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Diagnostic, Clinical and Post-SARS-CoV-2 Scenarios in Cancer Patients with SARS-CoV-2: Retrospective Analysis in Three German Cancer Centers.

ABSTRACT: Oncologists face challenges in the management of SARS-CoV-2 infections and post-SARS-CoV-2 cancer treatment. We analyzed diagnostic, clinical and post-SARS-CoV-2 scenarios in patients from three German cancer centers with RT-PCR confirmed SARS-CoV-2 infection. Sixty-three patients with SARS-CoV-2 and hematologic or solid neoplasms were included. Thirty patients were initially asymptomatic, 10 of whom developed COVID-19 symptoms subsequently. Altogether 20 (32%) patients were asymptomatic, 18 (29%) had mild, 12 (19%) severe and 13 (20%) critical courses. Lymphocytopenia increased risk of severe/critical COVID-19 three-fold (p = 0.015). Asymptomatic course was not associated with age, remission status, therapies or co-morbidities. Secondary bacterial infection accompanied more than one third of critical COVID-19 cases. Treatment was delayed post-SARS-CoV-2 in 46 patients, 9 of whom developed progressive disease (PD). Cancer therapy was modified in 8 SARS-CoV-2 survivors because of deteriorating performance or PD. At the last follow-up, 17 patients had died from COVID-19 (n = 8) or PD (n = 9) giving an estimated 73% four-month overall survival rate. SARS-CoV-2 infection has a heterogenous course in cancer patients. Lymphocytopenia carries a significant risk of severe/critical COVID-19. SARS-CoV-2 disruption of therapy is as serious as SARS-CoV-2 infection itself. Careful surveillance will allow early restart of the anti-cancer treatment.

SUBMITTER: Shumilov E

PROVIDER: S-EPMC8230714 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundSeroprevalence studies provide an accurate measure of SARS-CoV-2 spread and the presence of asymptomatic cases. They also provide information on the uneven impact of the pandemic, pointing out vulnerable groups to prioritize which is particularly relevant in unequal societies. However, due to their high cost, they provide limited evidence of spatial spread of the pandemic specially in unequal societies. Our objective was to estimate the prevalence of SARS-CoV-2 antibodies in Chile and model its spatial risk distribution.MethodsDuring Oct-Nov 2020, we conducted a population-based serosurvey in Santiago, Talca, and Coquimbo-La Serena (2493 individuals). We explored the individual association between positive results and socio-economic and health-related variables by logistic regression for complex surveys. Then, using an Empirical Bayesian Kriging model, we estimated the infection risk spatial distribution using individual and census information, and compared these results with official records.ResultsSeroprevalence was 10.4% (95% CI 7.8-13.7%), ranging from 2% (Talca) to 11% (Santiago), almost three times the number officially reported. Approximately 36% of these were asymptomatic, reaching 82% below 15 years old. Seroprevalence was associated with the city of residence, previous COVID-19 diagnosis, contact with confirmed cases (especially at household), and foreign nationality. The spatial model accurately interpolated the distribution of disease risk within the cities finding significant differences in the predicted probabilities of SARS-CoV-2 infection by census zone (IQR 2.5-15.0%), related to population density and education.ConclusionsOur results underscore the transmission heterogeneity of SARS-CoV-2 within and across three urban centers of Chile. Socio-economic factors and the outcomes of this seroprevalence study enable us to identify priority areas for intervention. Our methodological approach and results can help guide the design of interdisciplinary strategies for urban contexts, not only for SARS-CoV-2 but also for other communicable diseases.

Project description:ImportanceClosure of day care centers has been implemented globally to contain the COVID-19 pandemic but has negative effects on children's health and psychosocial well-being.ObjectiveTo investigate the feasibility of surveillance among children and childcare workers and to model the efficacy of surveillance on viral spread prevention.Design, setting, and participantsThis nonrandomized controlled trial was conducted at 9 day care centers in Wuerzburg, Germany, from October 2020 to March 2021. Participants included children attending day care, childcare workers, and household members. Participating day care centers were assigned to different surveillance modules in a nonrandomized feasibility study. A mathematical model for SARS-CoV-2 spread in day care centers was developed to identify optimal surveillance.InterventionsModules 1, 2, and 3 involved continuous surveillance of asymptomatic children and childcare workers by SARS-CoV-2 polymerase chain reaction testing of either midturbinate nasal swabs twice weekly (module 1) or once weekly (module 2) or self-sampled saliva samples twice weekly (module 3). Module 4 involved symptom-based, on-demand testing of children, childcare workers, and their household members by oropharyngeal swabs. All participants underwent SARS-CoV-2 antibody status testing before and after the sampling period. Questionnaires on attitudes and perception of the pandemic were administered in weeks 1, 6, and 12. Mathematical modeling was used to estimate SARS-CoV-2 spread in day care centers.Main outcomes and measuresThe primary outcomes were acceptance of the respective surveillance protocols (feasibility study) and the estimated number of secondary infections (mathematical modeling).ResultsOf 954 eligible individuals (772 children and 182 childcare workers), 592 (62%), including 442 children (median [IQR] age, 3 [2-4] years; 214 [48.6%] female) and 150 childcare workers (median [IQR] age, 29 [25-44] years; 129 [90.8%] female) participated in the surveillance. In total, 4755 tests for SARS-CoV-2 detected 2 infections (1 childcare worker and 1 adult household member). Acceptance for continuous surveillance was highest for biweekly saliva testing (150 of 221 eligible individuals [67.9%; 95% CI, 61.5%-73.7%]) compared with biweekly (51 of 117 individuals [43.6%; 95% CI, 35.0%-52.6%]) and weekly (44 of 128 individuals [34.4%; 95% CI, 26.7%-43.0%]) midturbinate swabbing (P < .001). Dropout rates were higher for midturbinate swabbing (biweekly, 11 of 62 participants [18%]; once weekly, 11 of 55 participants [20%]) than for saliva testing (6 of 156 participants [4%]). Mathematical modeling based on study and literature data identified biweekly testing of at least 50% of children and childcare workers as minimal requirements to limit secondary infections.Conclusions and relevanceIn this nonrandomized controlled trial, surveillance for SARS-CoV-2 in 9 German day care centers was feasible and well accepted. Mathematical modeling estimated that testing can minimize the spread of SARS-CoV-2 in day care centers. These findings enable setup of surveillance programs to maintain institutional childcare.Trial registrationGerman Registry for Clinical Trials Identifier: DRKS00023721.

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Diagnostic, Clinical and Post-SARS-CoV-2 Scenarios in Cancer Patients with SARS-CoV-2: Retrospective Analysis in Three German Cancer Centers.

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