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Preditores de injúria renal aguda e de mortalidade em uma Unidade de Terapia Intensiva

Overview of attention for article published in Jornal Brasileiro de Nefrologia, January 2015
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Title
Preditores de injúria renal aguda e de mortalidade em uma Unidade de Terapia Intensiva
Published in
Jornal Brasileiro de Nefrologia, January 2015
DOI 10.5935/0101-2800.20150007
Pubmed ID
Authors

Luis Alberto Batista Peres, Vanessa Wandeur, Tiemi Matsuo

Abstract

To compare clinical characteristics and outcomes of patients with and without acute kidney injury (AKI), to evaluate the incidence and mortality of AKI and predictors of AKI and death in patients hospitalized in an Intensive Care Unit (ICU). A retrospective study analyzed 152 patients admitted to a single ICU. We assessed age, gender, reason for hospitalization, risk factors for ARF, laboratory data, the need for renal therapy substitutive and mortality. Acute Physiology and Chronic Health Evaluation (APACHE II), Sequential Organ Failure Assessment (SOFA) and RIFLE were recorded on the day of ICU admission. We determined the incidence of AKI, mortality and the independent predictors of AKI and death using logistic regression model. Mean age was 57.1 ± 20 years, ranging between 19 to 88 years, and 60.1% were male. Non-dialysis dependent AKI occurred in 81 patients (53.2%) while the ARF requiring dialysis occurred in 19 patients (12.4%). The overall mortality rate in the ICU was 35.9%, whereas the mortality rate in patients with non-dialysis dependent AKI was 43.2% and the IRA with dialysis of 84.2%. In multivariate analysis, invasive mechanical ventilation, elevated creatinine and urea at admission were independent risk factors for AKI, whereas clinical diagnosis, invasive mechanical ventilation, increased lactate and urea and hypernatremia were independent risk factors for ICU mortality. The incidence and mortality of AKI in ICU were high in this study, despite the advances that have been emerging in their management.

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The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 18%
Student > Master 10 11%
Student > Postgraduate 8 9%
Student > Doctoral Student 6 7%
Student > Ph. D. Student 6 7%
Other 13 14%
Unknown 32 35%
Readers by discipline Count As %
Medicine and Dentistry 38 41%
Nursing and Health Professions 10 11%
Engineering 3 3%
Social Sciences 2 2%
Linguistics 1 1%
Other 4 4%
Unknown 34 37%