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Review
. 2023 Dec 6:16:251-259.
doi: 10.2147/MDER.S428379. eCollection 2023.

Systematic Review of Automated Diuresis Measurement in Critically Ill Patients

Jose-Luis Lafuente #  1   2 , Samuel González  1   3 , Vicente Gómez-Tello  1   4 , Enrique Puertas  1   5 , Eva Avilés  1   2 , Juan-Jose Beunza #  1   6
Affiliations
Review

Systematic Review of Automated Diuresis Measurement in Critically Ill Patients

Jose-Luis Lafuente et al. Med Devices (Auckl). .

Abstract

The measurement of urinary flow is a vital medical indicator for critically ill patients in intensive care units. However, there is a clinical need to automate the real-time measurement of diuresis using Internet of Medical Things devices, allowing continuous monitoring of urine flow. A systematic review of scientific literature, patents, and available commercial products was conducted, leading to the conclusion that there is no suitable device to fulfill this need. We identified six characteristics that such a device should possess: minimizing contact with urine, detecting changes in flow patterns, the ability to record minute-by-minute data, capable of sending early alerts, not relying on exclusive disposable components, and being user-friendly for clinical professionals. Additionally, cost-effectiveness is crucial, encompassing the device, infrastructure, maintenance, and usage.

Keywords: clinical decision support systems; critical care; internet of things; renal insufficiency; urinometer.

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Conflict of interest statement

The authors report no conflicts of interest in this work.

Figures

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Graphical abstract
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References

    1. Davoudi A, Malhotra KR, Shickel B, et al. Intelligent ICU for autonomous patient monitoring using pervasive sensing and deep learning. Sci Rep. 2019;9(1):8020. doi: 10.1038/s41598-019-44004-w - DOI - PMC - PubMed
    1. Yoon JH, Jeanselme V, Dubrawski A, Hravnak M, Pinsky MR, Clermont G. Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit. Crit Care. 2020;24(1):661. doi: 10.1186/s13054-020-03379-3 - DOI - PMC - PubMed
    1. Hariri G, Joffre J, Leblanc G, et al. Narrative review: clinical assessment of peripheral tissue perfusion in septic shock. Ann Intensive Care. 2019;9(1):37. doi: 10.1186/s13613-019-0511-1 - DOI - PMC - PubMed
    1. Strasinger SK, Lorenzo D. Análisis de orina y de los líquidos corporales [Urinalysis and body fluid tests]. 5a ed. Editorial Panamericana; 2008.
    1. Mehta RL. Acute kidney injury: urine output in AKI--The canary in the coal mine? Nat Rev Nephrol. 2013;9(10):568–570. doi: 10.1038/nrneph.2013.178 - DOI - PubMed