Publications by authors named "Elizabeth A Regan"

Objective: Examine clinical and demographic variables associated with new onset depression and anxiety symptoms and assess moderation by sex in COPDGene, a cohort study of current and former smokers at risk for or with chronic obstructive pulmonary disease (COPD).

Methods: In the COPDGene study, 2653 adults had the hospital anxiety (HADS-A) and depression (HADS-D) scales available at phase 2 and 3, as well as clinical and demographic variables available at 2 and non-elevated HADS at phase 2. We defined new onset depression symptoms as HADS-D elevated at phase 3 (HADS-D ≥ 8) versus no new onset as HADS-D not elevated at either phase (HADS-D < 8).

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Importance: Identifying factors associated with resilience during the COVID-19 pandemic can inform targeted interventions and resource allocation for groups disproportionately affected by systemic inequities.

Objective: To examine factors associated with self-reported resilience during the COVID-19 pandemic in racially and ethnically diverse, community-dwelling US adults.

Design, Setting, And Participants: This cross-sectional study was conducted as part of the Collaborative Cohort of Cohorts for COVID-19 Research (C4R) study, which assessed the associations of the pandemic with self-reported resilience of participants from 14 established US prospective cohorts since January 2021.

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Rationale: Short-term exposure to fine particulates (PM) transiently increases the risk of respiratory exacerbations, but the contribution of chronic, long-term particulate exposure to respiratory exacerbations is poorly defined.

Objectives: To assess long-term effects of PM exposure on risk of severe respiratory exacerbations.

Methods: A longitudinal cohort of current and former smokers with and without COPD were surveyed every six months for severe exacerbation events.

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Article Synopsis
  • The study explores how a new COPD diagnostic approach that combines respiratory symptoms with imaging findings can identify more individuals at risk for the disease than current guidelines.
  • It utilizes data from two large longitudinal cohorts (COPDGene and CanCOLD) to assess participants over time, focusing on factors such as mortality and respiratory health outcomes.
  • The findings suggest that the new criteria, which consider structural lung changes via CT scans, could help detect COPD in patients who might otherwise go unrecognized.
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Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups.

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Despite the availability of effective vaccines and a recent decrease in annual deaths, COVID-19 remains a leading cause of death. Serological studies provide insights into host immunobiology of adaptive immune response to infection, which holds promise for identifying high-risk individuals for adverse COVID-19 outcomes. We investigated correlates of anti-nucleocapsid antibody responses following SARS-CoV-2 infection in a US population-based meta-cohort of adults participating in longstanding National Institutes of Health-funded cohort studies.

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Objective: Genome-wide association studies (GWAS) facilitate construction of polygenic risk scores (PRSs) for rheumatoid arthritis (RA) and idiopathic pulmonary fibrosis (IPF). We investigated associations of RA and IPF PRSs with RA and high-resolution chest computed tomography (HRCT) parenchymal lung abnormalities.

Methods: Participants in COPDGene, a prospective multicenter cohort of current/former smokers, had chest HRCT at study enrollment.

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Objective: Individuals with adrenal insufficiency (AI) are at risk of acute adrenal crisis and death, particularly during illness or trauma, and may require rapid treatment with parenteral glucocorticoid such as hydrocortisone to manage a crisis. Current guidelines recommend timely self-injection in an evolving crisis. Little is known about the patient experience with emergency injections.

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Background: Genome-wide association studies have identified several hundred susceptibility single nucleotide variants for coronary artery disease (CAD). Despite single nucleotide variant-based genome-wide association studies improving our understanding of the genetics of CAD, the contribution of structural variants (SVs) to the risk of CAD remains largely unclear.

Method And Results: We leveraged SVs detected from high-coverage whole genome sequencing data in a diverse group of participants from the National Heart Lung and Blood Institute's Trans-Omics for Precision Medicine program.

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Rationale: Robust COVID-19 outcomes classification is important for ongoing epidemiology research on acute and post-acute COVID-19 conditions. Protocolized medical record review is an established method to validate endpoints for clinical trials and cardiovascular epidemiology cohorts; however, a protocol to adjudicate hospitalizations for COVID-19 among epidemiology cohorts was lacking.

Objectives: We developed a protocol to ascertain and adjudicate hospitalized COVID-19 across a meta-cohort of 14 US prospective cohort studies.

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Article Synopsis
  • Whole genome sequencing (WGS) helps identify rare genetic variants that may explain the missing heritability of coronary artery disease (CAD) by analyzing 4,949 cases and 17,494 controls from the NHLBI TOPMed program.
  • The study estimates that the heritability of CAD is around 34.3%, with ultra-rare variants contributing about 50%, especially those with low linkage disequilibrium.
  • Functional annotations show significant enrichment of CAD heritability, highlighting the importance of ultra-rare variants and specific regulatory mechanisms in different cells as major factors influencing genetic risk for the disease.
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Coronary artery calcium (CAC) is a marker of subclinical atherosclerosis and is a complex heritable trait with both genetic and environmental risk factors, including sex and smoking. We performed genome-wide association (GWA) analyses for CAC among all participants and stratified by sex in the COPDGene study ( = 6144 participants of European ancestry and = 2589 participants of African ancestry) with replication in the Diabetes Heart Study (DHS). We adjusted for age, sex, current smoking status, BMI, diabetes, self-reported high blood pressure, self-reported high cholesterol, and genetic ancestry (as summarized by principal components computed within each racial group).

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Background: Forty to fifty percent of women and 13%-22% of men experience an osteoporosis-related fragility fracture in their lifetimes. After the age of 50 years, the risk of hip fracture doubles in every 10 years. x-Ray based DXA is currently clinically used to diagnose osteoporosis and predict fracture risk.

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Objective: To compare longitudinal changes in spirometric measures between patients with rheumatoid arthritis (RA) and non-RA comparators.

Methods: We analysed longitudinal data from two prospective cohorts: the UK Biobank and COPDGene. Spirometry was conducted at baseline and a second visit after 5-7 years.

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Importance: Persistent symptoms and disability following SARS-CoV-2 infection, known as post-COVID-19 condition or "long COVID," are frequently reported and pose a substantial personal and societal burden.

Objective: To determine time to recovery following SARS-CoV-2 infection and identify factors associated with recovery by 90 days.

Design, Setting, And Participants: For this prospective cohort study, standardized ascertainment of SARS-CoV-2 infection was conducted starting in April 1, 2020, across 14 ongoing National Institutes of Health-funded cohorts that have enrolled and followed participants since 1971.

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Background: Spinal degeneration and vertebral compression fractures are common among the elderly that adversely affect their mobility, quality of life, lung function, and mortality. Assessment of vertebral fractures in chronic obstructive pulmonary disease (COPD) is important due to the high prevalence of osteoporosis and associated vertebral fractures in COPD.

Purpose: We present new automated methods for (1) segmentation and labelling of individual vertebrae in chest computed tomography (CT) images using deep learning (DL), multi-parametric freeze-and-grow (FG) algorithm, and separation of apparently fused vertebrae using intensity autocorrelation and (2) vertebral deformity fracture detection using computed vertebral height features and parametric computational modelling of an established protocol outlined for trained human experts.

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Article Synopsis
  • The European Respiratory Society (ERS) and American Thoracic Society (ATS) recommend using race-neutral z-scores for interpreting spirometry, but the implementation and impact of these recommendations have not been widely studied.
  • In a study with over 10,000 participants, airflow obstruction was defined by a specific FEV/FVC ratio, and two methods for classification (GOLD vs. zGLI Global) were compared in terms of their effectiveness in determining COPD severity and outcomes.
  • The zGLI Global approach showed better discrimination for survival rates, exacerbations, and imaging characteristics compared to the GOLD classification, especially highlighting differences in milder disease stages where the agreement was lower.
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Body mass index (BMI) is associated with chronic obstructive pulmonary disease (COPD) mortality, but the underlying mechanisms are unclear. The effect of genetic variants aggregated into a polygenic score may elucidate the causal mechanisms and predict risk. To examine the associations of genetically predicted BMI with all-cause and cause-specific mortality in COPD.

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This study investigates correlates of anti-S1 antibody response following COVID-19 vaccination in a U.S. population-based meta-cohort of adults participating in longstanding NIH-funded cohort studies.

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Objectives: There have been limited investigations of the prevalence and mortality impact of quantitative CT (QCT) parenchymal lung features in RA. We examined the cross-sectional prevalence and mortality associations of QCT features, comparing RA and non-RA participants.

Methods: We identified participants with and without RA in COPDGene, a multicentre cohort study of current or former smokers.

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The consequences of returning infectious pathogen test results identified incidentally in research studies have not been well-studied. Concerns include identification of an important health issue for individuals, accuracy of research test results, public health impact, potential emotional distress for participants, and need for IRB permissions. Blood RNA-sequencing analysis for non-human RNA in 3984 participants from the COPDGene study identified 228 participants with evidence suggestive for hepatitis C virus (HCV) infection.

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Article Synopsis
  • The study aimed to explore how common interstitial lung abnormalities (ILAs) are in individuals with rheumatoid arthritis (RA) compared to those without, and how these conditions affect mortality.
  • Researchers analyzed data from a cohort of current and former smokers, using chest scans to identify and classify ILAs while considering the impact of various lifestyle factors and genetics.
  • Results showed that RA patients had a significantly higher prevalence of ILAs (16.9%) compared to non-RA individuals (5.0%), with RA patients who had ILAs experiencing a threefold increase in all-cause mortality, highlighting the need for better screening and management.
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Background: Prior studies have demonstrated improved efficacy when intra-articular (IA) therapeutics are injected using ultrasound (US) guidance. The aim of this study was to determine if clinical improvement in pain and function after IA hyaluronic acid injections using US is associated with changes in SF volumes and biomarker proteins at 3 months.

Methods: 49 subjects with symptomatic knee OA, BMI < 40, and KL radiographic grade II or III participated.

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Article Synopsis
  • Obesity poses a significant public health challenge and is linked to high mortality rates, with prior studies focusing mostly on European populations.
  • This research utilized whole-genome sequencing data from a diverse group of 88,873 individuals, finding 18 new signals associated with body mass index (BMI) and highlighting a novel SNP prevalent among people of African descent.
  • The study emphasizes the importance of diverse genetic data in identifying new obesity-related variants, moving us closer to personalized medical interventions for this crisis.
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The identification of early chronic obstructive pulmonary disease (COPD) is essential to appropriately counsel patients regarding smoking cessation, provide symptomatic treatment, and eventually develop disease-modifying treatments. Disease severity in COPD is defined using race-specific spirometry equations. These may disadvantage non-White individuals in diagnosis and care.

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