Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Nov 14;101(20):e1960-e1969.
doi: 10.1212/WNL.0000000000207852. Epub 2023 Sep 29.

Interplay Between Chronic Kidney Disease, Hypertension, and Stroke: Insights From a Multivariable Mendelian Randomization Analysis

Affiliations

Interplay Between Chronic Kidney Disease, Hypertension, and Stroke: Insights From a Multivariable Mendelian Randomization Analysis

Dearbhla M Kelly et al. Neurology. .

Erratum in

  • Corrections to Preprint Server Information.
    [No authors listed] [No authors listed] Neurology. 2024 Jul 9;103(1):e209573. doi: 10.1212/WNL.0000000000209573. Epub 2024 Jun 3. Neurology. 2024. PMID: 38830142 Free PMC article. No abstract available.
  • Corrections to Received Date Information.
    [No authors listed] [No authors listed] Neurology. 2024 Jul 9;103(1):e209596. doi: 10.1212/WNL.0000000000209596. Epub 2024 Jun 3. Neurology. 2024. PMID: 38830175 Free PMC article. No abstract available.

Abstract

Background and objectives: Chronic kidney disease (CKD) increases the risk of stroke, but the extent through which this association is mediated by hypertension is unknown. We leveraged large-scale genetic data to explore causal relationships between CKD, hypertension, and cerebrovascular disease phenotypes.

Methods: We used data from genome-wide association studies of European ancestry to identify genetic proxies for kidney function (CKD diagnosis, estimated glomerular filtration rate [eGFR], and urinary albumin-to-creatinine ratio [UACR]), systolic blood pressure (SBP), and cerebrovascular disease (ischemic stroke and its subtypes and intracerebral hemorrhage). We then conducted univariable, multivariable, and mediation Mendelian randomization (MR) analyses to investigate the effect of kidney function on stroke risk and the proportion of this effect mediated through hypertension.

Results: Univariable MR revealed associations between genetically determined lower eGFR and risk of all stroke (odds ratio [OR] per 1-log decrement in eGFR, 1.77; 95% CI 1.31-2.40; p < 0.001), ischemic stroke (OR 1.81; 95% CI 1.31-2.51; p < 0.001), and most strongly with large artery stroke (LAS) (OR 3.00; 95% CI 1.33-6.75; p = 0.008). These associations remained significant in the multivariable MR analysis, controlling for SBP (OR 1.98; 95% CI 1.39-2.82; p < 0.001 for all stroke; OR 2.16; 95% CI 1.48-3.17; p < 0.001 for ischemic stroke; OR 4.35; 95% CI 1.84-10.27; p = 0.001 for LAS), with only a small proportion of the total effects mediated by SBP (6.5% [0.7%-16.8%], 6.6% [0.8%-18.3%], and 7.2% [0.5%-24.8%], respectively). Total, direct and indirect effect estimates were similar across a number of sensitivity analyses (weighted median, MR-Egger regression).

Discussion: Our results demonstrate an independent causal effect of impaired kidney function, as assessed by decreased eGFR, on stroke risk, particularly LAS, even when controlled for SBP. Targeted prevention of kidney disease could lower atherosclerotic stroke risk independent of hypertension.

PubMed Disclaimer

Conflict of interest statement

D.M. Kelly is an Atlantic Fellow for Equity in Brain Health at the Global Brain Health Institute (GBHI) and is supported with funding from GBHI, Alzheimer's Association, and Alzheimer's Society (GBHI ALZ UK-22-868940) and is the recipient of an NIH StrokeNet Fellowship. M.K. Georgakis is supported by a Walter-Benjamin fellowship from the German Research Foundation (Deutsche Forschungsgemeinschaft [DFG], GZ: GE 3461/1-1) and the FöFoLe program of Ludwig-Maximilians-University Munich (FöFoLe-Forschungsprojekt Reg.-Nr. 1120). This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy: ID 390857198 to MKG). N. Franceschini is supported by NIH R01 HL163972. A. Viswanathan is supported by NIH P50 AG005134 NIH AG047975 R01 NS104130. C.D. Anderson is supported by NIH R01NS103924, U01NS069673, AHA 18SFRN34250007, and AHA-Bugher 21SFRN812095 for this work and receives sponsored research support from Bayer AG and has consulted for ApoPharma, Inc. Go to Neurology.org/N for full disclosures.

Figures

Figure 1
Figure 1. Direct Acyclic Graph to Illustrate Total, Direct, and Indirect Effects of CKD on Stroke Risk
Directed acyclic graphs demonstrating the hypothesized direction for the total effect of CKD on increased odds of stroke (A) and the hypothesized direction for the effect of CKD on increased hypertension (B), which may partially mediate the effect of CKD on stroke risk. CKD = chronic kidney disease.
Figure 2
Figure 2. Univariable and Multivariable Mendelian Randomization Associations Between Genetically Determined Kidney Disease Traits and Cerebrovascular Disease Phenotypes, Controlling for Systolic Blood Pressure
Shown are the results derived from inverse-variance weighted Mendelian randomization analysis. AS = all stroke; CES = cardioembolic stroke; eGFR = estimated glomerular filtration rate; ICH = intracerebral hemorrhage; IS = ischemic stroke; LAS = large artery stroke; OR = odds ratio; SVS = small vessel stroke; UACR = urine albumin-to-creatinine ratio.
Figure 3
Figure 3. Mediation Mendelian Randomization Association Between Genetically Determined Estimated Glomerular Filtration Rate and Large Artery Stroke, Controlling for Systolic Blood Pressure
Directed acyclic graph demonstrating the total, direct, and indirect effects of estimated glomerular filtration rate on large artery stroke risk as well as the proportion of the total effect mediated by systolic blood pressure. Shown are the results derived from inverse-variance weighted Mendelian randomization analysis. eGFR = estimated glomerular filtration rate; SBP = systolic blood pressure.

Similar articles

Cited by

References

    1. Abramson JL, Jurkovitz CT, Vaccarino V, Weintraub WS, McClellan W. Chronic kidney disease, anemia, and incident stroke in a middle-aged, community-based population: the ARIC study. Kidney Int. 2003;64(2):610-615. doi:10.1046/j.1523-1755.2003.00109.x - DOI - PubMed
    1. Murray AM, Seliger S, Lakshminarayan K, Herzog CA, Solid CA. Incidence of stroke before and after dialysis initiation in older patients. J Am Soc Nephrol. 2013;24(7):1166-1173. doi:10.1681/asn.2012080841 - DOI - PMC - PubMed
    1. Masson P, Webster AC, Hong M, Turner R, Lindley RI, Craig JC. Chronic kidney disease and the risk of stroke: a systematic review and meta-analysis. Nephrol Dial Transplant. 2015;30(7):1162-1169. doi:10.1093/ndt/gfv009 - DOI - PubMed
    1. Kelly D, Rothwell PM. Disentangling the multiple links between renal dysfunction and cerebrovascular disease. J Neurol Neurosurg Psychiatry. 2020;91(1):88-97. doi:10.1136/jnnp-2019-320526 - DOI - PMC - PubMed
    1. Toyoda K, Ninomiya T. Stroke and cerebrovascular diseases in patients with chronic kidney disease. Lancet Neurol. 2014;13(8):823-833. doi:10.1016/s1474-4422(14)70026-2 - DOI - PubMed

Publication types

MeSH terms