Quantitative Composition of Kidney Stones

1961 ◽  
Vol 7 (5) ◽  
pp. 546-551 ◽  
Author(s):  
Reid H Leonard
Keyword(s):  
Calcium Phosphate ◽  
Calcium Oxalate ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Phosphate Group ◽  
Quantitative Composition

Abstract The kidney stone season for the Pensacola, Fla., area is shown to extend from May through November. No differences in composition of stones in and out of season could be found. Classification of the calculi into five groups delineates the calcium oxalate and phosphate group as the typical stone. Calcium oxalate is more prominent than calcium phosphate, especially in sizes less than 10 mg.

scholarly journals Genome Sequence of Oxalobacter formigenes Strain HC-1

2017 ◽  
Vol 5 (27) ◽  
Author(s):  
Marguerite Hatch ◽  
Milton J. Allison ◽  
Fahong Yu ◽  
William Farmerie
Keyword(s):  
Calcium Oxalate ◽  
Genome Sequence ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Human Strain ◽  
Oxalobacter Formigenes ◽  
Human Gut ◽  
Content Type

ABSTRACT The lack of Oxalobacter formigenes colonization of the human gut has been correlated with the formation of calcium oxalate kidney stones and also with the number of recurrent kidney stone episodes. Here, we present the genome sequence of HC-1, a human strain isolated from an individual residing in Iowa, USA.

scholarly journals The anatomy of the renal lower calyceal group influence on the risk of residual stones in the Urolithiasis treatment

2019 ◽  
Vol 7 (3) ◽  
pp. 5-13
Author(s):  
В. G. Guliev ◽  
V. M. Cheremisin ◽  
A. Е. Talyshinsky
Keyword(s):  
Kidney Stones ◽  
Kidney Stone ◽  
Average Length ◽  
Ct Scans ◽  
Boundary Values ◽  
Group Influence ◽  
Average Value ◽  
Residual Stones ◽  
Residual Fragments

Background. There are various data in the literature regarding the boundary values of the width and length of the neck, as well as the angle between the pelvis and infundibulum. These parameters distinguish between patients with high and low risk of residual fragments.Objectives. The purpose of this study is to examine the lower calyceal group anatomy of patients without kidney stones and to compare the obtained results with previously published one. Materials and methods. Retrospective stage: Computed tomography (CT) scan of the abdomen was obtained in 120 patients (which was performed on them from March 2018 to 2019). CT scans of 100 patients (200 kidneys) were included in analysis after exclusion of inappropriate data. The infundibulopelvic angle was measured using the two most common methods by Sampaio and by Elbahnasy. Also, the length and width of the lower infundibulum were measured. All results were divided into four groups depending on the Sampaio classification of pyelocaliceal system (PCS). Results. The average value of the infundibulopelvic angle according to the Elbahnasy’s method is 74.1±15.1, and according to the Sampaio method is 101.8±20.1. When measured by the Elbahnasy method, an angle of more than 90 ° is more likely to occur with A1 structure variant, and less than 90 ° is more likely to occur in the PCS corresponding to the A2 variant. The average length of the lower infundibulum is 20.7±2.8 mm. The higher value of the lower infundibulum width was in group A1. Conclusion. In our study, all parameters were out of risk of both the low success of the operation and the development of kidney stone indicated in previously published studies. This fact can confirm the influence of the anatomy of the lower calyceal group on the development of kidney stones.

scholarly journals STONE COMPOSITION PATTERN OF KIDNEY STONE

2013 ◽  
Vol 20 (1) ◽  
Author(s):  
Aries Alpendri ◽  
Danarto HR
Keyword(s):  
Calcium Oxalate ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Urine Analysis ◽  
Urine Culture ◽  
Stone Composition ◽  
E Coli ◽  
Causative Microorganism ◽  
Sensitivity Pattern ◽  
Composition Pattern

Objective: The purpose of this study was to know the bacterial and sensitivity pattern towards antimicrobials on kidney stones and to know the stone composition of kidney stones. Material &Method: Data were collected from medical record in 1 year period from January until Desember 2008 with descriptive study design. Results: We found 59 patients in that period, 32 males and 27 females, the mean age was 52,5 ± 10,31 with age 31 – 75 years old, most patients came from Bantul (16,9%) and 25,4% patients were housewives. From urine analysis we found leucocyturia (44,1%), erythrocyturia (39,0%), nitrituria (3,4%) and bacteriuria (6,8%). Urine culture showed E. coli (12,5%) and Candida (12,5%) being the most common causative microorganism. No antimicrobials was sensitive to all bacteriae while all antifungal was sensitive to candida. Stone composition showed ammonium (98%), calcium oxalate (91,8%), calcium non oxalate (93,9%), carbonate (22,4%), cholesterol (14,3%), uric acid (10,2%) and phosphate acid (10,2%). Conclusion: The most common stone composition were ammonium, calcium oxalate, and calcium non oxalate. E. coli still being the most common causative microorganism.Keywords: Kidney stone, stone composition, urinary tract infection, urine analysis, urine culture.

scholarly journals Pre-operative Percutaneous Nephrolithotripsy Characterisation of Kidney Stones with Second-Generation Dual-Source Dual-Energy Computed Tomography

2020 ◽  
Vol 27 (5) ◽  
pp. 43-52
Author(s):  
DK Mella Mohd Ali ◽  
Mohd Hafizi Mahmud ◽  
Noor Shafini Mohamad
Keyword(s):  
Computed Tomography ◽  
Uric Acid ◽  
Calcium Oxalate ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Second Generation ◽  
Dual Energy ◽  
Spectroscopy Analysis ◽  
Stone Composition ◽  
Dual Source

Background: The current clinical practice to manage kidney stone requires knowledge of the stone composition. However, it is often difficult to determine the actual stone composition before a stone is operatively removed from the patient. Dual-energy computed tomography (DECT) can predict urinary stone composition, but it is not widely adopted. The purpose of the study was to investigate the use of a second-generation DECT with tin or stannum (Sn) filter for characterising the kidney stones composition. Methods: Thirty-three kidney stones were scanned ex vivo using a dual-source (DS)DECT scanner with dual-energy (DE) mode of 80/140 kVp with and without 4 mm Sn filtration. DE ratio was calculated to determine the kidney stones composition (uric acid, calcium oxalate, calcium phosphate and cystine). The median DE ratio of the stones was compared using Wilcoxon signed rank test and the results were further correlated with semi-quantitative Fourier transform infrared (FTIR) spectroscopy analysis using Kendall’s Tau test with P < 0.05 deemed to be statistically significant. Results: Second-generation DS-DECT could significantly discriminate the stones composition with and without Sn filtration (P < 0.001). The median DE ratio of uric acid, calcium oxalate and cystine stones were significantly higher with Sn filtration than those without filtration (P < 0.05). DECT results revealed significant correlation with FTIR spectroscopy analysis (r = 0.716, P < 0.001). DECT with Sn filtration showed increased performance (100% sensitivity, 0% specificity) than those without filtration (48.5% sensitivity, 0% specificity) in the detection of the kidney stone subtypes. Conclusion: In the second-generation DECT with additional Sn filtration, DECT has shown a significant performance in characterising and discriminating the kidney stone composition. This may improve diagnostic and therapy management in kidney stones cases.

933: Calcium Oxalate/Calcium Phosphate Association in Kidney Stones

2007 ◽  
Vol 177 (4S) ◽  
pp. 309-309
Author(s):  
Saeed R. Khan ◽  
Karen B. Priola ◽  
Patricia A. Glenton
Keyword(s):  
Calcium Phosphate ◽  
Calcium Oxalate ◽  
Kidney Stones

Analysis of Urinary Calculi of Mixed and Unusual Composition: Raman Spectroscopic Investigation

1993 ◽  
Vol 47 (3) ◽  
pp. 334-337 ◽  
Author(s):  
Venkata Ramana Kodati ◽  
Anthony T. Tu ◽  
Ravindra Nath ◽  
Jacob L. Turumin
Keyword(s):  
Raman Spectroscopy ◽  
Calcium Oxalate ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Scattered Light ◽  
Urinary Calculi ◽  
Direct Analysis ◽  
Mixed Composition ◽  
Calcium Oxalate Dihydrate ◽  
Raman Spectroscopic

Raman spectroscopic analysis of kidney stones of mixed composition and of unusual stones is presented. Raman spectroscopy was used to analyze the chemical composition of kidney stones without extraction. A kidney stone sample was irradiated by laser light of 514.5 nm, and the scattered light was analyzed by a Raman spectrometer. The first stone was determined to be a mixture of calcium oxalate dihydrate and hydroxyapatite and the second one to be a mixture of calcium oxalate monohydrate, uric acid, and hydroxyapatite. The third and fourth stones were not mixed-composition stones, but rather stones with unusual composition. One was concluded to be carboxyapatite, and the other was mucoprotein-type stone. The present investigation indicates that Raman spectroscopy is a useful tool for direct analysis of kidney stone without going through the usual procedure of crushing, extracting, and carrying out tedious wet chemical analysis.

scholarly journals An in vitro screening potential traditional medicinal plants for nephrolithiasis

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Majid Shirani ◽  
Davood Arjaki ◽  
Soleiman Kheiri ◽  
Elham Bijad ◽  
Sareh Mohammadi ◽  
...  
Keyword(s):  
Calcium Phosphate ◽  
Calcium Oxalate ◽  
Kidney Stones ◽  
Phenolic Content ◽  
Colorimetric Method ◽  
Total Phenolic ◽  
Root Extracts ◽  
Traditional Medicinal Plants ◽  
Percutaneous Nephrolithotripsy

Abstract Background Today, the attention of researchers has been drawn to the use of medicinal plant for the treatment of kidney stones. The aim of this study was to investigate the effect of five plants used in traditional medicine on the dissolution of calcium oxalate and calcium phosphate stones. Then, the ability of more effective plants to dissolve stones collected from patients after Percutaneous Nephrolithotripsy was investigated. Methods The aerial part of plants were extracted by maceration method. The synthesized stones in laboratory were incubated with different concentrations of the extract. Next, the concentrations of calcium oxalate and calcium phosphate were measured by a calcium kit and BT 3000. The effect of the extract with the best activity on the stones collected from the patients was also studied. The composition of clinical stones was determined by colorimetric method. The total phenolic content (TPC) of the extracts was determined. Results The highest dissolution of calcium oxalate stones was observed by the G. struthium extract and the highest dissolution of calcium phosphate stones by the A. euchroma and A. officinalis root extracts. The dissolution percentage of clinical stones by the A. euchroma extract was significantly higher than other extract (P < 0.05). The highest TPC was observed in A. euchroma extract (P < 0.05). Conclusion The A. euchroma extract exhibited the greatest dissolution activity on laboratory calcium oxalate and calcium phosphate stones as well as clinical stones made of high amounts of calcium oxalate. Therefore, the extract can be effective in preventing and treating kidney stones.

Sex Differences of Kidney Stone Urine Risk Factors after Roux-en-Y Gastric Bypass

2021 ◽  
Vol 52 (2) ◽  
pp. 173-176
Author(s):  
Megan Prochaska ◽  
John Asplin ◽  
Arlene Chapman ◽  
Elaine Worcester
Keyword(s):  
Risk Factors ◽  
Gastric Bypass ◽  
Sex Differences ◽  
Calcium Phosphate ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Men And Women ◽  
Before And After ◽  
Urine Composition ◽  
Bariatric Surgical Procedure

<b><i>Introduction:</i></b> Roux-en-Y gastric bypass (RYGB) is a bariatric surgical procedure that is associated with higher risk of kidney stones after surgery. We examined urine composition in 18 men and women before and after RYGB to examine differences in kidney stone risk. <b><i>Methods:</i></b> Three 24-h urine collections were performed before and 1 year after RYGB. We analyzed mean urinary values for pre- and post-RYGB collections and compared men and women. <b><i>Results:</i></b> Seven men and eleven women completed pre- and post-RYGB urine collections. Pre-RYGB, men had higher calcium oxalate supersaturation (CaOx SS) (7.0 vs. 5.0, <i>p</i> = 0.04) compared with women. Post-RYGB, women had higher urine CaOx SS (13.1 vs. 4.6, <i>p</i> = 0.002), calcium phosphate supersaturation (1.04 vs. 0.59, <i>p</i> = 0.05), and lower urine volumes (1.7 vs. 2.7L, <i>p</i> &#x3c; 0.001) compared with men. <b><i>Discussion/Conclusion:</i></b> There are important differences in urine composition by sex that may contribute to higher kidney stone risk in women after RYGB compared with men.

scholarly journals Perturbations of the Gut Microbiome and Metabolome in Children with Calcium Oxalate Kidney Stone Disease

2020 ◽  
Vol 31 (6) ◽  
pp. 1358-1369 ◽  
Author(s):  
Michelle R. Denburg ◽  
Kristen Koepsell ◽  
Jung-Jin Lee ◽  
Jeffrey Gerber ◽  
Kyle Bittinger ◽  
...  
Keyword(s):  
Calcium Oxalate ◽  
Kidney Stones ◽  
Gut Microbiome ◽  
Early Onset ◽  
Kidney Stone ◽  
Stone Disease ◽  
Metagenomic Sequencing ◽  
Kidney Stone Disease ◽  
Stone Formers ◽  
Age Related

BackgroundThe relationship between the composition and function of gut microbial communities and early-onset calcium oxalate kidney stone disease is unknown.MethodsWe conducted a case-control study of 88 individuals aged 4–18 years, which included 44 individuals with kidney stones containing ≥50% calcium oxalate and 44 controls matched for age, sex, and race. Shotgun metagenomic sequencing and untargeted metabolomics were performed on stool samples.ResultsParticipants who were kidney stone formers had a significantly less diverse gut microbiome compared with controls. Among bacterial taxa with a prevalence >0.1%, 31 taxa were less abundant among individuals with nephrolithiasis. These included seven taxa that produce butyrate and three taxa that degrade oxalate. The lower abundance of these bacteria was reflected in decreased abundance of the gene encoding butyryl-coA dehydrogenase (P=0.02). The relative abundance of these bacteria was correlated with the levels of 18 fecal metabolites, and levels of these metabolites differed in individuals with kidney stones compared with controls. The oxalate-degrading bacterial taxa identified as decreased in those who were kidney stone formers were components of a larger abundance correlation network that included Eggerthella lenta and several Lactobacillus species. The microbial (α) diversity was associated with age of stone onset, first decreasing and then increasing with age. For the individuals who were stone formers, we found the lowest α diversity among individuals who first formed stones at age 9–14 years, whereas controls displayed no age-related differences in diversity.ConclusionsLoss of gut bacteria, particularly loss of those that produce butyrate and degrade oxalate, associates with perturbations of the metabolome that may be upstream determinants of early-onset calcium oxalate kidney stone disease.

scholarly journals Prediction of the occurrence of calcium oxalate kidney stones based on clinical and gut microbiota characteristics

2021 ◽  
Author(s):  
Liyuan Xiang ◽  
Xi Jin ◽  
Yu Liu ◽  
Yucheng Ma ◽  
Zhongyu Jian ◽  
...  
Keyword(s):  
Random Forest ◽  
Gut Microbiota ◽  
Calcium Oxalate ◽  
Clinical Data ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Area Under The Curve ◽  
Validation Dataset ◽  
West China Hospital ◽  
West China

Abstract Purpose To predict the occurrence of calcium oxalate kidney stones based on clinical and gut microbiota characteristics. Methods Gut microbiota and clinical data from 180 subjects (120 for training set and 60 for validation) attending the West China Hospital (WCH) were collected between June 2018 and January 2021. Based on the gut microbiota and clinical data from 120 subjects (66 non-kidney stone individuals and 54 kidney stone patients), we evaluated eight machine learning methods to predict the occurrence of calcium oxalate kidney stones. Results With fivefold cross-validation, the random forest method produced the best area under the curve (AUC) of 0.94. We further applied random forest to an independent validation dataset with 60 samples (34 non-kidney stone individuals and 26 kidney stone patients), which yielded an AUC of 0.88. Conclusion Our results demonstrated that clinical data combined with gut microbiota characteristics may help predict the occurrence of kidney stones.

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