Clinical Characteristics and Cause of Death Among Hospitalized Decedents With Cancer and COVID-19.

There is scant information on the clinical progression, end-of-life decisions, and cause of death of patients with cancer diagnosed with COVID-19. Therefore, we conducted a case series of patients admitted to a comprehensive cancer center who did not survive their hospitalization. To determine the cause of death, 3 board-certified intensivists reviewed the electronic medical records. Concordance regarding cause of death was calculated. Discrepancies were resolved through a joint case-by-case review and discussion among the 3 reviewers. During the study period, 551 patients with cancer and COVID-19 were admitted to a dedicated specialty unit; among them, 61 (11.6%) were nonsurvivors. Among nonsurvivors, 31 (51%) patients had hematologic cancers, and 29 (48%) had undergone cancer-directed chemotherapy within 3 months before admission. The median time to death was 15 days (95% confidence interval [CI], 11.8 to 18.2). There were no differences in time to death by cancer category or cancer treatment intent. The majority of decedents (84%) had full code status at admission; however, 53 (87%) had do-not-resuscitate orders at the time of death. Most deaths were deemed to be COVID-19 related (88.5%). The concordance between the reviewers for the cause of death was 78.7%. In contrast to the belief that COVID-19 decedents die because of their comorbidities, in our study only 1 of every 10 patients died of cancer-related causes. Full-scale interventions were offered to all patients irrespective of oncologic treatment intent. However, most decedents in this population preferred care with nonresuscitative measures rather than full support at the end of life.

Hospitalization characteristics and outcomes of patients with cancer and COVID-19 at a comprehensive cancer center.

PURPOSE: Several studies have confirmed increased mortality among patients with both COVID-19 and cancer. It remains important to continue to report observations of morbidity and mortality from COVID-19 in this vulnerable population. The purpose of this study is to describe the hospitalization characteristics and outcomes of patients with both cancer and COVID-19 admitted to our comprehensive cancer center. METHODS: This was a descriptive study of the first COVID-19-related hospitalization among adult patients with cancer admitted to our institution. Descriptive statistics were used to summarize patient demographics, clinical as well as hospitalization characteristics. Overall survival (OS) was estimated using the Kaplan-Meier method. RESULTS: A total of 212 patients were included in our cohort with a mean age of 59 years. Fifty-four percent of patients had history of solid tumor malignancy and 46% had hematologic malignancies. Eighty-five percent of our cohort had active malignancy. The mean length of stay (LOS) for hospitalization was 11.2 days (median LOS of 6 days). Twenty-five percent had severe disease and 10.8% died during their initial hospitalization. Those who had severe disease had worse survival at the end of the observation period. CONCLUSIONS: COVID-19 among cancer patients causes significant morbidity and mortality as well as repeat hospitalizations. Continued study of COVID-19 in this vulnerable population is essential in order to better inform evolving treatment algorithms, public health policies, and infection control protocols, especially for institutions caring for patients with cancer.

END-OF-LIFE CARE AND CLINICAL CHARACTERISTICS OF NONSURVIVOR CANCER PATIENTS WITH COVID-19

Despite having advanced baseline malignancies, most patients received a trial of aggressive intensive care management with life support before considering any EOL measures. At hospital admission, 56% of patients had poor predicted 3-month cancer survival, and the treatment goal was predominantly for life prolongation (53%). B Introduction/Hypothesis: b Data detailing the end-of-life care (EOL) in cancer patients with COVID-19 is scarce. [Extracted from the article] Copyright of Critical Care Medicine is the property of Lippincott Williams & Wilkins and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

High Levels of Common Cold Coronavirus Antibodies in Convalescent Plasma Are Associated With Improved Survival in COVID-19 Patients.

Background: COVID-19 Convalescent plasma (CCP) is safe and effective, particularly if given at an early stage of the disease. Our study aimed to identify an association between survival and specific antibodies found in CCP. Patients and Methods: Patients ≥18 years of age who were hospitalized with moderate to severe COVID-19 infection and received CCP at the MD Anderson Cancer Center between 4/30/2020 and 8/20/2020 were included in the study. We quantified the levels of anti-SARS-CoV-2 antibodies, as well as antibodies against antigens of other coronavirus strains, in the CCP units and compared antibody levels with patient outcomes. For each antibody, a Bayesian exponential survival time regression model including prognostic variables was fit, and the posterior probability of a beneficial effect (PBE) of higher antibody level on survival time was computed. Results: CCP was administered to 44 cancer patients. The median age was 60 years (range 37-84) and 19 (43%) were female. Twelve patients (27%) died of COVID-19-related complications. Higher levels of two non-SARS-CoV-2-specific antibodies, anti-HCoV-OC43 spike IgG and anti-HCoV-HKU1 spike IgG, had PBE = 1.00, and 4 SARS-CoV-2-specific antibodies had PBEs between 0.90 and 0.95. Other factors associated with better survival were shorter time to CCP administration, younger age, and female sex. Conclusions: Common cold coronavirus spike IgG antibodies anti-HCoV-OC43 and anti-HCoV-HKU1 may target a common domain for SARS-CoV-2 and other coronaviruses. They provide a promising therapeutic target for monoclonal antibody production.