EconPapers    
Economics at your fingertips  
 

A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes

F. Perry Wilson (), Yu Yamamoto, Melissa Martin, Claudia Coronel-Moreno, Fan Li, Chao Cheng, Abinet Aklilu, Lama Ghazi, Jason H. Greenberg, Stephen Latham, Hannah Melchinger, Sherry G. Mansour, Dennis G. Moledina, Chirag R. Parikh, Caitlin Partridge, Jeffrey M. Testani and Ugochukwu Ugwuowo
Additional contact information
F. Perry Wilson: Yale School of Medicine
Yu Yamamoto: Yale School of Medicine
Melissa Martin: Yale School of Medicine
Claudia Coronel-Moreno: Yale School of Medicine
Fan Li: Yale School of Public Health
Chao Cheng: Yale School of Public Health
Abinet Aklilu: Yale School of Medicine
Lama Ghazi: Yale School of Medicine
Jason H. Greenberg: Yale School of Medicine
Stephen Latham: Yale University
Hannah Melchinger: Yale School of Medicine
Sherry G. Mansour: Yale School of Medicine
Dennis G. Moledina: Yale School of Medicine
Chirag R. Parikh: Johns Hopkins School of Medicine
Caitlin Partridge: Joint Data Analytics Team. Yale New Haven Health System
Jeffrey M. Testani: Yale School of Medicine
Ugochukwu Ugwuowo: Yale School of Medicine

Nature Communications, 2023, vol. 14, issue 1, 1-10

Abstract: Abstract 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.

Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-38532-3 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38532-3

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-38532-3

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38532-3