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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cerqueira, Denise de Paula, Tavares, José Roberto, Machado, Regimar Carla
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