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PLOS One logoLink to PLOS One
. 2025 Jul 31;20(7):e0328757. doi: 10.1371/journal.pone.0328757

Oral creatine in hemodialysis patients increases physical functional capacity and muscle mass, an open label study

Waldo Bernales-Delmon 1,2,*, Simón Schulz 3, Iván Guglielmi 4, Cynthia Saravia 4, Yasna Venegas 4, Jaime Joost 5, José Aguilar 5, Andrés Wulf 2, Paulina Bittner 2, María Claudia Martínez 2, Sandy Gómez 2, Catalina Chávez 2, Juan John 2, Felipe Matus 2, Carla Basualto-Alarcón 4,6,7,¤,*
Editor: Diego A Bonilla,8
PMCID: PMC12312878  PMID: 40743209

Abstract

Background and hypothesis

Individuals undergoing chronic hemodialysis represent a population with high morbidity and mortality, primarily due to poor nutritional status, chronic inflammation, and cardiovascular disease. However, additional factors, such as low physical activity and impaired functionality, have also been identified as directly associated with increased mortality.

Main objective

This study was conceived as a pilot study to investigate whether creatine supplementation (5g/day) for eight weeks could provide benefits in terms of physical functionality, handgrip and body composition in a group of adult patients on chronic hemodialysis. On dialysis days, creatine was administered immediately post-dialysis, while on non-dialysis days, patients took the supplement at home. Measurements were taken using bioimpedance analysis, handgrip strength (via dynamometry), and the Short Physical Performance Battery (SPPB), both before starting creatine supplementation and at week 8 of treatment.

Results

After performing robust statistical analysis, following creatine supplementation, an increase in SPPB scores was observed, with a mean improvement of 0.78 points [95% CI: 0.17–1.44] and an effect size of 0.53. Skeletal muscle mass increased by an average of 1.31 kg [95% CI: 0.55 to 2.23], with an effect size of 0.66. Fat-free mass showed a mean increase of 2.11 kg [95% CI: 0.75 to 3.58] with an effect size of 0.64, while phase angle rose by 0.52 degrees [95% CI: 0.27 to 0.76], corresponding to an effect size of 0.90. Regarding volumetric estimates, total body water increased by 1.17 L [95% CI: 0.26 to 2.13] with an effect size of 0.54, and intracellular water increased by 0.97 L [95% CI: 0.48 to 1.51] with an effect size of 0.81. No significant differences were observed in extracellular water with change of 0.20 L [95% CI: −0.30 to 0.70] or handgrip strength with an increment of 0.67 kgF, [95% CI: −0.67 to 2.11].

Conclusion

Oral creatine supplementation in HD patients for eight weeks improved muscular and functional outcomes and may be proposed as a strategy to mitigate the elevated morbidity observed in this group of patients.

Introduction

Chronic kidney disease (CKD) is a significant cause of mortality worldwide [1]. In its most advanced stage (stage 5), CKD patients require extracorporeal support therapies such as hemodialysis (HD) [2]. This group of individuals on dialysis represents a particularly vulnerable population, exhibiting higher morbidity and mortality rates when compared to the general population [3]. Among the most well-known determinants of this unfavorable outcome are: the presence of multiple comorbidities, chronic inflammation, anemia, protein-energy-wasting, and a significant burden of cardiovascular disease [4,5]. However, other determinants are often overlooked, such as low functionality, (with a prevalence of approximately 50% in this population) [6], and decreased physical activity [7], both of which are strongly related to dependence and mortality [8,9]. In the general population, multiple studies have linked creatine supplementation to increased strength and performance in association to exercise [10,11]. In patients with kidney disease, especially in its most advanced stage, the use of creatine has been less studied. Specifically in the hemodialysis population, studies have revealed increased creatine losses during dialysis sessions, primarily from intracellular reserves. At the same time, low creatine levels have been related with increased fatigability, reduced muscle mass, hypoalbuminemia, and low protein intake [12,13]. Following this hypothesis, some pilot studies on intradialytic creatine supplementation have been designed, but no results have been reported to date [14].

Therefore, the objective of this pilot research was to determine whether oral creatine supplementation improves physical functional performance and muscle mass in a convenience sample of adults dialysis patients, measured before and after creatine supplementation for eight weeks.

Materials and methods

Trial design

This is an open label single-arm repeated-measures feasibility clinical trial.

Patient selection

A convenience sampling of patients at “Hospital de Puerto Aysén Hemodialysis Unit” was initially recruited for this pilot study, primarily based on their good adherence to pharmacological and dialysis therapy. Patient recruitment began on October 9th and concluded on October 30st, 2023.

Efforts were made to ensure that the average age of the selected group matched the overall average age of all patients attending therapy in the unit.

The remaining inclusion criteria were the following: 18 years or older, having started dialysis at least three months before the start of supplementation, not being on any formal exercise program and not using any nutritional supplement. Individuals with pacemakers or any type of metal prosthesis were excluded. All the recruited patients received creatine supplementation. They were measured before (pre‐) and after (post‐) receiving creatine supplementation.

Interventions procedures

Creatine supplementation.

For creatine supplementation, we administered 5 g/day of Creapure™ monohydrate creatine powder, dissolved in 100 milliliters of water. On dialysis days, the supplementation was provided immediately after the session. On non-dialysis days, the 5 g dose of creatine powder was dispensed in pre-prepared containers by the dialysis unit nutritionist, and each patient received instructions on how to prepare the supplement at home using 100 milliliters of water. All patients were aware that they were receiving creatine, and all of them received continuous creatine supplementation for eight weeks.

Outcomes.

Primary outcome:

To compare the physical performance status of selected patients, as assessed by the Short Physical Performance Battery (SPPB), before and after eight weeks of creatine supplementation.

Secondary outcomes:

To compare changes in muscle strength, measured using a hand dynamometer, and changes in body composition, estimated by bioimpedance analysis (fat free mass, skeletal muscle mass, total body water, extracellular water, and intracellular water). Additionally, to evaluate changes in phase angle.

All comparisons were made before and after eight weeks of creatine supplementation.

Laboratory tests

The laboratory tests included in the analysis were part of the routine monthly examinations performed on all patients enrolled in our units hemodialysis program. These tests are conducted at the beginning of each month, specifically pre- and post-dialysis during the mid-week session, in accordance with international guidelines [15].

For this study, we analyzed levels of calcium, phosphorus, blood urea nitrogen, hematocrit, albumin, serum creatinine, and vitamin D. The Kt/V was calculated using the second-generation Daugirdas formula [16], and the normalized protein catabolic rate (nPCR) was calculated using the following formula [17]:

nPCR=0.0136 x (KtVx  (predialysis BUN + postdialysis BUN2)) +0.251  

Pre-supplementation laboratory tests were conducted one week before the initiation of creatine supplementation. The second round of tests were conducted during supplementation, specifically finishing week eight.

Biochemical analyses were performed using the ARCHITECT ci4100 analyzer (Abbott), and hematological analyses were conducted using the CELL-DYN Ruby analyzer (Abbott).

Bioimpedance analysis

Measurements were taken using the SECA 525™ bioimpedance analyzer, following the manufacturers instructions. Electrodes were placed on both hands and both feet. Measurements were conducted in the morning after the second dialysis session of the week. Thus, for patients undergoing dialysis on Mondays, Wednesdays, and Fridays, measurements were taken on Thursday, while for those dialyzed on Tuesdays, Thursdays, and Saturdays, measurements were conducted on Friday. The same schedule was followed for both pre- and post-supplementation measurements. All assessments were conducted in a fasting state, with participants advised to refrain from strenuous exercise for at least two hours beforehand. Notably, all measurements were obtained in the early morning hours, prior to 10:00 a.m.

The analyzed variables included total body water, extracellular water, intracellular water (calculated by subtracting extracellular water from total body water), skeletal muscle mass, fat-free mass, and phase angle. Phase angle is a parameter related to quantity and quality of soft tissues, with higher values reflecting greater cellularity, improved cellular integrity, and enhanced cellular functionality [1820]. The only variable calculated by the investigators was intracellular water; all other variables were directly provided by the bioimpedance device.

Functional and strength tests

Functional performance was assessed using the Short Physical Performance Battery (SPPB), which comprises three sections scored separately on a scale from 0 to 4 points. The first section evaluates balance, the second assesses gait speed, and the third measures the ability to stand up and sit down from a chair five times without using the arms. Each section has a maximum score of 4 points, with the overall score ranging from 0 to 12 [21].

For handgrip strength measurement, three grip strength attempts were conducted on each hand using a hydraulic hand dynamometer (Baseline Lite™), with a one-minute rest between attempts. The highest value of the three measurements, regardless of whether the stronger hand was on the same side of the fistula, was used for analysis.

Both the SPPB and strength tests were performed and supervised by two physical therapists from the hospitals rehabilitation and exercise team, where the dialysis unit is located. These measurements were conducted on the same day, immediately following the bioimpedance analysis.

Dry weight was clinically estimated based primarily on physical examination, blood pressure values, and patient-reported symptoms.

Sample size calculation

Due to the lack of studies investigating changes in SPPB with creatine supplementation in dialysis patients, we relied on data from studies examining the effects of exercise on this population and the corresponding changes in SPPB scores. Based on these studies, we considered a conservative effect size of 0.6 [22]. Therefore, the required sample size for a two-tailed test comparing means in two dependent samples, with an alpha level of 0.05, a power of 0.8, and an effect size of 0.6, was 25 patients. Due to the restricted number of dialysis patients in our unit (n: 56), we were only able to approach the calculated sample size (more details in the results section). The size calculation was made using G*POWER 3.1 software.

Data analysis procedures

In order to mitigate the limitations of not reaching our calculated sample size we decided to analyze our data by using a robust statistics approach. This methodology is less sensitive to sample size, outliers or deviations from idealized statistical models, thus allowing for more reliable results.

To determine whether there were differences in the variables after creatine supplementation, we estimated the mean differences between before and after the intervention using a bootstrap analysis with 10,000 resample. This method was used to detect statistically significant changes in variables related to both the primary and secondary outcomes, as well as in exploratory variables obtained from laboratory tests performed on the participants. Results are presented as mean differences, standard deviations of those differences, and 95% confidence intervals. For the primary and secondary outcome variables, effect sizes were also calculated using Hedges’ g, which is considered more appropriate than Cohen’s d for small sample sizes (n < 20) [23]. Categorical variables are shown as raw number and percentage. Continuous variables are shown as mean and standard deviation (SD).

All statistical analyses and figures were conducted using R 4.5.0 and Jamovi desktop v2.6.26

Ethics committee

The research protocol was approved by the local ethics committee under Ordinance Number 25, dated October 2nd, 2023. The ethics committee is part of the Servicio de Salud Aysén del General Carlos Ibáñez del Campo.

All participants provided written informed consent.

Results

Baseline characteristics

Out of a total of fifty-six patients in our dialysis unit, we were initially able to recruit only nineteen. This limitation was due to a high percentage of patients experiencing difficulties with independent mobility, which prevented them from completing the SPPB test. Additionally, some patients lacked a strong support network at home, making it impossible to ensure consistent creatine use, while others demonstrated poor adherence to their pharmacological therapy. From this initial selection, we had to withdraw one patient because he failed to attend measurements on the scheduled dates and didn't follow creatine supplementation instructions. Of the remaining eighteen patients nine (50%) were female, the participants mean age was 59.3 years (11.6), and an average dialysis vintage of 61 months (78.9) (Table 1). The majority of patients, twelve (66%), were undergoing high-flux hemodialysis, while six (33%) were on online hemodiafiltration, with each patient maintaining their respective modality throughout the intervention period.

Table 1. Participant’s clinical characteristics.

Characteristic Pre (n = 18) Post (n = 18) [95% CI]1
Women, n (%) 9 (50%) ---
Age, years 59.3 (11.6) ---
Dialysis Vintage, months 61 (78.9) ---
Renal Replacement Therapy Modality, n (%)
 High Flux Hemodialysis 12 (66.6%) ---
 Hemodiafiltration 6 (33.3%) ---
Comorbidities, n (%)
 Hypertension 16 (88.8%) ---
 Diabetes 10 (52.6%) ---
 Vascular disease # 3 (15.7%) ---
Vascular Access, n (%)
 AVF 14 (73.6%) ---
 AVG 1 (11.1%) ---
 Tunneled CVC 3 (15.7%) ---
Diuresis < 0.2 L/day, n (%) 10 (57.8%) ---
Hematocrit % 35.7 (4.0) 33.3 (4.4) [-5.12 to 0.98]
Calcium mg/dL 7.9 (0.6) 8.1 (0.6) [-0.22 to 0.42]
Phosphorus mg/dL 4.9 (1.8) 4.9 (1.0) [-0.62 to 0.71]
Blood Urea Nitrogen mg/dL 65.9 (18.9) 70.3 (16.0) [-4.44 to 12.83]
Creatinine mg/dL 8.5 (2.3) 10.5 (2.6) [1.45 to 2.56]*
Vitamin D ng/mL 22.4 (10.5) 30.8 (10.8) [1.11 to 12.98]*
Serum Albumin g/dL 3.8 (0.29) 3.7 (0.25) [-0.27 to 0.04]
nPCR g/kg/day 1.2 (0.32) 1.2 (0.25) [-0.10 to 0.16]
Dialysis Dose, Kt/V single pool 1.65 (0.28) 1.69 (0.34) [-0.06 to 0.18]
Stature meters 1.56 (0.09) ---
Dry Weight kg 76.2 (11.7) 76.1 (12.7) [-1.89 to 1.61]

195% confidence interval based on 10 000 bootstrap replicates of the pre–post differences.

*Statistically significant at 5% level.

#Coronary artery disease, peripheral vascular disease or stroke; AVF: arteriovenous fistula; AVG: arteriovenous graft; CVC: central venous catheter. Categorical variables are shown as raw number and percentage. Continuous variables are shown as mean and standard deviation (SD).

Regarding underlying pathologies, sixteen (88%) patients were diagnosed with arterial hypertension, ten (52.6%) were diabetic, and three (15.7%) presented with vascular disease, defined as a history of coronary heart disease, cerebrovascular accident, or peripheral arterial occlusive disease. In terms of vascular access, fourteen (73.6%) patients had native arteriovenous fistulas, one (11.1%) had a prosthetic arteriovenous fistula, and three (15.7%) had tunneled venous catheters. Notably, ten (57.8%) patients exhibited diuresis of less than 0.2 liters per day. The dietary intake or physical activity were not recorded during the study. Throughout the course of the trial, all patients received the same routine nutritional counseling as the other patients in the dialysis unit. This counseling was provided by the units permanent staff dietitian who also looked after creatine negative side effects; patients did not report to experience neither bloating or nausea. Also there was no interdialytic weight gain due to changes in water volume.

The laboratory examination results described in Table 1 did not demonstrate significant variations pre- and post-creatine supplementation, with the exception of serum creatinine levels, which increased by 2.01 mg/dL ± 1.19 [95% CI: 1.45 to 2.56] following supplementation, and vitamin D levels, which were higher by 6.63 ng/ml ± 12.9 [95% CI: 1.11 to 12.98] in the post-creatine supplementation measurement. It is important to consider that patients were supplemented with vitamin D as part of the standard treatment for dialysis patients, and that pre-supplementation measurements were conducted in winter, while post-intervention measurements were performed during the summer period.

Indicators of dialysis adequacy and therapy remained stable following creatine supplementation. The single-pool Kt/V showed a mean change of 0.04 ± 0.30 [95% CI: −0.06 to 0.18], while dry weight exhibited a non-significant mean change of 0.09 kg ± 3.9 [95% CI: −1.89 to 1.61]. Nutritional indicators, such as nPCR, which showed a mean change of −0.04 ± 0.3 [95% CI: −0.10 to 0.16], and serum albumin, with a mean change of 0.14 mg/dL ± 0.3 [95% CI: −0.27 to 0.04], also remained unchanged between the pre- and post-intervention assessments.

Functionality and muscle mass improve following creatine supplementation

The application of the SPPB test objectively demonstrated a significant increase in scores, rising from a mean of 10.33 ± 2.32 to 11.11 ± 1.49, with a mean difference of 0.78 ± 1.40 [95% CI: 0.17 to 1.44], following 8 weeks of creatine supplementation (Table 2 and Fig 1A). The calculated effect size was 0.53 (Hedges’ g), indicating a medium effect.

Table 2. Functionality test, handgrip strength and bioimpedanciometry Bootstrap analysis pre- and post creatine supplementation.

Parameter Pre-Creatine Post-Creatine Mean Difference [95% CI]1 Hedges’g
[95% CI]2
SPPB (points) 10.33 (2.33) 11.11 (1.49) 0.78 [0.17 to 1.44]* 0.53 [0.13 to 1.01]*
Strength (kgF) 28.28 (9.42) 28.94 (10.11) 0.67 [−0.67 to 2.11] 0.21 [- 0.31 to 0.62]
Bioimpedanciometry
 Skeletal Muscle Mass (kg) 21.36 (5.29) 22.67 (5.46) 1.31 [0.55 to 2.23]* 0.66 [0.39 to 1.20]*
 Fat-Free Mass (kg) 44.89 (10.85) 47.01 (11.17) 2.11 [0.75 to 3.58]* 0.64 [0.27 to 1.18]*
Total Body Water (liters) 35.37 (7.07) 36.53 (7.12) 1.17 [0.26 to 2.13]* 0.54 [0.14 to 1.12]*
 Extracellular Water (liters) 16.48 (2.96) 16.68 (2.98) 0.20 [−0.30 to 0.70] 0.17 [- 0.28 to 0.71]
 Intracellular Water (liters) 18.88 (4.43) 19.85 (4.44) 0.97 [0.48 to 1.51]* 0.81 [0.46 to 1.41]*
 Phase Angle (degrees) 5.36 (1.01) 5.88 (1.04) 0.52 [0.27 to 0.76]* 0.90 [0.46 to 1.73]*

1Point estimate and 95% confidence interval based on 10 000 bootstrap replicates of the pre–post differences.

2Effect size estimates with 95% confidence intervals based on 10,000 bootstrap resamples.

*Statistically significant at 5% level.

Fig 1. Gardner-Altman plots showing changes from pre- to post-intervention. Physical performance (SPPB) but not handgrip strength, increases after creatine supplementation.

Fig 1

Strength measured as handgrip (B) did not change after creatine supplementation. Functional capacity, measured through SPPB test (A), showed significant increases after 8 weeks of oral creatine supplementation. The left panel displays paired individual values, with lines connecting pre- and post-intervention measurements. The right panel illustrates the mean difference as a dot, with the 95% confidence interval indicated by the vertical bar. Positive values denote improvement after the intervention.

Muscle strength showed a slight, non-significant increase, from a mean of 28.28 ± 9.42 kgF to 28.94 ± 10.11 kgF, with a mean difference of 0.67 ± 3.11 kgF [95% CI: –0.67 to 2.11]. The effect size was 0.21, indicating a small effect. (Table 2 and Fig 1B)

According to bioimpedance analysis (Table 2 and Fig 2), post-supplementation measurements revealed significant changes in the following variables: Skeletal muscle mass increased by 1.31 ± 1.89 kg [95% CI: 0.55 to 2.23], rising from 21.36 ± 5.28 kg to 22.67 ± 5.45 kg, with an effect size of 0.66, indicating a moderate effect (Fig 2A). Fat-free mass increased by 2.11 ± 3.16 kg [95% CI: 0.75 to 3.58], with an effect size of 0.64, increasing from 44.89 ± 10.11 kg to 47.01 ± 10.05 kg (Fig 2B). Phase angle showed a significant increase of 0.52 ± 0.55 degrees [95% CI: 0.27 to 0.76], rising from a baseline mean of 5.36 ± 1.01 degrees to 5.88 ± 1.04 degrees, with an effect size of 0.90, indicating a large effect (Fig 2F).

Fig 2. Gardner-Altman plots showing changes from pre- to post-intervention. Markers of skeletal muscle mass are increased after creatine supplementation in HD patients.

Fig 2

Skeletal muscle mass (A), fat free mass (B) and phase angle (F) are increased in HD patients after receiving creatine supplementation for 8 weeks. Total (C) and intracellular water (E) also increased after creatine supplementation. Extracellular water (D) did not change after creatine supplementation. The left panel displays paired individual values, with lines connecting pre- and post-intervention measurements. The right panel illustrates the mean difference as a dot, with the 95% confidence interval indicated by the vertical bar. Positive values denote improvement after the intervention.

Regarding volumetric variables, significant changes were observed in total body water, which increased by 1.17 L ± 2.07 [95% CI: 0.26 to 2.13], changing from 35.37 L ± 7.07 L to 36.53 L ± 7.12 L. The calculated effect size was 0.54, indicating a moderate effect (Fig 2C). Importantly, the increase in total body water was mainly driven by a rise of 0.97 L ± 1.14 [95% CI: 0.48 to 1.51] in intracellular water changing from 18.88 L ± 4.43 L to 19.85 L ± 4.44 L, following creatine supplementation, with an effect size of 0.81 indicating a large effect (Fig 2E). Extracellular water did not show significant changes before and after the intervention, with a mean difference of 0.20 ± 1.12 L [95% CI: –0.30 to 0.70], varying from 16.48 ± 2.96 L to 16.68 ± 2.98 L. The effect size was 0.17, indicating a negligible effect (Fig 2D).

In the stratified analysis by sex, significant differences in strength were observed among men, with an increase of 2.11 ± 2.96 kg [95% CI: 0.11 to 4.22]; the Hedges’ g effect size was 0.57. Significant improvements were also found in SPPB scores in men, with an increase of 0.44 ± 0.76 points [95% CI: 0.11 to 0.89]; the Hedges’ g effect size was 0.56 (Table 3).

Table 3. Bootstrap analysis of functionality tests and handgrip strength before and after creatine supplementation — subgroup analysis.

SPPB points [CI 95%]1 Strength kgF [CI 95%]1
Women (n:9) 1.11 [0.00 to 2.22] −0.77 [−1.89 to 0.67]
Men (n:9) 0.44 [0.11 to 0.89]* 2.11 [0.11 to 4.22]*

1Point estimate and 95% confidence interval based on 10 000 bootstrap replicates of the pre–post differences.

*Statistically significant at 5% level.

Among female participants, a non-significant increase in SPPB scores was observed following the intervention, with a mean difference of 1.11 ± 1.8 [CI 95%: 0.00 to 2.22]. The calculated effect size (Hedges’ g) was 0.55, suggesting a moderate magnitude of the observed effect. No improvement was observed in muscle strength in women following the intervention. The mean change was −0.77 ± 2.04 kgF [95% CI: −1.89 to 0.67]. The Hedges’ g effect size was −0.35 (Table 3)

Discussion

In this study, we present the results of a pilot clinical trial demonstrating that functional capacity and body composition improved in hemodialysis patients supplemented with creatine. In line with our working hypothesis, creatine supplementation for eight weeks in individuals on chronic hemodialysis was associated with better scores in physical functionality tests (SPPB), along with favorable changes in body composition measured by bioimpedance, including increases in skeletal muscle mass, fat-free mass, and phase angle. These findings suggest that oral creatine supplementation may serve as a potential therapeutic strategy to enhance muscle mass and overall physical performance in hemodialysis patients.

For supplementation in the present study, we utilized creatine monohydrate, a supplement with extensive evidence supporting its safety [2428], as well as its efficacy in improving muscular performance across various populations and clinical scenarios [29]. Creatine is a key substrate for energy metabolism in all tissues, particularly those with high ATP consumption, such as skeletal muscle, smooth muscle, cardiac muscle, brain, and neurons. Its mechanism of action involves an increase in phosphocreatine levels within muscle cells, optimizing the supply of phosphate groups for ATP generation [30]. Notably, creatine stores are primarily located in skeletal muscle cells, and oral supplementation can increase these reserves by approximately 25% [31]. Although our study did not measure intracellular creatine deposits, we observed significant changes in body composition and functionality which might be attributed to a hypothetical intracellular creatine increase.

In our study, we employed a continuous creatine dose of 5 grams per day, which is recommended for maintenance dose. This approach was chosen to avoid the potential risk of fluid overload associated with the loading dose strategy (20 g/day for seven days) [32], which requires the consumption of approximately one liter of water daily for creatine dilution. Our strategy is supported by a previous study in healthy volunteers demonstrating that a lower continuous dose over 28 days resulted in similar muscle creatine concentrations compared to a six-day loading regimen [33]. In the dialysis population, data on this issue are scarce. Therefore, we opted for an extended supplementation period, twice the duration of the referenced study, to ensure adequate replenishment considering the creatine losses occurring during each dialysis session.

The improvement in functionality, as measured by the SPPB test, is particularly noteworthy given the well-documented association between low physical functional capacity and mortality [34]. Following creatine supplementation, SPPB scores increased from a mean of 10.3 to 11.11 points (Fig 1B). Among the participants, only one patient exhibited a decline in SPPB score, while nine maintained their scores, and eight demonstrated improvement. The Hedges’ g effect size of 0.53 indicates a moderate impact of creatine supplementation on SPPB performance. In the context of hemodialysis, where patients commonly experience progressive physical decline, even modest improvements may hold meaningful clinical relevance.

Although the subgroup analysis among female participants showed changes in SPPB test, with the lower bound of the confidence interval reaching 0.00, no definitive conclusions can be drawn given that this analysis included only 9 patients. While the observed effect size (Hedges’ g) was moderate, the limited sample size substantially constrains the robustness of these findings. The same caution applies to our observations in the male subgroup. Although the observed increase in muscle strength and SPPB in males appears potentially clinically meaningful—particularly considering the well-established association between muscle strength and mortality in dialysis patients—we consider it inappropriate to draw definitive positive conclusions at this stage. Nevertheless, as a pilot study, this work serves its purpose by generating preliminary evidence and contributing valuable insights that should inform future research with larger sample sizes and more rigorous designs, including the incorporation of a control group.

Supporting the relevance of our findings in relation to the improvements seen in the SPPB scores, a recent study by Uchida et al. [35] demonstrated that dialysis patients with lower SPPB scores have higher all-cause mortality, an increased risk of hospitalization, and greater hospitalization rates due to cardiovascular causes. Furthermore, for each point decrease in the SPPB score, patients were more likely to experience these adverse outcomes.

Given that SPPB is a well-established predictor of mobility and overall physical performance [36], our findings offer an interesting preliminary insight that may serve as a foundation for future studies with larger sample sizes and extended follow-up periods, aimed at determining whether the observed improvements in physical performance are sustained over time and whether they are associated with lower mortality rates.

Handgrip strength is a measure that deserves attention in order to its relationship to all cause mortality in hemodialysis patients [37]. In one of the few articles referring to creatine supplementation in dialysis patients, which evaluated changes in grip strength after one year of creatine plus neuromuscular electrical stimulation, significant increases in handgrip strength were observed [38]. Our findings show that after 8 weeks of creatine supplementation handgrip strength did not increase in the whole group. As mentioned earlier, the gender subgroup analysis showed significant increases in handgrip strength in men, but this observation has to be re-tested in future studies. As previous literature supporting this hypothesis came from patients in a different clinical context, the lack of a significant increase in handgrip strength in our whole group analysis could have been expected, as we supplemented for a shorter period and did not include an exercise or neuromuscular electrical stimulation intervention as informed in Marini’s work.

An additional noteworthy finding in our study, particularly in the bioimpedance analysis, was the increase in phase angle (Fig 2F). This parameter is recognized as an indicator of both the quantity and quality of soft tissues, with higher values reflecting greater cellularity, improved integrity, and enhanced cellular functionality [39]. Phase angle is calculated as the arc tangent of the Reactance/Resistance ratio, where resistance represents the opposition to the flow of electrical current through intra- and extracellular ionic solutions, and reactance reflects the opposition due to the capacitive properties of cell membranes and tissue interfaces [40]. Its value varies by gender and declines with age; in the general population, mean phase angle values range from 7° in men and 6.3° in women aged 39–48 years, decreasing to 5.1° in individuals aged 70–80 years [41]. In dialysis patients, lower phase angle values have been consistently associated with an increased risk of hospitalization, reduced physical function, poorer quality of life, and higher mortality [18,19]. In our study, we observed a statistically significant improvement of 0.52 degrees. The associated effect size of 0.90 suggests a large and potentially clinically meaningful change. However, no universally accepted threshold for phase angle variation has been established in the literature as a predictor of improved outcomes in dialysis patients. Nonetheless, a recent study proposed a cutoff value of 4.5°, suggesting that patients with phase angle values above this threshold may have lower mortality compared to those below it [20]. Given the established relationship between lower phase angle values and adverse outcomes, creatine supplementation could be a promising intervention for future long-term prospective studies to explore potential correlations between phase angle improvements and changes in quality of life and and even in terms of mortality in dialysis patients.

Other variables in which we observed significant differences include fat-free mass and skeletal muscle mass, both of which increased following creatine supplementation. Considering that skeletal muscle mass is a key component in the diagnosis of sarcopenia and protein-energy wasting [42,43]—conditions with high prevalence among hemodialysis patients and a strong association with mortality [4447]—these findings appear desirable in this population. However, studies with longer follow-up periods and more rigorous designs are needed to establish any relationship with clinically relevant outcomes, such as mortality or hospitalization.

When these findings are considered alongside changes in body water compartments, it is reasonable to infer that our results are likely related to an increase in ICW. It is well known that creatine promotes intracellular water retention, seemingly driven by its co-transport with sodium into the intracellular space [48]. While this finding might seem unremarkable, it could have important implications given a recently published study showing that dialysis patients with low baseline post-dialysis ICW correlated with muscle wasting and inflammation and was an independent risk factor for mortality [49]. It is also important to note that evidence in humans has demonstrated increased muscle protein synthesis, greater muscle glycogen content, reduced markers of protein catabolism, and an increased number of satellite cells following creatine supplementation [50,51]. Therefore, it could be speculated that, as observed in other studied populations, the increase in muscle mass may not be solely attributable to changes in intracellular hydration, but also to these additional anabolic mechanisms. Nevertheless, histological and molecular biology studies are needed to confirm these effects in the dialysis population.

Importantly, although both TBW and ICW increased significantly following creatine supplementation, no significant change was observed in dry weight. This likely reflects the relatively small magnitude of the TBW increase (1.17 liters), which falls well within the known variability of dry weight measurements in dialysis patients. Previous studies have shown that fluctuations of 1–2 kg in dry weight between sessions are common and do not necessarily indicate fluid overload [52]. Although the change in total body water reached statistical significance, its magnitude is unlikely to translate into a clinically noticeable alteration in dry weight, likely due to the inherent variability in fluid distribution and limitations in clinical assessment. Notably, ECW remained stable throughout the intervention, which supports the safety and tolerability of creatine supplementation in this population. It is also important to consider that in patients undergoing thrice-weekly chronic hemodialysis—particularly those who are anuric, comprising 50% of our study population—extracellular water is routinely regulated through ultrafiltration during each session. This therapeutic process, aimed at removing excess fluid alongside solute clearance, likely contributed to maintaining stable dry weight despite the observed shifts in TBW.

To date, only one study has examined body water compartments in dialysis patients receiving creatine supplementation, and it reported findings similar to ours in this regard. However, unlike our study, it did not assess physical functional outcomes [53].

Laboratory values, including hematocrit, calcium, phosphorus, blood urea nitrogen, albumin, nPCR, Kt/V, and dry weight, remained unchanged before and after supplementation. It is important to note that both Kt/V and nPCR are routinely applied in dialysis units worldwide and are derived from objective, patient-specific clinical parameters [54,55]. Importantly, these formulas do not incorporate race or ethnicity as variables. Therefore, we do not consider that their use introduced any bias in the population included in our study.

We did observe a significant increase in serum creatinine, which was an expected result given the metabolism of creatine to creatinine [56]. Additionally, vitamin D levels showed a significant increase post-supplementation. Upon analysis, two primary factors were identified as potential contributors: some patients (n = 8) received both creatine and vitamin D supplementation due to initially low plasma vitamin D levels, and seasonal variation, with pre- and post-supplementation measurements taken in winter and summer, respectively, a phenomenon known to influence vitamin D levels [57]. Since vitamin D is linked to functionality and strength in dialysis patients [58], we further analyzed functionality outcomes only in patients with increased vitamin D levels (n = 14) and found no significant difference in SPPB scores (S1 Table), ruling out confounding effects.

Consistent with previous studies using creatine in patients undergoing renal replacement therapy [59,60], no adverse effects were reported among our study participants. No patient experienced diarrhea, abdominal discomfort, or any other symptoms that required discontinuation of its use.

Among the strengths of our pilot study is its status as the first to evaluate the impact of creatine supplementation on functional levels in patients with end-stage renal disease in dialysis. However, we acknowledge certain limitations, including the small sample size (n = 18), the absence of a control group to account for the placebo effect and that we did not reach the calculated sample size; however, we attempted to address this limitation by conducting a robust statistical analysis of our findings, which yielded results showing statistical significance. Another limitation of this study is the use of convenience sampling, which, while practical in the clinical setting, may have introduced selection bias. This approach could limit the external validity of our findings, as the sample may not be fully representative of the general dialysis population. However, it is important to note that the selected group had a similar average age to that of the overall patient population in our unit, and that gender equity was achieved in the sample. Finally, although there are more precise methods for measuring muscle mass, such dual energy X-ray absorptiometry (DEXA) [61] and isotope dilution techniques for the assessment of body water compartments [62], they are unfortunately not currently accessible in our region. Therefore, we relied on bioelectrical impedance analysis (BIA), given its significantly greater accessibility and widespread clinical use worldwide. However, it would be of interest to confirm these findings using those reference techniques in settings where such technology is available. Future research involving a larger cohort and a control group is necessary to establish a definitive relationship between creatine supplementation and functional outcomes in dialysis patients.

While this study provides valuable preliminary insights into creatine supplementation in dialysis patients, several uncontrolled variables may have influenced the results. Dietary variations, particularly protein intake and consumption of creatine-rich foods, were not recorded during the study and could have contributed to baseline differences between participants. Also individual physical activity levels that naturally vary among individuals were not registered, representing another potential confounding factor. Additionally, seasonal variations during summer months may have influenced hydration status and vitamin D levels. With these possible confounders in mind, throughout the course of the trial, all patients received nutritional counseling provided by the same dietitian. They were also told to keep their baseline, regular physical activity levels during the study. Although these uncontrolled factors introduce some uncertainty in attributing outcomes only to creatine supplementation, they reflect real-world conditions and do not necessarily invalidate the findings, but rather highlight areas for standardization in future controlled trials.

The most relevant finding of this study is the observed improvement in SPPB test scores following creatine supplementation in dialysis patients, accompanied by favorable changes in body composition. Considering the established association between reduced physical function and adverse outcomes, these preliminary findings suggest that creatine supplementation may represent a promising strategy to improve functional status in this high-risk population. However, larger and adequately powered studies are warranted to confirm these results and to evaluate potential effects on clinical outcomes such as mortality and hospitalization.

Supporting information

S1 Table. SPPB score pre and post creatine supplementation in patients with increased vitamin D levels.

Mean difference (post – pre): 0.85 [95% CI: 0.00–1.54], based on 10,000 bootstrap replicates of the paired differences.

(DOCX)

pone.0328757.s001.docx (12.6KB, docx)
S1 File. CONSORT 2025 editable checklist.

(DOCX)

pone.0328757.s002.docx (22.7KB, docx)

Acknowledgments

We would like to express our sincere gratitude to the nursing team of the dialysis unit at Hospital Puerto Aysén.

Data Availability

All relevant data are within the manuscript and its Supporting Information files (Data table supplied as Excel file).

Funding Statement

CBA received MINEDUC (Ministerio de Educación) URY 20993 and URY 21991 funding. https://www.mineduc.cl/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Duncan BB, Thomé FS, Vos T. The Global Burden of Disease Study–a kidney disease resource. Nephrol Dial Transplant. 2024. doi: gfae136 [DOI] [PubMed] [Google Scholar]
  • 2.Flythe JE, Watnick S. Dialysis for chronic kidney failure: a review. JAMA [Internet]. 2024 [cited 2024 Oct 6]. Available from: https://jamanetwork.com/journals/jama/fullarticle/2824363 [DOI] [PubMed]
  • 3.Epidemiology of haemodialysis outcomes | Nature Reviews Nephrology [Internet]. [cited 2025 Jun 16]. Available from: https://www.nature.com/articles/s41581-022-00542-7 [DOI] [PMC free article] [PubMed]
  • 4.Ma L, Zhao S. Risk factors for mortality in patients undergoing hemodialysis: a systematic review and meta-analysis. Int J Cardiol. 2017;238:151–8. [DOI] [PubMed] [Google Scholar]
  • 5.Jadeja YP, Kher V. Protein energy wasting in chronic kidney disease: an update with focus on nutritional interventions to improve outcomes. Indian J Endocrinol Metab. 2012;16(2):246–51. doi: 10.4103/2230-8210.93743 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kavanagh NT, Schiller B, Saxena AB, Thomas I-C, Kurella Tamura M. Prevalence and correlates of functional dependence among maintenance dialysis patients. Hemodial Int. 2015;19(4):593–600. doi: 10.1111/hdi.12286 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Torino C, Manfredini F, Bolignano D, Aucella F, Baggetta R, Barillà A, et al. Physical performance and clinical outcomes in dialysis patients: a secondary analysis of the EXCITE trial. Kidney Blood Press Res. 2014;39(2–3):205–11. doi: 10.1159/000355798 [DOI] [PubMed] [Google Scholar]
  • 8.Bossola M, Di Stasio E, Antocicco M, Pepe G, Tazza L, Zuccalà G, et al. Functional impairment is associated with an increased risk of mortality in patients on chronic hemodialysis. BMC Nephrol. 2016;17(1):72. doi: 10.1186/s12882-016-0302-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Martins P, Marques EA, Leal DV, Ferreira A, Wilund KR, Viana JL. Association between physical activity and mortality in end-stage kidney disease: a systematic review of observational studies. BMC Nephrol. 2021;22(1):227. doi: 10.1186/s12882-021-02407-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Dempsey RL, Mazzone MF, Meurer LN. Does oral creatine supplementation improve strength? A meta-analysis. J Fam Pract. 2002;51(11):945–51. [PubMed] [Google Scholar]
  • 11.Branch JD. Effect of creatine supplementation on body composition and performance: a meta-analysis. Int J Sport Nutr Exerc Metab. 2003;13(2):198–226. [DOI] [PubMed] [Google Scholar]
  • 12.van der Veen Y, Post A, Kremer D, Koops CA, Marsman E, Appeldoorn TYJ. Chronic dialysis patients are depleted of creatine: review and rationale for intradialytic creatine supplementation. Nutrients. 2021;13(8):2709. doi: 10.3390/nu13082709 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Post A, Tsikas D, Bakker SJL. Creatine is a conditionally essential nutrient in chronic kidney disease: a hypothesis and narrative literature review. Nutrients. 2019;11(5):1044. doi: 10.3390/nu11051044 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Wallimann T, Riek U, Möddel M. Intradialytic creatine supplementation: a scientific rationale for improving the health and quality of life of dialysis patients. Med Hypotheses. 2017;99:1–14. [DOI] [PubMed] [Google Scholar]
  • 15.Moist LM, Troyanov S, White CT, Wazny LD, Wilson J-A, McFarlane P, et al. Canadian Society of Nephrology commentary on the 2012 KDIGO clinical practice guideline for anemia in CKD. Am J Kidney Dis. 2013;62(5):860–73. doi: 10.1053/j.ajkd.2013.08.001 [DOI] [PubMed] [Google Scholar]
  • 16.Daugirdas JT. Second generation logarithmic estimates of single-pool variable volume Kt/V: an analysis of error. J Am Soc Nephrol. 1993;4(5):1205–13. doi: 10.1681/ASN.V451205 [DOI] [PubMed] [Google Scholar]
  • 17.Kaynar K, Songul Tat T, Ulusoy S, Cansiz M, Ozkan G, Gul S, et al. Evaluation of nutritional parameters of hemodialysis patients. Hippokratia. 2012;16(3):236–40. [PMC free article] [PubMed] [Google Scholar]
  • 18.Beberashvili I, Azar A, Sinuani I, Shapiro G, Feldman L, Stav K, et al. Bioimpedance phase angle predicts muscle function, quality of life and clinical outcome in maintenance hemodialysis patients. Eur J Clin Nutr. 2014;68(6):683–9. [DOI] [PubMed] [Google Scholar]
  • 19.Kang SH, Do JY, Kim JC. Impedance-derived phase angle is associated with muscle mass, strength, quality of life, and clinical outcomes in maintenance hemodialysis patients. PLoS One. 2022;17(1):e0261070. doi: 10.1371/journal.pone.0261070 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Xu Y, Ling S, Liu Z, Luo D, Qi A, Zeng Y. The ability of phase angle and body composition to predict risk of death in maintenance hemodialysis patients. Int Urol Nephrol. 2023;56(2):731–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Santamaría-Peláez M, González-Bernal JJ, Da Silva-González Á, Medina-Pascual E, Gentil-Gutiérrez A, Fernández-Solana J, et al. Validity and reliability of the short physical performance battery tool in institutionalized spanish older adults. Nurs Rep. 2023;13(4):1354–67. doi: 10.3390/nursrep13040114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yabe H, Kono K, Yamaguchi T, Ishikawa Y, Yamaguchi Y, Azekura H. Effects of intradialytic exercise for advanced-age patients undergoing hemodialysis: a randomized controlled trial. PLoS One. 2021;16(10):e0257918. doi: 10.1371/journal.pone.0257918 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Cumming G. Understanding the new statistics effect sizes, confidence intervals, and meta-analysis. 1st ed. Taylor & Francis Group; 2012. [Google Scholar]
  • 24.de Souza E Silva A, Pertille A, Reis Barbosa CG, Aparecida de Oliveira Silva J, de Jesus DV, Ribeiro AGSV, et al. Effects of creatine supplementation on renal function: a systematic review and meta-analysis. J Ren Nutr. 2019;29(6):480–9. doi: 10.1053/j.jrn.2019.05.004 [DOI] [PubMed] [Google Scholar]
  • 25.Post A, Groothof D, Kremer D, Knobbe TJ, Abma W, Koops CA, et al. Creatine homeostasis and the kidney: comparison between kidney transplant recipients and healthy controls. Amino Acids. 2024;56(1):42. doi: 10.1007/s00726-024-03401-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhou B, Hong M, Jin L, Ling K. Exploring the relationship between creatine supplementation and renal function: insights from Mendelian randomization analysis. Ren Fail. 2024;46(2):2364762. doi: 10.1080/0886022X.2024.2364762 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kreider RB, Gonzalez DE, Hines K, Gil A, Bonilla DA. Safety of creatine supplementation: analysis of the prevalence of reported side effects in clinical trials and adverse event reports. J Int Soc Sports Nutr. 2025;22(sup1):2488937. doi: 10.1080/15502783.2025.2488937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kreider RB, Jäger R, Purpura M. Bioavailability, efficacy, safety, and regulatory status of creatine and related compounds: a critical review. Nutrients. 2022;14(5). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Wax B, Kerksick CM, Jagim AR, Mayo JJ, Lyons BC, Kreider RB. Creatine for exercise and sports performance, with recovery considerations for healthy populations. Nutrients. 2021;13(6):1915. doi: 10.3390/nu13061915 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bonilla DA, Kreider RB, Stout JR, Forero DA, Kerksick CM, Roberts MD, et al. Metabolic basis of creatine in health and disease: a bioinformatics-assisted review. Nutrients. 2021;13(4):1238. doi: 10.3390/nu13041238 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Brosnan JT, Brosnan ME. Creatine: endogenous metabolite, dietary, and therapeutic supplement. Annu Rev Nutr. 2007;27(1):241–61. [DOI] [PubMed] [Google Scholar]
  • 32.Kreider RB, Kalman DS, Antonio J, Ziegenfuss TN, Wildman R, Collins R. International Society of Sports Nutrition position stand: safety and efficacy of creatine supplementation in exercise, sport, and medicine. J Int Soc Sports Nutr. 2017;14:18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hultman E, Soderlund K, Timmons JA, Cederblad G, Greenhaff PL. Muscle creatine loading in men [Internet]. J Appl Physiol. 1996;81:232–7. Available from: www.physiology.org/journal/jappl [DOI] [PubMed] [Google Scholar]
  • 34.Pavasini R, Guralnik J, Brown JC, di Bari M, Cesari M, Landi F, et al. Short Physical Performance Battery and all-cause mortality: systematic review and meta-analysis. BMC Med. 2016;14(1):215. doi: 10.1186/s12916-016-0763-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Uchida J, Suzuki Y, Imamura K, Yoshikoshi S, Nakajima T, Fukuzaki N. The association of short physical performance battery with mortality and hospitalization in patients receiving hemodialysis. J Ren Nutr. 2023. [DOI] [PubMed] [Google Scholar]
  • 36.de Fátima Ribeiro Silva C, Ohara DG, Matos AP, Pinto ACPN, Pegorari MS. Short physical performance battery as a measure of physical performance and mortality predictor in older adults: a comprehensive literature review. Int J Environ Res Public Health. 2021;18(20):10612. doi: 10.3390/ijerph182010612 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Hwang SH, Lee DH, Min J, Jeon JY. Handgrip strength as a predictor of all-cause mortality in patients with chronic kidney disease undergoing dialysis: a meta-analysis of prospective cohort studies. J Ren Nutr. 2019;29(6):471–9. [DOI] [PubMed] [Google Scholar]
  • 38.Marini ACB, Pimentel GD. Creatine supplementation plus neuromuscular electrical stimulation improves lower-limb muscle strength and quality of life in hemodialysis men. Einstein (Sao Paulo). 2020;18:eCE5623. doi: 10.31744/einstein_journal/2020CE5623 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Norman K, Stobäus N, Pirlich M, Bosy-Westphal A. Bioelectrical phase angle and impedance vector analysis--clinical relevance and applicability of impedance parameters. Clin Nutr. 2012;31(6):854–61. doi: 10.1016/j.clnu.2012.05.008 [DOI] [PubMed] [Google Scholar]
  • 40.Demirci C, Aşcı G, Demirci MS, Özkahya M, Töz H, Duman S, et al. Impedance ratio: a novel marker and a powerful predictor of mortality in hemodialysis patients. Int Urol Nephrol. 2016;48(7):1155–62. doi: 10.1007/s11255-016-1292-1 [DOI] [PubMed] [Google Scholar]
  • 41.Mattiello R, Amaral MA, Mundstock E, Ziegelmann PK. Reference values for the phase angle of the electrical bioimpedance: systematic review and meta-analysis involving more than 250,000 subjects. Clin Nutr. 2020;39(5):1411–7. [DOI] [PubMed] [Google Scholar]
  • 42.Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16–31. doi: 10.1093/ageing/afy169 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Gracia-Iguacel C, González-Parra E, Mahillo I, Ortiz A. Criteria for classification of protein-energy wasting in dialysis patients: impact on prevalence. Br J Nutr. 2019;121(11):1271–8. doi: 10.1017/S0007114519000400 [DOI] [PubMed] [Google Scholar]
  • 44.Bataille S, Serveaux M, Carreno E, Pedinielli N, Darmon P, Robert A. The diagnosis of sarcopenia is mainly driven by muscle mass in hemodialysis patients. Clin Nutr. 2017;36(6):1654–60. [DOI] [PubMed] [Google Scholar]
  • 45.Kittiskulnam P, Chertow GM, Carrero JJ, Delgado C, Kaysen GA, Johansen KL. Sarcopenia and its individual criteria are associated, in part, with mortality among patients on hemodialysis. Kidney Int. 2017;92(1):238–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Shu X, Lin T, Wang H, Zhao Y, Jiang T, Peng X, et al. Diagnosis, prevalence, and mortality of sarcopenia in dialysis patients: a systematic review and meta-analysis. J Cachexia Sarcopenia Muscle. 2022;13(1):145–58. doi: 10.1002/jcsm.12890 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Nitta K, Tsuchiya K. Recent advances in the pathophysiology and management of protein-energy wasting in chronic kidney disease. Ren Replace Ther. 2016;2(1):4. [Google Scholar]
  • 48.Wyss M, Kaddurah-Daouk R, Hoffmann- F, Roche L. Creatine and creatinine metabolism [Internet]; 2000. Available from: www.physrev.physiology.org [DOI] [PubMed]
  • 49.Gracia-Iguacel C, González-Parra E, Mahillo I, Ortiz A. Low intracellular water, overhydration, and mortality in hemodialysis patients. J Clin Med. 2020;9(11):3616. doi: 10.3390/jcm9113616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Safdar A, Yardley NJ, Snow R, Melov S, Tarnopolsky MA. Global and targeted gene expression and protein content in skeletal muscle of young men following short-term creatine monohydrate supplementation. Physiol Genomics. 2008;32(2):219–28. doi: 10.1152/physiolgenomics.00157.2007 [DOI] [PubMed] [Google Scholar]
  • 51.Wu SH, Chen KL, Hsu C, Chen HC, Chen JY, Yu SY. Creatine supplementation for muscle growth: a scoping review of randomized clinical trials from 2012 to 2021. Nutrients. 2022;14(6):1255. doi: 10.3390/nu14061255 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kim HR, Bae HJ, Jeon JW, Ham YR, Na KR, Lee KW, et al. A novel approach to dry weight adjustments for dialysis patients using machine learning. PLoS One. 2021;16(4):e0250467. doi: 10.1371/journal.pone.0250467 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Marini ACB, Schincaglia RM, Candow DG, Pimentel GD. Effect of creatine supplementation on body composition and malnutrition-inflammation score in hemodialysis patients: an exploratory 1-year, balanced, double-blind design. Nutrients. 2024;16(5):615. doi: 10.3390/nu16050615 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Daugirdas JT, Depner TA, Inrig J, Mehrotra R, Rocco MV, Suri RS. KDOQI clinical practice guideline for hemodialysis adequacy: 2015 update. Am J Kidney Dis. 2015;66(5):884–930. [DOI] [PubMed] [Google Scholar]
  • 55.Sohrabi Z, Kohansal A, Mirzahosseini H, Naghibi M, Zare M, Haghighat N, et al. Comparison of the nutritional status assessment methods for hemodialysis patients. Clin Nutr Res. 2021;10(3):219–29. doi: 10.7762/cnr.2021.10.3.219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Wyss M, Kaddurah-Daouk R, Hoffmann- F, Roche L. Creatine and creatinine metabolism [Internet]; 2000. Available from: www.physrev.physiology.org [DOI] [PubMed]
  • 57.Chang JH, Ro H, Kim S, Lee HH, Chung W, Jung JY. Study on the relationship between serum 25-hydroxyvitamin D levels and vascular calcification in hemodialysis patients with consideration of seasonal variation in vitamin D levels. Atherosclerosis. 2012;220(2):563–8. doi: 10.1016/j.atherosclerosis.2011.11.028 [DOI] [PubMed] [Google Scholar]
  • 58.Fu C, Wu F, Chen F, Han E, Gao Y, Xu Y. Association of serum 25-hydroxy vitamin D with gait speed and handgrip strength in patients on hemodialysis. BMC Nephrol. 2022;23(1):350. doi: 10.1186/s12882-022-02973-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Chang C-T, Wu C-H, Yang C-W, Huang J-Y, Wu M-S. Creatine monohydrate treatment alleviates muscle cramps associated with haemodialysis. Nephrol Dial Transplant. 2002;17(11):1978–81. doi: 10.1093/ndt/17.11.1978 [DOI] [PubMed] [Google Scholar]
  • 60.Marini ACB, Motobu RD, Freitas ATV, Mota JF, Wall BT, Pichard C, et al. Short-term creatine supplementation may alleviate the malnutrition-inflammation score and lean body mass loss in hemodialysis patients: a pilot randomized placebo-controlled trial. JPEN J Parenter Enteral Nutr. 2020;44(5):815–22. doi: 10.1002/jpen.1707 [DOI] [PubMed] [Google Scholar]
  • 61.Messina C, Albano D, Gitto S, Tofanelli L, Bazzocchi A, Ulivieri FM, et al. Body composition with dual energy X-ray absorptiometry: from basics to new tools. Quant Imaging Med Surg. 2020;10(8):1687–98. doi: 10.21037/qims.2020.03.02 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Cataldi D, Bennett JP, Quon BK, Liu YE, Heymsfield SB, Kelly T, et al. Agreement and precision of deuterium dilution for total body water and multicompartment body composition assessment in collegiate athletes. J Nutr. 2022;152(9):2048–59. doi: 10.1093/jn/nxac116 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Diego A Bonilla

Dear Dr. Basualto-Alarcón,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

MAJOR DETAILS:

1. The structure of the manuscript, especially the METHODS section, needs to be revised. All subsections should be organized in strict order as recommended by CONSORT guidelines for pilot and feasibility studies (Trial design, Participants, Intervention Procedures, Outcomes, Sample Size, Statistical Analysis) as informed in the submission guidelines of PLoS One. Cf, PMID 31608150 or www.equator-network.org.

Was the clinical trial registered? Platforms such as ClinicalTrials.gov, OSF, or Figshare are available for this purpose.

Were participants aware that they were receiving the creatine monohydrate supplement (i.e., open-label study), or were they blinded to the intervention (i.e., single-blind)? Consider including this information in the title for greater clarity.

This study is not a prospective observational study. This is a single-arm repeated-measures feasibility clinical trial (revise Line 126 and line 300). This is an experimental study.

The authors should clarify which variables are considered primary outcomes and which are secondary outcomes.

Was dietary intake or physical activity recorded during the study?

Please provide additional details regarding the blood sampling procedures, the test protocols used to evaluate biomarkers, and the equipment or devices employed in the laboratory.

Have the formulas been validated in the study population, or at least in a Latin American population? If not, this should be acknowledged as a limitation. 

2. Replace conventional bioelectrical impedance analysis with bioelectrical impedance vector analysis (BIVA). If you used the mBC 565 device, you should present BIVA results—such as the Xc versus R plot normalized by stature, or even specific BIVA using available body girth measurements—instead of relying solely on body composition estimates of SMM, ICW, FFM, ECW, and TBW. While phase angle is a valuable absolute outcome of BIVA, it can be further complemented with indices like the BI index (Height²/Z at 50 kHz) and the impedance ratio (Z at high and low frequencies in kHz).

"An IR ratio closer to 1 is indicative of cell membrane disruption, allowing more fluids, proteins, and electrolytes to shift into the extracellular space [22]. A strong inverse correlation has been reported between the phase angle (PhA) and IR in different clinical populations [22]. PhA is defined as the delay in current flow caused by a reduction in cell membrane capacitance [25]." Cf, PMID: 38488531

3. Statistical analysis. 

This section requires revision. Due to the small sample size and the fact that the required statistical power was not achieved (i.e., fewer participants than indicated by the sample size calculation), the authors should avoid null hypothesis significance testing (NHST). Instead, the analysis should focus on estimation methods—reporting 95% confidence intervals and unbiased effect sizes (e.g., Cohen's d, also known as Hedges' g)—as well as robust statistics, such as trimmed means and Winsorized standard deviations. Please re-run the analysis accordingly and confirm whether the findings and conclusions remain consistent. Thanks to your open data sharing, I have attached the raw data Excel file along with an example of the results output from Jamovi, which you may use for organizing and presenting your findings.

Cf,

- Estimation statistics: https://pubmed.ncbi.nlm.nih.gov/24220629/

"ESCI" module in Jamovi

- Robust statistics: https://pubmed.ncbi.nlm.nih.gov/31152384/

"Walrus" module in Jamovi

In addition, please generate and replace current figures with estimation plots to display the repeated measures data across time points (at baseline and after creatine supplementation). Cumming or Gardner-Altman estimation plots are recommended (see examples of these figures in the attached Excel file).

Please add the CV% of the instruments/technician to know the variability of all measures.

MINOR DETAILS: 

- Please adjust the background and hypothesis in the introduction secion (as well as in the abstract) to creatine related information. The introduction can be reduced to one page only. Missing key references on this topic: 

https://pubmed.ncbi.nlm.nih.gov/31083291/

https://pubmed.ncbi.nlm.nih.gov/28110688/

https://pubmed.ncbi.nlm.nih.gov/34444869/

- Although "body weight" and "height" are frequently used terms, it is technically correct to refer to "body mass" and "stature", respectively. Please address this accordingly throughout the manuscript.

- Dynamometer strength measurements should be expressed in kilogram-force (kgF). Please revise accordingly and replace "Strength" with "Handgrip Strength" in Figure 1. 

- Do not use "mean±standard deviation." Use Mean(SD) instead. Cf, PMID 21206631

- The results of all variables should be expressed as Δ ± SD [95% CI of the change]; unbiased Cohen's [with the corresponding 95% CI]. Remember that unbiased Cohen's = Hedge's g

- Please edit the tables to present all relevant findings, including effect sizes, 95% confidence intervals, and other pertinent statistics.

- Line 374: The authors should highlight that this is one of the first clinical trials to evaluate the effects of oral creatine monohydrate supplementation on BIVA variables, strength-related outcomes, and functional capacity in hemodialysis patients. 

- The discussion should place greater emphasis on BIVA-related data (e.g., bioimpedance indices reflecting cellular integrity), strength-related outcomes, and estimates of body composition (e.g., skeletal muscle mass, fat-free mass, etc.).

- The discussion on intra- and extra-celullar water might be enriched if the impedance ratio is reported (see comments above).

- In agreement with the reviewers, the authors should elaborate on potential confounding variables (e.g., diet, physical activity, season time, etc.) that could have influenced or biased the findings. 

- Additional information that should be referenced in the discussion to support the safety of creatine supplementation on renal health includes: 

https://pubmed.ncbi.nlm.nih.gov/31375416/

https://pubmed.ncbi.nlm.nih.gov/38869518/

https://pubmed.ncbi.nlm.nih.gov/38874125/ 

- Please provide a short paragraph of limitations before conclusions.

- Acknowledge conflicts of interest (if any) in the acknowledgements section.

- Replace the "STROBE checklist" with "CONSORT for feasibility and pilot studies checklist"

==============================

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Additional Editor Comments:

Dear authors,

The manuscript "Oral creatine in hemodialysis patients increases physical functional capacity and muscle mass" is interesting and could be a valuable contribution to the literature.

This clinical study aimed to determine whether oral creatine monohydrate supplementation improves muscle mass and physical functional performance in a convenience sample of adult dialysis patients, with measurements taken before and after supplementation. However, the authors need to address the reviewers' concerns and revise the manuscript in accordance with the editor's comments to improve its structure and data analysis, thereby enhancing its scientific robustness. I commend the authors for supporting open science and sharing their data.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Yes

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2. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #1: Peer Review: "Oral Creatine in Hemodialysis Patients Increases Physical Functional Capacity and Muscle Mass"

Below is my peer review of the manuscript entitled "Oral Creatine in Hemodialysis Patients Increases Physical Functional Capacity and Muscle Mass." This study is very interesting and timely. However, the authors need to address some of my concerns prior to acceptance for publication.

Major Concerns:

1. Absence of a Control Group

• Description: The study employs a single-arm, before-and-after design without a control group. All 18 participants received creatine supplementation (5 g/day for 8 weeks), and outcomes were compared pre- and post-intervention without a comparator group receiving placebo or standard care.

• Reference:

• Methods section, "Patient Selection" (Page 14, Lines 124-137): "All the recruited patients received creatine supplementation. They were measured before (pre-) and after (post-) receiving creatine supplementation."

• Introduction (Page 13, Line 118): It is an observational study.

• Impact: The lack of a control group is a significant methodological flaw that compromises the study's internal validity. Without a control, it is impossible to attribute the observed improvements in skeletal muscle mass, intracellular water, phase angle, and Short Physical Performance Battery (SPPB) scores solely to creatine supplementation. Confounding factors such as the placebo effect, regression to the mean, natural recovery, seasonal variations (e.g., vitamin D levels increased from winter to summer, Page 21, Lines 241-245), or increased attention from researchers could explain the results. This limitation undermines the study's ability to establish causality, a critical aspect for a research article claiming that creatine "increases" functional capacity and muscle mass, as stated in the title and conclusion (Page 11, Lines 60-63).

• Significance: For a pilot study, a single-arm design may be exploratory, but the absence of a control group severely limits the strength of the conclusions, especially given the definitive language used (e.g., "improved muscular and functional outcomes," Page 11, Line 61).

• Recommendation: Revise the manuscript to explicitly acknowledge the lack of a control group as a significant limitation in the Discussion section (beyond the brief mention on Page 28, Line 400). Temper the conclusions to reflect the preliminary nature of the findings, e.g., change "increases physical functional capacity and muscle mass" (Title, Page 1) to "may increase" or "is associated with increases in." Suggest a randomized controlled trial (RCT) as the next step to confirm causality.

• Rationale: This adjustment aligns the interpretation with the study's observational design and mitigates overstatement, preserving credibility.

2. Insufficient Sample Size

• Description: The study calculated a required sample size of 25 patients based on an effect size of 0.6, alpha of 0.05, and power of 0.8 for detecting changes in SPPB scores (Page 17, Lines 182-190). However, only 19 patients were recruited, and 18 completed the study, falling short of the planned sample size.

• Reference:

• Methods section, "Sample size calculation" (Page 17, Lines 182-190): "The required sample size... is 25 patients... we were only able to approach the calculated sample size."

• Results section, "Baseline Characteristics" (Page 19, Lines 210-216): "We were initially able to recruit only 19... From this initial selection, we had to withdraw one patient."

• Impact: Failing to meet the calculated sample size raises concerns about the study's statistical power. Although significant results were reported (e.g., SPPB p=0.043, skeletal muscle mass p=0.009, Page 22, Table 2), an underpowered study increases the risk of type II errors (missing true effects) and may inflate the risk of type I errors (false positives), particularly with borderline p-values like 0.043 for SPPB.

• Significance: The small sample size, combined with the lack of a control group, amplifies doubts about the robustness of the conclusions. The authors acknowledge this limitation (Page 28, Line 399), but the shortfall still constitutes a significant concern given the study's reliance on statistical significance to support its claims.

• Recommendation: Expand the Discussion to detail the implications of the reduced sample size on statistical power and result reliability (beyond the current note on Page 28, Line 399). Report post-hoc power analyses for key outcomes (e.g., SPPB, skeletal muscle mass) to clarify the strength of the findings. Recommend future studies with adequate sample sizes based on the observed effect sizes (e.g., 0.53 for SPPB, Page 25, Line 335).

• Rationale: Transparency about power limitations strengthens the manuscript's integrity and guides future research design.

3. Selection Bias Due to Convenience Sampling

• Description: The study used a convenience sample of patients selected based on "good adherence to pharmacological and dialysis therapy" (Page 14, Lines 125-126). This non-random selection method resulted in a cohort that may not represent the broader hemodialysis population.

• Reference:

• Methods section, "Patient Selection" (Page 14, Lines 124-131): "A convenience sampling... primarily based on their good adherence to pharmacological and dialysis therapy."

• Results section, "Baseline Characteristics" (Page 19, Lines 210-216): Describes recruitment challenges, noting exclusions due to mobility issues and poor adherence.

• Impact: Selecting patients with good adherence introduces selection bias, as these individuals may be healthier, more compliant, or more motivated than the average hemodialysis patient. This bias limits the external validity of the findings, as the results may not generalize to the broader population, particularly those with poorer adherence or more severe conditions who might respond differently to creatine supplementation. The manuscript does not adequately address how this selection impacts the applicability of the findings to clinical practice.

• Significance: This methodological flaw questions the study's relevance to the target population stated in the introduction (Page 13, Lines 88-93), where hemodialysis patients are described as a vulnerable group with high morbidity and mortality. The biased sample weakens the claim that creatine could mitigate these outcomes across all hemodialysis patients (Page 11, Lines 61-63).

• Recommendation: Discuss the potential impact of selection bias in the Discussion section, noting that patients with good adherence may differ from the general hemodialysis population in health status or behavior. Adjust claims about generalizability (e.g., Page 11, Lines 61-63) to specify the study population (e.g., "in adherent hemodialysis patients"). Propose stratified sampling or broader inclusion criteria in future studies.

• Rationale: Acknowledging and contextualizing this bias enhances the manuscript's applicability and prevents overgeneralization.

Conclusion

The manuscript presents valuable preliminary data suggesting that creatine supplementation may benefit hemodialysis patients by improving muscle mass and functional capacity. However, the identified significant concerns—lack of a control group, insufficient sample size, and selection bias—fundamentally undermine the study's ability to establish causality, reliability, and generalizability. These issues do not invalidate the research entirely, especially given its pilot study context, but they require substantial revision to ensure scientific soundness.

Additional Recommendation for Future Research

Consider a double-blind RCT with a placebo control group, a more prominent and more representative sample, and monitoring of confounders (e.g., physical activity, diet) to address all three concerns comprehensively.

Reviewer #2: This study evaluated the effect of 8 weeks of daily creatine monohydrate supplementation in patients with end stage CRF on dialysis.

The study reported improvements in SPPB and ICW with an increase in FFM and muscle mass.

Comments to consider:

1. The study was open label and there was no control group. As the authors indicated, most subjects started in the winter and finished in the summer. This was likely one contributor to the higher vitamin D (in addition to the 8 who were supplemented) BUT was also likely associated with more physical activity. Most healthy people and patients tend to do more physical activity in the summer vs winter and this could confound the SPPB scores. The trend for those who had increased (I am assuming that the levels increased over time and not increased above normal) was rather strong (P = 0.085) suggesting that vitamin D could be a factor (keep in mind that the sample size was small for the sub-group).

2. I do not see that the authors instructed the patients to control for diet, hydration status and pre-measurement exercise that can confound the BIA measurements.

3. The lack of change in body weight and a ~ 2 kg increase in FFM implies that body fat was down ~ 2 kg - the authors need to comment on this and provide some explanation.

4. The authors should discuss the limitations of the BIA and the lack of another method for the analysis such as DEXA.

Reviewer #3: This is a very interesting study. The hypothesis is well founded and based on relevant literature and the methods and results are sound.

In my opinion, this study should certainly be accepted for publication, provided some minor revisions are made.

The primarily limitation is the open label nature of the study, but this issue can be resolved by sufficiently stating this.

Comments:

Comment 1: Please include a short mention in the methods what an increase in phase angle represents.

Comment 2: The open label nature of the study should be reflected in the abstract. Please include the words “open label” or state there was no control group.

Comment 3: The term protein-energy-wasting is not mentioned in the introduction or discussion, please incorporate this too.

Comment 4: “Different nutritional supplements have also been explored, However, its implementation is often associated with higher costs and the need for trained personnel to ensure its proper operation.”, please elaborate which supplements are referred to with this statement, or omit alltogether.

Comment 5: The quality of the figures appears to be quite low. Please improve to 300 dpi.

Comment 6: How was intracellular water calculated? Please add.

Comment 7: How was missing data handled in the analyses?

Comment 8: Please define how dry weight was determined.

Comment 9: Please report in SI units, i.e. μmol/L rather than mg/dL.

Comment 10: There is no mentioning of side effects in the results section (only shortly in the discussion). Please report on this in the results section too. Did patients experience for instance bloating/nausea or interdialytic weight gain due to the extra volume?

Comment 12: Do you have any explanation why no effect was seen on handgrip strenght, although this was hypothesized? Please discuss this.

Comment 13: Line 86, omit additional space; Line 100, double end of sentence point after [8-9]

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Reviewer #2: No

Reviewer #3: No

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Attachment

Submitted filename: Raw Project Data -Creatine renal.xlsx

pone.0328757.s003.xlsx (632.1KB, xlsx)
PLoS One. 2025 Jul 31;20(7):e0328757. doi: 10.1371/journal.pone.0328757.r002

Author response to Decision Letter 1


25 Jun 2025

Rebuttal letter

Coyhaique, June 20th, 2025

Dear editor and reviewers,

We would like to thank you for the thoughtful and constructive review of our manuscript. The observations and suggestions provided have certainly prompted us to improve and enrich our paper, making it more rigorous and scientifically robust. In the next paragraphs you will find our responses in the same order as we received the observations and answered point by point. We hope we have been able to respond clearly to each of your comments and suggestions.

MAJOR DETAILS:

1. The structure of the manuscript, especially the METHODS section, needs to be revised. All subsections should be organized in strict order as recommended by CONSORT guidelines for pilot and feasibility studies (Trial design, Participants, Intervention Procedures, Outcomes, Sample Size, Statistical Analysis) as informed in the submission guidelines of PLoS One. Cf, PMID 31608150 or www.equator-network.org.

Answer 1: We thank the editor for raising this point.

During the process of designing our study we consulted the NIH web page: Decision Tool: Does Your Human Subjects Study Meet the NIH Definition of a Clinical Trial? (https://grants.nih.gov/policy-and-compliance/policy-topics/clinical-trials/ct-decision). After careful consideration we thought that our study didn’t meet the “four questions to determine if your study is a clinical trial”, and for this reason we decided to report it as an observational study, following the STROBE guidelines. Although, we agree with the editor, that this study can be also considered an experimental study (a “single-arm repeated-measures feasibility clinical trial”). The revised version of our paper has changed the methods sections and now presents the subsections organized as recommended by CONSORT guidelines (please see CONSORT checklist).

Was the clinical trial registered? Platforms such as ClinicalTrials.gov, OSF, or Figshare are available for this purpose.

Answer 2: Since we did not consider our study to be a clinical trial, it was not enrolled in any of the respective platforms, before starting patient recruitment. We are currently in the process of enrolling our study a posteriori, on clinicaltrials.gov platform (Universidad de Aysén Protocol Record ORD252023, in process). We also reviewed the other two alternatives proposed by the editor (Figshare and OSF), however, these appear to be platforms for sharing data and projects during their development, but did not have the features shared by the platforms suggested by the World Health Organization, grouped in the International Clinical Trials Registry Platform (ICTRP).

As our institution was not previously enrolled in clinicaltrials.gov platform, the process for the institution to be registered and the posterior steps took more time that the one considered for answering the reviewers comments. For this reason, the clinicaltrials.gov enrollment process is still ongoing. We understand this information is important and still pending. As soon as the registration is complete, we will send the information.

Were participants aware that they were receiving the creatine monohydrate supplement (i.e., open-label study), or were they blinded to the intervention (i.e., single-blind)? Consider including this information in the title for greater clarity.

Answer 3: All participants were aware that they were receiving creatine. We included the phrase 'open-label' in the title to clarify this point, and also mentioned it in the creatine supplementation section of the Methods (lines 123-124, clean version).

This study is not a prospective observational study. This is a single-arm repeated-measures feasibility clinical trial (revise Line 126 and line 300). This is an experimental study.

Answer 4: We agree with the editor. Please see our more complete response to this issue, in the comment above (“answer 1”). We have made the changes accordingly.

The authors should clarify which variables are considered primary outcomes and which are secondary outcomes.

Answer 5: We thank the editor for highlighting this important point and allowing us to clarify these aspects.

The primary outcome of this study was to evaluate the physical performance of hemodialysis patients before and after receiving creatine supplementation as assessed by the Short Physical Performance Battery (SPPB).

The secondary outcomes in the current study were to demonstrate changes in muscle strength, measured by hand dynamometry, and changes in body composition, estimated by bioimpedance analysis (skeletal muscle mass, fat free mass, total body water, extracellular water and intracellular water). Additionally, we aimed to evaluate changes in phase angle before and after eight weeks of creatine supplementation.

This information has been explicitly included in the Materials and Methods section, (lines 125-135, clean version).

Was dietary intake or physical activity recorded during the study?

Answer 6: This is a very important point and we, deliberately, decided not to modify or register dietary intake nor physical activity. The former decision was taken based on bibliography that demonstrates that self-monitoring has significant impacts on the measured variables inducing changes on dietary intake and physical activity (Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc., 2011: 111(1):92-102. doi: 10.1016/j.jada.2010.10.008; Tang, HB., Jalil, N.I.A., Tan, CS. et al. Why more successful? An analysis of participants’ self-monitoring data in an online weight loss intervention. BMC Public Health, 2024: 24, 322. doi.org/10.1186/s12889-024-17848-9).

We also did not recommend any changes to the participants' usual diet; instead, we maintained the general dietary recommendations routinely provided by the dietitian at our dialysis unit, primarily focusing on foods low in phosphate, sodium, and potassium (lines 239-241, clean version).

Regarding physical activity, it was not recorded in this first pilot study. We assessed physical performance exclusively using the Short Physical Performance Battery (SPPB). However, we are currently seeking funding to conduct a new study—a randomized, double-blind, multicenter trial with a larger patient population—in which we will include physical activity assessment using the International Physical Activity Questionnaire (IPAQ).

Please provide additional details regarding the blood sampling procedures, the test protocols used to evaluate biomarkers, and the equipment or devices employed in the laboratory.

Answer 7: The national regulations related to the care of patients in chronic hemodialysis, consider the evaluation of specific routine laboratory tests. Some of these tests are performed monthly, while others are carried out quarterly or semiannually. As in many other countries, it is standard practice to collect monthly blood samples prior to dialysis during the second session of the week, which typically falls on Wednesday or Thursday, depending on the patient's schedule. Additionally, post-dialysis blood samples are taken at the end of the same session, primarily to calculate the dialysis dose using widely accepted and standardized formulas such as Kt/V.

The blood samples collected in the dialysis unit are subsequently transferred to the hospital laboratory, which is located in the same building. Biochemical analyses—including electrolytes, calcium, parathyroid hormone (PTH), and vitamin D—are performed using the ARCHITECT ci4100 analyzer (Abbott). Complete blood counts are analyzed using the CELL-DYN Ruby system (Abbott), (lines 149-150, clean version).

Have the formulas been validated in the study population, or at least in a Latin American population? If not, this should be acknowledged as a limitation.

Answer 8: We thank the editor for pointing this out, as we had mistakenly assumed it was a general topic when it is actually part of the specialized technical knowledge handled primarily by professionals working in dialysis units every day. The following is a brief description of the history and use of each of these parameters. For the sake of clarity in the text, we have incorporated a clarifying paragraph and included the article (lines 468 - 472, clean version).

The Kt/V and nPCR formulas are routinely used in dialysis units worldwide. These formulas have been extensively studied and analyzed since the 1980s, when efforts began to establish methods for quantifying dialysis dose and correlating it with patient mortality. Although, to our knowledge, they have not been specifically validated in Latin American populations, they are universally accepted without distinctions based on race or gender. The Kt/V formulas, such as those proposed by Daugirdas are based on objective, patient-specific parameters—including pre- and post-dialysis urea levels, dialysis duration, ultrafiltration volume, and post-dialysis body weight—and do not incorporate race or ethnicity as a variable. Similarly, the nPCR formula, which is used to assess protein catabolism in dialysis patients, also relies on objective measures, such as urea concentrations and body weight, and does not include any race-based adjustments. Unlike certain estimations of glomerular filtration rate (e.g., Modification of Diet in Renal Disease, MDRD), which historically included race-based adjustments, both Kt/V and nPCR are applied uniformly across populations. Therefore, the application of both Kt/V and nPCR in our study population is consistent with international clinical practice.

Based on the aforementioned, we do not believe that the data obtained using these formulas could introduce any bias in the population included in our study.

2. Replace conventional bioelectrical impedance analysis with bioelectrical impedance vector analysis (BIVA). If you used the mBC 565 device, you should present BIVA results—such as the Xc versus R plot normalized by stature, or even specific BIVA using available body girth measurements—instead of relying solely on body composition estimates of SMM, ICW, FFM, ECW, and TBW. While phase angle is a valuable absolute outcome of BIVA, it can be further complemented with indices like the BI index (Height²/Z at 50 kHz) and the impedance ratio (Z at high and low frequencies in kHz).

"An IR ratio closer to 1 is indicative of cell membrane disruption, allowing more fluids, proteins, and electrolytes to shift into the extracellular space [22]. A strong inverse correlation has been reported between the phase angle (PhA) and IR in different clinical populations [22]. PhA is defined as the delay in current flow caused by a reduction in cell membrane capacitance [25]." Cf, PMID: 38488531

Answer 9: Thank you for your valuable comment regarding the inclusion of additional bioimpedance-derived parameters.

Regarding this point, and taking into account new information we obtained while addressing another of your suggestions—specifically the request to provide the coefficient of variation (CV%) of the bioimpedance device used—we have decided to modify the focus of our discussion.

Our search revealed that the only reported coefficient of variation (CV%) for the device refers to skeletal muscle mass, with values of 0.4% for intra-operator and 0.6% for inter-operator assessments. For estimated variables such as total body water (TBW) and extracellular water (ECW), studies in South American populations report a standard error of estimate (SEE) of 1.4 liters for TBW and 0.7 liters for ECW. (seca GmbH & Co. KG. Instructions for use: seca mBCA 525 / seca mBCA 535. Hamburg (Germany): seca GmbH; 2022. p. 126. Available from: https://www.seca.com/).

Therefore, and following your suggestion, we considered it was more appropriate to focus our analysis on variables that are either directly measured or supported by stronger evidence and smaller coefficients of variation. We also considered it important that the information derived from this and future studies be as clear and interpretable as possible for the multidisciplinary teams involved in dialysis care—as well as for the patients themselves. Accordingly, we are now proposing to center our analysis primarily on a variable that is directly calculated by the bioimpedance device—without requiring additional software or complex formulae—thus facilitating both data acquisition and clinical interpretation. This variable is phase angle, which is derived from raw measurements (resistance and reactance) and is provided directly in the device’s standard report, as is also the case with other commercial bioimpedance analyzers, without the need for further manual data processing.

As a second approach, we propose focusing on skeletal muscle mass, as its estimation via bioimpedance is supported by validated cut-off values and has been explored in prior studies—particularly in the context of creatine supplementation in dialysis patients (Marini, et al, see reference number 53). As a secondary analysis, we will describe the changes observed in body water compartments (TBW, ECW, and intracellular water [ICW]), acknowledging that these are less precise estimations.

Based on your suggestions we conducted a re-analysis, exploring additional indices such as the bioimpedance index or impedance ratio. Although valuable as a more direct representation of bioimpedance measurements, we found it difficult for those concepts to have a generalized clinical applicability. These metrics introduce concepts that may be difficult for healthcare teams and patients to interpret and, additionally, require a more exhaustive data extraction and processing effort by the clinical team.

Nevertheless, we conducted bootstrap analyses of the differences in resistance and reactance, and also calculated changes in the bioimpedance index using the same statistical approach. These results are attached in the following table, should you consider them appropriate for inclusion in the final manuscript version (please see table at the Word version uploaded).

3. Statistical analysis.

This section requires revision. Due to the small sample size and the fact that the required statistical power was not achieved (i.e., fewer participants than indicated by the sample size calculation), the authors should avoid null hypothesis significance testing (NHST). Instead, the analysis should focus on estimation methods—reporting 95% confidence intervals and unbiased effect sizes (e.g., Cohen's d, also known as Hedges' g)—as well as robust statistics, such as trimmed means and Winsorized standard deviations. Please re-run the analysis accordingly and confirm whether the findings and conclusions remain consistent. Thanks to your open data sharing, I have attached the raw data Excel file along with an example of the results output from Jamovi, which you may use for organizing and presenting your findings.

Cf,

- Estimation statistics: https://pubmed.ncbi.nlm.nih.gov/24220629/

"ESCI" module in Jamovi

- Robust statistics: https://pubmed.ncbi.nlm.nih.gov/31152384/

"Walrus" module in Jamovi

In addition, please generate and replace current figures with estimation plots to display the repeated measures data across time points (at baseline and after creatine supplementation). Cumming or Gardner-Altman estimation plots are recommended (see examples of these figures in the attached Excel file).

Please add the CV% of the instruments/technician to know the variability of all measures.

Answer 10: Thank you for your suggestions on this point, as they prompted us to delve into a subject we were previously unfamiliar with, robust statistics.

We agree that null hypothesis significance testing is a suboptimal approach for our case. Accordingly, we have removed all p-values. Due to the small sample size, trimming-based tests such as Yuen’s paired t-test resulted in a substantial reduction of effective data, leaving us with only 12 pairs of data to analyze.

Instead, given our small sample size, we are proposing to analyze our data by using another robust statistics approach, which uses bootstrap resampling (10 000 replications) to estimate pre-post differences. We chose this approach because it allows us to preserve all observations and avoid strong distributional assumptions. This is complemented by effect

Attachment

Submitted filename: Response to reviewers.Final.20jun25.docx

pone.0328757.s005.docx (29.8KB, docx)

Decision Letter 1

Diego A Bonilla

Oral creatine in hemodialysis patients increases physical functional capacity and muscle mass, an open label study

PONE-D-25-15109R1

Dear Dr. Basualto-Alarcón,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Prof. Diego A. Bonilla

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Dear Authors,

Thank you for addressing the revisions to enhance the manuscript's scientific robustness and transparency.

To further strengthen the paper, please consider these final suggestions:

- In "Data Analysis Procedures", add a brief statement clarifying how the robust analytical approach mitigated the limitations of not reaching the a priori sample size target.

- Revise some references in the discussion:

RE, "Kim HJ, et al. Amino Acids. 2011;40:1409–18." with "Kreider RB, et al. J Int Soc Sports Nutr. 2025;22(sup1):2488937. doi:10.1080/15502783.2025.2488937, PMID 40198156"

In line 338: Highlight creatine’s role as a conditionally essential nutrient across the lifespan, citing: Kreider RB, et al. Front Nutr. 2025;12:1578564. doi:10.3389/fnut.2025.1578564, PMID 40331098 as well as the already cited paper by Post A, Tsikas D, Bakker SJL (2019).

Reviewers' comments:

Acceptance letter

Diego A Bonilla

PONE-D-25-15109R1

PLOS ONE

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. SPPB score pre and post creatine supplementation in patients with increased vitamin D levels.

    Mean difference (post – pre): 0.85 [95% CI: 0.00–1.54], based on 10,000 bootstrap replicates of the paired differences.

    (DOCX)

    pone.0328757.s001.docx (12.6KB, docx)
    S1 File. CONSORT 2025 editable checklist.

    (DOCX)

    pone.0328757.s002.docx (22.7KB, docx)
    Attachment

    Submitted filename: Raw Project Data -Creatine renal.xlsx

    pone.0328757.s003.xlsx (632.1KB, xlsx)
    Attachment

    Submitted filename: Response to reviewers.Final.20jun25.docx

    pone.0328757.s005.docx (29.8KB, docx)

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files (Data table supplied as Excel file).


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