Show simple item record

dc.contributor.authorMandelbaum, Tal
dc.contributor.authorScott, Daniel
dc.contributor.authorLee, Joon
dc.contributor.authorMark, Roger Greenwood
dc.contributor.authorMalhotra, Atul
dc.contributor.authorWaikar, Sushrut S.
dc.contributor.authorHowell, Michael D.
dc.contributor.authorTalmor, Daniel
dc.date.accessioned2012-06-06T20:02:24Z
dc.date.available2012-06-06T20:02:24Z
dc.date.issued2011-12
dc.identifier.issn0090-3493
dc.identifier.urihttp://hdl.handle.net/1721.1/71117
dc.description.abstractObjective: Acute kidney injury affects 5% to 7% of all hospitalized patients with a much higher incidence in the critically ill. The Acute Kidney Injury Network proposed a definition in which serum creatinine rises (>0.3 mg/dL) and/or oliguria (<0.5 mL/kg/hr) for a period of 6 hrs are used to detect acute kidney injury. Accurate urine output measurements as well as serum creatinine values from our database were used to detect patients with acute kidney injury and calculate their corresponding mortality risk and length of stay. Design: Retrospective cohort study. Setting: Seven intensive care units at a large, academic, tertiary medical center. Patients: Adult patients without evidence of end-stage renal disease with more than two creatinine measurements and at least a 6-hr urine output recording who were admitted to the intensive care unit between 2001 and 2007. Interventions: Medical records of all the patients were reviewed. Demographic information, laboratory results, charted data, discharge diagnoses, physiological data, and patient outcomes were extracted from the Multiparameter Intelligent Monitoring in Intensive Care II database using a SQL query. Measurements and Main Results: From 19,677 adult patient records, 14,524 patients met the inclusion criteria. Fifty-seven percent developed acute kidney injury during their intensive care unit stay. Inhospital mortality rates were: 13.9%, 16.4%, 33.8% for acute kidney injury 1, 2, and 3, respectively, compared with only 6.2% in patients without acute kidney injury (p < .0001). After adjusting for multiple covariates, acute kidney injury was associated with increased hospital mortality (odds ratio 1.4 and 1.3 for acute kidney injury 1 and acute kidney injury 2 and 2.5 for acute kidney injury 3; p < .0001). Using multivariate logistic regression, we found that in patients who developed acute kidney injury, urine output alone was a better mortality predictor than creatinine alone or the combination of both. Conclusions: More than 50% of our critically ill patients developed some stage of acute kidney injury resulting in a stagewise increased mortality risk. However, the mortality risk associated with acute kidney injury stages 1 and 2 does not differ significantly. In light of these findings, re-evaluation of the Acute Kidney Injury Network staging criteria should be considered.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH Grant No. R01-EB001659)en_US
dc.language.isoen_US
dc.publisherWolters Kluwer - Lippincott Williams & Wilkinsen_US
dc.relation.isversionofhttp://journals.lww.com/ccmjournal/Abstract/2011/12000/Outcome_of_critically_ill_patients_with_acute.10.aspxen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMark via Courtney Crummetten_US
dc.titleOutcome of critically ill patients with acute kidney injury using the akin criteriaen_US
dc.typeArticleen_US
dc.identifier.citationMandelbaum, Tal et al. "Outcome of critically ill patients with acute kidney injury using the akin criteria." Critical Care Medicine (2011), 39:12, pp. 2659-2664en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.approverMark, Roger Greenwood
dc.contributor.mitauthorMark, Roger Greenwood
dc.contributor.mitauthorMandelbaum, Tal
dc.contributor.mitauthorScott, Daniel
dc.contributor.mitauthorLee, Joon
dc.relation.journalCritical Care Medicineen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMandelbaum, Tal; Scott, Daniel J.; Lee, Joon; Mark, Roger G.; Malhotra, Atul; Waikar, Sushrut S.; Howell, Michael D.; Talmor, Danielen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8593-9321
dc.identifier.orcidhttps://orcid.org/0000-0002-6318-2978
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record