Kidney stone composition in overweight and obese patients: a preliminary report

Mosli, Hisham A.; Mosli, Hala H.; Kamal, Wissam

doi:10.2147/rru.s39581

Cited by 14 publications

(19 citation statements)

References 7 publications

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“…UA stones are less common and comprise only 5 to 10% of all kidney stones [19][20]. Positive correlation between BMI and uric acid concentration in blood serum, which is involved in the pathogenesis of uronephrolithiasis, is compatible with other studies that have proved a connection between higher BMI and the formation of UA kidney stones [21][22][23][24]. Daudon and colleagues have reported that overweight and obese people develop calcium stones much less often than people with normal BMI, and the rate of UA stone formation increases with an increase in BMI [25].…”

Section: Components Of Metabolic Syndromesupporting

confidence: 71%

Prevalence of Metabolic Syndrome in Patients with Uric Acid and Calcium–based Kidney Stones

Hendrixson¹,

Malyško²,

Maţeikienė³

et al. 2014

JAMR

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The aim of the study was to investigate the prevalence of metabolic syndrome in patients with uric acid and calcium-based kidney stones and to investigate the relationship between metabolic syndrome and type of kidney stone using infrared spectroscopy to evaluate the chemical composition of kidney stones Sixty patients with urolithiasis were examined. Metabolic syndrome was diagnosed according to clinical and laboratory criteria. Weight, height, body mass index, waist circumference, and blood pressure of patients were measured. Blood tests were performed. Concentrations of total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglycerides, glucose and uric acid in blood, were analyzed. The kidney stones of patients were removed and the composition of each kidney stone was analyzed using Fourier transform infrared spectroscopy. Metabolic syndrome was diagnosed in 55% of the patients; 86.7% of patients with uric acid (UA) kidney stones and 44.4% of patients with calcium (Ca) based stones had metabolic syndrome. All patients diagnosed with metabolic syndrome were overweight or obese. Even though there were no statistically significant differences observed concerning the anthropometrical measures and arterial blood pressure (BP) between the UA stone formers and Ca-based stone formers, the results show a trend that failed to reach significance: higher waist size, BMI and arterial BP means in the group of patients with UA stones than in the patients with Ca-based stones. No statistically significant differences in lipid profile between the groups were found. Concentration of UA in blood serum was significantly higher in patients with UA kidney stones than it was in patients with Ca-based kidney stones. Significant positive correlation between triglycerides and serum UA concentrations, as well as body mass index and serum UA concentration, and negative correlation between concentrations of high-density lipoprotein cholesterol and UA was found. Conclusion: Metabolic syndrome was more prevalent in patients with uric acid stones than in the patients with calcium-based kidney stones, even though this relationship was not statistically significant, most likely because of the limited number of patients investigated.

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Section: Components Of Metabolic Syndromesupporting

confidence: 71%

Prevalence of Metabolic Syndrome in Patients with Uric Acid and Calcium–based Kidney Stones

Hendrixson¹,

Malyško²,

Maţeikienė³

et al. 2014

JAMR

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“…11 Kidney stones mainly contain calcium oxalate, uric acid, struvite, cystine, and small amounts of phosphate and ammonium. 12 The main components of gallstones are cholesterol, bilirubin, bile acids, calcium apatite, and small amounts of magnesium and struvite. 13…”

mentioning

confidence: 99%

Systemic diseases and the risk of developing salivary stones: a case control study

Kraaij

Karagozoglu

Kenter

et al. 2015

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology

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“…[3][4][5] These patients also had significantly higher total points when compared to calcium stone formers due to differences in demographic data and urinary parameters, in particular the lower urinary calcium. Prior studies have already demonnomogram to predict uric acid kidney stones strated some particularities in the 24-hour urine collections of uric acid stone formers and in patients with traits of the metabolic syndrome.…”

Section: Discussionmentioning

confidence: 96%

“…2 Currently, several conditions have been linked to uric acid kidney stones, such as obesity, high blood pressure, diabetes, and low urinary pH. [3][4][5] Furthermore, 24-hour urine analyses have demonstrated that uric acid stone formers have a higher excretion of urinary sodium and a lower excretion of urinary calcium and oxalate when compared to calcium stone formers. 6 Imaging exams are also helpful when trying to distinguish between uric acid and calcium stones.…”

Section: Introductionmentioning

confidence: 99%

Nomogram to predict uric acid kidney stones based on patient’s age, BMI and 24-hour urine profiles: a multi-center validation

Torricelli¹,

Brown²,

Berto³

et al. 2015

CUAJ

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Introduction: We performed a multicentre validation of a nomogram to predict uric acid kidney stones in two populations. Methods: We reviewed the kidney stone database of two institutions, searching for patients with kidney stones who had stone composition analysis and 24-hour urine collection from January 2010 to December 2013. A nomogram to predict uric acid kidneys stones based on patient age, body mass index (BMI), and 24-hour urine collection was tested. Receiver-operating curves (ROC) were performed. Results: We identified 445 patients, 355 from Cleveland, United States, and 90 from Sao Paulo, Brazil. Uric acid stone formers were 7.9% and 8.9%, respectively. Uric acid patients had a significantly higher age and BMI, as well as significant lower urinary calcium than calcium stone formers in both populations. Uric acid had significantly higher total points when scored according to the nomogram. ROC curves showed an area under the curve of 0.8 for Cleveland and 0.92 for Sao Paulo. The cutoff value that provided the highest sensitivity and specificity was 179 points and 192 for Cleveland and Sao Paulo, respectively. Using 180 points as a cutoff provided a sensitivity and specificity of 87.5% and 68% for Cleveland, and 100% and 42% for Sao Paulo. Higher cutoffs were associated with higher specificity. The main limitation of this study is that only patients from high volume hospitals with uric acid or calcium stones were included. Conclusion: Predicting uric acid kidneys stone based on a nomogram, which includes only demographic data and 24-hour urine parameters, is feasible with a high degree of accuracy.

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Kidney stone composition in overweight and obese patients: a preliminary report

Cited by 14 publications

References 7 publications

Prevalence of Metabolic Syndrome in Patients with Uric Acid and Calcium–based Kidney Stones

Prevalence of Metabolic Syndrome in Patients with Uric Acid and Calcium–based Kidney Stones

Systemic diseases and the risk of developing salivary stones: a case control study

Nomogram to predict uric acid kidney stones based on patient’s age, BMI and 24-hour urine profiles: a multi-center validation

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