Background Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness.Methods In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing. FindingsOf 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57-76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1•84, 95% CI 1•53-2•21), male sex (1•63, 1•07-2•48), smoking status (former smoker vs never smoked: 1•60, 1•03-2•47), number of comorbidities (two vs none: 4•50, 1•33-15•28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3•89, 2•11-7•18), active cancer (progressing vs remission: 5•20, 2•77-9•77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2•93, 1•79-4•79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0•24, 0•07-0•84) or the US-Midwest (0•50, 0•28-0•90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality. Interpretation Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments.

IMPORTANCE COVID-19 is a life-threatening illness for many patients. Prior studies have established hematologic cancers as a risk factor associated with particularly poor outcomes from COVID-19. To our knowledge, no studies have established a beneficial role for anti-COVID-19 interventions in this at-risk population. Convalescent plasma therapy may benefit immunocompromised individuals with COVID-19, including those with hematologic cancers.OBJECTIVE To evaluate the association of convalescent plasma treatment with 30-day mortality in hospitalized adults with hematologic cancers and COVID-19 from a multi-institutional cohort. DESIGN, SETTING, AND PARTICIPANTSThis retrospective cohort study using data from the COVID-19 and Cancer Consortium registry with propensity score matching evaluated patients with hematologic cancers who were hospitalized for COVID-19. Data were collected between

Transamidase (i.e., "transglutaminase") activity of It is known that certain proteins in mouse (1) and human erythrocyte ghosts (2, 3) undergo a rather extensive crosslinking when exposed to transamidating enzymes of the endo-y-glutamine:e-lysine transferase type (4) in the presence of calcium ions.

Purpose There is very little data on the effect of combining methods to better predict and improve oral antineoplastic adherence in cancer patients. The goal of this study was to evaluate the effectiveness of an intensive pharmacist intervention at the beginning of oral antineoplastic therapy versus nurse-led control group on adherence. Methods This was a prospective, randomized, open-label controlled trial performed in a single center hematology/oncology outpatient service to compare the effectiveness of repetitive pharmacist educational intervention on adherence rates measured at four and eight weeks after prescribing oral antineoplastic medication compared to a nurse-led control group. Both groups included investigator pill counts and self-report adherence questionnaires. Results Two-hundred patients were enrolled between 2009 and 2015. Fourteen of the 101 (14%) patients in the pharmacist group and 7 (7%) of the 99 patients in the nurse-led control group dropped out ( p = 0.166). The majority of patients who remained in the study were 90–100% adherent to oral antineoplastic therapy in both groups. The pharmacist group slightly underperformed at Pill Count 2, possibly due to barriers for non-adherence. Statistically significant correlations associated with non-adherence were forgetfulness ( p = 0.009), wanting to avoid side effects ( p = 0.02), feeling depressed or overwhelmed ( p = 0.032), or falling asleep before taking medication ( p = 0.048) in both groups. Conclusion The combination of pill count and patient self-report adherence is a way of improving oral antineoplastic adherence. However, significant barriers to adherence were identified such as forgetfulness, wanting to avoid side effects, feeling depressed or overwhelmed, and falling asleep before taking medications.