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Background People with human immunodeficiency virus (HIV) have been reported to have increased risk of clinical and subclinical cardiovascular disease. Existing studies have focused on men and often have been uncontrolled or lacked adequate HIV-negative comparators. Methods We performed echocardiography in the Women's Interagency HIV Study to investigate associations of HIV and HIV-specific factors with cardiac phenotypes, including left ventricular systolic dysfunction (LVSD), isolated LV diastolic dysfunction (LVDD), left atrial enlargement (LAE), LV hypertrophy (LVH), and increased tricuspid regurgitation velocity (TRV). Results Of 1654 participants (age 51 ± 9 years), 70% had HIV. Sixty-three (5.4%) women with HIV (WWH) had LVSD; 71 (6.5%) had isolated LVDD. Compared with women without HIV (WWOH), WWH had a near-significantly increased risk of LVSD (adjusted relative risk = 1.69; 95% confidence interval = 1.00 to 2.86; P =.051). No significant association was noted for HIV seropositivity with other phenotypes, but there was a risk gradient for decreasing CD4+ count among WWH that approached or reached significance for isolated LVDD, LAE, and LVH. WWH with CD4+ count <200 cells/mm3 had significantly higher prevalence of LAE, LVH, and high TRV than WWOH. There were no consistent associations for viral suppression or antiretroviral drug exposure. Conclusions This study suggests that WWH have a higher risk of LVSD compared with sociodemographically similar WWOH, but their risk for isolated LVDD, LAE, LVH, and high TRV is increased only with reduced CD4+ count. Although these findings warrant replication, they support the importance of cardiovascular risk-factor and HIV-disease control for heart disease prevention in this population. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic led to the national shutdown and subsequent reopening of cancer screening programs. Our diverse inner-city lung cancer screening program serves patients in the Bronx NY, which was severely affected by COVID-19, with the highest mortality in New York State in the spring of 2020. Staffing redeployment, quarantine protocols, increased safety measures, and changes in follow up resulted. The purpose of this study is to analyze the effect of the pandemic on lung cancer screening volumes during the first year of the pandemic. Retrospective cohort comprised of all patients enrolled in our Bronx, NY lung cancer screening program from March 2019 to March 2021 who underwent LDCT or appropriate follow-up imaging. The pre-pandemic and pandemic period were defined as 3/28/2019 to 3/21/2020 and 3/22/2020 to 3/17/2021, respectively, dichotomized by the New York State lockdown. 1218 exams were performed in the pre-pandemic period and 857 in the pandemic period, a 29.6% decrease. The percentage of exams performed on newly enrolled patients decreased from 32.7% to 13.8% (p < 0.001). Patients in the pre-pandemic period and pandemic period respectively had the following demographic breakdown: mean age 66.9 ± 5.9 vs 66.5 ± 6.0, women 51.9% vs 51.6%, White 20.7% vs 20.3%, Hispanic/Latino 42.0% vs 36.3%. There was no significant difference in Lung-RADS scores for pre-pandemic and pandemic exams (p > 0.05). In the pandemic period, exam volume followed an inverted parabolic pattern, reflecting Covid surges for the cohort and all demographic subgroups. The COVID-19 pandemic significantly decreased lung cancer screening volume and new enrollment in our urban inner-city program. Screening volumes demonstrated a parabolic curve reflecting pandemic surges following the initial wave, unlike other reports. The combination of the impact of COVID on our population and lack of staffing redundancy in the screening program, in the face of typical COVID isolation and quarantine absences, impeded early pandemic rebound of our lung cancer screening program. This highlights the necessity of fostering resilience by developing robust programmatic resources. • COVID-19 pandemic significantly decreased lung cancer screening volume and new enrollment in our urban inner-city program • Screening volumes demonstrated a parabolic curve reflecting pandemic surges following the initial wave, unlike other reports • Findings likely due to program resources and patient population highlighting the necessity of developing robust programmatic resources [ABSTRACT FROM AUTHOR]