ABSTRACT
This edited volume examines the changes that arise from the entanglement of global interests and narratives with the local struggles that have always existed in the drylands of Africa, the Middle East, and Central Asia/Inner Asia. Changes in drylands are happening in an overwhelming manner. Climate change, growing political instability, and increasing enclosures of large expanses of often common land are some of the changes with far-reaching consequences for those who make their living in the drylands. At the same time, powerful narratives about the drylands as 'wastelands' and their 'backward' inhabitants continue to hold sway, legitimizing interventions for development, security, and conservation, informing re-emerging frontiers of investment (for agriculture, extraction, infrastructure), and shaping new dryland identities. The chapters in this volume discuss the politics of change triggered by forces as diverse as the global land and resource rush, the expansion of new Information and Communication Technologies, urbanization, the COVID-19 pandemic, and the spread of violent extremism. While recognizing that changes are co-produced by differently positioned actors from within and outside the drylands, this volume presents the dryland's point of view. It therefore takes the views, experiences, and agencies of dryland dwellers as the point of departure to not only understand the changes that are transforming their lives, livelihoods, and future aspirations, but also to highlight the unexpected spaces of contestation and innovation that have hitherto remained understudied. This edited volume will be of much interest to students, researchers, and scholars of natural resource management, land and resource grabbing, political ecology, sustainable development, and drylands in general. © 2023 selection and editorial matter, Angela Kronenburg García, Tobias Haller, Han van Dijk, Cyrus Samimi, and Jeroen Warner;individual chapters, the contributors. All rights reserved.
ABSTRACT
Background: Patients with SARS-CoV-2 with a diagnosis of cancer have increased risk of severe COVID-19 outcomes compared to patients without cancer. However, little is known regarding outcomes of patients with COVID-19 and cancer in the setting of human immunodeficiency virus (HIV). Given the unique risks of this population, we sought to understand COVID-19 outcomes using registry data. Methods: This is a descriptive research study utilizing the CCC19 registry, an international multi-institutional registry with healthcare provider-reported cases of patients with cancer and COVID-19. Between March 2020-December 2021, 116 persons with HIV (PWH) and 10,642 persons without HIV (PWOH) with laboratory-confirmed SARS-CoV-2 infection were identified as eligible for the analysis. Results: Median follow-up time for both groups was 90 days, with interquartile range (IQR) 30-180 days. Most PWH were actively receiving antiretroviral therapy (ART) at the time of COVID-19 diagnosis, with 71% (n = 82) having named drug information available;bictegravir/emtricitabine/tenofovir was the most common ART (n = 25). PWH were of younger age (median 57.5 yrs [IQR 46.5-63.25] vs 65 yrs [IQR 55-74]), male (81% vs 47%), and either non-Hispanic Black or Hispanic (71% vs 34%) compared to PWOH. 12% of PWH (n = 14) were current smokers compared to 6% of PWOH (n = 638), and more than half in each group were never smokers (51% of PWH and 53% of PWOH). The following comorbidities were identified in PWH vs PWOH: cardiovascular (16% vs 20%), pulmonary (16% vs 20%), renal (15% vs 14%), and diabetes mellitus (18% vs 27%). A higher proportion of PWH had hematologic malignancy compared to PWOH (33% vs 19%). More PWH had active cancer which was progressing at the time of SARS-CoV-2 infection compared to PWOH (24% vs 14%). 44% of PWH (n = 51) had received active systemic anticancer therapy within the 3 months preceding SARS-CoV-2 infection (including cytotoxic, targeted, endocrine therapies, and immunotherapy) compared to 51% of PWOH (n = 5,420). PWH had an increased rate of hospitalization (58% vs 55%) compared to PWOH. Although a lower proportion of PWH required supplemental oxygen during hospitalization compared to PWOH (34% vs 38%) and ICU admission rates were identical between the two groups (16% vs 16%), PWH had an increased rate of mechanical ventilation (14% vs 10%) and death (24% vs 18%) compared to PWOH. Conclusions: This is the first known study describing outcomes of patients with cancer and COVID-19 in the PWH population from a large multinational dataset. PWH have characteristics associated with adverse outcomes in prior analyses (male sex, non-Hispanic Black or Hispanic, hematologic malignancy, progressing cancer) but are notably younger and have fewer comorbidities. HIV infection may portend increased risk of severe COVID-19 and death;however, additional analyses, including multivariable regression, are warranted.
ABSTRACT
Background: Most patients with cancer and COVID-19 will survive the acute illness. The longer-term impacts of COVID-19 on patients with cancer remain incompletely described. Methods: Using COVID-19 and Cancer Consortium registry data thru 12/31/2021, we examined outcomes of long-term COVID-19 survivors with post-acute sequelae of SARS-CoV-2 infection (PASC aka “long COVID”). PASC was defined as having recovered w/ complications or having died w/ ongoing infection 90+ days from original diagnosis;absence of PASC was defined as having fully recovered by 90 days, with 90+ days of follow-up. Patients with SARS-CoV-2 re-infection and records with low quality data were excluded. Results: 858 of 3710 of included patients (23%) met PASC criteria. Median follow-up (IQR) for PASC and recovered patients was 180 (98-217) and 180 (90-180) days, respectively. The PASC group had a higher rate of baseline comorbidities and poor performance status (Table). Cancer types, status, and recent anticancer treatment were similar between the groups. The PASC group experienced a higher illness burden, with more hospitalized (83% vs 48%);requiring ICU (29% vs 6%);requiring mechanical ventilation (17% vs 2%);and experiencing co-infections (19% vs 8%). There were more deaths in the PASC vs recovered group (8% vs 3%), with median (IQR) days to death of 158 (120-272) and 180 (130-228), respectively. Of these, 9% were attributed to COVID-19;15% to both COVID-19 and cancer;15% to cancer;and 23% to other causes. Conversely, no deaths in the recovered group were attributed to COVID-19;57% were attributed to cancer;and 24% to other causes (proximal cause of death unknown/missing in 38% and 19%, respectively). Cancer treatment modification was more common in the recovered group (23% vs 18%). Conclusions: Patients with underlying comorbidities, worse ECOG PS, and more severe acute SARS-CoV-2 infection had higher rates of PASC. These patients suffered more severe complications and incurred worse outcomes. There was an appreciable rate of death in both PASC and non-PASC, with cancer the dominant but not only cause in fully recovered patients. Further study is needed to understand what factors drive PASC, and whether longer-term cancer-specific outcomes will be affected.
ABSTRACT
Background: Despite mitigation and treatment strategies, COVID-19 continues to negatively impact patients (pts) with cancer. Identifying factors that remain consistently associated with morbidity and mortality is critical for risk identification and care delivery. Methods: Using CCC19 registry data through 12/31/2021 we report clinical outcomes (30-day case fatality rate [CFR], mechanical ventilation use (MV), intensive care unit admission (ICU), and hospitalization) in adult pts with cancer and laboratory confirmed SARS-CoV-2, stratified by patient, cancer, and treatment-related factors. Results: In this cohort of 11,417 pts (with 4% reported vaccination prior to COVID-19), 55% required hospitalization, 15% ICU, 9% MV, and 12% died. Overall outcome rates remained similar for 2020 and 2021 (Table). Hydroxychloroquine was utilized in 11% and other anti-COVID-19 drugs (remdesivir, tocilizumab, convalescent plasma, and/or steroids) in 30%. Higher CFRs were observed in older age, males, Black race, smoking (14%), comorbidities (pulmonary [17%], diabetes mellitus [16%], cardiovascular [19%], renal [21%]), ECOG performance status 2+ (31%), co-infection (25%), especially fungal (35%), and initial presentation with severe COVID-19 (48%). Pts with hematologic malignancy, active/ progressing cancer status, or receiving systemic anti-cancer therapy within 1-3 months prior to COVID-19 also had worse CFRs. CFRs were similar across anti-cancer modalities. Other outcomes (ICU, MV, hospitalization) followed similar distributions by pt characteristics. Conclusions: Unfavorable outcome rates continue to remain high over 2 years, despite fewer case reports in 2021 owing to multiple factors (e.g., pandemic dynamics, respondent fatigue, overwhelmed healthcare systems). Pts with specific socio-demographics, performance status, comorbidities, type and status of cancer, immunosuppressive therapies, and COVID-19 severity at presentation experienced worse COVID-19 severity;and these factors should be further examined through multivariable modeling. Understanding epidemiological features, patient and cancer-related factors, and impact of anti-COVID-19 interventions can help inform risk stratification and interpretation of results from clinical trials.
ABSTRACT
Tolosa-Hunt syndrome (THS) is a rare, idiopathic, non-specific inflammation within the cavernous sinus and/or superior orbital fissure leading to painful ophthalmoplegia. The authors describe the first case of a 12-year-old otherwise healthy girl who presented with painful ophthalmoplegia after a documented COVID-19 infection. Neuroimaging revealed inflammation within the ipsilateral cavernous sinus, Meckel’s cave, and orbital apex. After a comprehensive work-up was negative, the patient experienced prompt clinical and radiographic improvement with high-dose corticosteroids, and a diagnosis of THS was made. © The Author(s) 2022.
ABSTRACT
Background : Patients (pts) with COVID-19 are reported to have increased risk of venous thromboembolism yet bleeding has been an under recognized complication. Rates of bleeding remain unexamined in all patients especially in pts with cancer and COVID-19. Aim: To estimate the incidence of bleeding complication in patients with cancer and COVID 19 Methods: The CCC19 international registry (NCT04354701) aims to investigate complications of COVID-19 in pts with cancer. Our aim was to investigate the frequency of bleeding in hospitalized adult pts with cancer andCOVID-19, enrolled between March 16, 2020 and Feb 8, 2021. The incidence of bleeding complications was captured as defined by CCC19 and included both major and non major bleeding. Associated baseline clinic-pathologic prognostic factors and outcomes such as need for mechanical ventilation, intensive care unit (ICU) admission and mortality rates were assessed Results :3849 pts met analysis inclusion criteria. Bleeding was reported in 276 (7%) pts with median age of 70years;incidence was 6.6 % in females and 7.6 % in males, 6.5% in non-Hispanic white pts, 8.2 % in non-Hispanic Black pts, and 7.8 % in Hispanic pts. 74% had solid cancer and 29% had hematologic malignancies, 33% had received anti-cancer therapy in preceding 30 days, and 8% had surgery within 4weeks. In pts taking antiplatelet or anticoagulant medications at baseline, 7.2% developed bleeding. Need for mechanical ventilation, ICU admission, 30-day mortality, and total mortality were significantly higher in those with bleeding complications compared to those without, p<0.05 Conclusion : We describe the incidence of bleeding in a large cohort of pts with cancer and COVID-19. Bleeding events were observed in those with adverse outcomes including mechanical ventilation, ICU admission, and high mortality;the overall mortality of 43% in patients with bleeding complications is especially notable. This important complication may reflect underlying COVID-19 pathophysiology as well as iatrogenic causes. [Formula presented] Disclosures: Kumar: Diagnostica Stago: Honoraria. Zon: AMAGMA AND RLZ: Consultancy, Current holder of individual stocks in a privately-held company. Byeff: Pfizer, BMS, Takeda,Teva, Merck, United health: Consultancy, Current equity holder in publicly-traded company, Current holder of stock options in a privately-held company. Nagaraj: Novartis: Research Funding. Hwang: astrazaneca,Merck,bayer, Genentech: Consultancy, Research Funding. McKay: Myovant: Consultancy;Bayer: Membership on an entity's Board of Directors or advisory committees;AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees;Exelixis: Consultancy, Membership on an entity's Board of Directors or advisory committees;Calithera: Membership on an entity's Board of Directors or advisory committees;Tempus: Research Funding;Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees;Tempus: Membership on an entity's Board of Directors or advisory committees;Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding;Janssen: Membership on an entity's Board of Directors or advisory committees;Bristol Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees;Sanofi: Membership on an entity's Board of Directors or advisory committees;Novartis: Membership on an entity's Board of Directors or advisory committees;Dendreon: Consultancy;Caris: Other: Serves as a molecular tumor board;Vividion: Consultancy;Sorrento Therapeutics: Consultancy;Bayer: Research Funding. Warner: Westat, Hemonc.org: Consultancy, Current holder of stock options in a privately-held company. Connors: Pfizer: Honoraria;CSL Behring: Research Funding;Alnylam: Consultancy;Bristol-Myers Squibb: Honoraria;takeda: Honoraria;Abbott: Consultancy. Rosovsky: Janssen: Consultancy, Research Funding;BMS: Consultancy, Research Funding;Inari: Consultancy, Membership on an entity's Board of Directors or advisory committees;Do a: Consultancy, Membership on an entity's Board of Directors or advisory committees.
ABSTRACT
This article analyses the concept of legitimacy as applied to the use of power in statutory social work with children and families in the UK. It draws on literature from police studies and criminology, in which the concept is a stable one that continues to be heavily researched and analysed. Police and social workers bear comparison in respect of legitimacy because of the significant powers they use on behalf of the state with direct implications for the civil and human rights of their fellow citizens. The article defines legitimacy in theoretical terms before applying the concept to social work. Here, perceptions of fairness in the distribution of resources, the quality of treatment people receive, and the quality of decision-making are critically examined. The article then proposes a democratising agenda across the three domains of social work research, policy, and practice. Through challenging social work's legitimacy and analysing its relationship to social democracy, it is argued that new ways may be found to realign practice with the values of human rights and social justice that are said to underpin the profession. Given the severe socioeconomic impact of the Covid-19 pandemic on many families, these questions acquire a particular urgency.
ABSTRACT
BACKGROUND: Vaccination is an important preventive health measure to protect against symptomatic and severe COVID-19. Impaired immunity secondary to an underlying malignancy or recent receipt of antineoplastic systemic therapies can result in less robust antibody titers following vaccination and possible risk of breakthrough infection. As clinical trials evaluating COVID-19 vaccines largely excluded patients with a history of cancer and those on active immunosuppression (including chemotherapy), limited evidence is available to inform the clinical efficacy of COVID-19 vaccination across the spectrum of patients with cancer. PATIENTS AND METHODS: We describe the clinical features of patients with cancer who developed symptomatic COVID-19 following vaccination and compare weighted outcomes with those of contemporary unvaccinated patients, after adjustment for confounders, using data from the multi-institutional COVID-19 and Cancer Consortium (CCC19). RESULTS: Patients with cancer who develop COVID-19 following vaccination have substantial comorbidities and can present with severe and even lethal infection. Patients harboring hematologic malignancies are over-represented among vaccinated patients with cancer who develop symptomatic COVID-19. CONCLUSIONS: Vaccination against COVID-19 remains an essential strategy in protecting vulnerable populations, including patients with cancer. Patients with cancer who develop breakthrough infection despite full vaccination, however, remain at risk of severe outcomes. A multilayered public health mitigation approach that includes vaccination of close contacts, boosters, social distancing, and mask-wearing should be continued for the foreseeable future.
Subject(s)
COVID-19 , Neoplasms , COVID-19 Vaccines , Humans , Neoplasms/complications , SARS-CoV-2 , VaccinationABSTRACT
Background: The symptoms of the COVID-19 acute phase are well studied, but the long-term sequelae (post-COVID condition) are still poorly characterised. The aim of this study was to evaluate the prevalence of persistent symptoms in previously hospitalised adult patients with COVID-19 and assess risk factors for the post-COVID condition Method: Ambidirectional cohort study of patients over 18 years hospitalised to Sechenov University Hospital Network, Moscow, Russia with clinically diagnosed or laboratory-confirmed COVID-19 between April 8 and July 10, 2020. Study participants were interviewed 6-8 months after discharge via telephone using a follow-up case report form (CRF) developed by ISARIC in collaboration with WHO. Identified symptoms were categorised according to organ systems. Risk factors were assessed by multivariate logistic regression. Results: Among 4,755 patients discharged from the hospitals, 2,649 were subsequently interviewed. The median age of patients was 56 years (46-66), and 1,353 patients (51.1%) were female. The follow-up median time was 217.5 days (200.4-235.5). 1,247 (47.1%) participants reported persistent symptoms (since discharge). The most frequent symptoms were fatigue (21.2%, 551/2599), shortness of breath (14.5%, 378/2614) and forgetfulness (9.1%, 237/2597). Female gender was associated with chronic fatigue with an odds ratio of 1.67 (95% confidence interval 1.39-2.02), neurological 2.03 (1.60-2.58), mental 1.83 (1.41-2.40), respiratory 1.31 (1.06-1.62) and dermatological symptoms 3.26 (2.36-4.57), GI disturbances 2.50 (1.64-3.89) and sensory problems 1.73 (2.06-2.89). Pre-existing asthma was associated with a higher risk of neurological 1.95 (1.25-2.98) and mood and behavioural changes 2.02 (1.24-3.18). Conclusion: Six to eight months after COVID-19 nearly half of patients have symptoms lasting since discharge. The main risk factor for the majority of the development of long-term symptoms was female sex. Asthma may also serve as a risk factor for the post-COVID condition. Further follow-up of patients reporting the persistence of COVID-19 symptoms and the development of interventional approaches for the prevention of post-COVID manifestations are needed.
ABSTRACT
Background: SARS-CoV-2 is associated with diverse clinical presentations ranging from asymptomatic infection to lethal complications. Small studies have suggested inferior outcomes in patients (pts) on active cancer treatment. This finding was not independently validated in our prior report on 928 pts, which included treatments administered within 4 weeks of COVID-19 diagnosis. Here, we examine outcomes related to systemic cancer treatment within one year of lab-confirmed SARS-CoV-2 infection in an expanded cohort. Method(s): The COVID-19 and Cancer Consortium (CCC19) registry (NCT04354701) was queried for pts ever receiving systemic treatment. Treatment type, cancer type, stage, and COVID-19 outcomes were examined. Pts were stratified by time from last treatment administration: <2 wk, 2-4 wk, 1-3 mo, or 3-12 mo. Standardized incidence ratios (SIR) of mortality by treatment type and timing were calculated. Result(s): As of 31 July 2020, we analyzed 3920 pts;42% received systemic anti-cancer treatment within 12 mo (Table). 159 distinct medications were administered. The highest rate of COVID-19-associated complications were observed in pts treated within 1-3 months prior to COVID-19;all-cause mortality in this group was 26%. 30-day mortality by most recent treatment type was 20% for chemotherapy, 18% for immunotherapy, 17% for chemoradiotherapy, 29% for chemoimmunotherapy, 20% for targeted therapy, and 11% for endocrine therapy. SIR of mortality was highest for chemoimmunotherapy or chemotherapy <2 wks, and lowest for endocrine treatments. A high SIR was also found for targeted agents within 3-12 mo. Pts untreated in the year prior to COVID-19 diagnosis had a mortality of 14%. [Formula presented] Conclusion(s): 30-day mortality was highest amongst cancer pts treated 1-3 months prior to COVID-19 diagnosis and those treated with chemoimmunotherapy. Except for endocrine therapy, mortality for subgroups was numerically higher than in pts untreated within a year prior to COVID-19 diagnosis. Clinical trial identification: NCT04354701. Legal entity responsible for the study: The COVID-19 and Cancer Consortium (CCC19). Funding(s): National Cancer Institute (P30 CA068485). Disclosure: T.M. Wise-Draper: Research grant/Funding (self), Travel/Accommodation/Expenses: AstraZeneca;Research grant/Funding (self): BMS;Research grant/Funding (self): Tesaro/GSK;Advisory/Consultancy: Shattuck Labs;Leadership role, Travel/Accommodation/Expenses, HNC POA Lead: Caris Life Sciences;Research grant/Funding (self), Travel/Accommodation/Expenses: Merck;Travel/Accommodation/Expenses: Eli Lilly;Travel/Accommodation/Expenses: Bexion. A. Elkrief: Research grant/Funding (self): AstraZeneca. B.I. Rini: Advisory/Consultancy, Research grant/Funding (self), Travel/Accommodation/Expenses: Merck;Advisory/Consultancy, Research grant/Funding (self): Roche;Advisory/Consultancy, Research grant/Funding (self), Travel/Accommodation/Expenses: Pfizer;Advisory/Consultancy, Research grant/Funding (self): AVEO;Advisory/Consultancy, Research grant/Funding (self), Travel/Accommodation/Expenses: BMS;Advisory/Consultancy: arravive;Advisory/Consultancy: 3D medicines;Advisory/Consultancy: Synthorx;Advisory/Consultancy: Surface Oncology;Shareholder/Stockholder/Stock options: PTC Therapeutics;Research grant/Funding (self): AstraZeneca. D.B. Johnson: Advisory/Consultancy: Array Biopharma;Advisory/Consultancy, Research grant/Funding (self): BMS;Advisory/Consultancy: Janssen;Advisory/Consultancy: Merck;Advisory/Consultancy: Novartis;Research grant/Funding (self): Incyte;Leadership role: ASCO melanoma scientific committee chair;Leadership role: NCCN Melanoma committee. G. Lopes: Honoraria (self), Travel/Accommodation/Expenses: Boehringer Ingelheim;Advisory/Consultancy, Research grant/Funding (institution), Travel/Accommodation/Expenses: Pfizer;Advisory/Consultancy, Research grant/Funding (self), Research grant/Funding (institution): AstraZeneca;Research grant/Funding (institution): Merck;Research grant/Funding (institution): EMD Serono;Research gr
ABSTRACT
Background: Patients (pts) with cancer are at increased risk of SARS-CoV-2 infection and severe COVID-19 disease. Longitudinal followup is needed to characterize the severity, sequelae and outcomes in pts with cancer who develop COVID-19. Methods: NCCAPS is a prospective, longitudinal study (NCT04387656) aiming to accrue 2,000 pts with cancer undergoing active treatment or prior stem cell transplant for hematologic or solid tumor malignancy. Adult patients are eligible to enroll within 14 days of their first positive SARS-CoV-2 test;pediatric patients may also enroll retrospectively. Clinical data, patient-reported outcomes, blood specimens, and imaging are collected for up to 2 years. This abstract provides initial baseline and 2-month follow-up data. Results: As of Jan 22, 2021, 585 pts (552 adults and 33 pediatric pts) had complete baseline data and of these pts, 215 adults had 2 months of complete follow-up data. 23.4% of adults and 42.4% of pediatric pts were of nonWhite race and/or Hispanic/Latinx ethnicity. The most common cancer diagnoses were breast (19.6%), lung (9.9%) and multiple myeloma (8.9%) in adults and acute leukemia (AML/ALL;63.6%) in children. The most recent treatment was chemotherapy in 38.2%, immunotherapy in 9.6%, and radiation in 5.4%. Median time from positive SARS-CoV-2 test to study enrollment was 10.5 days in adults and 18 days in pediatric pts. Preliminary analysis of plasma cytokines will be presented. At enrollment, 84.6% of adults had COVID-19 symptoms. 55.9% reported symptoms 2 weeks after their positive SARSCoV-2 test;this fell to 39.0% at 1 month and 28.8% at 2 months (see Table). Of the 215 adults with complete data at 2 months, sequelae included pulmonary (n=22, 10%), cardiovascular (n=12, 6%) thromboembolic (n=9, 4%), bleeding (n=9, 4%) and gastrointestinal (n=11, 5%). 144 (67%) reported at least one cancer treatment disruption in the first 2 months, most commonly delayed therapy (n=98;46%).Of the 348 adults with baseline data and SARS-CoV-2 test date prior to Nov 23, 2020, 6.3% had died (median time from SARS-CoV-2 test to death: 27 days), and 22.1% reported at least one hospitalization for COVID-19. No deaths were reported in the pediatric population. Conclusion: Cancer pts with COVID-19 report ongoing symptoms after acute infection and a substantial number develop sequelae. Cancer treatment disruptions are common in the initial months following SARS-CoV-2 infection. Longer follow-up will inform whether these treatment disruptions are associated with adverse outcomes. (Table Presented).
ABSTRACT
Background: Immunodeficiency in patients (pts) with cancer can lead to the progression of common respiratory viral infections to lower respiratory tract disease (LRTD) with potentially high mortality. Understanding risk factors of SARS-CoV-2 related LRTD in pts with cancer is imperative for the development of preventive measures. Methods: We examined all patients aged 18 years or older with cancer and laboratory-confirmed SARS-CoV-2 infection reported between March 16, 2020 and February 6, 2021 in the international CCC19 registry. We examined frequency of LRTD (pneumonia, pneumonitis, acute respiratory distress syndrome, or respiratory failure), demographic and clinicopathologic factors associated with LRTD, and 30-day and overall mortality in pts with and without LRTD. Results: Of 7,289 pts with a median follow-up time of 42 (21-90) days, 2187 (30%) developed LRTD. Pts of older age (65 yrs or older), male sex, pre-existing comorbidities, baseline immunosuppressants, baseline corticosteroids, and ECOG performance status of 2 or more had substantially higher rates of LRTD compared to those without these risk factors (Table). We did not observe differences in LRTD rates between pts of different racial/ethnic groups, smoking history, hypertension, obesity, cancer status, timing or type of anti-cancer therapy. LRTD was more likely in pts with thoracic malignancy (39%), hematological malignancy (39%) compared to those with other solid tumors (27%). The majority of pts (86%) had symptomatic presentation;however, 8% of pts with asymptomatic presentation developed LRTD. 30-day and overall mortality rates were significantly higher in pts with LRTD than those without LRTD (31% vs. 4% and 38% vs. 6%, P < 0.05). Conclusions: COVID-19 related LRTD rate is high and associated with worse mortality rates in pts with cancer. The majority of risk factors associated with LRTD demonstrate underlying immunodeficiency or lung structural damage as a driving force in this population. Identifying pts at high-risk for developing LRTD can help guide clinical management, improve pt outcomes, increase the cost-effectiveness of antiviral therapy, and direct future clinical trial designs for vaccine or antiviral agents. (Table Presented).
ABSTRACT
Background: Racial/ethnic minorities have disproportionately increased risk of contracting COVID-19 and experiencing severe illness;they also have worse breast cancer (BC) outcomes. COVID-19 outcomes among racial/ethnic minorities with BC are currently unknown. We sought to compare clinicopathologic characteristics and COVID-19 outcomes stratified by race/ethnicity. Methods: The COVID-19 and Cancer Consortium registry (NCT04354701) was used to identify patients with invasive BC and laboratory-confirmed SARS-CoV-2 diagnosed in the U.S. between 2020-03-06 and 2021-02-04. The primary analysis was restricted to women who selfidentified as non-Hispanic White (NHW), nonHispanic Black (NHB), or Hispanic (H). Demographic, cancer characteristics, and COVID-19 outcomes were evaluated. COVID-19 outcomes included: hospital admission, intensive care unit (ICU) admission, mechanical ventilation, death within 30 days of COVID-19 diagnosis and death from any cause during follow-up. Descriptive statistics were used to compare clinicopathologic characteristics and Fisher exact tests were used to compare COVID19 outcomes across the 3 racial/ethnic groups. Results: A total of 1133 patients were identified of which 1111 (98%) were women;of which 575 (52%) NHW, 243 (22%) NHB, 183 (16%) H, and 110 (10%) other/unknown. Baseline characteristics differed among racial/ethnic groups. H were younger (median age: NHW 63y;NHB 62y;H 54y) and more likely to be never smokers (NHW 62%;NHB 62%;H 78%). NHB had higher rates of obesity (NHW 40%;NHB 54%;H 46%), diabetes (NHW 16 %;NHB 32%;H 20%) and combined moderate and severe baseline COVID-19 at presentation (NHW 28%;NHB 42%;H 28%). Cancer characteristics are as shown (Table). Significant differences were observed in outcomes across racial/ethnic groups including higher rates of hospital admission (NHW 34%;NHB 49%;H 34%;P <0.001), mechanical ventilation (NHW 3%;NHB 9%;H 5%;P=0.002), 30-day mortality (NHW 6%;NHB 9%;H 4%;P=0.043) and total mortality (NHW 8%;NHB 12%;H 5%;P=0.05) among NHB compared to NHW and H. Conclusions: This is the largest study to show significant differences in COVID-19 outcomes by racial/ethnic groups of women with BC. The adverse outcomes in NHB could be due to higher moderate to severe COVID-19 at presentation and preexisting comorbidities. H did not have worse outcomes despite having more active disease and recent anti-cancer therapy, including with cytotoxic chemotherapy - potentially due to younger age and nonsmoking status. (Table Presented).
ABSTRACT
Background: Patients (pts) with cancer have a high risk of venous thromboembolic (VTE) complications, further enhanced by anti-cancer treatments, specifically hormonal therapies, targeted therapies (VEGF inhibitors, other TKIs) and immune checkpoint inhibitors (ICIs). We hypothesized that high-risk therapies would predispose pts with cancer and COVID-19 to higher risk of VTE complications. Methods: CCC19 is the largest international registry (NCT04354701) recording outcomes of pts with cancer and COVID-19. The registry was queried for hospitalized pts who developed VTE and received systemic cancer treatment in the year prior to COVID-19. Incidence of VTE was analyzed as the primary endpoint;30-day any cause mortality & need for ICU admission at baseline were secondary endpoints in pts with and without VTE respectively. Pts were stratified by treatment type and time from last treatment dose: <2 wk, 2-4 wk, 1-3 months (mos), 3-12 mos. Results: As of February 9th 2021, 4217 hospitalized pts with complications data were present in the registry. 1867 (44%) pts had received systemic anti-cancer therapy within the year prior to COVID-19 and were analyzed. There were a total of 186 (10%) VTE events. Of these, VTE incidence was 141 (10.5%) in pts with solid tumors and 57 (9%) in pts with hematologic malignancies. Overall 30-day mortality was 20% and 22% in pts with and without VTE respectively, while direct admission to ICU at presentation was seen in 17% and 10% of pts with and without VTE, respectively. Treatment timing and drug exposures are below (Table). Receipt of systemic anti-cancer treatment within 3 mos vs 3-12 mos was associated with increased rate of VTE, OR 2.44, 95% CI 1.18-5.84, p=0.011 (univariate Fisher test). Conclusions: We describe the incidence of VTE events in pts with cancer and COVID-19 with recent systemic cancer therapy. ICI and VEGFi were associated with numerically higher rates of VTE;other examined drugs and drug classes were not. Timing of therapy appears to modify risk of VTE. Although retrospective, with possible selection and confounding biases, our analysis suggests that factors other than anticancer drug exposures may drive VTE events in this population.