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Li A, Yan J, Zhao Y, Yu Z, Tian S, Khan AH, Zhu Y, Wu A, Zhang C, Tian XL. Vascular Aging: Assessment and Intervention. Clin Interv Aging 2023; 18:1373-1395. [PMID: 37609042 PMCID: PMC10441648 DOI: 10.2147/cia.s423373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 08/06/2023] [Indexed: 08/24/2023] Open
Abstract
Vascular aging represents a collection of structural and functional changes in a blood vessel with advancing age, including increased stiffness, vascular wall remodeling, loss of angiogenic ability, and endothelium-dependent vasodilation dysfunction. These age-related alterations may occur earlier in those who are at risk for or have cardiovascular diseases, therefore, are defined as early or premature vascular aging. Vascular aging contributes independently to cardio-cerebral vascular diseases (CCVDs). Thus, early diagnosis and interventions targeting vascular aging are of paramount importance in the delay or prevention of CCVDs. Here, we review the direct assessment of vascular aging by examining parameters that reflect changes in structure, function, or their compliance with age including arterial wall thickness and lumen diameter, endothelium-dependent vasodilation, arterial stiffness as well as indirect assessment through pathological studies of biomarkers including endothelial progenitor cell, lymphocytic telomeres, advanced glycation end-products, and C-reactive protein. Further, we evaluate how different types of interventions including lifestyle mediation, such as caloric restriction and salt intake, and treatments for hypertension, diabetes, and hyperlipidemia affect age-related vascular changes. As a single parameter or intervention targets only a certain vascular physiological change, it is recommended to use multiple parameters to evaluate and design intervention approaches accordingly to prevent systemic vascular aging in clinical practices or population-based studies.
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Affiliation(s)
- Ao Li
- Queen Mary School, Nanchang University, Nanchang, Jiangxi, 330031, People’s Republic of China
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, Jiangxi, 330031, People’s Republic of China
| | - Jinhua Yan
- Department of Geriatrics, Institute of Gerontology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Ya Zhao
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, Jiangxi, 330031, People’s Republic of China
| | - Zhenping Yu
- Institute of Translational Medicine, School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, Jiangxi, 330031, People’s Republic of China
| | - Shane Tian
- Department of Biochemistry/Chemistry, Ohio State University, Columbus, OH, USA
| | - Abdul Haseeb Khan
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, Jiangxi, 330031, People’s Republic of China
| | - Yuanzheng Zhu
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, Jiangxi, 330031, People’s Republic of China
| | - Andong Wu
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, Jiangxi, 330031, People’s Republic of China
| | - Cuntai Zhang
- Department of Geriatrics, Institute of Gerontology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Xiao-Li Tian
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, Jiangxi, 330031, People’s Republic of China
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Nechyporenko A, Tedla YG, Korcarz C, Tattersall MC, Greenland P, Gepner AD. Association of statin therapy with progression of carotid arterial stiffness: the Multi-Ethnic Study of Atherosclerosis (MESA). Hypertens Res 2023; 46:679-687. [PMID: 36434289 DOI: 10.1038/s41440-022-01095-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/30/2022] [Accepted: 09/19/2022] [Indexed: 11/27/2022]
Abstract
Arterial stiffness progresses with age and is a predictor of adverse cardiovascular disease events. Studies examining associations of statin therapy with arterial stiffness have yielded mixed results. Associations between the duration and intensity of statin therapy and arterial stiffness have not been studied in a prospective multiethnic cohort. MESA participants (n = 1242) with statin medication use data at each exam (1-5) and who had undergone B-mode carotid ultrasound at baseline and at Exam 5 after (mean ± [SD]) 9.4 ± 0.5 years were analyzed. Carotid arterial stiffness was measured using the distensibility coefficient (DC) and Young's elastic modulus (YEM). Linear regression models were used to evaluate associations between DC and YEM and statin treatment duration and intensity. At baseline, participants were 66.5 ± 8.1 years old, 41% female, 36% White, 30% African American, 14% Chinese American, and 20% Hispanic. The mean baseline low-density lipoprotein cholesterol (LDL-C) was 149.5 ± 14.5 mg/dL. After adjusting for age, sex, race/ethnicity, and CVD risk factors, the percent changes in DC and YEM were found to not be significantly different in individuals on statin therapy at any combination of visits (1-4) compared to participants never on statin therapy (all p > 0.32). There were also no differences in the percent change in DC and YEM based on statin therapy intensity by quartile (all p > 0.14) over the 10-year follow-up period. Based on the aforementioned results, statin therapy was not associated with changes in carotid artery stiffness over nearly a decade of follow-up regardless of therapy duration or intensity.
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Affiliation(s)
- Anatoliy Nechyporenko
- Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.,Department of Medicine, University of Wisconsin, Madison, WI, USA
| | - Yacob G Tedla
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Claudia Korcarz
- Department of Medicine, University of Wisconsin, Madison, WI, USA
| | | | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Adam D Gepner
- Department of Medicine, University of Wisconsin, Madison, WI, USA. .,William S. Middleton VA Hospital, Madison, WI, USA.
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Pewowaruk R, Tedla Y, Korcarz C, Tattersall MC, Stein J, Chesler N, Gepner AD. Carotid Artery Stiffening With Aging: Structural Versus Load-Dependent Mechanisms in MESA (the Multi-Ethnic Study of Atherosclerosis). Hypertension 2022; 79:150-158. [PMID: 34775788 PMCID: PMC8665067 DOI: 10.1161/hypertensionaha.121.18444] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Elastic arteries stiffen via 2 main mechanisms: (1) load-dependent stiffening from higher blood pressure and (2) structural stiffening due to changes in the vessel wall. Differentiating these closely coupled mechanisms is important to understanding vascular aging. MESA (Multi-Ethnic Study of Atherosclerosis) participants with B-mode carotid ultrasound and brachial blood pressure at exam 1 and exam 5 (year 10) were included in this study (n=2604). Peterson and Young elastic moduli were calculated to represent total stiffness. Structural stiffness was calculated by adjusting Peterson and Young elastic moduli to a standard blood pressure of 120/80 mm Hg with participant-specific models. Load-dependent stiffness was the difference between total and structural stiffness. Changes in carotid artery stiffness mechanisms over 10 years were compared by age groups with ANCOVA models adjusted for baseline cardiovascular disease risk factors. The 75- to 84-year age group had the greatest change in total, structural, and load-dependent stiffening compared with younger groups (P<0.05). Only age and cessation of antihypertensive medication were predictive of structural stiffening, whereas age, race/ethnicity, education, blood pressure, cholesterol, and antihypertensive medication were predictive of increased load-dependent stiffening. On average, structural stiffening accounted for the vast majority of total stiffening, but 37% of participants had more load-dependent than structural stiffening. Rates of structural and load-dependent carotid artery stiffening increased with age. Structural stiffening was consistently observed, and load-dependent stiffening was highly variable. Heterogeneity in arterial stiffening mechanisms with aging may influence cardiovascular disease development.
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Affiliation(s)
- Ryan Pewowaruk
- University of Wisconsin School of Medicine and Public Health, Department of Medicine – Division of Cardiovascular Medicine, Madison, WI, USA
| | - Yacob Tedla
- Vanderbilt University, Department of Medicine – Division of Epidemiology, Nashville, TN, USA
| | - Claudia Korcarz
- University of Wisconsin School of Medicine and Public Health, Department of Medicine – Division of Cardiovascular Medicine, Madison, WI, USA
| | - Matthew C. Tattersall
- University of Wisconsin School of Medicine and Public Health, Department of Medicine – Division of Cardiovascular Medicine, Madison, WI, USA
| | - James Stein
- University of Wisconsin School of Medicine and Public Health, Department of Medicine – Division of Cardiovascular Medicine, Madison, WI, USA
| | - Naomi Chesler
- University of California – Irvine, Edwards Lifesciences Center for Advance Cardiovascular Technology, Irvine, CA, USA
| | - Adam D. Gepner
- University of Wisconsin School of Medicine and Public Health, Department of Medicine – Division of Cardiovascular Medicine, Madison, WI, USA,William S. Middleton Memorial Veteran’s Hospital, Department of Medicine – Division of Cardiovascular Medicine, Madison, WI, USA
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Vogt NM, Hunt JFV, Ma Y, Van Hulle CA, Adluru N, Chappell RJ, Lazar KK, Jacobson LE, Austin BP, Asthana S, Johnson SC, Bendlin BB, Carlsson CM. Effects of simvastatin on white matter integrity in healthy middle-aged adults. Ann Clin Transl Neurol 2021; 8:1656-1667. [PMID: 34275209 PMCID: PMC8351379 DOI: 10.1002/acn3.51421] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 11/29/2022] Open
Abstract
Background The brain is the most cholesterol‐rich organ and myelin contains 70% of total brain cholesterol. Statins are potent cholesterol‐lowing medications used by millions of adults for prevention of vascular disease, yet the effect of statins on cholesterol‐rich brain white matter (WM) is largely unknown. Methods We used longitudinal neuroimaging data acquired from 73 healthy, cognitively unimpaired, statin‐naïve, middle‐aged adults during an 18‐month randomized controlled trial of simvastatin 40 mg daily (n = 35) or matching placebo (n = 38). ANCOVA models (covariates: age, sex, APOE‐ɛ4) tested the effect of treatment group on percent change in WM, gray matter (GM), and WM hyperintensity (WMH) neuroimaging measures at each study visit. Mediation analysis tested the indirect effects of simvastatin on WM microstructure through change in serum total cholesterol levels. Results At 18 months, the simvastatin group showed a significant preservation in global WM fractional anisotropy (β = 0.88%, 95% CI 0.27 to 1.50, P = 0.005), radial diffusivity (β = −1.10%, 95% CI −2.13 to −0.06, P = 0.039), and WM volume (β = 0.72%, 95% CI 0.13 to 1.32, P = 0.018) relative to the placebo group. There was no significant effect of simvastatin on GM or WMH volume. Change in serum total cholesterol mediated approximately 30% of the effect of simvastatin on WM microstructure. Conclusions Simvastatin treatment in healthy, middle‐aged adults resulted in preserved WM microstructure and volume at 18 months. The partial mediation by serum cholesterol reduction suggests both peripheral and central mechanisms. Future studies are needed to determine whether these effects persist and translate to cognitive outcomes. Trial Registration NCT00939822 (ClinicalTrials.gov).
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Affiliation(s)
- Nicholas M Vogt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jack F V Hunt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Yue Ma
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Carol A Van Hulle
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Richard J Chappell
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Karen K Lazar
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Laura E Jacobson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Benjamin P Austin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Cynthia M Carlsson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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Ma Y, Norton DL, Van Hulle CA, Chappell RJ, Lazar KK, Jonaitis EM, Koscik RL, Clark LR, Krause R, Andreasson U, Chin NA, Bendlin BB, Asthana S, Okonkwo OC, Gleason CE, Johnson SC, Zetterberg H, Blennow K, Carlsson CM. Measurement batch differences and between-batch conversion of Alzheimer's disease cerebrospinal fluid biomarker values. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12194. [PMID: 34084888 PMCID: PMC8144935 DOI: 10.1002/dad2.12194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 04/06/2021] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Batch differences in cerebrospinal fluid (CSF) biomarker measurement can introduce bias into analyses for Alzheimer's disease studies. We evaluated and adjusted for batch differences using statistical methods. METHODS A total of 792 CSF samples from 528 participants were assayed in three batches for 12 biomarkers and 3 biomarker ratios. Batch differences were assessed using Bland-Altman plot, paired t test, Pitman-Morgan test, and linear regression. Generalized linear models were applied to convert CSF values between batches. RESULTS We found statistically significant batch differences for all biomarkers and ratios, except that neurofilament light was comparable between batches 1 and 2. The conversion models generally had high R 2 except for converting P-tau between batches 1 and 3. DISCUSSION Between-batch conversion allows harmonized CSF values to be used in the same analysis. Such method may be applied to adjust for other sources of variability in measuring CSF or other types of biomarkers.
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Beneficial Effect of Statin Therapy on Arterial Stiffness. BIOMED RESEARCH INTERNATIONAL 2021; 2021:5548310. [PMID: 33860033 PMCID: PMC8026295 DOI: 10.1155/2021/5548310] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/01/2021] [Accepted: 03/17/2021] [Indexed: 12/13/2022]
Abstract
Arterial stiffness describes the increased rigidity of the arterial wall that occurs as a consequence of biological aging and several diseases. Numerous studies have demonstrated that parameters to assess arterial stiffness, especially pulse-wave velocity, are predictive of those individuals that will suffer cardiovascular morbidity and mortality. Statin therapy may be a pharmacological strategy to improve arterial elasticity. It has been shown that the positive benefits of statin therapy on cardiovascular disease is attributable not only to their lipid-lowering capacity but also to various pleiotropic effects, such as their anti-inflammatory, antiproliferative, antioxidant, and antithrombotic properties. Additionally, statins reduce endothelial dysfunction, improve vascular and myocardial remodeling, and stabilize atherosclerotic plaque. The aim of the present review was to summarize the evidence from human studies showing the effects of statins on arterial stiffness.
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Abstract
Elevated cholesterol is a major risk factor in the development of cardiovascular disease. Statins have proven to be effective in lowering low-density lipoprotein cholesterol as well as the incidence of cardiovascular events. As a result, statins are widely prescribed in the United States, with an estimated 35 million patients on statins. Many of these patients are older than age 65 and suffer from various comorbidities, including mild to severe cognitive impairment. Early studies looking at the effects of statins on cognition have shown that statin use may lead to mild reversible cognitive decline, although long-term studies have shown inconclusive findings. In recent years, studies have shown that the use of statins in certain groups of patients may lead to a reduction in the rate of cognitive decline. One hypothesis for this finding is that statin use can reduce the risk of cerebrovascular disease which may, in turn, reduce the risk of mild cognitive decline and dementia. With numerous patients currently prescribed statins and the likelihood that more patients will be prescribed the medication in the coming years, it is important to review the current literature to determine the association between statin use and cognitive decline, as well as determine how statins may be beneficial in preventing cognitive decline.
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Affiliation(s)
- Bhawneet Chadha
- From the Department of Medicine, Tufts Medical Center, Boston, MA
| | - William H Frishman
- Department of Medicine, New York Medical College/Westchester Medical Center, Valhalla, NY
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Gepner AD, Lazar K, Hulle CV, Korcarz CE, Asthana S, Carlsson CM. Effects of Simvastatin on Augmentation Index Are Transient: Outcomes From a Randomized Controlled Trial. J Am Heart Assoc 2019; 8:e009792. [PMID: 31607205 PMCID: PMC6818042 DOI: 10.1161/jaha.118.009792] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Statins improve endothelial function, but their effects on arterial stiffness and aortic blood pressure in middle‐aged adults are uncertain. Methods and Results This was a prospective, randomized, double‐blind, placebo‐controlled trial of middle‐aged (40‐72 years old) adults who were randomly assigned to receive simvastatin 40 mg (n=44) or placebo (n=44) daily for 18 months to evaluate impact on dementia‐related biomarkers (primary end points) and measures of vascular health (secondary end points). This analysis focuses on the predetermined secondary end points of changes in central aortic blood pressure, aortic augmentation index, and brachial artery flow‐mediated dilation. Measurements were performed at baseline and after 6, 12, and 18 months. Multivariable models were used to identify predictors of these prespecified vascular end points. Study groups were similar at baseline; low‐density lipoprotein cholesterol declined in the statin group but not in the placebo group (P<0.01). There were no significant differences in changes in central blood pressure parameters or flow‐mediated dilation (all P>0.2). After 12 months, augmentation index decreased from baseline in the statin group compared with the placebo group (−2.3% [5.5%] versus 1.2% [5.7%], P=0.007), but by 18 months the response in both groups trend toward baseline (−1.1% [5.8%] versus 0.2% [4.8%], P=0.3). Low‐density lipoprotein cholesterol was not associated with changes in augmentation index at any time point. Conclusions Statin therapy led to a short‐term reduction in augmentation index after 12 months, but this effect did not persist after 18 months despite continued reduction in low‐density lipoprotein cholesterol levels. These findings suggest that statins may have a transient effect on aortic stiffness. Clinical Trial Registration URL: https://www.clinicaltrials.gov/. Unique identifier: NCT00939822.
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Affiliation(s)
- Adam D. Gepner
- William S. Middleton Memorial Veterans HospitalMadisonWI
- Department of MedicineSchool of Medicine and Public HealthUniversity of WisconsinMadisonWI
| | - Karen Lazar
- William S. Middleton Memorial Veterans HospitalMadisonWI
- Department of MedicineSchool of Medicine and Public HealthUniversity of WisconsinMadisonWI
| | - Carol Van Hulle
- William S. Middleton Memorial Veterans HospitalMadisonWI
- Department of MedicineSchool of Medicine and Public HealthUniversity of WisconsinMadisonWI
| | - Claudia E. Korcarz
- Department of MedicineSchool of Medicine and Public HealthUniversity of WisconsinMadisonWI
| | - Sanjay Asthana
- William S. Middleton Memorial Veterans HospitalMadisonWI
- Department of MedicineSchool of Medicine and Public HealthUniversity of WisconsinMadisonWI
| | - Cynthia M. Carlsson
- William S. Middleton Memorial Veterans HospitalMadisonWI
- Department of MedicineSchool of Medicine and Public HealthUniversity of WisconsinMadisonWI
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