Background: Whether African Americans (AA) are more susceptible to COPD than non-Hispanic Whites (NHW) and whether racial differences in disease phenotype exist is controversial. The objective is to determine racial differences in the extent of emphysema and airway remodeling in COPD.
Methods: First, 2,500 subjects enrolled in the COPDGene study were used to evaluate racial differences in quantitative CT (QCT) parameters of% emphysema, air trapping and airway wall thickness. Independent variables studied included race, age, gender, education, BMI, pack-years, smoking status, age at smoking initiation, asthma, previous work in dusty job, CT scanner and center of recruitment.
Results: Of the 1,063 subjects with GOLD Stage II-IV COPD, 200 self-reported as AA. AAs had a lower mean% emphysema (13.1% vs. 16.1%, p = 0.005) than NHW and proportionately less emphysema in the lower lung zones. After adjustment for covariates, there was no statistical difference by race in air trapping or airway wall thickness. Measured QCT parameters were more predictive of poor functional status in NHWs compared to AAs.
Conclusions: AAs have less emphysema than NHWs but the same degree of airway disease. Additional factors not easily assessed by current QCT techniques may account for the poor functional status in AAs.
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http://dx.doi.org/10.3109/15412555.2012.727921 | DOI Listing |
Am J Med Open
December 2024
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR.
Background: Studies examining racial and ethnic disparities in-hospital mortality for patients hospitalized with COVID-19 had mixed results. Findings from patients within academic medical centers (AMCs) are lacking, but important given the role of AMCs in improving health equity.
Objective: The purpose of this study is to assess whether minority patients hospitalized with COVID-19 in National COVID Cohort Collaborative (N3C) institutions, which consist predominantly of AMCs, have higher mortality rates relative to White patients.
Breast cancer is a significant health challenge worldwide, and disproportionately affects women of African ancestry (AA) who experience higher mortality rates relative to other racial/ethnic groups. Several studies have pointed to biological factors that affect breast cancer outcomes. A recently discovered stromal cell population that expresses P ROCR, Z EB1 and P DGFRα (PZP cells) was found to be enriched in normal healthy breast tissue from AA donors, and only in tumor adjacent tissues from donors of European ancestry (EA).
View Article and Find Full Text PDFLancet Reg Health Am
December 2024
Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
Background: Over the last decade, numerous efforts have been made to combat the opioid crisis globally. The impact of these strategies has not been adequately measured and may differ across populations depending on baseline risk. We compared changes in long-term prescription opioid use following surgery within a national US cohort, between 2017 and 2022.
View Article and Find Full Text PDFKnee Surg Relat Res
January 2025
Department of Orthopaedic Surgery, The Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD, 21287, USA.
Background: Racial/ethnic disparities in access to total knee arthroplasty (TKA) have been extensively demonstrated. Over the past several years, there has been a rapid increase in the utilization of robot-assisted TKA (RA-TKA). Therefore, this study sought to determine whether previously established racial/ethnic disparities extend to access to RA-TKA relative to conventional TKA.
View Article and Find Full Text PDFJ Urban Health
January 2025
Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Neighborhoods or residential environments have physical and social attributes which may contribute to inequalities in the overweight and obesity pandemic. We examined the longitudinal associations of baseline neighborhood-level income and racial residential segregation (using the Gi* statistic: low, medium, high) with changes in body mass index (BMI in kg/m), using geocoded data from 1821 civil servants in the municipality of Rio de Janeiro, Brazil, followed-up for approximately 13 years (baseline wave 1: 1999, wave 2: 2001-2002, wave 3: 2006-2007, wave 4: 2012-2013). Linear mixed effects models using BMI measured in all four study waves were performed, accounting for gender, race, length of residence, education and time-dependent age, and per capita family income.
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