Risk of Fracture in Urolithiasis: A Population-Based Cohort Study Using the Health Improvement Network : Clinical Journal of the American Society of Nephrology

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Risk of Fracture in Urolithiasis

A Population-Based Cohort Study Using the Health Improvement Network

Denburg, Michelle R.*; Leonard, Mary B.*; Haynes, Kevin; Tuchman, Shamir; Tasian, Gregory*; Shults, Justine*; Copelovitch, Lawrence*

Author Information
Clinical Journal of the American Society of Nephrology 9(12):p 2133-2140, December 2014. | DOI: 10.2215/CJN.04340514
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Abstract

Introduction

Urolithiasis is a common condition with a prevalence of 3%–5% and a lifetime risk of 11% in men and 5.6% in women (1,2). The incidence has been increasing worldwide, possibly related to the rising prevalence of obesity and diabetes (3,4). Forty percent of patients recur within 5 years, and 75% recur within 20 years (2,5). Approximately 90% of individuals with recurrent urolithiasis have a demonstrable metabolic abnormality, with hypercalciuria accounting for 40%–60% of identifiable abnormalities (6,7).

Idiopathic hypercalciuria (IH) can lead to negative calcium balance, which can compromise bone modeling. Consequently, it is not surprising that studies have reported decreased bone mineral density (BMD) in patients with IH (8). Most (911) but not all (12) studies have demonstrated reduced BMD among individuals with urolithiasis. Sites of observed bone loss include the spine, femoral neck, and radius (810,1315). Low BMD has not been consistently observed in studies of normocalciuric formers of renal calculi (8,16). Interestingly, one study showed that low BMD of the spine and femoral neck correlated with increasing urinary calcium losses in those with a history of renal calculi, but not in those who had never formed a calculus (17).

It remains unclear whether the low BMD observed in individuals with urolithiasis contributes to an increased burden of fracture. Studies of fracture risk in this population are limited. One retrospective cohort study of 624 patients with symptomatic urolithiasis demonstrated that the risk of vertebral fracture was four times greater than expected based on rates in the general population, but found no increased risk in fractures of the hip, pelvis, humerus, or forearm (18). A subsequent cross-sectional study of 793 adults with a history of renal calculi from the Third National Health and Nutrition Examination Survey (NHANES III) found that men, but not women, were more likely to report a history of spine and wrist fractures (15).

The study of disease-associated fractures requires a valid source of fracture data and attention to age-, sex-, and geographic-related variations in fracture risk. The Health Improvement Network (THIN) database has been used to characterize the risk of fracture associated with several chronic conditions and drug exposures in adults and children (1926). The objectives of this large population-based study were to determine whether urolithiasis is associated with a higher risk of incident fracture and to delineate age and sex effects. A secondary aim was to assess the distribution of fracture sites in participants with compared to those without urolithiasis.

Materials and Methods

Study Design/Data Source

We conducted a population-based retrospective cohort study using the THIN database. THIN provides deidentified data from the electronic medical records of 553 general practices in the United Kingdom, including demographics, diagnoses, prescriptions, procedures, and select laboratory measures, and comprises data from >10 million people (27). Medical diagnoses are recorded using Read codes, the standard classification system in the United Kingdom (28). The January 2012 version of the database was used. The study adhered to the Declaration of Helsinki, was approved by the THIN Scientific Review Committee and determined by the Institutional Review Board of the University of Pennsylvania to meet eligibility criteria for institutional review board exemption authorized by 45 CFR §46.101, category 4.

Study Population

Participants with acceptable records for research based on checks performed by the data vendor and at least one of 87 Read codes consistent with urolithiasis (Supplemental Material) were included as exposed. The most frequently used codes were as follows: renal calculus, renal stone, extracorporeal shockwave lithotripsy for renal calculus, calculus of kidney, and ureteric calculus. For each participant with urolithiasis, up to 10 randomly selected participants without urolithiasis who were matched on age (3-year age groups up to 30 years and 5-year age groups thereafter), sex, and practice were included as unexposed. To mitigate against misclassification bias, participants who only had codes for renal colic, bladder/lower urinary tract calculi (presumed infectious), infectious calculi, hypercalciuria, or nephrocalcinosis (n=61,270) were excluded from the entire cohort (see the Supplemental Material for these 49 codes). We excluded 221 participants because of the absence of an associated date(s) for the urolithiasis event(s) and 1504 participants whose last code for urolithiasis was before 1970. Data on participants aged ≥90 years were excluded.

The timing of initial diagnosis of urolithiasis for all exposed participants was the date of their first entry of a urolithiasis code. The start of the observation period for ascertainment of incident fractures in these participants was the latest of this initial Read code for urolithiasis, 6 months after registration with the practice, and the date that the practice started using the Vision software as the electronic medical record. Requiring that the period of observation start after 6 months of registration and use of Vision software is standard practice for ascertainment of incident fracture events in the THIN database and avoids inclusion of prevalent events (i.e., fractures that occurred before the observation period) (29). Because the urolithiasis code may have preceded either 6 months of registration or the practice’s use of the Vision software, the time from urolithiasis exposure to fracture outcome may exceed the observation period. Historical fractures were not an exclusion criterion, but were adjusted for in the analysis. The observation period for unexposed participants started on the same date as that of their matched exposed participant. The median calendar year for the start of observation was 2004 (range 1994–2012). The observation period ended with the earliest of the following: last collection date for the practice, or when applicable, transfer out of the practice, death, or initial fracture event. Given the retrospective observational nature of this medical records database, participants are not recruited for participation. Transfer out of a given practice is a routine occurrence, and the reasons for transferring out of a practice are unknown, but are likely nondifferential.

Fracture Outcome

Fractures were identified using consistent Read diagnostic codes and classified according to anatomic site as follows: vertebral, skull/face, pelvis, rib/thorax, clavicle/scapula, humerus/elbow, forearm/wrist, hand, femur/hip, lower leg/ankle, and foot. We excluded surgically induced fractures and fractures attributed to birth trauma or metastatic bone disease. We also excluded codes indicative of follow-up care for fracture due to concerns about timing of the associated fracture event. For the minority (1.5%) of first fracture events for which there were codes for ≥2 sites on the same date, the fracture was categorized as multisite. Fractures were categorized by the site-specific code if both site-specific and nonspecific codes were entered for the date of first fracture.

Covariates

The following potential confounding conditions and medications were evaluated: diabetes mellitus, gout, cystic fibrosis, prematurity/low birth weight, primary hyperparathyroidism, sarcoidosis, inflammatory bowel disease (IBD), fat malabsorption/pancreatic insufficiency, chronic immobility/neurogenic bladder, systemic corticosteroids, loop diuretics, and topiramate. Covariate exposure was defined as having a consistent Read code or prescription recorded by the start of observation with the exception of conditions inherently present from birth, which were defined by ever having a consistent diagnostic code.

Statistical Analyses

Descriptive statistics were reported as the median and interquartile range for continuous variables and frequencies for categorical variables. Group differences in categorical variables were assessed using the chi-square test. Cox proportional hazards regression was used to assess the association between urolithiasis and incident fracture. Because the median observation period was 4.7 years, using age at start of observation would generate misleading information regarding age-specific hazards. Therefore, the data set had multiple records for the majority (93%) of participants, with each record representing the time followed in a given year of life. We examined multiplicative interactions among age, sex, and urolithiasis. Stratified Cox regression models were used to estimate age- and sex-specific hazard ratios (HRs) with 95% confidence intervals (95% CIs). Multivariable Cox regression analysis was used to assess confounding by covariates. A two-sided P value of <0.05 was considered statistically significant. Analyses were performed using STATA 13.0 software (Stata Corporation, College Station, TX).

Results

Cohort Characteristics

Our cohort comprised 51,785 participants with urolithiasis and 517,267 unexposed participants (Table 1). Consistent with the established epidemiology of urolithiasis (1,2), there were twice as many men with urolithiasis than women. A history of fracture before start of observation was more common among participants with urolithiasis than among unexposed participants (P<0.001). All of the covariates selected a priori as potential confounding conditions and medications were significantly more prevalent among the participants with urolithiasis (all P<0.001).

T1-18
Table 1:
Cohort characteristics

Fracture Incidence

Over a median observation period for ascertainment of incident fracture of 4.7 years in both groups, 3524 incident fractures (118 per 10,000 person-years) occurred in participants with urolithiasis compared with 29,590 in those without urolithiasis (101 per 10,000 person-years). For participants with urolithiasis, the median time from the initial code for urolithiasis to the first incident fracture event was 10.0 years (interquartile range, 4.2, 18.4). The proportion of participants with urolithiasis censored at death (7.6%) and transfer out of their practice (19.6%) was similar to that of unexposed participants (7.7% and 20.6%, respectively). Figure 1 shows the incidence of first fracture in participants with versus without urolithiasis by sex and in each decade of life. Of note, the incidence in boys aged 10–19 years with urolithiasis was 392 per 10,000 person-years compared with 258 per 10,000 person-years in their unexposed peers. The incidence was 263 per 10,000 person-years among women aged 70–79 years with urolithiasis versus 218 per 10,000 person-years in unexposed women of this age.

F1-18
Figure 1:
Fracture incidence by decade of age and sex in participants with and without urolithiasis.

Fracture Site

Site of fracture differed by sex (P<0.001), with hand fractures being the most common among male participants (17%) and forearm/wrist the most common site (21%) among female participants. However, among both sexes, the distribution of fracture site did not differ between those with and without urolithiasis (Figure 2). Further stratification by decade of life revealed no differences in the sex-specific distribution of fracture site in participants with versus without urolithiasis.

F2-18
Figure 2:
Distribution of fracture site in participants with and without urolithiasis.

Cox Regression Analyses of Fracture Risk

A statistically significant three-way interaction was found among urolithiasis, sex, and age (P=0.003). Therefore, all analyses were stratified on sex and age (Figure 3). A statistically significant higher risk of fracture was found in male participants aged 10–19, 40–49, 50–59, and 80–89 years with urolithiasis. However, among male participants, there was no interaction between age and urolithiasis, indicating that the risk of fracture associated with urolithiasis did not vary with age; therefore, an overall HR of 1.13 (95% CI, 1.08 to 1.18) for fracture in male participants was reported. Among female participants, the risk of fracture associated with urolithiasis did vary according to age, with the excess risk being more pronounced among younger individuals (P for interaction, P<0.001). Urolithiasis was associated with a significantly higher risk of fracture from the third through seventh decades of life in women, greatest in women aged 30–39 years (HR, 1.55; 95% CI, 1.26 to 1.90).

F3-18
Figure 3:
HR for fracture associated with urolithiasis by age and sex. aGiven the presence of a statistically significant interaction between age and urolithiasis in female participants (i.e., the HR for fracture associated with urolithiasis in female participants differed according to age), an overall HR result cannot be reported for female participants. 95% CI, 95% confidence interval; HR, hazard ratio.

For male and female participants, each covariate was assessed separately using a base model that included urolithiasis and age. All covariates with a P value of <0.05 were then included in sex-specific multivariable models. In male participants, the following were significantly associated with fracture adjusted for age and urolithiasis: diabetes (HR, 1.26; P<0.001), gout (HR, 1.20; P<0.001), prematurity/low birth weight (HR, 1.62; P=0.02), primary hyperparathyroidism (HR, 1.56; P=0.05), IBD (HR, 1.25; P=0.001), immobility/neurogenic bladder (HR, 1.78; P<0.001), loop diuretics (HR, 1.81; P<0.001), systemic corticosteroids (HR, 1.38; P<0.001), and topiramate (HR, 3.92; P<0.001). In female participants, the following were associated with fracture adjusted for age, urolithiasis, and their interaction: diabetes (HR, 1.25; P<0.001), IBD (HR, 1.17; P=0.04), immobility/neurogenic bladder (HR, 1.28; P=0.003), loop diuretics (HR, 1.36; P<0.001), systemic corticosteroids (HR, 1.30; P<0.001), and topiramate (HR, 2.59; P<0.001). Cystic fibrosis, sarcoidosis, and malabsorption were not associated with fracture independent of urolithiasis and age in either sex. Table 2 shows the final multivariable Cox regression models for male and female participants. Urolithiasis remained significantly associated with fracture with minimal attenuation of the HR after adjustment for all of the aforementioned covariates. The overall adjusted HR in male participants was 1.10 (95% CI, 1.05 to 1.16). Urolithiasis remained associated with a higher risk of fracture from the third through seventh decades in women, with the excess risk being more pronounced in younger women, with adjusted HRs of 1.52 (95% CI, 1.23 to 1.87) in women aged 30–39 years versus 1.17 (95% CI, 1.05 to 1.30) in women aged 70–79 years.

T2-18
Table 2:
Sex-stratified multivariable Cox regression analyses of fracture risk associated with urolithiasis

In both male and female participants, history of prior fracture was independently associated with higher risk of incident fracture (HR, 1.75 and 1.95 in male and female participants, respectively; P<0.001), but did not confound the association between urolithiasis and fracture. There was a higher risk of fracture with advancing calendar year of start of observation (HR, 1.02 and 1.01 per year in male and female participants, respectively; P≤0.001), but adjustment for this secular trend did not affect model findings in terms of the HR associated with urolithiasis. Adjustment for calcium and vitamin D use did not attenuate the HR for fracture associated with urolithiasis in either sex. Furthermore, adjustment for thiazide use, with or without adjustment for hypertension, also did not change model findings. Thiazide use was not protective; it was associated with a higher risk of fracture in male participants (HR, 1.08; P=0.003) and was not associated with fracture in female participants. The significant association with fracture risk is consistent with confounding by indication. In the 197,067 participants with BMI data within 2 years of start of observation, adjustment for BMI did not affect model findings. Finally, we performed a sensitivity analysis limited to the 17,016 incident urolithiasis participants and their 170,121 matched unexposed participants, and urolithiasis remained significantly associated with higher fracture risk in multivariable Cox regression (overall HR, 1.11 in male participants; P=0.03) (HR, 1.59 and 1.34 in women aged 30–39 years and aged 70–79 years, respectively; P≤0.01).

Discussion

Urolithiasis has been identified as a risk factor for fracture in two prior studies (15,18). A retrospective cohort study (18) of 624 patients with symptomatic urolithiasis found a 4-fold greater risk of first vertebral fracture than expected in the general population. A subsequent cross-sectional study of 793 NHANES III participants (15) found that men, but not women, who reported a history of renal calculi were more likely to report a history of spine and wrist fractures. Our study has several strengths that expand upon this earlier work, conclusively confirm and define this association, and fill gaps in the previous literature. First, the robust size of the THIN database allowed us to study >50,000 participants with urolithiasis and compare them with >500,000 unexposed participants who were matched on age, sex, and practice. Second, we were able to delineate age and sex effects. The longitudinal nature of our study allowed us to assess the risk of incident fracture in each decade of life. Third, we were able to more clearly discern any differences in the distribution of fracture site. Finally, THIN has been shown to be representative of the larger United Kingdom population (30), making our findings generalizable.

We observed that for participants with urolithiasis, the median time from initial entry of a diagnosis code for urolithiasis to the first fracture was 10 years. Urolithiasis remained significantly associated with fracture after adjustment for potential confounding conditions and medications. Although there was no statistically significant interaction between urolithiasis and age on risk of fracture among male participants, the greatest risk was noted among male participants aged 10–19 years (55% higher), with a 10% increased risk overall. The risk of fracture associated with urolithiasis did vary according to age among women; there was a significantly higher risk of fracture from the third through seventh decades of life, with the highest risk in women aged 30–39 years (52% higher) and gradually declining until age 70–79 years (17% higher). We did not observe any difference in the distribution of fracture site in participants of either sex with versus without urolithiasis.

Our data cannot establish a causal mechanism, but clearly confirm the association between urolithiasis and risk of subsequent fracture. Current evidence points to an association between IH and diminished BMD. Several studies demonstrated that IH in childhood is associated with low BMD (31,32), suggesting that life-long hypercalciuria may compromise bone health and increase fracture risk. In addition, studies in postmenopausal women with primary osteoporosis have reported a 10%–19% prevalence of hypercalciuria (33,34).

Given that urolithiasis is common, our finding of its significant association with higher risk of fracture has profound implications for both patient outcomes and economic burden. Although our data suggest that the greatest excess fracture risk was in women aged 30–39 years, the greatest public health burden arises from the higher risk at times of peak background fracture incidence (258 and 218 per 10,000 person-years in boys aged 10–19 years and women aged 70–79 years), with an additional 134 and 45 fractures per 10,000 person-years in these age groups, respectively.

Thiazides and alkali therapy are the mainstays of treatment for urolithiasis associated with hypercalciuria and hypocitraturia, respectively. Several prospective studies in older adults have shown that thiazide use is associated with reduced hip fracture incidence (35) and increased BMD (36,37). Similarly, one study has shown increased vertebral and femoral neck BMD in osteopenic women treated with potassium citrate compared with controls (38).

Our study has several limitations. The THIN database does not include data on race, and only a subset of the participants had BMI data. However, adjustment for BMI, even in this reduced sample of the cohort, did not attenuate the association between urolithiasis and fracture. There were too few fracture events in children aged <10 years with urolithiasis to interpret the data in this group. Given that the median time from urolithiasis diagnosis to incident fracture was 10 years, the expected burden of urolithiasis-associated fracture in the first decade of life is likely lower. Because the exposure of urolithiasis was based on Read codes, there was potential for misclassification of exposure and underestimation of subclinical vertebral fractures. However, this would likely bias our results towards the null. The lack of dietary intake and physical activity data limit the evaluation of these relevant factors. The practice pattern of calcium restriction in urolithiasis may have influenced findings in participants diagnosed before the 1990s; however, urolithiasis remained significantly associated with fracture in the sensitivity analysis restricted to incident urolithiasis participants and their matched unexposed participants. The earliest year for the initial urolithiasis code in these participants was 1994 (≥2000 in 92%). Although adjustment for thiazide use did not change the finding of the association between urolithiasis and fracture, at the start of observation, only 1394 (2.7%) urolithiasis participants were prescribed a thiazide without a coexisting diagnosis of hypertension, limiting the ability to assess a potential protective effect of this therapy for the presumed indication of hypercalciuria. Finally, because of the low frequency of Read codes in the THIN database for urinary metabolic abnormalities, such as hypercalciuria, hypocitraturia, or hyperoxaluria (<1200 entries), and nephrocalcinosis (<1100 entries), we were unable to characterize which predisposing cause(s) of urolithiasis were associated with risk of fracture.

Urolithiasis and fragility fractures remain formidable health problems worldwide. The link between the two remains underappreciated, underdiagnosed, and undertreated. Our data highlight the importance of this association. Given that the time from initial diagnosis of urolithiasis to first fracture was a decade and that the excess risk affected all skeletal sites, there is reason to believe that we might possibly be able to intervene during this critical interval and decrease the risk of future fracture.

Disclosures

M.R.D. has received funding from a NephCure Foundation/American Society of Nephrology Research Grant, Genentech Inc, and the National Kidney Foundation/Amgen Kidney Disease Outcomes Quality Initiative Research Fellowship. M. R.D. has a consultancy agreement with Infiniti Medical. M.B.L. has consultancy agreements with Amgen Inc, Johnson & Johnson, and Novartis. She also serves/served as an Associate Editor for the Journal of the American Society of Nephrology and the Journal of Bone and Mineral Research, as well as on the American Society of Pediatric Nephrology Council, the Scientific Advisory Board of Marodyne Medical, and an NIH Data Safety and Monitoring Board. K.H. received funding from Bristol-Myers Squibb Company and AstraZeneca PLC. L.C. has a consultancy agreement with Alexion Pharmaceuticals Inc.

Acknowledgments

This project was supported by grants from the National Institutes of Health (NIH) (UL1-RR024134 and K23-DK093556 to M.R.D., K24-DK076808 to M.B.L. and J.S., and T32-HD060550 to G.T.).

The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; or preparation, review, and approval of the manuscript.

Published online ahead of print. Publication date available at www.cjasn.org.

This article contains supplemental material online at http://cjasn.asnjournals.org/lookup/suppl/doi:10.2215/CJN.04340514/-/DCSupplemental.

References

1. Stamatelou KK, Francis ME, Jones CA, Nyberg LM, Curhan GC: Time trends in reported prevalence of kidney stones in the United States: 1976-1994. Kidney Int 63: 1817–1823, 2003
2. Worcester EM, Coe FL: Clinical practice. Calcium kidney stones. N Engl J Med 363: 954–963, 2010
3. Eisner BH, Porten SP, Bechis SK, Stoller ML: Diabetic kidney stone formers excrete more oxalate and have lower urine pH than nondiabetic stone formers. J Urol 183: 2244–2248, 2010
4. Taylor EN, Stampfer MJ, Curhan GC: Obesity, weight gain, and the risk of kidney stones. JAMA 293: 455–462, 2005
5. Coe FL, Keck J, Norton ER: The natural history of calcium urolithiasis. JAMA 238: 1519–1523, 1977
6. Eisner BH, Sheth S, Dretler SP, Herrick B, Pais VM Jr: Abnormalities of 24-hour urine composition in first-time and recurrent stone-formers. Urology 80: 776–779, 2012
7. Hodgkinson A, Pyrah LN: The urinary excretion of calcium and inorganic phosphate in 344 patients with calcium stone of renal origin. Br J Surg 46: 10–18, 1958
8. Pietschmann F, Breslau NA, Pak CY: Reduced vertebral bone density in hypercalciuric nephrolithiasis. J Bone Miner Res 7: 1383–1388, 1992
9. Cauley JA, Fullman RL, Stone KL, Zmuda JM, Bauer DC, Barrett-Connor E, Ensrud K, Lau EM, Orwoll ESMr. OS Research Group: Factors associated with the lumbar spine and proximal femur bone mineral density in older men. Osteoporos Int 16: 1525–1537, 2005
10. Jaeger P, Lippuner K, Casez JP, Hess B, Ackermann D, Hug C: Low bone mass in idiopathic renal stone formers: Magnitude and significance. J Bone Miner Res 9: 1525–1532, 1994
11. Lawoyin S, Sismilich S, Browne R, Pak CY: Bone mineral content in patients with calcium urolithiasis. Metabolism 28: 1250–1254, 1979
12. Sowers MR, Jannausch M, Wood C, Pope SK, Lachance LL, Peterson B: Prevalence of renal stones in a population-based study with dietary calcium, oxalate, and medication exposures. Am J Epidemiol 147: 914–920, 1998
13. Bataille P, Fardellone P, Ghazali A, Cayrolle G, Hottelart C, Achard JM, Fournier A: Pathophysiology and treatment of idiopathic hypercalciuria. Curr Opin Rheumatol 10: 373–388, 1998
14. Fuss M, Pepersack T, Van Geel J, Corvilain J, Vandewalle JC, Bergmann P, Simon J: Involvement of low-calcium diet in the reduced bone mineral content of idiopathic renal stone formers. Calcif Tissue Int 46: 9–13, 1990
15. Lauderdale DS, Thisted RA, Wen M, Favus MJ: Bone mineral density and fracture among prevalent kidney stone cases in the Third National Health and Nutrition Examination Survey. J Bone Miner Res 16: 1893–1898, 2001
16. Weisinger JR, Alonzo E, Bellorín-Font E, Blasini AM, Rodriguez MA, Paz-Martínez V, Martinis R: Possible role of cytokines on the bone mineral loss in idiopathic hypercalciuria. Kidney Int 49: 244–250, 1996
17. Asplin JR, Bauer KA, Kinder J, Müller G, Coe BJ, Parks JH, Coe FL: Bone mineral density and urine calcium excretion among subjects with and without nephrolithiasis. Kidney Int 63: 662–669, 2003
18. Melton LJ 3rd, Crowson CS, Khosla S, Wilson DM, O’Fallon WM: Fracture risk among patients with urolithiasis: A population-based cohort study. Kidney Int 53: 459–464, 1998
19. Berry SD, Zhu Y, Choi H, Kiel DP, Zhang Y: Diuretic initiation and the acute risk of hip fracture. Osteoporos Int 24: 689–695, 2013
20. Collins GS, Mallett S, Altman DG: Predicting risk of osteoporotic and hip fracture in the United Kingdom: Prospective independent and external validation of QFractureScores. BMJ 342: d3651, 2011
21. Gutiérrez L, Roskell N, Castellsague J, Beard S, Rycroft C, Abeysinghe S, Shannon P, Gitlin M, Robbins S: Clinical burden and incremental cost of fractures in postmenopausal women in the United Kingdom. Bone 51: 324–331, 2012
22. Gutiérrez L, Roskell N, Castellsague J, Beard S, Rycroft C, Abeysinghe S, Shannon P, Robbins S, Gitlin M: Study of the incremental cost and clinical burden of hip fractures in postmenopausal women in the United Kingdom. J Med Econ 14: 99–107, 2011
23. Orton E, Kendrick D, West J, Tata LJ: Independent risk factors for injury in pre-school children: Three population-based nested case-control studies using routine primary care data. PLoS ONE 7: e35193, 2012
24. Pujades-Rodríguez M, Smith CJ, Hubbard RB: Inhaled corticosteroids and the risk of fracture in chronic obstructive pulmonary disease. QJM 100: 509–517, 2007
25. Schelleman H, Pollard JR, Newcomb C, Markowitz CE, Bilker WB, Leonard MB, Hennessy S: Exposure to CYP3A4-inducing and CYP3A4-non-inducing antiepileptic agents and the risk of fractures. Pharmacoepidemiol Drug Saf 20: 619–625, 2011
26. van Staa TP, Kanis JA, Geusens P, Boonen A, Leufkens HG, Cooper C: The cost-effectiveness of bisphosphonates in postmenopausal women based on individual long-term fracture risks. Value Health 10: 348–357, 2007
27. Finkelstein JS, Lee ML, Sowers M, Ettinger B, Neer RM, Kelsey JL, Cauley JA, Huang MH, Greendale GA: Ethnic variation in bone density in premenopausal and early perimenopausal women: Effects of anthropometric and lifestyle factors. J Clin Endocrinol Metab 87: 3057–3067, 2002
28. Chisholm J: The Read clinical classification. BMJ 300: 1092, 1990
29. Lewis JD, Bilker WB, Weinstein RB, Strom BL: The relationship between time since registration and measured incidence rates in the General Practice Research Database. Pharmacoepidemiol Drug Saf 14: 443–451, 2005
30. Blak BT, Thompson M, Dattani H, Bourke A: Generalisability of The Health Improvement Network (THIN) database: Demographics, chronic disease prevalence and mortality rates. Inform Prim Care 19: 251–255, 2011
31. García-Nieto V, Ferrández C, Monge M, de Sequera M, Rodrigo MD: Bone mineral density in pediatric patients with idiopathic hypercalciuria. Pediatr Nephrol 11: 578–583, 1997
32. Penido MG, Lima EM, Marino VS, Tupinambá AL, França A, Souto MF: Bone alterations in children with idiopathic hypercalciuria at the time of diagnosis. Pediatr Nephrol 18: 133–139, 2003
33. Giannini S, Nobile M, Dalle Carbonare L, Lodetti MG, Sella S, Vittadello G, Minicuci N, Crepaldi G: Hypercalciuria is a common and important finding in postmenopausal women with osteoporosis. Eur J Endocrinol 149: 209–213, 2003
34. Tannenbaum C, Clark J, Schwartzman K, Wallenstein S, Lapinski R, Meier D, Luckey M: Yield of laboratory testing to identify secondary contributors to osteoporosis in otherwise healthy women. J Clin Endocrinol Metab 87: 4431–4437, 2002
35. LaCroix AZ, Wienpahl J, White LR, Wallace RB, Scherr PA, George LK, Cornoni-Huntley J, Ostfeld AM: Thiazide diuretic agents and the incidence of hip fracture. N Engl J Med 322: 286–290, 1990
36. LaCroix AZ, Ott SM, Ichikawa L, Scholes D, Barlow WE: Low-dose hydrochlorothiazide and preservation of bone mineral density in older adults. A randomized, double-blind, placebo-controlled trial. Ann Intern Med 133: 516–526, 2000
37. Reid IR, Ames RW, Orr-Walker BJ, Clearwater JM, Horne AM, Evans MC, Murray MA, McNeil AR, Gamble GD: Hydrochlorothiazide reduces loss of cortical bone in normal postmenopausal women: A randomized controlled trial. Am J Med 109: 362–370, 2000
38. Jehle S, Zanetti A, Muser J, Hulter HN, Krapf R: Partial neutralization of the acidogenic Western diet with potassium citrate increases bone mass in postmenopausal women with osteopenia. J Am Soc Nephrol 17: 3213–3222, 2006
Keywords:

kidney stones; epidemiology and outcomes; risk factors

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