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Renal dysfunction as a predictor of acute stroke outcomes

OBJECTIVES: To explore if renal dysfunction in terms of estimated glomerular filtration rate (eGFR) can be considered a risk factor for stroke outcomes. METHODS: The study population consisted of adults diagnosed with acute stroke admitted to the King Abdulaziz Medical City, Riyadh, Kingdom of Saudi...

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Autores principales: AboAlSamh, Danah K., Abulaban, Ahmad A., Khatri, Ismail A., Al-Khathaami, Ali M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Riyadh : Armed Forces Hospital 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946385/
https://www.ncbi.nlm.nih.gov/pubmed/29057861
http://dx.doi.org/10.17712/nsj.2017.4.20170185
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author AboAlSamh, Danah K.
Abulaban, Ahmad A.
Khatri, Ismail A.
Al-Khathaami, Ali M.
author_facet AboAlSamh, Danah K.
Abulaban, Ahmad A.
Khatri, Ismail A.
Al-Khathaami, Ali M.
author_sort AboAlSamh, Danah K.
collection PubMed
description OBJECTIVES: To explore if renal dysfunction in terms of estimated glomerular filtration rate (eGFR) can be considered a risk factor for stroke outcomes. METHODS: The study population consisted of adults diagnosed with acute stroke admitted to the King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia between 2012 and 2015. Data was collected by chart review. The Modification of Diet in Renal Disease equation was used to estimate GFR. Patients were classified into 2 eGFR categories: eGFR >60 (normal) and eGFR ≤60 (low). RESULTS: A total of 727 patients were studied of whom 596 (82%) had normal eGFR and 131 (18%) had low eGFR. There were more males (68.5%). Ischemic strokes were more prevalent (87.2%). Urinary tract infections were more likely to occur in the low eGFR group (OR=2.047, 95% CI=1.024 – 4.093). They were also significantly more likely to die during admission (OR=3.772, 95% CI=1.609 – 8.844). There was a statistically significant degree of disability reflected by higher mRS (p=0.010) as well as higher post-stroke National Institute of Health Stroke Score scores in the low eGFR group (p=0.011). CONCLUSION: Estimated glomerular filtration rate is a possible predictor of stroke severity, disability and mortality.
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spelling pubmed-59463852018-05-15 Renal dysfunction as a predictor of acute stroke outcomes AboAlSamh, Danah K. Abulaban, Ahmad A. Khatri, Ismail A. Al-Khathaami, Ali M. Neurosciences (Riyadh) Brief Communication OBJECTIVES: To explore if renal dysfunction in terms of estimated glomerular filtration rate (eGFR) can be considered a risk factor for stroke outcomes. METHODS: The study population consisted of adults diagnosed with acute stroke admitted to the King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia between 2012 and 2015. Data was collected by chart review. The Modification of Diet in Renal Disease equation was used to estimate GFR. Patients were classified into 2 eGFR categories: eGFR >60 (normal) and eGFR ≤60 (low). RESULTS: A total of 727 patients were studied of whom 596 (82%) had normal eGFR and 131 (18%) had low eGFR. There were more males (68.5%). Ischemic strokes were more prevalent (87.2%). Urinary tract infections were more likely to occur in the low eGFR group (OR=2.047, 95% CI=1.024 – 4.093). They were also significantly more likely to die during admission (OR=3.772, 95% CI=1.609 – 8.844). There was a statistically significant degree of disability reflected by higher mRS (p=0.010) as well as higher post-stroke National Institute of Health Stroke Score scores in the low eGFR group (p=0.011). CONCLUSION: Estimated glomerular filtration rate is a possible predictor of stroke severity, disability and mortality. Riyadh : Armed Forces Hospital 2017-10 /pmc/articles/PMC5946385/ /pubmed/29057861 http://dx.doi.org/10.17712/nsj.2017.4.20170185 Text en Copyright: © Neurosciences http://creativecommons.org/licenses/by/3.0/ Neurosciences is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work.
spellingShingle Brief Communication
AboAlSamh, Danah K.
Abulaban, Ahmad A.
Khatri, Ismail A.
Al-Khathaami, Ali M.
Renal dysfunction as a predictor of acute stroke outcomes
title Renal dysfunction as a predictor of acute stroke outcomes
title_full Renal dysfunction as a predictor of acute stroke outcomes
title_fullStr Renal dysfunction as a predictor of acute stroke outcomes
title_full_unstemmed Renal dysfunction as a predictor of acute stroke outcomes
title_short Renal dysfunction as a predictor of acute stroke outcomes
title_sort renal dysfunction as a predictor of acute stroke outcomes
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946385/
https://www.ncbi.nlm.nih.gov/pubmed/29057861
http://dx.doi.org/10.17712/nsj.2017.4.20170185
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