A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes.
Francis Perry WilsonYu YamamotoMelissa MartinClaudia Coronel-MorenoFan LiChao ChengAbinet AkliluLama GhaziJason H GreenbergStephen LathamHannah MelchingerSherry G MansourDennis G MoledinaChirag R ParikhCaitlin PartridgeJeffrey M TestaniUgochukwu UgwuowoPublished in: Nature communications (2023)
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.
Keyphrases
- acute kidney injury
- clinical decision support
- cardiac surgery
- healthcare
- randomized controlled trial
- study protocol
- anti inflammatory drugs
- end stage renal disease
- open label
- chronic kidney disease
- quality improvement
- clinical trial
- palliative care
- phase iii
- systematic review
- prognostic factors
- ejection fraction
- high throughput
- deep learning
- emergency department
- electronic health record
- newly diagnosed
- adipose tissue
- phase ii
- squamous cell carcinoma
- risk assessment
- angiotensin converting enzyme
- pain management
- drug delivery
- chronic pain
- human health
- patient reported outcomes
- health information
- insulin resistance