Skip to main content

Intradialytic neuromuscular electrical stimulation with optional virtual reality distraction improves not only muscle strength and functional capacity but also serum albumin level in haemodialysis patients: a pilot randomized clinical trial

Abstract

Background

Sarcopenia is highly prevalent in haemodialysis (HD) patients and linked to a poor prognosis regarding comorbidities and premature mortality. Previous studies assessed the effects of neuromuscular electrical stimulation in haemodialysis patients. This study adds to the relevance of neuromuscular electrical stimulation (NMES) applications combined with a virtual reality (VR) distraction to increase intensity, dosage, and efficiency of NMES and slow sarcopenia progression in HD patients.

Methods

We conducted a 12-week multicenter prospective randomised controlled trial. The patients were randomly assigned to one of the three groups: neuromuscular electrical stimulation with or without combined virtual reality distraction or control group.

Results

The final analysis included 32 haemodialysis patients (mean age of 68 ± 10 years, 26 men). Interaction effects between groups and time (12 weeks) were significant regarding serum albumin levels (p = 0.008) and left quadriceps femoris muscle (QFM) force (p = 0.026). Both endpoints were increased in the NMES compared to the CO group at the end of the intervention. The NMES group increased serum albumin levels significantly after 12 weeks. The main effect of time was an increase in mean right QFM force between beginning and end of the intervention (p = 0.021). Functional capacity improved after 12 weeks in the NMES and NMES + VR but not in the control group, with a significant difference between the three groups (p = 0.022). Weight and body mass index increased in the NMES and NMES + VR groups, albeit not significantly. The effects of VR distraction on NMES efficiency were inconclusive.

Conclusion

Intradialytic NMES increases serum albumin level, functional capacity, muscle strength in lower limb and in tendency weight and body mass index of HD patients. Effects on VR distraction are inconclusive. Large-scaled follow-up studies on integrated sports programs with NMES and active training in combination with VR as distraction and motivation accelerator are needed.

Trial registration

German Clinical Trial Register: DRKS00029276 (Retrospectively registered: 30/06/2022).

Peer Review reports

Background

As of 2019, over 850 million people worldwide suffered from a chronic renal insufficiency representing over 10% of the global population [1]. In 2010, the number of people requiring dialysis was estimated to range between 4.9–9.7 million [2]. In developed countries, increasing prevalence of arterial hypertension, diabetes mellitus, and an aging population are causing high incidences of chronic renal failure. Improving the prognosis but also the health-related quality of life of this patient group is therefore essential.

Patients on dialysis have a significantly reduced life expectancy compared to the general population. 5-year mortality ranges from 10 to over 80%, depending on age and comorbidities [3].

Sarcopenia defined as loss of skeletal muscle mass and muscle function [4] is caused by various diseases and circumstances such as aging. However, advanced renal insufficiency is also strongly associated with rapidly developing sarcopenia, and this is independent of age [5]. The prevalence of sarcopenia in dialysis patients ranges from 21–68% depending on the diagnostic algorithms applied for differential diagnosis [6, 7]. The mortality rate of sarcopenia among dialysis patients is also increased (adjusted odds ratio: 1.83 (95% CI: 1.40–2.39)) [8]. Sarcopenia implies physical limitation and increases hospitalizations due to falls and immobilization [9, 10] and is also associated with depression [11]. cardiovascular disease [12] and mobility impairments [13]. Protein-energy wasting (PEW) is also related to sarcopenia [14]. It is a maladaptive metabolic state, which can be caused by multiple factors. Some of them can be related to kidney function, others not, e. g. chronic inflammation. Among other things PEW is defined as the loss of body protein mass and energy reserves (i.e., muscle mass and muscle strength) as well as albumin level < 3.8 g/dl in patients with CKD and renal failure [15, 16]. But it should be distinguished from malnutrition as an inadequate intake of nutrients with an intact adaptive metabolic response [17]. This is because PEW or its extreme form, cachexia, is a dysfunctional condition common in inflammatory diseases and resistant to nutritional supplementation [16, 18, 19]. The prevalence is influenced due to different dialysis types, population differences, and assessment tools. Overall, a global meta-analysis found a prevalence of PEW in dialysis patients ranging from 28 to 54% [20]. An increase in serum albumin level over time is associated with better survival in haemodialysis (HD) patients [21, 22].

Due to the immobilization required for dialysis (approx. 4 h, 3 times a week) and the frequently associated comorbidities, physical activity of dialysis patients, including exercise, is markedly reduced and further decreases with time and severity of disease [23,24,25]. The positive effects of intradialytic training therapies, e.g. with regard to the cardiovascular health and health-related quality of life, have already been proven in randomized studies and summarized in meta-analyses [26, 27]. Because of significantly reduced general condition and limited mobility during dialysis, adherence to active training e.g., by using bicycle ergometers is either impossible or refused in these patients. Therefore, the implementation of intradialytic exercises in the clinical practice is limited [28, 29].

Neuromuscular electrical stimulation (NMES) is a form of training in which electrical impulses stimulate nerves and, thus, cause targeted muscles to contract. Hence, NMES training could improve muscle strength and functionality in everyday life in this population. However, laboratory results are inconclusive with respect to serum albumin levels and, thus, improvement of sarcopenia and PEW [30,31,32].

Before starting this pilot study, existing literature showed only the effects of non-immersive virtual reality (VR) training programs, like Nintendo Wii Fit and fully immersive VR programs about mindfulness for HD patients in pilot studies [33]. One limitation of NMES is the innocuous, but unpleasant tingling sensation caused by the current flowing along the limb with related impact on intensity and dose [34,35,36].

Fully immersive VR headsets are already being used as a distraction therapy for pain patients [37, 38]. Specific clinical evidence or guiding principles to what extent the intensity, dosage, and efficiency of NMES training can be optimized by distraction through VR glasses have not been published. Our pilot study was aimed to assess the general clinical potential of intradialytic NMES on sarcopenia, measured by muscle function and clinically relevant laboratory parameters. Additionally, we aimed to evaluate whether VR distraction was able to improve training efficiency. Based on the results of this study, a large-scale multicenter study will be designed.

Methods

Study design

In this randomized controlled pilot trial, we tested the effects of NMES combined with VR distraction in HD patients in the German dialysis care setting in a 12-week long intervention. In addition to muscle strength and structure indicators, we analysed body composition, functional capacity, and serum biochemistry (albumin level) as well as changes in NMES intensity due to VR distraction.

The study was approved by the Ethics Committee of the Klinikum rechts der Isar (MRI), Munich and was performed in accordance with the Declaration of Helsinki guidelines. It was also registered in the German Clinical Trial Register (DRKS00029276 | 30/06/2022). Due to low study participation rates and high dropout rates caused by uncertainties and patient deaths during the SARS-CoV-2 pandemic 2021, the study was recruited in two phases to increase the number of participants. The first 12-week study period was conducted from January 2021 at the Klinikum rechts der Isar, Munich. The second phase from April 2022 at the Kuratorium für Dialyse und Nierentransplantation (KfH) in Munich-Giesing.

Study participants

The inclusion criteria were as follows: age of 18 years or older, haemodialysis duration more than 6 months, signed informed consent and sufficient eyesight. The exclusion criteria included cardiovascular diseases, electrical implants, metallic implants in the treatment area, susceptibility to nausea or dizziness (so-called "motion sickness"), potassium level > 7 mmol/l before intervention, acute infectious diseases (e.g., Covid-19 disease, influenza), alcohol and/or drug dependence (NMES not after alcohol consumption), increased risk of thrombosis and known dementia. Preliminary diagnoses and laboratory chemistry values were reviewed by the medical staff. Any signs of motion sickness were anamnestic and assessed by the medical staff.

Study procedures and training protocol

The eligible patients were randomly assigned to one of the three groups: neuromuscular electrical stimulation (NMES), NMES combined with a VR distraction (NMES + VR) or control (CO) group. Randomization was generated by random.org online software [39].

All patients underwent the standard HD care, but patients in the NMES and NMES + VR group additionally received an intradialytic NMES of the quadriceps femoris muscles (QFM) of both lower extremities using portable 4 channel stimulation STIM-PRO X9 + (Axion, Germany). The training was applied two or three times a week, but in total 60 min a week. NMES characteristics were set up on a frequency of 20 Hz, pulse width of 250 µs and a rhythm of 5 s stimulation and 2s rest. The intensity was individually adjusted in milliampere (mA) and could be determined by the patient’s subjective sensation. Three self-adhesive reusable electrodes (One: 100 × 50 mm, two: 50 × 50 mm) were placed on each of the upper leg (Fig. 1). Patients in the NMES + VR group were distracted from the unpleasant sensation of NMES by the VR headset (Oculus Go, USA). The patients could choose between several VR applications on journey, relaxation, or interactive games. All patients were asked to continue their lifestyle as usual. The training procedures were realized by the trained study assistants and supervised by the medical staff at the MRI and KfH.

Fig. 1
figure 1

Approximate positioning of the electrodes for neuromuscular electrical stimulation of the quadriceps femoris muscle

Endpoints

Baseline questionnaire

The self-created baseline questionnaire included the demographic variables (age, gender, weight, duration on HD, primary disease of dialysis) and three questions on technical interest and physical condition which were rated on a 5-point Likert scale. The written questionnaire was answered by the patient at the time point before starting the interventions (t0). The baseline questionnaire was intended to minimize bias due to demographic variables and the three specific questions between groups.

Muscle strength

Using a digital handheld dynamometer microFET®2 (HOGGAN SCIENTIFIC LLC, USA) the muscle strength in both lower extremities (especially quadriceps femoris muscle (QFM) left and right) was measured by isometric knee extensor strength testing. To perform the measurement, the patient sat upright on a patient couch (approx. 90° angle). The dynamometer was placed on the patient’s lower tibia, near the medial malleolus. The study assistant conducting the strength test held on to the couch to avoid losing balance due to the counterforce of the patient. The patients were asked to hold the maximum muscle effort for approximately 3 s. The patient should keep the shin as straight as possible (Fig. 2) [40]. The test was conducted at t0 and the time point after 12 weeks (t1). To avoid measurement bias, the study assistant was to be identical at t0 and t1. In addition, the measurement was performed three consecutive times and the mean was used. Due to illness, quarantine, and study staff turnover during pandemic the dynamometer tests were partially measured by different persons at t0 and t1. Therefore, there was a gross measurement error in 8 measurements (NMES: n = 5, NMES + VR: n = 2, CO: n = 1). These were excluded from the analysis of the muscle strength endpoints.

Fig. 2
figure 2

Measurement of muscle strength by using a digital handheld dynamometer microFET®2

Muscle circumference

A tape measure was used to determine the location of the greatest circumference of the thigh at t0 and t1 (in centimetres).

Body composition

Weight, fat, water, and muscle proportion were collected using the Beurer BF 185 body scale with bioelectrical impedance analysis (Beurer, Germany) at t0 and t1 after dialysis. We tried to measure at the same day of the week. Due to illness, quarantine, and study staff turnover during pandemic we could not adhere it for every patient. Body mass index (BMI) was calculated based on weight and height.

Functional capacity

To measure the effects of NMES on functional capacity we decided for using the 1-Minute Sit-to-Stand Test (STS-60), because it is a reliable, valid and responsive measurement, especially if space and time are limited, as it was in our pilot study [41]. It was performed using a chair (46–48 cm high) without armrests at t0 and t1. The STS-60 consisted of movements of sitting down and standing as fast as possible without using the arms for 1 min. The patient crossed his arms in front of his body and began in seated position. The maximum number of repetitions were documented.

Serum biochemistry

Blood samples were drawn from the patients at t0 and t1 to measure the serum albumin level, as among others, an independent indicator for loss of muscle mass and PEW [15, 16, 42]. NMES can result in increased levels of creatine kinase (CK). Therefore, blood samples were also drawn from the patients after the first application of NMES as well as for safety reasons at t0 and t1 by the medical staff.

We did the to-/t1-measurements mostly after dialysis. If the t0-tests had to be conducted before dialysis in a few cases, then the t1-test was also conducted before dialysis. Furthermore, due to illness, quarantine, and study staff turnover during pandemic, we were unable to conduct the t0 and t1 tests at the same day, which could have had an influence on the results.

Virtual reality distraction – effects

The patients of the NMES and NMES + VR group rated their subjective feeling on the unpleasant tingling sensation caused by the current along the limb after every intervention on a Visual Analog Scale (VAS). It is a standardized measuring instrument for the evaluation of subjective sensations, such as pain, nausea, or similar. The VAS consists of a straight line with the lowest and highest sensation values at the ends. The patient evaluates his or her sensation in written form with a point value on the line [43]. The VAS ranged from 0 (no unpleasant feeling) to 10 (strong pain). The intensity score of NMES (in mA) was also recorded after every intervention.

Statistical analysis

All data were reported as estimates of arithmetic mean and standard deviation except from ordinal scaled variables and those who violated normal distribution. For these we used the median and interquartile range (IQR). Fisher’s exact test was applied to explore the differences in age and primary disease between the groups. Kruskal–Wallis-Test tested the differences between the groups for the 3 baseline questions and the one-way analysis of variance for the rest of the baseline variables. The effects of the three groups (NMES, NMES + VR, control group) over time (t0 – t1) on the main endpoints was determined by a two-way repeated measures analysis of variance. The main effects of group and time were only reported if there was no significant interaction. If the interaction was significant, the one-way repeated measures analysis of variance in combination with post-hoc-Tests (Tukey-HSD) was used for each simple main effect. All requirements of the statistical tests were considered (e.g., homogeneity of variance by the Levene’s Test). The Mann–Whitney U-test was applied to test whether the intensity and the results of VAS differed between the NMES and NMES + VR groups. If the distributions of the two groups differ according to the Kolmogorov–Smirnov test, the test cannot make a statement about the difference of the medians, but of the average ranks.

Statistical analysis was performed using the IBM SPSS Statistics version 28.0. A value of p < 0.05 was accepted as statistically significant in all applied tests.

Results

A total of 49 HD patients met the inclusion criteria. Before starting the first intervention four patients were excluded because of hospitalization (n = 1) and withdrawal of the informed consent (n = 3). Figure 3 gives the study flow diagram. One patient in the NMES group reported experiencing cramps three times, which caused uncertainty and led to them dropping out of the study. Another patient experienced hip pain unrelated to NMES but decided to discontinue the study. Another dropout resulted because the patient did not feel an effect due to the NMES. Most of the unspecific reasons for dropout could be due to uncertainty about COVID and a lack of willingness to continue.

Fig. 3
figure 3

CONSORT study flow diagram. KfH: Kuratorium für Dialyse und Nierentransplantation in Munich-Giesing; MRI: Klinikum rechts der Isar; n: number; NMES: Neuromuscular electrical stimulation, NMES + VR: Neuromuscular electrical stimulation + virtual reality, CO: control, HD: haemodialysis. Note: For the endpoint muscle strength in total 8 patients (NMES: n = 5, NMES + VR: n = 2, CO: n = 1) were excluded because of a gross measurement error.

The final analysis included 32 patients (12 patients in the NMES, 9 in the NMES + VR and 11 in the CO group) with a mean age of 68 ± 10 years. Most of these patients were men (81.25%). Baseline variables did not differ between groups (Table 1).

Table 1 Main results of the baseline variables

Table 2 gives all results of two-way repeated measures analysis of variancefor the endpoints.

Table 2 Changes in functional capacity, serum biochemistry (albumin level), muscle strength, muscle circumference and body composition

Functional capacity

The main effect of the NMES intervention was a statistically significant difference in the improvement of physical strength. This was evident in the 1-Minute Sit-to-Stand Test. While patients in the NMES and NMES + VR groups increased their numbers of repetitions, the number decreased in the CO group (Table 2).

Serum biochemistry

There was an increase in serum albumin levels in the NMES intervention groups from t0 to t1, while we observed none in the control group. For the NMES group the increase in serum albumin levels were significantly (0.233 ± 0.094 g/dL, p = 0.030) (Table 2).

Muscle strength

There was a statistically significant interaction between the intervention and time on left QFM force (F(2,21) = 4.24, p = 0.026, partial η2 = 0.292). Therefore, simple main effects analysis was run. Left QFM force was statistically significantly greater in the NMES compared to the CO group at t1 (4.83 ± 1.87 kgf, p = 0.044). The main effect of time differed significantly in mean right QFM force at the different time points, F(1,21) = 6.207, p = 0.021, partial η2 = 0.228 (Table 2).

Muscle cicumference

We observed no difference in the development of muscle circumference. The circumference tended to decrease in left as well as right QFM in all groups, except from QFM left in the NMES + VR group (t0: 42.06 ± 2.86 cm vs. t1: 42.89 ± 3.86 cm) (Table 2).

Body composition

Body composition did not change throughout our study. To avoid a Type I error rate due to no homogeneity of variance, two-way repeated measures analysis of variance was not run for the endpoint muscle proportion and interaction effect was not interpreted for the endpoint BMI due to violation of equality test of covariance matrices. Weight and BMI increased in the NMES and NMES + VR groups but decreased in the CO group. Fat proportion decreased in the NMES group by 14.36% from t0 to t1 and increased in the NMES + VR group by 14.92% and CO group by 5.46%. The same tendencies according to the changes from t0 to t1 were observed in water proportion. Muscle proportion was increased in NMES group by 9.94% from t0 to t1 and decreased in the NMES + VR and CO group (Table 2). However, the measurements of fat, water and muscle proportion were limited due to 10 erroneous measurements caused e.g., by foot deformities and limited electrical conductivities.

Effects of VR distraction in combination with NMES

In 98 of the 228 interventions the patients in the NMES + VR group used to wear the VR-headsets, which means an adherece rate of 42.98%. 70.41% of the applications were of the category relaxation, 9.18% of the category interactive games and for 20.41% there was no documentation of the chosen VR applications. There were different reasons for the non-willingness to use the VR-headset. Some patients preferred to watch TV, others were bored with the applications, and others were generally not interested in the VR headset anymore. Nevertheless, the NMES was always performed, even without VR. The values of the VAS and intensity of NMES of the NMES + VR group without VR were assigned to the NMES group accordingly. Therefore, the analysis of the VAS and intensity resulted in two different numbers of interventions in the NMES and NMES + VR groups. A Mann–Whitney U test was applied to test whether the intensity of NMES differed between the NMES and NMES + VR groups. According to the Kolmogorov–Smirnov test, the distributions of the two groups differ from each other (p = 0.002). Therefore, only a statement about the Mean Rank can be made. There was a significant difference between the NMES (Mean Rank = 275.45) and NMES + VR group (Mean Rank = 213.88) (U = 16,109.00, Z = -3.616, p < 0.001). Figure 4 shows the boxplot with the median of both groups. For the evaluation of the VAS, 428 interventions of the NMES group and 98 of the NMES + VR group could be considered in the analysis. The Kolmogrorov-Smirnov test resulted in no distinction of the group distributions (p = 0.650), allowing the test to identify a statement about the difference in medians. The two groups NMES- (4 (IQR: 2–5)) and NMES + VR-group (4 (IQR: 0–6)) did not differ significantly from each other (U = 20,335.00, Z = -0.476, p = 0.634). The median VAS score was 4 in both NMES groups, which means the feeling of "tingling".

Fig. 4
figure 4

Boxplot—Individual intensity (milliampere) of stimulation in each group. Adverse events. mA: milliampere; NMES: Neuromuscular electrical stimulation; NMES + VR: Neuromuscular electrical stimulation + virtual reality. Note: For the evaluation of the VAS, 429 interventions of the NMES group and 98 of the NMES + VR group could be considered in the analysis

One patient, who was included in the final analysis, reported having a one-time cramping feeling in the hip area after NMES. The NMES intensity was subsequently reduced, and no further problems were reported.

Discussion

Sarcopenia in dialysis patients is associated with physical limitations, hospitalizations, and depression. Thus, its onset and progression should be either fully prevented or at least slowed down. This randomized controlled trial design was used to evaluate the effects of intradialytic NMES combined with VR distraction in HD patients over 12 weeks. As far as we know, this study is the first to extend NMES with VR distraction in HD patients and the first in a common German dialysis care setting on this topic.

In this study, NMES significantly increased muscle strength and serum albumin levels.

Consistent with our positive results on functional capacity measured by the increased maximum number of repetitions in both NMES groups during STS-60, other studies also reported an improvement in time needed to perform 10 repetitions Sit-to-Stand Test [34, 44] and maximum number of repetitions during 30 s [45]. However, meta-analysis on the three studies was associated with considerable uncertainty (best estimate NMES improved results on the Sit-to-Stand test with a standardised mean difference of 0.42 (95% CI -0.04 to 0.87)) [30]. Most of the previous studies used the 6-min walk distance [34, 44,45,46,47,48]. The distance improved by a mean of 31 m (95% CI 13 to 49) [30]. We decided for the STS-60 for efficiency reasons. A systematic review summarized literature to the STS-60 and concluded that it is a reliable, valid, and responsive measurement, especially if the space and time are limited [41]. NMES seems to be an effective training to improve functional capacity and could thus reduce functional impairments in daily life.

Albumin levels increased in both NMES groups from t0 to t1 while they decreased in the CO group. These finding are not consistent with previous research [34, 44, 47,48,49,50], which were summarized by a meta-analysis and resulted in no clear effects on albumin (MD -0.04, 95% CI -0.15 to 0.08, I2 = 0, Q = 2.796) [30]. As serum albumin levels are a parameter to determine the sarcopenia status as well as malnutrition, we hypothesize that NMES has a positive effect on serum albumin levels in HD patients and, thus, could impact protein energy wasting and sarcopenia [5, 14,15,16, 42, 51].

In our study, right QFM force increased significantly. The strongest increase was observed in the NMES group followed by NMES + VR and controls. These beneficial effects of NMES on muscle strength in HD-patients are consistent with previous studies [30, 31]. Although we also found a significant interaction effect on the left QFM force in our study, the descriptive analyses showed inconclusive results, especially the reduction of muscle force in the NMES + VR group (t0: 15.75 ± 5.86 kgf vs. t1: 13.74 ± 4.71). The statistical inconclusiveness of Mqf force is probably due to the exclusion of 8 measurements due to the gross measurement error described above.

The circumference of the lower limb was assessed. A tendency to decrease was observed in all groups from t0 to t1, except from left QFM in the NMES + VR group (t0: 42.06 2.086 cm vs. t1: 42.89 ± 3.86 cm).

Previous studies used different methods to assess the muscle architecture such as, magnetic resonance imaging [49], ultrasound [45] and analysis limb circumference and skinfold thickness [34, 44]. Beneficial effects with NMES over the CO group could only be identified by Suzuki et al. by measuring the total muscle cross-sectional area with magnetic resonance imaging [49]. Due to the smaller cross-sectional area of contractile tissue in dialysis patients compared to healthy individuals [30, 49, 52] accurate methods such as MRI seem to be more suitable for further studies related to NMES and HD patients, as Valenzuela et al. have previously noted [30].

NMES had no effect on body composition, but weight and BMI tended to increase in NMES and NMES + VR.

A low BMI in dialysis patients is associated with malnutrition and a catabolic state. Therefore, it is an independent predictive marker for higher mortality, rendering an increasing weight beneficial [51]. The numbers in percentage of fat, water and muscles were incomplete caused by foot deformities and limited electrical conductivities. Simó et al. measured body composition also by the electrical bioimpedance analysis using another body scale and reported no missing data [44]. Nevertheless, this method of measuring body composition has been controversial since measurement differences could result depending on the particular impedance analysers [53]. In our pilot study we decided to use a mobile body scale with bioimpedance analysis which could be easily transported to the respective dialysis centre. For the large-scale follow-up study the measurement method and the quality of the bioimpedance analysis scale needs to be revaluated.

Only one patient reported having a cramping feeling. Therefore, NMES and NMES + VR were not associated with serious adverse events in this study. In contrast to most of the previous studies, our study resulted in a higher dropout rate of 35% (vs. < 15%) [34, 44, 45, 47,48,49,50]. We see this increased drop-out rate most likely caused by the SARS-CoV-2 pandemic, which lead to uncertainties, fears [54, 55] and dropouts due to Covid-19 disease, especially during our phase 1 in 2021.

The effects of the VR distraction regarding the tingling NMES sensation measured by the VAS score and the acceptance of higher intensity levels in the NMES + VR group were inconclusive. All the patients in the NMES + VR group seemed to be bored after some application and therefore did not use the VR headset anymore. In addition to an expanded range of programs, VR applications could be individualized for HD patients (f. e. applications to improve cognitive skills or health literacy in the context of nutrition and activity). VR applications in the context of an intradialytic physical exercise program seem to be effective and feasible [56,57,58]. Therefore, in the context of an integrated intradialytic sports program, VR could also serve as motivation accelerator for HD patients who can do physical exercise. Extensions in the sense of Meta Quest (successor of Oculus Go), could create interactions and entertainment through additional Metaverse-feature.

Although we showed beneficial results of NMES in HD patients, the results of this pilot study so far, are limited due to the relatively small number of patients and short study duration. Furthermore, the study was complemented by a second study phase in 2022 due to low participation and high dropout rates caused by uncertainties and deaths among patients during the 2021 SARS-CoV-2 pandemic in phase 1. The study assistants failed to adhere to the instruction to use the same measurement person for the dynamometer tests at t0 and t1 due to illness and staff changes. Thus, a gross measurement error resulted in 8 cases. Most of the patients of NMES + VR group did not apply the VR headset during every intervention of the 12-weeks. Finally, a selection bias should be considered due to the informed consent as well as the inclusion and exclusion criteria.

The follow-up study should involve a larger sample size and a longer study period to determine long term effects. Regarding the used devices, the body composition measurements should be performed by a higher quality electric bioimpedance analysis scale. Also, errors in dynamometer measurement must be consistently avoided in follow-up studies. As already suggested from Suzuki et a al. [49], further studies should compare the effects on NMES associated with other interventions. Although Dobsak et al. [48] have previously conducted a study on NMES associated with bicycle ergometer and control, this was limited by a small number of patients. VR components could also be added to a larger and methodologically rigorous follow-up study, not only for distraction but also for motivation. The overall goal for future studies of intradialytic trainings should include the option of active training, e.g. on a cycle ergometer, or passive training with NMES, depending on general condition. In fact, not only the training methods have to be investigated, but also human and cost resources in terms of implementation need to be examined so that intradialytic training can be integrated into the daily dialysis routine to maintain muscle strength and function from the onset of dialysis and prevent sarcopenia.

Conclusions

The study results suggest that intradialytic NMES increases (1) functional capacity, (2) serum albumin level, (3) muscle strength in lower limb and (4) weight and BMI of HD patients. (5) Effects on VR distraction are inconclusive and must be proven in further studies. VR applications must be further optimized and expanded. (6) Large-scale follow-up studies on integrated sports programs with NMES and active training in combination with VR as distraction and motivation accelerator are needed. Cost-effectiveness should be evaluated to successfully implement integrated exercise programs in daily dialysis care. However, results strongly suggest to further assess the clinical potential of the combined NMES and VR interventions in HD patients.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BMI:

Body mass index

CK:

Creatine kinase

CO:

Control

HD:

Haemodialysis

IQR:

Interquartile range

KfH:

Kuratorium für Dialyse und Nierentransplantation

mA:

Milliampere

MRI:

Klinikum rechts der Isar

NMES:

Neuromuscular electrical stimulation

NMES + VR:

Neuromuscular electrical stimulation + virtual reality

PEW:

Protein-energy wasting

QFM:

Quadriceps femoris muscles

t0:

time point before starting the interventions

t1:

time point after 12 weeks 

VAS:

Visual Analog Scale

VR:

Virtual reality

References

  1. Jager KJ, Kovesdy C, Langham R, Rosenberg M, Jha V, et al. A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. Kidney Int. 2019;96:1048–50. https://doi.org/10.1016/j.kint.2019.07.012.

    Article  PubMed  Google Scholar 

  2. Liyanage T, Ninomiya T, Jha V, Neal B, Patrice HM, et al. Worldwide access to treatment for end-stage kidney disease: a systematic review. Lancet. 2015;385:1975–82. https://doi.org/10.1016/S0140-6736(14)61601-9.

    Article  PubMed  Google Scholar 

  3. Hämodialyse BJ. In: Kuhlmann U, Böhler J, Luft FC, Kunzendorf U, Alscher MD, editors. Nephrologie: Pathophysiologie, Klinik, Nierenersatzverfahren. Stuttgart, New York: Georg Thieme Verlag; 2015. p. 671–711.

    Google Scholar 

  4. Ferrari U, Drey M. Die aktuelle Sarkopenie-Definition. DMW (1946). 2020;145:1315–9. https://doi.org/10.1055/a-0986-2818.

    Article  Google Scholar 

  5. Mori K, Nishide K, Okuno S, Shoji T. Impact of diabetes on sarcopenia and mortality in patients undergoing hemodialysis. BMC Nephrol. 2019;20:105.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Slee A, McKeaveney C, Adamson G, Devenport A, Farrington K, et al. Estimating the Prevalence of Muscle Wasting, Weakness, and Sarcopenia in Hemodialysis Patients. J Ren Nutr. 2020;30:313–21. https://doi.org/10.1053/j.jrn.2019.09.004.

    Article  PubMed  Google Scholar 

  7. Shu X, Lin T, Wang H, Zhao Y, Jiang T, et al. Diagnosis, prevalence, and mortality of sarcopenia in dialysis patients: a systematic review and meta-analysis. J Cachexia Sarcopenia Muscle. 2022;13:145–58. https://doi.org/10.1002/jcsm.12890.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Wathanavasin W, Banjongjit A, Avihingsanon Y, Praditpornsilpa K, Tungsanga K, et al. Prevalence of sarcopenia and its impact on cardiovascular events and mortality among dialysis patients: a systematic review and meta-analysis. Nutrients. 2022;14:4077. https://doi.org/10.3390/nu14194077.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Schaap LA, van Schoor NM, Lips P, Visser M. Associations of sarcopenia definitions, and their components, with the incidence of recurrent falling and fractures: the longitudinal aging study Amsterdam. J Gerontol A Biol Sci Med Sci. 2018;73:1199–204. https://doi.org/10.1093/gerona/glx245.

    Article  PubMed  Google Scholar 

  10. Bischoff-Ferrari HA, Orav JE, Kanis JA, Rizzoli R, Schlögl M, et al. Comparative performance of current definitions of sarcopenia against the prospective incidence of falls among community-dwelling seniors age 65 and older. Osteoporos Int. 2015;26:2793–802. https://doi.org/10.1007/s00198-015-3194-y.

    Article  CAS  PubMed  Google Scholar 

  11. Chang K-V, Hsu T-H, Wu WT, Huang KC, Han DS. Is sarcopenia associated with depression? A systematic review and meta-analysis of observational studies. Age Ageing. 2017;46:738–46. https://doi.org/10.1093/ageing/afx094.

    Article  PubMed  Google Scholar 

  12. Bahat G, İlhan B. Sarcopenia and the cardiometabolic syndrome: a narrative review. Eur Geriatr Med. 2016;7:220–3. https://doi.org/10.1016/j.eurger.2015.12.012.

    Article  Google Scholar 

  13. Morley J E; Abbatecola A M; Argiles J M; Baracos V; Bauer J, et al. Sarcopenia with limited mobility: an international consensus. J Am Med Dir Assoc. 2011;12 :403–09. https://doi.org/10.1016/j.jamda.2011.04.014.

  14. Mori K. Maintenance of skeletal muscle to counteract sarcopenia in patients with advanced chronic kidney disease and especially those undergoing hemodialysis. Nutrients. 2021;13:1538. https://doi.org/10.3390/nu13051538.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Fouque D, Kalantar-Zadeh K, Kopple J, Cano N, Chauveau P, et al. A proposed nomenclature and diagnostic criteria for protein–energy wasting in acute and chronic kidney disease. Kidney Int. 2088;73:391–8. https://doi.org/10.1038/sj.ki.5002585.

    Article  CAS  Google Scholar 

  16. Velasquez M T, Andrews S C, Raj DS. Protein Energy Metabolism in Chronic Kidney Disease. Chro Ren Dis. 2020;225–48. https://doi.org/10.1016/B978-0-12-815876-0.00016-4.

  17. Stenvinkel P, Heimbürger O, Lindholm B. Wasting, but not malnutrition, predicts cardiovascular mortality in end-stage renal disease. Nephrol Dial Transplant. 2004;19:2181–3. https://doi.org/10.1093/ndt/gfh296.

    Article  PubMed  Google Scholar 

  18. Carrero JJ, Stenvinkel P, Cuppari L, Ikizler TA, Kalantar-Zadeh K, et al. Etiology of the protein-energy wasting syndrome in chronic kidney disease: a consensus statement from the International Society of Renal Nutrition and Metabolism (ISRNM). J Ren Nutr. 2013;23:77–90. https://doi.org/10.1053/j.jrn.2013.01.001.

    Article  PubMed  Google Scholar 

  19. Hanna RM, Ghobry L, Wassef O, Rhee CM, Kalantar-Zadeh K. A practical approach to nutrition, protein-energy wasting, sarcopenia, and cachexia in patients with chronic kidney disease. Blood Purif. 2020;49:202–11. https://doi.org/10.1159/000504240.

    Article  CAS  PubMed  Google Scholar 

  20. Carrero JJ, Thomas F, Nagy K, Arogundade F, Avesani C, et al. Global prevalence of protein-energy wasting in kidney disease: a meta-analysis of contemporary observational studies from the international society of renal nutrition and metabolism. J Ren Nutr. 2018;28:380–92. https://doi.org/10.1053/j.jrn.2018.08.006.

    Article  PubMed  Google Scholar 

  21. Chen C, Zhang , Zhou Z, Liu , Li C, et al. Impact of serum albumin level and variability on short-term cardiovascular-related and all-cause mortality in patients on maintenance hemodialysis. Medicine (Baltimore). 2021;100:e27666. https://doi.org/10.1097/md.0000000000027666.

  22. Klantar-Zadeh K, Kilpatrick RD, Kuwae N, McAllister CJ, Alcorn H, et al. Revisiting mortality predictability of serum albumin in the dialysis population: time dependency, longitudinal changes and population-attributable fraction. Nephrol Dial Transplant. 2005;20:1880–8. https://doi.org/10.1093/ndt/gfh941.

    Article  Google Scholar 

  23. Johansen KL, Chertow GM, Ng AV, Mulligan K, Carey S, et al. Physical activity levels in patients on hemodialysis and healthy sedentary controls. Kidney Int. 2000;57:2564–70. https://doi.org/10.1046/j.1523-1755.2000.00116.x.

    Article  CAS  PubMed  Google Scholar 

  24. Zelle DM, Klaassen G, van Adrichem E, Bakker SJL, Corpeleijn E, et al. Physical inactivity: a risk factor and target for intervention in renal care. Nat Rev Nephrol. 2017;13:152–68. https://doi.org/10.1038/nrneph.2016.187.

    Article  PubMed  Google Scholar 

  25. Avesani CM, Trolonge S, Deléaval P, Baria F, Mafra D, et al. Physical activity and energy expenditure in haemodialysis patients: an international survey. NDT. 2012;27:2430–4. https://doi.org/10.1093/ndt/gfr692.

    Article  PubMed  Google Scholar 

  26. Bündchen DC, Sousa H, Afreixo V, Frontini R, Ribeiro O, et al. Intradialytic exercise in end-stage renal disease: An umbrella review of systematic reviews and/or meta-analytical studies. Clin Rehabil. 2021;35:812–28. https://doi.org/10.1177/0269215520986784.

    Article  PubMed  Google Scholar 

  27. Ferrari F, Helal L, Dipp T, Soares D, Soldatelli A, et al. Intradialytic training in patients with end-stage renal disease: a systematic review and meta-analysis of randomized clinical trials assessing the effects of five different training interventions. J Nephrol. 2020;33:251–66. https://doi.org/10.1007/s40620-019-00687-y.

    Article  PubMed  Google Scholar 

  28. Wilund KR, Viana JL, Perez LM. A critical review of exercise training in hemodialysis patients: personalized activity prescriptions are needed. Exerc Sport Sci Rev. 2020;48:28–39. https://doi.org/10.1249/jes.0000000000000209.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Wilund KR, Thompson SV, João L, Wang AYM. Physical activity and health in chronic kidney disease. Contrib Nephrol. 2021;199:43–55. https://doi.org/10.1159/000517696.

    Article  PubMed  Google Scholar 

  30. Valenzuela PL, Morales JS, Ruilope LM, De la Villa P, Santos-Lozano A, et al. Intradialytic neuromuscular electrical stimulation improves functional capacity and muscle strength in people receiving haemodialysis: a systematic review. J Physiother. 2020;66:89–96. https://doi.org/10.1016/j.jphys.2020.03.006.

    Article  PubMed  Google Scholar 

  31. Schardong J, Stein C, Plentz DM, R. Neuromuscular electrical stimulation in chronic kidney failure: a systematic review and meta-analysis. Arch Phys Med Rehabil. 2020;101:700–11. https://doi.org/10.1016/j.apmr.2019.11.008.

    Article  PubMed  Google Scholar 

  32. Zampieri S, Mosole S, Löfler S, Fruhmann H, Burggraf S, et al. Physical exercise in Aging: Nine weeks of leg press or electrical stimulation training in 70 years old sedentary elderly people. Eur J Transl Myol. 2015;25:237–42. https://doi.org/10.4081/ejtm.2015.5374.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Omonaiye O, Smyth W, Nagle C. Impact of virtual reality interventions on haemodialysis patients: A scoping review. J Ren Care. 2021;47:193–207. https://doi.org/10.1111/jorc.12362.

    Article  PubMed  Google Scholar 

  34. Simó V-E, Jiménez AJ, Oliveira JC, Guzmán FM, Nicolás MF, et al. Efficacy of neuromuscular electrostimulation intervention to improve physical function in haemodialysis patients. Int Urol Nephrol. 2015;47:1709–17. https://doi.org/10.1007/s11255-015-1072-3.

    Article  CAS  PubMed  Google Scholar 

  35. Heidland A, Fazeli G, Klassen A, Sebekova K, Hennemann H, et al. Neuromuscular electrostimulation techniques: historical aspects and current possibilities in treatment of pain and muscle waisting. Clin Nephrol. 2013;79(suppl 1):S12-23. https://doi.org/10.5414/CNX77S106.

    Article  PubMed  Google Scholar 

  36. Insausti-Delgado A, López-Larraz E, Omedes J, Ramos-Murguialday A. Intensity and Dose of Neuromuscular Electrical Stimulation Influence Sensorimotor Cortical Excitability. Front Neurosci. 2021;14.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Wiederhold BK, Soomro A, Riva G, Wiederhold MD. Future directions: advances and implications of virtual environments designed for pain management. Cyberpsychol Behav Soc Netw. 2014;17:414–22. https://doi.org/10.1089/cyber.2014.0197.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Kipping B, Rodger S, Miller K, Kimble RM. Virtual reality for acute pain reduction in adolescents undergoing burn wound care: a prospective randomized controlled trial. Burns. 2012;38:650–7. https://doi.org/10.1016/j.burns.2011.11.010.

    Article  PubMed  Google Scholar 

  39. Haahr M, Haahr S. RANDOM.ORG - True Random Number Service. https://www.random.org/. Accessed 12 Dec 2022.

  40. HOGGAN SCIENTIFIC LLC: Muscle testing postions. https://hogganscientific.com/wp-content/uploads/2019/06/HogganScientific-MuscleTestingPositions-11x17-Poster.pdf (2020). Accessed 24 Jun 2023.

  41. Bohannon RW, Crouch R. 1-Minute Sit-to-Stand Test: systematic review of procedures, performance, and clinimetric properties. J Cardiopulm Rehabil Prev. 2019;39:2–8. https://doi.org/10.1097/hcr.0000000000000336.

    Article  PubMed  Google Scholar 

  42. Kaysen G A. Serum albumin concentration in dialysis patients: Why does it remain resistant to therapy?. 2003;87:92–8. https://doi.org/10.1046/j.1523-1755.64.s87.14.x.

  43. Schomacher J. Gütekriterien der visuellen Analogskala zur Schmerzbewertung. Physioscience. 2008;4:125–33. https://doi.org/10.1055/s-2008-1027685.

  44. Simó VE, Carneiro J, Moreno F, Garriga S, Pou M, et al. The effect of neuromuscular electrical stimulation on muscle strength, functional capacity and body composition in haemodialysis patients. Nefrologia. 2017;37:68–77. https://doi.org/10.1016/j.nefro.2016.05.010.

    Article  Google Scholar 

  45. Schardong J, Dipp T, Bozzeto CB, Godoy da Silva M, Baldissera GL, et al. Effects of Intradialytic Neuromuscular Electrical Stimulation on Strength and Muscle Architecture in Patients With Chronic Kidney Failure Randomized Clinical Trial. Artif Organs. 2017;41:1049–58. https://doi.org/10.1111/aor.12886.

    Article  PubMed  Google Scholar 

  46. Schardong J, Brito V, Dipp T, Macagnan FE, Saffi J, Méa Plentz RD. Intradialytic neuromuscular electrical stimulation reduces DNA damage in chronic kidney failure patients: a randomized controlled trial. Biomarkers. 2018;23:495–501. https://doi.org/10.1080/1354750x.2018.1452049.

    Article  CAS  PubMed  Google Scholar 

  47. Roxo RS, Xavier VB, Miorin LA, Magalhães AO, Dos Dantos Sens YA, et al. Impact of neuromuscular electrical stimulation on functional capacity of patients with chronic kidney disease on hemodialysis. J Bras Nefrol. 2016;38:344–50. https://doi.org/10.5935/0101-2800.20160052.

    Article  PubMed  Google Scholar 

  48. Dobsak P, Homolka P, Svojanovsky J, Reichertova A, Soucek M, et al. Intra-dialytic electrostimulation of leg extensors may improve exercise tolerance and quality of life in hemodialyzed patients. Artif Organs. 2012;36:71–8. https://doi.org/10.1111/j.1525-1594.2011.01302.x.

    Article  PubMed  Google Scholar 

  49. Suzuki T, Ikeda M, Minami M, Matayoshi Y, Nakao M, et al. Beneficial effect of intradialytic electrical muscle stimulation in hemodialysis patients: a randomized controlled trial. Artif Organs. 2018;42:899–910. https://doi.org/10.1111/aor.13161.

    Article  PubMed  Google Scholar 

  50. Miura M, Hirayama A, Oowada S, Nishida A, Saito C, et al. Effects of electrical stimulation on muscle power and biochemical markers during hemodialysis in elderly patients: a pilot randomized clinical trial. Ren Replace Ther. 2018;4:33. https://doi.org/10.1186/s41100-018-0174-7.

    Article  Google Scholar 

  51. Kopple JD, Zhu X, Lew NL, Lowrie EG. Body weight-for-height relationships predict mortality in maintenance hemodialysis patients. Kidney Int. 1999;46:1136–48. https://doi.org/10.1046/j.1523-1755.1999.00615.x.

    Article  Google Scholar 

  52. Johansen KL, Shubert T, Doyle J, Soher B, Sakkas  GK, Kent-Braun JA. Muscle atrophy in patients receiving hemodialysis: Effects on muscle strength muscle quality and physical function. Kidney Int.  2003;63(1) 291-297. https://doi.org/10.1046/j.1523-1755.2003.00704.x.

  53. Ward LC. Bioelectrical impedance analysis for body composition assessment: reflections on accuracy, clinical utility, and standardisation. Eur J Clin Nutr. 2019;73:194–9. https://doi.org/10.1038/s41430-018-0335-3.

    Article  PubMed  Google Scholar 

  54. Patel MP, Kute VB, Prasad N, Agarwal SK. COVID 19 and Hemodialysis Anxiety. Indian J Nephrol. 2020;30:174–5.10.4103%2Fijn.IJN_203_20.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Hoxha E, Suling A, Turner JE, Haubitz M, Floege J, et al. COVID-19 prevalence and mortality in chronic dialysis patients. Dtsch Arztebl Int. 2021;118:195–6. https://doi.org/10.3238/arztebl.m2021.0160.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Segura-Ortí E, García-Testal A. Intradialytic virtual reality exercise: Increasing physical activity through technology. Semin Dial. 2019;32:331–5. https://doi.org/10.1111/sdi.12788.

    Article  PubMed  Google Scholar 

  57. Maynard LG, Menezes DL de, Lião NS, Mendonça de Jesus E, Andrade NLS, et al. Effects of Exercise Training Combined with Virtual Reality in Functionality and Health-Related Quality of Life of Patients on Hemodialysis. Games Health J. 2019;8:339–48. https://doi.org/10.1089/g4h.2018.0066.

    Article  PubMed  Google Scholar 

  58. Yangöz ŞT, Turan Kavradım S, Özer Z. The effects of virtual reality-based exercise in adults receiving haemodialysis treatment: A systematic review and meta-analysis of randomized controlled studies. Appl Psychol Health Well Being. 2022;1:1–36. https://doi.org/10.1111/aphw.12426.

    Article  Google Scholar 

Download references

Acknowledgements

We are grateful for the support of our patients, healthcare workers of Klinikum rechts der Isar and Kuratorium and Kuratorium für Dialyse und Nierentransplantation as well as our study assistance Alina Simon, Anella Tomasevic, Esra Islertas, Melanie Mayr, and Sara Gerhardt.

Funding

Open Access funding enabled and organized by Projekt DEAL. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

LS, LH, KN, UH and CS contributed to the conception and design of the study. LH, CK and JS contributed to the acquisition. LS conducted the statistical analysis and wrote the draft of the manuscript with LH. All authors reviewed and approved the final manuscript.

Corresponding authors

Correspondence to Lena Schinner or Liya Hannemann.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ethics Committee of the Klinikum rechts der Isar (MRI), Munich and was performed in accordance with the Declaration of Helsinki guidelines. Informed consents were obtained from all human research subjects for participation in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schinner, L., Nagels, K., Scherf, J. et al. Intradialytic neuromuscular electrical stimulation with optional virtual reality distraction improves not only muscle strength and functional capacity but also serum albumin level in haemodialysis patients: a pilot randomized clinical trial. BMC Nephrol 24, 246 (2023). https://doi.org/10.1186/s12882-023-03283-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12882-023-03283-2

Keywords