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BACKGROUND: COVID-19 has significantly affected patients with cancer and revealed unanticipated challenges in securing optimal cancer care across different disciplines. The European Society for Medical Oncology COVID-19 and CAncer REgistry (ESMO-CoCARE) is an international, real-world database, collecting data on the natural history, management, and outcomes of patients with cancer and SARS-CoV-2 infection. METHODS: This is the 2nd CoCARE analysis, jointly with Belgian (Belgian Society of Medical Oncology, BSMO) and Portuguese (Portuguese Society of Medical Oncology, PSMO) registries, with data from January 2020 to December 2021. The aim is to identify significant prognostic factors for COVID-19 hospitalization and mortality (primary outcomes), as well as intensive care unit admission and overall survival (OS) (secondary outcomes). Subgroup analyses by pandemic phase and vaccination status were carried out. RESULTS: The cohort includes 3294 patients (CoCARE: 2049; BSMO: 928, all hospitalized by eligibility criteria; PSMO: 317), diagnosed in four distinct pandemic phases (January to May 2020: 36%; June to September 2020: 9%; October 2020 to February 2021: 41%; March to December 2021: 12%). COVID-19 hospitalization rate was 54% (CoCARE/PSMO), ICU admission 14%, and COVID-19 mortality 22% (all data). At a 6-month median follow-up, 1013 deaths were recorded with 73% 3-month OS rate. No significant change was observed in COVID-19 mortality among hospitalized patients across the four pandemic phases (30%-33%). Hospitalizations and ICU admission decreased significantly (from 78% to 34% and 16% to 10%, respectively). Among 1522 patients with known vaccination status at COVID-19 diagnosis, 70% were non-vaccinated, 24% had incomplete vaccination, and 7% complete vaccination. Complete vaccination had a protective effect on hospitalization (odds ratio = 0.24; 95% confidence interval [0.14-0.38]), ICU admission (odds ratio = 0.29 [0.09-0.94]), and OS (hazard ratio = 0.39 [0.20-0.76]). In multivariable analyses, COVID-19 hospitalization was associated with patient/cancer characteristics, the first pandemic phase, the presence of COVID-19-related symptoms or inflammatory biomarkers, whereas COVID-19 mortality was significantly higher in symptomatic patients, males, older age, ethnicity other than Asian/Caucasian, Eastern Cooperative Oncology Group performance status ≥2, body mass index <25, hematological malignancy, progressive disease versus no evident disease, and advanced cancer stage. CONCLUSIONS: The updated CoCARE analysis, jointly with BSMO and PSMO, highlights factors that significantly affect COVID-19 outcomes, providing actionable clues for further reducing mortality.
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COVID-19 , Neoplasms , Male , Humans , SARS-CoV-2 , COVID-19 Testing , Risk Factors , Neoplasms/epidemiology , Neoplasms/therapy , Medical Oncology , RegistriesABSTRACT
Background: As management and prevention strategies against Coronavirus Disease-19 (COVID-19) evolve, it is still uncertain whether prior exposure to immune checkpoint inhibitors (ICIs) affects COVID-19 severity in patients (pts) with cancer. Method(s): In a joint analysis of ICI recipients from OnCovid (NCT04393974) and ESMO CoCARE registries, we assessed severity and mortality from SARS-CoV-2 in vaccinated and unvaccinated pts with cancer and explored whether prior immune-related adverse events (irAEs) influenced outcome from COVID-19. Result(s): The study population consisted of 240 pts diagnosed with COVID-19 between Jan 2020 and Feb 2022 exposed to ICI within 3 months prior to COVID-19 diagnosis, with a 30-day case fatality rate (CFR30) of 23.6% (95%CI: 17.8-30.7%). 42 (17.5%) were fully vaccinated prior to COVID-19 and experienced decreased CFR30 (4.8% vs 28.1%, p=0.001), hospitalization rate (27.5% vs 63.2%, p<0.001), requirement of oxygen therapy (15.8% vs 41.5%, p=0.003), COVID-19 complication rate (11.9% vs 34.6%, p=0.004), and COVID-19-specific therapy (26.3% vs 57.9%, p=0.001) compared with unvaccinated pts. IPTW-fitted multivariable analysis, following a clustered-robust correction for the data source (OnCovid vs ESMO CoCARE), confirmed that vaccinated pts experienced a decreased risk of death at 30 days (aOR 0.08, 95%CI: 0.01-0.69). 38 pts (15.8%) experienced at least 1 irAE of any grade at any time prior to COVID-19, at a median time of 3.2 months (0.13-48.7) from COVID-19 diagnosis. IrAEs occurred independently of baseline characteristics except for primary tumour (p=0.037) and were associated with a significantly decreased CFR30 (10.8% vs 26.0%, p=0.0462) additionally confirmed by the IPTW-fitted multivariable analysis (aOR: 0.47, 95%CI: 0.33-0.67). Pts who experienced irAEs also presented a higher median absolute lymphocyte count at COVID-19 (1.4 vs 0.8 109 cells/L, p=0.009). Conclusion(s): Anti-SARS-CoV-2 vaccination reduces morbidity and mortality from COVID-19 in ICI recipients. History of irAEs might identify pts with pre-existing protection from COVID-19, warranting further investigation of adaptive immune determinants of protection from SARS-CoV-2. Clinical trial identification: NCT04393974 OnCovid. Legal entity responsible for the study: Imperial College London & ESMO. Funding(s): Imperial Biomedical Research Centre ESMO. Disclosure: A. Cortellini: Financial Interests, Personal, Advisory Board: MSD, OncoC4;Financial Interests, Personal, Invited Speaker: Eisai, AstraZeneca;Financial Interests, Personal, Expert Testimony: Iqvia. D.J. Pinato: Financial Interests, Personal, Invited Speaker: ViiV Healthcare, Bayer, BMS, Roche, Eisai, Falk Foundation;Financial Interests, Personal, Advisory Board: Mina Therapuetics, Eisai, Roche, DaVolterra, AstraZeneca. All other authors have declared no conflicts of interest. Copyright © 2022 European Society for Medical Oncology
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The novel coronavirus disease, COVID-19, was identified in China in December 2019. The responsible agent, SARS-COV2, was first isolated in China on January 9, 2020.
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Background: The 2013 WHO antiretroviral guidelines recommended routine testing of HIV viral load (VL) (concentration of HIV RNA copies/mL of blood) as the preferred method for monitoring treatment in people living with HIV (PLHIV). The 2020 UNAIDS targets proposed that all PLHIV receiving antiretroviral therapy (ART) have access to HIV viral load testing (VLT) as part of public health programs aiming to reduce HIV transmission. In limited-resource countries, PLHIV are facing various challenges to VLT access, and some might be associated with health-related facility factors. Methods: To identify characteristics of facilities associated with low VLT coverage (VLTC)), we analyzed data reported to the Monitoring, Evaluation, and Reporting (MER) System by 17 PEPFAR-supported sub-Saharan African countries in 2019 and 2020. We used ordinal logistic regression model accounting for clustering with assumption of random effect model on facility. Outcome variable was VLTC (proportion of the number of PLHIV with a VL in the medical record or laboratory record/laboratory information system within the past 12 months divided by the number of PLHIV receiving ART six months earlier) categorized as Low (< 70%), Medium (70% to < 90%), and High (>= 90%). Independent variables were region (Eastern, Southern, Western/Central Africa), age (0-9, 10-19, 20-29, 30-39, 40-49, 50+ years), sex (male, female), and volume (low volume: <100 PLHIV on ART vs. high volume: >=100 PLHIV on ART) by facility. Results: The odds of VLTC were higher in the Southern region (adjusted odds ratio [AOR] = 1.95;95% CI 1.92, 1.97) and lower in the Western/Central region (AOR = 0.86;95% CI 0.85, 0.88) as compared with Eastern region. The AOR for VLTC was lower for high volume as compared with low volume facilities (AOR = 0.69;95% CI 0.67, 0.70). The year 2020 had a lower AOR for VLTC (AOR = 0.98;95% CI 0.97, 0.99) than 2019. Males had an AOR for VLTC of 1.00 compared with females, and as age increased so did AOR for VLTC (AOR = 1.02;95% CI 1.02, 1.02). Conclusion: Gaps in HIV VL testing coverage have increased since 2019, potentially due to the COVID-19 pandemic. Regional gaps were seen in Western/Central Africa and with increased facility volume. Potential gaps might be seen in younger PLHIV. Identifying barriers to scale-up of HIV VL monitoring in facilities with low volume to develop and implement effective public health strategies could help to improve PLHIV outcomes and accelerate progress toward HIV epidemic control in these regions.
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Healthcare facilities require flexible layouts that can adapt quickly in the face of various disruptions. COVID-19 confirmed this need for both healthcare and manufacturing systems. Starting with the transfer of decision support systems from manufacturing, this paper generalizes layout re-design activities for complex systems by presenting a simulation framework. Through a real case study concerning the proliferation of nosocomial cross-infection in an intensive care unit (ICU), the model developed in systems dynamics, based on a zero order immediate logic, allows reproducing the evolution of the different agencies (e.g., physicians, nurses, ancillary workers, patients), as well as of the cyber-technical side of the ICU, in its general but also local aspects. The entire global workflow is theoretically founded on lean principles, with the goal of balancing the need for minimal patient throughput time and maximum efficiency by optimizing the resources used during the process. The proposed framework might be transferred to other wards with minimal adjustments;hence, it has the potential to represent the initial step for a modular depiction of an entire healthcare facility. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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BACKGROUND: ESMO COVID-19 and CAncer REgistry (ESMO-CoCARE) is an international collaborative registry-based, cohort study gathering real-world data from Europe, Asia/Oceania and Africa on the natural history, management and outcomes of patients with cancer infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). PATIENTS AND METHODS: ESMO-CoCARE captures information on patients with solid/haematological malignancies, diagnosed with coronavirus disease 2019 (COVID-19). Data collected since June 2020 include demographics, comorbidities, laboratory measurements, cancer characteristics, COVID-19 clinical features, management and outcome. Parameters influencing COVID-19 severity/recovery were investigated as well as factors associated with overall survival (OS) upon SARS-CoV-2 infection. RESULTS: This analysis includes 1626 patients from 20 countries (87% from 24 European, 7% from 5 North African, 6% from 8 Asian/Oceanian centres), with COVID-19 diagnosis from January 2020 to May 2021. Median age was 64 years, with 52% of female, 57% of cancer stage III/IV and 65% receiving active cancer treatment. Nearly 64% patients required hospitalization due to COVID-19 diagnosis, with 11% receiving intensive care. In multivariable analysis, male sex, older age, Eastern Cooperative Oncology Group (ECOG) performance status ≥2, body mass index (BMI) <25 kg/m2, presence of comorbidities, symptomatic disease, as well as haematological malignancies, active/progressive cancer, neutrophil-to-lymphocyte ratio (NLR) ≥6 and OnCovid Inflammatory Score ≤40 were associated with COVID-19 severity (i.e. severe/moderate disease requiring hospitalization). About 98% of patients with mild COVID-19 recovered, as opposed to 71% with severe/moderate disease. Advanced cancer stage was an additional adverse prognostic factor for recovery. At data cut-off, and with median follow-up of 3 months, the COVID-19-related death rate was 24.5% (297/1212), with 380 deaths recorded in total. Almost all factors associated with COVID-19 severity, except for BMI and NLR, were also predictive of inferior OS, along with smoking and non-Asian ethnicity. CONCLUSIONS: Selected patient and cancer characteristics related to sex, ethnicity, poor fitness, comorbidities, inflammation and active malignancy predict for severe/moderate disease and adverse outcomes from COVID-19 in patients with cancer.
Subject(s)
COVID-19 , Hematologic Neoplasms , Neoplasms , COVID-19 Testing , Cohort Studies , Female , Humans , Male , Middle Aged , Neoplasms/epidemiology , Neoplasms/therapy , Registries , SARS-CoV-2ABSTRACT
Background: At the height of the first wave of the SARS-COV-2 pandemic, ESMO mobilized to accelerate research for the understanding of COVID-19 in cancer patients (pts). ESMO CoCARE is an international collaborative registry-based, cohort study, gathering real-world data and information from healthcare professionals about the natural history, treatment and outcomes of COVID-19 in cancer pts. Methods: ESMO CoCARE captures information on pts with any solid or hematologic malignancy (including cancer survivors free of disease for ≥5 years) presenting with a COVID-19 diagnosis in any of the participating centers. Data collected since 06/2020 include demographics, cancer characteristics and status, co-morbidities, COVID-19 clinical features, course, management and outcome. Factors influencing COVID-19 severity (hospitalization +/- ICU support needed) and recovery are investigated using multivariable logistic regression with backward elimination method. The study is ongoing. Results: The current analysis includes 1551 registered pts (19 countries;87% pts from 23 European centers, 7% and 6% pts from 5 Northern African and 7 Asian centers), with COVID-19 diagnosis as of 11/03/2021. Median age was 64 years, with the majority female (52%), cancer stage III/IV (58%), and on active cancer treatment (60%). 65% had severe COVID-19 requiring hospitalization, with 11% receiving intensive care. In multivariable analysis, in addition to demographics (male gender, older age, other ethnicity than Caucasian, lower BMI), co-morbidities and symptomatic COVID-19, severe disease was associated to higher ECOG PS (Odds Ratio (OR)2 vs 0=5.9, OR1 vs 0=2.1), hematological malignancies (OR hemvs solid =2.0), and active/progressive cancer status (OR progressivevs no evidence of disease =1.6). 98% of pts with mild disease recovered, as opposed to only 70% of those with severe disease. Cancer stage was an additional prognostic factor for recovery (ORI/II vs IV =3.4). Conclusions: Demographic characteristics, type and status of cancer, and symptomatology of COVID-19 increase the probability of severe disease, while advanced cancer stage is also associated with the risk of death. Legal entity responsible for the study: Institut Curie, Paris, France. Funding: ESMO - European Society for Medical Oncology. Disclosure: E. Romano: Financial Interests, Institutional, Funding, Investigator-initiated trial: AstraZeneca;Financial Interests, Institutional, Funding, Investigator-initiated trial: BMS;Financial Interests, Personal, Advisory Board: AstraZeneca;Financial Interests, Personal, Advisory Board: Merck;Financial Interests, Personal, Invited Speaker: Roche;Financial Interests, Personal, Invited Speaker: Pierre Fabre. R. Lee: Financial Interests, Personal, Invited Speaker: AstraZeneca;Financial Interests, Institutional, Funding: BMS. A. Croitoru: Financial Interests, Personal, Advisory Role: Ipsen;Financial Interests, Personal, Advisory Role: Astellas;Financial Interests, Personal and Institutional, Funding: Bristol-Myers Squibb;Financial Interests, Personal and Institutional, Funding: Merck;Financial Interests, Personal and Institutional, Funding: Astellas;Financial Interests, Personal and Institutional, Funding: Servier;Financial Interests, Personal and Institutional, Funding: Five Prime Therapeutics;Financial Interests, Personal and Institutional, Funding: Amgen;Financial Interests, Personal, Other, Travel funding: Merck;Financial Interests, Personal, Other, travel funding: Servier;Financial Interests, Personal, Other, travel funding: Roche. S. Susnjar: Financial Interests, Personal, Other, Honoraria and/or advisory fees: Roche;Financial Interests, Personal, Other, Honoraria and/or advisory fees: Pfizer;Financial Interests, Personal, Other, Honoraria and/or advisory fees: Novartis;Financial Interests, Personal, Other, Honoraria and/or advisory fees: AstraZeneca;Financial Interests, Personal, Other, Honoraria and/or advisory fees: Amicus. M. Rossi: Financial Interests, Personal, Other, travel and personal fees: Novartis;Financial terests, Personal, Other, travel and personal fees: Ipsen. O.A. Michielin: Financial Interests, Personal, Other, personal fees: Bristol-Myers Squibb;Financial Interests, Personal, Other, personal fees: MSD;Financial Interests, Personal, Other, personal fees: Novartis;Financial Interests, Personal, Other, personal fees: Roche;Financial Interests, Personal, Other, personal fees: Amgen;Financial Interests, Personal, Other, personal fees: NeraCare GmbH. G. Pentheroudakis: Financial Interests, Personal, Advisory Board: Amgen;Financial Interests, Personal, Advisory Board: AstraZeneca;Financial Interests, Personal, Advisory Board: Bristol Myers Squibb;Financial Interests, Personal, Advisory Board: Lilly;Financial Interests, Personal, Advisory Board: Merck;Financial Interests, Personal, Advisory Board: MSD;Financial Interests, Personal, Advisory Board: Roche;Financial Interests, Institutional, Principal Investigator: AbbVie;Financial Interests, Institutional, Research Grant: Amgen;Financial Interests, Institutional, Principal Investigator, Coordinating PI: Amgen;Financial Interests, Institutional, Research Grant: AstraZeneca;Financial Interests, Institutional, Principal Investigator: AstraZeneca;Financial Interests, Institutional, Research Grant: Boehringer Ingelheim;Financial Interests, Institutional, Funding: Boehringer Ingelheim;Financial Interests, Institutional, Funding: Bristol Myers Squibb;Financial Interests, Institutional, Principal Investigator: Bristol Myers Squibb;Financial Interests, Institutional, Principal Investigator: Debbiopharm;Financial Interests, Institutional, Funding: Enorasis;Financial Interests, Institutional, Funding: Genekor;Financial Interests, Institutional, Funding: Ipsen;Financial Interests, Institutional, Principal Investigator: Ipsen;Financial Interests, Institutional, Funding: Janssen;Financial Interests, Institutional, Principal Investigator: Lilly;Financial Interests, Institutional, Funding: Merck;Financial Interests, Institutional, Principal Investigator: Merck;Financial Interests, Institutional, Funding: MSD;Financial Interests, Institutional, Principal Investigator: MSD;Financial Interests, Institutional, Funding: Pfizer;Financial Interests, Institutional, Principal Investigator: Roche;Financial Interests, Institutional, Research Grant: Roche;Financial Interests, Institutional, Funding: Sanofi;Financial Interests, Institutional, Principal Investigator, Coodinating Pi: Servier;Financial Interests, Institutional, Funding: Servier. S. Peters: Consultation / Advisory role: AbbVie, Amgen, AstraZeneca, Bayer, Beigene, Biocartis, Bio Invent, Blueprint Medicines, Boehringer Ingelheim, Bristol-Myers Squibb, Clovis, Daiichi Sankyo, Debiopharm, Eli Lilly, Elsevier, F. Hoffmann-La Roche/Genentech, Foundation Medicine, Illumina, Incyte, IQVIA, Janssen, Medscape, Merck Sharp and Dohme, Merck Serono, Merrimack, Mirati, Novartis, PharmaMar, Phosplatin Therapeutics, Pfizer, Regeneron, Sanofi, Seattle Genetics, Takeda, Vaccibody. Talk in a company’s organized public event: AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, e-cancer, Eli Lilly, F. Hoffmann-La Roche/Genentech, Illumina, Medscape, Merck Sharp and Dohme, Novartis, PER, Pfizer, Prime, RTP, Sanofi, Takeda. Receipt of grants/research supports: (Sub)investigator in trials (institutional financial support for clinical trials) sponsored by Amgen, AstraZeneca, Biodesix, Boehringer Ingelheim, Bristol-Myers Squibb, Clovis, F. Hoffmann-La Roche/Genentech, GSK, Illumina, Lilly, Merck Sharp and Dohme, Merck Serono, Mirati, Novartis, and Pfizer, Phosplatin Therapeutics. All other authors have declared no conflicts of interest.
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Purpose: There is little or no information on how individuals with alcohol use disorders and limited financial resources manage/deal with their alcohol problems during the pandemic outbreak. Two broad scenarios were posited: one predicting an increase in alcohol consumption as a coping mechanism;another forecasting a reduction in drinking based on the decreased physical access to alcohol and financial resources. This study examines whether and how the COVID-19 outbreak induced changes in the drinking patterns of a group of individuals with a history of alcohol problems. Methods: Data came from an add-on survey of participants in the Managing Heavy Drinking (MHD) study conducted in Erie County, New York. MHD participants were DWI offenders recruited for the most part from IID installers and from the required impaired driving education program classes. Pre-outbreak data was leveraged with additional information collected after the outbreak (July-August 2020). About 184 eligible MHD participants were invited to complete a short 15- minute Survey Monkey questionnaire. Of them, 92 agreed to participate. Results: Most participants (78.3%) had no direct experience with COVID-19. Overall, there was an increase in the number of drinking days after the outbreak, paralleled with a slightly (but non-significant) decrease in the average number of drinks per drinking day (from 3.7 to 2.8). Those who reported a significant increase in drinking days after the outbreak were those who: i) BEFORE the outbreak had done most of their drinking in places other than their homes, and had received an AUDIT score < 8 (relative to those with a ≥ 8);and ii) those who AFTER the outbreak were worried about their health and/or their finances, and did not stay in alcohol treatment (online). Conclusion: This is one of the first studies that looked at the impact of the COVID-19 pandemic on the use of alcohol by a group of individuals who have already shown problems associated with alcohol use. The study's findings emphasize the need for developing and implementing effective tele-health approaches that could be delivered under severe restrictions such as those imposed by the COVID-19 pandemic, as well as in situations in which those in need of treatment face extreme access impediments.
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Inflammation is an established driver of severe SARS-CoV-2 infection and a mechanism linked to the increased susceptibility to fatal COVID-19 demonstrated by patients with cancer. As patients with cancer exhibit a higher level of inflammation compared with the general patient population, patients with cancer and COVID-19 may uniquely benefit from strategies targeted at overcoming the unrestrained pro-inflammatory response. Targeted and non-targeted anti-inflammatory therapies may prevent end-organ damage in SARS-CoV-2-infected patients with cancer and decrease mortality. Here, we review the clinical role of selective inhibition of pro-inflammatory interleukins, tyrosine kinase modulation, anti-tumor necrosis factor agents, and other non-targeted approaches including corticosteroids in their roles as disease-modulating agents in patients with COVID-19 and cancer. Investigation of these therapeutics in this highly vulnerable patient group is posited to facilitate the development of tailored therapeutics for this patient population, aiding the transition of systemic inflammation from a prognostic domain to a source of therapeutic targets.