Prediction of hospital mortality by changes in the estimated glomerular filtration rate (eGFR).

Hdl Handle:
http://hdl.handle.net/10147/559234
Title:
Prediction of hospital mortality by changes in the estimated glomerular filtration rate (eGFR).
Authors:
Berzan, E; Mellotte, G; Silke, B
Citation:
Prediction of hospital mortality by changes in the estimated glomerular filtration rate (eGFR). 2015, 108 (3):87-9 Ir Med J
Publisher:
Irish Medical Journal
Journal:
Irish medical journal
Issue Date:
Mar-2015
URI:
http://hdl.handle.net/10147/559234
PubMed ID:
25876302
Abstract:
Deterioration of physiological or laboratory variables may provide important prognostic information. We have studied whether a change in estimated glomerular filtration rate (eGFR) value calculated using the (Modification of Diet in Renal Disease (MDRD) formula) over the hospital admission, would have predictive value. An analysis was performed on all emergency medical hospital episodes (N = 61964) admitted between 1 January 2002 and 31 December 2011. A stepwise logistic regression model examined the relationship between mortality and change in renal function from admission to discharge. The fully adjusted Odds Ratios (OR) for 5 classes of GFR deterioration showed a stepwise increased risk of 30-day death with OR's of 1.42 (95% CI: 1.20, 1.68), 1.59 (1.27, 1.99), 2.71 (2.24, 3.27), 5.56 (4.54, 6.81) and 11.9 (9.0, 15.6) respectively. The change in eGFR during a clinical episode, following an emergency medical admission, powerfully predicts the outcome.
Item Type:
Article
Language:
en
Keywords:
HOSPITALS; MORTALITY; RISK ASSESSMENT
MeSH:
Emergencies; Emergency Treatment; Female; Glomerular Filtration Rate; Hospital Mortality; Humans; Logistic Models; Male; Middle Aged; Odds Ratio; Predictive Value of Tests; Prognosis; Risk Assessment; Risk Factors; Severity of Illness Index
ISSN:
0332-3102

Full metadata record

DC FieldValue Language
dc.contributor.authorBerzan, Een
dc.contributor.authorMellotte, Gen
dc.contributor.authorSilke, Ben
dc.date.accessioned2015-07-08T11:18:17Zen
dc.date.available2015-07-08T11:18:17Zen
dc.date.issued2015-03en
dc.identifier.citationPrediction of hospital mortality by changes in the estimated glomerular filtration rate (eGFR). 2015, 108 (3):87-9 Ir Med Jen
dc.identifier.issn0332-3102en
dc.identifier.pmid25876302en
dc.identifier.urihttp://hdl.handle.net/10147/559234en
dc.description.abstractDeterioration of physiological or laboratory variables may provide important prognostic information. We have studied whether a change in estimated glomerular filtration rate (eGFR) value calculated using the (Modification of Diet in Renal Disease (MDRD) formula) over the hospital admission, would have predictive value. An analysis was performed on all emergency medical hospital episodes (N = 61964) admitted between 1 January 2002 and 31 December 2011. A stepwise logistic regression model examined the relationship between mortality and change in renal function from admission to discharge. The fully adjusted Odds Ratios (OR) for 5 classes of GFR deterioration showed a stepwise increased risk of 30-day death with OR's of 1.42 (95% CI: 1.20, 1.68), 1.59 (1.27, 1.99), 2.71 (2.24, 3.27), 5.56 (4.54, 6.81) and 11.9 (9.0, 15.6) respectively. The change in eGFR during a clinical episode, following an emergency medical admission, powerfully predicts the outcome.en
dc.language.isoenen
dc.publisherIrish Medical Journalen
dc.rightsArchived with thanks to Irish medical journalen
dc.subjectHOSPITALSen
dc.subjectMORTALITYen
dc.subjectRISK ASSESSMENTen
dc.subject.meshEmergenciesen
dc.subject.meshEmergency Treatmenten
dc.subject.meshFemaleen
dc.subject.meshGlomerular Filtration Rateen
dc.subject.meshHospital Mortalityen
dc.subject.meshHumansen
dc.subject.meshLogistic Modelsen
dc.subject.meshMaleen
dc.subject.meshMiddle Ageden
dc.subject.meshOdds Ratioen
dc.subject.meshPredictive Value of Testsen
dc.subject.meshPrognosisen
dc.subject.meshRisk Assessmenten
dc.subject.meshRisk Factorsen
dc.subject.meshSeverity of Illness Indexen
dc.titlePrediction of hospital mortality by changes in the estimated glomerular filtration rate (eGFR).en
dc.typeArticleen
dc.identifier.journalIrish medical journalen
dc.description.fundingNo fundingen
dc.description.provinceLeinsteren
dc.description.peer-reviewpeer-reviewen

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