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1.
Genet Med ; 23(3): 576-580, 2021 03.
Article in English | MEDLINE | ID: mdl-33060835

ABSTRACT

PURPOSE: Rare genetic conditions like Down syndrome (DS) are historically understudied. Infection is a leading cause of mortality in DS, along with cardiac anomalies. Currently, it is unknown how the COVID-19 pandemic affects individuals with DS. Herein, we report an analysis of individuals with DS who were hospitalized with COVID-19 in New York, New York, USA. METHODS: In this retrospective, dual-center study of 7246 patients hospitalized with COVID-19, we analyzed all patients with DS admitted in the Mount Sinai Health System and Columbia University Irving Medical Center. We assessed hospitalization rates, clinical characteristics, and outcomes. RESULTS: We identified 12 patients with DS. Hospitalized individuals with DS are on average ten years younger than patients without DS. Patients with DS have more severe disease than controls, particularly an increased incidence of sepsis and mechanical ventilation. CONCLUSION: We demonstrate that individuals with DS who are hospitalized with COVID-19 are younger than their non-DS counterparts, and that they have more severe disease than age-matched controls. We conclude that particular care should be considered for both the prevention and treatment of COVID-19 in these patients.


Subject(s)
COVID-19/pathology , Down Syndrome , Adult , Comorbidity , Down Syndrome/complications , Female , Hospitalization , Humans , Male , Middle Aged , New York/epidemiology , Pandemics , Retrospective Studies
2.
JAMA Netw Open ; 3(12): e2026946, 2020 12 01.
Article in English | MEDLINE | ID: mdl-33270122

ABSTRACT

Importance: Financial toxicity resulting from cancer care poses a substantial public health concern, leading some patients to turn to online crowdfunding. However, the practice may exacerbate existing socioeconomic cancer disparities by privileging those with access to interpersonal wealth and digital media literacy. Objective: To test the hypotheses that higher county-level socioeconomic status and the presence (vs absence) of text indicators of beneficiary worth in campaign descriptions are associated with amount raised from cancer crowdfunding. Design, Setting, and Participants: This cross-sectional analysis examined US cancer crowdfunding campaigns conducted between 2010 and 2019 and data from the American Community Survey (2013-2017). Data analysis was performed from December 2019 to March 2020. Exposures: Neighborhood deprivation index of campaign location and campaign text features indicating the beneficiary's worth. Main Outcomes and Measures: Amount of money raised. Results: This study analyzed 144 061 US cancer crowdfunding campaigns. Campaigns in counties with higher neighborhood deprivation raised less (-26.07%; 95% CI, -27.46% to -24.65%; P < .001) than those in counties with less neighborhood deprivation. Campaigns raised more funds when legitimizing details were provided, including clinical details about the cancer type (9.58%; 95% CI, 8.00% to 11.18%; P < .001) and treatment type (6.58%; 95% CI, 5.44% to 7.79%; P < .001) and financial details, such as insurance status (1.39%; 95% CI, 0.20% to 2.63%; P = .02) and out-of-pocket costs (7.36%; 95% CI, 6.18% to 8.55%; P < .001). Campaigns raised more money when beneficiaries were described as warm (13.80%; 95% CI, 12.30% to 15.26%; P < .001), brave (15.40%; 95% CI, 14.11% to 16.65%; P < .001), or self-reliant (5.23%; 95% CI, 3.77% to 6.72%; P < .001). Conclusions and Relevance: These findings suggest that cancer crowdfunding success ay disproportionately benefit those in high-socioeconomic status areas and those with the internet literacy necessary to portray beneficiaries as worthy. By rewarding those with existing socioeconomic advantage, cancer crowdfunding may perpetuate socioeconomic disparities in cancer care access. The findings also underscore the widespread nature of financial toxicity resulting from cancer care.


Subject(s)
Crowdsourcing/methods , Financing, Personal/methods , Healthcare Financing , Neoplasms/economics , Cross-Sectional Studies , Health Care Costs , Humans , Residence Characteristics , Socioeconomic Factors , Surveys and Questionnaires , United States
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