Observational studyScientific reports2021
Automated versus manual urine output monitoring in the intensive care unit.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
- From manual to digital: prospective ICU evaluation of the FIZE kUOBMC nursing · 2026Article
- Sensing in Urinary Catheter Systems: From Measurands and Signal Fidelity to Supportable Clinical Claims.Sensors (Basel, Switzerland) · 2026Review
- Automated monitoring of urine output in hospitalized patients with indwelling urinary catheters: a clinical evaluation on the cardiology ward.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2026Article
- Automated estimation of drain output in postoperative patients using deep learning on clinical images.Scientific reports · 2026Article
- Development and Validation of an Optical Sensor-Based Automated Urine Flow Meter for Real-Time Patient Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Transforming patient management: a study on secure, cost-effective, automated remote monitoring of urine bags.Scientific reports · 2025Article
- Averaged versus Persistent Reduction in Urine Output to Define Oliguria in Critically Ill Patients: An Observational Study.Clinical journal of the American Society of Nephrology : CJASN · 2024Article
- Definition of Oliguria in the Intensive Care Unit: How Do You Do It?Clinical journal of the American Society of Nephrology : CJASN · 2024Article
- Redefining urine output thresholds for acute kidney injury criteria in critically Ill patients: a derivation and validation study.Critical care (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
- Evaluation of a real-life experience with a digital fluid balance monitoring technology.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Early detection of oliguric events in critically ill patients in the ICU with a novel continuous urine flow measurement device: results of an initial validation study.Journal of clinical monitoring and computing · 2023Observational
- Development of a urinometer for automatic measurement of urine flow in catheterized patients.PloS one · 2023Article
- Systematic Review of Automated Diuresis Measurement in Critically Ill Patients.Medical devices (Auckland, N.Z.) · 2023Review
- Improving awareness of kidney function through electronic urine output monitoring: a comparative study.BMC nephrology · 2022Article
- New diagnostics for AKI in critically ill patients: what to expect in the future.Intensive care medicine · 2022Article
- Alerting to acute kidney injury - Challenges, benefits, and strategies.Practical laboratory medicine · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney injury (AKI) is defined by changes in serum creatinine and urine output (UO). Significant limitations exist regarding accurate ascertainment of urine output even within the intensive care unit. We sought to evaluate an automated urine output collections system and compare it to nursing measurements. We prospectively collected urine output using an electronic urine monitoring system and compared it to charted hourly UO in 44 patients after cardiac surgery at a single university hospital ICU. We calculated UO and oliguria rates and compared them to data from the sensor and from nursing charting. A total of 187 hourly UO measurements were obtained and on average, UO was reported 47 min late, with a median of 18 min, and a maximum of almost 6 h. Patients had a mean hourly UO of 76.3 ml over the observation period. Compared to manual measurements by study personnel, nurses significantly overestimated hourly UO by 19.9 ml (95% CI: 10.3; 29.5; p = < 0.001). By contrast, the mean difference between the UO measured with the sensor and by study personnel was 2.29 ml (95% CI: - 6.7; 11.3), p = 0.61. Electronic UO monitoring is significantly more accurate than nurse-performed manual measurements in actual intensive care patients. Furthermore, timely ascertainment of UO is difficult to achieve with manual technique, resulting in important delays in detecting oliguria perhaps leading to missed cases of AKI.
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