1. Introduction
Nephrolithiasis (kidney stones) is a common urologic condition and a significant source of patient morbidity and healthcare expenditure [
1]. Up to half of patients experience recurrent disease [
2].
The risk of nephrolithiasis is estimated to be higher in men compared to women (10.6% versus 7.1%, respectively) and more commonly reported among White (10.3%) than Black patients (4.3%) [
3]. However, the prevalence of the condition has been increasing, especially among Black women [
4,
5] who have higher rates of components of the metabolic syndrome (e.g., obesity, type 2 diabetes) [
6,
7] which have been linked to kidney stone formation [
8,
9]. For example, a recent study in a cohort of US Black women found positive associations between metabolic and dietary factors, gallstones, and the risk of stone formation [
9].
Clinical metabolic evaluation is a key tool for predicting risk and lowering the chances of recurring kidney stones [
10]. Despite their high levels of risk factors for stone disease, no studies have exclusively analyzed the clinical and metabolic characteristics of black women. We report on data collected in the Black Women’s Health Study (BWHS) from a subset of participants with a history of nephrolithiasis regarding diagnosis and treatments for stones, including risk factors associated with completing a metabolic workup within this population.
2. Materials and Methods
2.1. The Black Women’s Health Study
The BWHS began in 1995 when 59,000 Black women aged 21-69 years from across the United States enrolled by completing postal health questionnaires [
11,
12,
13]. Biennial follow-up through questionnaires has been successful for >85% of potential person-years of follow-up after 12 biennial questionnaire cycles. The 1995 baseline questionnaire collected information on a wide range of variables, including demographic factors, reproductive, behavioral, and medical history, anthropometry, and medications. Follow-up questionnaires ascertain new occurrences of health conditions, and update information on weight, physical activity, smoking, alcohol use, parity, menopause, and other factors. The study protocol was approved by the Institutional Review Board of Boston University School of Medicine. Participants indicate consent by completing and returning study questionnaires.
2.2. Supplemental Urinary Tract Function Questionnaire
In 2017, a subset of BWHS participants were invited to complete an online self-administered supplemental questionnaire aimed at collecting data on urinary tract function, including urinary incontinence (UI), urinary tract infection, and kidney stones. We emailed invitations and a link to the supplemental questionnaire to a random sample of 5,780 participants who had previously completed the online version of the 2011, 2013, and 2017 follow-up BWHS questionnaires, and who had indicated in either the 2011 or 2013 questionnaire that they had monthly or more frequent experiences of UI. The supplemental questionnaire included the following questions on kidney stones: “Have you ever been diagnosed with kidney stones?” (yes, no); If yes, “How many kidney stones in the last year?” (number); ”How many kidney stones in your lifetime?” (number); “Age at first kidney stone?” (years); “Do you currently have kidney stones?” (yes, no); If yes, “How many CT scans for kidney stones?” (number); “How many surgical procedures for kidney stones?” (number); and “Have you ever had a metabolic workup (24-hour urine collection) to determine your risk for developing a kidney stone?” (yes, no).
2.3. Covariates
Data on completed education (≤12, 13-15, ≥16 years) was collected on the 1995 baseline and 2003 questionnaires. Data on height was collected at baseline. Data on age, weight, cigarette smoking (ever, never), alcohol consumption (<1, 1-6, ≥7 drinks/week), recent medical visit (yes, no), history of type-2 diabetes (yes, no), hypertension (yes, no), and high cholesterol (yes, no) were collected on most follow-up questionnaires. The values used in this report were values as of 2017.
2.4. Data Analysis
The current analysis is based on the 201 women who, on the supplemental questionnaire, reported a history of nephrolithiasis and answered questions regarding testing and treatment for kidney stones in 2017. We summarized sample characteristics by calculating means, standard deviations, and proportions (Chi-square tests).
3. Results
Table 1 presents data on the characteristics of the BWHS participants who were invited to complete the supplemental questionnaire (n=5,780) and those who completed the questionnaire (n=2,750). The women who completed the supplemental questionnaire were similar in age, BMI, region of the U.S. in which they lived, smoking and alcohol habits, and prevalence of type 2 diabetes, hypertension, and hyperlipidemia to the larger group of BWHS participants invited to complete the UI web questionnaire. The women who reported a history of nephrolithiasis (n=201) were similar in terms of age (mean: 32.6 (SD: 7.1) vs mean: 31.9 (SD: 7.2), years) and BMI (mean: 60.8 (SD: 8.6) vs mean: 59.3 (SD: 8.6), kg/m2), but were slightly more educated than the population from which they were drawn (≥16 years of education: 62% vs 57%). They also had higher prevalence of hypertension (71% vs 59%), hyperlipidemia (58% vs 51%), and type-2 diabetes (31% vs 23%); they were also more likely to concurrently report 3 or more metabolic syndrome traits (40% vs 29%).
Table 2 presents the clinical characteristics of nephrolithiasis reported by sub-study participants. On average, participants experienced their first kidney stone at age 45 (range: 16-82 years), and 19% had the condition at the time of the questionnaire. Further, 39% experienced
> 2 stones in their lifetime, with 26% reporting at least one occurrence in the last year. Approximately one third (32%) had completed a metabolic workup for their kidney stones, while 70% had undergone a CT scan, and 29% required a surgical procedure to treat their nephrolithiasis.
In
Table 3, we describe the frequency of metabolic workup according to clinical characteristics of the BWHS Sub-study participants who completed a metabolic evaluation. Those evaluated were more likely to be aged 40 years and older (69%), to have experienced >1 stone in their lifetime (57%), and undergone one or more CT scan (89%) or surgery (54%). The frequency of evaluation also increased as the number of metabolic syndrome components increased: 0 components (3%) versus 3-4 components (43%).
4. Discussion
In this study, we report data from a subset of participants with a history of nephrolithiasis in the Black Women’s Health Study, a prospective epidemiologic follow-up of US black women. Among the sample of women who had kidney stones, there was a high prevalence of 3 or more concomitant metabolic syndrome traits. Additionally, there were high reports of stone recurrence and use of CT-scan to evaluate kidney stones, but overall low rates of metabolic evaluation of risk. In particular, 39% reported having experienced 2 or more stones in their lifetime. This recurrence rate is consistent with previous reports of 30-40% [
2,
14], and highlights the importance of secondary prevention in urinary stone disease. A metabolic evaluation can assist in directing preventive measures [
15]. However, only 32% of study participants reported completing a metabolic workup. Metabolic evaluation was highest among women reporting recurrent stones (57%). Both the European Urological Association (EUA) and the American Urological Association (AUA) recommend that a metabolic workup should be performed in interested first-time and recurrent stone formers, or those considered high risk, such as those with obesity and type-2 diabetes mellitus [
16,
17,
18]. In the present study, 58% of women reporting kidney stones were obese and 31% of reported a diagnosis of T2DM. However, only 54% and 38% of women with these conditions, respectively, reported undergoing a metabolic workup.
Few studies have analyzed factors associated with completing a metabolic workup for kidney stones. Sninsky et al found that low education, high poverty, and younger age are associated with lower rates of 24-hour urine collection [
19]. Ghiraldi et al found that African American patients were nearly half as likely to submit a 24-hour urine compared to Caucasian patients (30.9% vs 51.8%; p < 0.05), while patients with a family history of stones were twice as likely to submit a urine sample compared to those without [
20]. In our study, in which participants are educated, older, and reported a medical visit within the previous 2-year period, a low proportion of women reported submitting a 24-hour urine. Thus, age, education, and poverty alone do not account for the low frequency of metabolic testing. Other possible contributors to low metabolic evaluation include higher levels of medical mistrust or poorer communication between patients and providers, in addition to the inconvenience of sample collection [
21]. We did not collect information on those factors.
There is also evidence that provider practice patterns strongly influence the use of metabolic evaluation for stone disease. An analysis of medical claims data found that specialty of the follow-up provider after an acute stone event influences whether or not a metabolic evaluation is performed [
22]. A survey conducted among North American members of the Endourological Society found that only 5% of respondents reported collecting 24-hour samples in all first-time stone formers, and only 6% collected samples in all clinical scenarios. Furthermore, less than half reported collecting samples in all recurrent stone formers, and only a third collected samples in high risk first-time stone formers [
23]. Further research is needed to assess barriers to compliance, in both patients and providers, as results from this testing can lead to future stone prevention.
CT scans are widely recognized as the preferred imaging method for diagnosing kidney stones and notably their usage has been on the rise [
20,
24]. In our study, 70% of participants diagnosed with a kidney stone reported undergoing a CT scan, aligning with current literature. Due to the cross-sectional nature of our data, however we could not determine whether CT scans were used to diagnose recurrent stone formation. Analyzing data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) and National Health and Nutrition Examination Survey (NHANES), Fwu and colleagues, observed an increase in CT scan utilization for urolithiasis from 21% to 71% between 1998/2000 and 2007/2009 [
25]. Although CT scans are highly effective in detecting stones, their drawbacks include cost and radiation exposure [
24]. For patients with recurrent stones, this can lead to significant radiation exposure [
26], and future health risks [
27]. Reducing kidney stone formation through metabolic evaluation can effectively decrease radiation exposure and associated health risks for patients.
Twenty-nine percent of our sample reported undergoing surgery for their stones, of which 5% underwent three or more procedures. Results from prior studies have reported frequencies between20-38% of stone formers undergoing surgery [
28,
29], with approximately 7% undergoing repeat surgical procedures [
29]. Among the possible reasons for surgery is the significant economic impact on work productivity associated with kidney stones, which may prompt patients to choose treatment rather than waiting for the stone to pass spontaneously [
30]. Additionally, first time stone formers with narrower ureters may face greater symptoms and difficulties in stone passage, leading them to opt for surgical intervention [
29]. In a study by Portis et al, 38% of stone formers presenting to an emergency room within a major US metropolitan health system went directly to surgery. Of this group, symptoms were the primary reason for the procedure for 52% [
29]. In the current analysis, we did not collect information on the indications for surgery.
Our study has notable strengths and limitations. The current analysis was limited by the small sample size. In addition, our data involved self-reported kidney stones without confirmation by medical record. In the Health Professions Follow-up Study, 97% of self-reported cases of kidney stones were confirmed by medical record review [
31]. In the BWHS, validation studies of other conditions (type-2 diabetes, hypertension, sarcoidosis) have demonstrated high degrees of accuracy of self-report [
32,
33,
34]. While we cannot exclude the possibility that undiagnosed kidney stones may have introduced some degree of bias, the fact that the vast majority of all BWHS participants report access to regular health care suggests that any such bias is small. The BWHS participants are not a random sample of US black women, and the study population underrepresents the 15% of Black women nationally of the same ages who did not complete high school [
35]. However, the participants represent all areas of the United States [
13]. Finally, the study sample used as the basis of the current analysis consisted entirely of women reporting urinary incontinence which could have biased results. For example, the lifetime prevalence of stones previously reported for black patients was 4.3%
3, compared to 7.3% reported in the current study, a difference also possibly magnified by our limited sample size [
9]. In addition, there has been a dearth of studies involving Black patients and kidney stones, thus, the true burden of nephrolithiasis in this population is not clear. Nevertheless, the overall number of participants reporting a metabolic workup (32%) was still lower than anticipated. Study strengths include data on important clinical characteristics, as well as the ongoing nature of the BWHS cohort. The similarity of the characteristics of women who answered the questionnaire on which the kidney stone data were reported to the random sample of BWHS participants from which that group was drawn suggests that the answers were an unbiased representation of characteristics of the larger cohort.
Author Contributions
All authors of this research manuscript have directly participated in the planning, execution or analysis of this study as follows: Conceptualization, Y.C. and S.W.; Methodology, Y.C., S.W., R.B, D.W.; Software, Y.C. and M.D.; Validation Y.C.; Formal analysis, M.D. and Y.C.; Investigation, Y.C. and S.W.; Resources, Y.C., and S.W.; Data curation, Y.C.; Writing – original draft preparation, M.D., Y.C., and S.W.; Writing – review and editing, M.D., Y.C., S.W., R.B. and D.W.; Visualization, Y.C., M.D., and S.W.; Supervision, Y.C. and S.W.; Project administration, Y.C.; Funding acquisition, Y.C.. All authors have read and agreed to the published version of the manuscript.