Keywords
Cardiovascular Disease, Chronic Kidney Disease, Sodium Reduction, Renal Insufficiency, Biomarkers, Clinical Trial
Cardiovascular Disease, Chronic Kidney Disease, Sodium Reduction, Renal Insufficiency, Biomarkers, Clinical Trial
Our protocol manuscript was revised in response to the comments of two peer reviewers. We revised a number of references throughout the manuscript to provide additional clarifications and updates on key literature, including additional details on the activation of renin in Yanomami tribes. We provided additional clarity on the scheduling of patients for randomisation visits – some participants were randomised in advance of their visit to facilitate scheduling of patients. We also provide further detail for obtaining blood samples from participants and initial processing and storage and corrected an oversight that we measured direct renin in participants (rather than plasma renin activity). We have responded to other comments raised by the reviewers, but not modified the manuscript.
See the authors' detailed response to the review by Maristela Böhlke
See the authors' detailed response to the review by Niels Graudal
Effective, simple, inexpensive interventions are essential for population-based strategies to impact blood pressure (BP), which may impact the global burden of cardiovascular disease (CVD) and chronic kidney disease (CKD)1. Low sodium intake (<2.3g/day) is recommended for adults2, with specific emphasis on individuals with hypertension, CVD and CKD. In populations with hypertension (or pre-hypertension) the evidence supporting low sodium intake (compared to moderate intake, 2.3–4.6g/day) is based on Phase II trials reporting a reduction in BP3–6.
Meta-analyses of observational studies estimate a mean BP reduction of 10/5mmHg per 2.3g (100mmol) reduction in daily sodium intake7 and meta-analysis of clinical trials estimate that reducing from moderate to low sodium intake reduced BP by 5.0/2.7mmHg8. It is assumed that all BP reductions will translate into reductions in CVD and CKD progression. However, there is also evidence of activation of the renin-angiotensin-aldosterone system (RAAS) with low sodium intake in the short-term9 and with persistent effects10,11 (e.g. Yanomami tribes in northwestern Brazil), and prospective cohort studies report a J-shaped association of sodium intake with cardiovascular health1,12. There have also been inconsistent reports about the association between sodium intake and biomarkers, including inflammatory biomarkers (C-reactive protein (CRP) and interleukin 6 (IL-6)), markers of cardiac injury/strain (high sensitivity troponin T (hsTnT) and pro B-type natriuretic peptide (proBNP) and of salt sensitivity (uromodulin)13–16.
For patients with CKD, no moderate or large-scale clinical trials have evaluated the effect of sustained low sodium intake on renal outcomes. Our systematic review of the association between dietary sodium intake/excretion and renal function showed that there is evidence of an association between high sodium intake, but not moderate intake, and glomerular filtration rate (GFR) decline among participants with CKD17. Subsequent, analyses of additional observational studies reported no association between urinary sodium excretion and renal outcomes18–20. A prospective cohort study from Korea reported a U-shaped association between sodium intake and CKD incidence21. A further meta-analysis of clinical trials of dietary sodium reduction in CKD included 11 trials (n=738) and reported that moderate sodium restriction reduced blood pressure and urinary protein excretion22.
These competing observations have cast considerable uncertainty about the optimal level of sodium intake, reflected in differences in guidelines and recommendations23. Therefore, the sustained effects of long-term low-sodium intake on biomarkers of cardiovascular and kidney function is a critical next step, necessary to inform the conduct of future definitive randomized controlled trials.
Both trials were designed to explore the effects of an educational intervention to reduce sodium intake targeting low levels, compared to usual care. The Sodium In Take In Chronic Kidney Disease (STICK) clinical trial was designed to explore the effect of the intervention in adults with non-severe CKD on decline in renal function over two years. The Clarifying Optimal Sodium Intake in Populations (COSIP) clinical trial was designed to explore the effect of the intervention in adults without cardiovascular disease on a panel of cardiovascular biomarkers, over two years.
Both trials are Phase IIb randomised, two-group, parallel, open-label, controlled trials conducted at a single-centre. Blinding of participants and the research dietitian was not possible for practical reasons. Participants were recruited from hospital-based outpatient clinics or attending general practitioners in the catchment area of a tertiary referral hospital in Galway, Ireland. Potentially eligible participants were invited to participate and provided written informed consent before entering a screening period, consisting of an abbreviated food frequency questionnaire (FFQ; see extended data24), medical history, laboratory investigations, baseline physical measurements (height, weight, body mass index (BMI), hip and waist circumference) and blood pressure (BP). Office BP was measured using a calibrated, automated oscillometric device and followed by a 24-hour ambulatory blood pressure monitor (ABPM) using the Spacelabs ABP 90217 device, where BP was measured every 30 minutes between 7am and 10pm, and every 60 minutes between 10pm and 7am. Given the complementary nature of both trials, participants were screened for both trials simultaneously, but only deemed eligible and randomized into STICK or COSIP. Rescreening of participants who failed the screening visit due to a blood pressure result or medication change was permitted after a minimum of three months.
Inclusion criteria for both trials included age >40 years, stable blood pressure, unchanged anti-hypertensive medications, willingness to modify dietary intake and written informed consent (Table 1). Initially, we also required dietary assessed sodium intake of >2.3g/day, but removed this after the Vanguard phase due to weak correlation between the dietary sodium assessment and baseline 24 hour urine sodium collection. Exclusion criteria for both trials included abnormal sodium handling, heart failure, high dose diuretic use, immunosuppressive medication use, unable to comply with intervention or study visits, pregnancy or lactation, postural hypotension, cognitive impairment, high or low BMI or inclusion in another clinical trial.
STICK | COSIP | |
---|---|---|
Inclusion Criteria | ||
Age ≥40 years | ✓ | ✓ |
Average Office BP<160/95mmHg | ✓ | ✓ |
24hour average from ABPM<150/90mmHg | ✓ | ✓ |
Anti-hypertensive and/or diuretic medications unchanged for three months | ✓ | ✓ |
Self-reported willingness to modify dietary intake over sustained period | ✓ | ✓ |
Written informed consent | ✓ | ✓ |
Sodium Intake>2.3g/day from FFQ ** | ✓ | ✓ |
Most recent eGFR within 3 months | ✓ | ✗ |
eGFR 30–60/min/1.73m2 on ≥2 occasions ≥3 months apart | ✓ | ✗ |
Exclusion Criteria | ||
Abnormal Sodium Handling (Bartter syndrome, syndrome of inappropriate antidiuretic hormone (SIADH) secretion, diabetes insipidus or hyponatraemia (serum sodium <125mmol/L) | ✓ | ✓ |
Heart Failure (New York Heart Association (NYHA) Class III or IV symptoms or known left ventricular ejection fraction 30%) | ✓ | ✓ |
Total daily diuretic therapy dose exceeding frusemide 80mg, bumetanide 2mg, hydrochlorothiazide 50mg, bendroflumethiazide 2.5mg, indapamide 2.5mg, metolazone 2.5mg or the use of both a loop and thiazide diuretic) | ✓ | ✓ |
Use (within one month) of tacrolimus, cyclosporine, azathioprine or mycophenolate mofetil | ✓ | ✓ |
Unable to follow educational advice | ✓ | ✓ |
Prescribed high-salt diet, low-salt diet or sodium bicarbonate | ✓ | ✓ |
Pregnancy or lactation | ✓ | ✓ |
Unlikely to comply with study procedures or follow-up visits | ✓ | ✓ |
Symptomatic or treated postural hypotension | ✓ | ✓ |
Known dementia or cognitive impairment | ✓ | ✓ |
BMI<20 or >40kg/m2 | ✓ | ✓ |
Participating in another clinical trial or previous study allocation | ✓ | ✓ |
Acute Kidney Injury (AKI) (doubling of baseline serum creatinine within 3 months) or Rapidly declining eGFR (≥10ml/ min/1.73m2) over 6 months | ✓ | ✗ |
Known Kidney Disease (Post-infectious glomerulonephritis, IgA nephropathy, thin basement membrane disease, Henoch-Schonlein purpura, proliferative glomerulonephritis, membranous nephropathy (including lupus), rapidly progressive glomerulonephritis, minimal change disease or focal segmental glomerulosclerosis) or dialysis or renal transplant (prior, current or planned)) | ✓ | ✗ |
NSAID use for >=3 days per week (excluding aspirin <100mg/day) | ✓ | ✗ |
Known CKD or most recent eGFR≤60/min/1.73m2 | ✗ | ✓ |
Previous Cardiovascular Disease (Myocardial infarction, percutaneous coronary intervention, coronary artery bypass grafting or stroke) | ✗ | ✓ |
BP=Blood Pressure; ABPM=Ambulatory Blood Pressure Monitor; FFQ=Food Frequency Questionnaire; eGFR=estimated Glomerular Filtration Rate; BMI=Body Mass Index; NSAID=non-steroidal anti-inflammatory drug; CKD=chronic kidney disease
**Sodium Intake removed from Inclusion Criteria during trial due to weak correlation between dietary sodium assessment and baseline 24hour urine sodium collection
All STICK participants were required to have a stable estimated glomerular filtration rate (eGFR) of 30–60ml/min/1.73m2 within three months of randomization. Participants were excluded for recent acute kidney Injury (AKI), rapidly declining eGFR25, known glomerular disease or current use of non-steroidal anti-inflammatory drugs (NSAID).
Once confirmed eligible, participant details were entered into a trial-specific, secure, web-based randomisation service. In STICK, we used a minimization strategy (including previous attendance at a dietitian, diabetes, hypertension and strata of eGFR [30–39, 40–49 and 50–60ml/min/1.73m2]) to support computer-generated block randomization with 1:1 assignment to intervention or usual care. In COSIP, we used computer-generated block randomization to 1:1 assign participants to intervention or usual care. Variable block sizes were used to minimize the occurrence of chance imbalances and to preserve allocation concealment. After confirmation of eligibility, participants may have been randomised in advance to facilitate the scheduling of individuals to attend distinct clinics for either the intervention or usual care arms.
Usual care: All participants received a one-to-one, dietitian-developed healthy eating guidance session26, administered by a trained member of the research team, over 15 minutes following randomization, in addition to written materials emphasizing key messages27. Telephone contact was made at months nine and 15 to follow-up on key points on healthy eating (each 15 minutes) with a total contact time of 45 minutes over the course of the trials. Participants randomised to usual care did not meet with the dietitian nor did they receive focused recommendations on sodium intake (other than general guidance contained in 'Health Food for Life'27).
Sodium reduction intervention: In addition to healthy eating guidance sessions, those randomised to the intervention received specific counseling on behavioural and environmental factors to promote reduction in sodium intake to a target of <100mmol/day (<2.3g/day). A research dietitian developed the specific components of the intervention, based on the trial of non-pharmacologic interventions in the elderly (TONE) trial28. A registered dietitian delivered the intervention using an operations manual to standardize delivery within and across participants. In circumstances where the research dietitian was unavailable, an appropriately trained delegate delivered the intervention. The intervention targeted: (i) reducing use of ‘salt’ during food preparation (encouraging the use of herbs and/or spices); (ii) reducing table ‘salt’ use; (iii) encouraging fresh food consumption over processed or canned foods; (iv) identification of sodium content in foods; (v) modifying the consumption of foods with high sodium content; and (vi) advice on eating outside of home. After determining health literacy, using the Newest Vital Sign UK (NVS-UK)29, participants were counselled and behaviour change techniques (goal setting, self-monitoring, frequent contact, feedback and re-enforcement, problem solving and motivational interviewing) were employed to reduce sodium intake by setting specific, measurable, achievable, realistic and timely (SMART) goals for the individual. Tools used included 24-hour dietary recall (analysed using Nutritics30), three-day food diaries and sodium behavior checklists.
The intervention was delivered at all patient contacts up to and including T7 (21 month) visit (Table 2) with approximately 225–255 minutes of in-person contact and 155 minutes of telephone contact over the course of the trials. Participants had in-person, one-to-one sessions with the study dietitian at randomization (T0), vanguard (TV), where relevant, and T2; group sessions at T1 and T4. In addition, each participant received five separate 15 min telephone calls (Week 1, Week 2, Week 4, Week 6 and Week 10) and 20 min telephone calls at T3, T5, T6 and T7.
Mode | Structure | Duration | Purpose | |
---|---|---|---|---|
Usual Care | ||||
T0 (Randomisation) | In Person | 1:1 | 15 min | Provide Healthy Food for Life booklet and Food Pyramid Poster, set key messages |
T3 (9 Months) | Phone call | 1:1 | 15 min | Review key messages review progress/changes, troubleshoot |
T5 (15 Months) | Phone call | 1:1 | 15 min | Review key messages review progress/changes, troubleshoot |
Intervention | ||||
T0 (Randomisation) | In Person | 1:1 | 60 min | Assess diet history, feedback, set SMART goals, fact sheet on salt, food label card |
Call 1 (Week 1) | Phone call | 1:1 | 15 min | Review SMART goals, problem solving, review goals |
Call 2 (Week 2) | Phone call | 1:1 | 15 min | Review SMART goals, review salt fact sheet, problem solving, review goals |
Call 3 (Week 4) | Phone call | 1:1 | 15 min | Review SMART goals, review salt fact sheet, check understanding of high sodium foods, problem solving, review goals |
TV (Vanguard)* | In Person | 1:1 | 30 min | Review change from baseline, feedback, review SMART goals |
Call 4 (Week 6) | Phone call | 1:1 | 15 min | Review SMART goals, problem solving, review goals |
Call 5 (Week 10) | Phone call | 1:1 | 15 min | Review SMART goals, problem solving, review goals |
T1 (3 Months) | In Person | Group | 60 min | Presentation on reducing salt intake, case study discussion, participants identify key take home messages |
T2 (6 Months) | In Person | 1:1 | 60 min | Review change from baseline (+/- Vanguard), feedback, review SMART goals |
T3 (9 Months) | Phone Call | 1:1 | 20 min | Review content from T1, review SMART goals, review sodium habits, problem solving, review goals |
T4 (12 Months) | In Person | Group | 60 min | Presentation on reading food labels and identifying sodium content in foods, review own food packaging, review food label card |
T5 (15 Months) | Phone Call | 1:1 | 20 min | Review content from T4, review SMART goals, review sodium habits, problem solving, review goals |
T6 (18 Months) | Phone Call | 1:1 | 20 min | Review SMART goals, review sodium habits, problem solving, review goals |
T7 (21 Months) | Phone Call | 1:1 | 20 min | Review progress with SMART goals, review sodium habits, problem solving, review goals |
To minimize participant inconvenience and burden, six or seven in-person visits were considered essential (screening, randomization (T0), Tv (first 20 participants for each trial), T1, T2, T4 and T8) and the remaining four follow-up visits were carried out by telephone (T3, T5, T6 and T7) (Table 3). Post-trial, participants will return to routine clinical care.
T-1 | T0 | **TV | T1 | T2 | T3 | T4 | T5 | T6 | T7 | T8 | |
---|---|---|---|---|---|---|---|---|---|---|---|
Screening | Time 0 | 1 Month | 3 Months | 6 Months | 9 Months | 12 Months | 15 Months | 18 Months | 21 Months | 24 Months | |
Eligibility Criteria | X | ||||||||||
Informed Consent | X | ||||||||||
Demographics | X | X | X | ||||||||
Medications | X | X | X | X | X | X | X | X | X | X | X |
Physical Measurements | X | X | X | ||||||||
Office BP | X | X | X | X | X | X | |||||
Abbreviated FFQ | X | X | |||||||||
24-hour ABPM | X | X | |||||||||
eGFR | X | X | X | X | X* | X | |||||
Healthy Eating Advice | X | X | X | ||||||||
Eligibility Check | X | ||||||||||
Randomisation | X | ||||||||||
Medical History | X | ||||||||||
Blood Biochemistry | X | X | X | X | |||||||
Proteinuria | X | X | X | ||||||||
Biobank Samples | X | X | X | ||||||||
24-hour urine | X | X | X | X | X | X | |||||
2nd morning fasting urine | X | X | X | ||||||||
In person visits | X | X | X | X | X | X | X | ||||
Telephone visit | X | X | X | X | |||||||
Adherence and Outcomes | X | X | X | X | X | X | X | X | X |
The following data were collected using standardised case report forms (CRF): demographics, physical measurements (BP, height, weight, waist and hip circumference), medications, medical history, lifestyle factors, randomization allocation, diet, delivery of healthy eating guidance session, delivery of the sodium reduction intervention, clinical events, hospitalisations, adverse events and laboratory results (see extended data24). Diet was measured using FFQ, food diaries and a questionnaire focused on sodium-specific behaviours (see extended data24). Blood samples were drawn at the time of clinic attendance from participants in the seated position and using a tourniquet. For renin and aldosterone, an EDTA sample was drawn and spun at 2000g for 10minutes at 20 degrees Celsius within 30minutes of phlebotomy. Plasma was then frozen at -20 or -80 degrees Celsius until periodically transferred to our local laboratory using styrofoam boxes and cooler packs to ensure samples did not defrost. Laboratory samples were analysed at the Galway University Hospital laboratory using standardised storage, handling and analytical procedures. We measured serum sodium, potassium, creatinine, glycated haemoglobin (HbA1c), high-density lipoprotein (HDL), low-density lipoprotein (LDL), direct renin, aldosterone, high sensitivity troponin T (hsTnT), Pro B-type Natriuretic Peptide (proBNP), C-reactive protein (CRP), urine protein creatinine ratio (uPCR), 24 hour urine (sodium, potassium, creatinine and protein) and fasting morning urine (sodium, creatinine and protein). This included serum creatinine, measured using methodology traceable to an isotope dilution mass spectrometry (IDMS) reference measurement. Samples were transported to the laboratory within one hour of blood draw and analyses were conducted using standardized laboratory methods on the Roche Cobas® 8000 modular analyser series (Roche Diagnostics Limited, West Sussex, UK), except for HbA1c which was measured using capillary electrophoresis on the Sebia Capillarys 3 automated haemoglobin analyser using the Sebia HbA1c kit (2017/05). After additional consent was obtained, additional blood and urine samples, as well as PAXgene samples for RNA measurement, for biobanking were taken at T0, T1 and T8. To ensure high quality data collection, staff received training on completing paper-based CRF and additional training on entering data into the study database, which included database integrity checks to ensure data consistency.
In STICK, the primary outcome measure is change in 24-hour urinary creatinine clearance over two years. We adopt this approach, rather than eGFR, to improve reliability and validity of the primary outcome measure. In COSIP, the primary outcome measure is change in cardiovascular biomarkers (renin, aldosterone, hsTnT, proBNP and CRP) over two years. For COSTICK, the primary outcome measures are creatinine clearance, renin, aldosterone, hsTnT, proBNP and CRP. Secondary outcomes included change in (i) 24 hour ABPM, (ii) 24 hour urine sodium excretion, (iii) 24 hour urine protein, (iv) Modification of Diet in Renal Disease (MDRD) eGFR25, (v) Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) eGFR31, (vi) Kidney Disease Improving Global Outcomes (KDIGO) CKD risk category32 and (vii) change in PAXgene RNA, and number of (viii) cardiovascular events (acute coronary syndrome, myocardial infarction, heart failure or stroke), (ix) syncope events (prescyncope, syncope, hypotension or orthostatic hypotension) and (x) renal events (acute kidney injury, dialysis, transplant or end stage renal disease).
An adverse event is defined as any untoward medical occurrence, including an exacerbation of a pre-existing condition or abnormal laboratory finding, with or without a causal relationship with sodium intake. Participants were monitored for adverse events from informed consent through completion of the final study visit. All adverse events were captured on case report forms, entered into the clinical trial database and coded using the Medical Dictionary for Regulated Activities (MedDRA). Annual line listings of adverse events were reported to the ethics committee.
The study intervention was withdrawn if: (i) symptomatic orthostatic hypotension with systolic BP ≤100mmHg; (ii) diagnosis of glomerular disease (as listed in exclusion criteria); (iii) diagnosis of ESRD, initiation of dialysis or renal transplantation; (iv) prescription of sodium bicarbonate therapy or treating physician recommended against sodium restriction; (v) pregnancy; or (vi) acquired new dietary requirement that precluded the intervention. These participants were encouraged to complete all remaining follow-up visits.
For STICK, we assumed a mean decline in creatinine clearance of 8±5ml/min/1.73m2 over the trial period33 and estimated a minimum clinically meaningful effect size of 25% relative reduction. Based on an alpha of 0.05 and power of 80%, a per group sample size of 99 participants was required. Assuming a dropout rate of 5% participants, a net crossover/non-adherence of 5% in favour of the control group, we required a total sample size of 224 participants. For COSIP, we based sample size on the ability to detect an effect size of 0.40 in the between-group difference in mean change scores of biomarkers (80% power and alpha 0.05), equating to a difference of 0.4 of the standard deviation of the change in biomarker. As the COSIP trial is considered exploratory, each biomarker is tested at significance threshold p<0.05. Assuming a dropout rate of 5% participants, a net crossover/non-adherence of 15%, we require a total sample size of 286 participants. Combining COSIP and STICK trials resulted in the ability to detect a smaller effect size.
Descriptive statistics will be used to describe baseline characteristics, the flow of trial participants and the amount of missing data for predictor and outcome variables. All losses to follow-up and dropouts will be accounted for and reasons documented. Participants randomised but who did not attend the randomisation visit will be included in analyses. Suitable transformations will be used if the underlying normality assumption is a concern and the bootstrap procedure and a comparison of the median change will be used if a suitable transformation cannot be made. All tests of significance will be two-sided using an alpha of 0.05 for statistical significance and will not be adjusted for multiple testing due to the exploratory nature of the trials. The primary analysis will use the intention-to-treat dataset for all outcomes. A secondary per-protocol analysis will also be carried out, with post randomisation exclusions due to ineligibility, non-compliance, loss to follow-up or missing data.
The primary analysis will consist of fitting a separate linear, multivariable analysis to each of the six outcomes: renin, aldosterone, creatinine clearance, pro-BNP, troponin, and CRP, and secondary outcome measure of 24-hour ABPM. We will review data for implausible values and exclude extreme changes (e.g. change in renin or aldosterone impacted by change in medications). Corresponding baseline measurements of each biomarker will be included as covariates in the model, along with a factor variable for the sub-study in which each patient was recruited, age, sex and whether the participant had attended a dietitian in the 6 months previous to baseline (incident vs prevalent participant). To ensure estimates are more robust to potential effects of missing data at 24-month follow-up, an inverse probability weighting will be applied in all regression analyses to account for the differing propensity of patients with certain baseline characteristics to be included in the final analysis. All covariates included in the regression model will be included in the missingness model, including the other 5 primary endpoints.
Reporting of primary analysis results will consist of tabulations of the unadjusted and adjusted mean differences at 24 months between intervention and control groups for each biomarker, with confidence intervals of these parameter estimates and p-values, along with descriptive unadjusted mean differences at 24 months between intervention and control groups. A forest plot of the standardised, adjusted mean difference for all 6 endpoints will also be generated. Statistical tests of interaction (Wald) will be used for all subgroup analyses. A sensitivity analysis will be performed to assess the effect of participant reported compliance on treatment effect. Due to the duration of this trial, we expect to have a complete dataset for covariate and outcome data for 90% of participants. Complete case analysis will be used to handle missing data. A sensitivity analysis with multiple imputation will also be carried out if there is >10% missing data for covariates.
A data and safety monitoring board (DSMB), chaired by a clinician scientist with experience in clinical trials, reviewed the progress of the trials and safety data when 50% of participants completed one-year follow-up, when the DSMB recommended that the trials proceed. An independent study monitor reviewed the integrity of study data at multiple timepoints throughout the trials and ensured that study procedures were compliant with the International Conference on Harmonisation Good Clinical Practice (ICH-GCP).
These trials are single centre studies with all activities conducted and coordinated at the HRB Clinical Research Facility Galway (HRB-CRFG). The investigators did not implement any deviation from, or changes to, the trial protocols without review and documented approval from the research ethics committee. All participants provided written informed consent before any study specific activities were completed, and all data was handled with strict privacy and electronic data security standards, using unique subject identifiers to prevent unauthorised identification of research participants. Pseudononymised data were entered into a study-specific, secure, password-protected clinical trial database with an audit trail.
The results of the trials will be presented at scientific meetings (local, national and international), patient-oriented meetings and published in peer-reviewed publications. The HRB-CRFG and investigators have the ownership of all data and results collected during the trials and have full rights to publication, without restriction. For all publications and presentations from this work, authors will be required to make substantial contributions to (i) concept or design; acquisition, analysis or interpretation of data; (ii) drafting or critically revising manuscripts and (iii) give final approval of the version to be published, in line with the International Committee of Medical Journal Editors guidelines for authorship. The datasets will not be made publicly available, instead they will be maintained at HRB-CRFG and the investigators must review and approve all requests for access to the data.
Clinical trials that challenge current guidelines are difficult but are of considerable importance, with major implications for management of patients and populations. For those consuming high sodium diets (>200mmol/day), there is convincing evidence of negative associations including reduced eGFR17,34, increased proteinuria17,35,36 and adverse associations with blood pressure and CVD. However, there is major uncertainty about whether low sodium intake is associated with more benefit than harm, which needs to be interrogated with clinical trials. Dietary trials over medium to long durations are particularly challenging, but data from rigorously conducted trials are necessary to appropriately inform guidelines. These trials will help determine the feasibility of sodium restriction to current guideline levels and determine if this reduction in intake is sustainable. The results will provide preliminary information, to guide future definitive clinical trials, if indicated.
Dietary sodium intake is modifiable, as evidenced by numerous clinical trials of standardized educational interventions that successfully reduced dietary sodium intake to low intake range over the short-term28,37, including a small, short duration feasibility clinical trial in CKD38. It is clear from such trials that a sodium reduction intervention strategy will reduce sodium intake, but the amount and sustainability of the reduction is less clear. We designed our intervention based on the TONE trial28, targeting non-discretionary sources of sodium intake. After the Vanguard phase (first 20 participants in each trial) was completed, we observed that mean 24 hour urine sodium excretion reduced from 163(62)mmol/day to 125(53)mmol/day, suggesting that the intervention was effective in lowering sodium intake.
Our trials have a number of limitations. First, the trials are open-label as it wasn’t practical to blind participants, investigators or study staff to the intervention. However, to minimize the risk of bias we will perform blinded outcome assessment including blinding of the trial statistician. Second, participants in the usual care arm may receive non-study recommendations on sodium reduction, reducing the likelihood of observing the effect from our intervention, biasing toward the null. To minimise this risk of bias, treating clinicians were asked not to explicitly discuss sodium reduction with participants unless strongly indicated and the trial intervention was to be withdrawn. Similarly, as contamination is a threat to trial validity, only participants randomized to the intervention met with the study dietitian, participants were instructed not to discuss the educational sessions with other participants and participants were invited to attend follow-up visits on days based on study allocation. Third, there is a risk of volunteer bias, as participants may differ from non-participants, impacting trial generalizability. We will measure the potential effect of this bias by comparing non-participants and participants. Fourth, the primary outcome measures are changes in biomarkers rather than hard clinical endpoints, which would require a trial of longer duration (to accumulate a sufficient number of clinical events) to demonstrate a treatment effect. The findings of our trials can be used to inform future, larger, multicenter trials. Fifth, individuals with CKD may have previously consulted with a dietitian and received advice on lowering sodium intake, limiting their ‘responsiveness’ to our intervention. Therefore, we included previous dietitian review in the minimization strategy for randomization in STICK; in addition, we believe that the trial intervention is more intensive than standard care. Finally, there is a risk of non-compliance with the intervention and a reliance on participant self-reported adherence as this is a behavioural intervention trial. To maximise compliance, we: (i) self-selected participants most likely to adhere to a behavioural intervention; (ii) implemented standardised telephone follow-up to provide additional advice and support, answer questions, reinforce key messages and remind participants about visits; and (iii) provided written materials on the study interventions. We also completed multiple 24-hour urine collections for sodium to measure objectively measure adherence, although these collections also have limitations39.
Ethics approval and consent to participate: The STICK trial was conducted in accordance with (ICH-GCP)40 and the trial protocol received approval from the Galway University Hospitals Research Ethics Committee (Ref C.A. 1267). The COSIP trial was conducted in accordance with (ICH-GCP)40 and the trial protocol received approval from the Galway University Hospitals Research Ethics Committee (Ref C.A. 1182). Written informed consent was obtained from all participants before any study-specific activity was carried out.
Open Science Framework: Clarifying Optimal Sodium InTake In Cardiovasular and Kidney (COSTICK). https://doi.org/10.17605/OSF.IO/HYKT524
This project contains the following extended data:
Open Science Framework: SPIRIT Checklist for “Clarifying Optimal Sodium In Take In Cardiovasular and Kidney (COSTICK) Diseases: a study protocol for two randomised controlled trials”, https://doi.org/10.17605/OSF.IO/HYKT524
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain deciation).
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Cardiology. Epidemiology.
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Nephrology
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. Graudal N, Hubeck-Graudal T, Jurgens G: Influence of sodium intake and change in sodium intake on plasma-renin in man. EClinicalMedicine. 2021. Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Health effects of sodium
Alongside their report, reviewers assign a status to the article:
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