
The COVID-19 pandemic had a greater negative effect on poorer communities, according to research presented at the American Roentgen Ray Society (ARRS) meeting in New Orleans.
A team led by Dr. Ali Farhat of Albert Einstein College of Medicine in New York reviewed charts from between March 2020 and June 2021 for 2,537 patients; of these, 9%, or 231, were diagnosed with COVID-19 infection via positive SARS-CoV-2 polymerase chain reaction (PCR) or positive antibody test. The team also tracked incidents of hospitalization and any COVID-19-related deaths.
The group found that 9% of patients reporting to Albert Einstein's lung cancer screening program developed COVID-19 during the first 16 months of the pandemic. Of these, almost a third were hospitalized; mortality rate was 6.9%, and was associated with multiple comorbidities, the team noted.
Of those who contracted COVID-19 infection, patients of color had higher percentages than their white counterparts, the group found. The team noted the following breakdown by ethnicity:
- Latinx: 45.5%
- Black: 20.3%
- White: 16%
- Other: 18.2%
"The COVID-19 pandemic disproportionately affected inhabitants of underserved communities," Farhat and colleagues concluded.












![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)








