Next Article in Journal
Multi-Faceted Role of Cancer-Associated Adipocytes in Colorectal Cancer
Next Article in Special Issue
Obesity-Related Kidney Disease: Current Understanding and Future Perspectives
Previous Article in Journal
Research on the Quality of Partially Removable Skeletal Prostheses Made Using Classical Versus Modern Sintering Techniques
Previous Article in Special Issue
Differences in the Profile of Circulating Immune Cell Subsets in Males with Type 2 Cardiorenal Syndrome versus CKD Patients without Established Cardiovascular Disease
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Epidemiology and Risk Factors for Stroke in Chronic Kidney Disease: A Narrative Review

by
Christodoula Kourtidou
1 and
Konstantinos Tziomalos
2,*
1
Department of Nephrology, Medical School, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
2
First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Biomedicines 2023, 11(9), 2398; https://doi.org/10.3390/biomedicines11092398
Submission received: 29 July 2023 / Revised: 21 August 2023 / Accepted: 24 August 2023 / Published: 27 August 2023
(This article belongs to the Special Issue Pathophysiology of Chronic Kidney Disease and Its Complications)

Abstract

:
Patients with chronic kidney disease (CKD) have a higher risk ofboth ischemic and hemorrhagic stroke. This association appears to be partly independent from the higher prevalence of established risk factors for stroke in patients with CKD, including hypertension and atrial fibrillation. In the present review we aim to discuss the impact of CKD on the risk of stroke and stroke-related consequences, and explore the pathophysiology underpinning the increased risk of stroke in patients with CKD. We cover the clinical association between renal dysfunction and cerebrovascular disease including stroke, silent brain infarct, cerebral small vessel disease, microbleeds, and white matter hyperintensity, and discuss the underlying mechanisms.

1. Introduction

Globally, the all-age mortality rate from chronic kidney disease (CKD) increased by 41.5% and the all-age prevalence of CKD increased by 29.3% between 1990 and 2017 [1]. In people without previously known cardiovascular disease (CVD) or diabetes mellitus (DM), mild to moderate kidney dysfunction is associated with an increased risk ofCVD [2].
Stroke remains a leading cause of death and disability worldwide [3]. In the general population, established risk factors for stroke are atrial fibrillation (AF), hypercholesterolemia, hypertension and carotid artery stenosis [4]. The importance of primary prevention of stroke focuses on treating the causative and associated risk factors [4].
In the current review we aim to discuss the impact of CKD on the risk of stroke and stroke-related consequences, and explore the pathophysiology underpinning the increased risk of stroke in patients with CKD. We will cover the clinical association between renal dysfunction and cerebrovascular disease including stroke, silent brain infarction, cerebral small vessel disease, microbleeds, and white matter hyperintensity, and discuss the underlying mechanisms.

2. CKD and Stroke Epidemiology

CKD is perceived to contribute to the development of stroke independently of traditional cardiovascular risk factors [5]. In 20,386 participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, the incidence of stroke symptoms was 20.7% for estimated glomerular filtration rate (eGFR) < 45 mL/min per 1.73 m2 (hazard ratio (HR) 1.26) and 18.8% for albumin–creatinine ratios > 300 mg/g (HR 1.29, p = 0.005 for trend) during a 2-year follow-up [6]. Of particular note, in a meta-analysis of 63 cohort studies and 20 randomized controlled trials (RCT), the risk of stroke increased by 7% for every 10 mL/min/1.73 m2 decline in eGFR and by 10% per 25 mg/mmol increase in the albumin–creatinine ratio independently of GFR [7]. In a meta-analysis of 38 studies, proteinuria was associated with stroke risk independently of established cardiovascular risk factors [8]. In an observational study, most stroke cases were ischemic among non-dialysis-dependent CKD, but hemorrhagic stroke had approximately the same incidence as ischemic stroke in CKD patients undergoing dialysis [9]. In contrast, the Choices for Healthy Outcomes in Caring for End-Stage Renal Disease (CHOICE) study reported that ischemic stroke represented the most common type in incident dialysis patients [10]. Moreover, the data regarding the rates of different types of stroke between hemodialysis (HD) and peritoneal dialysis patients are conflicting [11,12].
Silent brain infarction is a frequent finding in elderly subjects [13]. In CKD patients, the lower the eGFR, the higher the prevalence of silent brain infarction [age-adjusted odds ratio (95% confidence interval) for eGFR 30–59, 15–29 and <15 versus ≥60 mL/min/1.73 m2 1.34 (0.68–1.99), 1.94 (1.30–2.57) and 2.51 (1.91–3.10)] [14]. Similar findings were observed in other studies that evaluated the association between eGFR and the prevalence of silent brain infarction [15,16,17]. Moreover, albuminuria appears to increase the risk of silent brain infarction in patients with type 2 DM [18]. Patients on maintenance hemodialysis are also at increased risk of silent ischemic stroke [19].
In patients who suffer an acute ischemic stroke, reduced renal function at admission is associated with more severe stroke and higher mortality rates during short-term and long-term follow-up [20,21,22,23]. Acute ischemic stroke-related morbidity and mortality are also higher in dialysis patients [24]. Moreover, patients with CKD who experience intracerebral hemorrhage have increased rates of mortality and worse functional outcomes compared with patients without CKD [25,26]. Additionally, decreased eGFR and proteinuria are associated with poor functional outcomes in patients with ischemic stroke [23,27].Stroke patients with underlying CKD had longer hospital stays and more recurrent hospitalizations than controls without underlying CKD [28]. CKD was a significant predictor of worse functional outcomes and mortality in stroke patients treated with endovascular thrombectomy [29]. Among patients with acute ischemic stroke treated with thrombolysis, CKD was associated with greater disability, higher mortality, and increased bleeding risk compared with patients with intact kidney function [30,31]. Several studies reported the correlation between increased risk of recurrent stroke and declining eGFR levels in patients with acute ischemic stroke [32,33].

3. Stroke Subtypes and Cerebral Pathology in Patients with CKD: Stroke, White Matter Lesions, Silent Brain Infarct, and Microbleeds

3.1. Brain and Kidney Vasculature

The brain and kidneys are composed of low vascular resistance systems that allow continuous high-volume perfusion [34,35]. Other shared characteristics of the kidneys and brain are autoregulation of perfusion pressure, small vessel damage by cardiovascular risk factors, and the fact that the relatively short arterioles of the kidneys and brain are particularly susceptible to blood pressure fluctuations [35]. Both the glomerular juxtamedullary afferent arterioles and the cerebral perforating arteries are small and short vessels arising from large, high-pressure vessels and are exposed to high pressure that results in hypertensive vascular damage [36,37]. Equivalent to the kidney vessels, the structural damage of the cerebral vessels ranges from hyaline thickening to lipohyalinosis [35,38]. Impaired kidney function is associated with less effective dynamic cerebral autoregulation in acute ischemic stroke [39]. In patients with recent stroke, the presence of CKD is an independent determinant of increased intracranial vascular resistance in both the anterior and posterior cerebral circulation [40]. Cerebral blood flow also appears to be associated with the severity of CKD [41]. In non-diabetic hypertensive patients, reduced eGFR was associated with higher cerebral blood flow [42]. In contrast, in the Rotterdam study, lower eGFR correlated with lower cerebral blood flow [43].

3.2. Cerebral Small Vessel Disease, White Matter Lesions, and Microbleeds in CKD

Cerebral smallvessel disease (CSVD), a group of pathological processes with various etiologies that affect the small vascular system of the brain, is an important cause and risk factor for stroke [44]. Findings from a meta-analysis of 32 studies supported the fact that the presence of CSVD features on imaging was associated with worse renal function [45]. Additionally, the urinary albumin–creatinine ratio was associated with CSVD [46,47]. Worse kidney function is associated with CSVD [48,49]. Endothelial dysfunction has been suggested to represent a potential driver in CSVD [50,51,52]. Furthermore, CSVD has been attributed to altered cerebral hemodynamics [53,54].
White matter hyperintensities predict an increased risk of stroke and adverse outcome [55]. Studies have associated eGFR of 15 to 60 mL/min and albuminuria with increased white matter hyperintensity volume [56,57].
Microalbuminuria is associated with the presence of microbleeds in hypertensive patients [58]. The incidence of microbleeds was greater in patients on hemodialysis, and the association was not modified by the presence of hypertension [59]. The occurrence of cerebral microbleeds predisposed to intracerebral hemorrhage in stroke-free hemodialysis patients [60]. In non-CKD patients, cerebral microbleeds predispose them to hemorrhagic and ischemic stroke [61,62]. In vitro studies have suggested that elevated levels of urea alter the actin cytoskeleton and tight junction proteins in cultured endothelial cells, implying that these mechanisms are involved in the development of microhemorrhages and microbleeds [63].

4. Atrial Fibrillation and Stroke in CKD

Atrial fibrillation (AF) is an established risk factor for stroke [64]. Studies have demonstrated a much higher than previously suspected incidence of occult AF among patients with stroke [65,66].There is a positive relationship between AF and CKD regarding ischemic stroke risk [67,68]. A meta-analysis of 25 studies demonstrated that the prevalence of AF was 11.6% and the overall incidence was 2.7/100 patient-years in end stage renal disease (ESRD) patients [69]. Another large study found that the incidence rates of AF were 12.1, 7.3, and 5.0 per 1000 person-years in ESRD, CKD, and non-CKD patients, respectively [70]. In a study from China, AF was associated with a two-fold increased risk of ischemic stroke and a 325% increased risk of hemorrhagic stroke in patients with CKD [71]. Data from the international Dialysis Outcomes and Practice Patterns Study (DOPPS) showed that AF at study enrollment was positively associated with all-cause mortality and stroke [72]. The Stockholm CREAtinine Measurements (SCREAM) Project confirmed that AF was associated with a two-fold higher risk of stroke (both ischemic and hemorrhagic) in patients with CKD, and the stroke risk remained similar across all eGFR groups [73]. In a large prospective study, decreased eGFR (<45 mL/min per 1.73 m2) correlated with all-cause mortality, stroke recurrence, and greater disability in diabetic and non-diabetic patients with acute stroke followedup for 1 year [74]. In a nationwide prospective study in a Chinese population, the associations between low eGFR and risk of recurrent stroke, death, and poor functional outcome in stroke patients with AF were stronger than in those without AF [75].
AF and CKD have a bidirectional relationship, with the presence of CKD increasing the risk of incident AF and the presence of AF accelerating the development and progression of CKD [76,77]. The proposed underlying mechanisms of CKD and AF interaction are activation of the renin-angiotensin-aldosterone system (RAAS), uremic toxins, inflammation, myocardial remodeling and fibrosis, and dysregulated calcium homeostasis [76,78,79]. Up-regulation of the RAAS is involved in cardiac remodeling and may exert direct electrophysiological effects [80].
Regarding the management of AF in patients with CKD, a recent meta-analysis of 19 studies (n = 124,628) showed that direct oral anticoagulants (DOACs) reduced both the risk of stroke and major bleeding more than warfarin [81]. Among DOACs, apixaban was the safest and most effective in this population [81]. Another meta-analysis of eight RCTs and 46 observational studies reached similar conclusions and also reported that both DOACs and warfarin increase the risk of bleeding in patients on dialysis without reducing the risk of stroke versus no anticoagulation [82].

5. Prothrombotic State and Stroke in CKD

Non-paroxysmal AF and reduced GFR might predispose to the development of left atrium thrombus found on transesophageal echocardiography [83,84]. The pathogenetic mechanisms of thrombosis in these patients include platelet activation as well as the effects of uremic toxins on platelets [85,86,87,88]. However, platelet dysfunction is a key factor responsible for hemorrhagic complications in advanced kidney disease [85,89]. Multiple studies have shown that defects in fibrin formation and fibrinolysis serve as thrombogenic factors in CKD (Table 1) [90,91,92].

6. Hypertension and Stroke in CKD

Hypertension is a highly prevalent comorbidity in CKD patients [93,94]. In a meta-analysis of 85 studies, long-term blood pressure burden mediated the CKD and stroke risk association [95]. In a cohort study, hypertensive patients with incident CKD had a 10-year probability of 13.3% to present with stroke during a 13-year follow-up period [96]. Among patients with incident eGFR < 60 mL/min/1.73 m2, the risk of incident stroke was greater, as systolic blood pressure (SBP) rose in patients aged < 80 years, but the association was not present in younger patients [97]. However, compared with patients with a time-averaged on-treatment SBP of 135–140 mmHg, the incidence of first stroke (1.7 vs. 3.3%, HR 0.51, 95% CI 0.26–0.99) and ischemic stroke (1.3 vs. 2.8%, HR 0.46, 95% CI 0.22–0.98) decreased in those with a time-averaged SBP of ≤135 mmHg in hypertensive patients with eGFR 30–60 mL/min/1.73 m2 and/or proteinuria [98].
Visit-to-visit variability of BP is associated with CVD and mortality [99,100]. There was a positive relationship between visit-to-visit SBP variability with the risk of subsequent first stroke (odds ratio per SD increment 1.41, 95% CI: 1.17–1.69) and first ischemic stroke in CKD patients [101], and higher visit-to-visit variability of BP was independently associated with higher rates of hemorrhagic stroke (HR 1.91, 95% CI 1.36–2.68) in patients with moderate to advanced CKD not yet on dialysis [102]. Furthermore, blood pressure variability was associated with early neurological deterioration in minor ischemic stroke patients with renal impairment compared with patients with normal renal function [103].

7. Dyslipidemia and Stroke in CKD

Patients with CKD are characterized by a specific lipid profile termed “uremic dyslipidemia”, which corresponds to nearly normal low-density lipoprotein cholesterol (LDL-C), low high-density lipoprotein cholesterol (HDL-C), and high triglyceride levels [104]. During a 3-year follow-up in patients with stage 3 CKD receiving statin treatment, the group with LDL-C levels between 70 and 100 mg/dL exhibited lower risk of ischemic stroke and intracerebral hemorrhage compared with patients with LDL-C levels ≥ 100 mg/dL. In contrast, compared with patients with LDL-C levels ≥ 100 mg/dL, those with LDL-C levels < 70 mg/dL had lower risk of ischemic stroke but no difference in intracerebral hemorrhage [105].Compared with non-CKD patients in the lowest LDL-C quartile, the multivariable-adjusted risk of severe stroke increased 2.9-fold (95% CI 1.48–5.74) in patients with CKD in the highest LDL-C quartile [106]. A meta-analysis demonstrated that as eGFR declines, there is a trend for smaller relative risk reduction for major coronary events and stroke with statin therapy, even after adjusting for smaller reductions in LDL-C levels in patients with more advanced CKD [107]. In a meta-analysis of six RCTs with 10,993 patients with CKD, the stroke rate was reduced in the high-intensity statin therapy group [108]. As the CKD stage deteriorates, statins appear to have no effect on ischemic and hemorrhagic stroke [109]. Uremia leads to several modifications of the structure of HDL, which has an adverse effect on its functionality [110].

8. Carotid Atherosclerosis and Stroke in CKD

In observational studies, deterioration in renal function was independently associated with increased carotid intima-media thickness (cIMT) [111,112]. cIMT and eGFR were inversely correlated in patients with stroke, whilemean cIMT, plaque size, and internal carotid artery stenosis were associated with symptomatic ischemic stroke [113]. Furthermore, decreased kidney function was associated with a faster increase in carotid cIMT [114]. Similar findings were observed in a 4-year study that reported an increase in cIMT with decreasing eGFR in CKD patients [115]. However, proteinuria and eGFR were associated with cIMT but not with the presence of calcified plaque in patients with mild or moderate CKD [116]. Moreover, eGFR was negatively correlated with the degree of carotid stenosis (r = 0.03; p < 0.05) in patients with acute stroke [117]. In contrast, another study did not demonstrate a difference in carotid atherosclerosis between CKD and healthy individuals [118]. It has been suggested that atherosclerosis is associated with increased levels of endotoxin and inflammatory markers [119,120,121]. The atheromatous lesions of CKD patients were also more frequently unstable or ruptured more often compared with patients without CKD [122,123].

9. Uremic Toxins and Stroke in CKD

Uremic toxins can induce a number of cardiac and vascular abnormalities, including cardiac fibrosis, atherosclerosis, thrombosis, vascular calcification, and microvascular rarefaction, which lead to stroke and other CVD complications [124]. Patients with CKD are exposed to systemically derived toxins such as asymmetric dimethylarginine (ADMA), homocysteine, thiocyanate, tumor-necrosis factor α, and interleukin 6 [125]. CKD and uremic toxins potentiate cerebral tissue activation through inflammatory and oxidative pathways, inhibition of antioxidant and cytoprotective systems, and erosion of cerebral capillary junctional complex—events that contribute to central nervous system dysfunction and impaired blood–brain barrier [126,127,128,129]. It has been suggested that disruptions of the blood–brain barrier and edema formation both participate in the development of neurological dysfunction in acute and chronic cerebral ischemia [130].

10. Anemia, Erythropoietin Stimulating Agents, and Stroke in CKD

In a meta-analysis of 24 RCTs, in the high hemoglobin target vs. low hemoglobin target trials, there was a higher risk of stroke in the high hemoglobin target groups both in non-dialysis and dialysis CKD patients [131]. However, in another meta-analysis of 13 RCTs in predialysis CKD patients, no significant difference was found in stroke rates between the higher hemoglobin group and the lower [132]. Moreover, despite an association between low hemoglobin concentrations and a high risk of hemorrhagic stroke, no correlation with ischemic stroke was found in patients undergoing hemodialysis [133]. A higher erythropoietin resistance was associated with an increased risk of brain hemorrhage, but not with brain infarction, in patients receiving maintenance hemodialysis [134]. In a large national sample of anemic patients with CKD, treatment with erythropoietin-stimulating agents was associated with an increased risk of acute stroke [135]. On the contrary, increased risks of stroke and its subtypes were not reported with even large annual defined daily doses of erythropoietin in CKD [136]. Current guidelines suggest caution when initiating erythropoietin-stimulating agents in CKD patients with high risk of stroke [137].

11. Hyperphosphatemia and Stroke in CKD

Dysregulation of calcium and phosphate metabolism is common in CKD patients, and results in vascular calcification [136]. In an attempt to explain the phenomenon of vascular calcification under hyperphosphatemic conditions, several studies showed that elevated serum phosphate levels directly drive vascular smooth muscle cells to undergo phenotypic changes that predispose to calcification [137,138,139]. An observational study demonstrated that phosphate levels are associated with the coexistence of subclinical atheromatosis in non-dialysis CKD patients [140]. Notably, even phosphate levels within the normal range were associated with an increased risk of subclinical atheromatosis in men, whereas in women this risk only increased with serum levels above the upper limit of normal [140]. Data from the NEFRONA study suggested that the presence of atheromatic plaque was associated with high phosphate levels in stage 4–5 CKD but there was a U-shaped association in patients on dialysis [141]. Higher serum phosphate levels were associated with an increased risk of brain hemorrhage, whereas low levels were associated with an increased risk of brain infarction in hemodialysis patients followed-up for a median of 3.9 years [142]. In a small observational study, patients undergoing dialysis with serum phosphate levels < 4.5 mg/dL had a 3.40-fold higher risk of ischemic stroke in comparison with patients with average serum phosphate levels ≥ 4.5 mg/dL [143]. However, other studies did not show an association between phosphate levels and risk of ischemic and hemorrhagic stroke in hemodialysis patients [144,145]. Apart from phosphorus, biomolecules involved in mineral bone disease such as fibroblast growth factor-23 and klotho are associated with the incidence of stroke [146,147].

12. Dialysis and Stroke

Patients undergoing dialysis have an increased risk of stroke [148]. In incident hemodialysis patients, stroke rates rose within a month and gradually stabilized at approximately twice the baseline rate at 1 year after initiation of dialysis [11]. Stroke also appears to be more common after the long (three-day) interdialytic interval, when fluid and electrolyte abnormalities are at their peak [149]. During dialysis, every 10 mmHg drop from baseline in mean BP is associated with a 3% rise in cerebral ischemia (p < 0.001), and the incidence of ischemic events increased rapidly below an absolute mean BP of 60 mmHg [150]. There is also an association between a higher ultrafiltration volume and lower intradialytic cerebral blood flow [151]. Apart from the circulatory stress of dialysis in combination with ultrafiltration that result in recurrent ischemic brain injury, repetitive dialysis-induced cardiac injury might also impair the regulation of cerebral perfusion [152,153].

13. Conclusions

It appears that patients with CKD are at high risk of stroke. This association is stronger in advanced CKD and in the presence of proteinuria. The association between CKD and stroke is a result of both traditional and renal disease-specific risk factors. This is the major strength of the present review, i.e., that it provides a detailed discussion of most stroke risk factors in this population. However, a limitation of the review is that it does not cover the management of these risk factors in patients with CKD. Further studies are needed to clarify the underlying mechanisms of this relationship, which in turn might help identify novel therapeutic targets and reduce stroke-related disability and mortality.

Author Contributions

C.K.; writing—original draft preparation, K.T.; writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bikbov, B.; Purcell, C.A.; Levey, A.S.; Smith, M.; Abdoli, A.; Abebe, M.; Adebayo, O.M.; Afarideh, M.; Agarwal, S.K.; Agudelo-Botero, M.; et al. Global, regional, and national burden of chronic kidney disease, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2020, 395, 709–733. [Google Scholar] [CrossRef] [PubMed]
  2. Gaziano, L.; Sun, L.; Arnold, M.; Bell, S.; Cho, K.; Kaptoge, S.K.; Song, R.J.; Burgess, S.; Posner, D.C.; Mosconi, K.; et al. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses. Circulation 2022, 146, 1507–1517. [Google Scholar] [CrossRef]
  3. Feigin, V.L.; Forouzanfar, M.H.; Krishnamurthi, R.; Mensah, G.A.; Connor, M.; Bennett, D.A.; Moran, A.E.; Sacco, R.L.; Anderson, L.; Truelsen, T.; et al. Global and regional burden of stroke during 1990–2010: Findings from the Global Burden of Disease Study 2010. Lancet 2014, 383, 245–254. [Google Scholar] [CrossRef]
  4. Hankey, G.J. Stroke. Lancet 2017, 389, 641–654. [Google Scholar] [CrossRef]
  5. Chen, Y.-C.; Su, Y.-C.; Lee, C.-C.; Huang, Y.-S.; Hwang, S.-J. Chronic Kidney Disease Itself Is a Causal Risk Factor for Stroke beyond Traditional Cardiovascular Risk Factors: A Nationwide Cohort Study in Taiwan. PLoS ONE 2012, 7, e36332. [Google Scholar] [CrossRef]
  6. Muntner, P.; Judd, S.E.; McClellan, W.; Meschia, J.F.; Warnock, D.G.; Howard, V.J. Incidence of stroke symptoms among adults with chronic kidney disease: Results from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Nephrol. Dial. Transplant. 2012, 27, 166–173. [Google Scholar] [CrossRef] [PubMed]
  7. Masson, P.; Webster, A.C.; Hong, M.; Turner, R.; Lindley, R.I.; Craig, J.C. Chronic kidney disease and the risk of stroke: A systematic review and meta-analysis. Nephrol. Dial. Transplant. 2015, 30, 1162–1169. [Google Scholar] [CrossRef] [PubMed]
  8. Kelly, D.M.; Rothwell, P.M. Proteinuria as an independent predictor of stroke: Systematic review and meta-analysis. Int. J. Stroke 2020, 15, 29–38. [Google Scholar] [CrossRef]
  9. Wakasugi, M.; Yokoseki, A.; Wada, M.; Sanpei, K.; Momotsu, T.; Sato, K.; Kawashima, H.; Nakamura, K.; Onodera, O.; Narita, I. Stroke incidence and chronic kidney disease: A hospital-based prospective cohort study. Nephrology 2022, 27, 577–587. [Google Scholar] [CrossRef]
  10. Sozio, S.M.; Armstrong, P.A.; Coresh, J.; Jaar, B.G.; Fink, N.E.; Plantinga, L.C.; Powe, N.R.; Parekh, R.S. Cerebrovascular Disease Incidence, Characteristics, and Outcomes in Patients Initiating Dialysis: The Choices for Healthy Outcomes in Caring for ESRD (CHOICE) Study. Am. J. Kidney Dis. 2009, 54, 468–477. [Google Scholar] [CrossRef]
  11. Wang, H.-H.; Hung, S.-Y.; Sung, J.-M.; Hung, K.-Y.; Wang, J.-D. Risk of Stroke in Long-term Dialysis Patients Compared with the General Population. Am. J. Kidney Dis. 2014, 63, 604–611. [Google Scholar] [CrossRef] [PubMed]
  12. Fu, J.; Huang, J.; Lei, M.; Luo, Z.; Zhong, X.; Huang, Y.; Zhang, H.; Liu, R.; Tong, J.; He, F. Prevalence and Impact on Stroke in Patients Receiving Maintenance Hemodialysis versus Peritoneal Dialysis: A Prospective Observational Study. PLoS ONE 2015, 10, e0140887. [Google Scholar] [CrossRef]
  13. Fanning, J.P.; A Wong, A.; Fraser, J.F. The epidemiology of silent brain infarction: A systematic review of population-based cohorts. BMC Med. 2014, 12, 119. [Google Scholar] [CrossRef] [PubMed]
  14. Kobayashi, M.; Hirawa, N.; Yatsu, K.; Kobayashi, Y.; Yamamoto, Y.; Saka, S.; Andoh, D.; Toya, Y.; Yasuda, G.; Umemura, S. Relationship between silent brain infarction and chronic kidney disease. Nephrol. Dial. Transplant. 2009, 24, 201–207. [Google Scholar] [CrossRef]
  15. Liu, Y.; Lv, P.; Jin, H.; Cui, W.; Niu, C.; Zhao, M.; Fan, C.; Teng, Y.; Pan, B.; Peng, Q.; et al. Association between Low Estimated Glomerular Filtration Rate and Risk of Cerebral Small-Vessel Diseases: A Meta-Analysis. J. Stroke Cerebrovasc. Dis. 2016, 25, 710–716. [Google Scholar] [CrossRef] [PubMed]
  16. Kim, S.H.; Shin, D.W.; Yun, J.M.; Lee, J.E.; Lim, J.-S.; Cho, B.L.; Kwon, H.-M.; Park, J.-H. Kidney dysfunction and silent brain infarction in generally healthy adults. J. Neurol. Sci. 2017, 379, 89–93. [Google Scholar] [CrossRef]
  17. Chou, C.C.; Lien, L.M.; Chen, W.H.; Wu, M.S.; Lin, S.M.; Chiu, H.C.; Chiou, H.Y.; Bai, C.H. Adults with late stage 3 chronic kidney disease are at high risk for prevalent silent brain infarction: A population-based study. Stroke 2011, 42, 2120–2125. [Google Scholar] [CrossRef]
  18. Bouchi, R.; Babazono, T.; Yoshida, N.; Nyumura, I.; Toya, K.; Hayashi, T.; Hanai, K.; Tanaka, N.; Ishii, A.; Iwamoto, Y. Relationship between chronic kidney disease and silent cerebral infarction in patients with Type 2 diabetes. Diabet. Med. 2010, 27, 538–543. [Google Scholar] [CrossRef]
  19. Nakatani, T.; Naganuma, T.; Uchida, J.; Masuda, C.; Wada, S.; Sugimura, T.; Sugimura, K. Silent Cerebral Infarction in Hemodialysis Patients. Am. J. Nephrol. 2003, 23, 86–90. [Google Scholar] [CrossRef]
  20. ElHusseini, N.; Fonarow, G.C.; Smith, E.E.; Ju, C.; Schwamm, L.H.; Hernandez, A.F.; Schulte, P.J.; Xian, Y.; Goldstein, L.B. Renal Dysfunction Is Associated with Poststroke Discharge Disposition and In-Hospital Mortality: Findings from Get with the Guidelines-Stroke. Stroke 2017, 48, 327–334. [Google Scholar] [CrossRef]
  21. Tziomalos, K.; Georgaraki, M.; Bouziana, S.D.; Spanou, M.; Kostaki, S.; Angelopoulou, S.-M.; Papadopoulou, M.; Christou, K.; Savopoulos, C.; I Hatzitolios, A. Impaired kidney function evaluated with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation is associated with more severe acute ischemic stroke. Vasc. Med. 2017, 22, 432–434. [Google Scholar] [CrossRef] [PubMed]
  22. Wang, I.K.; Liu, C.H.; Yen, T.H.; Jeng, J.S.; Sung, S.F.; Huang, P.H.; Li, J.Y.; Sun, Y.; Wei, C.Y.; Lien, L.M.; et al. Renal function is associated with 1-month and 1-year mortality in patients with ischemic stroke. Atherosclerosis 2018, 269, 288–293. [Google Scholar] [CrossRef]
  23. Hayden, D.; McCarthy, C.; Akijian, L.; Callaly, E.; NíChróinín, D.; Horgan, G.; Kyne, L.; Duggan, J.; Dolan, E.; O’Rourke, K.; et al. Renal dysfunction and chronic kidney disease in ischemic stroke and transient ischemic attack: A population-based study. Int. J. Stroke 2017, 12, 761–769. [Google Scholar] [CrossRef] [PubMed]
  24. Alqahtani, F.; Berzingi, C.O.; Aljohani, S.; Al Hajji, M.; Diab, A.; Alvi, M.; Boobes, K.; Alkhouli, M. Temporal Trends in the Outcomes of Dialysis Patients Admitted with Acute Ischemic Stroke. J. Am. Heart Assoc. 2018, 7, e008686. [Google Scholar] [CrossRef] [PubMed]
  25. Beuscher, V.D.; Sprügel, M.I.; Gerner, S.T.; Sembill, J.A.; Madzar, D.; Reindl, C.; Lücking, H.; Lang, S.; Hoelter, P.; Kuramatsu, J.B.; et al. Chronic Kidney Disease and Clinical Outcomes in Patients with Intracerebral Hemorrhage. J. Stroke Cerebrovasc. Dis. 2020, 29, 104802. [Google Scholar] [CrossRef] [PubMed]
  26. Wang, I.-K.; Yen, T.-H.; Tsai, C.-H.; Sun, Y.; Chang, W.-L.; Chen, P.-L.; Lai, T.-C.; Yeh, P.-Y.; Wei, C.-Y.; Lin, C.-L.; et al. Renal function is associated with one-month and one-year mortality in patients with intracerebral hemorrhage. PLoS ONE 2023, 18, e0269096. [Google Scholar] [CrossRef] [PubMed]
  27. Miwa, K.; Koga, M.; Nakai, M.; Yoshimura, S.; Sasahara, Y.; Koge, J.; Sonoda, K.; Ishigami, A.; Iwanaga, Y.; Miyamoto, Y.; et al. Etiology and Outcome of Ischemic Stroke in Patients with Renal Impairment Including Chronic Kidney Disease: Japan Stroke Data Bank. Neurology 2022, 98, e1738–e1747. [Google Scholar] [CrossRef] [PubMed]
  28. Pande, S.D.; Morris, J. Influence of chronic kidney disease and haemodialysis on stroke outcome. Singap. Med. J. 2021, 62, 594–598. [Google Scholar] [CrossRef] [PubMed]
  29. Sutherland, L.J.; Diprose, W.K.; Wang, M.T.M.; Barber, P.A. Chronic Kidney Disease and Outcome Following Endovascular Thrombectomy for Acute Ischemic Stroke. J. Stroke Cerebrovasc. Dis. 2020, 29, 104665. [Google Scholar] [CrossRef]
  30. Zamberg, I.; Assouline-Reinmann, M.; Carrera, E.; Sood, M.M.; Sozio, S.M.; Martin, P.Y.; Mavrakanas, T.A. Epidemiology, thrombolytic management, and outcomes of acute stroke among patients with chronic kidney disease: A systematic review and meta-analysis. Nephrol. Dial. Transplant. 2022, 37, 1289–1301. [Google Scholar] [CrossRef] [PubMed]
  31. Jung, J.M.; Kim, H.J.; Ahn, H.; Ahn, I.M.; Do, Y.; Choi, J.Y.; Seo, W.K.; Oh, K.; Cho, K.H.; Yu, S. Chronic kidney disease and intravenous thrombolysis in acute stroke: A systematic review and meta-analysis. J. Neurol. Sci. 2015, 358, 345–350. [Google Scholar] [CrossRef] [PubMed]
  32. Wang, I.K.; Lien, L.M.; Lee, J.T.; Liu, C.H.; Chen, C.H.; Lin, C.H.; Jeng, J.S.; Hu, C.J.; Yen, T.H.; Chen, S.T.; et al. Renal dysfunction increases the risk of recurrent stroke in patients with acute ischemic stroke. Atherosclerosis 2018, 277, 15–20. [Google Scholar] [CrossRef] [PubMed]
  33. Agarwal, A.; Cheung, A.K.; Ma, J.; Cho, M.; Li, M. Effect of Baseline Kidney Function on the Risk of Recurrent Stroke and on Effects of Intensive Blood Pressure Control in Patients with Previous Lacunar Stroke: A Post Hoc Analysis of the SPS3 Trial (Secondary Prevention of Small Subcortical Strokes). J. Am. Heart Assoc. 2019, 8, e013098. [Google Scholar] [CrossRef] [PubMed]
  34. O’Rourke, M.F.; Safar, M.E. Relationship between aortic stiffening and microvascular disease in brain and kidney: Cause and logic of therapy. Hypertension 2005, 46, 200–204. [Google Scholar] [CrossRef] [PubMed]
  35. Lau, W.L.; Huisa, B.N.; Fisher, M. The Cerebrovascular-Chronic Kidney Disease Connection: Perspectives and Mechanisms. Transl. Stroke Res. 2017, 8, 67–76. [Google Scholar] [CrossRef] [PubMed]
  36. Toyoda, K. Cerebral small vessel disease and chronic kidney disease. J. Stroke 2015, 17, 31–37. [Google Scholar] [CrossRef]
  37. Ito, S.; Nagasawa, T.; Abe, M.; Mori, T. Strain vessel hypothesis: A viewpoint for linkage of albuminuria and cerebro-cardiovascular risk. Hypertens. Res. 2009, 32, 115–121. [Google Scholar] [CrossRef] [PubMed]
  38. Bernbaum, M.; Menon, B.K.; Fick, G.; Smith, E.E.; Goyal, M.; Frayne, R.; Coutts, S.B. Reduced blood flow in normal white matter predicts development of leukoaraiosis. J. Cereb. Blood Flow Metab. 2015, 35, 1610–1615. [Google Scholar] [CrossRef] [PubMed]
  39. Castro, P.; Azevedo, E.; Rocha, I.; Sorond, F.; Serrador, J.M. Chronic kidney disease and poor outcomes in ischemic stroke: Is impaired cerebral autoregulation the missing link? BMC Neurol. 2018, 18, 21. [Google Scholar] [CrossRef] [PubMed]
  40. Ghoshal, S.; Gomez, J.; Datar, S.V.; Tegeler, C.; Sarwal, A.; Freedman, B.I. The impact of chronic kidney disease on cerebral hemodynamics: A transcranial Doppler study. J. Cereb. Blood Flow Metab. 2020, 40, 482–487. [Google Scholar] [CrossRef]
  41. Lin, W.; Liu, M.; Wu, X.; Meng, S.; Yu, K.; Su, H.; Liang, Q.; Chen, F.; Li, J.; Xiao, W.; et al. Altered Cerebral Blood Flow in the Progression of Chronic Kidney Disease. J. Pers. Med. 2023, 13, 142. [Google Scholar] [CrossRef] [PubMed]
  42. Tamura, M.K.; Pajewski, N.M.; Bryan, R.N.; Weiner, D.E.; Diamond, M.; VanBuren, P.; Taylor, A.; Beddhu, S.; Rosendorff, C.; Jahanian, H.; et al. Chronic kidney disease, cerebral blood flow, and white matter volume in hypertensive adults. Neurology 2016, 86, 1208–1216. [Google Scholar] [CrossRef] [PubMed]
  43. Sedaghat, S.; Vernooij, M.W.; Loehrer, E.; Mattace-Raso, F.U.; Hofman, A.; van der Lugt, A.; Franco, O.H.; Dehghan, A.; Ikram, M.A. Kidney Function and Cerebral Blood Flow: The Rotterdam Study. J. Am. Soc. Nephrol. 2016, 27, 715–721. [Google Scholar] [CrossRef] [PubMed]
  44. Pantoni, L. Cerebral small vessel disease: From pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 2010, 9, 689–701. [Google Scholar] [CrossRef] [PubMed]
  45. Makin, S.D.; Cook, F.A.; Dennis, M.S.; Wardlaw, J.M. Cerebral small vessel disease and renal function: Systematic review and meta-analysis. Cerebrovasc. Dis. 2015, 39, 39–52. [Google Scholar] [CrossRef]
  46. Vilar-Bergua, A.; Riba-Llena, I.; Ramos, N.; Mundet, X.; Espinel, E.; López-Rueda, A.; Ostos, E.; Seron, D.; Montaner, J.; Delgado, P. Microalbuminuria and the Combination of MRI Markers of Cerebral Small Vessel Disease. Cerebrovasc. Dis. 2016, 42, 66–72. [Google Scholar] [CrossRef] [PubMed]
  47. Wada, M.; Nagasawa, H.; Kurita, K.; Koyama, S.; Arawaka, S.; Kawanami, T.; Tajima, K.; Daimon, M.; Kato, T. Microalbuminuria is a risk factor for cerebral small vessel disease in community-based elderly subjects. J. Neurol. Sci. 2007, 255, 27–34. [Google Scholar] [CrossRef] [PubMed]
  48. Akoudad, S.; Sedaghat, S.; Hofman, A.; Koudstaal, P.J.; van der Lugt, A.; Ikram, M.A.; Vernooij, M.W. Kidney function and cerebral small vessel disease in the general population. Int. J. Stroke 2015, 10, 603–608. [Google Scholar] [CrossRef] [PubMed]
  49. Jeon, J.W.; Jeong, H.S.; Choi, D.E.; Ham, Y.R.; Na, K.R.; Lee, K.W.; Shin, J.W.; Kim, J. Prognostic Relationships between Microbleed, Lacunar Infarction, White Matter Lesion, and Renal Dysfunction in Acute Ischemic Stroke Survivors. J. Stroke Cerebrovasc. Dis. 2017, 26, 385–392. [Google Scholar] [CrossRef]
  50. Quick, S.; Moss, J.; Rajani, R.M.; Williams, A. A Vessel for Change: Endothelial Dysfunction in Cerebral Small Vessel Disease. Trends Neurosci. 2021, 44, 289–305. [Google Scholar] [CrossRef] [PubMed]
  51. Wiseman, S.; Marlborough, F.; Doubal, F.; Webb, D.J.; Wardlaw, J. Blood markers of coagulation, fibrinolysis, endothelial dysfunction and inflammation in lacunar stroke versus non-lacunar stroke and non-stroke: Systematic review and meta-analysis. Cerebrovasc. Dis. 2014, 37, 64–75. [Google Scholar] [CrossRef] [PubMed]
  52. Hainsworth, A.H.; Oommen, A.T.; Bridges, L.R. Endothelial cells and human cerebral small vessel disease. Brain Pathol. 2015, 25, 44–50. [Google Scholar] [CrossRef] [PubMed]
  53. Blair, G.W.; Thrippleton, M.J.; Shi, Y.; Hamilton, I.; Stringer, M.; Chappell, F.; Dickie, D.A.; Andrews, P.; Marshall, I.; Doubal, F.N.; et al. Intracranial hemodynamic relationships in patients with cerebral small vessel disease. Neurology 2020, 94, e2258–e2269. [Google Scholar] [CrossRef] [PubMed]
  54. Staszewski, J.; Skrobowska, E.; Piusińska-Macoch, R.; Brodacki, B.; Stępień, A. Cerebral and Extracerebral Vasoreactivity in Patients With Different Clinical Manifestations of Cerebral Small-Vessel Disease: Data From the Significance of Hemodynamic and Hemostatic Factors in the Course of Different Manifestations of Cerebral Small-Vessel Disease Study. J. Ultrasound Med. 2019, 38, 975–987. [Google Scholar] [CrossRef] [PubMed]
  55. Debette, S.; Markus, H.S. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: Systematic review and meta-analysis. BMJ 2010, 341, c3666. [Google Scholar] [CrossRef] [PubMed]
  56. Khatri, M.; Wright, C.B.; Nickolas, T.L.; Yoshita, M.; Paik, M.C.; Kranwinkel, G.; Sacco, R.L.; DeCarli, C. Chronic kidney disease is associated with white matter hyperintensity volume: The Northern Manhattan Study (NOMAS). Stroke 2007, 38, 3121–3126. [Google Scholar] [CrossRef] [PubMed]
  57. Weiner, D.E.; Bartolomei, K.; Scott, T.; Price, L.L.; Griffith, J.L.; Rosenberg, I.; Levey, A.S.; Folstein, M.F.; Sarnak, M.J. Albuminuria, cognitive functioning, and white matter hyperintensities in homebound elders. Am. J. Kidney Dis. 2009, 53, 438–447. [Google Scholar] [CrossRef] [PubMed]
  58. Umemura, T.; Kawamura, T.; Sakakibara, T.; Mashita, S.; Hotta, N.; Sobue, G. Microalbuminuria is independently associated with deep or infratentorial brain microbleeds in hypertensive adults. Am. J. Hypertens. 2012, 25, 430–436. [Google Scholar] [CrossRef] [PubMed]
  59. Yokoyama, S.; Hirano, H.; Uomizu, K.; Kajiya, Y.; Tajitsu, K.; Kusumoto, K. High incidence of microbleeds in hemodialysis patients detected by T2*-weighted gradient-echo magnetic resonance imaging. Neurol. Med. Chir. 2005, 45, 556–560. [Google Scholar] [CrossRef]
  60. Naganuma, T.; Takemoto, Y.; Shoji, T.; Ishimura, E.; Okamura, M.; Nakatani, T. Cerebral Microbleeds Predict Intracerebral Hemorrhage in Hemodialysis Patients. Stroke 2015, 46, 2107–2112. [Google Scholar] [CrossRef]
  61. Bokura, H.; Saika, R.; Yamaguchi, T.; Nagai, A.; Oguro, H.; Kobayashi, S.; Yamaguchi, S. Microbleeds are associated with subsequent hemorrhagic and ischemic stroke in healthy elderly individuals. Stroke 2011, 42, 1867–1871. [Google Scholar] [CrossRef] [PubMed]
  62. Thijs, V.; Lemmens, R.; Schoofs, C.; Görner, A.; VanDamme, P.; Schrooten, M.; Demaerel, P. Microbleeds and the risk of recurrent stroke. Stroke 2010, 41, 2005–2009. [Google Scholar] [CrossRef] [PubMed]
  63. Lau, W.L.; Nunes, A.C.F.; Vasilevko, V.; Floriolli, D.; Lertpanit, L.; Savoj, J.; Bangash, M.; Yao, Z.; Shah, K.; Naqvi, S.; et al. Chronic Kidney Disease Increases Cerebral Microbleeds in Mouse and Man. Transl. Stroke Res. 2020, 11, 122–134. [Google Scholar] [CrossRef] [PubMed]
  64. Wolf, P.A.; Abbott, R.D.; Kannel, W.B. Atrial fibrillation as an independent risk factor for stroke: The Framingham Study. Stroke 1991, 22, 983–988. [Google Scholar] [CrossRef]
  65. Sanna, T.; Diener, H.C.; Passman, R.S.; DiLazzaro, V.; Bernstein, R.A.; Morillo, C.A.; Rymer, M.M.; Thijs, V.; Rogers, T.; Beckers, F.; et al. Cryptogenic stroke and underlying atrial fibrillation. N. Engl. J. Med. 2014, 370, 2478–2486. [Google Scholar] [CrossRef]
  66. Gladstone, D.J.; Spring, M.; Dorian, P.; Panzov, V.; Thorpe, K.E.; Hall, J.; Vaid, H.; O’Donnell, M.; Laupacis, A.; Côté, R.; et al. Atrial Fibrillation in Patients with Cryptogenic Stroke. N. Engl. J. Med. 2014, 370, 2467–2477. [Google Scholar] [CrossRef]
  67. Ocak, G.; Khairoun, M.; Khairoun, O.; Bos, W.J.W.; Fu, E.L.; Cramer, M.J.; Westerink, J.; Verhaar, M.C.; Visseren, F.L. UCC-SMART study group Chronic kidney disease and atrial fibrillation: A dangerous combination. PLoS ONE 2022, 17, e0266046. [Google Scholar] [CrossRef]
  68. Go, A.S.; Fang, M.C.; Udaltsova, N.; Chang, Y.; Pomernacki, N.K.; Borowsky, L.; Singer, D.E.; ATRIA Study Investigators. Impact of proteinuria and glomerular filtration rate on risk of thromboembolism in atrial fibrillation: The anticoagulation and risk factors in atrial fibrillation (ATRIA) study. Circulation 2009, 119, 1363–1369. [Google Scholar] [CrossRef]
  69. Zimmerman, D.; Sood, M.M.; Rigatto, C.; Holden, R.M.; Hiremath, S.; Clase, C.M. Systematic review and meta-analysis of incidence, prevalence and outcomes of atrial fibrillation in patients on dialysis. Nephrol. Dial. Transplant. 2012, 27, 3816–3822. [Google Scholar] [CrossRef]
  70. Liao, J.-N.; Chao, T.-F.; Liu, C.-J.; Wang, K.-L.; Chen, S.-J.; Lin, Y.-J.; Chang, S.-L.; Lo, L.-W.; Hu, Y.-F.; Tuan, T.-C.; et al. Incidence and risk factors for new-onset atrial fibrillation among patients with end-stage renal disease undergoing renal replacement therapy. Kidney Int. 2015, 87, 1209–1215. [Google Scholar] [CrossRef]
  71. Zhang, C.; Gao, J.; Guo, Y.; Xing, A.; Ye, P.; Wu, Y.; Wu, S.; Luo, Y. Association of atrial fibrillation and clinical outcomes in adults with chronic kidney disease: A propensity score-matched analysis. PLoS ONE. 2020, 15, e0230189. [Google Scholar] [CrossRef]
  72. Wizemann, V.; Tong, L.; Satayathum, S.; Disney, A.; Akiba, T.; Fissell, R.B.; Kerr, P.G.; Young, E.W.; Robinson, B.M. Atrial fibrillation in hemodialysis patients: Clinical features and associations with anticoagulant therapy. Kidney Int. 2010, 77, 1098–1106. [Google Scholar] [CrossRef] [PubMed]
  73. Carrero, J.J.; Trevisan, M.; Sood, M.M.; Bárány, P.; Xu, H.; Evans, M.; Friberg, L.; Szummer, K. Incident Atrial Fibrillation and the Risk of Stroke in Adults with Chronic Kidney Disease: The Stockholm CREAtinine Measurements (SCREAM) Project. Clin. J. Am. Soc. Nephrol. 2018, 13, 1314–1320. [Google Scholar] [CrossRef] [PubMed]
  74. Luo, Y.; Wang, X.; Matsushita, K.; Wang, C.; Zhao, X.; Hu, B.; Liu, L.; Li, H.; Liu, G.; Jia, Q.; et al. Associations Between Estimated Glomerular Filtration Rate and Stroke Outcomes in Diabetic Versus Nondiabetic Patients. Stroke 2014, 45, 2887–2893. [Google Scholar] [CrossRef]
  75. Pan, Y.; Jing, J.; Chen, W.; Wang, Y.; He, Y. Association between impaired renal function and stroke outcome in patients with versus without atrial fibrillation. Eur. J. Neurol. 2018, 25, 1041–1048. [Google Scholar] [CrossRef] [PubMed]
  76. Ding, W.Y.; Gupta, D.; Wong, C.F.; Lip, G.Y.H. Pathophysiology of atrial fibrillation and chronic kidney disease. Cardiovasc. Res. 2021, 117, 1046–1059. [Google Scholar] [CrossRef]
  77. Wang, Y.; Yang, Y.; He, F. Insights into Concomitant Atrial Fibrillation and Chronic Kidney Disease. Rev. Cardiovasc. Med. 2022, 23, 105. [Google Scholar] [CrossRef]
  78. Kumar, S.; Lim, E.; Covic, A.; Verhamme, P.; Gale, C.P.; Camm, A.J.; Goldsmith, D. Anticoagulation in Concomitant Chronic Kidney Disease and Atrial Fibrillation: JACC Review Topic of the Week. J. Am. Coll. Cardiol. 2019, 74, 2204–2215. [Google Scholar] [CrossRef]
  79. Suzuki, S.; Sagara, K.; Otsuka, T.; Kanou, H.; Matsuno, S.; Uejima, T.; Oikawa, Y.; Koike, A.; Nagashima, K.; Kirigaya, H.; et al. Estimated glomerular filtration rate and proteinuria are associated with persistent form of atrial fibrillation: Analysis in Japanese patients. J. Cardiol. 2013, 61, 53–57. [Google Scholar] [CrossRef]
  80. Ehrlich, J.R.; Hohnloser, S.H.; Nattel, S. Role of angiotensin system and effects of its inhibition in atrial fibrillation: Clinical and experimental evidence. Eur. Heart J. 2006, 27, 512–518. [Google Scholar] [CrossRef]
  81. Rhee, T.-M.; Lee, S.-R.; Choi, E.-K.; Oh, S.; Lip, G.Y.H. Efficacy and Safety of Oral Anticoagulants for Atrial Fibrillation Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis. Front. Cardiovasc. Med. 2022, 9, 885548. [Google Scholar] [CrossRef] [PubMed]
  82. Su, X.; Yan, B.; Wang, L.; Lv, J.; Cheng, H.; Chen, Y. Oral Anticoagulant Agents in Patients With Atrial Fibrillation and CKD: A Systematic Review and Pairwise Network Meta-analysis. Am. J. Kidney Dis. 2021, 78, 678–689.e1. [Google Scholar] [CrossRef] [PubMed]
  83. Kapłon-Cieślicka, A.; Budnik, M.; Gawałko, M.; Peller, M.; Gorczyca, I.; Michalska, A.; Babiarz, A.; Bodys, A.; Uliński, R.; Żochowski, M.; et al. Atrial fibrillation type and renal dysfunction as important predictors of left atrial thrombus. Heart 2019, 105, 1310–1315. [Google Scholar] [CrossRef] [PubMed]
  84. Kizawa, S.; Ito, T.; Akamatsu, K.; Ichihara, N.; Nogi, S.; Miyamura, M.; Kanzaki, Y.; Sohmiya, K.; Hoshiga, M. Chronic Kidney Disease as a Possible Predictor of Left Atrial Thrombogenic Milieu Among Patients with Nonvalvular Atrial Fibrillation. Am. J. Cardiol. 2018, 122, 2062–2067. [Google Scholar] [CrossRef] [PubMed]
  85. Lutz, J.; Jurk, R.N.K. Platelets in Advanced Chronic Kidney Disease: Two Sides of the Coin. Semin. Thromb. Hemost. 2020, 46, 342–356. [Google Scholar] [CrossRef] [PubMed]
  86. Yang, K.; Du, C.; Wang, X.; Li, F.; Xu, Y.; Wang, S.; Chen, S.; Chen, F.; Shen, M.; Chen, M.; et al. Indoxyl sulfate induces platelet hyperactivity and contributes to chronic kidney disease–associated thrombosis in mice. Blood 2017, 129, 2667–2679. [Google Scholar] [CrossRef]
  87. Baber, U.; Mehran, R.; Kirtane, A.J.; Gurbel, P.A.; Christodoulidis, G.; Maehara, A.; Witzenbichler, B.; Weisz, G.; Rinaldi, M.J.; Metzger, D.C.; et al. Prevalence and impact of high platelet reactivity in chronic kidney disease: Results from the Assessment of Dual Antiplatelet Therapy with Drug-Eluting Stents registry. Circ. Cardiovasc. Interv. 2015, 8, e001683. [Google Scholar] [CrossRef]
  88. Yagmur, E.; Frank, R.D.; Neulen, J.; Floege, J.; Mühlfeld, A.S. Platelet Hyperaggregability is Highly Prevalent in Patients With Chronic Kidney Disease: An Underestimated Risk Indicator of Thromboembolic Events. Clin. Appl. Thromb. 2015, 21, 132–138. [Google Scholar] [CrossRef]
  89. Kaw, D.; Malhotra, D. Platelet dysfunction and end-stage renal disease. Semin. Dial. 2006, 19, 317–322. [Google Scholar] [CrossRef]
  90. Matusik, P.T.; Heleniak, Z.; Papuga-Szela, E.; Plens, K.; Lelakowski, J.; Undas, A. Chronic Kidney Disease and Its Impact on a Prothrombotic State in Patients with Atrial Fibrillation. J. Clin. Med. 2020, 9, 2476. [Google Scholar] [CrossRef]
  91. Ding, W.Y.; Davies, I.G.; Gupta, D.; Lip, G.Y.H. Relationship between Renal Function, Fibrin Clot Properties and Lipoproteins in Anticoagulated Patients with Atrial Fibrillation. Biomedicines 2022, 10, 2270. [Google Scholar] [CrossRef] [PubMed]
  92. Sharma, S.; Farrington, K.; Kozarski, R.; Christopoulos, C.; Niespialowska-Steuden, M.; Moffat, D.; Gorog, D.A. Impaired thrombolysis: A novel cardiovascular risk factor in end-stage renal disease. Eur. Heart J. 2013, 34, 354–363. [Google Scholar] [CrossRef] [PubMed]
  93. Muntner, P.; Anderson, A.; Charleston, J.; Chen, Z.; Ford, V.; Makos, G.; O’Connor, A.; Perumal, K.; Rahman, M.; Steigerwalt, S.; et al. Hypertension awareness, treatment, and control in adults with CKD: Results from the Chronic Renal Insufficiency Cohort (CRIC) Study. Am. J. Kidney Dis. 2010, 55, 441–451. [Google Scholar] [CrossRef] [PubMed]
  94. Kelly, D.M.; Rothwell, P.M. Does Chronic Kidney Disease Predict Stroke Risk Independent of Blood Pressure?: A Systematic Review and Meta-Regression. Stroke 2019, 50, 3085–3092. [Google Scholar] [CrossRef]
  95. Teza, H.; Boonmanunt, S.; Unwanatham, N.; Thadanipon, K.; Limpijankit, T.; Pattanaprateep, O.; Pattanateepapon, A.; McKay, G.J.; Attia, J.; Thakkinstian, A. Evaluation of transitions from early hypertension to hypertensive chronic kidney disease, coronary artery disease, stroke and mortality: A Thai real-world data cohort. Front. Cardiovasc. Med. 2023, 10, 1170010. [Google Scholar] [CrossRef]
  96. Kovesdy, C.P.; Alrifai, A.; Gosmanova, E.O.; Lu, J.L.; Canada, R.B.; Wall, B.M.; Hung, A.M.; Molnar, M.Z.; Kalantar-Zadeh, K. Age and Outcomes Associated with BP in Patients with Incident CKD. Clin. J. Am. Soc. Nephrol. 2016, 11, 821–831. [Google Scholar] [CrossRef]
  97. Li, Y.; Liang, M.; Jiang, C.; Wang, G.; Li, J.; Zhang, Y.; Fan, F.; Sun, N.; Cui, Y.; He, M.; et al. Impact of achieved blood pressure on renal function decline and first stroke in hypertensive patients with chronic kidney disease. Nephrol. Dial. Transplant. 2018, 33, 409–417. [Google Scholar] [CrossRef]
  98. Wang, J.; Shi, X.; Ma, C.; Zheng, H.; Xiao, J.; Bian, H.; Ma, Z.; Gong, L. Visit-to-visit blood pressure variability is a risk factor for all-cause mortality and cardiovascular disease: A systematic review and meta-analysis. J. Hypertens. 2017, 35, 10–17. [Google Scholar] [CrossRef]
  99. Diaz, K.M.; Tanner, R.M.; Falzon, L.; Levitan, E.B.; Reynolds, K.; Shimbo, D.; Muntner, P. Visit-to-visit variability of blood pressure and cardiovascular disease and all-cause mortality: A systematic review and meta-analysis. Hypertension 2014, 64, 965–982. [Google Scholar] [CrossRef]
  100. Li, Y.; Zhou, H.; Liu, M.; Liang, M.; Wang, G.; Wang, B.; Li, J.; Cui, Y.; Song, Y.; Zhang, Y.; et al. Association of visit-to-visit variability in blood pressure and first stroke risk in hypertensive patients with chronic kidney disease. J. Hypertens. 2020, 38, 610–617. [Google Scholar] [CrossRef]
  101. Chang, T.I.; Tabada, G.H.; Yang, J.; Tan, T.C.; Go, A.S. Visit-to-visit variability of blood pressure and death, end-stage renal disease, and cardiovascular events in patients with chronic kidney disease. J. Hypertens. 2016, 34, 244–252. [Google Scholar] [CrossRef]
  102. Ryu, J.-C.; Bae, J.-H.; Ha, S.H.; Chang, J.Y.; Kang, D.-W.; Kwon, S.U.; Kim, J.S.; Baek, C.H.; Kim, B.J. Blood pressure variability and early neurological deterioration according to the chronic kidney disease risk categories in minor ischemic stroke patients. PLoS ONE 2022, 17, e0274180. [Google Scholar] [CrossRef]
  103. Speer, T.; Ridker, P.M.; von Eckardstein, A.; Schunk, S.J.; Fliser, D. Lipoproteins in chronic kidney disease: From bench to bedside. Eur. Heart J. 2021, 42, 2170–2185. [Google Scholar] [CrossRef]
  104. Yen, C.; Fan, P.; Lee, C.; Chen, J.; Kuo, G.; Tu, Y.; Chu, P.; Hsu, H.; Tian, Y.; Chang, C. Association of Low-Density Lipoprotein Cholesterol Levels During Statin Treatment with Cardiovascular and Renal Outcomes in Patients with Moderate Chronic Kidney Disease. J. Am. Heart Assoc. 2022, 11, e027516. [Google Scholar] [CrossRef] [PubMed]
  105. Zhang, A.; Deng, W.; Zhang, B.; Ren, M.; Tian, L.; Ge, J.; Bai, J.; Hu, H.; Cui, L. Association of lipid profiles with severity and outcome of acute ischemic stroke in patients with and without chronic kidney disease. Neurol. Sci. 2021, 42, 2371–2378. [Google Scholar] [CrossRef] [PubMed]
  106. Cholesterol Treatment Trialists’ (CTT) Collaboration; Herrington, W.; Emberson, J.; Mihaylova, B.; Blackwell, L.; Reith, C.; Solbu, M.; Mark, P.; Fellström, B.; Jardine, A.; et al. Impact of renal function on the effects of LDL cholesterol lowering with statin-based regimens: A meta-analysis of individual participant data from 28 randomised trials. Lancet Diabetes Endocrinol. 2016, 4, 829–839. [Google Scholar] [CrossRef] [PubMed]
  107. Yan, Y.-L.; Qiu, B.; Wang, J.; Deng, S.-B.; Wu, L.; Jing, X.-D.; Du, J.-L.; Liu, Y.-J.; She, Q. High-intensity statin therapy in patients with chronic kidney disease: A systematic review and meta-analysis. BMJ Open 2015, 5, e006886. [Google Scholar] [CrossRef]
  108. Chung, C.-M.; Lin, M.-S.; Hsu, J.-T.; Hsiao, J.-F.; Chang, S.-T.; Pan, K.-L.; Lin, C.-L.; Lin, Y.-S. Effects of statin therapy on cerebrovascular and renal outcomes in patients with predialysis advanced chronic kidney disease and dyslipidemia. J. Clin. Lipidol. 2017, 11, 422–431.e2. [Google Scholar] [CrossRef]
  109. Crea, F. Dyslipidaemias in stroke, chronic kidney disease, and aortic stenosis: The new frontiers for cholesterol lowering. Eur. Heart J. 2021, 42, 2137–2140. [Google Scholar] [CrossRef]
  110. Kastarinen, H.; Ukkola, O.; Kesäniemi, Y.A. Glomerular filtration rate is related to carotid intima-media thickness in middle-aged adults. Nephrol. Dial. Transplant. 2009, 24, 2767–2772. [Google Scholar] [CrossRef]
  111. Buscemi, S.; Geraci, G.; Massenti, F.; Costa, F.; D’Orio, C.; Rosafio, G.; Maniaci, V.; Parrinello, G. Renal function and carotid atherosclerosis in adults with no known kidney disease. Nutr. Metab. Cardiovasc. Dis. 2017, 27, 267–273. [Google Scholar] [CrossRef]
  112. Kajitani, N.; Uchida, H.A.; Suminoe, I.; Kakio, Y.; Kitagawa, M.; Sato, H.; Wada, J. Chronic kidney disease is associated with carotid atherosclerosis and symptomatic ischaemic stroke. J. Int. Med Res. 2018, 46, 3873–3883. [Google Scholar] [CrossRef] [PubMed]
  113. Desbien, A.M.; Chonchol, M.; Gnahn, H.; Sander, D. Kidney Function and Progression of Carotid Intima-Media Thickness in a Community Study. Am. J. Kidney Dis. 2008, 51, 584–593. [Google Scholar] [CrossRef]
  114. Rizikalo, A.; Coric, S.; Matetic, A.; Vasilj, M.; Tocilj, Z.; Bozic, J. Association of Glomerular Filtration Rate and Carotid Intima-Media Thickness in Non-Diabetic Chronic Kidney Disease Patients over a 4-Year Follow-Up. Life 2021, 11, 204. [Google Scholar] [CrossRef] [PubMed]
  115. Tanaka, M.; Abe, Y.; Furukado, S.; Miwa, K.; Sakaguchi, M.; Sakoda, S.; Kitagawa, K. Chronic Kidney Disease and Carotid Atherosclerosis. J. Stroke Cerebrovasc. Dis. 2012, 21, 47–51. [Google Scholar] [CrossRef]
  116. Yu, F.P.; Zhao, Y.C.; Gu, B.; Hu, J.; Yang, Y.Y. Chronic Kidney Disease and Carotid Atherosclerosis in Patients with Acute Stroke. Neurologist 2015, 20, 23–26. [Google Scholar] [CrossRef]
  117. Asp, A.M.; Wallquist, C.; Rickenlund, A.; Hylander, B.; Jacobson, S.H.; Caidahl, K.; Eriksson, M.J. Aspects of carotid structure and function in health and different stages of chronic kidney disease. Clin. Physiol. Funct. Imaging 2018, 38, 402–408. [Google Scholar] [CrossRef] [PubMed]
  118. Hassan, M.O.; Dix-Peek, T.; Duarte, R.; Dickens, C.; Naidoo, S.; Vachiat, A.; Grinter, S.; Manga, P.; Naicker, S. Association of chronic inflammation and accelerated atherosclerosis among an indigenous black population with chronic kidney disease. PLoS ONE 2020, 15, e0232741. [Google Scholar] [CrossRef]
  119. Zimmermann, J.; Herrlinger, S.; Pruy, A.; Metzger, T.; Wanner, C. Inflammation enhances cardiovascular risk and mortality in hemodialysis patients. Kidney Int. 1999, 55, 648–658. [Google Scholar] [CrossRef]
  120. Recio-Mayoral, A.; Banerjee, D.; Streather, C.; Kaski, J.C. Endothelial dysfunction, inflammation and atherosclerosis in chronic kidney disease—A cross-sectional study of predialysis, dialysis and kidney-transplantation patients. Atherosclerosis 2011, 216, 446–451. [Google Scholar] [CrossRef]
  121. Pelisek, J.; Hahntow, I.N.; Eckstein, H.-H.; Ockert, S.; Reeps, C.; Heider, P.; Luppa, P.B.; Frank, H. Impact of chronic kidney disease on carotid plaque vulnerability. J. Vasc. Surg. 2011, 54, 1643–1649. [Google Scholar] [CrossRef]
  122. Pelisek, J.; Assadian, A.; Sarkar, O.; Eckstein, H.; Frank, H. Carotid Plaque Composition in Chronic Kidney Disease: A Retrospective Analysis of Patients Undergoing Carotid Endarterectomy. Eur. J. Vasc. Endovasc. Surg. 2010, 39, 11–16. [Google Scholar] [CrossRef]
  123. Ravid, J.D.; Kamel, M.H.; Chitalia, V.C. Uraemic solutes as therapeutic targets in CKD-associated cardiovascular disease. Nat. Rev. Nephrol. 2021, 17, 402–416. [Google Scholar] [CrossRef] [PubMed]
  124. Spence, J.D.; Urquhart, B.L. Cerebrovascular Disease, Cardiovascular Disease, and Chronic Kidney Disease: Interplays and Influences. Curr. Neurol. Neurosci. Rep. 2022, 22, 757–766. [Google Scholar] [CrossRef] [PubMed]
  125. Assem, M.; Lando, M.; Grissi, M.; Kamel, S.; Massy, Z.A.; Chillon, J.-M.; Hénaut, L. The Impact of Uremic Toxins on Cerebrovascular and Cognitive Disorders. Toxins 2018, 10, 303. [Google Scholar] [CrossRef] [PubMed]
  126. Jing, W.; Jabbari, B.; Vaziri, N.D. Uremia induces upregulation of cerebral tissue oxidative/inflammatory cascade, down-regulation of Nrf2 pathway and disruption of blood brain barrier. Am. J. Transl. Res. 2018, 10, 2137–2147. [Google Scholar]
  127. Deguchi, T.; Isozaki, K.; Yousuke, K.; Terasaki, T.; Otagiri, M. Involvement of organic anion transporters in the efflux of uremic toxins across the blood-brain barrier. J. Neurochem. 2006, 96, 1051–1059. [Google Scholar] [CrossRef]
  128. Bobot, M.; Thomas, L.; Moyon, A.; Fernandez, S.; McKay, N.; Balasse, L.; Garrigue, P.; Brige, P.; Chopinet, S.; Poitevin, S.; et al. Uremic Toxic Blood-Brain Barrier Disruption Mediated by AhR Activation Leads to Cognitive Impairment during Experimental Renal Dysfunction. J. Am. Soc. Nephrol. 2020, 31, 1509–1521. [Google Scholar] [CrossRef] [PubMed]
  129. Sarvari, S.; Moakedi, F.; Hone, E.; Simpkins, J.W.; Ren, X. Mechanisms in blood-brain barrier opening and metabolism-challenged cerebrovascular ischemia with emphasis on ischemic stroke. Metab. Brain Dis. 2020, 35, 851–868. [Google Scholar] [CrossRef]
  130. Jing, Z.; Wei-Jie, Y.; Nan, Z.; Yi, Z.; Ling, W. Hemoglobin Targets for Chronic Kidney Disease Patients with Anemia: A Systematic Review and Meta-analysis. PLoS ONE 2012, 7, e43655. [Google Scholar] [CrossRef]
  131. Liu, H.; Ye, Y.; Chen, Y.; Zhang, Y.; Li, S.; Hu, W.; Yang, R.; Zhang, Z.; Peng, H.; Lv, L.; et al. Therapeutic Targets for the Anemia of Predialysis Chronic Kidney Disease: A Meta-Analysis of Randomized, Controlled Trials. J. Investig. Med. 2019, 67, 1002–1008. [Google Scholar] [CrossRef]
  132. Yotsueda, R.; Tanaka, S.; Taniguchi, M.; Fujisaki, K.; Torisu, K.; Masutani, K.; Hirakata, H.; Kitazono, T.; Tsuruya, K. Hemoglobin concentration and the risk of hemorrhagic and ischemic stroke in patients undergoing hemodialysis: The Q-cohort study. Nephrol. Dial. Transplant. 2018, 33, 856–864. [Google Scholar] [CrossRef]
  133. Uchida, Y.; Nakano, T.; Kitamura, H.; Taniguchi, M.; Tsuruya, K.; Kitazono, T. Association between hyporesponsiveness to erythropoiesis-stimulating agents and risk of brain hemorrhage in patients undergoing hemodialysis: The Q-Cohort Study. Clin. Exp. Nephrol. 2023, 27, 79–88. [Google Scholar] [CrossRef]
  134. Seliger, S.L.; Zhang, A.D.; Weir, M.R.; Walker, L.; Hsu, V.D.; Parsa, A.; Diamantidis, C.J.; Fink, J.C. Erythropoiesis-stimulating agents increase the risk of acute stroke in patients with chronic kidney disease. Kidney Int. 2011, 80, 288–294. [Google Scholar] [CrossRef]
  135. Hung, P.; Yeh, C.; Hsiao, C.; Muo, C.; Hung, K.; Tsai, K. Erythropoietin Use and the Risk of Stroke in Patients on Hemodialysis: A Retrospective Cohort Study in Taiwan. J. Am. Heart Assoc. 2021, 10, e019529. [Google Scholar] [CrossRef] [PubMed]
  136. Improving Global Outcomes (KDIGO) Anemia Work Group. KDIGO Clinical Practice Guideline for Anemia in Chronic Kidney Disease. Kidney Int. Suppl. 2012, 2, 279–335. [Google Scholar]
  137. Shanahan, C.M.; Crouthamel, M.H.; Kapustin, A.; Giachelli, C.M. Arterial calcification in chronic kidney disease: Keyroles for calcium and phosphate. Circ. Res. 2011, 109, 697–711. [Google Scholar] [CrossRef] [PubMed]
  138. Jono, S.; McKee, M.D.; Murry, C.E.; Shioi, A.; Nishizawa, Y.; Mori, K.; Morii, H.; Giachelli, C.M. Phosphate Regulation of Vascular Smooth Muscle Cell Calcification. Circ. Res. 2000, 87, E10–E17. [Google Scholar] [CrossRef] [PubMed]
  139. Abbasian, N. Vascular Calcification Mechanisms: Updates and Renewed Insight into Signaling Pathways Involved in High Phosphate-Mediated Vascular Smooth Muscle Cell Calcification. Biomedicines 2021, 9, 804. [Google Scholar] [CrossRef]
  140. Giachelli, C.M.; Jono, S.; Shioi, A.; Nishizawa, Y.; Mori, K.; Morii, H. Vascular calcification and inorganic phosphate. Am. J. Kidney Dis. 2001, 38 (Suppl. S1), S34–S37. [Google Scholar] [CrossRef]
  141. Martín, M.; Valls, J.; Betriu, A.; Fernández, E.; Valdivielso, J.M. Association of serum phosphorus with subclinical atherosclerosis in chronic kidney disease. Sex makes a difference. Atherosclerosis 2015, 241, 264–270. [Google Scholar] [CrossRef] [PubMed]
  142. Betriu, A.; Martinez-Alonso, M.; Arcidiacono, M.V.; Cannata-Andia, J.; Pascual, J.; Valdivielso, J.M.; Fernández, E. Prevalence of subclinical atheromatosis and associated risk factors in chronic kidney disease: The NEFRONA study. Nephrol. Dial. Transplant. 2014, 29, 1415–1422. [Google Scholar] [CrossRef] [PubMed]
  143. Yamada, S.; Tsuruya, K.; Taniguchi, M.; Tokumoto, M.; Fujisaki, K.; Hirakata, H.; Fujimi, S.; Kitazono, T. Association Between Serum Phosphate Levels and Stroke Risk in Patients Undergoing Hemodialysis: The Q-Cohort Study. Stroke 2016, 47, 2189–2196. [Google Scholar] [CrossRef]
  144. Chen, T.-S.; Chen, C.-H.; Chen, C.-A.; Chou, L.-P.; Liu, C.-C. Low serum phosphate is associated with ischemic stroke in hemodialysis patients. Clin. Exp. Nephrol. 2018, 22, 1182–1187. [Google Scholar] [CrossRef] [PubMed]
  145. Tagawa, M.; Hamano, T.; Nishi, H.; Tsuchida, K.; Hanafusa, N.; Fukatsu, A.; Iseki, K.; Tsubakihara, Y. Mineral Metabolism Markers Are Associated with Myocardial Infarction and Hemorrhagic Stroke but Not Ischemic Stroke in Hemodialysis Patients: A Longitudinal Study. PLoS ONE 2014, 9, e114678. [Google Scholar] [CrossRef] [PubMed]
  146. Wright, C.B.; Dong, C.; Stark, M.; Silverberg, S.; Rundek, T.; Elkind, M.S.; Sacco, R.L.; Mendez, A.; Wolf, M. Plasma FGF23 and the risk of stroke: The Northern Manhattan Study (NOMAS). Neurology 2014, 82, 1700–1706. [Google Scholar] [CrossRef]
  147. Memmos, E.; Sarafidis, P.; Pateinakis, P.; Tsiantoulas, A.; Faitatzidou, D.; Giamalis, P.; Vasilikos, V.; Papagianni, A. Soluble Klotho is associated with mortality and cardiovascular events in hemodialysis. BMC Nephrol. 2019, 20, 217. [Google Scholar] [CrossRef]
  148. Ozelsancak, R.; Micozkadioglu, H.; Torun, D.; Tekkarismaz, N. Cerebrovascular events in hemodialysis patients; a retrospective observational study. BMC Nephrol. 2019, 20, 466. [Google Scholar] [CrossRef]
  149. Murray, A.M.; Seliger, S.; Lakshminarayan, K.; Herzog, C.A.; Solid, C.A. Incidence of Stroke Before and After Dialysis Initiation in Older Patients. J. Am. Soc. Nephrol. 2013, 24, 1166–1173. [Google Scholar] [CrossRef]
  150. Foley, R.N.; Gilbertson, D.T.; Murray, T.; Collins, A.J. Long Interdialytic Interval and Mortality among Patients Receiving Hemodialysis. N. Engl. J. Med. 2011, 365, 1099–1107. [Google Scholar] [CrossRef]
  151. MacEwen, C.; Sutherland, S.; Daly, J.; Pugh, C.; Tarassenko, L. Relationship between Hypotension and Cerebral Ischemia during Hemodialysis. J. Am. Soc. Nephrol. 2017, 28, 2511–2520. [Google Scholar] [CrossRef] [PubMed]
  152. Polinder-Bos, H.A.; García, D.V.; Kuipers, J.; Elting, J.W.J.; Aries, M.J.; Krijnen, W.P.; Groen, H.; Willemsen, A.T.; van Laar, P.J.; Strijkert, F.; et al. Hemodialysis Induces an Acute Decline in Cerebral Blood Flow in Elderly Patients. J. Am. Soc. Nephrol. 2018, 29, 1317–1325. [Google Scholar] [CrossRef] [PubMed]
  153. McIntyre, C.W.; Goldsmith, D.J. Ischemic brain injury in hemodialysis patients: Which is more dangerous, hypertension or intradialytic hypotension? Kidney Int. 2015, 87, 1109–1115. [Google Scholar] [CrossRef] [PubMed]
Table 1. Pathogenesis of prothrombotic state in chronic kidney disease.
Table 1. Pathogenesis of prothrombotic state in chronic kidney disease.
Type of StudyPopulationnFindingsRef.
Left atrial thrombus formation
ObservationalPatients undergoing transesophageal echocardiography581Every 10 mL/min/1.73 m2 decrease in estimated glomerular filtration rate correlated with left atrial thrombogenic milieu[86]
ObservationalPatients with AF1033GFR < 56 mL/min/1.73 m2 was an independent predictor of left atrial thrombus[85]
Platelet activation
Animal studyMice with CKDNot applicablePlatelet hyperactivation was found in mice with CKD and was associated with high levels of serum indoxylsulfate[88]
ObservationalPatients on clopidogrel undergoing percutaneous coronary intervention8410Two-fold higher odds for high platelet reactivity associated with a creatinine clearance < 30 mL/min compared with ≥60 mL/min[89]
Fibrin formation and lysis
Cross-sectionalPatients with AF502Impaired fibrinolytic capacity in patients with stages 3 to 4 CKD compared with controls[92]
Cross-sectionalPatients with AF, with and without CKD, and healthy controls56Reduced eGFR was associated with reduced latency time and time to achieve maximum clot thickness[93]
Cross-sectionalPatients with end-stage renal disease (ESRD) and controls316In ESRD, both time required to form (491 ± 177 vs. 378 ± 96 s, p < 0.001) and to lyse an occlusive platelet thrombus were prolonged (1820 vs. 1053 s, p < 0.001) [94]
Cross-sectionalPatients undergoing hemodialysis, renal transplant recipients, and healthy controls84Increased platelet aggregability in CKD patients[89]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kourtidou, C.; Tziomalos, K. Epidemiology and Risk Factors for Stroke in Chronic Kidney Disease: A Narrative Review. Biomedicines 2023, 11, 2398. https://doi.org/10.3390/biomedicines11092398

AMA Style

Kourtidou C, Tziomalos K. Epidemiology and Risk Factors for Stroke in Chronic Kidney Disease: A Narrative Review. Biomedicines. 2023; 11(9):2398. https://doi.org/10.3390/biomedicines11092398

Chicago/Turabian Style

Kourtidou, Christodoula, and Konstantinos Tziomalos. 2023. "Epidemiology and Risk Factors for Stroke in Chronic Kidney Disease: A Narrative Review" Biomedicines 11, no. 9: 2398. https://doi.org/10.3390/biomedicines11092398

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop