Leg ulcers are indicators of systemic dysfunction in individuals with sickle cell disease.

Leg ulcers in individuals living with Sickle Cell Disease are evidence of systemic dysfunction. Data from a U.S. study link leg ulcers to wider pulse pressure and markers of chronic hemolysis, inflammation, renal, and liver dysfunction.

Examining the Association Between a Modified Quan-Charlson Comorbidity Index and HIV Viral Suppression: A Cross-Sectional Analysis of DC Cohort Participants.

With the advancement of effective antiretroviral therapy, people with HIV live longer, and many are developing non-AIDS comorbidities. It is important to assess how comorbidities are associated with HIV-related health outcomes, such as viral suppression (VS). The aim of this study was to analyze the association between comorbidity burden, measured using a modified Quan-Charlson Comorbidity Index (QCCI), and VS (viral load result of <200 copies/mL). We hypothesized that an increase in QCCI score, indicating a higher risk for mortality, would correlate with lower likelihood of VS because of the burden of comorbidity treatment, possibly leading to worse antiretroviral adherence. Our analysis included participants from the DC Cohort Longitudinal HIV Study in Washington, DC. Eligible participants were aged ≥18 years and enrolled in the cohort as of January 1, 2018 (n = 2,471). A modified QCCI score, which weighs selected comorbidities (not including HIV/AIDS) and predicts mortality, was calculated using International Classification of Disease-9/10 codes from electronic health records. Multivariable logistic regressions were used to characterize the association between QCCI composite scores and VS. Participants were predominantly virally suppressed (89.6%), male (73.9%), non-Hispanic Black (74.7%), and between 18 and 55 years (59.3%). The median QCCI score was 1 (range = 1-12, interquartile range = 0-2), demonstrating predominately low mortality risk. We did not establish a statistically significant association between QCCI score and VS (adjusted odds ratio = 1.06, 95% confidence interval 0.96-1.17). Our findings suggest that a higher QCCI score was not associated with lower VS in this population, which may be partly due to the high retention in care among cohort participants.

Examining resilience of individuals living with sickle cell disease in the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has impacted the physical and mental health of people worldwide including those living with genetic conditions. Sickle cell disease (SCD) is a hematologic chronic disease that causes multisystem damage and morbidity. Individuals living with SCD have had to continue managing their care for their chronic disease while following public health measures to protect against infection with COVID-19. Promoting resilience has been posited as being psychologically protective for those living with SCD. This study examines changes in resilience over time in a SCD population in the context of the COVID-19 pandemic. METHODS: Ninety-seven adults living with SCD completed two parent studies: (1) The INSIGHTS Study, a cross-sectional natural history study conducted from 2014-2019 and (2) The Living with SCD in COVID-19 Pandemic Study, an online survey conducted in 2020. Changes over time in resilience, perceived stress, emotional distress, and physical and mental health were analyzed in multivariable repeated measures model. RESULTS: Results showed that the psychological resilience of our study cohort had significantly decreased (0.19, p=0.01) over time. Resilience during the pandemic was associated with better mental health and physical health and lower perceived stress and emotional distress. In addition, results showed that marital status, education level, and employment were significantly associated with the psychological resilience of study participants. CONCLUSION: Resilience declined during the COVID-19 pandemic but was still associated with better physical and mental health outcomes. Future studies should investigate the relationship between resilience and sociodemographic factors.