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https://ahro.austin.org.au/austinjspui/handle/1/18385
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DC Field | Value | Language |
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dc.contributor.author | Figge, James | - |
dc.contributor.author | Bellomo, Rinaldo | - |
dc.contributor.author | Egi, Moritoki | - |
dc.date | 2017-10-13 | - |
dc.date.accessioned | 2018-08-30T05:58:45Z | - |
dc.date.available | 2018-08-30T05:58:45Z | - |
dc.date.issued | 2018-04 | - |
dc.identifier.citation | Journal of Critical Care 2018; 44: 101-110 | - |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/18385 | - |
dc.description.abstract | Quantitative relationships among plasma [Lactate], [Pi], [Albumin], unmeasured anions ([UA]) and the anion gap (AGK) in lactic acidosis (LA) are not well defined. A mathematical model featuring compensatory potassium and chloride shifts and respiratory changes in LA demonstrated: (1) AGK=[Lactate]+Zp×[Pi]+2.4×[Albumin]+constant1+e, where Zp is a function of pH, and e reflects unmeasured anions and cations plus pH-related variations. Eq. (1) can be algebraically rearranged to incorporate the albumin-corrected anion gap, cAGK: (2) cAGK=[Lactate]+Zp×[Pi]+constant2+e. Eq. (1) was tested against 948 data sets from critically ill patients with [Lactate] 4.0mEq/L or greater. AGK and cAGK were evaluated against 12,341 data sets for their ability to detect [Lactate]>4.0mEq/L. Analysis of Eq. (1) revealed r2=0.5950, p<0.001. cAGk>15mEq/L exhibited a sensitivity of 93.0% [95% CI: 91.3-94.5] in detecting [Lactate]>4.0mEq/L, whereas AGK>15mEq/L exhibited a sensitivity of only 70.4% [67.5-73.2]. Additionally, [Lactate]>4.0mEq/L and cAGK>20mEq/L were each strongly associated with intensive care unit mortality (χ2>200, p<0.0001 for each). In LA, cAGK is more sensitive than AGK in predicting [Lactate]>4.0mEq/L. | - |
dc.language.iso | eng | - |
dc.title | Quantitative relationships among plasma lactate, inorganic phosphorus, albumin, unmeasured anions and the anion gap in lactic acidosis. | - |
dc.type | Journal Article | - |
dc.identifier.journaltitle | Journal of Critical Care | - |
dc.identifier.affiliation | School of Medicine, University of Melbourne, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | Department of Intensive Care, Austin Health, Heidelberg, Victoria, Australia | en |
dc.identifier.affiliation | Department of Medicine, Division of Endocrinology, St. Peter's Health Partners, Albany, NY, United States | - |
dc.identifier.affiliation | Department of Anesthesiology, Kobe University Hospital, Kobe City, Hyogo 650-0017, Japan | - |
dc.identifier.doi | 10.1016/j.jcrc.2017.10.007 | - |
dc.identifier.orcid | 0000-0002-1650-8939 | - |
dc.identifier.pubmedid | 29080515 | - |
dc.type.austin | Journal Article | - |
local.name.researcher | Bellomo, Rinaldo | |
item.grantfulltext | none | - |
item.openairetype | Journal Article | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Intensive Care | - |
crisitem.author.dept | Data Analytics Research and Evaluation (DARE) Centre | - |
Appears in Collections: | Journal articles |
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