Estimating 24-hour Urinary Excretion of Sodium and Potassium is More Reliable from 24-hour Urine than Spot Urine Sample in a Feeding Study of US Older Postmenopausal Women

Lesley F Tinker; Ying Huang; Karen C Johnson; Laura D Carbone; Linda Snetselaar; Linda Van Horn; JoAnn E Manson; Simin Liu; Yasmin Mossavar-Rahmani; Ross L Prentice; Johanna W Lampe; Marian L Neuhouser

doi:10.1093/cdn/nzab125

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Estimating 24-hour Urinary Excretion of Sodium and Potassium is More Reliable from 24-hour Urine than Spot Urine Sample in a Feeding Study of US Older Postmenopausal Women

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Estimating 24-hour Urinary Excretion of Sodium and Potassium is More Reliable from 24-hour Urine than Spot Urine Sample in a Feeding Study of US Older Postmenopausal Women

Lesley F Tinker, Ying Huang, Karen C Johnson, Laura D Carbone, Linda Snetselaar, Linda Van Horn, JoAnn E Manson, Simin Liu, Yasmin Mossavar-Rahmani, Ross L Prentice, …

Current developments in nutrition, Vol.5(11), pp.nzab125-nzab125

10/12/2021

DOI: 10.1093/cdn/nzab125

PMCID: PMC8575727

PMID: 34761160

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Abstract

Abstract Background Assessing estimated sodium (Na) and potassium (K) intakes derived from 24-h urinary excretions versus a spot urine sample if comparable could reduce participant burden in epidemiologic and clinical studies. Objectives In a two-week controlled feeding study, Na and K excretion from a 24-h urine collection were compared with a first void spot urine sample, applying established algorithms and enhanced models to estimate 24-h excretion. Actual and estimated 24-h excretions were evaluated relative to mean daily Na and K intakes in the feeding study. Methods 153 older postmenopausal women ages 75.4 ± 3.5 years participated in a 2-week controlled feeding study with a 4-day repeating menu cycle based on their usual intake (ClinicalTrials.gov Identifier: NCT00000611). Of the 150 participants who provided both a first void spot urine sample and a 24-h urine collection on the penultimate study day, statistical methods included Pearson correlations for Na and K between intake, 24-h collections and the 24-h estimated excretions using four established algorithms; enhanced biomarker models by regressing ln-transformed intakes on ln-transformed 24-h excretions or ln-transformed 24-h estimated excretions plus participant characteristics; and sensitivity analyses for factors potentially influencing Na or K excretion, e.g., possible kidney disease estimated eGFR < 60 mL/min/1.73m). Results Pearson correlation coefficients between Na and K intakes and actual 24-h excretions were 0.57 and 0.38–0.44 for estimated 24-h excretions, depending on electrolyte and algorithm used. Enhanced biomarker model cross-validated R2 (CVR2s) for 24-h excretions were 38.5% (Na), 40.2% (K) and 42.0% (Na/K). After excluding participants with possible kidney disease, the CVR2s were 43.2% (Na), 40.2% (K) and 38.1% (Na/K). Conclusions 24-h urine excretion measurement performs better than estimated 24-h excretion from a spot urine as a biomarker for Na and K intake among a sample of primarily white postmenopausal women. Summary 24-h urine excretion measurement performs better than estimated 24-h excretion from a spot urine as a biomarker for Na and K intake among a sample of primarily white postmenopausal women.

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Title: Subtitle: Estimating 24-hour Urinary Excretion of Sodium and Potassium is More Reliable from 24-hour Urine than Spot Urine Sample in a Feeding Study of US Older Postmenopausal Women
Creators: Lesley F Tinker - Division of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
Ying Huang - Division of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
Karen C Johnson - Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN
Laura D Carbone - Department of Medicine, Medical College of Georgia at Augusta University, and J. Harold Harrison, MD, Distinguished University Chair in Rheumatology, Augusta, GA
Linda Snetselaar - Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
Linda Van Horn - Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
JoAnn E Manson - Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
Simin Liu - Departments of Epidemiology Medicine and Surgery, and Center for Global Cardiometabolic Health, Brown University
Yasmin Mossavar-Rahmani - Department of Epidemiology & Population Health Albert Einstein College of Medicine, Bronx, NY
Ross L Prentice - Division of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
Johanna W Lampe - Division of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
Marian L Neuhouser - Division of Public Health Sciences, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
Resource Type: Journal article
Publication Details: Current developments in nutrition, Vol.5(11), pp.nzab125-nzab125
DOI: 10.1093/cdn/nzab125
PMID: 34761160
PMCID: PMC8575727
NLM abbreviation: Curr Dev Nutr
ISSN: 2475-2991
eISSN: 2475-2991
Language: English
Date published: 10/12/2021
Academic Unit: Epidemiology; Fraternal Order of Eagles Diabetes Research Center; Internal Medicine
Record Identifier: 9984215048402771

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