Cognitive impairment and microvascular function in end‐stage renal disease

Abstract

Objective

Hemodialysis patients show an approximately threefold higher prevalence of cognitive impairment compared to the age‐matched general population. Impaired microcirculatory function is one of the assumed causes. Dynamic retinal vessel analysis is a quantitative method for measuring neurovascular coupling and microvascular endothelial function. We hypothesize that cognitive impairment is associated with altered microcirculation of retinal vessels.

Methods

152 chronic hemodialysis patients underwent cognitive testing using the Montreal Cognitive Assessment. Retinal microcirculation was assessed by Dynamic Retinal Vessel Analysis, which carries out an examination recording retinal vessels' reaction to a flicker light stimulus under standardized conditions.

Results

In unadjusted as well as in adjusted linear regression analyses a significant association between the visuospatial executive function domain score of the Montreal Cognitive Assessment and the maximum arteriolar dilation as response of retinal arterioles to the flicker light stimulation was obtained.

Conclusion

This is the first study determining retinal microvascular function as surrogate for cerebral microvascular function and cognition in hemodialysis patients. The relationship between impairment in executive function and reduced arteriolar reaction to flicker light stimulation supports the involvement of cerebral small vessel disease as contributing factor for the development of cognitive impairment in this patient population and might be a target for noninvasive disease monitoring and therapeutic intervention.

1. INTRODUCTION

Cognitive impairment in hemodialysis patients attracts more and more clinical and scientific attention throughout the last years. An approximately three‐fold higher prevalence compared to the general population as well as adverse outcomes including increased mortality have been shown recently (Murray et al., 2006; Kurella Tamura et al., 2009; Drew et al., 2019; O'Lone et al., 2016; Kallenberg et al., 2016). However, knowledge about the underlying pathogenesis of cognitive impairment in hemodialysis patients is still limited. An involvement of cerebrovascular rather than neurodegenerative disease has been supported predominantly by findings of imaging studies: In a study by Drew et al. (2013) using magnet resonance imaging, hemodialysis patients had more severe white matter disease, cerebral atrophy including reduced hippocampal size and a higher prevalence of both small and large vessel infarcts than controls. Atrophy of grey matter especially in frontotemporal brain areas was described in several other studies including End Stage Renal Disease (ESRD)‐ but also Chronic Kidney Disease populations (Drew et al., 2017a; Savazzi et al., 2001; Tsuruya et al., 2015; Yoshimitsu et al., 2000). The latter brain areas are related to executive functions, which have been demonstrated to be impaired early in the course of dementia in hemodialysis patients (Drew et al., 2017b; Kurella Tamura et al., 2010), which is also the case in patients with vascular dementia (Wallin et al., 2018). Vascular contributions to cognitive impairment/dementia include endothelial dysfunction and impaired neurovascular coupling (Toth et al., 2017). In healthy individuals, neurovascular coupling and proper endothelial function ensure sufficient cerebral blood flow by adapting vessel diameters depending on the metabolic demand of the neuronal area.

Examining and quantifying these mechanisms in patients usually requires invasive techniques or is restricted to animal studies. Retinal imaging technologies offer the unique possibility to measure neurovascular coupling and endothelial dysfunction of arterioles and venules non‐invasively. Retinal vessels share a common embryonic origin and are therefore anatomically and physiologically comparable to cerebral small vessels (Park, 2007). Dynamic Retinal Vessel Analysis (DVA; Houben et al., 2017) monitors quantitative changes of retinal vessel diameters following flicker light stimuli in video sequences (Figure 1). The flickering light physiologically induces dilation of arterioles and venules via NO release, which is mediated by neurovascular coupling (Newman, 2013). Based on this involvement of NO‐signaling presumably mediated by endothelial cells, parameters of Dynamic Vessel Analyzer (DVA) are considered as potential biomarkers for microvascular endothelial dysfunction (Dorner et al., 2003; Houben et al., 2017). Dilation of retinal vessels following flickering light is known to be altered by factors like age, hypertension, hyperlipidemia, diabetes mellitus, weight and heart failure (Lim et al., 2013; Nagele et al., 2018; Sorensen et al., 2016). Previously, we were able to show, that reduced dilation of retinal venules is an independent risk factor for mortality in our cohort of hemodialysis patients. By applying machine learning methods, we could further demonstrate a role of the retinal arteriolar signal in cardiovascular mortality in those patients (Gunthner et al., 2019; Werfel et al., 2021).

FIGURE 1.

a: Screenshot of dynamic retinal vessel analysis with examined arteriole (red), venule (blue), as well as optic nerve head (#) and macula (*). b and c: Example for median time‐diameter curves of arteriolar and venular diameters in one of the examined patients. aMax and vMax are detected near the end of flickering episode. Thick lines represent median of three measurements; thin lines represent single measurements

Regarding patients with cognitive impairment, we could already show alterations of retinal arterioles' response to the flicker light stimulus in patients with Alzheimer's disease and mild cognitive impairment compared to healthy controls (Kotliar et al., 2017).

Aim of the Study: By applying dynamic retinal vessel analysis, we aimed to evaluate a potential relationship between retinal microcirculation as surrogate for cerebral microcirculation and cognitive function in hemodialysis patients for the first time.

2. METHODS

2.1. Patients, in‐ and exclusion criteria

Recruitment from hemodialysis centers in Munich and surrounding area took place between June 2011 and July 2013. Inclusion criteria were age above 18 years and hemodialysis vintage of at least three months. General exclusion criteria consisted of systemic infection, electrolyte disorder, malignancy and pregnancy. To rule out interference with cognitive testing, any motoric disorder of the dominant hand, a history of aphasia or amaurosis and other first language than German were defined as further exclusion criteria. All patients with MoCA and DVA assessments were included in this study.

This study is part of the risk stratification in end‐stage renal disease study, which is an observational study to evaluate the use of non‐invasive markers of autonomic function and micro‐ and macrocirculation to predict mortality and cardiovascular endpoints in ESRD patients. For a more detailed study protocol we refer to our previous publication (Schmaderer et al., 2016). Cognitive and DVA assessments were part of a sub study and have therefore not been carried out in all participating dialysis centers (see flow chart “data acquisition process” in Supplementary Figure 1).

2.2. Standard protocol approvals, registrations, and patient consents

The study protocol was submitted to the ethics committees of the Faculty of Medicine of the Technische Universität München and of the Landesärztekammer of Bavaria; both raised no objections. All clinical investigations were conducted in accordance with the principles of the Declaration of Helsinki, sixth revision. Written informed consent was obtained from all participants before any study specific procedure. The study is registered at ClinicalTrials.gov (Identifier number: NCT01152892).

2.3. Cognitive testing

For evaluation of cognitive function, the Montreal Cognitive Assessment (MoCA; Nasreddine et al., 2005) was chosen for the current study. Testing was performed under standardized conditions (before dialysis in a separate room) on a midweek dialysis day (Tholen et al., 2014). Executive functions were identified to be impaired early in the course of dementia (Drew et al., 2017b; Kurella Tamura et al., 2010) and to be the predominantly affected domain in hemodialysis patients (Sarnak et al., 2013). Executive functions are covered by the MoCA on a five‐point scale on the basis of three different tasks, called Visuospatial Executive VSE‐domain. For the present analyses MoCA scores without the potential additional point for lower educational level were used (educational level was added as independent variable instead). Furthermore the MoCA‐cut‐off was set at 24 points, which was confirmed to be more suitable for hemodialysis patients by two independent studies (Angermann et al., 2017; Tiffin‐Richards et al., 2014).

2.4. Demographic/clinical characteristics and laboratory parameters

Demographics including age, sex, educational level (according to the cut‐off of 12 years predefined in the MoCA test), cardiovascular risk factors and other comorbidities were derived from medical reports or obtained by patient interviews. Arterial hypertension was defined by the regular intake of antihypertensive medication and hypercholesterolemia by the regular intake of statins or total cholesterol levels above 200 mg/dl in the most recent laboratory examination. Concerning dialysis data, dialysis vintage was calculated as the cumulative time of patients requiring hemodialysis; the ultrafiltration rate was obtained from the protocol of the patients' most recent dialysis session. Blood pressure measurements were performed at the beginning of hemodialysis session. hsCRP was determined as previously described (Lorenz et al., 2018).

2.5. Retinal vessel analysis

Similar to cognitive assessment, eye examinations took place before a midweek dialysis session. If performed on the same day, cognitive assessment was carried out shortly before the eye examination, as for the dynamic measurement mydriasis was induced by instillation of one drop tropicamide (MydriaticumStulln: Pharma Stulln Ltd, Germany) in the eye.

Dynamic vessel analysis was performed in the eye with the dilated pupil by recording retinal vessel diameter changes within short segments (0.5–1 mm) approximately two disc diameters away from the optic disc in the upper‐ or lower‐temporal direction (Figure 1). The diameters of two previously marked vessels (one arteriole and one venule) were continuously measured for 350 s using the DVA (IMEDOS Systems, Jena, Germany). Baseline measurement lasted 50 s, followed by three episodes of flicker light stimulation, where each cycle consisted of 20 s flickering light and 80 s of non‐flicker light recording (Kotliar et al., 2011).

Mean maximum arteriolar and venular dilation (aMax and vMax) were determined in a window 4 s before and 1  s after the end of flickering light stimulation. The maximum arteriolar and venular dilation as primary parameters were chosen as these are the best‐established functional retinal biomarkers and have been evaluated in recently published landmark studies (Nagele et al., 2018; Sorensen et al., 2016). For quality control arteriolar and venular measurements were evaluated by the first observer based on a cumulative scoring method as previously published (Kotliar et al., 2011). The quality score ranged from 0 (“poor quality”) to 5 (“excellent quality”) and criteria included artefacts, noise, gaps within the curve and completeness of data points during flicker episodes. Measurements with a quality score result below 2.5 were discussed with an independent, second observer and excluded whenever necessary.

2.6. Statistical analyses

IBM SPSS Statistics for Windows, version 23 (IBM Corp., Armonk, N.Y., USA) was used for statistical tests. As in our previous publications, MoCA raw scores (not adjusted for educational level) were used for all calculations, as we believe that one extra point on the basis of patients' formal education is not enough to adjust for this important risk factor for cognitive impairment. Instead, educational level was included in corresponding analyses as independent variable.

Demographic and clinical characteristics were obtained by means of descriptive statistics. Patients were divided on the basis of their MoCA score in a “cognitively normal” and a “cognitively impaired” group for the illustration of differences in their demographic and clinical characteristics as well as in their DVA results.

Given the discrepancy between the number of patients, who underwent the MoCA (n = 242) only, compared to those, who participated in the DVA sub‐study and underwent both the MoCA and the DVA (n = 152), we carried out a Chi‐Square‐test for categorical variables (gender, educational level, cardiovascular risk factors) and a Mann‐Whitney‐test for numerical variables (age, Body mass index (BMI), dialysis vintage, MoCA score and subcategories).

To identify influencing factors on the MoCA total score and the subcategories, Spearman rho correlation analyses with age, gender, educational level and the cardiovascular risk factors were calculated (Table 2). These parameters are associated with an increased risk of dementia in the general population and especially the cardiovascular risk factors may play the most prominent role in the pathogenesis of dementia among patients with ESRD, as cognitive impairment is assumed to be related to microvascular brain damage in this population (Drew et al., 2017a; Savazzi et al., 2001; Tsuruya et al., 2015; Yoshimitsu et al., 2000).

TABLE 2.

MoCA score and Visuospatial Executive VSE domain and their correlation to demographical and clinical features (n = 152)

	MoCA score		VSE
	Rho a	p‐value	Rho a	p‐value
Demographics
Age	−0.497	<0.001	−0.395	<0.001
Educational level ≤12 years	−0.392	<0.001	−0.311	<0.001
Sex, male	−0.072	0.375	−0.103	0.207
Comorbidities and hemodynamics
Arterial hypertension	−0.060	0.462	−0.044	0.588
Systolic arterial pressure, mmHg	−0.199	0.014	−0.177	0.029
Diastolic arterial pressure, mmHg	0.096	0.238	0.096	0.240
Mean arterial pressure, mmHg	−0.039	0.630	0.001	0.997
Diabetes mellitus	−0.314	<0.001	−0.223	0.006
Hypercholesterolemia	−0.140	0.086	−0.134	0.101
Nicotine abuse	0.183	0.024	0.083	0.309
BMI, kg/m2	−0.072	0.379	−0.068	0.405
Dialysis‐specific data
Dialysis vintage (months on dialysis)	0.198	0.014	0.117	0.153
Ultrafiltration volume, liters	−0.035	0.674	−0.088	0.297

Abbreviations: BMI: Body mass index, MoCA: Montreal Cognitive Assessment, VSE: Visuo spatial executive.

^a calculation with Spearman correlation.

To identify influencing factors on the DVA parameters correlation analyses with age, cardiovascular risk factors, BMI and hsCRP were calculated (Supplementary Table 2). These factors have been demonstrated to have an impact on changes in retinal microcirculation in previous studies (Gepstein et al., 2012; Nagel et al., 2004; Nguyen et al., 2008; Wong et al., 2004).

Addressing the primary aim of this study the associations between the MoCA total score and the VSE domain with parameters of retinal microcirculation (aMax, vMax) were calculated twofold: firstly, correlation analyses between MoCA total score and the VSE domain and aMax and vMax were calculated, secondly, linear regression analyses using the DVA parameters as dependent variable, MoCA score and VSE domain as independent parameters, were calculated controlled for confounding variables. All variables with an association with MoCA scores and VSE domain scores of p < 0.05 in the previous correlation analyses, namely age, educational level, systolic arterial pressure, nicotine abuse and dialysis vintage were included but not diabetes given the systematic selection of this parameter (see results below, Supplementary Table 1).

3. RESULTS

In 152 mainly Caucasian patients, data for DVA and MoCA were available, respectively. The comparison between patients with a MoCA test only (n = 90) to those with a MoCA and DVA examination (n = 152) revealed a systematic selection of patients included in the current DVA‐analyses for diabetes (p = 0.004), hypercholesterolemia (p = 0.027) and for the MoCA score (p = 0.021) and thus several subcategories. Patients with higher prevalence of diabetes and hypercholesterolemia as well as with lower MoCA scores were in the MoCA only group (Supplementary Table 1). Mean difference for MoCA scores between groups was 1.26 points.

Median MoCA value for the examined cohort was 25. Dividing the score in subcategories showed reduced scores for VSE function (4/5 points), language/verbal fluency (2/3 points) and memory function/recall (3/4 points).

After dividing patients on the basis of their MoCA score in a “cognitively normal” and a “cognitively impaired” group, 67 patients (44.1%) showed cognitive impairment (Table 1).

TABLE 1.

Demographic and clinical characteristics (n = 152) stratified by MoCA score

Demographics	MoCA >24 (n = 85)	MoCA ≤24 (n = 67)	p‐value
Age (years), mean ± SD	58.93 ± 15.34	70.79 ± 11.48	<0.001
Educational level ≤12 years, n (%)	40 (47.1)	56 (83.6)	<0.001
Sex m/f, n (%)	56 (65.9)/29 (34.1)	50(74.6)/17(25.4)	0.244
Comorbidities
Arterial hypertension, n (%)	80 (94.1)	64 (95.5)	0,700
Diabetes mellitus, n (%)	19 (22.4)	29 (43.3)	0.006
Hypercholesterolemia, n (%)	46 (54.1)	46 (68.7)	0.069
Nicotine abuse, n (%)	22 (25.9)	8 (11.9)	0.032
BMI, mean ± SD	25.50 ± 5.61	26.45 ± 5.42	0.161
Aetiology of ESRD
Diabetic nephropathy, n (%)	8 (9.4)	12 (17.9)	0.124
Hypertensive nephropathy, n (%)	5 (5.9)	11 (16.4)	0.036
Glomerulonephritis, n (%)	25 (29.4)	15 (22.4)	0.329
Other causes, n (%)	35 (41.2)	18 (26.9)	0.066
Unknown, n (%)	12 (14.1)	11 (16.4)	0.694
Dialysis‐specific data
Dialysis vintage (months), mean ± SD	70.34 ± 69.08	55.32 ± 56.22	0.190
Ultrafiltration volume (liters), mean ± SD	2.21 ± 1.11	2.40 ± 1.02	0.292
Microcirculatory function ‐ DVA
aMax	2.2 ± 2.5	1.6 ± 2.1	0.172
vMax	3.6 ± 2.4	2.9 ± 2.0	0.024

Abbreviations: aMax: maximum arteriolar dilation; DVA: dynamic vessel analysis, ESRD: end stage renal disease, m/f: male/female, vMax: maximum venular dilation.

Marked numerical differences when comparing the two groups (MoCA ≤24 vs > 24) were present for age, educational level, gender, diabetes, hypercholesterolemia, nicotine abuse and dialysis vintage (Table 1). Patients in the group with a MoCA score ≤24 points (classified as impaired) were older, predominantly male, less educated and had a higher cardiovascular burden except for smoking. With respect to dialysis vintage patients with preserved cognitive function overruled patients with cognitive impairment.

Correlation analyses of MoCA scores with demographics, comorbidities and dialysis‐specific parameters confirmed statistically significant associations with age, educational level, diabetes, nicotine abuse and dialysis vintage (Table 2). The VSE subcategory showed similar significant associations except for nicotine abuse and dialysis vintage.

Flickering light stimulation of the retina measured by DVA revealed a median dilation of the arteriole of 1.9 ± 2.3% above baseline diameter (aMax). Venular dilation (vMax) was 3.3 ± 2.3% above baseline, accordingly. Comparing aMax and vMax between the “cognitively impaired” and “cognitively normal” group showed reduced aMax and vMax for the patients with MoCA score ≤24 (Table 1). However, further analysis also showed a negative correlation of age with aMax and vMax (Supplementary Table 2). Additionally, arterial hypertension assessed as a comorbidity was significantly associated with reduced aMax and (without statistical significance) with reduced vMax. Further laboratory parameters, which were measured to determine systemic inflammation and calcium‐phosphate homeostasis as well as dialysis‐specific parameters did not show significant associations with aMax and vMax.

To explore the associations of the retinal microcirculation and cognitive impairment, the correlation of DVA parameters with MoCA score and subcategories were analyzed (Table 3).

TABLE 3.

Unadjusted and adjusted associations between MoCA parameters and Dynamic Vessel Analyzer (DVA)

	aMax		vMax		aMax (adjusted) b		vMax (adjusted) b
MoCA parameters	Rho a	p	Rho a	p	Beta	p	Beta	p
MoCA score	0.122	0.135	0.185	0.023	0.046	0.637	0.016	0.866
‐ VSE	0.201	0.013	0.164	0.044	0.183	0.047	0.031	0.733
‐ Naming	−0.074	0.366	−0.036	0.663	‐		‐
‐ Attention	−0.026	0.753	0.059	0.471	‐		‐
‐ Language	0.050	0.544	0.094	0.253	‐		‐
‐ Abstraction	0.043	0.602	−0.013	0.876	‐		‐
‐ Memory	0.019	0.821	0.115	0.160	‐		‐
‐ Orientation	0.030	0.713	−0.039	0.630	‐		‐

Abbreviations: aMax: maximum arteriolar dilation; MoCA: Montreal Cognitive Assessment, vMax: maximum venular dilation, VSE: Visuospatial executive.

^a calculation with Spearman correlation.

^b adjustment in linear regression for age, education level, systolic arterial pressure, nicotine abuse and dialysis vintage.

Patients with lower MoCA score showed attenuated dilation of arteriole and venule (statistically significant for vMax, Figure 2). Analysing the subcategories of MoCA revealed that only the VSE domain was significantly associated with aMax as well as vMax. This relationship, which was stronger for the maximum arteriolar dilation, is depicted in the box plot diagram (Figure 2c), where patients were categorized on the basis of their VSE results and the corresponding maximum arteriolar dilation: Higher VSE scores are related to a better response of retinal arterioles to the flicker light stimulus.

FIGURE 2.

Relationship between MoCA and Visuospatial Executive VSE results and parameters of dynamic retinal vessel analysis. Scatter‐Dot Plots for MoCA score with aMax (a) and vMax (b), as well as VSE functions with aMax (c) and vMax (d). Spearman rho is displayed for each association. Lines represent linear regression (a,b) and mean for each category (c,d). MoCA: Montreal Cognitive Assessment, VSE: Visuospatial Executive (0–5 points attainable), aMax: maximum arteriolar dilation, vMax: maximum venular dilation

On the basis of the significant association between the VSE domain and both dynamic parameters linear regression analyses were carried out: In unadjusted analyses only the relationship between the VSE domain and aMax was significant (p = 0.024, corrected R ² = 0.027 for aMax and p = 0.191, corrected R ² = 0.005 for vMax, respectively). To show an effect independently of demographics, hemodynamics and dialysis‐specific factors, the subsequent regression analysis was adjusted to age, educational level, systolic arterial pressure, nicotine abuse and dialysis vintage. After adjustment only the maximum arteriolar dilation remained significantly associated to the VSE domain (p = 0.047, Table 3). The association between the overall score and the maximum venular dilation could not be maintained in adjusted analyses.

4. DISCUSSION

In the current study cognitive function and particularly visuospatial and executive functions, measured by the MoCA test, and their relationship to retinal microcirculatory dysfunction as surrogate for cerebral small vessel damages were analyzed in a cohort of 152 hemodialysis patients. For the maximum arteriolar dilation, which represents the response of retinal arterioles to flicker light stimuli, an independent association was demonstrated to the VSE domain of the MoCA test.

The major novelty of the current study consisted of this significant association between patients' performance in executive functions measured by the VSE domain of the MoCA test and the maximum arteriolar dilation, one standard parameter of the DVA. In this context in unadjusted as well as in adjusted analyses the VSE domain and the maximum arteriolar dilation were positively correlated meaning that a higher reaction of retinal arterioles to the flicker light stimulus is linked to better performance in executive functions and vice versa. To the best of our knowledge this is the first study evaluating cognitive function and changes in retinal microcirculation in a cohort of hemodialysis patients. There are several potential explanations for our findings: As already mentioned above, retinal arteriolar dilation as response to the flicker light stimulus reflects intact neurovascular coupling, a phenomenon existing in retinal as well as cerebral microcirculation. Neurovascular coupling consists of complex interactions between neurons, astrocytes, the endothelium and smooth muscle cells of arterioles to ensure an adequate nutritional supply for increased neuronal activity via NO‐mediated vasodilatation. Age‐mediated neurovascular uncoupling is likely to contribute to neuronal dysfunction especially by reduced NO‐bioavailability leading to cognitive impairment, which is supported by studies in aged rodents as well as in the general elderly population (Fabiani et al., 2014; Seidelmann et al., 2016; Sorond et al., 2005; Toth et al., 2013; Zhang et al., 1995). Which part of the neurovascular unit is affected (neurons and endothelial cells both exhibit NO‐synthases) and in what way hemodialysis might contribute to this uncoupling process has still to be elucidated.

Furthermore, our results point to an involvement of microvascular endothelial dysfunction of retinal and thus presumably also cerebral microvasculature in the pathogenesis of cognitive impairment in hemodialysis patients. Similar as for neurovascular (un‐)coupling NO‐mediated vasodilatation is supposedly impaired contributing to regional cerebral hypoperfusion and thus to neuronal damage and cognitive impairment (Sabayan et al., 2014; Wang et al., 2016). Further possible mechanisms involved include increased platelet adherence and aggregation, leucocyte adhesion and infiltration as well as proliferation of smooth muscle cells promoted by reduced NO‐release (Katusic & Austin, 2016). In previous studies predominantly the traditional cardiovascular risk factors and especially arterial hypertension were identified to play an important role in the development of microvascular endothelial dysfunction (as recently reviewed [Gimbrone & Garcia‐Cardena, 2016]), which is also the case in the current study. Being associated with cardiovascular risk factors as well as pre‐diabetes (Sorensen et al., 2016), therapeutic strategies could be derived on the basis of DVA examinations. However, if interventions like lifestyle modifications, blood sugar control or medical treatment for example, with antihypertensive agents especially angiotensin‐converting enzyme inhibitors or statins will be beneficial also in hemodialysis patients still has to be evaluated by future research.

A few limitations of the current study have to be addressed: Patients, who took part in the eye examination, were healthier in terms of cardiovascular comorbidity and cognitive impairment compared to those, who underwent cognitive testing only. This is, at least in part, explained by the higher demands of the eye examinations with respect to patients' compliance, which is also supported by the number of examinations, which could not be included in the current analyses due to poor quality (Supplementary Figure 1). Therefore, associations between retinal microcirculatory dysfunction and cognitive impairment probably have been underestimated in the current cohort especially regarding the relationship between DVA and global cognition assessed by the MoCA score. Furthermore, our results might also be attenuated, because data acquisition and thus analysis was limited to patients with mild to moderate cognitive impairment. Patients with advanced stages of cognitive impairment were not included due to their incapacity in providing written informed consent.

Another limitation consists of the cognitive testing instrument applied throughout the study. The MoCA was chosen due to feasibility reasons dictated by the modality of cognitive testing (before dialysis) chosen for the current study. Thus, no detailed neuropsychological test battery and especially no additional tests focusing on the evaluation of executive functions were carried out.

Finally, also DVA as a method to assess retinal microcirculatory function might be considered another limitation: Dialysis treatment and its efficacy have an impact on vessel reaction, since vascular reactivity is influenced by potassium and H⁺ ions (Newman, 2013; Takir et al., 2015). To meet this demand, DVA was strictly carried out under the standardized conditions mentioned above (before dialysis on a midweek dialysis day).

In conclusion, this is the first time that a relationship between parameters of retinal microcirculation and cognitive impairment in hemodialysis patients has been demonstrated. This association supports the supposed pathogenesis of microvascular damage and especially neurovascular uncoupling and microvascular endothelial dysfunction being among the causes for the excessively high prevalence of cognitive impairment in hemodialysis patients.

CONFLICT OF INTEREST

Nothing to report.

Supporting information

Supplementary Material

Angermann, S. , Günthner, R. , Hanssen, H. , Lorenz, G. , Braunisch, M. C. , Steubl, D. , Matschkal, J. , Kemmner, S. , Hausinger, R. , Block, Z. , Haller, B. , Heemann, U. , Kotliar, K. , Grimmer, T. , & Schmaderer, C. (2022). Cognitive impairment and microvascular function in end‐stage renal disease. International Journal of Methods in Psychiatric Research, 31(2), e1909. 10.1002/mpr.1909

DATA AVAILABILITY STATEMENT

The data that supports the findings of this study are available in the supplementary material of this article. Further raw data are available from the corresponding author upon reasonable request.