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Improving awareness of kidney function through electronic urine output monitoring: a comparative study

BACKGROUND: The current classification for acute kidney injury (AKI) according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria integrates both serum creatinine (SCr) and urine output (UO). Most reports on AKI claim to use KDIGO guidelines but fail to include the UO criterion. It ha...

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Autores principales: Murad, Omar, Orjuela Cruz, Daniel F, Goldman, Aliza, Stern, Tal, van Heerden, Peter Vernon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792308/
https://www.ncbi.nlm.nih.gov/pubmed/36572867
http://dx.doi.org/10.1186/s12882-022-03046-5
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author Murad, Omar
Orjuela Cruz, Daniel F
Goldman, Aliza
Stern, Tal
van Heerden, Peter Vernon
author_facet Murad, Omar
Orjuela Cruz, Daniel F
Goldman, Aliza
Stern, Tal
van Heerden, Peter Vernon
author_sort Murad, Omar
collection PubMed
description BACKGROUND: The current classification for acute kidney injury (AKI) according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria integrates both serum creatinine (SCr) and urine output (UO). Most reports on AKI claim to use KDIGO guidelines but fail to include the UO criterion. It has been shown that patients who had intensive UO monitoring, with or without AKI, had significantly less cumulative fluid volume and fluid overload, reduced vasopressor use, and improved 30-day mortality. We examined whether real-time monitoring of this simple, sensitive, and easy-to-use biomarker in the ICU led to more appropriate intervention by healthcare providers and better outcomes.  METHODS: RenalSense Clarity RMS Consoles were installed in the General ICU at the Hadassah Medical Center, Israel, from December 2019 to November 2020. The Clarity RMS system continuously and electronically monitors UO in real-time. 100 patients were randomly selected from this period as the study group (UO(elec)) and compared to a matched control group (UO(manual)) from the same period two years earlier. To test whether there was an association between oliguric hours and fluid treatment in each group, the correlation was calculated and analyzed for each of the different UO monitoring methods. RESULTS: Therapeutic intervention: The correlation of the sum of all oliguric hours on Day 1 and 2 with the sum of any therapeutic intervention (fluid bolus or furosemide) showed a significant correlation for the study group UO(elec) (P = 0.017). The matched control group UO(manual) showed no such correlation (P = 0.932). Length of Stay (LOS): Median LOS [IQR] in the ICU of UO(elec) versus UO(manual) was 69.46 [44.7, 125.9] hours and 116.5 [62.46, 281.3] hours, respectively (P = 0.0002). CONCLUSIONS: The results of our study strongly suggest that ICU patients had more meaningful and better medical intervention, and improved outcomes, with electronic UO monitoring than with manual monitoring. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-03046-5.
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spelling pubmed-97923082022-12-27 Improving awareness of kidney function through electronic urine output monitoring: a comparative study Murad, Omar Orjuela Cruz, Daniel F Goldman, Aliza Stern, Tal van Heerden, Peter Vernon BMC Nephrol Research BACKGROUND: The current classification for acute kidney injury (AKI) according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria integrates both serum creatinine (SCr) and urine output (UO). Most reports on AKI claim to use KDIGO guidelines but fail to include the UO criterion. It has been shown that patients who had intensive UO monitoring, with or without AKI, had significantly less cumulative fluid volume and fluid overload, reduced vasopressor use, and improved 30-day mortality. We examined whether real-time monitoring of this simple, sensitive, and easy-to-use biomarker in the ICU led to more appropriate intervention by healthcare providers and better outcomes.  METHODS: RenalSense Clarity RMS Consoles were installed in the General ICU at the Hadassah Medical Center, Israel, from December 2019 to November 2020. The Clarity RMS system continuously and electronically monitors UO in real-time. 100 patients were randomly selected from this period as the study group (UO(elec)) and compared to a matched control group (UO(manual)) from the same period two years earlier. To test whether there was an association between oliguric hours and fluid treatment in each group, the correlation was calculated and analyzed for each of the different UO monitoring methods. RESULTS: Therapeutic intervention: The correlation of the sum of all oliguric hours on Day 1 and 2 with the sum of any therapeutic intervention (fluid bolus or furosemide) showed a significant correlation for the study group UO(elec) (P = 0.017). The matched control group UO(manual) showed no such correlation (P = 0.932). Length of Stay (LOS): Median LOS [IQR] in the ICU of UO(elec) versus UO(manual) was 69.46 [44.7, 125.9] hours and 116.5 [62.46, 281.3] hours, respectively (P = 0.0002). CONCLUSIONS: The results of our study strongly suggest that ICU patients had more meaningful and better medical intervention, and improved outcomes, with electronic UO monitoring than with manual monitoring. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-03046-5. BioMed Central 2022-12-27 /pmc/articles/PMC9792308/ /pubmed/36572867 http://dx.doi.org/10.1186/s12882-022-03046-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Murad, Omar
Orjuela Cruz, Daniel F
Goldman, Aliza
Stern, Tal
van Heerden, Peter Vernon
Improving awareness of kidney function through electronic urine output monitoring: a comparative study
title Improving awareness of kidney function through electronic urine output monitoring: a comparative study
title_full Improving awareness of kidney function through electronic urine output monitoring: a comparative study
title_fullStr Improving awareness of kidney function through electronic urine output monitoring: a comparative study
title_full_unstemmed Improving awareness of kidney function through electronic urine output monitoring: a comparative study
title_short Improving awareness of kidney function through electronic urine output monitoring: a comparative study
title_sort improving awareness of kidney function through electronic urine output monitoring: a comparative study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792308/
https://www.ncbi.nlm.nih.gov/pubmed/36572867
http://dx.doi.org/10.1186/s12882-022-03046-5
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