Smith, Carin Y.

Context.— Clinical testing for Wilson disease (WD) is potentially challenging. Measuring the fraction of labile bound copper (LBC) to total copper may be a promising alternative diagnostic tool with better sensitivity and specificity than some current biomarker approaches. A dual filtration–based inductively coupled mass spectrometry (ICP-MS) assay to measure LBC in serum was developed. Objective.— To establish a reference interval for LBC and LBC to total copper (LBC fraction) in a healthy adult population, and to examine associations between total copper, LBC, and LBC fraction with age, sex, menopausal status, hormone replacement therapy, and supplement use. Design.— Serum samples were collected from healthy male (n = 110) and female (n = 104) patients between the ages of 19 and 80 years. Total copper and LBC were analyzed using ICP-MS. Results were used to calculate the LBC fraction. Reference intervals were calculated for the 2.5th and 97.5th percentiles for both LBC and LBC fraction. Results.— The reference intervals for LBC were determined to be 13 to 105 ng/mL and 12 to 107 ng/mL for female and male patients, respectively. The reference intervals for the LBC fraction were 1.0% to 8.1% and 1.2% to 10.5% for female and male patients, respectively. No significant associations were found regarding age, menopausal status, hormone replacement therapy, or vitamin and supplement use. Conclusions.— Sex-specific reference intervals have now been established for LBC and LBC fraction. These data in conjunction with further testing of WD populations can be used to assess the sensitivity and specificity of LBC fraction in screening, monitoring, and diagnosis.

ImportanceThe association of premenopausal bilateral oophorectomy with parkinsonism and Parkinson disease (PD) remains controversial.ObjectiveTo assess whether women who underwent premenopausal bilateral oophorectomy were at increased risk of parkinsonism and PD and whether the associations varied by age at oophorectomy and by receipt of estrogen replacement therapy.Design, Setting, and ParticipantsThis cohort study used data from a combination of 2 independent cohort studies, the Mayo Clinic Cohort Study of Oophorectomy and Aging 1 and 2, which were based on the Rochester Epidemiology Project medical records–linkage system. A population-based sample of 5499 women from Olmsted County, Minnesota, were included; of those, 2750 women underwent bilateral oophorectomy for a benign indication before spontaneous menopause between January 1, 1950, and December 31, 2007 (oophorectomy cohort), and 2749 age-matched women who did not undergo bilateral oophorectomy were randomly sampled from the general population (reference cohort). Data were analyzed from March 1 to April 30, 2022. The date of oophorectomy was considered the index date for both groups.ExposuresMedical record documentation of bilateral oophorectomy abstracted from a medical records–linkage system (Rochester Epidemiology Project).Main Outcomes and MeasuresIncidence and risk of parkinsonism or PD, with diagnoses confirmed by in-person examination or medical record review.ResultsAmong 5499 participants (median [IQR] age, 45.0 [40.0-48.0] years; 5312 [96.6%] White), 2750 women (2679 White [97.4%]) underwent bilateral oophorectomy at a median age of 45.0 years (IQR, 40.0-48.0 years), and 2749 women (2633 White [95.8%]) with a median age of 45.0 years (IQR, 40.0-48.0 years) at the index date were included in the reference cohort. Bilateral oophorectomy was associated with an increased risk of parkinsonism overall (hazard ratio [HR], 1.59; 95% CI, 1.02-2.46) and in women younger than 43 years at oophorectomy (HR, 7.67; 95% CI, 1.77-33.27). There was a pattern of increasing risk with younger age at the time of oophorectomy using 4 age strata (≥50 years: HR, 1.43 [95% CI, 0.50-4.15]; 46-49 years: HR, 1.55 [95% CI, 0.79-3.07]; 40-45 years: HR, 1.36 [95% CI, 0.64-2.89]; <40 years: HR, 8.82 [95% CI, 1.08-72.00]; P = .02 for trend). The number needed to harm was 53 women overall and 27 women younger than 43 years at the time of oophorectomy. Bilateral oophorectomy was also associated with an increased risk of PD in women younger than 43 years at oophorectomy (HR, 5.00; 95% CI, 1.10-22.70), with a number needed to harm of 48 women. Among women who underwent oophorectomy at 45 years and younger, the risk was lower in women who received estrogen after the procedure and through age 50 years compared with women who did not. For parkinsonism, the HRs were 1.72 (95% CI, 0.54-5.53) vs 2.05 (95% CI, 0.80-5.23); for PD, the HRs were 1.53 (95% CI, 0.29-8.23) vs 2.75 (95% CI, 0.84-9.04). However, the differences were not significant.Conclusions and RelevanceIn this study, premenopausal women who underwent bilateral oophorectomy before age 43 years had an increased risk of parkinsonism and PD compared with women who did not undergo bilateral oophorectomy. These findings suggest that a reduction in the practice of prophylactic bilateral oophorectomy in premenopausal women at average risk of ovarian cancer may have substantial benefit for reducing the risk of parkinsonism and PD.

AbstractIntroductionEfforts to model the cost‐effectiveness of managing/modifying cognitive impairment lack reliable, objective, baseline medical, and nursing‐home (NH) costs.MethodsA stratified‐random sample of Olmsted County, MN, residents ages 70–89 years (N = 3545), well‐characterized as cognitively unimpaired, mild cognitive impairment (MCI), or dementia, were followed forward ≤1 year in provider‐linked billing data and the Centers for Medicare & Medicaid Services NH assessments. Direct medical/nursing home/medical + NH costs were estimated. Costs were stratified by vital status and NH‐use intensity (NH days/follow‐up days [0%, 1% to 24%, 25% to 99%, and 100%]). Between‐category mean‐annual cost differences were adjusted for patient characteristics and follow‐up days.ResultsCosts/follow‐up day distributions differed significantly across cognitive categories. Mean costs/follow‐up days were 2.5 to 18 times higher for decedents versus survivors. Among all persons with MCI, <9% with any NH use accounted for 18% of all total annual medical + NH costs. Adjusted‐between‐category comparisons revealed significantly higher medical and medical + NH costs for MCI versus cognitively unimpaired.DiscussionCost‐effectiveness for managing/modifying both MCI and dementia should consider end‐of‐life costs and NH‐use intensity. Results can help inform cost‐effectiveness models, predict future‐care needs, and aid decision‐making by individuals/providers/payers/policymakers.

The importance of coronary artery disease (CAD) surveillance, as recently underscored by the American Heart Association, is heightened by the obesity/diabetes epidemics. The need for surveillance is especially great for subclinical CAD, as the greatest increases in obesity/diabetes are occurring among younger age groups, where clinically-recognized CAD is infrequent. Yet few methods for such population-based surveillance exist. Using one such method, unbiased heart autopsy data, we previously showed that declines in grade of CAD observed since 1981 ended in the mid-1990s and may have reversed. In order to assess and interpret the factors underlying these observations, it is necessary to first examine trends in CAD risk factors among heart autopsied decedents and investigate the extent to which they mirror trends in the general population. Rochester Epidemiology Project (REP) medical records linkage resources were used to identify 1) all Olmsted County residents age 16-64 years who died from non-natural causes and went to autopsy 1981-2009 (96% autopsy rate) and 2) all Olmsted County residents age 16-64 years 1981-2009. We randomly selected two population subjects per decedent, stratified by calendar year. All REP inpatient/ ambulatory records were reviewed for CAD risk factors. Compared to population subjects, decedents were older and more likely to be male, smokers, alcohol abusers, and treated for hypertension; however, risk factor trends for both groups were generally of similar magnitude and direction, i.e., smoking, alcohol use, and blood pressure declined and anti-hypertensive medication use, diagnosed hyperlipidemia, and body mass index increased ( Table ). These population-based longitudinal data indicate that temporal trends in risk factors among autopsied decedents parallel those for the general population, supporting the concept that data on autopsied decedents can provide insight into trends in CAD risk and the changing burden of atherosclerosis within the source population. Characteristics of all 1) non-elderly adult Olmsted County residents who died non-natural deaths and were autopsied and 2) non-elderly adult Olmsted County residents with respect to CAD risk factors and calendar year trends CAD Risk Factor Autopsied Decedents (N=315) Population Subjects (N=672) P Value Autopsied Decedents, Temporal Trend Population Subjects, Temporal Trend N Calendar Year Estimate P value N Calendar Year Estimate P Value Age at Index, Mean (SD) 37.5 (14.0) 34.1 (13.6) <0.01 1 315 0.172 0.06 1 672 −0.059 0.33 1 Sex, % Male 236 (75%) 339 (50%) <0.01 2 315 0.008 0.60 2 672 −0.008 0.39 2 Race, % Non-White 29 (9%) 85 (13%) 0.14 3 305 0.054 0.04 3 589 0.023 0.12 3 Of Ever Smokers, Current = Yes 128/184 (70%) 118/210 (56%) 0.01 3 184 −0.040 0.048 3 210 −0.052 <0.01 3 Of Ever Alcohol Use, Current = Yes 175/238 (74%) 284/364 (78%) 0.08 3 238 −0.065 <0.01 3 364 −0.027 0.09 3 Mention of Alcoholism, Yes 80 (25%) 41 (6%) <0.01 3 315 0.014 0.35 3 672 0.042 0.04 3 Closest Systolic BP, Mean (SD) 124.1 (16.6) 120.3 (15.7) 0.34 3 285 −0.179 0.09 3 600 −0.156 0.02 3 Closest Diastolic BP, Mean (SD) 76.2 (11.6) 74.0 (10.5) 0.53 3 285 −0.194 0.01 3 600 −0.112 0.02 3 Closest BP on Medication, Yes 44 (14%) 36 (5%) <0.01 3 283 0.046 0.03 3 599 0.063 <0.01 3 Hyperlipidemia Diagnosis, Yes 32 (10%) 65 (10%) 0.32 3 315 0.114 <0.01 3 672 0.078 <0.01 3 Closest Fasting Glucose, Mean (SD) 95.8 (26.0) 95.0 (27.6) 0.63 3 177 0.270 0.23 3 335 0.505 <0.01 3 Closest BMI, Mean (SD) 26.1 (5.8) 25.9 (5.4) 0.52 3 280 0.080 0.04 3 593 0.091 <0.01 3 1 Unadjusted, Chi-square; 2 Unadjusted, Wilcoxon rank sum test; 3 Adjusted for age and sex, linear or logistic regression; BP = Blood Pressure; BMI = Body Mass Index