551
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Clark BC, Sanchez-de-Toledo J, Bautista-Rodriguez C, Choueiter N, Lara D, Kang H, Mohsin S, Fraisse A, Cesar S, Sattar Shaikh A, Escobar-Diaz MC, Hsu DT, Randanne PC, Aslam N, Kleinmahon J, Lamour JM, Johnson JN, Sarquella-Brugada G, Chowdhury D. Cardiac Abnormalities Seen in Pediatric Patients During the SARS-CoV2 Pandemic: An International Experience. J Am Heart Assoc 2020; 9:e018007. [PMID: 32957826 PMCID: PMC7763413 DOI: 10.1161/jaha.120.018007] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background During the SARS-CoV2 pandemic, there has been increase in hyperinflammatory presentation in previously healthy children with a variety of cardiac manifestations. Our objective is to describe the cardiac manifestations found in an international cohort of 55 pediatric cases with multi-system inflammatory syndrome (MIS-C) during the SARS-CoV2 pandemic. Methods and Results We reviewed data on previously healthy pediatric patients (≤18 years) with structurally normal hearts who presented at hospitals in the United States, United Kingdom, Spain and Pakistan with MIS-C and had consultation with a pediatric cardiologist. Data collected included demographics, clinical presentation, laboratory values, electrocardiographic abnormalities, echocardiographic findings and initial therapies. A total of 55 patients presented with MIS-C. Thirty-five patients (64%) had evidence of decreased left ventricular function, 17 (31%) had valvulitis, 12 (22%) with pericardial effusion and 11 (20%) with coronary abnormalities. Twenty-seven (49%) required ICU admission and 24 (44%) had evidence of shock. Eleven patients (20%) fulfilled complete Kawasaki disease criteria and had lower NT pro-BNP, D-dimer and ferritin levels compared with those who did not fulfill criteria. Electrophysiologic abnormalities occurred in 6 patients and included complete atrioventricular (AV) block, transient AV block and ventricular tachycardia. Conclusions We describe the first international cohort of pediatric patients with MIS-C during the SARS-CoV2 pandemic with a range of cardiac manifestations. This paper brings awareness and alertness to the global medical community to recognize these children during the pandemic and understand the need for early cardiology evaluation and follow-up.
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Affiliation(s)
- Bradley C Clark
- Division of Cardiology Children's Hospital at Montefiore Department of Pediatrics Albert Einstein College of Medicine Bronx NY
| | - Joan Sanchez-de-Toledo
- Department of Cardiology Hospital Sant Joan de Deu Barcelona Spain.,Department of Critical Care Medicine Children's Hospital of Pittsburgh Pittsburgh PA
| | - Carles Bautista-Rodriguez
- Paediatric Cardiology Services Royal Brompton and Harefield Hospitals Trust National Heart and Lung Institute Imperial College London UK
| | - Nadine Choueiter
- Division of Cardiology Children's Hospital at Montefiore Department of Pediatrics Albert Einstein College of Medicine Bronx NY
| | - Diego Lara
- Division of Cardiology Ochsner Health New Orleans LA
| | - Hechaan Kang
- Paediatric Cardiology Services Royal Brompton and Harefield Hospitals Trust National Heart and Lung Institute Imperial College London UK
| | - Shazia Mohsin
- Section of Pediatric Cardiology Department of Pediatric and Child Health Aga Khan University Hospital Karachi Pakistan
| | - Alain Fraisse
- Paediatric Cardiology Services Royal Brompton and Harefield Hospitals Trust National Heart and Lung Institute Imperial College London UK
| | - Sergi Cesar
- Department of Cardiology Hospital Sant Joan de Deu Barcelona Spain
| | - Abdul Sattar Shaikh
- Paediatric Cardiology National Institute of Cardiovascular Diseases Karachi Pakistan
| | | | - Daphne T Hsu
- Division of Cardiology Children's Hospital at Montefiore Department of Pediatrics Albert Einstein College of Medicine Bronx NY
| | - Paula C Randanne
- Department of Cardiology Hospital Sant Joan de Deu Barcelona Spain
| | - Nadeem Aslam
- Section of Pediatric Cardiology Department of Pediatric and Child Health Aga Khan University Hospital Karachi Pakistan
| | | | - Jacqueline M Lamour
- Division of Cardiology Children's Hospital at Montefiore Department of Pediatrics Albert Einstein College of Medicine Bronx NY
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552
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Vilke GM, Brennan JJ, Cronin AO, Castillo EM. Clinical Features of Patients with COVID-19: is Temperature Screening Useful? J Emerg Med 2020; 59:952-956. [PMID: 33139117 PMCID: PMC7505592 DOI: 10.1016/j.jemermed.2020.09.048] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/21/2020] [Accepted: 09/12/2020] [Indexed: 12/22/2022]
Abstract
Background As many businesses reopen after government-induced restrictions, many public agencies and private companies, such as banks, golf courses, and stores, are using temperature screening to assess for possible coronavirus disease 2019 (COVID-19) infection both for patrons and for employees. Objective We assessed the frequency of a fever ≥100.4°F and other symptoms associated with COVID-19 among patients in the emergency department (ED) who were tested in the ED for the illness. Methods This is a retrospective review of data from patients who were tested for acute COVID-19 infection from March 10, 2020 through June 30, 2020 at two EDs within the same health care system. Data collected included temperature, the presence or recent history of COVID-19–related symptoms, and COVID-19 test results. Descriptive statistics are reported for presenting fever and other COVID-19–related symptoms alone and in combination with presenting fever. Results A total of 6894 patients were tested for COVID-19. Among these, 330 (4.8%) tested positive for active infection. Of these patients, 64 (19.4%) presented with a fever ≥100.4°F (≥38.0°C). Increasing the number of COVID-19–related symptoms in combination with a presenting fever ≥100.4°F increased the number of people who could be identified as having a COVID-19 infection. Conclusions About a quarter of patients who were tested positive for COVID-19 in our ED did not have a fever at presentation ≥100.4°F. Using only temperature to screen for COVID-19 in the community setting will likely miss the majority of patients with active disease.
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Affiliation(s)
- Gary M Vilke
- Department of Emergency Medicine, University of California San Diego, San Diego, California
| | - Jesse J Brennan
- Department of Emergency Medicine, University of California San Diego, San Diego, California
| | - Alexandrea O Cronin
- Department of Emergency Medicine, University of California San Diego, San Diego, California
| | - Edward M Castillo
- Department of Emergency Medicine, University of California San Diego, San Diego, California
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553
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Tiruneh FT. Clinical Profile of Covid-19 in Children, Review of Existing Literatures. Pediatric Health Med Ther 2020; 11:385-392. [PMID: 33061744 PMCID: PMC7518768 DOI: 10.2147/phmt.s266063] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022] Open
Abstract
WHO has confirmed that COVID-19 disease is a pandemic on March 11, 2020. The disease is caused by a new virus called SARS-CoV-2. Since, the pandemic was announced around 18,854,287 cases and 708,639 deaths were reported as of August 7, 2020. This review aimed to explore the etiology, pathogenesis, manifestation and complication. The phylogenetic study showed that SARS-CoV-2 is a single-stranded RNA virus. The virus is very contagious and has rapidly spread globally. Its unique structure called S glycoproteins help the virus enters in and cause infection in the body. Children's body reacts against SARS-CoV-2 infections through the involvement of innate and adaptive immune system. The clinical manifestation in children is not specific and not determined. However, fever and cough have mostly been profiled. Though the severe condition is rarely reported in children compared with adults, life-threatening complications, and death associated with COVID-19 disease have been documented. Underlying chronic pulmonary disease, cardiovascular disease, immunosuppression, and obesity significantly contribute to the complications.
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Affiliation(s)
- Firew Tiyare Tiruneh
- Department of Midwifery, College of Health Science, Mizan Tepi University, Mizan Teferi, Ethiopia
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554
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Liu X, Zhuang W, Quan X, Zhou Y, Qin H, Zou C, Zhang H. An especial transition phase of hospitals: the adaptation of hospital operations to the development of COVID-19 and policy adjustments. Environ Health Prev Med 2020; 25:55. [PMID: 32958006 PMCID: PMC7505482 DOI: 10.1186/s12199-020-00891-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 09/01/2020] [Indexed: 11/26/2022] Open
Abstract
The ongoing pandemic coronavirus disease 19 (COVID-19) remains a significant issue for global health, economics, and society. In order to balance epidemic control and economic recovery, many countries have successively announced the gradual relaxation of some lockdown restrictions. Hospitals and medical staff constitute the backbone in this war against COVID-19. In response to this serious situation, many hospitals went into emergency and impaired healthcare access to patients with conditions other than COVID-19. Therefore, gradually promoting hospital operations and functions back to the new normal is important, especially when this outbreak has been effectively controlled. In this study, we introduce existing and potential problems that could seriously affect people’s health. Additionally, we propose that an especial transition phase between the emergency and regular modes of hospitals can be well adapted to the current situation.
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Affiliation(s)
- Xiucheng Liu
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China.,Thoracic Surgery Laboratory, Xuzhou Medical University, Xuzhou, 221006, Jiangsu Province, China
| | - Wei Zhuang
- Putuo District People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Xiaoyu Quan
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
| | - Yeqing Zhou
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
| | - Hao Qin
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
| | - Chenghang Zou
- Xuzhou Medical University, Xuzhou, 221006, Jiangsu Province, China
| | - Hao Zhang
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China. .,Thoracic Surgery Laboratory, Xuzhou Medical University, Xuzhou, 221006, Jiangsu Province, China.
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555
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Lopez AS, Hill M, Antezano J, Vilven D, Rutner T, Bogdanow L, Claflin C, Kracalik IT, Fields VL, Dunn A, Tate JE, Kirking HL, Kiphibane T, Risk I, Tran CH. Transmission Dynamics of COVID-19 Outbreaks Associated with Child Care Facilities - Salt Lake City, Utah, April-July 2020. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT 2020; 69:1319-1323. [PMID: 32941418 PMCID: PMC7498176 DOI: 10.15585/mmwr.mm6937e3] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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556
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Meena J, Yadav J, Saini L, Yadav A, Kumar J. Clinical Features and Outcome of SARS-CoV-2 Infection in Children: A Systematic Review and Meta-analysis. Indian Pediatr 2020; 57:820-826. [PMID: 32583808 PMCID: PMC7498550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2023]
Abstract
OBJECTIVE Knowledge about COVID-19 in children is limited due to the paucity of reported data. The pediatric age group comprises only less than 5% of total COVID-19 worldwide, therefore, large studies in this population are unlikely in the immediate future. Hence, we planned to synthesize the current data that will help in a better understanding of COVID-19 in children. EVIDENCE ACQUISITION Four different electronic databases (MEDLINE, EMBASE, Web of Science, and CENTRAL) were searched for articles related to COVID-19 in the pediatric population. We included studies reporting disease characteristics and outcomes of COVID-19 in patients aged less than 19 years. We performed a random-effect meta-analysis to provide pooled estimates of various disease characteristics. RESULTS 27 studies (4857 patients) fulfilling the eligibility criteria were included in this systematic review, from a total of 883 records. About half of the patients had each of fever and cough, 11% (6-17%) had fast breathing, and 6-13% had gastrointestinal manifestations. Most of the patients had mild to moderate disease, and only 4% had a severe or critical illness. Leukopenia was the commonest reported laboratory abnormality. CONCLUSIONS Even among the symptomatic COVID-19 cases, severe manifestations are seen in very few children. Though fever and respiratory symptoms are most common, many children also have gastrointestinal manifestations.
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Affiliation(s)
- Jitendra Meena
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Jaivinder Yadav
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Lokesh Saini
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Arushi Yadav
- Department of Radiodiagnosis, Government Medical College and Hospital, Chandigarh; India
| | - Jogender Kumar
- Post Graduate Institute of Medical Education and Research, Chandigarh, India. Correspondence to: Dr Jogender Kumar, Assistant Professor, Department of Pediatrics, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
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557
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Meena J, Yadav J, Saini L, Yadav A, Kumar J. Clinical Features and Outcome of SARS-CoV-2 Infection in Children: A Systematic Review and Meta-analysis. Indian Pediatr 2020; 57. [PMID: 32583808 PMCID: PMC7498550 DOI: 10.1007/s13312-020-1961-0] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Knowledge about COVID-19 in children is limited due to the paucity of reported data. The pediatric age group comprises only less than 5% of total COVID-19 worldwide, therefore, large studies in this population are unlikely in the immediate future. Hence, we planned to synthesize the current data that will help in a better understanding of COVID-19 in children. EVIDENCE ACQUISITION Four different electronic databases (MEDLINE, EMBASE, Web of Science, and CENTRAL) were searched for articles related to COVID-19 in the pediatric population. We included studies reporting disease characteristics and outcomes of COVID-19 in patients aged less than 19 years. We performed a random-effect meta-analysis to provide pooled estimates of various disease characteristics. RESULTS 27 studies (4857 patients) fulfilling the eligibility criteria were included in this systematic review, from a total of 883 records. About half of the patients had each of fever and cough, 11% (6-17%) had fast breathing, and 6-13% had gastrointestinal manifestations. Most of the patients had mild to moderate disease, and only 4% had a severe or critical illness. Leukopenia was the commonest reported laboratory abnormality. CONCLUSIONS Even among the symptomatic COVID-19 cases, severe manifestations are seen in very few children. Though fever and respiratory symptoms are most common, many children also have gastrointestinal manifestations.
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Affiliation(s)
- Jitendra Meena
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Jaivinder Yadav
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Lokesh Saini
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Arushi Yadav
- Department of Radiodiagnosis, Government Medical College and Hospital, Chandigarh; India
| | - Jogender Kumar
- Post Graduate Institute of Medical Education and Research, Chandigarh, India. Correspondence to: Dr Jogender Kumar, Assistant Professor, Department of Pediatrics, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
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558
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Liu X, Tang J, Xie R, Li W, Chen J, Guo Y, Zhang B, Zhang Y, Wang J, Peng C, Lei X, Luo Q, Zhang Q, Li Y. Clinical and Epidemiological Features of 46 Children <1 Year Old With Coronavirus Disease 2019 in Wuhan, China: A Descriptive Study. J Infect Dis 2020; 222:1293-1297. [PMID: 32761128 PMCID: PMC7454691 DOI: 10.1093/infdis/jiaa472] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 07/27/2020] [Indexed: 01/15/2023] Open
Abstract
The number of coronavirus disease 2019 (COVID-19) cases has exceeded 10 million. However, little is known about the epidemiology and clinical characteristics of COVID-19 infants. We collected medical information of 46 confirmed patients (<1 year old) and retrospectively analyzed epidemiological history, clinical symptoms, and laboratory test results. The median age was 5 (interquartile range, 2-7) months. Sixteen cases had fever and 27 cases had cough. Moderate disease was present in 40 cases and cardiac injury occurred in 38 cases, following by liver dysfunction in 20 cases and lymphocytosis in no cases. Of all infant patients, 2 received invasive mechanical ventilation and 1 died with multiple organ dysfunction syndrome.
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Affiliation(s)
- Xinghua Liu
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianqiao Tang
- Department of Pediatrics, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rong Xie
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Li
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianying Chen
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Guo
- Wuhan Center for Disease Control and Prevention, Wuhan, China
| | - Bo Zhang
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Zhang
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juanjuan Wang
- Department of Rheumatology and Immunology, Anhui Provincial Children’s Hospital, Hefei, China
| | - Cao Peng
- Department of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao Lei
- Department of General Practice, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qunying Luo
- Department of General Practice, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiong Zhang
- Department of General Practice, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yunqiao Li
- Department of General Practice, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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559
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Jafarzadeh A, Jafarzadeh S, Nozari P, Mokhtari P, Nemati M. Lymphopenia an important immunological abnormality in patients with COVID-19: Possible mechanisms. Scand J Immunol 2020; 93:e12967. [PMID: 32875598 DOI: 10.1111/sji.12967] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/21/2020] [Accepted: 08/24/2020] [Indexed: 02/06/2023]
Abstract
The lymphopenia as a major immunological abnormality occurs in the majority of severe COVID-19 patients, which is strongly associated with mortality rate. A low proportion of lymphocytes may express the main receptor for SARS-CoV-2, called angiotensin-converting enzyme 2 (ACE2). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can also use ACE2-independent pathways to enter lymphocytes. Both SARS-CoV-2- and immune-mediated mechanisms may contribute to the occurrence of lymphopenia through influencing the lymphocyte production, survival or tissue re-distribution. The metabolic and biochemical changes can also affect the production and survival of lymphocytes in COVID-19 patients. Lymphopenia can cause general immunosuppression and promote cytokine storm, both of them play an important role in the viral persistence, viral replication, multi-organ failure and eventually death. Here, a comprehensive view concerning the possible mechanisms that may lead to the lymphocyte reduction in COVID-19 patients is provided, while highlighting the potential intervention approaches to prevent lymphopenia.
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Affiliation(s)
- Abdollah Jafarzadeh
- Department of Immunology, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran.,Department of Immunology, School of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Sara Jafarzadeh
- Student Research Committee, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Parvin Nozari
- Department of Immunology, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Pejman Mokhtari
- Department of Immunology, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Maryam Nemati
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.,Department of Hematology and Laboratory Sciences, School of Para-Medicine, Kerman University of Medical Sciences, Kerman, Iran
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560
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Leuzinger K, Roloff T, Gosert R, Sogaard K, Naegele K, Rentsch K, Bingisser R, Nickel CH, Pargger H, Bassetti S, Bielicki J, Khanna N, Tschudin Sutter S, Widmer A, Hinic V, Battegay M, Egli A, Hirsch HH. Epidemiology of Severe Acute Respiratory Syndrome Coronavirus 2 Emergence Amidst Community-Acquired Respiratory Viruses. J Infect Dis 2020; 222:1270-1279. [PMID: 32726441 PMCID: PMC7454752 DOI: 10.1093/infdis/jiaa464] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 07/23/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in China as the cause of coronavirus disease 2019 in December 2019 and reached Europe by late January 2020, when community-acquired respiratory viruses (CARVs) are at their annual peak. We validated the World Health Organization (WHO)-recommended SARS-CoV-2 assay and analyzed the epidemiology of SARS-CoV-2 and CARVs. METHODS Nasopharyngeal/oropharyngeal swabs (NOPS) from 7663 patients were prospectively tested by the Basel S-gene and WHO-based E-gene (Roche) assays in parallel using the Basel N-gene assay for confirmation. CARVs were prospectively tested in 2394 NOPS by multiplex nucleic acid testing, including 1816 (75%) simultaneously for SARS-CoV-2. RESULTS The Basel S-gene and Roche E-gene assays were concordant in 7475 cases (97.5%) including 825 (11%) SARS-CoV-2 positives. In 188 (2.5%) discordant cases, SARS-CoV-2 loads were significantly lower than in concordant positive ones and confirmed in 105 (1.4%). Adults were more frequently SARS-CoV-2 positive, whereas children tested more frequently CARV positive. CARV coinfections with SARS-CoV-2 occurred in 1.8%. SARS-CoV-2 replaced CARVs within 3 weeks, reaching 48% of all detected respiratory viruses followed by rhinovirus/enterovirus (13%), influenza virus (12%), coronavirus (9%), respiratory syncytial virus (6%), and metapneumovirus (6%). CONCLUSIONS Winter CARVs were dominant during the early SARS-CoV-2 pandemic, impacting infection control and treatment decisions, but were rapidly replaced, suggesting competitive infection. We hypothesize that preexisting immune memory and innate immune interference contribute to the different SARS-CoV-2 epidemiology among adults and children.
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Affiliation(s)
- Karoline Leuzinger
- Clinical Virology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
- Transplantation and Clinical Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Tim Roloff
- Applied Microbiology Research, Laboratory Medicine, Department of Biomedicine, University of Basel, Basel, Switzerland
- Clinical Bacteriology and Mycology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Rainer Gosert
- Clinical Virology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Kirstin Sogaard
- Applied Microbiology Research, Laboratory Medicine, Department of Biomedicine, University of Basel, Basel, Switzerland
- Clinical Bacteriology and Mycology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Klaudia Naegele
- Clinical Virology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Katharina Rentsch
- Clinical Chemistry, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Roland Bingisser
- Emergency Medicine, University Hospital Basel, Basel, Switzerland
| | | | - Hans Pargger
- Intensive Care Unit, University Hospital Basel, Basel, Switzerland
| | - Stefano Bassetti
- Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Julia Bielicki
- Pediatric Infectious Diseases and Hospital Epidemiology, University Children’s Hospital Basel, Basel, Switzerland
| | - Nina Khanna
- Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Sarah Tschudin Sutter
- Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Andreas Widmer
- Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Vladimira Hinic
- Clinical Bacteriology and Mycology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Manuel Battegay
- Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Adrian Egli
- Applied Microbiology Research, Laboratory Medicine, Department of Biomedicine, University of Basel, Basel, Switzerland
- Clinical Bacteriology and Mycology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Hans H Hirsch
- Clinical Virology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
- Transplantation and Clinical Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
- Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
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561
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Inde Z, Yapp C, Joshi GN, Spetz J, Fraser C, Deskin B, Ghelfi E, Sodhi C, Hackam DJ, Kobzik L, Croker BA, Brownfield D, Jia H, Sarosiek KA. Age-dependent regulation of SARS-CoV-2 cell entry genes and cell death programs correlates with COVID-19 disease severity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.09.13.276923. [PMID: 32935109 PMCID: PMC7491524 DOI: 10.1101/2020.09.13.276923] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Angiotensin-converting enzyme 2 (ACE2) maintains cardiovascular and renal homeostasis but also serves as the entry receptor for the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), the causal agent of novel coronavirus disease 2019 (COVID-19). COVID-19 disease severity is typically lower in pediatric patients than adults (particularly the elderly), but higher rates of hospitalizations requiring intensive care are observed in infants than in older children - the reasons for these differences are unknown. ACE2 is expressed in several adult tissues and cells, including alveolar type 2 cells of the distal lung epithelium, but expression at other ages is largely unexplored. Here we show that ACE2 transcripts are expressed in the lung and trachea shortly after birth, downregulated during childhood, and again expressed at high levels in late adulthood. Notably, the repertoire of cells expressing ACE2 protein in the mouse lung and airways shifts during key phases of lung maturation. In particular, podoplanin-positive cells, which are likely alveolar type I cells responsible for gas exchange, express ACE2 only in advanced age. Similar patterns of expression were evident in analysis of human lung tissue from over 100 donors, along with extreme inter- and intra-individual heterogeneity in ACE2 protein expression in epithelial cells. Furthermore, we find that apoptosis, which is a natural host defense system against viral infection, is dynamically regulated during lung maturation, resulting in periods of heightened apoptotic priming and dependence on pro-survival BCL-2 family proteins including MCL-1. Infection of human lung cells with SARS-CoV-2 triggers an unfolded protein stress response and upregulation of the endogenous MCL-1 inhibitor Noxa; in young individuals, MCL-1 inhibition is sufficient to trigger apoptosis in lung epithelial cells and may thus limit virion production and inflammatory signaling. Overall, we identify strong and distinct correlates of COVID-19 disease severity across lifespan and advance our understanding of the regulation of ACE2 and cell death programs in the mammalian lung. Furthermore, our work provides the framework for translation of apoptosis modulating drugs as novel treatments for COVID-19.
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Affiliation(s)
- Zintis Inde
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
| | - Clarence Yapp
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
- Image and Data Analysis Core, Harvard Medical School, Boston, MA
| | - Gaurav N. Joshi
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
- Integrated Cellular Imaging Core, Emory University, Atlanta, GA
| | - Johan Spetz
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
| | - Cameron Fraser
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
| | - Brian Deskin
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Elisa Ghelfi
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Chhinder Sodhi
- Department of Surgery, Johns Hopkins University, Baltimore, MD
| | - David J. Hackam
- Department of Surgery, Johns Hopkins University, Baltimore, MD
| | - Lester Kobzik
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Ben A. Croker
- Division of Allergy, Immunology and Rheumatology, University of California, San Diego, CA
| | - Douglas Brownfield
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Hongpeng Jia
- Department of Surgery, Johns Hopkins University, Baltimore, MD
| | - Kristopher A. Sarosiek
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
- John B. Little Center for Radiation Sciences, Harvard School of Public Health, Boston, MA
- Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA
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562
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Le Roux P, Millardet E, Duquenoy A, Labbé F, Vandendriessche A. Pleuropneumonia resulting from varicella and COVID-19 co-infection in a 10-month-old infant. Arch Pediatr 2020; 27:509-510. [PMID: 32933816 PMCID: PMC7836533 DOI: 10.1016/j.arcped.2020.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/23/2020] [Accepted: 08/24/2020] [Indexed: 12/24/2022]
Abstract
COVID-19 is a new disease leading to respiratory complications in adults. Children appear to have more modest symptoms than adults. Varicella is often described as a benign disease in the pediatric population. However, patients with varicella and COVID-19 co-infection can develop a more serious respiratory infection. We report the case of an infant who had a co-infection with both viruses that led to pleuropneumonia. The main question in the present case concerns the link between COVID-19 and varicella infection, and the possible modulation in immune response due to the two virus infections.
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Affiliation(s)
- Pascal Le Roux
- Department of Pediatrics, Le Havre Hospital, 76600 Le Havre, France.
| | | | - Anne Duquenoy
- Department of Pediatrics, Le Havre Hospital, 76600 Le Havre, France
| | - Franck Labbé
- Department of Medical Microbiology, Le Havre Hospital, 76600 Le Havre, France
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563
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Chiotos K, Hayes M, Kimberlin DW, Jones SB, James SH, Pinninti SG, Yarbrough A, Abzug MJ, MacBrayne CE, Soma VL, Dulek DE, Vora SB, Waghmare A, Wolf J, Olivero R, Grapentine S, Wattier RL, Bio L, Cross SJ, Dillman NO, Downes KJ, Oliveira CR, Timberlake K, Young J, Orscheln RC, Tamma PD, Schwenk HT, Zachariah P, Aldrich ML, Goldman DL, Groves HE, Rajapakse NS, Lamb GS, Tribble AC, Hersh AL, Thorell EA, Denison MR, Ratner AJ, Newland JG, Nakamura MM. Multicenter Interim Guidance on Use of Antivirals for Children With Coronavirus Disease 2019/Severe Acute Respiratory Syndrome Coronavirus 2. J Pediatric Infect Dis Soc 2020; 10:34-48. [PMID: 32918548 PMCID: PMC7543452 DOI: 10.1093/jpids/piaa115] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 09/09/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Although coronavirus disease 2019 (COVID-19) is a mild infection in most children, a small proportion develop severe or critical illness. Data describing agents with potential antiviral activity continue to expand such that updated guidance is needed regarding use of these agents in children. METHODS A panel of pediatric infectious diseases physicians and pharmacists from 20 geographically diverse North American institutions was convened. Through a series of teleconferences and web-based surveys, a set of guidance statements was developed and refined based on review of the best available evidence and expert opinion. RESULTS Given the typically mild course of COVID-19 in children, supportive care alone is suggested for most cases. For children with severe illness, defined as a supplemental oxygen requirement without need for noninvasive or invasive mechanical ventilation or extracorporeal membrane oxygenation (ECMO), remdesivir is suggested, preferably as part of a clinical trial if available. Remdesivir should also be considered for critically ill children requiring invasive or noninvasive mechanical ventilation or ECMO. A duration of 5 days is appropriate for most patients. The panel recommends against the use of hydroxychloroquine or lopinavir-ritonavir (or other protease inhibitors) for COVID-19 in children. CONCLUSIONS Antiviral therapy for COVID-19 is not necessary for the great majority of pediatric patients. For children with severe or critical disease, this guidance offers an approach for decision-making regarding use of remdesivir.
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Affiliation(s)
- Kathleen Chiotos
- Division of Critical Care Medicine, Department of Anesthesia and Critical Care Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, United States,Division of Infectious Diseases, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States,Antimicrobial Stewardship Program, Children’s Hospital of Philadelphia, Philadelphia, United States,Corresponding Author: Kathleen Chiotos, MD, Roberts Center for Pediatric Research, 2716 South Street, Room 10292, Philadelphia, PA 19146,
| | - Molly Hayes
- Antimicrobial Stewardship Program, Children’s Hospital of Philadelphia, Philadelphia, United States
| | - David W Kimberlin
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Sarah B Jones
- Department of Pharmacy, Boston Children’s Hospital, Boston, MA, United States,Antimicrobial Stewardship Program, Boston Children’s Hospital, Boston, MA, United States
| | - Scott H James
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Swetha G Pinninti
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, United States
| | - April Yarbrough
- Department of Pharmacy, Children’s of Alabama, Birmingham, AL, United States
| | - Mark J Abzug
- Division of Infectious Diseases, Department of Pediatrics, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO, United States
| | | | - Vijaya L Soma
- Division of Infectious Diseases, Department of Pediatrics, New York University Grossman School of Medicine and Hassenfeld Children’s Hospital, New York, NY, United States
| | - Daniel E Dulek
- Division of Infectious Diseases, Department of Pediatrics, Vanderbilt University and Monroe Carell Jr. Children’s Hospital, Nashville, TN, United States
| | - Surabhi B Vora
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Washington, Seattle Children’s Hospital, Seattle, WA, United States
| | - Alpana Waghmare
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Washington, Seattle Children’s Hospital, Seattle, WA, United States,Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Joshua Wolf
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Rosemary Olivero
- Section of Infectious Diseases, Department of Pediatrics and Human Development, Helen DeVos Children's Hospital of Spectrum Health, Michigan State College of Human Medicine, Grand Rapids, MI, United States
| | - Steven Grapentine
- Department of Pharmacy, UCSF Benioff Children’s Hospital, San Francisco, CA, United States
| | - Rachel L Wattier
- Division of Infectious Diseases and Global Health, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Laura Bio
- Department of Pharmacy, Lucile Packard Children’s Hospital Stanford, Stanford, United States
| | - Shane J Cross
- Department of Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Nicholas O Dillman
- Department of Pharmacy, CS Mott Children’s Hospital, Ann Arbor, MI, United States
| | - Kevin J Downes
- Division of Infectious Diseases, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Carlos R Oliveira
- Yale University School of Medicine, Yale University, New Haven, CT, United States
| | | | - Jennifer Young
- Department of Pharmacy, St. Louis Children’s Hospital, St. Louis, MO, United States
| | - Rachel C Orscheln
- Division of Infectious Diseases, Department of Pediatrics, Washington University and St. Louis Children’s Hospital, St. Louis, MO, United States
| | - Pranita D Tamma
- Division of Infectious Diseases, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Hayden T Schwenk
- Division of Infectious Diseases, Department of Pediatrics, Stanford University School of Medicine & Lucile Packard Children’s Hospital Stanford, Stanford, CA, United States
| | - Philip Zachariah
- Division of Infectious Diseases, Department of Pediatrics, Columbia University, New York, NY, United States
| | - Margaret L Aldrich
- Division of Infectious Diseases, Department of Pediatrics, Children’s Hospital at Montefiore, New York, NY, United States
| | - David L Goldman
- Division of Infectious Diseases, Department of Pediatrics, Children’s Hospital at Montefiore, New York, NY, United States
| | - Helen E Groves
- Division of Infectious Diseases, Department of Pediatrics, Hospital for Sick Children, Toronto, Canada
| | - Nipunie S Rajapakse
- Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, United States
| | - Gabriella S Lamb
- Division of Infectious Diseases, Department of Pediatrics, Boston Children’s Hospital, Boston, MA, United States
| | - Alison C Tribble
- Department of Pediatrics, Division of Infectious Diseases, University of Michigan and CS Mott Children’s Hospital, Ann Arbor, MI, United States
| | - Adam L Hersh
- Division of Infectious Diseases, Department of Pediatrics, University of Utah and Primary Children’s Hospital, Salt Lake City, UT, United States
| | - Emily A Thorell
- Division of Infectious Diseases, Department of Pediatrics, University of Utah and Primary Children’s Hospital, Salt Lake City, UT, United States
| | - Mark R Denison
- Division of Infectious Diseases, Department of Pediatrics, Vanderbilt University and Monroe Carell Jr. Children’s Hospital, Nashville, TN, United States
| | - Adam J Ratner
- Division of Infectious Diseases, Department of Pediatrics, New York University Grossman School of Medicine and Hassenfeld Children’s Hospital, New York, NY, United States,Department of Microbiology, New York University Grossman School of Medicine, New York, NY, United States
| | - Jason G Newland
- Division of Infectious Diseases, Department of Pediatrics, Washington University and St. Louis Children’s Hospital, St. Louis, MO, United States
| | - Mari M Nakamura
- Antimicrobial Stewardship Program, Boston Children’s Hospital, Boston, MA, United States,Division of Infectious Diseases, Department of Pediatrics, Boston Children’s Hospital, Boston, MA, United States,Alternate Corresponding Author: Mari M. Nakamura, MD, MPH, Antimicrobial Stewardship Program, Boston Children’s Hospital, 300 Longwood Avenue, Mailstop BCH 3052, Boston, MA 02115, 617-355-1561,
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564
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Aragão MT, dos Santos EL, Ataide TD, Alves JS, Aragão NVBT. COVID-19 presenting as an exanthematic disease: a case report. Rev Soc Bras Med Trop 2020; 53:e20200533. [PMID: 32935788 PMCID: PMC7491557 DOI: 10.1590/0037-8682-0533-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 08/03/2020] [Indexed: 01/10/2023] Open
Abstract
Coronavirus disease (COVID-19) is caused by SARS-CoV-2 and has spread rapidly and caused a global pandemic. Knowledge about clinical and laboratory manifestations in the pediatric population is necessary to guide and monitor such patients. A 3-year-old female patient diagnosed with COVID-19 presented with high fever. After defervescence, she experienced a maculopapular rash that worsened by the sixth day of the disease with self-limited evolution without relevant laboratory changes. The identification of rashes in children with COVID-19 is an unusual and important condition that must be recognized in view of the high transmissibility shown.
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Affiliation(s)
| | | | | | - José Seabra Alves
- Universidade Tiradentes, Departamento de Medicina, Aracaju, SE, Brasil
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565
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Huang B, Ling R, Cheng Y, Wen J, Dai Y, Huang W, Zhang S, Lu X, Luo Y, Jiang YZ. Characteristics of the Coronavirus Disease 2019 and related Therapeutic Options. Mol Ther Methods Clin Dev 2020; 18:367-375. [PMID: 32665963 PMCID: PMC7311344 DOI: 10.1016/j.omtm.2020.06.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The coronavirus disease 2019 (COVID-19) is a new type of pneumonia caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. COVID-19 is affecting millions of patients, and the infected number keeps increasing. SARS-CoV-2 is highly infectious, has a long incubation period, and causes a relatively high death rate, resulting in severe health problems all over the world. Currently there is no effective proven drug for the treatment of COVID-19; therefore, development of effective therapeutic drugs to suppress SARS-CoV-2 infection is urgently needed. In this review, we first summarize the structure and genome features of SARS-CoV-2 and introduce its infection and replication process. Then, we review the clinical symptoms, diagnosis, and treatment options of COVID-19 patients. We further discuss the potential molecular targets and drug development strategies for treatment of the emerging COVID-19. Finally, we summarize clinical trials of some potential therapeutic drugs and the results of vaccine development. This review provides some insights for the treatment of COVID-19.
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Affiliation(s)
- Boxuan Huang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Rongsong Ling
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Yifan Cheng
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Jieqi Wen
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Yarong Dai
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Wenjie Huang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Siyan Zhang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Xifeng Lu
- Department of Physiology, Shenzhen University Health Science Center, Shenzhen Key Laboratory of Metabolism and Cardiovascular Homeostasis, Shenzhen University, Shenzhen 518071, China
| | - Yifeng Luo
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Yi-Zhou Jiang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
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566
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Insufficient hyperfibrinolysis in COVID-19: a systematic review of thrombolysis based on meta-analysis and meta-regression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020. [PMID: 32935113 DOI: 10.1101/2020.09.07.20190165] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background How aberrant fibrinolysis influences the clinical progression of COVID-19 presents a clinicopathological dilemma challenging intensivists. To investigate whether abnormal fibrinolysis is a culprit or protector or both, we associated elevated plasma D-dimer with clinical variables to identify a panoramic view of the derangements of fibrinolysis that contribute to the pathogenesis of COVID-19 based on studies available in the literature. Methods We performed this systematic review based on both meta-analysis and meta-regression to compute the correlation of D-dimer at admission with clinical features of COVID-19 patients in retrospective studies or case series. We searched the databases until Aug 18, 2020, with no limitations by language. The first hits were screened, data extracted, and analyzed in duplicate. We did the random-effects meta-analyses and meta-regressions (both univariate and multivariate). D-dimer associated clinical variables and potential mechanisms were schematically reasoned and graphed. Findings Our search identified 42 observational, or retrospective, or case series from six countries (n=14,862 patients) with all races and ages from 1 to 98-year-old. The weighted mean difference of D-dimer was 0.97 μg/mL (95% CI 0.65, 1.29) between relatively mild (or healthy control) and severely affected groups with significant publication bias. Univariate meta-regression identified 58 of 106 clinical variables were associated with plasma D-dimer levels, including 3 demographics, 5 comorbidies, 22 laboratory tests, 18 organ injury biomarkers, 8 severe complications, and 2 outcomes (discharge and death). Of these, 11 readouts were negatively associated with the level of plasma D-dimer. Further, age and gender were confounding factors for the identified D-dimer associated variables. There were 22 variables independently correlated with the D-dimer level, including respiratory rate, dyspnea plasma K+, glucose, SpO2, BUN, bilirubin, ALT, AST, systolic blood pressure, and CK. We thus propose that "insufficient hyperfibrinolysis (fibrinolysis is accelerated but unable to prevent adverse clinical impact for clinical deterioration COVID-19)" as a peculiar mechanism. Interpretation The findings of this meta-analysis- and meta-regression-based systematic review supports elevated D-dimer as an independent predictor for mortality and severe complications. D-dimer-associated clinical variables draw a landscape integrating the aggregate effects of systemically suppressive and locally (i.e., in the lung) hyperactive derangements of fibrinolysis. D-dimer and associated clinical biomarkers and conceptually parameters could be combined for risk stratification, potentially for tracking thrombolytic therapy or alternative interventions.
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567
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Huang B, Ling R, Cheng Y, Wen J, Dai Y, Huang W, Zhang S, Lu X, Luo Y, Jiang YZ. Characteristics of the Coronavirus Disease 2019 and related Therapeutic Options. Mol Ther Methods Clin Dev 2020. [PMID: 32665963 DOI: 10.1016/2fj.omtm.2020.06.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
The coronavirus disease 2019 (COVID-19) is a new type of pneumonia caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. COVID-19 is affecting millions of patients, and the infected number keeps increasing. SARS-CoV-2 is highly infectious, has a long incubation period, and causes a relatively high death rate, resulting in severe health problems all over the world. Currently there is no effective proven drug for the treatment of COVID-19; therefore, development of effective therapeutic drugs to suppress SARS-CoV-2 infection is urgently needed. In this review, we first summarize the structure and genome features of SARS-CoV-2 and introduce its infection and replication process. Then, we review the clinical symptoms, diagnosis, and treatment options of COVID-19 patients. We further discuss the potential molecular targets and drug development strategies for treatment of the emerging COVID-19. Finally, we summarize clinical trials of some potential therapeutic drugs and the results of vaccine development. This review provides some insights for the treatment of COVID-19.
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Affiliation(s)
- Boxuan Huang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Rongsong Ling
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Yifan Cheng
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Jieqi Wen
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Yarong Dai
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Wenjie Huang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Siyan Zhang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
| | - Xifeng Lu
- Department of Physiology, Shenzhen University Health Science Center, Shenzhen Key Laboratory of Metabolism and Cardiovascular Homeostasis, Shenzhen University, Shenzhen 518071, China
| | - Yifeng Luo
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Yi-Zhou Jiang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518052, Guangdong, China
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568
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Witkowska D. Mass Spectrometry and Structural Biology Techniques in the Studies on the Coronavirus-Receptor Interaction. Molecules 2020; 25:E4133. [PMID: 32927621 PMCID: PMC7571139 DOI: 10.3390/molecules25184133] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 09/01/2020] [Accepted: 09/09/2020] [Indexed: 12/15/2022] Open
Abstract
Mass spectrometry and some other biophysical methods, have made substantial contributions to the studies on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and human proteins interactions. The most interesting feature of SARS-CoV-2 seems to be the structure of its spike (S) protein and its interaction with the human cell receptor. Mass spectrometry of spike S protein revealed how the glycoforms are distributed across the S protein surface. X-ray crystallography and cryo-electron microscopy made huge impact on the studies on the S protein and ACE2 receptor protein interaction, by elucidating the three-dimensional structures of these proteins and their conformational changes. The findings of the most recent studies in the scope of SARS-CoV-2-Human protein-protein interactions are described here.
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MESH Headings
- Amino Acid Sequence
- Angiotensin-Converting Enzyme 2
- Betacoronavirus/chemistry
- Betacoronavirus/pathogenicity
- Binding Sites
- COVID-19
- Coronavirus Infections/epidemiology
- Coronavirus Infections/virology
- Gene Expression
- Host-Pathogen Interactions
- Humans
- Models, Molecular
- Pandemics
- Peptidyl-Dipeptidase A/chemistry
- Peptidyl-Dipeptidase A/genetics
- Peptidyl-Dipeptidase A/metabolism
- Pneumonia, Viral/epidemiology
- Pneumonia, Viral/virology
- Protein Binding
- Protein Conformation, alpha-Helical
- Protein Conformation, beta-Strand
- Protein Interaction Domains and Motifs
- Receptors, Virus/chemistry
- Receptors, Virus/genetics
- Receptors, Virus/metabolism
- Severe acute respiratory syndrome-related coronavirus/chemistry
- Severe acute respiratory syndrome-related coronavirus/pathogenicity
- SARS-CoV-2
- Sequence Alignment
- Severe Acute Respiratory Syndrome/epidemiology
- Severe Acute Respiratory Syndrome/virology
- Spike Glycoprotein, Coronavirus/chemistry
- Spike Glycoprotein, Coronavirus/genetics
- Spike Glycoprotein, Coronavirus/metabolism
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Affiliation(s)
- Danuta Witkowska
- Institute of Health Sciences, Opole University, Katowicka 68, 45-060 Opole, Poland
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569
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Wang Z, Broccardo M, Mignan A, Sornette D. The dynamics of entropy in the COVID-19 outbreaks. NONLINEAR DYNAMICS 2020; 101:1847-1869. [PMID: 32929304 PMCID: PMC7480665 DOI: 10.1007/s11071-020-05871-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 07/31/2020] [Indexed: 05/22/2023]
Abstract
With the unfolding of the COVID-19 pandemic, mathematical modelling of epidemics has been perceived and used as a central element in understanding, predicting, and governing the pandemic event. However, soon it became clear that long-term predictions were extremely challenging to address. In addition, it is still unclear which metric shall be used for a global description of the evolution of the outbreaks. Yet a robust modelling of pandemic dynamics and a consistent choice of the transmission metric is crucial for an in-depth understanding of the macroscopic phenomenology and better-informed mitigation strategies. In this study, we propose a Markovian stochastic framework designed for describing the evolution of entropy during the COVID-19 pandemic together with the instantaneous reproductive ratio. Then, we introduce and use entropy-based metrics of global transmission to measure the impact and the temporal evolution of a pandemic event. In the formulation of the model, the temporal evolution of the outbreak is modelled by an equation governing the probability distribution that describes a nonlinear Markov process of a statistically averaged individual, leading to a clear physical interpretation. The time-dependent parameters are formulated by adaptive basis functions, leading to a parsimonious representation. In addition, we provide a full Bayesian inversion scheme for calibration together with a coherent strategy to address data unreliability. The time evolution of the entropy rate, the absolute change in the system entropy, and the instantaneous reproductive ratio are natural and transparent outputs of this framework. The framework has the appealing property of being applicable to any compartmental epidemic model. As an illustration, we apply the proposed approach to a simple modification of the susceptible-exposed-infected-removed model. Applying the model to the Hubei region, South Korean, Italian, Spanish, German, and French COVID-19 datasets, we discover significant difference in the absolute change of entropy but highly regular trends for both the entropy evolution and the instantaneous reproductive ratio.
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Affiliation(s)
- Ziqi Wang
- Earthquake Engineering Research and Test Center, Guangzhou University, Guangzhou, China
| | - Marco Broccardo
- Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento, Italy
- Institute for Risk and Uncertainties, University of Liverpool, Liverpool, UK
| | - Arnaud Mignan
- Institute of Risk Analysis, Prediction and Management, Southern University of Science and Technology, Shenzhen, China
- Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Didier Sornette
- Institute of Risk Analysis, Prediction and Management, Southern University of Science and Technology, Shenzhen, China
- Chair of Entrepreneurial Risks, Department of Management, Technology, and Economics, ETH Zürich, Zurich, Switzerland
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570
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Wu SL, Mertens AN, Crider YS, Nguyen A, Pokpongkiat NN, Djajadi S, Seth A, Hsiang MS, Colford JM, Reingold A, Arnold BF, Hubbard A, Benjamin-Chung J. Substantial underestimation of SARS-CoV-2 infection in the United States. Nat Commun 2020; 11:4507. [PMID: 32908126 PMCID: PMC7481226 DOI: 10.1038/s41467-020-18272-4] [Citation(s) in RCA: 250] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/13/2020] [Indexed: 11/22/2022] Open
Abstract
Accurate estimates of the burden of SARS-CoV-2 infection are critical to informing pandemic response. Confirmed COVID-19 case counts in the U.S. do not capture the total burden of the pandemic because testing has been primarily restricted to individuals with moderate to severe symptoms due to limited test availability. Here, we use a semi-Bayesian probabilistic bias analysis to account for incomplete testing and imperfect diagnostic accuracy. We estimate 6,454,951 cumulative infections compared to 721,245 confirmed cases (1.9% vs. 0.2% of the population) in the United States as of April 18, 2020. Accounting for uncertainty, the number of infections during this period was 3 to 20 times higher than the number of confirmed cases. 86% (simulation interval: 64-99%) of this difference is due to incomplete testing, while 14% (0.3-36%) is due to imperfect test accuracy. The approach can readily be applied in future studies in other locations or at finer spatial scale to correct for biased testing and imperfect diagnostic accuracy to provide a more realistic assessment of COVID-19 burden.
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Affiliation(s)
- Sean L Wu
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Andrew N Mertens
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Yoshika S Crider
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
- Energy and Resources Group, University of California, 310 Barrows Hall, Berkeley, CA, 94720-3050, USA
| | - Anna Nguyen
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Nolan N Pokpongkiat
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Stephanie Djajadi
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Anmol Seth
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Michelle S Hsiang
- Department of Pediatrics, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-9003, USA
- Pandemic Community Response and Resilience Initiative, Global Health Group, University of California, San Francisco, Mission Hall, Box 1224, 550 16th Street, Third Floor, San Francisco, CA, 94158, USA
- Department of Pediatrics, University of California, San Francisco 550 16th Street, Box 0110, San Francisco, CA, 94143, USA
| | - John M Colford
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Art Reingold
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Benjamin F Arnold
- Francis I. Proctor Foundation, University of California, San Francisco 95 Kirkham Street, San Francisco, CA, 94143, USA
- Department of Ophthalmology, University of California, San Francisco 10 Koret Way, San Francisco, CA, 94143-0730, USA
| | - Alan Hubbard
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA
| | - Jade Benjamin-Chung
- Division of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720-7360, USA.
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571
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Kaushik S, Ahluwalia N, Gangadharan S, Esperenza M, Murthy R, Ofori-Amanfo G, Aydin SI. ECMO support in SARS-CoV2 multisystem inflammatory syndrome in children in a child. Perfusion 2020; 36:524-528. [DOI: 10.1177/0267659120954386] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
In this report, we describe the case of a 5-year-old male with SARS-CoV-2 associated MIS-C with progressive respiratory failure and vasoplegic shock requiring extracorporeal support. At presentation, reverse transcription-polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 was negative, however, SARS-CoV2 antibody testing was positive. Multiple inflammatory markers and cardiac biomarkers were elevated. Echocardiogram demonstrated mildly depressed left ventricular function and no coronary anomalies noted. The patient required mechanical ventilation, vasopressors, and eventually extracorporeal membrane oxygenation (ECMO) for profound circulatory shock and progressive respiratory failure. During his clinical course, recovery of cardiac function was demonstrated however, a middle cerebral artery infarct and left frontal subarachnoid hemorrhage was suffered which ultimately the patient succumbed to. To the best of our knowledge, this is the youngest previously healthy child who had multi-system hyperinflammatory syndrome requiring ECMO support and the first case of SARS-CoV-2 related pediatric stroke. Clinical Trial Registration: None
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Affiliation(s)
- Shubhi Kaushik
- Department of Pediatrics, Division of Critical Care Medicine, Kravis Children’s Hospital at Mount Sinai, New York, USA
| | - Neha Ahluwalia
- Department of Pediatrics, Division of Pediatric cardiology, Kravis Children’s Hospital at Mount Sinai, New York, USA
| | - Sandeep Gangadharan
- Department of Pediatrics, Division of Critical Care Medicine, Kravis Children’s Hospital at Mount Sinai, New York, USA
| | - Maria Esperenza
- Department of Pediatrics, Division of Critical Care Medicine, Kravis Children’s Hospital at Mount Sinai, New York, USA
| | - Raghav Murthy
- Division of Cardiovascular Surgery, Kravis Children’s Hospital at Mount Sinai, New York, USA
| | - George Ofori-Amanfo
- Department of Pediatrics, Division of Critical Care Medicine, Kravis Children’s Hospital at Mount Sinai, New York, USA
| | - Scott I Aydin
- Department of Pediatrics, Division of Critical Care Medicine, Kravis Children’s Hospital at Mount Sinai, New York, USA
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572
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Chang MC, Lee W, Hur J, Park D. Chest Computed Tomography Findings in Asymptomatic Patients with COVID-19. Respiration 2020; 99:748-754. [PMID: 32894853 PMCID: PMC7573893 DOI: 10.1159/000509334] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/10/2020] [Accepted: 06/10/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Little is known about the damage to the respiratory system in asymptomatic patients with coronavirus disease (COVID-19). OBJECTIVE Herein, we evaluate the findings of chest computed tomography (CT) and radiography in patients with COVID-19 who were asymptomatic. METHODS We retrospectively investigated patients with a confirmed diagnosis of COVID-19 but who did not show any symptoms. Among the 139 patients with COVID-19 who were hospitalized in Yeungnam University Hopistal in Daegu, South Korea, 10 (7.2%) were asymptomatic. Their chest CT and radiographic findings were analyzed. RESULTS In the results, all patients (100%) had ground-glass opacity (GGO) on chest CT. Further, the GGO lesions were predominantly distributed peripherally and posteriorly in all patients. In 9 (90%) patients, the GGO lesions were combined with reticular opacity. Air bronchogram due to bronchiolectasis surrounded by GGO was observed in 8 patients (80%). Additionally, the lung lesions were dominant on the right side in all patients. CONCLUSIONS In conclusion, considering our results that the lung is affected in asymptomatic patients, it will be necessary to extend the indications of COVID-19 testing for effective management of COVID-19 during the pandemic.
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Affiliation(s)
- Min Cheol Chang
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Wonho Lee
- Department of Radiology, Topspine Hospital, Daegu, Republic of Korea
| | - Jian Hur
- Department of Infectious Disease Internal Medicine, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Donghwi Park
- Department of Physical Medicine and Rehabilitation, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
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573
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Qiao MY, Chen N, Zou X, Mao DH, Cui HT, Li WB, Miao JK, Chen QX. How to Early Identify and Prevent the SARS-CoV-2 Infection in Children for Families? Front Pediatr 2020; 8:542. [PMID: 33014936 PMCID: PMC7498538 DOI: 10.3389/fped.2020.00542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 07/28/2020] [Indexed: 01/08/2023] Open
Abstract
Importance: COVID-19 has become a worldwide pandemic. Many countries have reported cases of infection in children and newborns, and there is a trend of significantly increasing infections among these populations. Therefore, it is important to provide advice and guidance for the prevention and control of COVID-19 in children. Observations: Children are as susceptible to SARS-CoV-2 infection as adults. The manifestations in children are atypical, and children are much less likely to have critical cases. If children are infected, they may play an important role in the spread of SARS-CoV-2 because their symptoms are less obvious and less likely to be detected. To prevent COVID-19 from spreading among children, efforts to prevent, and control the infection should be increased by controlling the source of infection, blocking the route of transmission and protecting the susceptible population. Conclusions and Relevance: The early identification of the COVID-19 in children and the protection of families are important measures to prevent the continued spread of SARS-CoV-2.
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Affiliation(s)
- Meng-Yuan Qiao
- Department of Neonates, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Na Chen
- China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, China
| | - Xian Zou
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
| | - Dan-Hua Mao
- National Clinical Research Center for Child Health and Disorders, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Hong-Tao Cui
- Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Wei-Bin Li
- Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Jing-Kun Miao
- Chongqing Maternal and Child Health Care Hospital, Chongqing, China
| | - Qi-Xiong Chen
- Department of Neonates, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
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574
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Rees EM, Nightingale ES, Jafari Y, Waterlow NR, Clifford S, B Pearson CA, Group CW, Jombart T, Procter SR, Knight GM. COVID-19 length of hospital stay: a systematic review and data synthesis. BMC Med 2020; 18:270. [PMID: 32878619 DOI: 10.1101/2020.04.30.20084780v3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 07/30/2020] [Indexed: 05/23/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has placed an unprecedented strain on health systems, with rapidly increasing demand for healthcare in hospitals and intensive care units (ICUs) worldwide. As the pandemic escalates, determining the resulting needs for healthcare resources (beds, staff, equipment) has become a key priority for many countries. Projecting future demand requires estimates of how long patients with COVID-19 need different levels of hospital care. METHODS We performed a systematic review of early evidence on length of stay (LoS) of patients with COVID-19 in hospital and in ICU. We subsequently developed a method to generate LoS distributions which combines summary statistics reported in multiple studies, accounting for differences in sample sizes. Applying this approach, we provide distributions for total hospital and ICU LoS from studies in China and elsewhere, for use by the community. RESULTS We identified 52 studies, the majority from China (46/52). Median hospital LoS ranged from 4 to 53 days within China, and 4 to 21 days outside of China, across 45 studies. ICU LoS was reported by eight studies-four each within and outside China-with median values ranging from 6 to 12 and 4 to 19 days, respectively. Our summary distributions have a median hospital LoS of 14 (IQR 10-19) days for China, compared with 5 (IQR 3-9) days outside of China. For ICU, the summary distributions are more similar (median (IQR) of 8 (5-13) days for China and 7 (4-11) days outside of China). There was a visible difference by discharge status, with patients who were discharged alive having longer LoS than those who died during their admission, but no trend associated with study date. CONCLUSION Patients with COVID-19 in China appeared to remain in hospital for longer than elsewhere. This may be explained by differences in criteria for admission and discharge between countries, and different timing within the pandemic. In the absence of local data, the combined summary LoS distributions provided here can be used to model bed demands for contingency planning and then updated, with the novel method presented here, as more studies with aggregated statistics emerge outside China.
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Affiliation(s)
- Eleanor M Rees
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.
| | - Emily S Nightingale
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Yalda Jafari
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Naomi R Waterlow
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Samuel Clifford
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Carl A B Pearson
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, Republic of South Africa
| | - Cmmid Working Group
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Thibaut Jombart
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
- UK Public Health Rapid Support Team, London, UK
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College, London, UK
| | - Simon R Procter
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Gwenan M Knight
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
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575
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Rees EM, Nightingale ES, Jafari Y, Waterlow NR, Clifford S, B Pearson CA, Group CW, Jombart T, Procter SR, Knight GM. COVID-19 length of hospital stay: a systematic review and data synthesis. BMC Med 2020; 18:270. [PMID: 32878619 PMCID: PMC7467845 DOI: 10.1186/s12916-020-01726-3] [Citation(s) in RCA: 337] [Impact Index Per Article: 67.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 07/30/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has placed an unprecedented strain on health systems, with rapidly increasing demand for healthcare in hospitals and intensive care units (ICUs) worldwide. As the pandemic escalates, determining the resulting needs for healthcare resources (beds, staff, equipment) has become a key priority for many countries. Projecting future demand requires estimates of how long patients with COVID-19 need different levels of hospital care. METHODS We performed a systematic review of early evidence on length of stay (LoS) of patients with COVID-19 in hospital and in ICU. We subsequently developed a method to generate LoS distributions which combines summary statistics reported in multiple studies, accounting for differences in sample sizes. Applying this approach, we provide distributions for total hospital and ICU LoS from studies in China and elsewhere, for use by the community. RESULTS We identified 52 studies, the majority from China (46/52). Median hospital LoS ranged from 4 to 53 days within China, and 4 to 21 days outside of China, across 45 studies. ICU LoS was reported by eight studies-four each within and outside China-with median values ranging from 6 to 12 and 4 to 19 days, respectively. Our summary distributions have a median hospital LoS of 14 (IQR 10-19) days for China, compared with 5 (IQR 3-9) days outside of China. For ICU, the summary distributions are more similar (median (IQR) of 8 (5-13) days for China and 7 (4-11) days outside of China). There was a visible difference by discharge status, with patients who were discharged alive having longer LoS than those who died during their admission, but no trend associated with study date. CONCLUSION Patients with COVID-19 in China appeared to remain in hospital for longer than elsewhere. This may be explained by differences in criteria for admission and discharge between countries, and different timing within the pandemic. In the absence of local data, the combined summary LoS distributions provided here can be used to model bed demands for contingency planning and then updated, with the novel method presented here, as more studies with aggregated statistics emerge outside China.
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Affiliation(s)
- Eleanor M Rees
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.
| | - Emily S Nightingale
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Yalda Jafari
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Naomi R Waterlow
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Samuel Clifford
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Carl A B Pearson
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, Republic of South Africa
| | - Cmmid Working Group
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Thibaut Jombart
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
- UK Public Health Rapid Support Team, London, UK
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College, London, UK
| | - Simon R Procter
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Gwenan M Knight
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
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576
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Rees EM, Nightingale ES, Jafari Y, Waterlow NR, Clifford S, B Pearson CA, Group CW, Jombart T, Procter SR, Knight GM. COVID-19 length of hospital stay: a systematic review and data synthesis. BMC Med 2020; 18:270. [PMID: 32878619 DOI: 10.1101/2020.04.30.20084780] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 07/30/2020] [Indexed: 05/21/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has placed an unprecedented strain on health systems, with rapidly increasing demand for healthcare in hospitals and intensive care units (ICUs) worldwide. As the pandemic escalates, determining the resulting needs for healthcare resources (beds, staff, equipment) has become a key priority for many countries. Projecting future demand requires estimates of how long patients with COVID-19 need different levels of hospital care. METHODS We performed a systematic review of early evidence on length of stay (LoS) of patients with COVID-19 in hospital and in ICU. We subsequently developed a method to generate LoS distributions which combines summary statistics reported in multiple studies, accounting for differences in sample sizes. Applying this approach, we provide distributions for total hospital and ICU LoS from studies in China and elsewhere, for use by the community. RESULTS We identified 52 studies, the majority from China (46/52). Median hospital LoS ranged from 4 to 53 days within China, and 4 to 21 days outside of China, across 45 studies. ICU LoS was reported by eight studies-four each within and outside China-with median values ranging from 6 to 12 and 4 to 19 days, respectively. Our summary distributions have a median hospital LoS of 14 (IQR 10-19) days for China, compared with 5 (IQR 3-9) days outside of China. For ICU, the summary distributions are more similar (median (IQR) of 8 (5-13) days for China and 7 (4-11) days outside of China). There was a visible difference by discharge status, with patients who were discharged alive having longer LoS than those who died during their admission, but no trend associated with study date. CONCLUSION Patients with COVID-19 in China appeared to remain in hospital for longer than elsewhere. This may be explained by differences in criteria for admission and discharge between countries, and different timing within the pandemic. In the absence of local data, the combined summary LoS distributions provided here can be used to model bed demands for contingency planning and then updated, with the novel method presented here, as more studies with aggregated statistics emerge outside China.
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Affiliation(s)
- Eleanor M Rees
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.
| | - Emily S Nightingale
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Yalda Jafari
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Naomi R Waterlow
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Samuel Clifford
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Carl A B Pearson
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, Republic of South Africa
| | - Cmmid Working Group
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Thibaut Jombart
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
- UK Public Health Rapid Support Team, London, UK
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College, London, UK
| | - Simon R Procter
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Gwenan M Knight
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
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577
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COVID-19 in Children: Clinical Characteristics and Follow-Up Study. SN COMPREHENSIVE CLINICAL MEDICINE 2020; 2:1713-1716. [PMID: 32895639 PMCID: PMC7467756 DOI: 10.1007/s42399-020-00502-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 08/28/2020] [Indexed: 12/23/2022]
Abstract
Since December 2019, the coronavirus disease 2019 (COVID-19) has spread globally. But the clinical symptoms and detailed follow-up of children with COVID-19 infection are lacking. Here, we conducted a retrospective study including children with confirmed COVID-19. We recorded patients’ epidemiological, clinical features, and follow-up data after discharging in order to improve the awareness and treatment of children with COVID-19.
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578
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McCulloch M, Abugrain K, Mosalakatane T, Coetzee A, Webb K, Scott C. Peritoneal dialysis for treatment of acute kidney injury in a case of paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2. Perit Dial Int 2020; 40:515-517. [PMID: 32875970 DOI: 10.1177/0896860820953716] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
This short report describes the case discussion of 9-year-old patient with acute kidney injury due to paediatric inflammatory multisystem syndrome temporally associated with severe acute respiratory syndrome coronavirus 2 with successful peritoneal dialysis via a peritoneal dialysis catheter inserted at the bedside in an intensive care setting.
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Affiliation(s)
- Mignon McCulloch
- 63731Red Cross War Memorial Children's Hospital, Cape Town, South Africa
| | - Khadija Abugrain
- 63731Red Cross War Memorial Children's Hospital, Cape Town, South Africa
| | | | - Ashton Coetzee
- 63731Red Cross War Memorial Children's Hospital, Cape Town, South Africa
| | - Kate Webb
- 63731Red Cross War Memorial Children's Hospital, Cape Town, South Africa
| | - Christiaan Scott
- 63731Red Cross War Memorial Children's Hospital, Cape Town, South Africa
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579
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Cheng A, Hu L, Wang Y, Huang L, Zhao L, Zhang C, Liu X, Xu R, Liu F, Li J, Ye D, Wang T, Lv Y, Liu Q. Diagnostic performance of initial blood urea nitrogen combined with D-dimer levels for predicting in-hospital mortality in COVID-19 patients. Int J Antimicrob Agents 2020; 56:106110. [PMID: 32712332 PMCID: PMC7377803 DOI: 10.1016/j.ijantimicag.2020.106110] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/15/2020] [Accepted: 07/19/2020] [Indexed: 12/11/2022]
Abstract
The crude mortality rate in critical pneumonia cases with coronavirus disease 2019 (COVID-19) reaches 49%. This study aimed to test whether levels of blood urea nitrogen (BUN) in combination with D-dimer were predictors of in-hospital mortality in COVID-19 patients. The clinical characteristics of 305 COVID-19 patients were analysed and were compared between the survivor and non-survivor groups. Of the 305 patients, 85 (27.9%) died and 220 (72.1%) were discharged from hospital. Compared with discharged cases, non-survivor cases were older and their BUN and D-dimer levels were significantly higher (P < 0.0001). Least absolute shrinkage and selection operator (LASSO) and multivariable Cox regression analyses identified BUN and D-dimer levels as independent risk factors for poor prognosis. Kaplan-Meier analysis showed that elevated levels of BUN and D-dimer were associated with increased mortality (log-rank, P < 0.0001). The area under the curve for BUN combined with D-dimer was 0.94 (95% CI 0.90-0.97), with a sensitivity of 85% and specificity of 91%. Based on BUN and D-dimer levels on admission, a nomogram model was developed that showed good discrimination, with a concordance index of 0.94. Together, initial BUN and D-dimer levels were associated with mortality in COVID-19 patients. The combination of BUN ≥ 4.6 mmol/L and D-dimer ≥ 0.845 μg/mL appears to identify patients at high risk of in-hospital mortality, therefore it may prove to be a powerful risk assessment tool for severe COVID-19 patients.
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Affiliation(s)
- Anying Cheng
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liu Hu
- Department of Health Management Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yiru Wang
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Luyan Huang
- Department of Anesthesiology, Hanyang Branch, Wuhan Hospital of Traditional Chinese Medicine, Wuhan, China
| | - Lingxi Zhao
- Department of Health Management Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Congcong Zhang
- Department of Health Management Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiyue Liu
- Department of Health Management Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ranran Xu
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Liu
- Department of Urology, Central Hospital of Shaoyang, University of South China, Hengyang, China
| | - Jinping Li
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Dawei Ye
- Cancer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Wang
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yongman Lv
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Health Management Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Qingquan Liu
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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580
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Palabiyik F, Kokurcan SO, Hatipoglu N, Cebeci SO, Inci E. Imaging of COVID-19 pneumonia in children. Br J Radiol 2020; 93:20200647. [PMID: 32730110 PMCID: PMC7465849 DOI: 10.1259/bjr.20200647] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/07/2020] [Accepted: 07/10/2020] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE Literature related to the imaging of COVID-19 pneumonia, its findings and contribution to diagnosis and its differences from adults are limited in pediatric patients. The aim of this study was to evaluate chest X-ray and chest CT findings in children with COVID-19 pneumonia. METHODS Chest X-ray findings of 59 pediatric patients and chest CT findings of 22 patients with a confirmed diagnosis of COVID-19 pneumonia were evaluated retrospectively. RESULTS COVID-19 pneumonia was most commonly observed unilaterally and in lower zones of lungs in chest X-ray examinations. Bilateral and multifocal involvement (55%) was the most observed involvement in the CT examinations, as well as, single lesion and single lobe (27%) involvement were also detected. Pure ground-glass appearance was observed in 41%, ground-glass appearance and consolidation together was in 36%. While peripheral and central co-distribution of the lesions (55%) were frequently observed, the involvement of the lower lobes (69%) was significant. In four cases,the coexistence of multiple rounded multifocal ground-glass appearance and rounded consolidation were observed. CONCLUSION COVID-19 pneumonia imaging findings may differ in the pediatric population from adults. In diagnosis, chest X-ray should be preferred, CT should be requested if there is a pathologic finding on radiography that merits further evaluation and if clinically indicated. ADVANCES IN KNOWLEDGE Radiological findings of COVID-19 observed in children may differ from adults. Chest X-ray should often be sufficient in children avoiding additional irradiation, chest CT needs only be done in cases of clinical necessity.
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Affiliation(s)
- Figen Palabiyik
- Department of Pediatric Radiology, Health Science University, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Suna Ors Kokurcan
- Department of Radiology, Health Science University, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Nevin Hatipoglu
- Department of Pediatric Infection, Health Science University, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Sinem Oral Cebeci
- Department of Pediatric Infection, Health Science University, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Ercan Inci
- Department of Radiology, Health Science University, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
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Buitrago-Garcia D, Egli-Gany D, Counotte MJ, Hossmann S, Imeri H, Ipekci AM, Salanti G, Low N. Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis. PLoS Med 2020; 17:e1003346. [PMID: 32960881 DOI: 10.1101/2020.04.25.20079103] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 08/18/2020] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND There is disagreement about the level of asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We conducted a living systematic review and meta-analysis to address three questions: (1) Amongst people who become infected with SARS-CoV-2, what proportion does not experience symptoms at all during their infection? (2) Amongst people with SARS-CoV-2 infection who are asymptomatic when diagnosed, what proportion will develop symptoms later? (3) What proportion of SARS-CoV-2 transmission is accounted for by people who are either asymptomatic throughout infection or presymptomatic? METHODS AND FINDINGS We searched PubMed, Embase, bioRxiv, and medRxiv using a database of SARS-CoV-2 literature that is updated daily, on 25 March 2020, 20 April 2020, and 10 June 2020. Studies of people with SARS-CoV-2 diagnosed by reverse transcriptase PCR (RT-PCR) that documented follow-up and symptom status at the beginning and end of follow-up or modelling studies were included. One reviewer extracted data and a second verified the extraction, with disagreement resolved by discussion or a third reviewer. Risk of bias in empirical studies was assessed with an adapted checklist for case series, and the relevance and credibility of modelling studies were assessed using a published checklist. We included a total of 94 studies. The overall estimate of the proportion of people who become infected with SARS-CoV-2 and remain asymptomatic throughout infection was 20% (95% confidence interval [CI] 17-25) with a prediction interval of 3%-67% in 79 studies that addressed this review question. There was some evidence that biases in the selection of participants influence the estimate. In seven studies of defined populations screened for SARS-CoV-2 and then followed, 31% (95% CI 26%-37%, prediction interval 24%-38%) remained asymptomatic. The proportion of people that is presymptomatic could not be summarised, owing to heterogeneity. The secondary attack rate was lower in contacts of people with asymptomatic infection than those with symptomatic infection (relative risk 0.35, 95% CI 0.10-1.27). Modelling studies fit to data found a higher proportion of all SARS-CoV-2 infections resulting from transmission from presymptomatic individuals than from asymptomatic individuals. Limitations of the review include that most included studies were not designed to estimate the proportion of asymptomatic SARS-CoV-2 infections and were at risk of selection biases; we did not consider the possible impact of false negative RT-PCR results, which would underestimate the proportion of asymptomatic infections; and the database does not include all sources. CONCLUSIONS The findings of this living systematic review suggest that most people who become infected with SARS-CoV-2 will not remain asymptomatic throughout the course of the infection. The contribution of presymptomatic and asymptomatic infections to overall SARS-CoV-2 transmission means that combination prevention measures, with enhanced hand hygiene, masks, testing tracing, and isolation strategies and social distancing, will continue to be needed.
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Affiliation(s)
- Diana Buitrago-Garcia
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School of Health Sciences, University of Bern, Bern, Switzerland
| | - Dianne Egli-Gany
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Michel J Counotte
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Stefanie Hossmann
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Hira Imeri
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Aziz Mert Ipekci
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Georgia Salanti
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Nicola Low
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
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582
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Caro-Dominguez P, Shelmerdine SC, Toso S, Secinaro A, Toma P, Damasio MB, Navallas M, Riaza-Martin L, Gomez-Pastrana D, Ghadimi Mahani M, Desoky SM, Ugas Charcape CF, Almanza-Aranda J, Ucar ME, Lovrenski J, Gorkem SB, Alexopoulou E, Ciet P, van Schuppen J, Ducou le Pointe H, Goo HW, Kellenberger CJ, Raissaki M, Owens CM, Hirsch FW, van Rijn RR. Thoracic imaging of coronavirus disease 2019 (COVID-19) in children: a series of 91 cases. Pediatr Radiol 2020; 50:1354-1368. [PMID: 32749530 PMCID: PMC7399600 DOI: 10.1007/s00247-020-04747-5] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 05/14/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Pulmonary infection with SARS-CoV-2 virus (severe acute respiratory syndrome coronavirus 2; COVID-19) has rapidly spread worldwide to become a global pandemic. OBJECTIVE To collect paediatric COVID-19 cases worldwide and to summarize both clinical and imaging findings in children who tested positive on polymerase chain reaction testing for SARS-CoV-2. MATERIALS AND METHODS Data were collected by completion of a standardised case report form submitted to the office of the European Society of Paediatric Radiology from March 12 to April 8, 2020. Chest imaging findings in children younger than 18 years old who tested positive on polymerase chain reaction testing for SARS-CoV-2 were included. Representative imaging studies were evaluated by multiple senior paediatric radiologists from this group with expertise in paediatric chest imaging. RESULTS Ninety-one children were included (49 males; median age: 6.1 years, interquartile range: 1.0 to 13.0 years, range: 9 days-17 years). Most had mild symptoms, mostly fever and cough, and one-third had coexisting medical conditions. Eleven percent of children presented with severe symptoms and required intensive unit care. Chest radiographs were available in 89% of patients and 10% of them were normal. Abnormal chest radiographs showed mainly perihilar bronchial wall thickening (58%) and/or airspace consolidation (35%). Computed tomography (CT) scans were available in 26% of cases, with the most common abnormality being ground glass opacities (88%) and/or airspace consolidation (58%). Tree in bud opacities were seen in 6 of 24 CTs (25%). Lung ultrasound and chest magnetic resonance imaging were rarely utilized. CONCLUSION It seems unnecessary to perform chest imaging in children to diagnose COVID-19. Chest radiography can be used in symptomatic children to assess airway infection or pneumonia. CT should be reserved for when there is clinical concern to assess for possible complications, especially in children with coexisting medical conditions.
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Affiliation(s)
- Pablo Caro-Dominguez
- Unidad de Radiologia Pediatrica, Servicio de Radiologia, Hospital Universitario Virgen del Rocio, Avenida Manuel Siurot s/n, CP 41013, Sevilla, Spain.
| | - Susan Cheng Shelmerdine
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, NHS Trust, London, UK
- UCL Great Ormond Street Institute of Child Health, London, UK
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, NHS Trust, London, UK
| | - Seema Toso
- Department of Diagnostics, Pediatric Radiology, Geneva Children's Hospitals, Geneva, Switzerland
| | - Aurelio Secinaro
- Department of Imaging, IRCCS Ospedale Pediatrico Bambino Gesu, Rome, Italy
| | - Paolo Toma
- Department of Imaging, IRCCS Ospedale Pediatrico Bambino Gesu, Rome, Italy
| | | | - María Navallas
- Radiología Pediátrica, Servicio de Radiología, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Lucia Riaza-Martin
- Radiología Pediátrica, Servicio de Radiología, Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - David Gomez-Pastrana
- Neumología Pediátrica, Servicio de Pediatría, Hospital Universitario Jerez de la Frontera, Cádiz, Spain
| | - Maryam Ghadimi Mahani
- Section of Pediatric Radiology, C. S. Mott Children's Hospital, Department of Radiology, Michigan Medicine, Ann Arbor, MI, USA
| | - Sarah M Desoky
- Department of Medical Imaging, University of Arizona College of Medicine, Tucson, AZ, USA
| | | | - Judith Almanza-Aranda
- Imaging Department, Hospital Infantil de México Federico Gómez, Ciudad de México, Mexico
| | - Maria Elena Ucar
- Radiologia Pediatrica, Sor Maria Ludovica Children's Hospital, La Plata, Argentina
| | - Jovan Lovrenski
- Faculty of Medicine Novi Sad, University of Novi Sad, Institute for Children and Adolescents Health Care of Vojvodina, Novi Sad, Serbia
| | - Sureyya Burcu Gorkem
- Paediatric Radiology Section, Children's Hospital Department of Radiology, Kayseri, Turkey
| | - Efthymia Alexopoulou
- Paediatric Radiology, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Pierluigi Ciet
- Department of Radiology and Nuclear Medicine, Sophia Children's Hospital, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Joost van Schuppen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Hyun Woo Goo
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | | | - Maria Raissaki
- Department of Radiology, University Hospital of Heraklion, University of Crete, Crete, Greece
| | - Catherine M Owens
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, NHS Trust, London, UK
- Department of Clinical Radiology, Sidra Medicine, Doha, Qatar
| | | | - Rick R van Rijn
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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584
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Kim H, Hong H, Yoon SH. Diagnostic Performance of CT and Reverse Transcriptase Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis. Radiology 2020; 296:E145-E155. [PMID: 32301646 PMCID: PMC7233409 DOI: 10.1148/radiol.2020201343] [Citation(s) in RCA: 359] [Impact Index Per Article: 71.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background Recent studies have suggested that chest CT scans could be used as a primary screening or diagnostic tool for coronavirus disease 2019 (COVID-19) in epidemic areas. Purpose To perform a meta-analysis to evaluate diagnostic performance measures, including predictive values of chest CT and initial reverse transcriptase polymerase chain reaction (RT-PCR). Materials and Methods Medline and Embase were searched from January 1, 2020, to April 3, 2020, for studies on COVID-19 that reported the sensitivity, specificity, or both of CT scans, RT-PCR assays, or both. The pooled sensitivity and specificity were estimated by using random-effects models. The actual prevalence (ie, the proportion of confirmed patients among those tested) in eight countries was obtained from web sources, and the predictive values were calculated. Meta-regression was performed to reveal the effect of potential explanatory factors on the diagnostic performance measures. Results The pooled sensitivity was 94% (95% confidence interval [CI]: 91%, 96%; I2 = 95%) for chest CT and 89% (95% CI: 81%, 94%; I2 = 90%) for RT-PCR. The pooled specificity was 37% (95% CI: 26%, 50%; I2 = 83%) for chest CT. The prevalence of COVID-19 outside China ranged from 1.0% to 22.9%. For chest CT scans, the positive predictive value (PPV) ranged from 1.5% to 30.7%, and the negative predictive value (NPV) ranged from 95.4% to 99.8%. For RT-PCR, the PPV ranged from 47.3% to 96.4%, whereas the NPV ranged from 96.8% to 99.9%. The sensitivity of CT was affected by the distribution of disease severity, the proportion of patients with comorbidities, and the proportion of asymptomatic patients (all P < .05). The sensitivity of RT-PCR was negatively associated with the proportion of elderly patients (P = .01). Conclusion Outside of China where there is a low prevalence of coronavirus disease 2019 (range, 1%-22.9%), chest CT screening of patients with suspected disease had low positive predictive value (range, 1.5%-30.7%). © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
| | | | - Soon Ho Yoon
- From the Department of Radiology, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.K., S.H.Y.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (H.K., S.H.Y.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (H.H.)
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585
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Buitrago-Garcia D, Egli-Gany D, Counotte MJ, Hossmann S, Imeri H, Ipekci AM, Salanti G, Low N. Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis. PLoS Med 2020; 17:e1003346. [PMID: 32960881 PMCID: PMC7508369 DOI: 10.1371/journal.pmed.1003346] [Citation(s) in RCA: 636] [Impact Index Per Article: 127.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 08/18/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND There is disagreement about the level of asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We conducted a living systematic review and meta-analysis to address three questions: (1) Amongst people who become infected with SARS-CoV-2, what proportion does not experience symptoms at all during their infection? (2) Amongst people with SARS-CoV-2 infection who are asymptomatic when diagnosed, what proportion will develop symptoms later? (3) What proportion of SARS-CoV-2 transmission is accounted for by people who are either asymptomatic throughout infection or presymptomatic? METHODS AND FINDINGS We searched PubMed, Embase, bioRxiv, and medRxiv using a database of SARS-CoV-2 literature that is updated daily, on 25 March 2020, 20 April 2020, and 10 June 2020. Studies of people with SARS-CoV-2 diagnosed by reverse transcriptase PCR (RT-PCR) that documented follow-up and symptom status at the beginning and end of follow-up or modelling studies were included. One reviewer extracted data and a second verified the extraction, with disagreement resolved by discussion or a third reviewer. Risk of bias in empirical studies was assessed with an adapted checklist for case series, and the relevance and credibility of modelling studies were assessed using a published checklist. We included a total of 94 studies. The overall estimate of the proportion of people who become infected with SARS-CoV-2 and remain asymptomatic throughout infection was 20% (95% confidence interval [CI] 17-25) with a prediction interval of 3%-67% in 79 studies that addressed this review question. There was some evidence that biases in the selection of participants influence the estimate. In seven studies of defined populations screened for SARS-CoV-2 and then followed, 31% (95% CI 26%-37%, prediction interval 24%-38%) remained asymptomatic. The proportion of people that is presymptomatic could not be summarised, owing to heterogeneity. The secondary attack rate was lower in contacts of people with asymptomatic infection than those with symptomatic infection (relative risk 0.35, 95% CI 0.10-1.27). Modelling studies fit to data found a higher proportion of all SARS-CoV-2 infections resulting from transmission from presymptomatic individuals than from asymptomatic individuals. Limitations of the review include that most included studies were not designed to estimate the proportion of asymptomatic SARS-CoV-2 infections and were at risk of selection biases; we did not consider the possible impact of false negative RT-PCR results, which would underestimate the proportion of asymptomatic infections; and the database does not include all sources. CONCLUSIONS The findings of this living systematic review suggest that most people who become infected with SARS-CoV-2 will not remain asymptomatic throughout the course of the infection. The contribution of presymptomatic and asymptomatic infections to overall SARS-CoV-2 transmission means that combination prevention measures, with enhanced hand hygiene, masks, testing tracing, and isolation strategies and social distancing, will continue to be needed.
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Affiliation(s)
- Diana Buitrago-Garcia
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School of Health Sciences, University of Bern, Bern, Switzerland
| | - Dianne Egli-Gany
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Michel J. Counotte
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Stefanie Hossmann
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Hira Imeri
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Aziz Mert Ipekci
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Georgia Salanti
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Nicola Low
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
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586
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Wang H, Li X, Li T, Zhang S, Wang L, Wu X, Liu J. The genetic sequence, origin, and diagnosis of SARS-CoV-2. Eur J Clin Microbiol Infect Dis 2020; 39:1629-1635. [PMID: 32333222 PMCID: PMC7180649 DOI: 10.1007/s10096-020-03899-4] [Citation(s) in RCA: 285] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 04/07/2020] [Indexed: 02/06/2023]
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a new infectious disease that first emerged in Hubei province, China, in December 2019, which was found to be associated with a large seafood and animal market in Wuhan. Airway epithelial cells from infected patients were used to isolate a novel coronavirus, named the SARS-CoV-2, on January 12, 2020, which is the seventh member of the coronavirus family to infect humans. Phylogenetic analysis of full-length genome sequences obtained from infected patients showed that SARS-CoV-2 is similar to severe acute respiratory syndrome coronavirus (SARS-CoV) and uses the same cell entry receptor, angiotensin-converting enzyme 2 (ACE2), as SARS-CoV. The possible person-to-person disease rapidly spread to many provinces in China as well as other countries. Without a therapeutic vaccine or specific antiviral drugs, early detection and isolation become essential against novel Coronavirus. In this review, we introduced current diagnostic methods and criteria for the SARS-CoV-2 in China and discuss the advantages and limitations of the current diagnostic methods, including chest imaging and laboratory detection.
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Affiliation(s)
- Huihui Wang
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Xuemei Li
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Tao Li
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China.
- Key Laboratory of Anti-Inflammatory and Immune Medicine, Ministry of Education, Anhui Collaborative Innovation Center of Anti-inflammatory and Immune Medicine, Institute of Clinical Pharmacology, Anhui Medical University, No. 218 Jixi road, Shushan district, Hefei, Anhui, China.
| | - Shubing Zhang
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Lianzi Wang
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Xian Wu
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Jiaqing Liu
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
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587
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Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology 2020; 296:E156-E165. [PMID: 32339081 PMCID: PMC7233483 DOI: 10.1148/radiol.2020201491] [Citation(s) in RCA: 249] [Impact Index Per Article: 49.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intelligence (AI) system for differentiating COVID-19 and other pneumonia at chest CT and assessing radiologist performance without and with AI assistance. Materials and Methods A total of 521 patients with positive reverse transcription polymerase chain reaction results for COVID-19 and abnormal chest CT findings were retrospectively identified from 10 hospitals from January 2020 to April 2020. A total of 665 patients with non-COVID-19 pneumonia and definite evidence of pneumonia at chest CT were retrospectively selected from three hospitals between 2017 and 2019. To classify COVID-19 versus other pneumonia for each patient, abnormal CT slices were input into the EfficientNet B4 deep neural network architecture after lung segmentation, followed by a two-layer fully connected neural network to pool slices together. The final cohort of 1186 patients (132 583 CT slices) was divided into training, validation, and test sets in a 7:2:1 and equal ratio. Independent testing was performed by evaluating model performance in separate hospitals. Studies were blindly reviewed by six radiologists without and then with AI assistance. Results The final model achieved a test accuracy of 96% (95% confidence interval [CI]: 90%, 98%), a sensitivity of 95% (95% CI: 83%, 100%), and a specificity of 96% (95% CI: 88%, 99%) with area under the receiver operating characteristic curve of 0.95 and area under the precision-recall curve of 0.90. On independent testing, this model achieved an accuracy of 87% (95% CI: 82%, 90%), a sensitivity of 89% (95% CI: 81%, 94%), and a specificity of 86% (95% CI: 80%, 90%) with area under the receiver operating characteristic curve of 0.90 and area under the precision-recall curve of 0.87. Assisted by the probabilities of the model, the radiologists achieved a higher average test accuracy (90% vs 85%, Δ = 5, P < .001), sensitivity (88% vs 79%, Δ = 9, P < .001), and specificity (91% vs 88%, Δ = 3, P = .001). Conclusion Artificial intelligence assistance improved radiologists' performance in distinguishing coronavirus disease 2019 pneumonia from non-coronavirus disease 2019 pneumonia at chest CT. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
| | | | - Zeng Xiong
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Ben Hsieh
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Ken Chang
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Kasey Halsey
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Thi My Linh Tran
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Ji Whae Choi
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Dong-Cui Wang
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Lin-Bo Shi
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Ji Mei
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Xiao-Long Jiang
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Ian Pan
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Qiu-Hua Zeng
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Ping-Feng Hu
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Yi-Hui Li
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Fei-Xian Fu
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Raymond Y. Huang
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Ronnie Sebro
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Qi-Zhi Yu
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Michael K. Atalay
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
| | - Wei-Hua Liao
- From the Department of Radiology, Xiangya Hospital, Central South
University, Changsha, Hunan 410008, China (Z.X., D.W., W.L.); Perelman School of
Medicine at University of Pennsylvania, Philadelphia, Pennsylvania 19104 (R.W.);
Department of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode
Island, 02903, United States (H.X.B., B.H., K.H., I.P., M.K.A.); Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States (K.C.);
Warren Alpert Medical School at Brown University, Providence, Rhode Island,
02903, United States (H.X.B., K.H., T.M.L.T., J.W.C., I.P.); Department of
Radiology, Yongzhou Central Hospital, Yongzhou, Hunan, 425006, China (L.S.);
Department of Radiology, Changde Second People’s Hospital, Changde,
Hunan, 415001, China (J.M.); Department of Radiology, Affiliated Nan Hua
Hospital, University of South China, Hengyang, Hunan, 421002, China (X.J.);
Department of Radiology, Loudi Central Hospital, Loudi, Hunan, 417000, China
(Q.Z.); Department of Radiology, Chenzhou Second People’s Hospital,
Chenzhou, Hunan, 423000, China (P.H.); Department of Radiology, Zhuzhou Central
Hospital, Zhuzhou, Hunan, 412002, China (Y.L.); Department of Radiology, Yiyang
City Center Hospital, Yiyang, Hunan, 413000, China (F.F.); Department of
Radiology, Brigham and Women's Hospital, Boston, Massachusetts, 02115,
United States (R.Y.H.); Department of Radiology, Hospital of the University of
Pennsylvania, Philadelphia, Pennsylvania, 19104, United States (R.S.);
Department of Radiology, The First Hospital of Changsha, Changsha, Hunan,
410005, China (Q.Y.)
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588
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Zeng ML, Hong Y, Clunis J, He S, Coladangelo LP. Implications of Knowledge Organization Systems for Health Information Exchange and Communication during the COVID-19 Pandemic. DATA AND INFORMATION MANAGEMENT 2020; 4:148-170. [PMID: 35382097 PMCID: PMC8969569 DOI: 10.2478/dim-2020-0009] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 05/23/2020] [Indexed: 12/25/2022]
Abstract
This article aims to review the important roles of health knowledge organization systems (KOSs) during the COVID-19 pandemic. Different types of knowledge organization systems, including term lists, synonym rings, thesauri, subject heading systems, taxonomies, classification schemes, and ontologies are widely recognized and applied in both modern and traditional information systems. Apart from their usage in the management of data, information, and knowledge, KOSs are seen as valuable components for large information architecture, content management, findability improvement, and many other applications. After introducing the challenges of information overload and semantic conflicts, the article reviews the efforts of major health KOSs, illustrates various health coding schemes, explains their usages and implementations, and reveals their implications for health information exchange and communication during the COVID-19 pandemic. Some general examples of the applications, services, and analysis powered by KOSs are presented at the end. As revealed in this article, they have become even more critical to aid the frontline endeavors to overcome the obstacles due to information overload and semantic conflicts that can occur during devastating historic and worldwide events like the COVID-19 pandemic.
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Affiliation(s)
| | - Yi Hong
- Department of Product Development, DeepThink Health, Inc., Richmond, CA, USA
| | - Julaine Clunis
- School of Information, Kent State University, Kent, OH, USA
| | - Shaoyi He
- Department of Information and Decision Sciences, Jack H. Brown College of Business and Public Administration, California State University, San Bernardino, CA, USA
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589
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Liu C, He Y, Liu L, Li F, Shi Y. Children with COVID-19 behaving milder may challenge the public policies: a systematic review and meta-analysis. BMC Pediatr 2020; 20:410. [PMID: 32873269 PMCID: PMC7459157 DOI: 10.1186/s12887-020-02316-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The emerging virus is rampaging globally. A growing number of pediatric infected cases have been reported. Great efforts are needed to cut down the transmission. METHODS A single-arm meta-analysis was conducted. We searched PubMed, Google Scholar, Web of Science, and several Chinese databases for studies presenting characteristics of children confirmed with Coronavirus Disease 2019 (COVID-19) from December 12, 2019 to May 10, 2020. Quality Appraisal of Case Series Studies Checklist was used to assess quality and publication bias was analyzed by Egger's test. Random-effect model was used to calculate the pooled incidence rate (IR) or mean difference (MD) with 95% confidence intervals (CI), or a fixed model instead when I2 < 50%. We conducted subgroup analysis according to geographic region. Additionally, we searched United Nations Educational Scientific and Cultural Organization to see how different countries act to the education disruption in COVID-19. RESULTS 29 studies with 4300 pediatric patients were included. The mean age was 7.04 (95% CI: 5.06-9.08) years old. 18.9% of children were asymptomatic (95% CI: 0.121-0.266), 37.4% (95% CI: 0.280-0.474) had no radiographic abnormalities. Besides, a proportion of 0.1% patients were admitted to intensive care units (0, 95% CI: 0.000-0.013) and four deaths were reported (0, 95% CI: 0.000-0.000). Up to 159 countries have implemented nationwide school closures, affecting over 70% of the world's students. CONCLUSION Children were also susceptible to SARS-CoV-2, while critical cases or deaths were rare. Characterized by mild presentation, the dilemma that children may become a potential spreader in the pandemic, while strict managements like prolonged school closures, may undermine their well-beings. Thus, the public policies are facing challenge.
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Affiliation(s)
- Chan Liu
- Department of Neonatology, Children's Hospital of Chongqing Medical University; National Clinical Research Center for Child Health and Disorders; Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders; Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Yu He
- Department of Neonatology, Children's Hospital of Chongqing Medical University; National Clinical Research Center for Child Health and Disorders; Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders; Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Lian Liu
- Department of Neonatology, Children's Hospital of Chongqing Medical University; National Clinical Research Center for Child Health and Disorders; Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders; Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China
| | - Fang Li
- Department of Neonatology, Children's Hospital of Chongqing Medical University; National Clinical Research Center for Child Health and Disorders; Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders; Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
| | - Yuan Shi
- Department of Neonatology, Children's Hospital of Chongqing Medical University; National Clinical Research Center for Child Health and Disorders; Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders; Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
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590
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Abstract
OBJECTIVES There is limited data regarding the demographics and clinical features of SARS-CoV-2 infection in children. This information is especially important as pneumonia is the single leading cause of death in children worldwide. This Systematic Review aims to elucidate a better understanding of the global impact of COVID-19 on the pediatric population. METHODS A systematic review of the literature was performed in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to gain insight into pediatric COVID-19 epidemiology. Specifically, Pubmed and Google Scholar databases were searched to identify any relevant article with a focus on Pediatric Covid 19, Pediatric Covid-19, Pediatric SARS-COV-2, and Pediatric Coronavirus 19. References within the included articles were reviewed. All articles that met criteria where analyzed for demographics, clinical, laboratory, radiographic, treatment and outcomes data. RESULTS Ten studies including two case series and 8 retrospective chart reviews, altogether describing a total of 2914 pediatric patients with COVID-19 were included in this systematic review. Of the patients whose data was available, 56% were male, the age range was 1 day to 17 years, 79% were reported to have no comorbidities, and of the 21% with comorbidities, the most common were asthma, immunosupression, and cardiovascular disease. Of pediatric patients that were tested and positive for an infection with SARS-CoV-2, patients were asymptomatic, 14.9% of the time. Patients presented with cough (48%), fever (47%) and sore throat/pharyngitis (28.6%), more commonly than with upper respiratory symptoms/rhinorrhea/sneezing/nasal congestion (13.7%), vomiting/nausea (7.8%) and diarrhea (10.1%). Median lab values including those for WBC, lymphocyte count and CRP, were within the reference ranges with the exception of procalcitonin levels, which were slightly elevated in children with COVID-19 (median procalcitonin levels ranged from 0.07 to 0.5 ng/mL. Computed tomography (CT) results suggest that unilateral CT imaging findings are present 36% of cases while 64% of pediatric patients with COVID-19 had bilateral findings. Of the studies with age specific hospitalization data available, 27.0% of patients hospitalized were infants under 1 year of age. Various treatment regimens including interferon, antivirals, and hydroxychloroquine therapies have been trialed on the pediatric population but there are currently no studies showing efficacy of one regimen over the other. The mortality rate of children that were hospitalized with COVID-19 was 0.18%. CONCLUSION In contrast to adults, most infected children appear to have a milder course and have better outcomes overall. Additional care may be needed for children with comorbidities and younger children. This review also suggests that unilateral CT chest imaging findings were seen in 36.4% pediatric COVID-19 patients. This is particularly concerning as the work-up of pediatric patients with cough may warrant a bronchoscopy to evaluate for airway foreign bodies. Extra precautions need to be taken with personal protective equipment for these cases, as aerosolizing procedures may be a method of viral transmission. LEVEL OF EVIDENCE 4 (Systematic Review).
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Affiliation(s)
- Neha A Patel
- Cohen Children's Medical Center, Division of Pediatric Otolaryngology, New Hyde Park, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Department of Otolaryngology-Head and Neck Surgery, Hempstead, NY, USA.
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591
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Al-Sadeq DW, Nasrallah GK. The incidence of the novel coronavirus SARS-CoV-2 among asymptomatic patients: A systematic review. Int J Infect Dis 2020; 98:372-380. [PMID: 32623083 PMCID: PMC7330573 DOI: 10.1016/j.ijid.2020.06.098] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 06/27/2020] [Accepted: 06/29/2020] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The recent outbreak of the coronavirus disease 2019 (COVID-19) has quickly spread globally since its discovery in Wuhan, China, in December 2019. A comprehensive strategy - including surveillance, diagnostics, research, and clinical treatment - is urgently needed to win the battle against COVID-19. Recently, numerous studies have reported the incidence of SARS-CoV-2 in asymptomatic patients. Yet, the incidence and viral transmission from the asymptomatic cases are not yet apparent. AIM To estimate the incidence of COVID-19 among asymptomatic cases and describe its epidemiological and clinical significance this review systematically examined the published literature on SARS-CoV-2 in asymptomatic patients. METHODS The literature was searched through four scientific databases: PubMed, Web of Science, Scopus, and Science Direct. RESULTS Sixty-three studies satisfied the inclusion criteria. The majority of the reported studies were from China. However, there was a lack of SARS-CoV-2 epidemiological studies, from several countries worldwide, tracing the actual incidence of COVID-19, especially in asymptomatic patients. Studies with a large sample size (>1000) estimated that the percentage of people contracting SARS-CoV-2 and likely to be asymptomatic ranged from 1.2-12.9%. However, other studies with a smaller sample size reported a much higher incidence and indicated that up to 87.9% of COVID-19 infected individuals could be asymptomatic. Most of these studies indicated that asymptopatics are a potential source of infection to the community. CONCLUSION This review highlighted the need for more robust and well-designed studies to better estimate COVID-19 incidence among asymptomatic patients worldwide. Early identification of asymptomatic cases, as well as monitoring and tracing close contacts, could help in mitigating the spread of COVID-19.
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Affiliation(s)
- Duaa W Al-Sadeq
- Biomedical Research Center, Qatar University, Doha, Qatar; College of Medicine, Member of QU Health, Qatar University, Doha, Qatar
| | - Gheyath K Nasrallah
- Biomedical Research Center, Qatar University, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha, Qatar.
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592
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Shanbehzadeh M, Kazemi-Arpanahi H. Development of minimal basic data set to report COVID-19. Med J Islam Repub Iran 2020; 34:111. [PMID: 33315989 PMCID: PMC7722954 DOI: 10.34171/mjiri.34.111] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Indexed: 12/11/2022] Open
Abstract
Background: Effective surveillance of COVID-19 highlights the importance of rapid, valid, and standardized information to crisis monitoring and prompts clinical interventions. Minimal basic data set (MBDS) is a set of metrics to be collated in a standard approach to allow aggregated use of data for clinical purposes and research. Data standardization enables accurate comparability of collected data, and accordingly, enhanced generalization of findings. The aim of this study is to establish a core set of data to characterize COVID-19 to consolidate clinical practice. Methods: A 3-step sequential approach was used in this study: (1) an elementary list of data were collected from the existing information systems and data sets; (2) a systematic literature review was conducted to extract evidence supporting the development of MBDS; and (3) a 2-round Delphi survey was done for reaching consensus on data elements to include in COVID-19 MBDS and for its robust validation. Results: In total, 643 studies were identified, of which 38 met the inclusion criteria, where a total of 149 items were identified in the data sources. The data elements were classified by 3 experts and validated via a 2-round Delphi procedure. Finally, 125 data elements were confirmed as the MBDS. Conclusion: The development of COVID-19 MBDS could provide a basis for meaningful evaluations, reporting, and benchmarking COVID-19 disease across regions and countries. It could also provide scientific collaboration for care providers in the field, which may lead to improved quality of documentation, clinical care, and research outcomes.
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Affiliation(s)
- Mostafa Shanbehzadeh
- Department of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran
| | - Hadi Kazemi-Arpanahi
- Department of Health Information Technology, Abadan Faculty of Medical Sciences, Abadan, Iran
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593
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Zhou F, Li J, Lu M, Ma L, Pan Y, Liu X, Zhu X, Hu C, Wu S, Chen L, Wang Y, Wei Y, Li Y, Xu H, Wang X, Cai L. Tracing asymptomatic SARS-CoV-2 carriers among 3674 hospital staff:a cross-sectional survey. EClinicalMedicine 2020; 26:100510. [PMID: 32954232 PMCID: PMC7490283 DOI: 10.1016/j.eclinm.2020.100510] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Asymptomatic carriers were positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) without developing symptoms, which might be a potential source of infection outbreak. Here, we aim to clarify the epidemiologic and influencing factors of asymptomatic carriers in the general population. METHODS In our hospital, all hospital staff have received throat swab RT-PCR test, plasma COVID-19 IgM/IgG antibodies test and chest CT examination. We analyzed the correlation between infection rates and gender, age, job position, work place and COVID-19 knowledge training of the staff. After that, all asymptomatic staff were re-examined weekly for 3 weeks. FINDINGS A total of 3764 hospital staff were included in this single-center cross-sectional study. Among them, 126 hospital staff had abnormal findings, and the proportion of asymptomatic infection accounted for 0.76% (28/3674). There were 26 staff with IgM+, 73 with IgG+, and 40 with ground glass shadow of chest CT. Of all staff with abnormal findings, the older they are, the more likely they are to be the staff with abnormal results, regardless of their gender. Of 3674 hospital staff, the positive rate of labor staff is obviously higher than that of health care workers (HCWs) and administrative staff (P<0.05). In the course of participating in the treatment of COVID-19, there was no statistically significant difference in positive rates between high-risk departments and low-risk departments (P>0.05). The positive rate of HCWs who participated in the COVID-19 knowledge training was lower than those did not participate in early training (P <0.01). Importantly, it was found that there was no statistical difference between the titers of IgM antibody of asymptomatic infections and confirmed patients with COVID-19 in recovery period (P>0.05). During 3 weeks follow-up, all asymptomatic patients did not present the development of clinical symptoms or radiographic abnormalities after active intervention in isolation point. INTERPRETATION To ensure the safety of resumption of work, institutions should conduct COVID-19 prevention training for staff and screening for asymptomatic patients, and take quarantine measures as soon as possible in areas with high density of population. FUNDING The Key Project for Anti-2019 novel Coronavirus Pneumonia from the Ministry of Science and Technology, China; Wuhan Emergency Technology Project of COVID-19 epidemic, China.
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Affiliation(s)
- Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Jingfeng Li
- Department of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Mengxin Lu
- Department of Urology, Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Linlu Ma
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Yunbao Pan
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Xiaoyan Liu
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Xiaobin Zhu
- Department of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Chao Hu
- Department of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Sanyun Wu
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Liangjun Chen
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Yi Wang
- Department of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Yongchang Wei
- Department of Radiation Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Yirong Li
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Haibo Xu
- Department of Radiology, Zhongnan hospital of Wuhan university, Wuhan 430071, PR China
| | - Xinghuan Wang
- Department of Urology, Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Lin Cai
- Department of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
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594
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Pediatric otolaryngology workflow changes in a community hospital setting to decrease exposure to novel coronavirus. Int J Pediatr Otorhinolaryngol 2020; 136:110169. [PMID: 32526541 PMCID: PMC7274117 DOI: 10.1016/j.ijporl.2020.110169] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 05/25/2020] [Accepted: 06/01/2020] [Indexed: 01/13/2023]
Abstract
OBJECTIVES To develop a workflow algorithm for physicians and staff to decrease cross contamination and minimize exposure to Coronavirus Disease -19 (COVID-19) in pediatric otolaryngology at a community pediatric hospital. METHODS PubMed and Google Scholar searches were carried out using the keywords. Pertinent clinical information related to pediatric otolaryngology was reviewed from journals, Texas Medical Board guidelines as well as institutional guidelines. Updated information from the Centers for Disease Control through social media was identified via Google search. STUDY DESIGN Safety measures and clinical work-flow protocols were developed to protect patients, families, and staff. Protocols included a rotation schedule for providers and ancillary staff, guidelines for in-clinic visits and alteration to surgical block and surgical case cadence to minimize exposure of providers and staff to COVID-19. Algorithms and guidelines were reviewed and revisions made at each phase of the pandemic related to in-clinic visits, telemedicine visits, and surgical cases. CONCLUSION In the era of the COVID-19 pandemic, otolaryngologists and pediatric otolaryngologists are amongst sub-specialties with an increased risk of exposure. It is imperative that a modification in clinical workflow is created to minimize the risk of exposure to providers and staff while continuing to provide care to patients. PRACTICE IMPLICATIONS The COVID-19 pandemic continues to evolve and change rapidly. The described guidelines and workflow algorithm serve as tools to help pediatric otolaryngologists protect themselves and their staff and patients during this global crisis.
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595
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Wati DK, Manggala AK. Overview of management of children with COVID-19. Clin Exp Pediatr 2020; 63:345-354. [PMID: 32683801 PMCID: PMC7462825 DOI: 10.3345/cep.2020.00913] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 07/02/2020] [Accepted: 07/10/2020] [Indexed: 02/07/2023] Open
Abstract
The widespread and contagious coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 has become a burden in the global health domain. The subsequent discovery of the virus features and pathogenesis, and prompt and adequate management are still lacking and remain inconclusive. Children usually present milder symptoms than adults, and management focuses on providing symptomatic and respiratory supports. Several treatment modalities, including the utilization of mechanical ventilation (MV), antivirals, immune-modulating drugs, or other agents, may present promising results in reducing the symptoms of COVID-19, particularly in severe cases. Although no randomized clinical trials have been published to date, it is interesting to explore potential modalities for treating COVID-19 in children, based on review articles, case reports, and recent guidelines.
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Affiliation(s)
- Dyah Kanya Wati
- Pediatric Emergency and Intensive Care Sanglah Public Hospital, School of Medicine, Udayana University, Denpasar, Bali, Indonesia
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596
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Buja LM, Wolf DA, Zhao B, Akkanti B, McDonald M, Lelenwa L, Reilly N, Ottaviani G, Elghetany MT, Trujillo DO, Aisenberg GM, Madjid M, Kar B. The emerging spectrum of cardiopulmonary pathology of the coronavirus disease 2019 (COVID-19): Report of 3 autopsies from Houston, Texas, and review of autopsy findings from other United States cities. Cardiovasc Pathol 2020; 48:107233. [PMID: 32434133 PMCID: PMC7204762 DOI: 10.1016/j.carpath.2020.107233] [Citation(s) in RCA: 291] [Impact Index Per Article: 58.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 04/27/2020] [Accepted: 04/28/2020] [Indexed: 02/06/2023] Open
Abstract
This paper collates the pathological findings from initial published autopsy reports on 23 patients with coronavirus disease 2019 (COVID-19) from 5 centers in the United States of America, including 3 cases from Houston, Texas. Findings confirm that COVID-19 is a systemic disease with major involvement of the lungs and heart. Acute COVID-19 pneumonia has features of a distinctive acute interstitial pneumonia with a diffuse alveolar damage component, coupled with microvascular involvement with intra- and extravascular fibrin deposition and intravascular trapping of neutrophils, and, frequently, with formation of microthombi in arterioles. Major pulmonary thromboemboli with pulmonary infarcts and/or hemorrhage occurred in 5 of the 23 patients. Two of the Houston cases had interstitial pneumonia with diffuse alveolar damage pattern. One of the Houston cases had multiple bilateral segmental pulmonary thromboemboli with infarcts and hemorrhages coupled with, in nonhemorrhagic areas, a distinctive interstitial lymphocytic pneumonitis with intra-alveolar fibrin deposits and no hyaline membranes, possibly representing a transition form to acute fibrinous and organizing pneumonia. Multifocal acute injury of cardiac myocytes was frequently observed. Lymphocytic myocarditis was reported in 1 case. In addition to major pulmonary pathology, the 3 Houston cases had evidence of lymphocytic pericarditis, multifocal acute injury of cardiomyocytes without inflammatory cellular infiltrates, depletion of splenic white pulp, focal hepatocellular degeneration and rare glomerular capillary thrombosis. Each had evidence of chronic cardiac disease: hypertensive left ventricular hypertrophy (420 g heart), dilated cardiomyopathy (1070 g heart), and hypertrophic cardiomyopathy (670 g heart). All 3 subjects were obese (BMIs of 33.8, 51.65, and 35.2 Kg/m2). Overall, the autopsy findings support the concept that the pathogenesis of severe COVID-19 disease involves direct viral-induced injury of multiple organs, including heart and lungs, coupled with the consequences of a procoagulant state with coagulopathy.
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Affiliation(s)
- Louis Maximilian Buja
- Departments of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
| | - Dwayne A Wolf
- Harris County Institute of Forensic Sciences, Houston, Texas, USA
| | - Bihong Zhao
- Departments of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
| | - Bindu Akkanti
- Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA; Center for Advanced Cardiopulmonary Therapies and Transplantation, McGovern Medical School and Memorial Hermann Hospital-Texas Medical Center, Houston, Texas, USA
| | - Michelle McDonald
- Departments of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
| | - Laura Lelenwa
- Departments of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
| | - Noah Reilly
- Departments of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
| | - Giulia Ottaviani
- "Lino Rossi" Research Center for the Study and Prevention of Unexpected Perinatal Death and Sudden Infant Death Syndrome, Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - M Tarek Elghetany
- Department of Pathology, Baylor College of Medicine and Texas Childrens Hospital, Houston, Texas, USA
| | - Daniel Ocazionez Trujillo
- Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
| | - Gabriel M Aisenberg
- Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA; Lyndon B. Johnson General Hospital, Harris Health, Houston, Texas, USA
| | - Mohammad Madjid
- Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
| | - Biswajit Kar
- Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA; Center for Advanced Cardiopulmonary Therapies and Transplantation, McGovern Medical School and Memorial Hermann Hospital-Texas Medical Center, Houston, Texas, USA
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597
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Gremese E, Ferraccioli ES, Alivernini S, Tolusso B, Ferraccioli G. Basic immunology may lead to translational therapeutic rationale: SARS-CoV-2 and rheumatic diseases. Eur J Clin Invest 2020; 50:e13342. [PMID: 32645207 PMCID: PMC7404583 DOI: 10.1111/eci.13342] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/20/2020] [Accepted: 06/23/2020] [Indexed: 01/08/2023]
Abstract
COVID-19 pandemia is a major concern for patients and healthcare systems. The fear of infection by patients with concomitant rheumatic diseases (either adult or children) and connective tissue diseases is arising worldwide, because of their immunological background and immunological therapies. Analysing the basic biology of single diseases, the data suggest that there is an "immunological umbrella" that seems to protect against the infection, through IFN type 1 and NK cell function. To date, reports from China, United States and Europe did not reveal an higher risk of infection, either for rheumatoid arthritis, juvenile idiopathic arthritis nor for lupus erythematosus. Antimalarials, anti-IL6-Anti-IL6 receptor, anti-IL1, anti-GM-CSF receptor and JAK1/2/3 inhibitors, are under investigation in COVID-dedicated clinical trials to control the inflammation raised by SARS-CoV-2 infection. Initial reports on the occurrence of autoimmune phenomena in the convalescence phase of SARS-CoV-2 infection suggests that the immunological consequences of the infection need to be strictly understood. Reporting of the study conforms to broad EQUATOR guidelines (Simera et al January 2010 issue of EJCI).
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Affiliation(s)
- Elisa Gremese
- Division of Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy.,Division of Rheumatology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | - Stefano Alivernini
- Division of Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy.,Division of Rheumatology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Barbara Tolusso
- Division of Rheumatology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
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598
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Walsh KA, Jordan K, Clyne B, Rohde D, Drummond L, Byrne P, Ahern S, Carty PG, O'Brien KK, O'Murchu E, O'Neill M, Smith SM, Ryan M, Harrington P. SARS-CoV-2 detection, viral load and infectivity over the course of an infection. J Infect 2020; 81:357-371. [PMID: 32615199 PMCID: PMC7323671 DOI: 10.1016/j.jinf.2020.06.067] [Citation(s) in RCA: 470] [Impact Index Per Article: 94.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 06/23/2020] [Accepted: 06/26/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To summarise the evidence on the detection pattern and viral load of SARS-CoV-2 over the course of an infection (including any asymptomatic or pre-symptomatic phase), and the duration of infectivity. METHODS A systematic literature search was undertaken in PubMed, Europe PubMed Central and EMBASE from 30 December 2019 to 12 May 2020. RESULTS We identified 113 studies conducted in 17 countries. The evidence from upper respiratory tract samples suggests that the viral load of SARS-CoV-2 peaks around symptom onset or a few days thereafter, and becomes undetectable about two weeks after symptom onset; however, viral loads from sputum samples may be higher, peak later and persist for longer. There is evidence of prolonged virus detection in stool samples, with unclear clinical significance. No study was found that definitively measured the duration of infectivity; however, patients may not be infectious for the entire duration of virus detection, as the presence of viral ribonucleic acid may not represent transmissible live virus. CONCLUSION There is a relatively consistent trajectory of SARS-CoV-2 viral load over the course of COVID-19 from respiratory tract samples, however the duration of infectivity remains uncertain.
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Affiliation(s)
- Kieran A Walsh
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland.
| | - Karen Jordan
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Barbara Clyne
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland; Health Research Board Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Daniela Rohde
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Linda Drummond
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Paula Byrne
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Susan Ahern
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Paul G Carty
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Kirsty K O'Brien
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Eamon O'Murchu
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Michelle O'Neill
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland
| | - Susan M Smith
- Health Research Board Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Máirín Ryan
- Health Information and Quality Authority, Smithfield, Dublin 7, Ireland; Department of Pharmacology & Therapeutics, Trinity College Dublin, Trinity Health Sciences, James Street, Dublin 8, Ireland
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599
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Hurst JH, Heston SM, Chambers HN, Cunningham HM, Price MJ, Suarez L, Crew CG, Bose S, Aquino JN, Carr ST, Griffin SM, Smith SH, Jenkins K, Pfeiffer TS, Rodriguez J, DeMarco CT, De Naeyer NA, Gurley TC, Louzao R, Cunningham CK, Steinbach WJ, Denny TN, Lugo DJ, Moody MA, Permar SR, Rotta AT, Turner NA, Walter EB, Woods CW, Kelly MS. SARS-CoV-2 Infections Among Children in the Biospecimens from Respiratory Virus-Exposed Kids (BRAVE Kids) Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.08.18.20166835. [PMID: 32908992 PMCID: PMC7480040 DOI: 10.1101/2020.08.18.20166835] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Children with SARS-CoV-2 infection typically have mild symptoms that do not require medical attention, leaving a gap in our understanding of the spectrum of illnesses that the virus causes in children. METHODS We conducted a prospective cohort study of children and adolescents (<21 years of age) with a SARS-CoV-2-infected close contact. We collected nasopharyngeal or nasal swabs at enrollment and tested for SARS-CoV-2 using a real-time PCR assay. RESULTS Of 382 children, 289 (76%) were SARS-CoV-2-infected. SARS-CoV-2-infected children were more likely to be Hispanic (p<0.0001), less likely to have a history of asthma (p=0.009), and more likely to have an infected sibling contact (p=0.0007) than uninfected children. Children ages 6-13 years were frequently asymptomatic (38%) and had respiratory symptoms less often than younger children (30% vs. 49%; p=0.008) or adolescents (30% vs. 59%; p<0.0001). Compared to children ages 6-13 years, adolescents more frequently reported influenza-like (61% vs. 39%; p=0.002), gastrointestinal (26% vs. 9%; p=0.003), and sensory symptoms (43% vs. 9%; p<0.0001), and had more prolonged illnesses [median (IQR) duration: 7 (4, 12) vs. 4 (3, 8) days; p=0.004]. Despite the age-related variability in symptoms, we found no differences in nasopharyngeal viral load by age or between symptomatic and asymptomatic children. CONCLUSIONS Hispanic ethnicity and an infected sibling close contact are associated with increased SARS-CoV-2 infection risk among children, while a history of asthma is associated with decreased risk. Age-related differences in the clinical manifestations of SARS-CoV-2 infection must be considered when evaluating children for COVID-19 and in developing screening strategies for schools and childcare settings.
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Affiliation(s)
- Jillian H Hurst
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
- Children's Health and Discovery Institute, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Sarah M Heston
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | | | | | | | | | - Carter G Crew
- Children's Health and Discovery Institute, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Shree Bose
- Duke University School of Medicine, Durham, NC
| | - Jhoanna N Aquino
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - Stuart T Carr
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - S Michelle Griffin
- Children's Clinical Research Unit, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Stephanie H Smith
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Kirsten Jenkins
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - Trevor S Pfeiffer
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - Javier Rodriguez
- Children's Clinical Research Unit, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - C Todd DeMarco
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Nicole A De Naeyer
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Thaddeus C Gurley
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Raul Louzao
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Coleen K Cunningham
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - William J Steinbach
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - Thomas N Denny
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Debra J Lugo
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - M Anthony Moody
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Sallie R Permar
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
- Children's Health and Discovery Institute, Department of Pediatrics, Duke University School of Medicine, Durham, NC
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
| | - Alexandre T Rotta
- Department of Pediatrics, Division of Pediatric Critical Care Medicine, Duke University School of Medicine, Durham, NC
| | - Nicholas A Turner
- Department of Medicine, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - Emmanuel B Walter
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC
- Department of Pediatrics, Division of Primary Care Pediatrics, Duke University School of Medicine
| | - Christopher W Woods
- Department of Medicine, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
| | - Matthew S Kelly
- Department of Pediatrics, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC
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600
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An PJ, Zhu YZ, Yang LP. Biochemical indicators of coronavirus disease 2019 exacerbation and the clinical implications. Pharmacol Res 2020; 159:104946. [PMID: 32450346 PMCID: PMC7244444 DOI: 10.1016/j.phrs.2020.104946] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/13/2020] [Accepted: 05/19/2020] [Indexed: 01/08/2023]
Abstract
Coronavirus Disease 2019 (COVID-19) has sparked a global pandemic, affecting more than 4 million people worldwide. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause acute lung injury (ALI) and even acute respiratory distress syndrome (ARDS); with a fatality of 7.0 %. Accumulating evidence suggested that the progression of COVID-19 is associated with lymphopenia and excessive inflammation, and a subset of severe cases might exhibit cytokine storm triggered by secondary hemophagocytic lymphohistiocytosis (sHLH). Furthermore, secondary bacterial infection may contribute to the exacerbation of COVID-19. We recommend using both IL-10 and IL-6 as the indicators of cytokine storm, and monitoring the elevation of procalcitonin (PCT) as an alert for initiating antibacterial agents. Understanding the dynamic progression of SARS-CoV-2 infection is crucial to determine an effective treatment strategy to reduce the rising mortality of this global pandemic.
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Affiliation(s)
- Peng-Jiao An
- Department of Pharmacy, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing 100730, China; Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Yi Zhun Zhu
- School of Pharmacy and State Key Laboratory for the Quality Research of Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Li-Ping Yang
- Department of Pharmacy, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing 100730, China.
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