Background: The 24-h urine collection technique is the reference method for assessing sodium intake. Frequent assessments of urinary sodium excretion improve patients' motivation in adhering to sodium-restricted diets. No portable, inexpensive, user-friendly and reliable sodium analyzers are available on the market. Allowing field practitioners access to such an instrument could facilitate patients' monitoring of urinary sodium output, potentially improving patients care and overall population health.
Objective: To determine the validity and intra- and inter-instruments reliability of two portable, easy-to-use and inexpensive sodium analyzers.
Methods: Urine samples (N= 77) were collected from 31 men and compared against reference values of an ion chromatograph.
Results: Both analyzers demonstrated excellent absolute (95% limits of agreement (LoA) of ± 3-4%) and relative intra-instrument reliability (intraclass correlation coefficients (ICC) of 1.00). Inter-instruments relative reliability was excellent (ICC: 0.99), whereas absolute reliability was good (95% LoA of ± 13%). Compared with results obtained by ion chromatography, relative validity was excellent for both analyzers. Absolute validity was good-to-moderate (95% LoAs ranging from ± 15% to ± 20%).
Conclusions: A low cost, portable analyzer can reliably be used by field practitioners to monitor changes in urinary sodium excretion across time and provide adequate guidance for individuals on sodium-restricted diets.
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http://dx.doi.org/10.3233/THC-151028 | DOI Listing |
Sci Rep
January 2025
Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
BJU Int
January 2025
Department of Obstetrics and Gynecology, Herlev and Gentofte University Hospital, Herlev, Denmark.
Objectives: To evaluate the effect of intravesical alkalinised lidocaine as an anaesthetic treatment on procedural pain during intradetrusor onabotulinumtoxinA (BTX-A) injections for overactive bladder.
Patients And Methods: This single-centre, randomised, double-blind, placebo-controlled two period crossover trial was conducted on women scheduled for BTX-A injections at our outpatient urogynaecology clinic between September 2022 and May 2024. Patients were randomly assigned (1:1) to receive either alkalinised lidocaine or placebo during the first treatment period.
Int J Mol Sci
January 2025
Department of Animal Experimentation, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra P.O. Box LG581, Ghana.
Cisplatin is a common and highly effective chemotherapeutic agent whose nephrotoxic side effect is well-characterized. Sodium thiosulfate (STS), an FDA-approved hydrogen sulfide (HS) donor drug, is emerging as a chemoprotective agent against cisplatin-induced nephrotoxicity (CIN). In this study, we investigated the chemoprotective mechanism of STS in a rat model of CIN.
View Article and Find Full Text PDFJ Hypertens
January 2025
Centre for Public Health & Policy, Wolfson Institute of Population Health, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom.
Objectives: To test the hypothesis that the association of formula-estimated sodium intake from spot urine with cardiovascular disease is independent of spot urinary sodium concentration.
Methods: We included 435 336 participants in the UK Biobank whose sodium intake was estimated from spot urine using INTERSALT, Kawasaki, and Tanaka formulas. Hazard ratios for cardiovascular disease (CVD) events and deaths were estimated using Cox proportional-hazard model adjusted for multiple covariates.
Am J Phys Med Rehabil
December 2024
Department of Physical Medicine and Rehabilitation, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226.
Predicting discharge destination for patients at inpatient rehabilitation facilities is important as it facilitates transitions of care and can improve healthcare resource utilization. This study aims to build on previous studies investigating discharges from inpatient rehabilitation by employing machine learning models to predict discharge disposition to home versus non-home and explore related factors. Fifteen machine learning models were tested.
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