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Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool
PURPOSE: Furosemide, a frequently prescribed diuretic for managing congestive heart failure and edema, remains a topic of debate regarding its potential risk of inducing acute kidney injury (AKI) in patients. Consequently, this study aims to examine the occurrence of hospital-acquired AKI (HA-AKI) i...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474726/ https://www.ncbi.nlm.nih.gov/pubmed/37660080 http://dx.doi.org/10.1186/s40001-023-01306-0 |
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author | Guan, Chen Li, Chenyu Xu, Lingyu Che, Lin Wang, Yanfei Yang, Chengyu Zhang, Ningxin Liu, Zengying Zhao, Long Zhou, Bin Man, Xiaofei Luan, Hong Xu, Yan |
author_facet | Guan, Chen Li, Chenyu Xu, Lingyu Che, Lin Wang, Yanfei Yang, Chengyu Zhang, Ningxin Liu, Zengying Zhao, Long Zhou, Bin Man, Xiaofei Luan, Hong Xu, Yan |
author_sort | Guan, Chen |
collection | PubMed |
description | PURPOSE: Furosemide, a frequently prescribed diuretic for managing congestive heart failure and edema, remains a topic of debate regarding its potential risk of inducing acute kidney injury (AKI) in patients. Consequently, this study aims to examine the occurrence of hospital-acquired AKI (HA-AKI) in hospitalized patients who are administered furosemide and to investigate potential risk factors associated with this outcome. METHODS: This study encompassed a cohort of 22374 hospitalized patients who either received furosemide treatment or not from June 1, 2012, to December 31, 2017. Propensity score matching was employed to establish comparability between the two groups regarding covariates. Subsequently, a nomogram was constructed to predict the probability of AKI occurrence among patients who underwent furosemide treatment. RESULTS: The regression analysis identified the single-day total dose of furosemide as the most significant factor for AKI, followed by ICU administration, estimated glomerular filtration rate, antibiotic, statin, NSAIDs, β-blockers, proton pump inhibitor, chronic kidney disease, and 7 other indicators. Subgroup analysis revealed a synergistic effect of furosemide with surgical operation, previous treatment with β-blockers, ACEI/ARB and antibiotics, leading to an increased risk of AKI when used in combination. Subsequently, a visually represented prognostic nomogram was developed to predict AKI occurrence in furosemide users. The predictive accuracy of the nomogram was assessed through calibration analyses, demonstrating an excellent agreement between the nomogram predictions and the actual likelihood of AKI, with a probability of 77.40%. CONCLUSIONS: Careful consideration of factors such as dosage, concurrent medication use, and renal function of the patient is necessary for clinical practice when using furosemide. Our practical prognostic model for HA-AKI associated with furosemide use can be utilized to assist clinicians in making informed decisions about patient care and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01306-0.Width |
format | Online Article Text |
id | pubmed-10474726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104747262023-09-03 Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool Guan, Chen Li, Chenyu Xu, Lingyu Che, Lin Wang, Yanfei Yang, Chengyu Zhang, Ningxin Liu, Zengying Zhao, Long Zhou, Bin Man, Xiaofei Luan, Hong Xu, Yan Eur J Med Res Research PURPOSE: Furosemide, a frequently prescribed diuretic for managing congestive heart failure and edema, remains a topic of debate regarding its potential risk of inducing acute kidney injury (AKI) in patients. Consequently, this study aims to examine the occurrence of hospital-acquired AKI (HA-AKI) in hospitalized patients who are administered furosemide and to investigate potential risk factors associated with this outcome. METHODS: This study encompassed a cohort of 22374 hospitalized patients who either received furosemide treatment or not from June 1, 2012, to December 31, 2017. Propensity score matching was employed to establish comparability between the two groups regarding covariates. Subsequently, a nomogram was constructed to predict the probability of AKI occurrence among patients who underwent furosemide treatment. RESULTS: The regression analysis identified the single-day total dose of furosemide as the most significant factor for AKI, followed by ICU administration, estimated glomerular filtration rate, antibiotic, statin, NSAIDs, β-blockers, proton pump inhibitor, chronic kidney disease, and 7 other indicators. Subgroup analysis revealed a synergistic effect of furosemide with surgical operation, previous treatment with β-blockers, ACEI/ARB and antibiotics, leading to an increased risk of AKI when used in combination. Subsequently, a visually represented prognostic nomogram was developed to predict AKI occurrence in furosemide users. The predictive accuracy of the nomogram was assessed through calibration analyses, demonstrating an excellent agreement between the nomogram predictions and the actual likelihood of AKI, with a probability of 77.40%. CONCLUSIONS: Careful consideration of factors such as dosage, concurrent medication use, and renal function of the patient is necessary for clinical practice when using furosemide. Our practical prognostic model for HA-AKI associated with furosemide use can be utilized to assist clinicians in making informed decisions about patient care and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01306-0.Width BioMed Central 2023-09-02 /pmc/articles/PMC10474726/ /pubmed/37660080 http://dx.doi.org/10.1186/s40001-023-01306-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Guan, Chen Li, Chenyu Xu, Lingyu Che, Lin Wang, Yanfei Yang, Chengyu Zhang, Ningxin Liu, Zengying Zhao, Long Zhou, Bin Man, Xiaofei Luan, Hong Xu, Yan Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool |
title | Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool |
title_full | Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool |
title_fullStr | Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool |
title_full_unstemmed | Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool |
title_short | Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool |
title_sort | hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474726/ https://www.ncbi.nlm.nih.gov/pubmed/37660080 http://dx.doi.org/10.1186/s40001-023-01306-0 |
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