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Nazir M, Haq MA, Sherazi SMB, Naz S, Mobin L, Tsoupras A. Effects of Polyphenolic Extracts From Sumac, Pomegranate Peel, Indian Almond Leaves, Falsa, and Banana Bracts on Calcium Oxalate and Brushite Crystallization In Vitro. Chem Biodivers 2025:e202500023. [PMID: 40067092 DOI: 10.1002/cbdv.202500023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2025] [Revised: 02/17/2025] [Accepted: 03/11/2025] [Indexed: 04/10/2025]
Abstract
Nephrolithiasis, or kidney stone formation, is a widespread global health concern. This study examines the effects of polyphenolic extracts, along with their anthocyanin and non-anthocyanin fractions, from sumac fruit, pomegranate peel, almond leaves, falsa fruit, and banana bracts on the crystallization of calcium oxalate (CaC2O4·nH2O) and brushite (CaHPO4·2H2O) in vitro. The extracts were prepared through maceration in aqueous methanol and further fractionated into anthocyanin and non-anthocyanin fractions using solid-phase extraction. For calcium oxalate crystallization, nucleation and aggregation were monitored using a spectrophotometer in the presence and absence of these extracts and fractions. For brushite crystallization, the single diffusion gel growth method was employed. All extracts inhibited the crystallization of both calcium oxalate and brushite in a dose-dependent manner, significantly reducing crystal number, size, and altering crystal morphology. Non-anthocyanin fractions demonstrated a stronger inhibitory effect than anthocyanin fractions. Molecular docking studies further revealed that compounds in these fractions exhibited strong binding affinity with proteins involved in the adhesion and aggregation of calcium oxalate crystals to renal cells, supporting their antilithogenic properties. These findings suggest that these natural polyphenolic sources hold promise as potential inhibitors of kidney stone formation.
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Affiliation(s)
- Mudassir Nazir
- Department of Food Science & Technology, University of Karachi, Karachi, Sindh, Pakistan
| | - Muhammad Abdul Haq
- Department of Food Science & Technology, University of Karachi, Karachi, Sindh, Pakistan
| | | | - Shahina Naz
- Department of Food Science & Technology, University of Karachi, Karachi, Sindh, Pakistan
| | - Lubna Mobin
- Department of Food Science & Technology, University of Karachi, Karachi, Sindh, Pakistan
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Canada
| | - Alexandros Tsoupras
- Hephaestus Laboratory, School of Chemistry, Faculty of Science, Democritus University of Thrace, University of Thrace, Kavala University Campus, St Lukas, Kavala, Greece
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Skolarikos A, Somani B, Neisius A, Jung H, Petřík A, Tailly T, Davis N, Tzelves L, Geraghty R, Lombardo R, Bezuidenhout C, Gambaro G. Metabolic Evaluation and Recurrence Prevention for Urinary Stone Patients: An EAU Guidelines Update. Eur Urol 2024; 86:343-363. [PMID: 39069389 DOI: 10.1016/j.eururo.2024.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/22/2024] [Accepted: 05/13/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND AND OBJECTIVE The aim of this review was to define patients who are at high risk of recurrence of urolithiasis, to delineate diagnostic and therapeutic algorithms for each type of stone, and to clarify general guidelines and recommendations for prevention of recurrence. METHODS A professional research librarian carried out literature searches for all sections of the urolithiasis guidelines, covering the timeframe between 1976 and June 2023. KEY FINDINGS AND LIMITATIONS For every patient with urolithiasis, an attempt should be made to analyse the stone. Patients should be given general instructions on how to prevent recurrence, including adequate fluid and calcium intake, and low consumption of sodium and protein. Identifying and correcting the causative factors is a cornerstone in preventing the recurrence of urolithiasis. Diagnostic and therapeutic algorithms by stone composition are available. Every patient should undergo baseline metabolic screening, while patients with calcium stones, who are at high risk of relapse and complications, should undergo extensive metabolic screening with two 24-h urine collections and should receive targeted therapy. Patients with uric acid, infection, or cystine stones are at high risk of relapse. All patients at high risk of recurrence should be closely monitored, especially those not complying with therapy in the long term. CONCLUSIONS AND CLINICAL IMPLICATIONS Metabolic stone evaluation and patient follow-up are highly recommended to prevent urolithiasis recurrence.
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Affiliation(s)
- Andreas Skolarikos
- National and Kapodistrian University of Athens, 2nd Department of Urology, Sismanogleio Hospital, Athens, Greece.
| | - Bhaskar Somani
- Department of Urology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Andreas Neisius
- Department of Urology, Hospital of the Brothers of Mercy Trier, Medical Campus University Mainz, Trier, Germany
| | - Helene Jung
- Urinvejskirurgisk Afdeling, Sygehus Lillebælt, Vejle, Denmark
| | - Alec Petřík
- Department of Urology, Region Hospital, Ceske Budejovice, Czechia
| | - Thomas Tailly
- Servicio de Urología, Hospital Universitario de Gante, Gante, Belgium
| | - Niall Davis
- Department of Urology, Connolly Hospital, Dublin, Ireland
| | - Lazaros Tzelves
- National and Kapodistrian University of Athens, 2nd Department of Urology, Sismanogleio Hospital, Athens, Greece
| | - Rob Geraghty
- Department of Urology, Freeman Hospital, Newcastle-upon-Tyne, UK
| | | | - Carla Bezuidenhout
- European Association of Urology Guidelines Office, Arnhem, The Netherlands
| | - Giovanni Gambaro
- Division of Nephrology and Dialysis, Department of Medicine, University of Verona, Verona, Italy
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Paz-Graniel I, Valle-Hita C, Babio N, Serra-Majem L, Vioque J, Zomeño MD, Corella D, Pintó X, Cano-Ibáñez N, Tur JA, Cuadrado-Soto E, Martínez JA, Díaz-López A, Torres-Collado L, Goday A, Fernández-Carrión R, Nissenshon M, Riera-Mestre A, Garrido-Garrido E, Bouzas C, Abete I, Daimiel L, Cornejo-Pareja I, Vázquez-Ruiz Z, Khoury N, Pérez-Vega KA, Salas-Salvadó J. Long-term association between water intake and kidney function in a population at high cardiovascular risk. J Nutr Health Aging 2024; 28:100327. [PMID: 39137622 DOI: 10.1016/j.jnha.2024.100327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 07/23/2024] [Accepted: 07/26/2024] [Indexed: 08/15/2024]
Abstract
OBJECTIVES The evidence on water intake in the prevention of kidney function decline is scarce at population level in well-being individuals at high cardiovascular risk. Therefore, we aimed to longitudinally evaluate the associations between total water intake and subtypes and kidney function, through estimated-Glomerular Filtration Rate (eGFR). METHODS Three-year prospective analysis conducted in 1986 older adults (aged 55-75 year) with overweight/obesity and metabolic syndrome from the PREDIMED-Plus study. Water intake was assessed using validated beverage and food frequency questionnaires. Serum creatinine-based eGFR (SCr-based eGFR; ml/min/1.73 m2) was estimated using the CKD-EPI equation at baseline, one-year and 3-years of follow-up. Mixed-effects linear regression models were fitted to evaluate the associations between baseline total water intake and subtypes, and SCr-based eGFR over 3-years of follow-up. RESULTS Participants in the highest baseline tertile of total water intake, plain water and water from all fluids showed a lower decrease in SCr-based eGFR after 3-years of follow-up, compared to those in the lowest tertile. Participants with the highest tap water consumption showed a lower SCr-based eGFR decline after 1-year and 3-years of follow-up, in comparerd to participants in the lowest intake category (T3 vs. T1: β: 1.4 ml/min/1.73 m2; 95%CI: 0.5-2.3, β: 1.0; 95%CI: 0.1-2.0, respectively). CONCLUSIONS Plain water rather than other water sources, and especially tap water, was associated with lower kidney function decline assessed through eGFR over 3-years of follow-up, in older individuals at high cardiovascular risk. TRIAL REGISTRATION ISRCTN89898870. Retrospectively registered on 24 July 2014.
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Affiliation(s)
- Indira Paz-Graniel
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Cristina Valle-Hita
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Nancy Babio
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Lluís Serra-Majem
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Jesus Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - María Dolores Zomeño
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, Barcelona, Spain; School of Health Sciences, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Dolores Corella
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament of Preventive Medicine and Public Health, School of Medicine, Valencia, Spain
| | - Xavier Pintó
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Internal Medicine Department. Hospital Universitari Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Clinical Sciences Department, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria (ibs. GRANADA), Complejo Hospitales Universitarios de Granada/Universidad de Granada, 18071, Granada, Spain
| | - Josep A Tur
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Esther Cuadrado-Soto
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain; Grupo de Investigación VALORNUT-UCM, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - J A Martínez
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IEA Food, CEI UAM+CSIC, Madrid, Spain; Departament of Medicine and Endocrinology, University of Valladolid, Spain
| | - Andrés Díaz-López
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Nutrition and Mental Health (NUTRISAM) Research Group, Nutrition and Public Health Unit, Universitat Rovira I Virgili, Reus 43204, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Albert Goday
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; IMIM, Endocrinology and Diabetes Unit, Hospital del Mar, Barcelona, Spain; Departament de Medicina, Universitat Autónoma de Barcelona, Spain
| | - Rebeca Fernández-Carrión
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament of Preventive Medicine and Public Health, School of Medicine, Valencia, Spain
| | - Mariela Nissenshon
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Antoni Riera-Mestre
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Internal Medicine Department. Hospital Universitari Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Clinical Sciences Department, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Eva Garrido-Garrido
- Primary Care Center Zaidín-Center, Andalusian Health Service, Granada, Spain
| | - Cristina Bouzas
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Itziar Abete
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Lidia Daimiel
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Isabel Cornejo-Pareja
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - Zenaida Vázquez-Ruiz
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
| | - Nadine Khoury
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Karla Alejandra Pérez-Vega
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Shringi S, Raker CA, Chonchol M, Tang J. Alcohol Intake and Prevalent Kidney Stone: The National Health and Nutrition Examination Survey 2007-2018. Nutrients 2024; 16:2928. [PMID: 39275244 PMCID: PMC11397207 DOI: 10.3390/nu16172928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 08/23/2024] [Accepted: 08/29/2024] [Indexed: 09/16/2024] Open
Abstract
The association of alcohol intake with kidney stone disease (KSD) is not clear based on current clinical evidence. We examined the National Health and Nutrition Examination Survey (NHANES) 2007-2018 and used logistic regression analyses to determine the independent association between alcohol intake and prevalent KSD. In total, 29,684 participants were eligible for the final analysis, including 2840 prevalent stone formers (SFs). The mean alcohol intake was 37.0 ± 2.4 g/day among SFs compared to 42.7 ± 0.9 among non-SFs (p = 0.04). Beer [odds ratio (OR) = 0.76, 95% CI: 0.61-0.94, p = 0.01] and wine (OR = 0.75, 95% CI: 0.59-0.96, p = 0.03) intakes were strongly associated with lower odds of prevalent KSD, while liquor intake had no association. Furthermore, the effects of beer and wine intakes on stone formation were dose-dependent. The OR for comparing participants drinking 1-14 g/day of beer to non-drinkers was 1.41 (95%CI: 0.97-2.05, p = 0.07), that of >14-≤28 g/day of beer to non-drinkers was 0.65 (95% CI: 0.42-1.00, p = 0.05), that of >28-≤56 g/day of beer to non-drinkers was 0.60 (95% CI: 0.39-0.93, p = 0.02), and that of >56 g/day of beer to non-drinkers was 0.34 (95% CI: 0.20-0.57, p < 0.001). Interestingly, the effect of wine intake was only significant among participants drinking moderate amounts (>14-28 g/day), with an OR of 0.54 (95% CI: 0.36-0.81, p = 0.003) compared to non-drinkers, but this effect was lost when comparing low-level (1-14 g/day) and heavy (>28 g/day) wine drinkers to non-drinkers. These effects were consistent in spline models. This study suggests that both moderate to heavy beer intake and moderate wine intake are associated with a reduced risk of KSD. Future prospective studies are needed to clarify the causal relationship.
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Affiliation(s)
- Sandipan Shringi
- Division of Kidney Diseases and Hypertension, Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Christina A Raker
- Lifespan Biostatistics, Epidemiology, Research Design, and Informatics Core, Providence, RI 02903, USA
| | - Michel Chonchol
- Division of Kidney Diseases and Hypertension, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Jie Tang
- Division of Kidney Diseases and Hypertension, Alpert Medical School of Brown University, Providence, RI 02903, USA
- Division of Kidney Diseases and Hypertension, Department of Medicine, Brown Physicians Inc., 375 Wampanoag Trail, East Providence, RI 02915, USA
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Ferraro PM, Lopez F, Petrarulo M, Barbarini S, Curhan GC, Marangella M, Taylor EN. Estimating 24-hour urinary excretion using spot urine measurements in kidney stone formers. Nephrol Dial Transplant 2022; 37:2171-2179. [PMID: 35146503 PMCID: PMC9585473 DOI: 10.1093/ndt/gfab306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND One limitation of the use of 24-hour collection is impracticality. We analysed the performance of spot urine measurements to estimate 24-hour excretion in patients with kidney stones. METHODS A total of 74 adult patients from two centres performed a 24-hour urine collection. A sample of the last micturition was sent for spot urine analysis. Twenty patients were asked to collect two additional spot urine samples, one before dinner and the other after dinner. Urinary concentrations of creatinine, calcium, oxalate, uric acid, citrate and magnesium were measured in the 24-hour and each of the spot urine samples. Four approaches were used to estimate 24-hour urinary excretion, multiplying the ratio of the spot urinary analyte to creatinine concentration by (i) measured 24-hour urinary creatinine excretion (Prediction 1), (ii) estimated 24-hour urinary creatinine excretion (Prediction 2), (iii) assumed 1-g 24-hour urinary creatinine excretion (Prediction 3) or (iv) assumed 1.5-g 24-hour urinary creatinine excretion (Prediction 4). For each parameter we computed Lin's concordance correlation coefficients (CCCs), Bland-Altman plots and 95% limits of agreement. RESULTS The performance of estimates obtained with Prediction 1 and Prediction 2 was similar, except for citrate and uric acid, for which Prediction 2 performed worse. Both approaches performed moderately well: citrate CCC {0.82 [95% confidence interval (CI) 0.75-0.90]}, oxalate [0.66 (95% CI 0.55-0.78)], magnesium [0.66 (95% CI 0.54-0.77)], calcium [0.63 (95% CI 0.50-0.75)] and uric acid [0.52 (95% CI 0.36-0.68)]. The performance of Predictions 3 and 4 was worse. CONCLUSIONS Although spot urine samples may hold promise for clinical and population-based research, at present they have limited utility in clinical practice. Measuring or estimating 24-hour creatinine, rather than assuming a given creatinine excretion, will be necessary in future studies of spot urine samples.
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Affiliation(s)
- Pietro Manuel Ferraro
- U.O.S. Terapia Conservativa della Malattia Renale Cronica, U.O.C. Nefrologia, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Dipartimento Universitario di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Fernando Lopez
- Tufts University School of Medicine, Department of Nephrology and Transplantation, Maine Medical Center, Portland, ME, USA
| | | | - Silvia Barbarini
- Dipartimento Universitario di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Gary C Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Eric N Taylor
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Section of Nephrology, VA Maine Healthcare System, Augusta, ME, USA
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