24-Hour Urinary Sodium and Potassium Excretion and Cardiovascular Risk.

BACKGROUND: The relation between sodium intake and cardiovascular disease remains controversial, owing in part to inaccurate assessment of sodium intake. Assessing 24-hour urinary excretion over a period of multiple days is considered to be an accurate method. METHODS: We included individual-participant data from six prospective cohorts of generally healthy adults; sodium and potassium excretion was assessed with the use of at least two 24-hour urine samples per participant. The primary outcome was a cardiovascular event (coronary revascularization or fatal or nonfatal myocardial infarction or stroke). We analyzed each cohort using consistent methods and combined the results using a random-effects meta-analysis. RESULTS: Among 10,709 participants, who had a mean (±SD) age of 51.5±12.6 years and of whom 54.2% were women, 571 cardiovascular events were ascertained during a median study follow-up of 8.8 years (incidence rate, 5.9 per 1000 person-years). The median 24-hour urinary sodium excretion was 3270 mg (10th to 90th percentile, 2099 to 4899). Higher sodium excretion, lower potassium excretion, and a higher sodium-to-potassium ratio were all associated with a higher cardiovascular risk in analyses that were controlled for confounding factors (P≤0.005 for all comparisons). In analyses that compared quartile 4 of the urinary biomarker (highest) with quartile 1 (lowest), the hazard ratios were 1.60 (95% confidence interval [CI], 1.19 to 2.14) for sodium excretion, 0.69 (95% CI, 0.51 to 0.91) for potassium excretion, and 1.62 (95% CI, 1.25 to 2.10) for the sodium-to-potassium ratio. Each daily increment of 1000 mg in sodium excretion was associated with an 18% increase in cardiovascular risk (hazard ratio, 1.18; 95% CI, 1.08 to 1.29), and each daily increment of 1000 mg in potassium excretion was associated with an 18% decrease in risk (hazard ratio, 0.82; 95% CI, 0.72 to 0.94). CONCLUSIONS: Higher sodium and lower potassium intakes, as measured in multiple 24-hour urine samples, were associated in a dose-response manner with a higher cardiovascular risk. These findings may support reducing sodium intake and increasing potassium intake from current levels. (Funded by the American Heart Association and the National Institutes of Health.).

Sex differences in the pleiotropy of hearing difficulty with imaging-derived phenotypes: a brain-wide investigation.

Hearing difficulty (HD) is one of the major health burdens in older adults. While aging-related changes in the peripheral auditory system play an important role, genetic variation associated with brain structure and function could also be involved in HD predisposition. We analyzed a large-scale HD genome-wide association study (GWAS; Ntotal = 501,825, 56% females) and GWAS data related to 3,935 brain imaging-derived phenotypes (IDPs) assessed in up to 33,224 individuals (52% females) using multiple magnetic resonance imaging modalities. To investigate HD pleiotropy with brain structure and function, we conducted genetic correlation, latent causal variable, Mendelian randomization, and multivariable generalized linear regression analyses. Additionally, we performed local genetic correlation and multi-trait colocalization analyses to identify genomic regions and loci implicated in the pleiotropic mechanisms shared between HD and brain IDPs. We observed a widespread genetic correlation of HD with 120 IDPs in females, 89 IDPs in males, and 171 IDPs in the sex-combined analysis. The latent causal variable analysis showed that some of these genetic correlations could be due to cause-effect relationships. For seven correlations, the causal effects were also confirmed by the Mendelian randomization approach: vessel volume→HD in the sex-combined analysis; hippocampus volume→HD, cerebellum grey matter volume→HD, primary visual cortex volume→HD, and HD→fluctuation amplitudes of node 46 in resting-state functional MRI dimensionality 100 in females; global mean thickness→HD and HD→mean orientation dispersion index in superior corona radiata in males. The local genetic correlation analysis identified 13 pleiotropic regions between HD and these seven IDPs. We also observed a colocalization signal for the rs13026575 variant between HD, primary visual cortex volume, and SPTBN1 transcriptomic regulation in females. Brain structure and function may have a role in the sex differences in HD predisposition via possible cause-effect relationships and shared regulatory mechanisms.

24-Hour Urinary Chemistries and Kidney Stone Risk.

RATIONALE & OBJECTIVE: Most previous studies of the relationship between urinary factors and kidney stone risk have either assumed a linear effect of urinary parameters on kidney stone risk or implemented arbitrary thresholds suggesting biologically implausible "all-or-nothing" effects. In addition, little is known about the hierarchy of effects of urinary factors on kidney stone risk. This study evaluated the independent associations between urine chemistries and kidney stone formation and examined their magnitude and shape. STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: We analyzed 9,045 24-hour urine collections from 6,217 participants of the Health Professionals Follow-Up Study and Nurses' Health Studies I and II. EXPOSURE: Urine volume and pH, and concentrations of calcium, citrate, oxalate, potassium, magnesium, uric acid, phosphorus, and sodium. OUTCOME: Incident symptomatic kidney stones. ANALYTICAL APPROACH: Multivariable logistic regression analysis incorporating restricted cubic splines to explore potentially nonlinear relationships between urinary factors and the risk of forming a kidney stone. Optimal inflection point analysis was implemented for each factor, and dominance analysis was performed to establish the relative importance of each urinary factor. RESULTS: Each urinary factor was significantly associated with stone formation except for urine pH. Higher urinary levels of calcium, oxalate, phosphorus, and sodium were associated with a higher risk of stone formation whereas higher urine volume, uric acid, citrate, potassium, and magnesium were associated with a lower risk. The relationships were substantially linear for urine calcium, uric acid, and sodium. By contrast, the magnitudes of the relationships were modestly attenuated at levels above the inflection points for urine oxalate, citrate, volume, phosphorus, potassium, and magnesium. Dominance analysis identified 3 categories of factors' relative importance: higher (calcium, volume, and citrate), intermediate (oxalate, potassium, and magnesium), and lower (uric acid, phosphorus, and sodium). LIMITATIONS: Predominantly White participants, lack of information on stone composition. CONCLUSIONS: Urine chemistries have complex relationships and differential relative associations with the risk of kidney stone formation. PLAIN-LANGUAGE SUMMARY: Kidney stones are common and likely to recur. Certain urinary factors play a role in the development of stones, but their independent roles, relative importance, and shapes of association with stone formation are not well-characterized. We analyzed 24-hour urine collections from individuals with and without kidney stones. Stones were less likely in those with higher urine volume, citrate, potassium, magnesium, and uric acid and were more likely in those with higher calcium, oxalate, phosphorus, and sodium. The acidity of the urine was not related to stones. The urinary parameters showed different degrees of relative importance, with calcium, volume, and citrate being greatest. All parameters exhibited a linear or close-to-linear shape of association with stone formation.

Risk of urolithiasis associated with allopurinol versus benzbromarone among patients with gout: a population-based cohort study.

OBJECTIVES: To compare the risk of urolithiasis in gout patients initiating allopurinol, a xanthine oxidase inhibitor, vs benzbromarone, a uricosuric. METHODS: Using the 2011-2020 Korea National Health Insurance Service database, we conducted a cohort study on gout patients initiating allopurinol vs benzbromarone as the 1st-line urate-lowering treatment (ULT). The primary outcome was a new onset urinary stone. The secondary outcome was a stone requiring intervention. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional hazard models with a 5:1 ratio propensity-score matching on > 80 variables. Subgroup analyses were done by age, sex, thiazide use, and cardiovascular (CV) risk. RESULTS: 61 300 allopurinol initiators PS-matched on 12 260 benzbromarone initiators were included (mean age 59 years, 79% male). During a mean follow-up of 322 days, 619 urolithiasis cases occurred with an incidence rate of 0.87 per 100 person-years in allopurinol and 1.39 in benzbromarone initiators, showing a HR of 0.64 (95% CI, 0.51-0.80). ∼44% of urinary stones required intervention with a HR of 0.61 (95% CI 0.43-0.88). The lower risk associated with allopurinol compared with benzbromarone persisted across subgroups but was greater in the high than non-high CV risk subgroup (p for interaction = 0.02). CONCLUSION: This population-based cohort study found that allopurinol compared with benzbromarone was associated with a substantially lower risk of urolithiasis particularly in the presence of the high CV risk. This finding provides important safety information for clinicians' decision-making on ULTs of different mechanisms of action.

Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss.

Age-related hearing loss has a complex etiology. Researchers have made efforts to classify relevant audiometric phenotypes, aiming to enhance medical interventions and improve hearing health. We leveraged existing pattern analyses of age-related hearing loss and implemented the phenotype classification via quadratic discriminant analysis (QDA). We herein propose a method for analyzing the exposure effects on the soft classification probabilities of the phenotypes via estimating equations. Under reasonable assumptions, the estimating equations are unbiased and lead to consistent estimators. The resulting estimator had good finite sample performances in simulation studies. As an illustrative example, we applied our proposed methods to assess the association between a dietary intake pattern, assessed as adherence scores for the dietary approaches to stop hypertension diet calculated using validated food-frequency questionnaires, and audiometric phenotypes (older-normal, metabolic, sensory, and metabolic plus sensory), determined based on data obtained in the Nurses' Health Study II Conservation of Hearing Study, the Audiology Assessment Arm. Our findings suggested that participants with a more healthful dietary pattern were less likely to develop the metabolic plus sensory phenotype of age-related hearing loss.

Hypothesis Tests for Continuous Audiometric Threshold Data.

OBJECTIVES: Hypothesis tests for hearing threshold data may be challenging due to the special structure of the response variable, which consists of the measurements from the participant's two ears at multiple frequencies. The commonly-used methods may have inflated type I error rates for the global test that examines whether exposure-hearing threshold associations exist in at least one of the frequencies. We propose using both-ear methods, including all frequencies in the same model for hypothesis testing. DESIGN: We compared the both-ear method to commonly used single-ear methods, such as the worse-ear, better-ear, left/right-ear, average-ear methods, and both-ear methods that evaluate individual audiometric frequencies in separate models, through both theoretical consideration and a simulation study. Differences between the methods were illustrated using hypothesis tests for the associations between the Dietary Approaches to Stop Hypertension adherence score and 3-year change in hearing thresholds among participants in the Conservation of Hearing Study. RESULTS: We found that (1) in the absence of ear-level confounders, the better-ear, worse-ear and left/right-ear methods have less power for frequency-specific tests and for the global test; (2) in the presence of ear-level confounders, the better-ear and worse-ear methods are invalid, and the left/right-ear and average-ear methods have less power, with the power loss in the left/right-ear much greater than the average-ear method, for frequency-specific tests and for the global test; and (3) the both-ear method with separate analyses for individual frequencies is invalid for the global test. CONCLUSIONS: For hypothesis testing to evaluate whether there are significant associations between an exposure of interest and audiometric hearing threshold measurements, the both-ear method that includes all frequencies in the same model is the recommended analytic approach.

Central Adiposity Increases Risk of Kidney Stone Disease through Effects on Serum Calcium Concentrations.

SIGNIFICANCE STATEMENT: Kidney stone disease is a common disorder with poorly understood pathophysiology. Observational and genetic studies indicate that adiposity is associated with an increased risk of kidney stone disease. However, the relative contribution of general and central adipose depots and the mechanisms by which effects of adiposity on kidney stone disease are mediated have not been defined. Using conventional and genetic epidemiological techniques, we demonstrate that general and central adiposity are independently associated with kidney stone disease. In addition, one mechanism by which central adiposity increases risk of kidney stone disease is by increasing serum calcium concentration. Therapies targeting adipose depots may affect calcium homeostasis and help to prevent kidney stone disease. BACKGROUND: Kidney stone disease affects approximately 10% of individuals in their lifetime and is frequently recurrent. The disease is linked to obesity, but the mechanisms mediating this association are uncertain. METHODS: Associations of adiposity and incident kidney stone disease were assessed in the UK Biobank over a mean of 11.6 years/person. Genome-wide association studies and Mendelian randomization (MR) analyses were undertaken in the UK Biobank, FinnGen, and in meta-analyzed cohorts to identify factors that affect kidney stone disease risk. RESULTS: Observational analyses on UK Biobank data demonstrated that increasing central and general adiposity is independently associated with incident kidney stone formation. Multivariable MR, using meta-analyzed UK Biobank and FinnGen data, established that risk of kidney stone disease increases by approximately 21% per one standard deviation increase in body mass index (BMI, a marker of general adiposity) independent of waist-to-hip ratio (WHR, a marker of central adiposity) and approximately 24% per one standard deviation increase of WHR independent of BMI. Genetic analyses indicate that higher WHR, but not higher BMI, increases risk of kidney stone disease by elevating adjusted serum calcium concentrations (ß=0.12 mmol/L); WHR mediates 12%-15% of its effect on kidney stone risk in this way. CONCLUSIONS: Our study indicates that visceral adipose depots elevate serum calcium concentrations, resulting in increased risk of kidney stone disease. These findings highlight the importance of weight loss in individuals with recurrent kidney stones and suggest that therapies targeting adipose depots may affect calcium homeostasis and contribute to prevention of kidney stone disease.

Association of Proton Pump Inhibitor Use With All-Cause and Cause-Specific Mortality.

BACKGROUND & AIMS: The use of proton pump inhibitors (PPIs) has increased rapidly in the past 2 decades. Concerns about the regular use of PPIs contributing to mortality have been raised. METHODS: We conducted a prospective cohort study using data collected from the Nurses' Health Study (2004-2018) and the Health Professionals Follow-up Study (2004-2018). Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% CIs for mortality according to PPI use. We used a modified lag-time approach to minimize reverse causation (ie, protopathic bias). RESULTS: Among 50,156 women and 21,731 men followed for 831,407 person-years and a median of 13.8 years, we documented 22,125 deaths, including 4592 deaths from cancer, 5404 from cardiovascular diseases, and 12,129 deaths from other causes. Compared with nonusers of PPIs, PPI users had significantly higher risks of all-cause mortality (HR, 1.19; 95% CI, 1.13-1.24) and mortality due to cancer (HR, 1.30; 95% CI, 1.17-1.44), cardiovascular diseases (HR, 1.13; 95% CI, 1.02-1.26), respiratory diseases (HR, 1.32; 95% CI, 1.12-1.56), and digestive diseases (HR, 1.50; 95% CI, 1.10-2.05). Upon applying lag times of up to 6 years, the associations were attenuated and no longer statistically significant (all-cause: HR, 1.04; 95% CI, 0.97-1.11; cancer: HR, 1.07; 95% CI, 0.89-1.28; cardiovascular diseases: HR, 0.94; 95% CI, 0.81-1.10; respiratory diseases: HR, 1.20; 95% CI, 0.95-1.50; digestive diseases: HR, 1.38; 95% CI, 0.88-2.18). Longer duration of PPI use did not confer higher risks for all-cause and cause-specific mortality. CONCLUSIONS: After accounting for protopathic bias, PPI use was not associated with higher risks of all-cause mortality and mortality due to major causes.

Factors associated with sex differences in the risk of kidney stones.

BACKGROUND: Men are at higher risk of developing stones compared with women; however, recent data suggest a changing epidemiology, with women being relatively more affected than before. METHODS: To estimate the proportion of excess risk among men, we analysed data from large cohorts (Health Professionals Follow-up Study and Nurses' Health Study I and II). Kidney stone incidence rates were computed and hazard ratios (HRs) and 95% confidence intervals (CIs) generated with age-adjusted Cox proportional regression models. Mediation analysis estimated the excess risk for men explained by risk factors, including waist circumference, high blood pressure, diabetes, use of thiazides and dietary intake. The 24-h urine composition was also examined. RESULTS: The analysis included 268 553 participants, contributing 5 872 249 person-years of follow-up. A total of 10 302 incident stones were confirmed and the overall incidence rate was 271 and 159 per 100 000 person-years for men and women, respectively. The age-adjusted HR was 2.32 (95% CI 2.20, 2.45) and the risk of stones was consistently higher across categories of age (HRs ranging from 2.02 to 2.76) for men compared with women. The risk remained higher among men, but tended to decrease over time (48.1%), while it increased among women. Urine supersaturations for calcium oxalate and uric acid were higher among men, primarily because of higher oxalate (26.3%), uric acid (16.3%), phosphate (23.5%) and lower pH. CONCLUSIONS: The risk of kidney stones is higher among men and this difference is only partly explained by lifestyle risk factors; differences in urine chemistries explain a substantial fraction of the excess risk.

24-hour urine oxalate and risk of chronic kidney disease.

BACKGROUND: To assess whether 24-hr urine oxalate (UOx) excretion is a risk factor for incident chronic kidney disease (CKD). METHODS: This longitudinal observational US-based study included 426,896 individuals age ≥ 18 years with no CKD at baseline and with at least one UOx and at least 6 months of baseline and 6 months of follow-up data. Of these, 11,239 (2.6%) had an underlying malabsorptive condition. Incident CKD, defined by relevant ICD codes, was identified from a multi-source data cloud containing individual-level healthcare claims and electronic medical records data. The association between categories of UOx and incident CKD was modeled using logistic regression adjusting for age, sex, race, BMI, baseline urine calcium, urine citrate, urine volume, tobacco use, hypertension, diabetes, malabsorption, and cardiovascular disease. RESULTS: Mean follow-up time was 38.9 months (SD 21.7). Compared with individuals with UOx <20 mg/24-hr, the odds of developing incident CKD increased for UOx 20-29 mg/24-hr (multivariate-adjusted (MV) OR: 1.14, 95% CI: 1.07, 1.21) through 80+ mg/24-hr (MVOR: 1.35 [1.21, 1.50] and was statistically significant for each UOx category. A similar pattern was seen in the subgroup with a malabsorptive condition though the magnitudes of association were larger, with the odds of developing incident CKD increased for UOx 20-29 mg/24-hr (MVOR: 1.50 [1.03, 2.20] through 80+ mg/24-hr (MVOR: 2.34 [1.50, 3.63] as compared with UOx <20 mg/24-hr. CONCLUSIONS: The risk of incident CKD increases with increasing 24-hr urine oxalate excretion. Future studies should examine whether reducing urine oxalate diminishes the risk of developing CKD.

Analytical method for detecting outlier evaluators.

BACKGROUND: Epidemiologic and medical studies often rely on evaluators to obtain measurements of exposures or outcomes for study participants, and valid estimates of associations depends on the quality of data. Even though statistical methods have been proposed to adjust for measurement errors, they often rely on unverifiable assumptions and could lead to biased estimates if those assumptions are violated. Therefore, methods for detecting potential 'outlier' evaluators are needed to improve data quality during data collection stage. METHODS: In this paper, we propose a two-stage algorithm to detect 'outlier' evaluators whose evaluation results tend to be higher or lower than their counterparts. In the first stage, evaluators' effects are obtained by fitting a regression model. In the second stage, hypothesis tests are performed to detect 'outlier' evaluators, where we consider both the power of each hypothesis test and the false discovery rate (FDR) among all tests. We conduct an extensive simulation study to evaluate the proposed method, and illustrate the method by detecting potential 'outlier' audiologists in the data collection stage for the Audiology Assessment Arm of the Conservation of Hearing Study, an epidemiologic study for examining risk factors of hearing loss in the Nurses' Health Study II. RESULTS: Our simulation study shows that our method not only can detect true 'outlier' evaluators, but also is less likely to falsely reject true 'normal' evaluators. CONCLUSIONS: Our two-stage 'outlier' detection algorithm is a flexible approach that can effectively detect 'outlier' evaluators, and thus data quality can be improved during data collection stage.

Development and Validation of a Risk Model for Predicting Contrast-Associated Acute Kidney Injury in Patients With Cancer: Evaluation in Over 46,000 CT Examinations.

BACKGROUND. Patients with cancer undergo frequent CT examinations with iodinated contrast media and may be uniquely predisposed to contrast-associated acute kidney injury (CA-AKI). OBJECTIVE. The purpose of this study was to develop and validate a model for predicting the risk of CA-AKI after contrast-enhanced CT in patients with cancer. METHODS. This retrospective study included 25,184 adult patients (12,153 men, 13,031 women; mean age, 62.3 ± 13.7 [SD] years) with cancer who underwent 46,593 contrast-enhanced CT examinations between January 1, 2016, and June 20, 2020, at one of three academic medical centers. Information was recorded regarding demographics, malignancy type, medication use, baseline laboratory values, and comorbid conditions. CA-AKI was defined as a 0.3-mg/dL or greater increase in serum creatinine level from baseline within 48 hours after CT or a 1.5-fold or greater increase in the peak measurement within 14 days after CT. Multivariable models accounting for correlated data were used to identify risk factors for CA-AKI. A risk score for predicting CA-AKI was generated in a development set (n = 30,926) and tested in a validation set (n = 15,667). RESULTS. CA-AKI occurred after 5.8% (2682/46,593) of CT examinations. The final multivariable model for predicting CA-AKI included hematologic malignancy, diuretic use, angiotensin-converting enzyme inhibitor or angiotensin receptor blocker use, chronic kidney disease (CKD) stage 3a, CKD stage 3b, CKD stage 4 or 5, serum albumin level less than 3.0 g/dL, platelet count less than 150 × 103/µL, 1+ or greater proteinuria on baseline urinalysis, diabetes mellitus, heart failure, and contrast medium volume 100 mL or greater. A risk score (range, 0-53 points) was generated with these variables. The most points (13) were for CKD stage 4 or 5 and for albumin level less than 3 g/dL. The frequency of CA-AKI progressively increased in higher risk categories. For example, in the validation set, CA-AKI occurred after 2.2% of CT examinations in the lowest risk category (score ≤ 4) and after 32.7% of CT examinations in the highest risk category (score ≥ 30). The Hosmer-Lemeshow test result indicated that the risk score was a good fit (p = .40). CONCLUSION. A risk model in which readily available clinical data are used to predict the likelihood of CA-AKI after contrast-enhanced CT in patients with cancer was developed and validated. CLINICAL IMPACT. The model may help facilitate appropriate implementation of preventive measures in the care of patients at high risk of CA-AKI.

Impact of adiposity on risk of female gout among those genetically predisposed: sex-specific prospective cohort study findings over >32 years.

OBJECTIVES: To evaluate the joint (combined) association of excess adiposity and genetic predisposition with the risk of incident female gout, and compare to their male counterparts; and determine the proportion attributable to body mass index (BMI) only, genetic risk score (GRS) only, and to their interaction. METHODS: We prospectively investigated potential gene-BMI interactions in 18 244 women from the Nurses' Health Study and compared with 10 888 men from the Health Professionals Follow-Up Study. GRS for hyperuricaemia was derived from 114 common urate-associated single nucleotide polymorphisms. RESULTS: Multivariable relative risk (RR) for female gout was 1.49 (95% CI 1.42 to 1.56) per 5 kg/m2 increment of BMI and 1.43 (1.35 to 1.52) per SD increment in the GRS. For their joint association of BMI and GRS, RR was 2.18 (2.03 to 2.36), more than the sum of each individual factor, indicating significant interaction on an additive scale (p for interaction <0.001). The attributable proportions of joint effect for female gout were 42% (37% to 46%) to adiposity, 37% (32% to 42%) to genetic predisposition and 22% (16% to 28%) to their interaction. Additive interaction among men was smaller although still significant (p interaction 0.002, p for heterogeneity 0.04 between women and men), and attributable proportion of joint effect was 14% (6% to 22%). CONCLUSIONS: While excess adiposity and genetic predisposition both are strongly associated with a higher risk of gout, the excess risk of both combined was higher than the sum of each, particularly among women.

Longitudinal Study of Analgesic Use and Risk of Incident Persistent Tinnitus.

BACKGROUND: Persistent tinnitus is common, disabling, and difficult to treat. High-dose aspirin may precipitate tinnitus, but longitudinal data on typical dose aspirin and other analgesics are scarce. OBJECTIVE: To investigate independent associations of aspirin, NSAIDs, and acetaminophen and risk of incident persistent tinnitus. DESIGN: Longitudinal cohort study. SETTING: Nurses' Health Study II (1995-2017). PARTICIPANTS: A total of 69,455 women, age 31-48 years, without tinnitus at baseline. MAIN MEASURES: Information on analgesic use and tinnitus obtained by biennial questionnaires. KEY RESULTS: After 1,120,936 person-years of follow-up, 10,452 cases of incident persistent tinnitus were reported. For low-dose aspirin, the risk of developing persistent tinnitus was not elevated among frequent low-dose aspirin users. For moderate dose aspirin, frequent use was associated with higher risk of tinnitus among women aged < 60 years, but not among older women (p-interactionage = 0.003). Compared with women aged < 60 using moderate-dose aspirin < 1 day/week, the multivariable-adjusted hazard ratio (MVHR, 95% CI) among women using moderate-dose aspirin 6-7 days per week was 1.16 (1.03, 1.32). Among all women, frequent non-aspirin non-steroidal anti-inflammatory drug (NSAID) or acetaminophen use was associated with higher risk. Compared with women using NSAIDs <1 day/week, the MVHR for use 4-5days/week was 1.17 (1.08, 1.28) and for 6-7days/week was 1.07 (1.00, 1.16) (p-trend=0.001). For acetaminophen, compared with use <1 day/week, the MVHR for use 6-7days/week was 1.18 (1.07, 1.29) (p-trend=0.002). LIMITATIONS: Information on tinnitus and analgesic use was self-reported. Information on indications for analgesic use was not available. Studies in non-White women and men are needed. CONCLUSION: The risk of developing persistent tinnitus was not elevated among frequent low-dose aspirin users. Among younger women, frequent moderate-dose aspirin use was associated with higher risk. Frequent NSAID use and frequent acetaminophen use were associated with higher risk of incident persistent tinnitus among all women, and the magnitude of the risks tended to be greater with increasing frequency of use. Our results suggest analgesic users are at higher risk for developing tinnitus and may provide insight into the precipitants of this challenging disorder, but additional investigation to determine whether there is a causal association is needed.

Estimating 24-hour urinary excretion using spot urine measurements in kidney stone formers.

BACKGROUND: One limitation of the use of 24-hour collection is impracticality. We analysed the performance of spot urine measurements to estimate 24-hour excretion in patients with kidney stones. METHODS: A total of 74 adult patients from two centres performed a 24-hour urine collection. A sample of the last micturition was sent for spot urine analysis. Twenty patients were asked to collect two additional spot urine samples, one before dinner and the other after dinner. Urinary concentrations of creatinine, calcium, oxalate, uric acid, citrate and magnesium were measured in the 24-hour and each of the spot urine samples. Four approaches were used to estimate 24-hour urinary excretion, multiplying the ratio of the spot urinary analyte to creatinine concentration by (i) measured 24-hour urinary creatinine excretion (Prediction 1), (ii) estimated 24-hour urinary creatinine excretion (Prediction 2), (iii) assumed 1-g 24-hour urinary creatinine excretion (Prediction 3) or (iv) assumed 1.5-g 24-hour urinary creatinine excretion (Prediction 4). For each parameter we computed Lin's concordance correlation coefficients (CCCs), Bland-Altman plots and 95% limits of agreement. RESULTS: The performance of estimates obtained with Prediction 1 and Prediction 2 was similar, except for citrate and uric acid, for which Prediction 2 performed worse. Both approaches performed moderately well: citrate CCC {0.82 [95% confidence interval (CI) 0.75-0.90]}, oxalate [0.66 (95% CI 0.55-0.78)], magnesium [0.66 (95% CI 0.54-0.77)], calcium [0.63 (95% CI 0.50-0.75)] and uric acid [0.52 (95% CI 0.36-0.68)]. The performance of Predictions 3 and 4 was worse. CONCLUSIONS: Although spot urine samples may hold promise for clinical and population-based research, at present they have limited utility in clinical practice. Measuring or estimating 24-hour creatinine, rather than assuming a given creatinine excretion, will be necessary in future studies of spot urine samples.

Analytical methods for correlated data arising from multicenter hearing studies.

In epidemiological hearing studies, estimating the association between exposures and hearing loss using audiometrically-assessed hearing measurements is challenging due to the complex correlation structure in the clustered data, with clusters formed by the two ears of the same individual and the testing site and audiologist. We propose a linear mixed-effects model to take into account the multilevel correlation structures of the data. Both theoretically and in simulation studies, we compare single-ear linear regression models commonly used in published hearing loss studies with the proposed both-ears linear mixed models properly accounting for the multi-level correlations. Our findings include (1) when there are only participant-level covariates, the worse-ear linear regression models produce unbiased but typically less efficient estimators than the both-ear and average-ear approaches; (2) when there are ear-level confounders, the worse-ear method may lead to biased estimators and the average-ear method produces unbiased but typically less efficient estimators than the both-ear method; (3) the both-ear method may gain efficiency when additionally adjusting for testing sites and audiologists. As an illustrative example, we applied the single-ear and both-ear methods to assess aspirin-hearing association in the Nurses' Health Study II.

Both-Ear Method for the Analysis of Audiometric Data.

OBJECTIVE: Single-ear hearing measurements, such as better-ear, worse-ear or left/right ear, are often used as outcomes in auditory research, yet, measurements in the two ears of the same individual are often strongly but not perfectly correlated. We propose a both-ear method using the Generalized Estimating Equation approach for analysis of correlated binary ear data to evaluate determinants of ear-specific outcomes that includes information from both ears of the same individual. DESIGN: We first theoretically evaluated bias in odds ratio (OR) estimates based on worse-ear and better-ear hearing outcomes. A simulation study was conducted to compare the finite sample performances of single-ear and both-ear methods in logistic regression models. As an illustrative example, the single-ear and both-ear methods were applied to estimate the association of Dietary Approaches to Stop Hypertension adherence scores with hearing threshold elevation among 3135 women, aged 48 to 68 years, in the Nurses' Health Study II. RESULTS: Based on statistical theories, the worse-ear and better-ear methods could bias the OR estimates. The simulation results led to the same conclusion. In addition, the simulation results showed that the both-ear method had satisfactory finite sample performance and was more efficient than the single-ear method. In the illustrative example, the confidence intervals of the estimated ORs for the association of Dietary Approaches to Stop Hypertension scores and hearing threshold elevation using the both-ear method were narrower, indicating greater precision, than for those obtained using the other methods. CONCLUSIONS: The worse-ear and better-ear methods may lead to biased estimates, and the left/right ear method typically results in less-efficient estimates. In certain settings, the both-ear method using the Generalized Estimating Equation approach for analyses of audiometric data may be preferable to the single-ear methods.

Analytical methods for evaluating reliability and validity of mobile audiometry tools.

Statistical approaches that could be used as standardized methodology for evaluating reliability and validity of data obtained using remote audiometry are proposed. Using data from the Nurses' Health Study II (n = 31), the approaches to evaluate the reliability and validity of hearing threshold measurements obtained by a self-administered iPhone-based hearing assessment application (Decibel Therapeutics, Inc., Boston, MA) compared with measurements obtained by clinical (soundbooth) audiometry are described. These approaches use mixed-effects models to account for multilevel correlations, intraclass correlation coefficients (ICCs) of single and averaged measurements, and regression techniques with the generalized estimating equations (GEEs) to account for between-ear correlations. Threshold measurements obtained using the iPhone application were moderately reliable. The reliability was improved substantially by averaging repeated measurements; good reliability was achieved by averaging three repeated measurements. In the linear regression analyses that assessed validity, the range of intercepts (2.3-8.4) and range of slopes (0.4-0.7) indicated that the measurements from the application were likely biased from those obtained by clinical audiometry. When evaluating alternative hearing assessment tools, it is recommended to assess reliability through mixed-effects models and use ICCs to determine the number of repeated assessments needed to achieve satisfactory reliability. When evaluating validity, GEE methods are recommended to estimate regression coefficients.

Mutations in HOGA1 do Not Confer a Dominant Phenotype Manifesting as Kidney Stone Disease.

PURPOSE: The etiology of calcium-oxalate kidney stone formation remains elusive. Biallelic mutations in HOGA1 are responsible for primary hyperoxaluria type 3 and result in oxalate overproduction and kidney stone disease. Our previous study showed that carriers of HOGA1 mutations have elevated urinary levels of oxalate precursors. In this study we explored the possibility that mutations in HOGA1 confer a dominant phenotype in the form of kidney stone disease or hyperoxaluria. MATERIALS AND METHODS: An observational analytic case control study was designed to determine the prevalence of pathogenic HOGA1 mutations among adults with calcium-oxalate kidney stone disease. Given the high prevalence of HOGA1 mutations among Ashkenazi Jews, this group was evaluated separately. Carrier frequency of any of the 52 reported pathogenic mutations was compared to data derived from gnomAD for the corresponding ethnic group. Sanger sequencing of HOGA1 gene was performed on DNA samples from the following groups: 60 Ashkenazi Jews and 86 nonAshkenazi calcium-oxalate stone formers, 150 subjects with low and 150 with high urinary oxalate levels. RESULTS: The carrier prevalence of pathogenic mutations among the Ashkenazi Jews was 1.7% compared to 2.8% in the corresponding control group (p=0.9 OR=0.6 95% CI 0.01-3.51). We did not detect any mutation among the nonAshkenazi study group. No correlation was detected between hyperoxaluria and HOGA1 variants. CONCLUSIONS: This study shows that mutations in HOGA1 do not confer a dominant phenotype in the form of calcium-oxalate kidney stone disease or hyperoxaluria.

Tinnitus and 3-Year Change in Audiometric Hearing Thresholds.

OBJECTIVES: Tinnitus and hearing loss commonly coexist, however, the temporal relation between tinnitus and hearing loss is complex and not fully understood. Our objective was to examine the longitudinal association between persistent tinnitus, bothersome tinnitus, and 3-year elevation of audiometric hearing thresholds. DESIGN: We conducted a longitudinal cohort study among 3106 women (mean age 59 years) who were participants in the Nurses' Health Study II (2012-2018). Information on tinnitus was obtained from biennial questionnaires. Longitudinal changes in air conduction thresholds (0.5 to 8 kHz) were assessed by pure-tone audiometry conducted by licensed audiologists at 19 audiology testing sites across the United States. Logistic regression was used to estimate multivariable-adjusted odds ratios (MVORs, 95% confidence interval [CI]) and evaluate the relations of persistent tinnitus (several days per week or more), bothersome tinnitus (interferes with work, sleep, or daily activities), and risk of 3-year elevation of hearing thresholds. RESULTS: Persistent tinnitus was associated with higher risk of 3-year elevation of hearing thresholds across a broad range of frequencies. Compared with women without tinnitus, the MVORs (95% CI) for ≥5-dB threshold elevation among women with persistent tinnitus were 1.01 (0.81, 1.25) at 0.5 kHz, 1.45 (1.17, 1.81) at 1 kHz, 1.25 (1.00, 1.56) at 2 kHz, 1.34 (1.07, 1.69) at 3 kHz, 1.34 (1.06, 1.70) at 4 kHz, 1.49 (1.16, 1.91) at 6 kHz, and 1.63 (1.25, 2.12) at 8 kHz. The magnitudes of the associations for ≥10-dB threshold elevation were similar. The magnitudes of the associations were substantially greater among women with bothersome tinnitus. For example, compared with women without tinnitus, the MVORs (95% CI) for a ≥5- and ≥10-dB elevation of hearing thresholds at 4 kHz were 2.97 (1.50, 5.89) and 2.79 (1.38, 5.65), respectively. The risk was elevated even among women with tinnitus who had clinically normal hearing thresholds at baseline. In analyses that examined the association of tinnitus and elevation of low-, mid- and high-frequency pure-tone average (PTA) hearing thresholds, the results were similar. Compared with women without tinnitus, the MVORs (95% CI) for ≥5-dB PTA elevation among women with persistent tinnitus were 1.29 (0.99,1.67) for LPTA(0.5,1,2 kHz); 1.44 (1.16, 1.78) for MPTA(3,4 kHz); and 1.38 (1.11, 1.71) for HPTA(6,8 kHz). For ≥10-dB elevation, the MVORs were 2.85 (1.55, 5.23), 1.52 (1.10, 2.09), and 1.41 (1.10, 1.82), respectively. CONCLUSION: Persistent tinnitus was associated with substantially higher risk of 3-year hearing threshold elevation, even among women with clinically normal baseline hearing. The magnitudes of the associations were greater among those with bothersome tinnitus. Monitoring hearing sensitivities may be indicated in patients with tinnitus, including those without audiometric evidence of hearing impairment.