Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/27073
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dc.contributor.authorMurugan, Raghavan-
dc.contributor.authorKerti, Samantha J-
dc.contributor.authorChang, Chung-Chou H-
dc.contributor.authorGallagher, Martin-
dc.contributor.authorNeto, Ary Serpa-
dc.contributor.authorClermont, Gilles-
dc.contributor.authorRonco, Claudio-
dc.contributor.authorPalevsky, Paul M-
dc.contributor.authorKellum, John A-
dc.contributor.authorBellomo, Rinaldo-
dc.date2021-07-21-
dc.date.accessioned2021-07-26T05:06:57Z-
dc.date.available2021-07-26T05:06:57Z-
dc.date.issued2022-
dc.identifier.citationBlood purification 2022; 51(5): 397-409en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/27073-
dc.description.abstractHigher net ultrafiltration (UFNET) rates are associated with mortality among critically ill patients with acute kidney injury (AKI) and treated with continuous renal replacement therapy (CRRT). The aim of the study was to discover whether UFNET rates are associated with renal recovery and independence from renal replacement therapy (RRT). Retrospective cohort study using data from the Randomized Evaluation of Normal versus Augmented Level of Renal Replacement Therapy trial that enrolled 1,433 critically ill patients with AKI and treated with CRRT between December 2005 and November 2008 across 35 intensive care units in Australia and New Zealand. We examined the association between UFNET rate and time to independence from RRT by day 90 using competing risk regression after accounting for mortality. The UFNET rate was defined as the volume of fluid removed per hour adjusted for patient body weight. Median age was 67.3 (interquartile range [IQR], 57-76.3) years, 64.4% were male, median Acute Physiology and Chronic Health Evaluation-III score was 100 (IQR, 84-118), and 634 (44.2%) died by day 90. Kidney recovery occurred in 755 patients (52.7%). Using tertiles of UFNET rates, 3 groups were defined: high, >1.75; middle, 1.01-1.75; and low, <1.01 mL/kg/h. Proportion of patients alive and independent of RRT among the groups were 47.8 versus 57.2 versus 53.0%; p = 0.01. Using competing risk regression, higher UFNET rate tertile compared with middle (cause-specific hazard ratio [csHR], 0.79, 95% CI, 0.66-0.95; subdistribution hazard ratio [sHR], 0.80, 95% CI, 0.67-0.97) and lower (csHR, 0.69, 95% CI, 0.56-0.85; sHR, 0.78, 95% CI 0.64-0.95) tertiles were associated with a longer time to independence from RRT. Every 1.0 mL/kg/h increase in rate was associated with a lower probability of kidney recovery (csHR, 0.81, 95% CI, 0.74-0.89; and sHR, 0.87, 95% CI, 0.80-0.95). Using the joint model, longitudinal increases in UFNET rates were also associated with a lower renal recovery (β = -0.29, p < 0.001). UFNET rates >1.75 mL/kg/h compared with rates 1.01-1.75 and <1.01 mL/kg/h were associated with a longer duration of dependence on RRT. Randomized clinical trials are required to confirm this UFNET rate-outcome relationship.en
dc.language.isoeng-
dc.subjectAcute kidney injuryen
dc.subjectCompeting risken
dc.subjectKidney replacement therapyen
dc.subjectNet ultrafiltrationen
dc.subjectRenal recoveryen
dc.titleAssociation between Net Ultrafiltration Rate and Renal Recovery among Critically Ill Adults with Acute Kidney Injury Receiving Continuous Renal Replacement Therapy: An Observational Cohort Study.en
dc.typeJournal Articleen
dc.identifier.journaltitleBlood Purificationen
dc.identifier.affiliationDepartment of Intensive Care, Amsterdam University Medical Centers, Amsterdam, The Netherlandsen
dc.identifier.affiliationRenal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USAen
dc.identifier.affiliationDepartment of Medicine, International Renal Research Institute of Vicenza and Department of Clinical Nephrology, San Bortolo Hospital, University of Padova, Vicenza, Italyen
dc.identifier.affiliationDepartment of Critical Care Medicine, The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USAen
dc.identifier.affiliationDepartment of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USAen
dc.identifier.affiliationDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USAen
dc.identifier.affiliationThe George Institute for Global Health and University of Sydney, Sydney, New South Wales, Australiaen
dc.identifier.affiliationThe University of Melbourne, Parkville, Victoria, Australiaen
dc.identifier.affiliationDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, Brazilen
dc.identifier.affiliationDepartment of Critical Care Medicine, The Center for Critical Care Nephrology, CRISMA, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USAen
dc.identifier.affiliationIntensive Careen
dc.identifier.doi10.1159/000517281en
dc.type.contentTexten
dc.identifier.pubmedid34289471-
local.name.researcherBellomo, Rinaldo
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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