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The Incidence of Paediatric Acute Kidney Injury Identified Using an AKI E-Alert Algorithm in Six English Hospitals
Sheetal Bhojani1, Jelena Stojanovic2, Nabil Melhem2
1Royal Hospital for Children, Glasgow, United Kingdom.
Insights
Acute kidney injury (AKI) affects 10.8% of hospitalized children, with most cases being Stage 1 and under age 6. Poor recognition and management of AKI in these young patients highlight a critical need for improvement in UK hospitals.
Area of Science:
- Pediatric Nephrology
- Hospital Medicine
- Clinical Informatics
Background:
- Acute kidney injury (AKI) is a critical determinant of morbidity and mortality in hospitalized patients.
- Early identification and management of AKI are crucial for improving patient outcomes.
- The National Health Services (NHS) AKI e-alert algorithm offers a potential tool for identifying AKI.
Purpose of the Study:
- To determine the incidence of AKI in hospitalized children using the NHS AKI e-alert algorithm.
- To evaluate the recognition and management of AKI in a subgroup of pediatric patients identified by the algorithm.
Main Methods:
- Retrospective cross-sectional study analyzing creatinine measurements from six English hospitals over six months.
- Utilized the NHS AKI e-alert algorithm for AKI identification and staging (Stages 1, 2, 3 based on creatinine rise).
- Reviewed case notes of a randomly selected subgroup of children with AKI alerts to assess recognition and management.
Main Results:
- Analyzed 57,278 creatinine measurements, identifying 10.8% of 1,112 patients with AKI alerts.
- The majority of AKI alerts were Stage 1 (62%), with a significant proportion in children under 6 years old (39%).
- Only 26% of reviewed AKI cases demonstrated confirmed recognition and documented management plans.
Conclusions:
- The incidence of AKI in hospitalized children across selected English hospitals is 10.8%.
- Most pediatric AKI cases were Stage 1 and occurred in children under six years old.
- Current recognition and management of AKI in hospitalized children in the UK require significant improvement.
Abstract:
Objective: Acute kidney injury (AKI) is a significant cause of morbidity and mortality among hospitalised patients. The objectives in this study were (i) to investigate the incidence of AKI using the National Health Services (NHS) AKI e-alert algorithm as a means of identifying AKI; and (ii) in a randomly selected sub-group of children with AKI identified using the algorithm, to evaluate the recognition and management of AKI. Patients and Methods: Retrospective cross-sectional study with initial electronic retrieval of creatinine measurements at six hospitals in England over a six-month period. Results were evaluated using the NHS AKI e-alert algorithm with recognition and management of AKI stages 1, 2 and 3 reviewed in a sub-set of randomly selected patient case notes. Patients aged 29 to 17 years were included. AKI stage 1 was defined as a rise of 1.5 - ≤2x baseline creatinine level; AKI stage 2 a rise of ≤ 2.0 and < 3.0; AKI stage 3 a rise of ≥ 3.0. Urine output was not considered for AKI staging. Results: 57,278 creatinine measurements were analysed. 5,325 (10.8%) AKI alerts were noted in 1,112 patients with AKI 1 (62%), AKI 2 (16%) and AKI 3 (22%). There were 222 (20%) <1y, 432 (39%) 1 ≤ 6y, 192 (17%) 6 ≤ 11y, 207 (19%) 11 ≤ 16y, and 59 (5%) 16-17y. Case notes of 123 of 1,112 [11.1%] children with AKI alerts were reviewed. Confirmed AKI was recognised with a documented management plan following its identification in n = 32 [26%] patients only. Conclusions: In this first multicentre study of the incidence of AKI in children admitted to selected hospitals across England, the incidence of AKI was 10.8% with most patients under the age of 6 years and with AKI stage 1. Recognition and management of AKI was seen in just over 25% children. These data highlight the need to improve recognition of AKI in hospitalised children in the UK.
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