Shina Menon1,2, Rod Tarrago3,4, Kristen Carlin5, Hong Wu6, Karyn Yonekawa7,3. 1. Division of Nephrology, Seattle Children's Hospital, Seattle, WA, USA. Shina.menon@seattlechildrens.org. 2. University of Washington School of Medicine, Seattle, WA, USA. Shina.menon@seattlechildrens.org. 3. University of Washington School of Medicine, Seattle, WA, USA. 4. Division of Critical Care Medicine, Seattle Children's Hospital, Seattle, WA, USA. 5. Children's Core for Biomedical Statistics, Seattle Children's Research Institute, Seattle, WA, USA. 6. Clinical Applications, Seattle Children's Hospital, Seattle, WA, USA. 7. Division of Nephrology, Seattle Children's Hospital, Seattle, WA, USA.
Abstract
BACKGROUND: Acute kidney injury (AKI) is common but not often recognized. Early recognition and management may improve patient outcomes. METHODS: This is a prospective, nonrandomized study of clinical decision support (CDS) system [combining electronic alert and standardized care pathway (SCP)] to evaluate AKI detection and progression in hospitalized children. The study was done in three phases: pre-, intervention (CDS) and post. During CDS, text-page with AKI stage and link to SCP was sent to patient's contact provider at diagnosis of AKI using creatinine. The SCP provided guidelines on AKI management [AEIOU: Assess cause of AKI, Evaluate drug doses, Intake-Output charting, Optimize volume status, Urine dipstick]. RESULTS: In all, 239 episodes of AKI in 225 patients (97 females, 43.1%) were analyzed. Proportion of patients with decrease in the stage of AKI after onset was 71.4% for CDS vs. 64.4% for pre- and 55% for post-CDS phases (p = 0.3). Documentation of AKI was higher during CDS (74.3% CDS vs. 47.5% pre- and 57.5% post-, p < 0.001). Significantly greater proportion of patients had nephrotoxic medications adjusted, or fluid plan changed during CDS. Patients from CDS phase had higher eGFR at discharge and at follow-up. CONCLUSIONS: AKI remains under-recognized. CDS (electronic alerts and SCP) improve recognition and allow early intervention. This may improve long-term outcomes, but larger studies are needed. IMPACT: Acute kidney injury can cause significant morbidity and mortality. It is under-recognized in children. Clinical decision support can be used to leverage existing data in the electronic health record to improve AKI recognition. This study demonstrates the use of a novel, electronic health record-linked, clinical decision support tool to improve the recognition of AKI and guideline-adherent clinical care.
BACKGROUND: Acute kidney injury (AKI) is common but not often recognized. Early recognition and management may improve patient outcomes. METHODS: This is a prospective, nonrandomized study of clinical decision support (CDS) system [combining electronic alert and standardized care pathway (SCP)] to evaluate AKI detection and progression in hospitalized children. The study was done in three phases: pre-, intervention (CDS) and post. During CDS, text-page with AKI stage and link to SCP was sent to patient's contact provider at diagnosis of AKI using creatinine. The SCP provided guidelines on AKI management [AEIOU: Assess cause of AKI, Evaluate drug doses, Intake-Output charting, Optimize volume status, Urine dipstick]. RESULTS: In all, 239 episodes of AKI in 225 patients (97 females, 43.1%) were analyzed. Proportion of patients with decrease in the stage of AKI after onset was 71.4% for CDS vs. 64.4% for pre- and 55% for post-CDS phases (p = 0.3). Documentation of AKI was higher during CDS (74.3% CDS vs. 47.5% pre- and 57.5% post-, p < 0.001). Significantly greater proportion of patients had nephrotoxic medications adjusted, or fluid plan changed during CDS. Patients from CDS phase had higher eGFR at discharge and at follow-up. CONCLUSIONS: AKI remains under-recognized. CDS (electronic alerts and SCP) improve recognition and allow early intervention. This may improve long-term outcomes, but larger studies are needed. IMPACT: Acute kidney injury can cause significant morbidity and mortality. It is under-recognized in children. Clinical decision support can be used to leverage existing data in the electronic health record to improve AKI recognition. This study demonstrates the use of a novel, electronic health record-linked, clinical decision support tool to improve the recognition of AKI and guideline-adherent clinical care.
Authors: Danielle E Soranno; Azra Bihorac; Stuart L Goldstein; Kianoush B Kashani; Shina Menon; Girish N Nadkarni; Javier A Neyra; Neesh I Pannu; Karandeep Singh; Jorge Cerda; Jay L Koyner Journal: Kidney360 Date: 2021-11-18