Evidence map›Paper›PMID 36006963›Full record

ArticlePloS one2022

Assessment of prescribed vs. achieved fluid balance during continuous renal replacement therapy and mortality outcome.

Javier A Neyra, Joshua Lambert, Victor Ortiz-Soriano, Daniel Cleland, Jon Colquitt, Paul Adams, Brittany D Bissell, Lili Chan, Girish N Nadkarni, Ashita Tolwani and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Javier A NeyraDivision of Nephrology, Department of Internal Medicine, Bone and Mineral Metabolism, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0002-2817-2459
Joshua LambertCollege of Nursing, University of Cincinnati, Cincinnati, Ohio, United States of America.
Victor Ortiz-SorianoDivision of Nephrology, Department of Internal Medicine, Bone and Mineral Metabolism, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0001-8527-6919
Daniel ClelandPerformance Analytics Center of Excellence, University of Kentucky, Lexington, Kentucky, United States of America.
Jon ColquittPerformance Analytics Center of Excellence, University of Kentucky, Lexington, Kentucky, United States of America.
Paul AdamsDivision of Nephrology, Department of Internal Medicine, Bone and Mineral Metabolism, University of Kentucky, Lexington, Kentucky, United States of America.
Brittany D BissellDepartment of Pharmacy Practice and Science, University of Kentucky, Lexington, Kentucky, United States of America.
Lili ChanDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai New York, New York, NY, United States of America.
Girish N NadkarniDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai New York, New York, NY, United States of America.
Ashita TolwaniDivision of Nephrology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Stuart L GoldsteinCenter for Acute Care Nephrology, Cincinnati Children's Hospital and Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America.
University of Kentucky · USIcahn School of Medicine at Mount Sinai · USCincinnati Children's Hospital Medical Center · USUniversity of Alabama at Birmingham · USUniversity of Cincinnati Medical Center · US

Funding

The Southeastern Acute Kidney Injury (SEAK) Alliance for the COPE-AKI ConsortiumU01DK129989 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Javier A. Neyra, Edward D Siew · 2021 to 2026
$4.7M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
The Relation of Soluble Klotho with Cardiovascular Disease, Chronic Kidney Disease Progression, and Blood Pressure in the Systolic Blood Pressure Intervention TrialR01DK128208 · NIDDK · TUFTS MEDICAL CENTER · PI DREW, DAVID ALAN, NEYRA, JAVIER A. · 2021 to 2025
$1.6M
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement TherapyR56DK126930 · NIDDK · UNIVERSITY OF KENTUCKY · PI NADKARNI, GIRISH NITIN, NEYRA, JAVIER A. · 2020 to 2020
$100k
NIDDK NIH HHS R01 DK128208NIDDK NIH HHS R56 DK126930NIDDK NIH HHS U01 DK129989NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

backgroundFluid management during continuous renal replacement therapy (CRRT) requires accuracy in the prescription of desired patient fluid balance (FBGoal) and precision in the attainable patient fluid balance (FBAchieved). Herein, we examined the association of the gap between prescribed vs. achieved patient fluid balance during CRRT (%FBGap) with hospital mortality in critically ill patients.

methodsCohort study of critically ill adults with acute kidney injury (AKI) requiring CRRT and a prescription of negative fluid balance (mean patient fluid balance goal of negative ≥0.5 liters per day). Fluid management parameters included: 1) NUF (net ultrafiltration rate); 2) FBGoal; 3) FBAchieved; and 4) FBGap (% gap of fluid balance achieved vs. goal), all adjusted by patient's weight (kg) and duration of CRRT (hours).

resultsData from 653 patients (median of 102.2 patient-hours of CRRT) were analyzed. Mean (SD) age was 56.7 (14.6) years and 61.9% were male. Hospital mortality rate was 64%. Despite FBGoal was similar in patients who died vs. survived, survivors achieved greater negative fluid balance during CRRT than non-survivors: median FBAchieved -0.25 [-0.52 to -0.05] vs. 0.06 [-0.26 to 0.62] ml/kg/h, p<0.001. Median NUF was lower in patients who died vs. survived: 1.06 [0.63-1.47] vs. 1.22 [0.82-1.69] ml/kg/h, p<0.001, and median %FBGap was higher in patients who died (112.8%, 61.5 to 165.7) vs. survived (64.2%, 30.5 to 91.8), p<0.001. In multivariable models, higher %FBGap was independently associated with increased risk of hospital mortality: aOR (95% CI) 1.01 (1.01-1.02), p<0.001. NUF was not associated with hospital mortality when adjusted by %FBGap and other clinical parameters: aOR 0.96 (0.72-1.28), p = 0.771.

conclusionsHigher %FBGap was independently associated with an increased risk of hospital mortality in critically ill adults with AKI on CRRT in whom clinicians prescribed negative fluid balance via CRRT. %FBGap represents a novel quality indicator of CRRT delivery that could assist with operationalizing fluid management interventions during CRRT.

Indexed as

Acute Kidney InjuryContinuous Renal Replacement TherapyAdultCohort StudiesCritical IllnessDeathFemaleHumansMaleMiddle AgedRenal Replacement TherapyRetrospective StudiesWater-Electrolyte Balance

Identifiers

PMID36006963
PMCPMC9409548
OpenAlexW4293104882

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Registered trials

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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.