Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/22335
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dc.contributor.authorNaorungroj, Thummaporn-
dc.contributor.authorSerpa Neto, Ary-
dc.contributor.authorZwakman-Hessels, Lara-
dc.contributor.authorYanase, Fumitaka-
dc.contributor.authorEastwood, Glenn M-
dc.contributor.authorBellomo, Rinaldo-
dc.date2019-12-17-
dc.date.accessioned2020-01-07T00:33:33Z-
dc.date.available2020-01-07T00:33:33Z-
dc.date.issued2020-
dc.identifier.citationBlood Purification 2020; 49(1-2): 93-101-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/22335-
dc.description.abstractLittle is known about early (first 48 h) hourly and cumulative fluid balance (FB) during continuous renal replacement therapy (CRRT). To study the characteristics and outcome associations of early hourly and cumulative FB. We studied FB in CRRT patients (2016-2018). Among 350 patients, mean hourly FB became negative after 20 CRRT hours, but within 6 CRRT hours in patients with baseline fluid overload. A negative early FB was never achieved in patients receiving vasopressor therapy (p < 0.001). Mortality was 31%. The percentage of hourly negative FB was independently associated with decreased ICU mortality. A time-weighted hourly FB between 18.5 and -33 mL/h was also significantly and independently associated with decreased mortality. In CRRT patients, an early FB conservative approach is possible, modulated by patient characteristics, and associated with a low mortality. Moreover, avoidance of an early positive FB is associated with decreased mortality.-
dc.language.isoeng-
dc.subjectContinuous renal replacement therapy-
dc.subjectFluid overload-
dc.subjectHourly fluid balance-
dc.subjectMortality-
dc.subjectVasopressors-
dc.titleHourly Fluid Balance in Patients Receiving Continuous Renal Replacement Therapy.-
dc.typeJournal Article-
dc.identifier.journaltitleBlood Purification-
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Center, Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazilen
dc.identifier.affiliationDepartment of Intensive Care Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlandsen
dc.identifier.affiliationDepartment of Intensive Care Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailanden
dc.identifier.affiliationIntensive Careen
dc.identifier.affiliationDepartment of Critical Care Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlandsen
dc.identifier.affiliationCentre for Integrated Critical Care, The University of Melbourne, Melbourne, Victoria, Australia-
dc.identifier.affiliationData Analytics Research and Evaluation (DARE) Centre, Austin Health and The University of Melbourne, Heidelberg, Victoria, Australia-
dc.identifier.doi10.1159/000503771-
dc.identifier.orcid0000-0002-1650-8939-
dc.identifier.pubmedid31846982-
dc.type.austinJournal Article-
local.name.researcherBellomo, Rinaldo
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
crisitem.author.deptIntensive Care-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
crisitem.author.deptIntensive Care-
crisitem.author.deptIntensive Care-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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