Evidence map›Paper›PMID 37027058›Full record

Observational studyJournal of clinical monitoring and computing2023

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.

Guy Fishman, Eilon Ram, Dan Gorfil, Yigal Kassif, Rachel David, Tzlil Hershko, Manu L N G Malbrain, Pierre Singer, Daniel I Sessler

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 4 countries.

Guy FishmanDepartment of General Intensive Care, Rabin Medical Center, campus Beilinson, Petah, Tikva, Israel.
Eilon RamDepartment of Cardiac Surgery, Leviev cardiothoracic and vascular center, Sackler School of Medicine, Sheba Medical Center at Tel Hashomer, Tel Aviv University, Tel Aviv, Israel.
Dan GorfilCardiothoracic Surgery Department, Rabin Medical Center, campus Beilinson, Petah, Tikva, Israel.
Yigal KassifDepartment of Cardiac Surgery, Leviev cardiothoracic and vascular center, Sackler School of Medicine, Sheba Medical Center at Tel Hashomer, Tel Aviv University, Tel Aviv, Israel.
Rachel DavidDepartment of General Intensive Care, Rabin Medical Center, campus Beilinson, Petah, Tikva, Israel.
Tzlil HershkoAdelson School of Medicine at Ariel University, Samaria, Israel.
Manu L N G MalbrainFirst Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Jaczewskiego street 8, Lublin, 20-954, Poland.
Pierre SingerDepartment of General Intensive Care, Rabin Medical Center, campus Beilinson, Petah, Tikva, Israel.
Daniel I SesslerDepartment of Outcomes Research, Cleveland Clinic, 9500 Euclid Ave L1-407, Cleveland, OH, 44195, USA.
Rabin Medical Center · ILTel Aviv University · ILAriel University · ILCleveland Clinic · USWallonie-Bruxelles International · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUrine output is used to evaluate fluid status and is an important marker for acute kidney injury (AKI). Our primary aim was to validate a new automatic urine output monitoring device by comparison to the current practice - the standard urometer.

methodsWe conducted a prospective observational study in three ICUs. Urine flow measurements by Serenno Medical Automatic urine output measuring device (Serenno Medical, Yokneam, Israel) were compared to standard urometer readings taken automatically at 5-minutes intervals by a camera, and to hourly urometer readings by the nurses, both over 1 to 7 days. Our primary outcome was the difference between urine flow assessed by the Serenno device and reference camera-derived measurements (Camera). Our secondary outcome was the difference between urine flow assessed by the Serenno device and hourly nursing assessments (Nurse), and detection of oliguria.

resultsThirty-seven patients completed the study, with 1,306 h of recording and a median of 25 measurement hours per patient. Bland and Altman analysis comparing the study device to camera measurements demonstrated good agreement, with a bias of -0.4 ml/h and 95% confidence intervals ranging from - 28 to 27ml/h. Concordance was 92%. The correlation between Camera and hourly nursing assessment of urine output was distinctly worse with a bias of 7.2 ml and limits of agreement extending from - 75 to + 107 ml. Severe oliguria (urine output < 0.3 ml/kg/h) lasting 2 h or more was common and observed in 8 (21%) of patients. Among the severe oliguric events lasting more than 3 consecutive hours, 6 (41%) were not detected or documented by the nursing staff. There were no device-related complications.

conclusionThe Serenno Medical Automatic urine output measuring device required minimal supervision, little ICU nursing staff attention, and is sufficiently accurate and precise. In addition to providing continuous assessments of urine output, it was considerably more accurate than hourly nursing assessments.

Indexed as

Acute Kidney InjuryOliguriaCritical IllnessHumansIntensive Care UnitsProspective StudiesAcute kidney InjuryAnuriaContinuous monitoringIntensive careOliguriaUrine output

Identifiers

PMID37027058
PMCPMC10080177
OpenAlexW4362692081

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.