ArticleNeurosciences (Riyadh, Saudi Arabia)2017
Renal dysfunction as a predictor of acute stroke outcomes.
Article in Neurosciences (Riyadh, Saudi Arabia), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Article
- Machine learning to predict mortality after rehabilitation among patients with severe stroke.Scientific reports · 2020Article
- Sex Differences in Long-Term Mortality and Functional Outcome After Rehabilitation in Patients With Severe Stroke.Frontiers in neurology · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore if renal dysfunction in terms of estimated glomerular filtration rate (eGFR) can be considered a risk factor for stroke outcomes.
methodsThe 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 more than 60 (normal) and eGFR less than or equal 60 (low).
resultsA 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).
conclusionEstimated glomerular filtration rate is a possible predictor of stroke severity, disability and mortality.
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