Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , |
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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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 instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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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1817549544156561408 |