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Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock

BACKGROUND: The role of urine output (UO) in the first 24 h of admission in the clinical management of cardiogenic shock (CS) patients has not been elucidated. METHODS: This study retrospectively analyzed intensive care CS patients in the MIMIC-IV database. Binomial logistic regression analysis was...

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Autores principales: Hu, Tianyang, Huang, Rongzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238887/
https://www.ncbi.nlm.nih.gov/pubmed/37274659
http://dx.doi.org/10.1016/j.heliyon.2023.e16295
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author Hu, Tianyang
Huang, Rongzhong
author_facet Hu, Tianyang
Huang, Rongzhong
author_sort Hu, Tianyang
collection PubMed
description BACKGROUND: The role of urine output (UO) in the first 24 h of admission in the clinical management of cardiogenic shock (CS) patients has not been elucidated. METHODS: This study retrospectively analyzed intensive care CS patients in the MIMIC-IV database. Binomial logistic regression analysis was conducted to evaluate whether UO was an independent risk factor for in-hospital mortality in CS patients. The performance of UO in predicting mortality was evaluated by the receiver operating characteristic (ROC) curve and compared with the Oxford Acute Severity of Illness Score (OASIS). The clinical net benefit of UO in predicting mortality was determined using the decision curve analysis (DCA). Survival analysis was performed with Kaplan-Meier curves. RESULTS: After adjusting for confounding factors including diuretic use and acute kidney injury (AKI), UO remained an independent risk factor for in-hospital mortality in CS patients. The areas under the ROC curves (AUCs) of UO for predicting in-hospital mortality were 0.712 (UO, ml/day) and 0.701 (UO, ml/kg/h), which were comparable to OASIS (AUC = 0.695). In terms of clinical net benefit, UO was comparable to OASIS, with different degrees of benefit at different threshold probabilities. Survival analysis showed that the risk of in-hospital death in the low-UO (≤857 ml/day) group was 3.0143 times that of the high-UO (>857 ml/day) group. CONCLUSIONS: UO in the first 24 h of admission is an independent risk factor for in-hospital mortality in intensive care CS patients and has moderate predictive value in predicting in-hospital mortality.
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spelling pubmed-102388872023-06-04 Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock Hu, Tianyang Huang, Rongzhong Heliyon Research Article BACKGROUND: The role of urine output (UO) in the first 24 h of admission in the clinical management of cardiogenic shock (CS) patients has not been elucidated. METHODS: This study retrospectively analyzed intensive care CS patients in the MIMIC-IV database. Binomial logistic regression analysis was conducted to evaluate whether UO was an independent risk factor for in-hospital mortality in CS patients. The performance of UO in predicting mortality was evaluated by the receiver operating characteristic (ROC) curve and compared with the Oxford Acute Severity of Illness Score (OASIS). The clinical net benefit of UO in predicting mortality was determined using the decision curve analysis (DCA). Survival analysis was performed with Kaplan-Meier curves. RESULTS: After adjusting for confounding factors including diuretic use and acute kidney injury (AKI), UO remained an independent risk factor for in-hospital mortality in CS patients. The areas under the ROC curves (AUCs) of UO for predicting in-hospital mortality were 0.712 (UO, ml/day) and 0.701 (UO, ml/kg/h), which were comparable to OASIS (AUC = 0.695). In terms of clinical net benefit, UO was comparable to OASIS, with different degrees of benefit at different threshold probabilities. Survival analysis showed that the risk of in-hospital death in the low-UO (≤857 ml/day) group was 3.0143 times that of the high-UO (>857 ml/day) group. CONCLUSIONS: UO in the first 24 h of admission is an independent risk factor for in-hospital mortality in intensive care CS patients and has moderate predictive value in predicting in-hospital mortality. Elsevier 2023-05-25 /pmc/articles/PMC10238887/ /pubmed/37274659 http://dx.doi.org/10.1016/j.heliyon.2023.e16295 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Hu, Tianyang
Huang, Rongzhong
Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock
title Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock
title_full Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock
title_fullStr Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock
title_full_unstemmed Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock
title_short Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock
title_sort urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238887/
https://www.ncbi.nlm.nih.gov/pubmed/37274659
http://dx.doi.org/10.1016/j.heliyon.2023.e16295
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