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Kaul V, Chahal J, Schrarstzhaupt IN, Geduld H, Shen Y, Cecconi M, Siqueira AM, Markoski MM, Kawano-Dourado L. Lessons Learned from a Global Perspective of Coronavirus Disease-2019. Clin Chest Med 2023; 44:435-449. [PMID: 37085231 PMCID: PMC9684102 DOI: 10.1016/j.ccm.2022.11.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Coronavirus disease-2019 has impacted the world globally. Countries and health care organizations across the globe responded to this unprecedented public health crisis in a varied manner in terms of public health and social measures, vaccination development and rollout, the conduct of research, developments of therapeutics, sharing of information, and in how they continue to deal with the widespread aftermath. This article reviews the various elements of the global response to the pandemic, focusing on the lessons learned and strategies to consider during future pandemics.
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Affiliation(s)
- Viren Kaul
- Department of Pulmonary and Critical Care Medicine, Crouse Health/Upstate Medical University, 736 Irving Avenue, Syracuse, NY, 13210, USA
| | - Japjot Chahal
- Department of Pulmonary and Critical Care Medicine, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY, 13210, USA
| | - Isaac N Schrarstzhaupt
- Capixaba Institute of Health Education, Research and Innovation (ICEPi), Rua Duque de Caxias, 267 - Centro, Vitória/ES, 29010-120, Brazil
| | - Heike Geduld
- Division of Emergency Medicine, Faculty of Medicine and Health Sciences, Room 5006 Clinical Building, Stellenbosch University Tygerberg Campus, Cape Town 7505, South Africa
| | - Yinzhong Shen
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, China
| | - Maurizio Cecconi
- Department of Anesthesia and Intensive Care, IRCCS Instituto Clinico Humanitas, Via Manzoni 56, Rozzano (Milano), Italy
| | - Andre M Siqueira
- Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Avenida Brasil 4365, CEP 21040-900, Rio de Janeiro RJ Brazil
| | - Melissa M Markoski
- UFCSPA - Federal University of Health Sciences of Porto Alegre. Sarmento Leite, 245 - Centro Histórico, Porto Alegre - RS, 90050-170, Brazil
| | - Leticia Kawano-Dourado
- Hcor Research Institute, Hospital do Coracao, R. Des Eliseu Guilherme, 200, 8o andar, Sao Paulo, SP 04004-030, Brazil; Pulmonary Division, InCor, University of Sao Paulo.
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Martin P, Tsourti Z, Ribeiro J, Castelo-Branco L, de Azambuja E, Gennatas S, Rogado J, Sekacheva M, Šušnjar S, Viñal D, Lee R, Khallaf S, Dimopoulou G, Pradervand S, Whisenant J, Choueiri TK, Arnold D, Harrington K, Punie K, Oliveira J, Michielin O, Dafni U, Peters S, Pentheroudakis G, Romano E. COVID-19 in cancer patients: update from the joint analysis of the ESMO-CoCARE, BSMO, and PSMO international databases. ESMO Open 2023; 8:101566. [PMID: 37285719 DOI: 10.1016/j.esmoop.2023.101566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 06/09/2023] Open
Abstract
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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Affiliation(s)
- P Martin
- Department of Oncology, Institut Curie, Paris, France
| | - Z Tsourti
- Frontier Science Foundation-Hellas, Athens, Greece
| | - J Ribeiro
- Gustave Roussy, Department of Cancer Medicine, Villejuif, France
| | - L Castelo-Branco
- NOVA National School of Public Health, NOVA University, Lisbon, Portugal; Scientific and Medical Division, ESMO (European Society for Medical Oncology), Lugano, Switzerland
| | - E de Azambuja
- Institut Jules Bordet and l'Université Libre de Bruxelles (U.L.B), Brussels, Belgium
| | - S Gennatas
- Medical Oncology Department, The Royal Marsden Hospital - NHS Foundation Trust, London, UK
| | - J Rogado
- Medical Oncology Department, Hospital Universitario Infanta Leonor, Madrid, Spain
| | - M Sekacheva
- World-Class Research Center 'Digital Biodesign and Personalized Healthcare', Sechenov First Moscow State Medical University, Moscow, Russia
| | - S Šušnjar
- Department of Medical Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia
| | - D Viñal
- Medical Oncology Department, Hospital Universitario La Paz, Madrid, Spain
| | - R Lee
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester; Medical Oncology Department, The Christie NHS Foundation Trust, Manchester, UK
| | - S Khallaf
- Medical Oncology Department, South Egypt Cancer Institute (SECI), Assiut University, Assiut, Egypt
| | - G Dimopoulou
- Frontier Science Foundation-Hellas, Athens, Greece
| | - S Pradervand
- Oncology Department, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - J Whisenant
- Vanderbilt University Medical Center, Nashville
| | - T K Choueiri
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston; Harvard Medical School, Boston, USA
| | - D Arnold
- Asklepios Tumorzentrum Hamburg, AK Altona, Department of Oncology, Haematology and Palliative Care, Hamburg, Germany
| | - K Harrington
- Division of Radiotherapy and Imaging, The Royal Marsden/The Institute of Cancer Research NIHR Biomedical Research Centre, London, UK
| | - K Punie
- Department of General Medical Oncology and Multidisciplinary Breast Centre, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - J Oliveira
- Department of Medicine, Instituto Português de Oncologia, Porto, Portugal
| | - O Michielin
- Oncology Department, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - U Dafni
- Laboratory of Biostatistics, School of Health Sciences, National and Kapodistrian University of Athens, Athens Frontier Science Foundation-Hellas, Athens, Greece
| | - S Peters
- Oncology Department, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - G Pentheroudakis
- Scientific and Medical Division, ESMO (European Society for Medical Oncology), Lugano, Switzerland
| | - E Romano
- Department of Oncology, Institut Curie, Paris, France.
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Wu Y, Kang L, Guo Z, Liu J, Liu M, Liang W. Incubation Period of COVID-19 Caused by Unique SARS-CoV-2 Strains: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e2228008. [PMID: 35994285 PMCID: PMC9396366 DOI: 10.1001/jamanetworkopen.2022.28008] [Citation(s) in RCA: 168] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
IMPORTANCE Several studies were conducted to estimate the average incubation period of COVID-19; however, the incubation period of COVID-19 caused by different SARS-CoV-2 variants is not well described. OBJECTIVE To systematically assess the incubation period of COVID-19 and the incubation periods of COVID-19 caused by different SARS-CoV-2 variants in published studies. DATA SOURCES PubMed, EMBASE, and ScienceDirect were searched between December 1, 2019, and February 10, 2022. STUDY SELECTION Original studies of the incubation period of COVID-19, defined as the time from infection to the onset of signs and symptoms. DATA EXTRACTION AND SYNTHESIS Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline, 3 reviewers independently extracted the data from the eligible studies in March 2022. The parameters, or sufficient information to facilitate calculation of those values, were derived from random-effects meta-analysis. MAIN OUTCOMES AND MEASURES The mean estimate of the incubation period and different SARS-CoV-2 strains. RESULTS A total of 142 studies with 8112 patients were included. The pooled incubation period was 6.57 days (95% CI, 6.26-6.88) and ranged from 1.80 to 18.87 days. The incubation period of COVID-19 caused by the Alpha, Beta, Delta, and Omicron variants were reported in 1 study (with 6374 patients), 1 study (10 patients), 6 studies (2368 patients) and 5 studies (829 patients), respectively. The mean incubation period of COVID-19 was 5.00 days (95% CI, 4.94-5.06 days) for cases caused by the Alpha variant, 4.50 days (95% CI, 1.83-7.17 days) for the Beta variant, 4.41 days (95% CI, 3.76-5.05 days) for the Delta variant, and 3.42 days (95% CI, 2.88-3.96 days) for the Omicron variant. The mean incubation was 7.43 days (95% CI, 5.75-9.11 days) among older patients (ie, aged over 60 years old), 8.82 days (95% CI, 8.19-9.45 days) among infected children (ages 18 years or younger), 6.99 days (95% CI, 6.07-7.92 days) among patients with nonsevere illness, and 6.69 days (95% CI, 4.53-8.85 days) among patients with severe illness. CONCLUSIONS AND RELEVANCE The findings of this study suggest that SARS-CoV-2 has evolved and mutated continuously throughout the COVID-19 pandemic, producing variants with different enhanced transmission and virulence. Identifying the incubation period of different variants is a key factor in determining the isolation period.
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Affiliation(s)
- Yu Wu
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Liangyu Kang
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Zirui Guo
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Min Liu
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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Eggli Y, Rousson V. Lessons from a pandemic. PLOS GLOBAL PUBLIC HEALTH 2022; 2:e0000404. [PMID: 36962218 PMCID: PMC10021850 DOI: 10.1371/journal.pgph.0000404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/30/2022] [Indexed: 11/19/2022]
Abstract
Several interventions have been used around the world trying to contain the SARS-CoV-2 pandemic, such as quarantine, prohibition of mass demonstrations, isolation of sick people, tracing of virus carriers, semi-containment, promotion of barrier gestures, development of rapid self-tests and vaccines among others. We propose a simple model to evaluate the potential impact of such interventions. A model for the reproduction number of an infectious disease including three main contexts of infection (indoor mass events, public indoor activities and household) and seven parameters is considered. We illustrate how these parameters could be obtained from the literature or from expert assumptions, and we apply the model to describe 20 scenarios that can typically occur during the different phases of a pandemic. This model provides a useful framework for better understanding and communicating the effects of different (combinations of) possible interventions, while encouraging constant updating of expert assumptions to better match reality. This simple approach will bring more transparency and public support to help governments to think, decide, evaluate and adjust what to do during a pandemic.
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Affiliation(s)
- Yves Eggli
- Center for Primary Care and Public Health (Unisante), University of Lausanne, Lausanne, Switzerland
| | - Valentin Rousson
- Center for Primary Care and Public Health (Unisante), University of Lausanne, Lausanne, Switzerland
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