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Observational Study
. 2021 Aug 31;11(1):17429.
doi: 10.1038/s41598-021-97026-8.

Automated versus manual urine output monitoring in the intensive care unit

Affiliations
Observational Study

Automated versus manual urine output monitoring in the intensive care unit

Joni Minor et al. Sci Rep. .

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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Conflict of interest statement

JAK reports consulting fees from RenalSense. No other authors report any competing interests.

Figures

Figure 1
Figure 1
Comparison between manual and automated. Comparison of Urine output documented in the electronic medical record by the bedside nurse and sensor measurements to the hourly scale measurements (gold standard) by study personnel.

References

    1. Ronco C, Bellomo R, Kellum JA. Acute kidney injury. Lancet. 2019;394(10212):1949–1964. doi: 10.1016/S0140-6736(19)32563-2. - DOI - PubMed
    1. Kellum JA, Sileanu FE, Murugan R, Lucko N, Shaw AD, Clermont G. Classifying AKI by urine output versus serum creatinine level. J. Am. Soc. Nephrol. 2015;26(9):2231–2238. doi: 10.1681/ASN.2014070724. - DOI - PMC - PubMed
    1. Kaddourah A, Basu RK, Bagshaw SM, Goldstein SL, Investigators A. Epidemiology of acute kidney injury in critically ill children and young adults. N. Engl. J. Med. 2017;376(1):11–20. doi: 10.1056/NEJMoa1611391. - DOI - PMC - PubMed
    1. Priyanka P, Zarbock A, Izawa J, Gleason TG, Renfurm RW, Kellum JA. The impact of acute kidney injury by serum creatinine or urine output criteria on major adverse kidney events in cardiac surgery patients. J. Thorac Cardiovasc. Surg. 2020;162:143–151. doi: 10.1016/j.jtcvs.2019.11.137. - DOI - PubMed
    1. Jin K, Murugan R, Sileanu FE, et al. Intensive monitoring of urine output is associated with increased detection of acute kidney injury and improved outcomes. Chest. 2017;152(5):972–979. doi: 10.1016/j.chest.2017.05.011. - DOI - PubMed

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