ArticleBMC nephrology2021
Early identification of acute kidney injury in the ICU with real-time urine output monitoring: a clinical investigation.
Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Impact of 24-hour urine output trajectories on intra-abdominal hypertension risk in acute pancreatitis patients: Insights from MIMIC-IV database.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2026Article
- Timing of acute kidney injury in infarction-related cardiogenic shock: early onset signals a high-risk phenotype - a retrospective observational study.BMC nephrology · 2026Observational
- Transforming patient management: a study on secure, cost-effective, automated remote monitoring of urine bags.Scientific reports · 2025Article
- Perioperative fluid management for adult cardiac surgery: network meta-analysis pooling on twenty randomised controlled trials.Perioperative medicine (London, England) · 2024Article
- Urine output is an early and strong predictor of acute kidney injury and associated mortality: a systematic literature review of 50 clinical studies.Annals of intensive care · 2024Review
- Machine-learning model for predicting oliguria in critically ill patients.Scientific reports · 2024Article
- Improving awareness of kidney function through electronic urine output monitoring: a comparative study.BMC nephrology · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundKDIGO (Kidney Disease: Improving Global Outcomes) provides two sets of criteria to identify and classify acute kidney injury (AKI): serum creatinine (SCr) and urine output (UO). Inconsistencies in the application of KDIGO UO criteria, as well as collecting and classifying UO data, have prevented an accurate assessment of the role this easily available biomarker can play in the early identification of AKI. STUDY GOAL: To assess and compare the performance of the two KDIGO criteria (SCr and UO) for identification of AKI in the intensive care unit (ICU) by comparing the standard SCr criteria to consistent, real-time, consecutive, electronic urine output measurements.
methodsNinety five catheterized patients in the General ICU (GICU) of Hadassah Medical Center, Israel, were connected to the RenalSense™ Clarity RMS™ device to automatically monitor UO electronically (UO
resultsReal-time consecutive UO measurements identified significantly more AKI patients than SCr in the patient population, 57.9% (N = 55) versus 26.4% (N = 25), respectively (P < 0.0001). In 20 patients that had AKI according to both criteria, time to AKI identification was significantly earlier using the UO
conclusionApplication of KDIGO criteria for AKI using continuous electronic monitoring of UO identifies more AKI patients, and identifies them earlier, than using the SCr criteria alone. This can enable the clinician to set protocol goals for earlier intervention for the prevention or treatment of AKI.
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