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| ID | Type | Description | Link |
|---|---|---|---|
| RES0062629 | Other Grant/Funding Number | Canadian Institutes of Health Research |
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| Name | Class |
|---|---|
| Canadian Institutes of Health Research (CIHR) | OTHER_GOV |
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What is this study about?
This clinical trial is designed to learn how potassium from different types of food affects blood potassium levels and overall health in people with chronic kidney disease (CKD, stages 3B-5).
People with CKD are often advised to avoid potassium-rich foods, even though fresh fruits and vegetables are important for good health. However, potassium in processed foods (such as packaged snacks and ready-made meals) may be absorbed differently than potassium from fresh foods.
This study will compare minimally processed vs. ultra-processed foods to determine how different sources of potassium affect potassium levels and help create better dietary recommendations for people with CKD.
What are the study goals?
The study will answer:
Researchers will compare the effects of four diets to understand how low and normal-potassium rich diets from fresh vs. processed foods influence:
What will participants do?
Participants will follow four different 10-day diets over the course of the study. All food will be provided at no cost. These diets are:
There will be 16-day breaks (washout period) between diets where participants return to their normal eating habits.
During the study, participants will:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Low-potassium, ultra-processed diet | Experimental | Participants in this group will follow a diet consisting of ultra-processed foods with restricted potassium content. |
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| Normal potassium-rich, minimally processed diet | Experimental | Participants in this group will follow a diet consisting of minimally processed foods with a normal potassium content. |
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| Normal potassium-rich, ultra-processed diet | Experimental | Participants in this group will follow a diet consisting of ultra-processed foods with a normal potassium content. |
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| Low-potassium, minimally processed diet | Experimental | Participants in this group will follow a diet consisting of minimally processed foods with restricted potassium content. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Low-potassium, ultra-processed diet | Other | A diet restricted in potassium, primarily composed of industrially processed foods such as packaged snacks and processed meals. |
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| Measure | Description | Time Frame |
|---|---|---|
| Fasting Serum Potassium Levels (mmol/L) | This measure assesses the concentration of potassium in participants' blood after fasting overnight. Normal potassium levels typically range from 3.5 to 5.0 mmol/L. | Days 10, 36, 62, and 88. |
| Measure | Description | Time Frame |
|---|---|---|
| Postprandial Whole-Blood Potassium Response (mmol/L) | This measure examines changes in blood potassium levels after a standardized test meal. Blood samples are collected before the meal (baseline) and at regular intervals (15, 30, 60, 90, 120, 150, and 180 minutes) to calculate the area under the curve (AUC), which reflects the total potassium response over time. | 15, 30, 60, 90, 120, 150, 180 minutes post-meal at days 10, 36, 62, and 88. |
| Measure | Description | Time Frame |
|---|---|---|
| Hyperkalemic Events | The frequency and severity of hyperkalemic events (serum potassium ≥5.5 mmol/L) are monitored throughout the study to ensure participant safety. Hyperkalemia episodes are recorded as a count of occurrences for each dietary phase. Evaluated at screening, baseline and Day 10 of each 10-day dietary phase. | Enrollment (Screening), baseline, and days 10, 36, 62, and 88. |
Inclusion Criteria:
Exclusion Criteria:
General
Kidney Function
Intervention-related Conditions
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jenneffer Rayane Braga Tibaes, PhD | Contact | 7804929506 | bragatib@ualberta.ca |
| Name | Affiliation | Role |
|---|---|---|
| Caroline Richard, PhD | University of Alberta | Principal Investigator |
| Branko Braam, MD, PhD | University of Alberta | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32191264 | Background | Picard K, Barreto Silva MI, Mager D, Richard C. Dietary Potassium Intake and Risk of Chronic Kidney Disease Progression in Predialysis Patients with Chronic Kidney Disease: A Systematic Review. Adv Nutr. 2020 Jul 1;11(4):1002-1015. doi: 10.1093/advances/nmaa027. | |
| 38848804 | Background | Picard K, Mager DR, Senior PA, Richard C. Potassium-Based Sodium Substitutes Impact the Sodium and Potassium Content of Foods. J Ren Nutr. 2025 Jan;35(1):64-71. doi: 10.1053/j.jrn.2024.05.010. Epub 2024 Jun 6. |
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We have not yet finalized a plan for sharing individual participant data. The decision will depend on several factors, including participant consent, ethical approval, and institutional policies regarding data privacy and security. Future data sharing may be considered upon additional ethical review and participant consent.
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| Low-potassium, minimally processed diet | Other | A diet restricted in naturally occurring potassium, primarily composed of fresh fruits, vegetables, whole grains, and other minimally processed foods. |
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| Normal potassium-rich, minimally processed diet | Other | A diet with normal potassium content, primarily composed of fresh fruits, vegetables, whole grains, and other minimally processed foods, rich in naturally occurring potassium, following a Mediterranean-style pattern. |
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| Normal potassium-rich, ultra-processed diet | Other | A diet with normal potassium content, primarily composed of industrially processed foods such as packaged snacks and processed meals |
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| Potassium Bioavailability | Potassium bioavailability is assessed by measuring the potassium content in 24-hour urine samples. This provides insights into how much potassium from the diet is absorbed and how much is excreted by the body. | Days 7-9, 33-35, 59-61, 85-87. |
| Body Composition (kg) | This measure estimates participants' fat mass and fat-free mass. Body composition is assessed using bioelectrical impedance analysis, which uses safe, low-level electrical currents to estimate tissue and fluid distribution. Results are reported in kilograms (kg). | Baseline and days 10, 36, 62, and 88. |
| Body water (L) | This measure evaluates fluid status, i which plays a role in potassium handling. Body water is estimated using bioelectrical impedance analysis, which uses safe, low-level electrical currents to estimate tissue and fluid distribution. Results are reported in liters for total, extracellular, and intracellular water. | Baseline and days 10, 36, 62, and 88. |
| 24h blood pressure (mmHg) | Systolic and diastolic blood pressure will be monitored for 24h. | Days 8-10, 34-36, 60-62, and 86-88. |
| Dietary Satisfaction Questionnaire | Self-administered questionnaire to provide feedback on the palatability, variety, and overall acceptability of the study-provided diets. | Days 10, 36, 62, and 88. |
| Potassium Content in Foods (mg) | The potassium content of study-provided meals is measured to ensure accurate dietary potassium levels during each phase. Measured during the menu development phase and throughout the study. | Before enrollment and through study completion, an average of 3 years |
| Phosphorus Content in Foods (mg) | The phosphorus content of study-provided meals is measured to ensure accurate dietary phosphorus levels during each phase.Measured during the menu development phase and throughout the study. | Before enrollment and through study completion, an average of 3 years |
| Sodium Content in Foods (mg) | The sodium content of study-provided meals is measured to ensure accurate dietary sodium levels during each phase. Measured during the menu development phase and throughout the study. | Before enrollment and through study completion, an average of 3 years |
| 30579674 | Background | Picard K. Potassium Additives and Bioavailability: Are We Missing Something in Hyperkalemia Management? J Ren Nutr. 2019 Jul;29(4):350-353. doi: 10.1053/j.jrn.2018.10.003. Epub 2018 Dec 19. |
| 34323307 | Background | Picard K, Picard C, Mager DR, Richard C. Potassium content of the American food supply and implications for the management of hyperkalemia in dialysis: An analysis of the Branded Product Database. Semin Dial. 2024 Jul-Aug;37(4):307-316. doi: 10.1111/sdi.13007. Epub 2021 Jul 29. |
| 35503893 | Background | Picard K RD BSc, Senior PA MBBS PhD FRCP(E) FRCP, Wilmott A BSc, Jindal K MD FRCPC, Richard C RD PhD, Mager DR RD PhD. Comparison of diet quality tools to assess nutritional adequacy for adults living with kidney disease. Can J Diet Pract Res. 2022 Dec 1;83(4):180-185. doi: 10.3148/cjdpr-2022-009. Epub 2022 May 3. |
| 33812736 | Background | Picard K, Senior PA, Adame Perez S, Jindal K, Richard C, Mager DR. Low Mediterranean Diet scores are associated with reduced kidney function and health related quality of life but not other markers of cardiovascular risk in adults with diabetes and chronic kidney disease. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1445-1453. doi: 10.1016/j.numecd.2021.02.002. Epub 2021 Feb 11. |
| 32830022 | Background | Picard K, Griffiths M, Mager DR, Richard C. Handouts for Low-Potassium Diets Disproportionately Restrict Fruits and Vegetables. J Ren Nutr. 2021 Mar;31(2):210-214. doi: 10.1053/j.jrn.2020.07.001. Epub 2020 Aug 20. |
| ID | Term |
|---|---|
| D051436 | Renal Insufficiency, Chronic |
| D006947 | Hyperkalemia |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D014883 | Water-Electrolyte Imbalance |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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