Predictive factors for renal failure and a control and treatment algorithm

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DOI:

https://doi.org/10.1590/0104-1169.3048.2404

Abstract

OBJECTIVES: to evaluate the renal function of patients in an intensive care unit, to identify the predisposing factors for the development of renal failure, and to develop an algorithm to help in the control of the disease. METHOD: exploratory, descriptive, prospective study with a quantitative approach. RESULTS: a total of 30 patients (75.0%) were diagnosed with kidney failure and the main factors associated with this disease were: advanced age, systemic arterial hypertension, diabetes mellitus, lung diseases, and antibiotic use. Of these, 23 patients (76.6%) showed a reduction in creatinine clearance in the first 24 hours of hospitalization. CONCLUSION: a decline in renal function was observed in a significant number of subjects, therefore, an algorithm was developed with the aim of helping in the control of renal failure in a practical and functional way.

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Published

2014-04-01

Issue

Vol. 22 No. 2 (2014)

Section

Original Articles

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RLAE’s authorship concept is based on the substantial contribution by each of the individuals listed as authors, mainly in terms of conceiving and planning the research project, collecting or analyzing and interpreting data, writing and critical review. Indication of authors’ names under the article title is limited to six. If more, authors are listed on the online submission form under Acknowledgements. The possibility of including more than six authors will only be examined on multicenter studies, considering the explanations presented by the authors.
Including names of authors whose contribution does not fit into the above criteria cannot be justified. Those names can be included in the Acknowledgements section.
 Authors are fully responsible for the concepts disseminated in their manuscripts, which do not necessarily reflect the editors’ and editorial board’s opinion.

 

How to Cite

Cerqueira, D. de P., Tavares, J. R., & Machado, R. C. (2014). Predictive factors for renal failure and a control and treatment algorithm . Revista Latino-Americana De Enfermagem, 22(2), 211-217. https://doi.org/10.1590/0104-1169.3048.2404