:07:11Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/55711" metadataPrefix="marc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/55711</identifier><datestamp>2026-02-13T11:08:10Z</datestamp><setSpec>com_2072_6</setSpec><setSpec>col_2072_452952</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Arias-Guillén, Marta</subfield>
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      <subfield code="a">Collado, Silvia</subfield>
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      <subfield code="a">Coll, Elisabeth</subfield>
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      <subfield code="a">Carreras, Jordi</subfield>
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      <subfield code="a">Betancourt, Loreley</subfield>
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      <subfield code="a">Romano, Bárbara</subfield>
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      <subfield code="a">Fernández, Marisol</subfield>
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      <subfield code="a">Duarte, Verónica</subfield>
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      <subfield code="a">Garro, Julia</subfield>
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      <subfield code="a">Soler-Majoral, Jordi</subfield>
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      <subfield code="a">González, Juan Carlos</subfield>
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      <subfield code="a">Calabia, Jordi</subfield>
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      <subfield code="c">2023-02-10T07:30:44Z</subfield>
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      <subfield code="c">2023-02-10T07:30:44Z</subfield>
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      <subfield code="a">This cross-sectional study aims to explore the prevalence of protein-energy wasting (PEW) in dialysis patients in Catalonia, Spain, using a new and practical online tool which enables rapid calculation and comparison with other nutritional scores. Methods: A web tool (Nutrendial) was created to introduce different variables and automatically calculate PEW, Malnutrition inflammation Score (MIS) and Subjective Global Assessment (SGA) in 1389 patients (88% in haemodialysis (HD)), 12% in peritoneal dialysis (PD) from different regions of Catalonia. Results: A prevalence of 23.3% (26% HD, 10.2% PD) of PEW was found, with a mean MIS score of 6 and SGA score of C in 7% of the patients. ROC analysis showed MIS as the best nutritional score to diagnose PEW (AUC 0.85). Albumin delivered lower diagnostic precision (AUC 0.77) and sensitivity (66%). A cut off point of 7 (86% sensitivity and 75% specificity) for MIS and 3.7 mg/dL for albumin were found to predict the appearance of PEW in this population. SGA B or C showed an 87% sensitivity and 55% specificity to diagnose PEW. Very low nutritional intervention (14%) was recorded with this tool in patients with PEW. Conclusions: This new online tool facilitated the calculation of PEW, enabling different professionals-including nephrologists, dieticians and nurses-to efficiently obtain insights into the nutritional status of the Catalonian dialysis population and implement the required nutritional interventions. MIS is the score with more sensitivity to diagnose PEW.</subfield>
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      <subfield code="a">Nutritional assessment</subfield>
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      <subfield code="a">Prevalence of protein-energy wasting in dialysis patients using a practical online tool to compare with other nutritional scores: Results of the nutrendial study</subfield>
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