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A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes
Acute kidney injury is common among hospitalized individuals, particularly those exposed to certain medications, and is associated with substantial morbidity and mortality. In a pragmatic, open-label, National Institutes of Health-funded, parallel group randomized controlled trial (clinicaltrials.go...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192367/ https://www.ncbi.nlm.nih.gov/pubmed/37198160 http://dx.doi.org/10.1038/s41467-023-38532-3 |
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author | Wilson, F. Perry Yamamoto, Yu Martin, Melissa Coronel-Moreno, Claudia Li, Fan Cheng, Chao Aklilu, Abinet Ghazi, Lama Greenberg, Jason H. Latham, Stephen Melchinger, Hannah Mansour, Sherry G. Moledina, Dennis G. Parikh, Chirag R. Partridge, Caitlin Testani, Jeffrey M. Ugwuowo, Ugochukwu |
author_facet | Wilson, F. Perry Yamamoto, Yu Martin, Melissa Coronel-Moreno, Claudia Li, Fan Cheng, Chao Aklilu, Abinet Ghazi, Lama Greenberg, Jason H. Latham, Stephen Melchinger, Hannah Mansour, Sherry G. Moledina, Dennis G. Parikh, Chirag R. Partridge, Caitlin Testani, Jeffrey M. Ugwuowo, Ugochukwu |
author_sort | Wilson, F. Perry |
collection | PubMed |
description | Acute kidney injury is common among hospitalized individuals, particularly those exposed to certain medications, and is associated with substantial morbidity and mortality. In a pragmatic, open-label, National Institutes of Health-funded, parallel group randomized controlled trial (clinicaltrials.gov NCT02771977), we investigate whether an automated clinical decision support system affects discontinuation rates of potentially nephrotoxic medications and improves outcomes in patients with AKI. Participants included 5060 hospitalized adults with AKI and an active order for any of three classes of medications of interest: non-steroidal anti-inflammatory drugs, renin-angiotensin-aldosterone system inhibitors, or proton pump inhibitors. Within 24 hours of randomization, a medication of interest was discontinued in 61.1% of the alert group versus 55.9% of the usual care group (relative risk 1.08, 1.04 – 1.14, p = 0.0003). The primary outcome – a composite of progression of acute kidney injury, dialysis, or death within 14 days - occurred in 585 (23.1%) of individuals in the alert group and 639 (25.3%) of patients in the usual care group (RR 0.92, 0.83 – 1.01, p = 0.09). Trial Registration Clinicaltrials.gov NCT02771977. |
format | Online Article Text |
id | pubmed-10192367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101923672023-05-19 A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes Wilson, F. Perry Yamamoto, Yu Martin, Melissa Coronel-Moreno, Claudia Li, Fan Cheng, Chao Aklilu, Abinet Ghazi, Lama Greenberg, Jason H. Latham, Stephen Melchinger, Hannah Mansour, Sherry G. Moledina, Dennis G. Parikh, Chirag R. Partridge, Caitlin Testani, Jeffrey M. Ugwuowo, Ugochukwu Nat Commun Article Acute kidney injury is common among hospitalized individuals, particularly those exposed to certain medications, and is associated with substantial morbidity and mortality. In a pragmatic, open-label, National Institutes of Health-funded, parallel group randomized controlled trial (clinicaltrials.gov NCT02771977), we investigate whether an automated clinical decision support system affects discontinuation rates of potentially nephrotoxic medications and improves outcomes in patients with AKI. Participants included 5060 hospitalized adults with AKI and an active order for any of three classes of medications of interest: non-steroidal anti-inflammatory drugs, renin-angiotensin-aldosterone system inhibitors, or proton pump inhibitors. Within 24 hours of randomization, a medication of interest was discontinued in 61.1% of the alert group versus 55.9% of the usual care group (relative risk 1.08, 1.04 – 1.14, p = 0.0003). The primary outcome – a composite of progression of acute kidney injury, dialysis, or death within 14 days - occurred in 585 (23.1%) of individuals in the alert group and 639 (25.3%) of patients in the usual care group (RR 0.92, 0.83 – 1.01, p = 0.09). Trial Registration Clinicaltrials.gov NCT02771977. Nature Publishing Group UK 2023-05-17 /pmc/articles/PMC10192367/ /pubmed/37198160 http://dx.doi.org/10.1038/s41467-023-38532-3 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wilson, F. Perry Yamamoto, Yu Martin, Melissa Coronel-Moreno, Claudia Li, Fan Cheng, Chao Aklilu, Abinet Ghazi, Lama Greenberg, Jason H. Latham, Stephen Melchinger, Hannah Mansour, Sherry G. Moledina, Dennis G. Parikh, Chirag R. Partridge, Caitlin Testani, Jeffrey M. Ugwuowo, Ugochukwu A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes |
title | A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes |
title_full | A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes |
title_fullStr | A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes |
title_full_unstemmed | A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes |
title_short | A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes |
title_sort | randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192367/ https://www.ncbi.nlm.nih.gov/pubmed/37198160 http://dx.doi.org/10.1038/s41467-023-38532-3 |
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