Cargando…

Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study

BACKGROUND: Diabetic kidney disease is a common and severe microvascular complication of diabetes mellitus (DM). There are limited data regarding alteration of urine parameters other than proteinuria among DM patients. METHODS: Institution based cross-sectional study was conducted from February to M...

Descripción completa

Detalles Bibliográficos
Autores principales: Abebe, Molla, Adane, Tiruneh, Kefyalew, Kassa, Munduno, Tesfahun, Fasil, Alebachew, Biadgo, Belete, Ambachew, Sintayehu, Shahnawaz, Saira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research and Publications Office of Jimma University 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341436/
https://www.ncbi.nlm.nih.gov/pubmed/30700955
http://dx.doi.org/10.4314/ejhs.v29i1.9
_version_ 1783388945516593152
author Abebe, Molla
Adane, Tiruneh
Kefyalew, Kassa
Munduno, Tesfahun
Fasil, Alebachew
Biadgo, Belete
Ambachew, Sintayehu
Shahnawaz, Saira
author_facet Abebe, Molla
Adane, Tiruneh
Kefyalew, Kassa
Munduno, Tesfahun
Fasil, Alebachew
Biadgo, Belete
Ambachew, Sintayehu
Shahnawaz, Saira
author_sort Abebe, Molla
collection PubMed
description BACKGROUND: Diabetic kidney disease is a common and severe microvascular complication of diabetes mellitus (DM). There are limited data regarding alteration of urine parameters other than proteinuria among DM patients. METHODS: Institution based cross-sectional study was conducted from February to May 2017 to assess alteration of urine parameters among DM patients at the University of Gondar Hospital, Northwest Ethiopia. A Systematic random sampling technique was used to recruit adult (≥18 years) diabetic participants. Data were collected after ethical requirements had been fulfilled. The degree of association between variables was evaluated through bivariable and multivariable logistic regression models. RESULTS: The majority (69.4%) of the study participants were type 2 DM patients. The prevalence of altered urine chemical parameters was 11.3% proteinuria, 4.5% ketonuria, 13.6% hematuria, 53.8% glucosuria, 24.9% leukocyturia and 1.7% positive for nitrite. Diastolic blood pressure and poor glycemic control were significantly associated with proteinuria. Male participants were 2.4 times more likely to have leukocyturia than female participants. The prevalence of abnormally increased microscopic findings was red blood cells 3.1%, white blood cells 12.5%, epithelial cells 27.5%, yeast cells 1.7%, bacteria 17.8%, casts 3.7% and crystals 29.2%. CONCLUSIONS: The prevalence of altered urine parameters among DM patients is found to be considerable. These increased prevalences of altered urine parameters are potential indicators for diabetic kidney disease.
format Online
Article
Text
id pubmed-6341436
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Research and Publications Office of Jimma University
record_format MEDLINE/PubMed
spelling pubmed-63414362019-01-30 Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study Abebe, Molla Adane, Tiruneh Kefyalew, Kassa Munduno, Tesfahun Fasil, Alebachew Biadgo, Belete Ambachew, Sintayehu Shahnawaz, Saira Ethiop J Health Sci Original Article BACKGROUND: Diabetic kidney disease is a common and severe microvascular complication of diabetes mellitus (DM). There are limited data regarding alteration of urine parameters other than proteinuria among DM patients. METHODS: Institution based cross-sectional study was conducted from February to May 2017 to assess alteration of urine parameters among DM patients at the University of Gondar Hospital, Northwest Ethiopia. A Systematic random sampling technique was used to recruit adult (≥18 years) diabetic participants. Data were collected after ethical requirements had been fulfilled. The degree of association between variables was evaluated through bivariable and multivariable logistic regression models. RESULTS: The majority (69.4%) of the study participants were type 2 DM patients. The prevalence of altered urine chemical parameters was 11.3% proteinuria, 4.5% ketonuria, 13.6% hematuria, 53.8% glucosuria, 24.9% leukocyturia and 1.7% positive for nitrite. Diastolic blood pressure and poor glycemic control were significantly associated with proteinuria. Male participants were 2.4 times more likely to have leukocyturia than female participants. The prevalence of abnormally increased microscopic findings was red blood cells 3.1%, white blood cells 12.5%, epithelial cells 27.5%, yeast cells 1.7%, bacteria 17.8%, casts 3.7% and crystals 29.2%. CONCLUSIONS: The prevalence of altered urine parameters among DM patients is found to be considerable. These increased prevalences of altered urine parameters are potential indicators for diabetic kidney disease. Research and Publications Office of Jimma University 2019-01 /pmc/articles/PMC6341436/ /pubmed/30700955 http://dx.doi.org/10.4314/ejhs.v29i1.9 Text en © 2019 Mollla Abebe. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Abebe, Molla
Adane, Tiruneh
Kefyalew, Kassa
Munduno, Tesfahun
Fasil, Alebachew
Biadgo, Belete
Ambachew, Sintayehu
Shahnawaz, Saira
Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study
title Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study
title_full Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study
title_fullStr Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study
title_full_unstemmed Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study
title_short Variation of Urine Parameters among Diabetic Patients: A Cross-Sectional Study
title_sort variation of urine parameters among diabetic patients: a cross-sectional study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341436/
https://www.ncbi.nlm.nih.gov/pubmed/30700955
http://dx.doi.org/10.4314/ejhs.v29i1.9
work_keys_str_mv AT abebemolla variationofurineparametersamongdiabeticpatientsacrosssectionalstudy
AT adanetiruneh variationofurineparametersamongdiabeticpatientsacrosssectionalstudy
AT kefyalewkassa variationofurineparametersamongdiabeticpatientsacrosssectionalstudy
AT mundunotesfahun variationofurineparametersamongdiabeticpatientsacrosssectionalstudy
AT fasilalebachew variationofurineparametersamongdiabeticpatientsacrosssectionalstudy
AT biadgobelete variationofurineparametersamongdiabeticpatientsacrosssectionalstudy
AT ambachewsintayehu variationofurineparametersamongdiabeticpatientsacrosssectionalstudy
AT shahnawazsaira variationofurineparametersamongdiabeticpatientsacrosssectionalstudy