Cargando…
Predictive factors for renal failure and a control and treatment algorithm
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 appr...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Escola de Enfermagem de Ribeirão Preto / Universidade de
São Paulo
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4292608/ https://www.ncbi.nlm.nih.gov/pubmed/26107827 http://dx.doi.org/10.1590/0104-1169.3048.2404 |
_version_ | 1782352510787256320 |
---|---|
author | Cerqueira, Denise de Paula Tavares, José Roberto Machado, Regimar Carla |
author_facet | Cerqueira, Denise de Paula Tavares, José Roberto Machado, Regimar Carla |
author_sort | Cerqueira, Denise de Paula |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4292608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Escola de Enfermagem de Ribeirão Preto / Universidade de
São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-42926082015-01-26 Predictive factors for renal failure and a control and treatment algorithm Cerqueira, Denise de Paula Tavares, José Roberto Machado, Regimar Carla Rev Lat Am Enfermagem Original Articles 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. Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2014 /pmc/articles/PMC4292608/ /pubmed/26107827 http://dx.doi.org/10.1590/0104-1169.3048.2404 Text en Copyright © 2014 Revista Latino-Americana de Enfermagem http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC). This license lets others distribute, remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms. |
spellingShingle | Original Articles Cerqueira, Denise de Paula Tavares, José Roberto Machado, Regimar Carla Predictive factors for renal failure and a control and treatment algorithm |
title | Predictive factors for renal failure and a control and treatment
algorithm |
title_full | Predictive factors for renal failure and a control and treatment
algorithm |
title_fullStr | Predictive factors for renal failure and a control and treatment
algorithm |
title_full_unstemmed | Predictive factors for renal failure and a control and treatment
algorithm |
title_short | Predictive factors for renal failure and a control and treatment
algorithm |
title_sort | predictive factors for renal failure and a control and treatment
algorithm |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4292608/ https://www.ncbi.nlm.nih.gov/pubmed/26107827 http://dx.doi.org/10.1590/0104-1169.3048.2404 |
work_keys_str_mv | AT cerqueiradenisedepaula predictivefactorsforrenalfailureandacontrolandtreatmentalgorithm AT tavaresjoseroberto predictivefactorsforrenalfailureandacontrolandtreatmentalgorithm AT machadoregimarcarla predictivefactorsforrenalfailureandacontrolandtreatmentalgorithm |