Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit

Detalhes bibliográficos
Autor(a) principal: Ferrari, Fiorenza
Data de Publicação: 2019
Outros Autores: Puci, Mariangela Valentina, Ferraro, Ottavia Eleonora, Romero-González, Gregorio, Husain-Syed, Faeq, Rizo-Topete, Lilia, Senzolo, Mara, Lorenzin, Anna, Muraro, Eva, Baracca, Antonio, Serrano-Soto, Mara, Molano Triviño, Alejandra, Castro, Ana, De Cal, Massimo, Corradi, Valentina, Brendolan, Alessandra, Scarpa, Marta, Carta, Maria Rosa, Giavarina, Davide, Bonato, Raffaele, Iotti, Giorgio Antonio, Ronco, Claudio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.16/2439
Resumo: AKI is associated with increased risk of death, prolonged length of stay and development of de-novo chronic kidney disease. The aim of our study is the development and validation of prediction models to identify the risk of AKI in ICU patients up to 7 days. We retrospectively recruited 692 consecutive patients admitted to the ICU at San Bortolo Hospital (Vicenza, Italy) from 1 June 2016 to 31 March 2017: 455 patients were treated as the derivation group and 237 as the validation group. Candidate variables were selected based on a literature review and expert opinion. Admission eGFR< 90 ml/min /1.73 mq (OR 2.78; 95% CI 1.78-4.35; p<0.001); SOFAcv ≥ 2 (OR 2.23; 95% CI 1.48-3.37; p<0.001); lactate ≥ 2 mmol/L (OR 1.81; 95% CI 1.19-2.74; p = 0.005) and (TIMP-2)•(IGFBP7) ≥ 0.3 (OR 1.65; 95% CI 1.08-2.52; p = 0.019) were significantly associated with AKI. For the q-AKI score, we stratified patients into different AKI Risk score levels: 0-2; 3-4; 5-6; 7-8 and 9-10. In both cohorts, we observed that the proportion of AKI patients was higher in the higher score levels.
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spelling Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unitIntensive Care UnitsAKI is associated with increased risk of death, prolonged length of stay and development of de-novo chronic kidney disease. The aim of our study is the development and validation of prediction models to identify the risk of AKI in ICU patients up to 7 days. We retrospectively recruited 692 consecutive patients admitted to the ICU at San Bortolo Hospital (Vicenza, Italy) from 1 June 2016 to 31 March 2017: 455 patients were treated as the derivation group and 237 as the validation group. Candidate variables were selected based on a literature review and expert opinion. Admission eGFR< 90 ml/min /1.73 mq (OR 2.78; 95% CI 1.78-4.35; p<0.001); SOFAcv ≥ 2 (OR 2.23; 95% CI 1.48-3.37; p<0.001); lactate ≥ 2 mmol/L (OR 1.81; 95% CI 1.19-2.74; p = 0.005) and (TIMP-2)•(IGFBP7) ≥ 0.3 (OR 1.65; 95% CI 1.08-2.52; p = 0.019) were significantly associated with AKI. For the q-AKI score, we stratified patients into different AKI Risk score levels: 0-2; 3-4; 5-6; 7-8 and 9-10. In both cohorts, we observed that the proportion of AKI patients was higher in the higher score levels.Public Library of ScienceRepositório Científico da Unidade Local de Saúde de Santo AntónioFerrari, FiorenzaPuci, Mariangela ValentinaFerraro, Ottavia EleonoraRomero-González, GregorioHusain-Syed, FaeqRizo-Topete, LiliaSenzolo, MaraLorenzin, AnnaMuraro, EvaBaracca, AntonioSerrano-Soto, MaraMolano Triviño, AlejandraCastro, AnaDe Cal, MassimoCorradi, ValentinaBrendolan, AlessandraScarpa, MartaCarta, Maria RosaGiavarina, DavideBonato, RaffaeleIotti, Giorgio AntonioRonco, Claudio2020-08-21T11:56:41Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.16/2439eng1932-620310.1371/journal.pone.0217424info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-21T04:35:44Zoai:repositorio.chporto.pt:10400.16/2439Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-21T04:35:44Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
title Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
spellingShingle Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
Ferrari, Fiorenza
Intensive Care Units
title_short Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
title_full Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
title_fullStr Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
title_full_unstemmed Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
title_sort Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
author Ferrari, Fiorenza
author_facet Ferrari, Fiorenza
Puci, Mariangela Valentina
Ferraro, Ottavia Eleonora
Romero-González, Gregorio
Husain-Syed, Faeq
Rizo-Topete, Lilia
Senzolo, Mara
Lorenzin, Anna
Muraro, Eva
Baracca, Antonio
Serrano-Soto, Mara
Molano Triviño, Alejandra
Castro, Ana
De Cal, Massimo
Corradi, Valentina
Brendolan, Alessandra
Scarpa, Marta
Carta, Maria Rosa
Giavarina, Davide
Bonato, Raffaele
Iotti, Giorgio Antonio
Ronco, Claudio
author_role author
author2 Puci, Mariangela Valentina
Ferraro, Ottavia Eleonora
Romero-González, Gregorio
Husain-Syed, Faeq
Rizo-Topete, Lilia
Senzolo, Mara
Lorenzin, Anna
Muraro, Eva
Baracca, Antonio
Serrano-Soto, Mara
Molano Triviño, Alejandra
Castro, Ana
De Cal, Massimo
Corradi, Valentina
Brendolan, Alessandra
Scarpa, Marta
Carta, Maria Rosa
Giavarina, Davide
Bonato, Raffaele
Iotti, Giorgio Antonio
Ronco, Claudio
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico da Unidade Local de Saúde de Santo António
dc.contributor.author.fl_str_mv Ferrari, Fiorenza
Puci, Mariangela Valentina
Ferraro, Ottavia Eleonora
Romero-González, Gregorio
Husain-Syed, Faeq
Rizo-Topete, Lilia
Senzolo, Mara
Lorenzin, Anna
Muraro, Eva
Baracca, Antonio
Serrano-Soto, Mara
Molano Triviño, Alejandra
Castro, Ana
De Cal, Massimo
Corradi, Valentina
Brendolan, Alessandra
Scarpa, Marta
Carta, Maria Rosa
Giavarina, Davide
Bonato, Raffaele
Iotti, Giorgio Antonio
Ronco, Claudio
dc.subject.por.fl_str_mv Intensive Care Units
topic Intensive Care Units
description AKI is associated with increased risk of death, prolonged length of stay and development of de-novo chronic kidney disease. The aim of our study is the development and validation of prediction models to identify the risk of AKI in ICU patients up to 7 days. We retrospectively recruited 692 consecutive patients admitted to the ICU at San Bortolo Hospital (Vicenza, Italy) from 1 June 2016 to 31 March 2017: 455 patients were treated as the derivation group and 237 as the validation group. Candidate variables were selected based on a literature review and expert opinion. Admission eGFR< 90 ml/min /1.73 mq (OR 2.78; 95% CI 1.78-4.35; p<0.001); SOFAcv ≥ 2 (OR 2.23; 95% CI 1.48-3.37; p<0.001); lactate ≥ 2 mmol/L (OR 1.81; 95% CI 1.19-2.74; p = 0.005) and (TIMP-2)•(IGFBP7) ≥ 0.3 (OR 1.65; 95% CI 1.08-2.52; p = 0.019) were significantly associated with AKI. For the q-AKI score, we stratified patients into different AKI Risk score levels: 0-2; 3-4; 5-6; 7-8 and 9-10. In both cohorts, we observed that the proportion of AKI patients was higher in the higher score levels.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2020-08-21T11:56:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.16/2439
url http://hdl.handle.net/10400.16/2439
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1932-6203
10.1371/journal.pone.0217424
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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