Abstract
Background
The potential protective effects of dietary fiber against all-cause mortality, cardiovascular mortality, and cardiovascular disease in patients with chronic kidney disease have not been definitively established. To verify this relationship, a systematic review and a meta-analysis were undertaken.
Methods
PubMed, The Cochrane Library, Web of Science, Embase, ProQuest, and CINAHL were used to systematically search for prospective cohort studies that investigate the association between dietary fiber and all-cause mortality, cardiovascular mortality, and cardiovascular disease in individuals with chronic kidney disease (CKD). This search was conducted up to and including March 2023.
Results
The analysis included 10 cohort studies, with a total of 19,843 patients who were followed up for 1.5–10.1 y. The results indicated a significant negative correlation between dietary fiber and all-cause mortality among patients with CKD (HR 0.80, 95% CI 0.58–0.97, P < 0.001). Subgroup analysis further revealed that the study population and exposure factors were significantly associated with all-cause mortality (P < 0.001). Increased dietary fiber intake was associated with a reduced risk of cardiovascular mortality (HR 0.78; 95% CI 0.67–0.90) and a reduced incidence of cardiovascular disease (HR 0.87; 95% CI 0.80–0.95) among patients with CKD.
Conclusions
The pooled results of our meta-analysis indicated an inverse association between dietary fiber intake and all-cause mortality, cardiovascular mortality, and cardiovascular disease.
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Introduction
Chronic kidney disease (CKD) is a progressive, incurable disease that is characterized by high morbidity, mortality, and economic burden [1]. More than 10% of the global population suffers from CKD, which amounts to about 800 million people [2]. Mortality is higher in patients with CKD than in those with healthy kidneys, and the risk exponentially increases with disease progression [3]. In 2017, global statistics showed that 1.2 million people died from CKD, and 1.4 million succumbed to cardiovascular disease that was caused by impaired kidney function [4, 5]. Chronic kidney disease is predicted to rank fifth among the leading causes of death by 2040 [6]. As renal function continuously declines, the disease eventually develops into end-stage kidney disease (ESKD). Cardiovascular events are a prevalent complication among patients who are undergoing dialysis, with reported cardiovascular mortality rates being 10–20 times higher in dialysis patients than in the general population [7]. Although dialysis technology has become increasingly sophisticated, the prognosis for ESKD remains poor. Therefore, identifying significant risk and protective factors that are associated with survival in patients with CKD is crucial.
Dietary nutrition is an essential component of CKD therapy [8]. The Kidney Disease Outcomes Quality Initiative (KDOQI) clinical practice guidelines for nutrition in CKD list healthy dietary patterns, such as the Mediterranean diet, the Dietary Approaches to Stop Hypertension (DASH) diet, and plant-based diets, that can improve clinical outcomes in chronic kidney disease [9, 10]. Consuming red and processed meat has been linked to CKD development and more risk of death, while eating fruits and vegetables can protect kidney function and lower the risk of cardiovascular disease in CKD patients [11,12,13]. Over the years, the dietary nutrients of CKD patients have steadily gained attention [14]. Many studies indicated that increasing dietary fiber intake reduces uremic toxins and inflammatory substances, in addition to improving the intestinal barrier in patients with CKD and dialysis [15, 16]. Dietary fiber refers to a heterogeneous group of non-digestible plant polysaccharides that are abundantly found in fruits, legumes, vegetables, and cereals [17]. Multiple studies have highlighted the potential benefits of more consumption of dietary fiber in mitigating the risk of all-cause mortality and cardiovascular disease among those affected by cancer, coronary heart disease, diabetes, and hypertension [18,19,20,21,22,23]. However, there is less scientific evidence highlighting the effects of dietary fiber consumption in improving the prognosis of CKD patients.
The currently available research findings regarding the association between dietary fiber and CKD prognosis are inconsistent. Several studies have indicated a correlation between dietary fiber intake and overall mortality among individuals with CKD [24, 25]. Two observational studies on patients undergoing dialysis reported an inverse association between high fiber intake and a reduced risk of cardiovascular death [26, 27]. On the other hand, several studies have found no statistical association between dietary fiber and the risk of cardiovascular disease in patients who were undergoing peritoneal dialysis (PD) and those with non-dialysis CKD [28,29,30]. Due to disparities in regions, sample sizes, exposure measurements, and adjustments in statistical models, various studies on the same topic may reach different conclusions. Because of contradictory findings, it is still not clear whether dietary fiber has the same beneficial effects in the CKD population. Therefore, both a systematic review and meta-analysis of prospective cohort studies are necessary to verify the relationship between dietary fiber with all-cause mortality, cardiovascular mortality, and cardiovascular disease in patients with CKD.
Methods
The present review was registered with PROSPERO (2023: CRD42023412425) and conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [31].
Search strategy
Systematic searching was conducted by two trained researchers on PubMed, Cochrane Library, Web of Science, Embase, ProQuest, and CINAHL from their inception to March 2023. MeSH terms and free-text searches were used to construct the search formula. The specific search formulas that were used were “Chronic Renal Insufficiencies or Chronic Kidney Failure or Dialysis,” “Dietary fiber,” “Mortality,” “Cardiovascular Diseases,” and “Cohort Studies.” The search strategy that was applied for each database is presented in Supplementary Information 1.
Inclusion and exclusion criteria
The inclusion criteria were as follows: (1) Population: Patients with CKD defined by estimated glomerular filtration rate (eGFR) < 60 mL/min·1.73 m2, including patients who were undergoing hemodialysis (HD) and PD, aged ≥ 18 y; (2) Exposure: Dietary fiber intake or fiber from food sources; (3) Comparison: The highest and lowest intake; (4) Outcomes: Association between dietary fiber and all-cause mortality, cardiovascular mortality, and cardiovascular disease (the results had to include relative risk (RR) or hazard ratio (HR) and corresponding 95% confidence intervals (CIs)); (5) Study design: prospective cohort studies. The exclusion criteria were as follows: (1) Duplicate publication of data; (2) Data not extractable or merged; (3) Non-English language.
Data extraction
Data extraction was independently performed by two reviewers (WG and LHL) using an electronic form to extract the following data: first author’s last name, year of publication, country, study design, follow-up time, age, sample size, study population, exposure assessment, outcomes of interest, exposure, risk ratios (HRs), 95% confidence interval, and adjusted variables.
Quality assessment
Two reviewers (WG and LHL) independently assessed the quality of the included studies. In cases where no consensus was reached, a third reviewer (YXW) was consulted. The quality of the included articles was assessed using the Newcastle–Ottawa Scale (NOS) [32] consisting of eight items that were divided into three dimensions as follows: selection of study subjects; comparability between groups; and outcome measures. Each entry was awarded a maximum of one star, except for items that were related to comparability, which were awarded two stars. The NOS scores ranged from zero to nine stars, with the higher scores being associated with better quality. The quality ratings of the included studies ranged from five to eight stars. The quality ratings of all the included studies are listed in Table S1.
Statistical analysis
Hazard ratios and 95% CIs were extracted from the included studies. Standard errors of HR values were estimated based on 95% CIs. Hazard ratios were log-transformed to facilitate data merging [33]. The heterogeneity within the included cohort studies was tested using Cochrane’s Q test. The I2 statistic P < 0.05 or I2 > 50% indicates significant heterogeneity among studies [34], and a random effects model was used to combine the effect sizes [33]. Sensitivity analysis was performed by sequentially excluding each included study to assess the contribution of a particular study on the overall effect [35]. Subgroup analyses were performed to evaluate the study population and exposure types in the included studies. The construction of a funnel plot was recommended to visually assess the presence of publication bias. Additionally, Egger’s test was employed to examine the asymmetry of the funnel plot. P ≥ 0.05 indicated a lack of publication bias, and P < 0.05 indicated potential publication bias [36]. Meta-analyses were conducted using the software RevMan 5.4 (Cochrane Collaboration, Oxford, UK) and Stata 17.0 (Stata Corp, College Station, TX).
Results
Literature search and study characteristics
A flow diagram illustrating the selection process of the studies is presented in Fig. 1. Overall, 1639 references were first retrieved by conducting a search in an electronic database. Following the removal of duplicate articles, 1490 studies were retained. Titles and abstracts were then screened, leading to the exclusion of 1456 studies which were either reviews or were irrelevant to the current analysis. The full text of the remaining 34 studies was then read, after which 24 were excluded for various reasons, including discrepancies in exposure factors, lack of the outcome of interest, and noncompliance with the inclusion criteria. Thus, 10 cohort studies were incorporated into the meta-analysis [24,25,26,27,28,29,30, 37,38,39].
The main characteristics of the included studies are summarized in Table 1. A sum of 10 cohort studies [24,25,26,27,28,29,30, 37,38,39] that involved 19,843 patients were included in the analysis. The percentage of men in these studies ranged from 38.4% to 100%, and the duration of follow-up was 1.5–10.1 y. The included studies were conducted in different countries, namely, the United States (n = 2), Australia (n = 2), China (n = 4), Korea (n = 1), and Sweden (n = 1). With regard to the research population, six studies [24, 25, 29, 30, 37, 38] reported on patients with CKD, while two [26, 39] investigated HD patients, and two [27, 28] examined PD patients. Various dietary fiber evaluation tools were employed across the studies as follows: a food frequency questionnaire to measure dietary fiber intake in five studies [24, 27, 29, 38, 39]; a 24-h dietary recall questionnaire in three studies [25, 26, 37]; 3- and 7-day dietary records in two studies [28, 30]. It is also important to note that among the included studies, three examined vegetables and fruits as exposure factors, one [37] focused on vegetables, fruits, and dietary fiber as exposure factors, while two other studies [38, 39] considered vegetables and fruits as exposure factors. Dietary fiber intake was the exposure factor in seven of the studies [24,25,26,27,28,29,30]. Most studies adjusted for potential confounding factors such as age, sex, smoking, comorbidities, physical activity, and energy intake.
Dietary fiber with all-cause mortality
Seven studies [24,25,26, 28, 37,38,39] investigated the relationship between dietary fiber intake and all-cause mortality in CKD patients. These studies encompassed 19,086 patients, of whom 4,910 had fatal outcomes. Four studies [24, 25, 37, 38] focused on CKD patients, while three [26, 28, 39], centered on patients undergoing dialysis. Higher dietary fiber intake correlated with lower all-cause mortality in patients with CKD (HR 0.80; 95% CI 0.74–0.86, P < 0.001, Fig. 2A) in a fixed effects model, with no significant heterogeneity across the studies (I2 = 0%, P = 0.91). Sensitivity analysis was conducted by excluding one study at a time based on the leave-one-out method (HR 0.78–0.81, P < 0.001), and the results remained consistent. In a subgroup analysis segmented by the study population, both non-dialysis and dialysis patients exhibited a notable inverse correlation between dietary fiber intake and all-cause mortality (HR 0.80; 95% CI 0.72–0.98, P < 0.001, Fig. 2B). When examining exposure factors in a subgroup analysis, the pooled results remained in line with the primary outcomes (HR 0.78; 95% CI 0.70–0. 87, P < 0.001, Fig. 2C).
Dietary fiber with cardiovascular mortality
Four studies [24, 26, 28, 39] assessed the association between dietary fiber and cardiovascular mortality. A total of 13,864 patients were analyzed, resulting in 1,491 cardiovascular fatalities, three of which were dialysis patients [26, 28, 39] and one was a CKD patient [24]. Higher dietary fiber intake was associated with lower cardiovascular mortality in patients with CKD (HR 0.78; 95% CI 0.67–0.90, P < 0.001, Fig. 3) and no significant heterogeneity was observed across studies (I2 = 0%, P = 0.50). The sensitivity analysis revealed no changes in the result when individually excluded from the analysis (HR 0.66–0.80, P < 0.05).
Dietary fiber with cardiovascular disease
Three studies [27, 29, 30] investigated the association between dietary fiber intake and cardiovascular disease in patients with CKD. A total of 766 patients were assessed, with 339 cardiovascular events. Two of the studies involved patients with CKD [29, 30], while one study involved patients with peritoneal dialysis [27]. Compared with higher dietary fiber intake, lower dietary fiber consumption was associated with a higher risk of cardiovascular disease in patients with CKD (HR 0.87; 95%CI 0.80–0.95, P < 0.05; Fig. 4A), with relatively small heterogeneity across studies (I2 = 36%, P = 0.21). The sensitivity analysis also showed no alterations in the direction of the pooled effect size. In addition, excluding the study conducted by Lu et al. [29] significantly decreased the overall heterogeneity (I2 = 0%, P = 0.60, Fig. 4B). The heterogeneity might be due to its small sample size, short follow-up time, and lack of adjustment for confounding factors.
Publication bias
A visual inspection of the funnel plot (Fig. 5) was combined with the results from the statistical Egger’s test in a bid to assess the possibility of publication bias. No publication bias was indicated in the relationship between dietary fiber and all-cause mortality (p = 0.211).
Discussion
To the best of our knowledge, this is the first meta-analysis to show a link between dietary fiber and all-cause mortality, cardiovascular mortality, and cardiovascular disease in CKD patients. The meta-analysis of 10 cohort studies that involved 19,843 participants indicated that increasing dietary fiber consumption reduces all-cause mortality, cardiovascular mortality, and risk of cardiovascular events in CKD patients. Therefore, we hypothesize that dietary fiber may be one of the factors that influence the prognosis of CKD patients.
Several possible mechanisms have been proposed to explain the notion that dietary fiber intake reduces the risk of mortality and cardiovascular disease in CKD patients. First, serum inflammatory biomarkers are regarded as significant predictors of cardiovascular disease and mortality in CKD patients [15, 23]. The findings of an intervention trial showed a significant reduction in levels of C-reactive protein, interleukin-6, interleukin-8, and tumor necrosis factor-α, following a 6-week period of dietary fiber supplementation at doses of 10 g and 20 g per day, among those undergoing hemodialysis [40]. Dietary fiber may enhance cardiovascular health by inhibiting vascular inflammation. Second, dietary fiber decreases cardiovascular disease and death in CKD and dialysis patients by reducing intestinal uremic toxin molecules [41, 42]. Sirich et al. demonstrated that after six weeks of dietary fiber supplementation in hemodialysis patients, plasma indole sulfate, p-cresol sulfate, and plasma urea nitrogen levels significantly reduced in the fiber group [43]. These substances are strongly associated with the risk of all-cause mortality and cardiovascular disease in patients with CKD and dialysis [44, 45]. Finally, dietary fiber influences cardiovascular and metabolic problems by increasing the formation of short-chain fatty acids, in addition to modifying lipid and glucose metabolism, thereby affecting CKD development and risk [46, 47]. Therefore, CKD patients are advised to follow a multi-fiber and vegetable-based diet to restore intestinal integrity, enhance metabolic status, prevent complications, and postpone CKD progression [48].
Individual nutrient intake may play an essential role in CKD prognosis, but it can be difficult to clinically quantify it. Some dietary patterns that favor CKD outcomes include the DASH diets and Mediterranean diets, whose main shared features include being rich in plant foods and low nutritional acid load [49, 50]. Clinical trials showed that the Mediterranean diet enhances lipid profiles, lowers cardiovascular risk, and improves oxidative stress, inflammation, and insulin resistance [51]. According to Babio et al.’s review [52], the benefits of the Mediterranean diet primarily stem from individual nutrients, such as a high intake of fiber and polyunsaturated fatty acids, along with a low intake of saturated fatty acids. The same study revealed that a fruit- and vegetable-rich alkaline diet can reduce the net acid burden in CKD patients, which may contribute to the preservation of renal function in CKD patients [53]. Although the Mediterranean diet reduces the risk of chronic disease, the fact that the Western diet involves high consumption of red meat, animal fat, pastries and desserts, and low consumption of fresh fruits and vegetables associates it with an increased risk of chronic disease [54]. Compared to non-Western dietary patterns, Western dietary patterns are linked with higher risks of inflammation, cardiovascular disease, and mortality [55, 56], as well as amplification of effects on the incidence and progression of kidney disease.
Although there was no statistical heterogeneity in the included studies, some clinical heterogeneity was noted. First, there are variations in the evaluation of exposure across studies. In the included studies, food frequency questionnaire, 24-h dietary recalls, and dietary records were primarily utilized to evaluate dietary fiber intake. In two trials, the food frequency questionnaire was used to track patients’ average consumption frequency and food consumption during a one-year period. However, the food frequency questionnaire varies by region. For instance, the food frequency questionnaire that was utilized by Chinese scholars contains 15 food categories and 118 food items [29], whereas the one that was used by Korean scholars had 103 food types [24]. Due to differences in regional dietary habits, there may be variations in food types when the questionnaire is used, and the evaluation of dietary fiber intake may also be affected by food composition. Another 24-h dietary recall method is for the researcher to ask the patient to evaluate and describe the quantity and kind of all food items that they would have eaten in the preceding 24 h, and then compute the food intake using food models, food measuring tools, or food maps. Despite the fact that the two included studies were reviewed by well-trained researchers, it is still possible to over- or underestimate dietary fiber intake due to recall bias. The other two studies included employed three-day and seven-day dietary recording methodologies [28, 30]. This approach does not rely on patients’ memories and can record food intake components, volumes, and cooking methods in real-time, but it has limitations. Participants’ compliance may decrease, resulting in a restricted assessment of dietary consumption. Second, the study population consists of non-dialysis CKD patients and dialysis patients. Aside from the variation in disease severity, patients’ nutritional needs are also varied [57]. Subgroup analysis was performed on dialysis and non-dialysis CKD patients, leading to the discovery that increasing dietary fiber intake in both CKD and dialysis patients could improve all-cause mortality. Finally, there were variations in the control of confounding variables. Due to the limited sample size, Lu et al. did not adjust for confounding factors, and some studies did not adjust for body weight and certain comorbidities [25, 27]. When the confounding factors of different studies are inconsistent, there may be a discrepancy with regard to the association between the exposure factors and outcomes, mainly due to confounder bias.
The strength of our study is that it is the first meta-analysis to indicate a link between dietary fiber and all-cause mortality, cardiovascular mortality, and cardiovascular disease in CKD and dialysis patients. However, the current study has several limitations as well that should also be considered when applying the study’s conclusions. First, studies that use food frequency questionnaires or dietary recall to assess dietary fiber intake may be susceptible to recall bias, which could reduce the validity of the study results. Second, the number of studies that were included in this study was limited. Moreover, a dose–response meta-analysis was not conducted. Third, the stage of CKD has a significant impact on mortality. Given the objective limitations, we did not undertake subgroup analysis or separate meta-analysis for the distinct stages of CKD. Future research should focus on the impact of CKD stage on the effects of dietary fiber and its association with all-cause mortality. Fourth, all the included studies were observational, and we were unable to account for the confounding factors that were inherent to the original studies. Despite the fact that the majority of studies accounted for some of the known confounding variables using statistical methods, unidentified confounding variables may still exist and be a source of bias. Finally, the limited number and sample size of the included studies may have negatively affected the study’s power. We hope that well-designed research with larger samples, along with randomized controlled trials will be conducted in the future to back up the findings from this study.
Conclusions
In conclusion, our meta-analysis indicates, for the first time, that increasing dietary fiber consumption reduces all-cause mortality, cardiovascular mortality, and cardiovascular disease in CKD patients. This study provides a reference for future dietary fiber intake in CKD patients, and additional high-quality studies are required to support the findings that are presented in this study.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Kalantar-Zadeh K, Jafar TH, Nitsch D, Neuen BL, Perkovic V (2021) Chronic kidney disease. The lancet 398:786–802
Kovesdy CP (2022) Epidemiology of chronic kidney disease: an update 2022. Kidney Int Suppl 12:7–11. https://doi.org/10.1016/j.kisu.2021.11.003
Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351:1296–1305
Carney EF (2020) The impact of chronic kidney disease on global health. Nat Rev Nephrol 16:251. https://doi.org/10.1038/s41581-020-0268-7
Bikbov B, Purcell CA, Levey AS, Smith M, Abdoli A, Abebe M, Adebayo OM, Afarideh M, Agarwal SK, Agudelo-Botero M (2020) Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The lancet 395:709–733
Kalantar-Zadeh K, Bellizzi V, Piccoli GB, Shi Y, Lim SK, Riaz S, Arronte RU, Lau WP, Fouque D (2023) Caring for patients with advanced chronic kidney disease: dietary options and conservative care instead of maintenance dialysis. J Ren Nutr S1051–2276(23):00022–00025. https://doi.org/10.1053/j.jrn.2023.02.002
de Jager DJ, Grootendorst DC, Jager KJ, van Dijk PC, Tomas LMJ, Ansell D, Collart F, Finne P, Heaf JG, De Meester J, Wetzels JFM, Rosendaal FR, Dekker FW (2009) Cardiovascular and noncardiovascular mortality among patients starting dialysis. JAMA 302:1782–1789. https://doi.org/10.1001/jama.2009.1488
MacLaughlin HL, Friedman AN, Ikizler TA (2022) Nutrition in kidney disease: core curriculum 2022. Am J Kidney Dis 79:437–449
Ikizler TA, Burrowes JD, Byham-Gray LD, Campbell KL, Carrero J-J, Chan W, Fouque D, Friedman AN, Ghaddar S, Goldstein-Fuchs DJ, Kaysen GA, Kopple JD, Teta D, Yee-Moon Wang A, Cuppari L (2020) KDOQI clinical practice guideline for nutrition in CKD: 2020 update. Am J Kidney Dis 76:S1–S107. https://doi.org/10.1053/j.ajkd.2020.05.006
Banerjee T, Liu Y, Crews DC (2016) Dietary patterns and CKD progression. Blood Purif 41:117–122. https://doi.org/10.1159/000441072
Chen X, Wei G, Jalili T, Metos J, Giri A, Cho ME, Boucher R, Greene T, Beddhu S (2016) The associations of plant protein intake with all-cause mortality in CKD. Am J Kidney Dis 67:423–430
Haring B, Selvin E, Liang M, Coresh J, Grams ME, Petruski-Ivleva N, Steffen LM, Rebholz CM (2017) Dietary protein sources and risk for incident chronic kidney disease: results from the atherosclerosis risk in communities (ARIC) study. J Ren Nutr 27:233–242. https://doi.org/10.1053/j.jrn.2016.11.004
Kelly JT, Palmer SC, Wai SN, Ruospo M, Carrero J-J, Campbell KL, Strippoli GFM (2017) Healthy dietary patterns and risk of mortality and ESRD in CKD: a meta-analysis of cohort studies. Clin J Am Soc Nephrol 12:272–279. https://doi.org/10.2215/CJN.06190616
Molina P, Gavela E, Vizcaíno B, Huarte E, Carrero JJ (2021) Optimizing Diet to Slow CKD Progression. Front Med 8:654250
Yang H-L, Feng P, Xu Y, Hou Y-Y, Ojo O, Wang X-H (2021) The role of dietary fiber supplementation in regulating uremic toxins in patients with chronic kidney disease: a meta-analysis of randomized controlled trials. J Ren Nutr 31:438–447. https://doi.org/10.1053/j.jrn.2020.11.008
Ranganathan N, Anteyi E (2022) The role of dietary fiber and gut microbiome modulation in progression of chronic kidney disease. Toxins (Basel) 14:183. https://doi.org/10.3390/toxins14030183
Zhu Q, Yu L, Li Y, Man Q, Jia S, Zhou Y, Zuo H, Zhang J (2022) Association between dietary fiber intake and hyperuricemia among Chinese adults: analysis of the china adult chronic disease and nutrition surveillance (2015). Nutrients 14:1433. https://doi.org/10.3390/nu14071433
Aune D, Chan DSM, Greenwood DC, Vieira AR, Rosenblatt DAN, Vieira R, Norat T (2012) Dietary fiber and breast cancer risk: a systematic review and meta-analysis of prospective studies. Ann Oncol 23:1394–1402. https://doi.org/10.1093/annonc/mdr589
Hoang T, Kim H, Kim J (2020) Dietary Intake in association with all-cause mortality and colorectal cancer mortality among colorectal cancer survivors: a systematic review and meta-analysis of prospective studies. Cancers (Basel) 12:3391. https://doi.org/10.3390/cancers12113391
Iestra JA, Kromhout D, van der Schouw YT, Grobbee DE, Boshuizen HC, van Staveren WA (2005) Effect size estimates of lifestyle and dietary changes on all-cause mortality in coronary artery disease patients: a systematic review. Circulation 112:924–934. https://doi.org/10.1161/CIRCULATIONAHA.104.503995
Kwon Y-J, Lee H-S, Park G, Kim H-M, Lee J-W (2022) Association of dietary fiber intake with all-cause mortality and cardiovascular disease mortality: a 10-year prospective cohort study. Nutrients 14:3089. https://doi.org/10.3390/nu14153089
Soliman GA (2019) Dietary fiber, atherosclerosis, and cardiovascular disease. Nutrients 11:1155. https://doi.org/10.3390/nu11051155
Veronese N, Solmi M, Caruso MG, Giannelli G, Osella AR, Evangelou E, Maggi S, Fontana L, Stubbs B, Tzoulaki I (2018) Dietary fiber and health outcomes: an umbrella review of systematic reviews and meta-analyses. Am J Clin Nutr 107:436–444. https://doi.org/10.1093/ajcn/nqx082
Kwon Y-J, Lee HS, Park GE, Lee J-W (2022) Association between dietary fiber intake and all-cause and cardiovascular mortality in middle aged and elderly adults with chronic kidney disease. Front Nutr 9:863391. https://doi.org/10.3389/fnut.2022.863391
Raj Krishnamurthy VM, Wei G, Baird BC, Murtaugh M, Chonchol MB, Raphael KL, Greene T, Beddhu S (2012) High dietary fiber intake is associated with decreased inflammation and all-cause mortality in patients with chronic kidney disease. Kidney Int 81:300–306. https://doi.org/10.1038/ki.2011.355
Lin Z, Qin X, Yang Y, Huang Y, Wang J, Kong Y, Li Y, Yang S, Lu Y, Zhao Y, Li Y, Wan Q, Wang Q, Huang S, Liu Y, Liu A, Liu F, Hou F, Liang M (2021) Higher dietary fibre intake is associated with lower CVD mortality risk among maintenance haemodialysis patients: a multicentre prospective cohort study. Br J Nutr 126:1510–1518. https://doi.org/10.1017/S0007114521000210
Wang AY-M, Sea MM-M, Ng K, Wang M, Chan IH-S, Lam CW-K, Sanderson JE, Woo J (2019) Dietary fiber intake, myocardial injury, and major adverse cardiovascular events among end-stage kidney disease patients: a prospective cohort study. Kidney Int Rep 4:814–823. https://doi.org/10.1016/j.ekir.2019.03.007
Xu X, Li Z, Chen Y, Liu X, Dong J (2019) Dietary fibre and mortality risk in patients on peritoneal dialysis. Br J Nutr 122:996–1005. https://doi.org/10.1017/S0007114519001764
Lu L, Huang Y-F, Wang M-Q, Chen D-X, Wan H, Wei L-B, Xiao W (2017) Dietary fiber intake is associated with chronic kidney disease (CKD) progression and cardiovascular risk, but not protein nutritional status, in adults with CKD. Asia Pac J Clin Nutr 26:598–605
Xu H, Rossi M, Campbell KL, Sencion GL, Ärnlöv J, Cederholm T, Sjögren P, Risérus U, Lindholm B, Carrero JJ (2016) Excess protein intake relative to fiber and cardiovascular events in elderly men with chronic kidney disease. Nutr Metab Cardiovasc Dis 26:597–602. https://doi.org/10.1016/j.numecd.2016.02.016
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA (2015) Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev 4:1–9
Stang A (2010) Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 25:603–605. https://doi.org/10.1007/s10654-010-9491-z
JJS (2011) Cochrane handbook for systematic reviews for interventions, version 5.1. 0, published 3/2011. Res Synth Methods 2:126–130
Higgins JPT, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21:1539–1558. https://doi.org/10.1002/sim.1186
Patsopoulos NA, Evangelou E, Ioannidis JPA (2008) Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation. Int J Epidemiol 37:1148–1157. https://doi.org/10.1093/ije/dyn065
Sterne JA, Egger M (2001) Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. J Clin Epidemiol 54:1046–1055
Wai SN, Kelly JT, Johnson DW, Campbell KL (2017) Dietary patterns and clinical outcomes in chronic kidney disease: the CKD.QLD nutrition study. J Ren Nutr 27:175–182. https://doi.org/10.1053/j.jrn.2016.10.005
Gutiérrez OM, Muntner P, Rizk DV, McClellan WM, Warnock DG, Newby PK, Judd SE (2014) Dietary patterns and risk of death and progression to ESRD in individuals with CKD: a cohort study. Am J Kidney Dis 64:204–213
Saglimbene VM, Wong G, Ruospo M, Palmer SC, Garcia-Larsen V, Natale P, Teixeira-Pinto A, Campbell KL, Carrero J-J, Stenvinkel P, Gargano L, Murgo AM, Johnson DW, Tonelli M, Gelfman R, Celia E, Ecder T, Bernat AG, Del Castillo D et al (2019) Fruit and vegetable intake and mortality in adults undergoing maintenance hemodialysis. Clin J Am Soc Nephrol 14:250–260. https://doi.org/10.2215/CJN.08580718
Xie L-M, Ge Y-Y, Huang X, Zhang Y-Q, Li J-X (2015) Effects of fermentable dietary fiber supplementation on oxidative and inflammatory status in hemodialysis patients. Int J Clin Exp Med 8:1363–1369
Kuo S-M (2013) The interplay between fiber and the intestinal microbiome in the inflammatory response. Adv Nutr 4:16–28. https://doi.org/10.3945/an.112.003046
Melekoglu E, Samur FG (2021) Dietary strategies for gut-derived protein-bound uremic toxins and cardio-metabolic risk factors in chronic kidney disease: a focus on dietary fibers. Crit Rev Food Sci Nutr 63:1–15
Sirich TL, Plummer NS, Gardner CD, Hostetter TH, Meyer TW (2014) Effect of increasing dietary fiber on plasma levels of colon-derived solutes in hemodialysis patients. Clin J Am Soc Nephrol CJASN 9:1603. https://doi.org/10.2215/CJN.00490114
Moradi H, Sica DA, Kalantar-Zadeh K (2013) Cardiovascular burden associated with uremic toxins in patients with chronic kidney disease. Am J Nephrol 38:136–148. https://doi.org/10.1159/000351758
Wu I-W, Hsu K-H, Lee C-C, Sun C-Y, Hsu H-J, Tsai C-J, Tzen C-Y, Wang Y-C, Lin C-Y, Wu M-S (2011) p-Cresyl sulphate and indoxyl sulphate predict progression of chronic kidney disease. Nephrol Dial Transplant 26:938–947. https://doi.org/10.1093/ndt/gfq580
Birkeland E, Gharagozlian S, Valeur J, Aas A-M (2023) Short-chain fatty acids as a link between diet and cardiometabolic risk: a narrative review. Lipids Health Dis 22:40
Nogal A, Valdes AM, Menni C (2021) The role of short-chain fatty acids in the interplay between gut microbiota and diet in cardio-metabolic health. Gut Microbes 13:1–24. https://doi.org/10.1080/19490976.2021.1897212
Markowiak P, Śliżewska K (2017) Effects of probiotics, prebiotics, and synbiotics on human health. Nutrients 9:1021. https://doi.org/10.3390/nu9091021
Crews DC (2020) Food as medicine for CKD: implications for disadvantaged populations. Clin Nephrol 93:36–41. https://doi.org/10.5414/cnp92s106
Pérez-Torres A, Caverni-Muñoz A, González García E (2022) Mediterranean diet and chronic kidney disease (CKD): a practical approach. Nutrients 15:97. https://doi.org/10.3390/nu15010097
Joshi S, Kalantar-Zadeh K, Chauveau P, Carrero JJ (2023) Risks and benefits of different dietary patterns in CKD. Am J Kidney Dis 81:352–360. https://doi.org/10.1053/j.ajkd.2022.08.013
Babio N, Bulló M, Salas-Salvadó J (2009) Mediterranean diet and metabolic syndrome: the evidence. Public Health Nutr 12:1607–1617
Rodrigues Neto Angéloco L, Arces de Souza GC, Almeida Romão E, Garcia Chiarello P (2018) Alkaline diet and metabolic acidosis: practical approaches to the nutritional management of chronic kidney disease. J Ren Nutr 28:215–220. https://doi.org/10.1053/j.jrn.2017.10.006
Hariharan D, Potluri K, Kramer H (2015) The western diet and chronic kidney disease. Curr Hypertens Rep 17:529. https://doi.org/10.1007/s11906-014-0529-6
Asadi Z, Shafiee M, Sadabadi F, Heidari-Bakavoli A, Moohebati M, Khorrami MS, Darroudi S, Heidari S, Hoori T, Tayefi M, Mohammadi F, Esmaeily H, Safarian M, Ghayour-Mobarhan M, Ferns GA (2019) Association of dietary patterns and risk of cardiovascular disease events in the MASHAD cohort study. J Hum Nutr Diet 32:789–801. https://doi.org/10.1111/jhn.12669
Esposito K, Giugliano D (2006) Diet and inflammation: a link to metabolic and cardiovascular diseases. Eur Heart J 27:15–20
Fouque D, Pelletier S, Mafra D, Chauveau P (2011) Nutrition and chronic kidney disease. Kidney Int 80:348–357. https://doi.org/10.1038/ki.2011.118
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WG and LHL carried out the literature search and drafted the manuscript. YXW and JB were responsible for conceptualization and study design. LHL, YXW, and JB performed the statistical analysis. WG and YLT assisted with the literature search and data extraction and critically reviewed the manuscript. All authors read and approved the final version of the manuscript for publication.
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Gai, W., Lin, L., Wang, Y. et al. Relationship between dietary fiber and all-cause mortality, cardiovascular mortality, and cardiovascular disease in patients with chronic kidney disease: a systematic review and meta-analysis. J Nephrol 37, 77–93 (2024). https://doi.org/10.1007/s40620-023-01808-4
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DOI: https://doi.org/10.1007/s40620-023-01808-4