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Effect of cardiovascular diseases on the severity of patients with renal failure
University of Skövde, School of Bioscience.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Chronic kidney disease greatly raises cardiovascular disease risk. Heart disease and death risk grow proportionately with renal disease progression. Investigate the link between cardiovascular disease prevalence and chronic renal disease severity and mortality using meta-analysis. In this study, 155 publications were found after searching several databases (including PubMed and Google Scholar). 48 studies that matched the inclusion criteria were included in the literature review, however, only 20 were included in the meta-analysis. 17101 people had CKD, while 8883 had CVD or non-CVD. Using the R programming language, a meta-analysis was performed to get a pooled impact of the influence of CVD on the severity of CKD (odds ratio OR), and a funnel plot was also generated to check for publication bias. The outcomes of the meta-analysis indicate that cardiovascular disease has a moderate impact on the severity of chronic kidney disease (OR=2.28, 95% CI, 1.90-2.73). All data will give essential insights into the epidemiology of the cardiovascular disease in chronic kidney disease (CKD), disclose the influence of individual risk variables on bad outcomes, and serve as the platform for future interventional research. Further investigation of the particular (non-traditional) risk factors associated with the renal illness that contribute to accelerated atherosclerosis in this population is necessary to improve the efficacy of cardiovascular treatments for patients with CKD. The purpose of this research is to determine whether and how these variables affect the development of CKD.

Place, publisher, year, edition, pages
2023. , p. 19
Keywords [en]
Chronic Kidney Disease, Cardiovascular disease, Meta-analysis, Odds ratio
National Category
Medical Bioscience
Identifiers
URN: urn:nbn:se:his:diva-22412OAI: oai:DiVA.org:his-22412DiVA, id: diva2:1751110
Subject / course
Bioscience
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Available from: 2023-04-17 Created: 2023-04-17 Last updated: 2023-04-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
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Output format
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