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A Comparison of Treating Metabolic Acidosis in CKD Stage 4 Hypertensive Kidney Disease with Fruits and Vegetables or Sodium Bicarbonate
Open accessAbstract
BACKGROUND AND OBJECTIVES: Current guidelines recommend Na(+)-based alkali for CKD with metabolic acidosis and plasma total CO2 (PTCO2) < 22 mM. Because diets in industrialized societies are typically acid-producing, we compared base-producing fruits and vegetables with oral NaHCO3 (HCO3) regarding the primary outcome of follow-up estimated GFR (eGFR) and secondary outcomes of improved metabolic acidosis and reduced urine indices of kidney injury. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Individuals with stage 4 (eGFR, 15-29 ml/min per 1.73 m(2)) CKD due to hypertensive nephropathy, had a PTCO2 level < 22 mM, and were receiving angiotensin-converting enzyme inhibition were randomly assigned to 1 year of daily oral NaHCO3 at 1.0 mEq/kg per day (n=35) or fruits and vegetables dosed to reduce dietary acid by half (n=36). RESULTS: Plasma cystatin C-calculated eGFR did not differ at baseline and 1 year between groups. One-year PTCO2 was higher than baseline in the HCO3 group (21.2±1.3 versus 19.5±1.5 mM; P<0.01) and the fruits and vegetables group (19.9±1.7 versus 19.3±1.9 mM; P<0.01), consistent with improved metabolic acidosis, and was higher in the HCO3 than the fruits and vegetable group (P<0.001). One-year urine indices of kidney injury were lower than baseline in both groups. Plasma [K(+)] did not increase in either group. CONCLUSIONS: One year of fruits and vegetables or NaHCO3 in individuals with stage 4 CKD yielded eGFR that was not different, was associated with higher-than-baseline PTCO2, and was associated with lower-than-baseline urine indices of kidney injury. The data indicate that fruits and vegetables improve metabolic acidosis and reduce kidney injury in stage 4 CKD without producing hyperkalemia.
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“Both treatments ameliorated metabolic acidosis and indices of kidney injury and did so without producing hyperkalemia.”
From Plant Proteins: Assessing Their Nutritional Quality and Effects on Health and Physical Function (2020) · cites this paper as [101]
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Metadata
- Authors
- Goraya, N., Simoni, J., Jo, C.-H., & Wesson, D. E.
- Affiliations
- Texas A&M University (US)
- Baylor Scott & White Medical Center - Temple (US)
- Corresponding author
- Goraya, Nimrit
- Jo, Chan-Hee
- Wesson, Donald E.
- Venue
- Clinical Journal of the American Society of Nephrology
- Published
- 2013-03
- Volume
- 8
- Issue
- 3
- Pages
- 371-381
- ISSN
- 1555-9041 (ISSN-L)
- PMC
- PMC3586961
- OpenAlex
- W2131658070
- Cited by
- 410
- References
- 37
- Citations by year
- 2026: 14 · 2025: 23 · 2024: 26 · 2023: 34 · 2022: 36 · 2021: 41 · 2020: 40 · 2019: 38 · 2018: 37 · 2017: 36 · 2016: 29 · 2015: 23 · 2014: 22 · 2013: 9
- FWCI
- 20.97
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Clinical Journal of the American Society of Nephrology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Texas Tech University
- Topics
- Health Sciences › Medicine › Nephrology › Renal function and acid-base balance
- Health Sciences › Medicine › Urology › Kidney Stones and Urolithiasis Treatments
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Keywords
- metabolic acidosis, chronic kidney disease stage 4, hypertensive nephropathy, sodium bicarbonate, dietary acids, fruits and vegetables, estimated glomerular filtration rate, hyperkalemia, ACE inhibitors
- MeSH terms
- Acid-Base Equilibrium, Acidosis, Administration, Oral, Angiotensin-Converting Enzyme Inhibitors, Antihypertensive Agents, Diet, Female, Fruit, Glomerular Filtration Rate, Humans, Hypertension, Kidney, Male, Middle Aged, Potassium, Texas, Time Factors, Vegetables, Biomarkers, Treatment Outcome, Sodium Bicarbonate, Renal Insufficiency, Chronic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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