Literature DB >> 19327333

Accuracy and ease of use of a novel electronic urine output monitoring device compared with standard manual urinometer in the intensive care unit.

Moshe Hersch1, Sharon Einav, Gabriel Izbicki.   

Abstract

INTRODUCTION: Urine output (UO) is a critical parameter in the intensive care unit not yet electronically monitored. This study tested the accuracy and ease of use of a new electronic continuous UO monitoring device (Urinfo 2000; Medynamix, Jerusalem, Israel).
METHODS: This article is a prospective study in a 6-bed intensive care unit. In consecutive patients with indwelling urinary catheter and expected stay of 24 hours or more, hourly UO was measured by either Urinfo or manual urinometer, validated by cylinder measurements. Overall accuracy was assessed comparing each method with the cylinder, using regression analysis, Bland-Altman plots, and, for UO of 40 mL/h or less, standard evaluation of diagnostics. Staff satisfaction was assessed by a short questionnaire.
RESULTS: In 20 patients, 453 measurements were obtained, 167 by urinometer and cylinder and 286 by Urinfo and cylinder. The mean relative percentage deviation from the cylinder measurement was 8% and 26% for the Urinfo and urinometer, respectively (P < .05). Bland-Altman plots of each method vs the cylinder showed a better agreement with the Urinfo. Positive predictive value for UO of 40 mL/h or less (cylinder as criterion standard) was 91% and 77% for the Urinfo and urinometer, respectively. The questionnaire revealed an 87% satisfaction with the Urinfo.
CONCLUSIONS: Urinfo is significantly more accurate and "user friendly" than the urinometer. It promises future incorporation of these data into patient data management systems for the benefit of patients' management.

Entities:  

Mesh:

Year:  2009        PMID: 19327333     DOI: 10.1016/j.jcrc.2008.12.008

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  12 in total

1.  Urine flow rate monitoring in hypovolemic multiple trauma patients.

Authors:  Evgeni Brotfain; Yoram Klein; Ronen Toledano; Leonid Koyfman; Dmitry Frank; Micha Y Shamir; Moti Klein
Journal:  World J Emerg Surg       Date:  2017-08-18       Impact factor: 5.469

2.  External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients.

Authors:  Francesca Alfieri; Andrea Ancona; Giovanni Tripepi; Vincenzo Randazzo; Annunziata Paviglianiti; Eros Pasero; Luigi Vecchi; Cristina Politi; Valentina Cauda; Riccardo Maria Fagugli
Journal:  J Nephrol       Date:  2022-05-12       Impact factor: 4.393

3.  On the minute by minute variations of urine output: a study in a porcine model.

Authors:  Abraham Otero; Pablo Cardinal-Fernández; Yeny Rojas; Nicolás Nin; Leticia Martínez-Caro; Andrés Esteban; José A Lorente
Journal:  J Nephrol       Date:  2014-01-15       Impact factor: 3.902

4.  Physiological biomarkers of acute kidney injury: a conceptual approach to improving outcomes.

Authors:  Mark D Okusa; Bertrand L Jaber; Peter Doran; Jacques Duranteau; Li Yang; Patrick T Murray; Ravindra L Mehta; Can Ince
Journal:  Contrib Nephrol       Date:  2013-05-13       Impact factor: 1.580

5.  Validation of a Real-Time Minute-to-Minute Urine Output Monitor and the Feasibility of Its Clinical Use for Patients Undergoing Cardiac Surgery.

Authors:  Aaron J Chang; Yohei Nomura; Viachaslau M Barodka; Daijiro Hori; Jonathan T Magruder; Nevin M Katz; Dan E Berkowitz; Charles W Hogue
Journal:  Anesth Analg       Date:  2017-12       Impact factor: 5.108

6.  Defining oliguria during cardiopulmonary bypass and its relationship with cardiac surgery-associated acute kidney injury.

Authors:  D Hori; N M Katz; D M Fine; M Ono; V M Barodka; L C Lester; G Yenokyan; C W Hogue
Journal:  Br J Anaesth       Date:  2016-12       Impact factor: 9.166

7.  A device for automatically measuring and supervising the critical care patient's urine output.

Authors:  Abraham Otero; Francisco Palacios; Teodor Akinfiev; Roemi Fernández
Journal:  Sensors (Basel)       Date:  2010-01-26       Impact factor: 3.576

8.  A low cost device for monitoring the urine output of critical care patients.

Authors:  Abraham Otero; Francisco Palacios; Teodor Akinfiev; Andrey Apalkov
Journal:  Sensors (Basel)       Date:  2010-12-02       Impact factor: 3.576

9.  Performance and user evaluation of a novel capacitance-based automatic urinometer compared with a manual standard urinometer after elective cardiac surgery.

Authors:  Anton Eklund; Martin Slettengren; Jan van der Linden
Journal:  Crit Care       Date:  2015-04-21       Impact factor: 9.097

10.  An automatic critical care urine meter.

Authors:  Abraham Otero; Roemi Fernandez; Andrey Apalkov; Manuel Armada
Journal:  Sensors (Basel)       Date:  2012-09-26       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.