Literature DB >> 22025958

Differences in Urinary Stone Composition according to Body Habitus.

Ji Yun Jeong1, Seung Whan Doo, Won Jae Yang, Kwang Woo Lee, Jun Mo Kim.   

Abstract

PURPOSE: We analyzed differences in urinary stone composition according to body mass index (BMI).
MATERIALS AND METHODS: Between January 2007 and December 2010, 505 ureteral or renal stones were collected from 505 patients who underwent surgical intervention. Data on patient age, gender, BMI, urinary pH, and stone composition were collected.
RESULTS: The patients' mean age was 49.2 years (range, 20 to 83 years). Of the 505 patients, 196 (38.7%) had calcium oxalate (CO) stones, 172 (33.9%) had mixed calcium oxalate and calcium phosphate (COP) stones, 72 (14.2%) had calcium phosphate (CP) stones, 50 (9.8%) had uric acid (UA) stones, and 15 (2.9%) had struvite stones. We excluded struvite stones in the statistical analysis because of the small number of patients; a total of 490 patients were included in this study. In the multinomial logistic regression analysis, obesity was found to be associated with UA stones compared with COP stones (odds ratio [OR] 3.488; 95% confidence interval [CI] 1.732-7.025; p<0.001) and CP stones (OR 2.765; 95% CI 1.222-6.259; p=0.015). Similar results were observed for CO stones compared with COP stones (OR 2.682; 95% CI 1.727-4.164; p<0.001) and CP stones (OR 2.126; 95% CI 1.176-3.843; p<0.013).
CONCLUSIONS: Obesity was associated with UA and CO stones compared with the occurrence of COP and CP stones.

Entities:  

Keywords:  Body mass index; Obesity; Urinary calculi

Year:  2011        PMID: 22025958      PMCID: PMC3198236          DOI: 10.4111/kju.2011.52.9.622

Source DB:  PubMed          Journal:  Korean J Urol        ISSN: 2005-6737


INTRODUCTION

The etiology of urinary stone disease is multifactorial and not completely well understood [1,2]. Obesity appears to play an important role in the etiology of some well-known diseases, such as diabetes, hypertension, coronary artery disease, thromboembolism, lower back pain, osteoarthritis, and depression [3]. In addition, studies performed in recent years have demonstrated that people who are overweight or obese might also be prone to increased urinary stone formation [4-8]. Obesity is associated with insulin resistance and compensatory hyperinsulinemia, metabolic derangements that may lead to overly acidic urine [8,9]. A persistently low urinary pH (≤5.5) is a distinctive feature of idiopathic uric acid (UA) stones [10]. Impaired ability to excrete acid in low urinary pH could result in hypocitraturia, which is an important risk factor for calcium stones [11]. Also, calcium oxalate (CO) stones may develop by heterogeneous nucleation of CO by UA [12,13]. In addition to a lower urinary pH, recent studies have shown that obesity is associated with unique changes in serum and urinary chemistry such as increased urinary excretion of calcium, citrate, sulfate, phosphate, oxalate, UA, and cystine in stone formers [14-17]. Herein, we evaluated differences in urinary stone composition according to body habitus by use of body mass index (BMI).

MATERIALS AND METHODS

Between January 2007 and December 2010, we collected 505 urinary stones (ureteral or renal) from 505 adult patients who underwent surgical intervention (ureteroscopy, percutaneous nephrolithotomy, laparoscopic ureterolithotomy) at two hospitals located in the metropolitan area of South Korea. The composition of the collected stones was analyzed by spectroscopy. Each stone sample was washed and dried. A small portion (1 mg) of each stone sample was mixed with potassium bromide (200 mg KBr), which was powdered and then pressed into a small tablet. The tablet was then analyzed by spectroscopy. We classified the specimens as CO stones, mixed CO and calcium phosphate (COP) stones, or calcium phosphate (CP) stones according to the results of the analysis, which indicated the presence of calcium, oxalate, or phosphate regardless of mixed UA components. If the results revealed the presence of UA components only, or UA mixed with calcium components only, those stones were classified as UA stones. The patients' data including age, gender, BMI, first urinary pH before surgical intervention, and urinary stone composition were recorded in a retrospective database. BMI was calculated by dividing the weight (kilograms) by the square of the height (meters). Individual BMI values were stratified into two categories (obese ≥, non-obese <25 kg/m2) developed for Asia-Oceanian populations [18]. Statistical analysis was performed by using SPSS ver. 14.0 (SPSS Inc., Chicago, IL, USA). A p-value was calculated by using the independent t-test for continuous variables and the Pearson chi-square test for categorical variables. Multinomial logistic regression was used to determine the associated factors for each urinary stone component. A p-value of less than 0.05 was considered statistically significant.

RESULTS

The patients' mean age was 49.2 years (range, 20 to 83 years). Of the 505 patients, 196 (38.7%) had CO stones, 172 (33.9%) had COP stones, 72 (14.2%) had CP stones, 50 (9.8%) had UA stones, and 15 (2.9%) had struvite stones. Among the CO and COP stone formers, 20 (10.2%) and 4 (2.3%) patients had UA components in their specimens, respectively. Among 50 patients having UA stones, 34 (68%) had pure UA stones, whereas the remaining 16 (32%) patients had mixed calcium components only besides UA. We did not include struvite stones in the statistical analysis because of the small number of patients; a total of 490 patients were included in this study. The urinary pH of obese patients was significantly lower than that of non-obese patients (p<0.001) (Table 1). According to the univariate analysis, UA stones were significantly correlated with older age (≥50 years), lower urinary pH (≤5.5), and obesity. The stone composition differed significantly among the nonobese and obese groups. Obese patients tended to have a greater percentage of UA and CO stones but a lower percentage of COP and CP stones (Table 2).
TABLE 1

Characteristics of the study population by body habitus

TABLE 2

Univariate analysis between stone components and other clinical parameters

UA: uric acid, CO: calcium oxalate, COP: mixed calcium oxalate and calcium phosphate, CP: calcium phosphate stones

Multinomial logistic regression analysis revealed obesity to be associated with UA stones compared with COP stones (odds ratio [OR] 3.488; 95% confidence interval [CI] 1.732-7.025; p<0.001) and CP stones (OR 2.765, 95% CI 1.222-6.259; p=0.015) (Table 3). Similar results were observed for CO stones compared with COP stones (OR 2.682; 95% CI 1.727-4.164; p<0.001) and CP stones (OR 2.126; 95% CI 1.176-3.843; p<0.013). Lower urinary pH (≤5.5) was associated with UA stones compared with COP, CP, and even CO stones (OR 4.040; 95% CI 2.044-7.985; p<0.001). Increased age was associated with UA stones compared with all other types of urinary stones (Table 3).
TABLE 3

Multinomial logistic regression analysis between components of urinary stones and various clinical parameters

UA/CP: uric acid stones compared with calcium phosphate stones, UA/COP: uric acid stones compared with calcium oxalate and calcium phosphate stones

DISCUSSION

The incidence of urinary stones has markedly increased during the past several decades, and studies have demonstrated that inappropriate dietary habits and the increasing prevalence of overweight people may be important in the etiology of stone formation [4-8]. Urinary stones can have different components such as CO, CP, UA, struvite, and a mixture of these. An association between the different urinary stone component types and obesity has not previously been well documented. Recent studies have revealed that obesity is associated with change in the chemical components of serum and urine such as citrate, phosphate, oxalate, and UA. Above all, obesity are associated with acidic urine. In this study, the mean urinary pH of obese patients (6.04) was significantly lower than that of nonobese patients (6.39; p<0.001). Although the exact mechanism is unclear, a possible explanation for the decline in urinary pH with obesity is insulin resistance, which decreases renal ammonia excretion and impairs hydrogen ion buffering. Low insulin bioactivity (due to insulin resistance from obesity) in the renal proximal tubule can theoretically lead to defective ammonium production or excretion, thus affecting urinary pH [20]. A low urinary pH (≤5.5) is a distinctive feature of UA stones [10]. The low urinary pH characteristic of idiopathic UA stone formers was shown by Sakhaee and Maalouf to be associated with decreased ammonium excretion, which by itself may be a renal manifestation of insulin resistance [21]. Confirming this hypothesis, our data provide evidence of the significant influence of increasing BMI on the risk of forming UA stones compared with COP and CP stones according to the multinomial logistic regression analysis. The proportion of UA stones was over two times higher in obese patients than in lean patients. In addition, older age (≥50 years) was found to be another factor significantly associated with UA stones. Because decreased ammonium excretion resulting in a lower urinary pH is frequently seen in the elderly, age-associated defective urinary acidification may be the major contributing factor for older subjects [22,23]. The prevalence of insulin resistance also increases with age [24]. This study also revealed that a higher BMI was significantly associated with CO stone formation compared with COP and CP stones. The common hypothesis was that obese patients, due to high food intake, may have higher urinary excretion of lithogenic solutes, especially oxalate, calcium, and UA. Increased urinary UA excretion is not only associated with UA stone formation, but also poses a risk factor for CO stone formation because CO stones may develop by the salting-out effect in a hyperuricosuria environment [25,26]. A decrease in urine pH leads to decreased production of CP crystals, which results in a relative increase in the formation of CO stones [27]. Our analysis revealed a correlation between the prevalence of CO stones and lower urinary pH compared with CP (OR 4.641; 95% CI 1.989-10.827; p<0.001). The current study has several limitations. First, our sample population included only patients who underwent surgical intervention, which does not reflect the vast majority of patients with urinary stone disease. Second, the patients' serum and urine biochemical profiles were not investigated. Also, urinary pH had a diurnal variation. Urine collected in the morning had a significantly lower pH than urine collected in the day or evening [28]. We used a single urine sample collected at a variable time, which could have distorted the results. Third, the International Association for the Study of Obesity proposed the criterion for obesity as a BMI above 30 kg/m2, which was based on Caucasian data [29]. In contrast, for people from Asia-Oceania, where the main energy intake comes from carbohydrates, obesity is defined as a BMI above 25 kg/m2 [18]. This disparity between the cutoff points is quite large; therefore, we believe our conclusion may not be applicable to other ethnic populations. If we adopted the Western criterion for obesity in this study, only 7.1% (35/490) of the participants would have been classified as obese, compared with 42.0% according to the Asian criterion.

CONCLUSIONS

This study revealed obesity to be associated with UA and CO stones compared with COP and CP stones. This finding suggests that clinicians should encourage urinary stone patients to reduce their weight, especially those with history of CO and UA stones.
  27 in total

Review 1.  Critical appraisal of salting-out and its implications for chemical and biological sciences.

Authors:  Phulwinder K Grover; Rosemary L Ryall
Journal:  Chem Rev       Date:  2005-01       Impact factor: 60.622

Review 2.  Criteria and classification of obesity in Japan and Asia-Oceania.

Authors:  Masao Kanazawa; Nobuo Yoshiike; Toshimasa Osaka; Yoshio Numba; Paul Zimmet; Shuji Inoue
Journal:  World Rev Nutr Diet       Date:  2005       Impact factor: 0.575

3.  The role of race in determining 24-hour urine composition in white and Asian/Pacific Islander stone formers.

Authors:  Brian H Eisner; Sima P Porten; Seth K Bechis; Marshall L Stoller
Journal:  J Urol       Date:  2010-02-20       Impact factor: 7.450

4.  Time trends in reported prevalence of kidney stones in the United States: 1976-1994.

Authors:  Kiriaki K Stamatelou; Mildred E Francis; Camille A Jones; Leroy M Nyberg; Gary C Curhan
Journal:  Kidney Int       Date:  2003-05       Impact factor: 10.612

5.  Association of urinary pH with body weight in nephrolithiasis.

Authors:  Naim M Maalouf; Khashayar Sakhaee; Joan H Parks; Frederic L Coe; Beverley Adams-Huet; Charles Y C Pak
Journal:  Kidney Int       Date:  2004-04       Impact factor: 10.612

6.  Renal acidification in elderly subjects.

Authors:  B N Agarwal; F G Cabebe
Journal:  Nephron       Date:  1980       Impact factor: 2.847

7.  Role of overweight and obesity on the urinary excretion of promoters and inhibitors of stone formation in stone formers.

Authors:  Armando Luis Negri; Francisco Rodolfo Spivacow; Elisa Elena Del Valle; Mariano Forrester; Gabriela Rosende; Irene Pinduli
Journal:  Urol Res       Date:  2008-11-05

8.  Lithogenic risk factors in the morbidly obese population.

Authors:  Branden G Duffey; Renato N Pedro; Carly Kriedberg; Derek Weiland; Jonathan Melquist; Sayeed Ikramuddin; Todd Kellogg; Antoine A Makhlouf; Manoj Monga
Journal:  J Urol       Date:  2008-03-04       Impact factor: 7.450

9.  Uric acid saturation in calcium nephrolithiasis.

Authors:  F L Coe; A L Strauss; V Tembe; S Le Dun
Journal:  Kidney Int       Date:  1980-05       Impact factor: 10.612

10.  Ambulatory evaluation of nephrolithiasis: an update of a 1980 protocol.

Authors:  F L Levy; B Adams-Huet; C Y Pak
Journal:  Am J Med       Date:  1995-01       Impact factor: 4.965

View more
  6 in total

1.  The visceral fat compartment is independently associated with changes in urine constituent excretion in a stone forming population.

Authors:  Ethan B Fram; Ilir Agalliu; Joseph DiVito; David M Hoenig; Joshua M Stern
Journal:  Urolithiasis       Date:  2015-04-23       Impact factor: 3.436

2.  Prevalence of renal uric acid stones in the adult.

Authors:  Alberto Trinchieri; Emanuele Montanari
Journal:  Urolithiasis       Date:  2017-03-03       Impact factor: 3.436

3.  Changes in stone composition over two decades: evaluation of over 10,000 stone analyses.

Authors:  Rachel Moses; Vernon M Pais; Michal Ursiny; Edwin L Prien; Nicole Miller; Brian H Eisner
Journal:  Urolithiasis       Date:  2015-02-18       Impact factor: 3.436

4.  Which anthropometric measurements including visceral fat, subcutaneous fat, body mass index, and waist circumference could predict the urinary stone composition most?

Authors:  Jae Heon Kim; Seung Whan Doo; Kang Su Cho; Won Jae Yang; Yun Seob Song; Jiyoung Hwang; Seong Sook Hong; Soon-Sun Kwon
Journal:  BMC Urol       Date:  2015-03-14       Impact factor: 2.264

5.  Large database study of urinary stone composition in South Korea: Korean Society of Endourology and Robotics (KSER) research series.

Authors:  Hae Do Jung; Ill Young Seo; Joo Yong Lee
Journal:  Investig Clin Urol       Date:  2021-07

6.  Renal and Ureteric Stone Composition: A five year retrospective study for Northern Ireland.

Authors:  Matthew Tyson; Nathen Grimes; Laura McAuley; Derek Hennessy; Ajay Pahuja; Michael Young
Journal:  Ulster Med J       Date:  2019-01-22
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.