Literature DB >> 32197108

Clinical course and mortality risk of severe COVID-19.

Paul Weiss1, David R Murdoch2.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32197108      PMCID: PMC7138151          DOI: 10.1016/S0140-6736(20)30633-4

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


× No keyword cloud information.
Several published reports of early clinical descriptions of coronavirus disease 2019 (COVID-19) have emerged from Hubei province in China, and many more will come. These early reports, typically simple descriptive case series of patients hospitalised with COVID-19 (mostly with pneumonia), provide valuable information on the more severe end of the disease spectrum. We tend to hear more about the most severe cases in the early stages of a new disease, as these are the ones first brought to the public's attention and are associated with deaths. However, it is important to bear in mind that the current best estimate is that about 81% of people with COVID-19 have mild disease and never require hospitalisation. These cases have not yet featured much in published clinical descriptions. In The Lancet, Fei Zhou and colleagues provide further insight into the clinical course and mortality risk for adults with COVID-19 severe enough to require hospitalisation. They report findings from 191 patients with COVID-19 from Wuhan during the first month of the outbreak, and follow them through to discharge (n=137) or death (n=54). The follow-up until discharge or death is a point of difference from other case series to date. Their cohort had many characteristics in common with other reports3, 4, 5—a median age of 56·0 years (IQR 46·0–67·0), a high percentage (62%) of men, and nearly half (48%) of patients with comorbidities. In-hospital death was associated with, on admission, older age (odds ratio 1·10, 95% CI 1·03–1·17; p=0·0043), a higher Sequential Organ Failure Assessment score (5·65, 2·61–12·23; p<0·0001), and blood d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033), findings known to be associated with severe pneumonia.6, 7 The study also presents early data on changes in clinical and laboratory findings over time, which could help clinicians to identify patients who progress to more severe disease. In-hospital mortality was high (28%), much higher than in other reports that had incomplete follow-up data,3, 5, 8 and was very high among the 32 patients requiring invasive mechanical ventilation, of whom 31 (97%) died. This might reflect a higher proportion of patients admitted with severe disease in the early stages of the outbreak. In another report from Wuhan, mortality was 62% among critically ill patients with COVID-19 and 81% among those requiring mechanical ventilation. While the world awaits further information from other locations, including from outside China, the current message is that mortality is high among the minority of people with COVID-19 who get severe disease. The cohort design of this study provides excellent front-line information about mortality risk. It is essential for readers to understand that this truly is a retrospective cohort design, even if it might appear otherwise at first. Careful consideration of the design is essential to understanding the findings. The authors were able to collect a wealth of information from admission to discharge on many of the earliest known cases of coronavirus in the world. By identifying this large group of patients united by their disease and tracking them to these endpoints, the authors have provided us with insight into risk factors for in-hospital death. Even though their cohort does not include the censored observations of patients admitted during the study timeframe but not discharged by the end timepoint, these results can still be considerably useful for epidemiological description of the disease in terms of person-level risk. By excluding incomplete observations, it is possible that the reported mortality rate is biased to appear larger than it is, as data from those patients who were not discharged by the end timepoint were not included. However, as a true population at risk of mortality, these patients are representative of the earliest onset of COVID-19. Excluding patients who began treatment well into the epidemic brings homogeneity to the exposure level and treatment. These preliminary data provide an important framework to build on as the world moves forward in the fight against this pandemic. The timeliness and value of this information far outweigh the slight bias stemming from the exclusion of patients with incomplete data at the end of the study period. The report by Zhou and colleagues also provides data on viral shedding. Throat swabs were obtained every other day and were PCR positive for a median of 20·0 days (IQR 16·0–23·0) after onset of symptoms. In survivors, median duration of viral shedding was 20·0 days (17·0–24·0), ranging from 8 to 37 days, but the virus was detectable until death in non-survivors. These early findings are similar to those reported for the severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome coronaviruses,10, 11, 12 and we await more detailed information on viral load kinetics and shedding of SARS coronavirus 2 in various disease states. Importantly, PCR positivity does not necessarily indicate viable virus, and additional data are needed to better understand the infectious period of COVID-19 and implications for treatment and infection control. Although there is always the limitation of generalisability in epidemic investigations, this study adds to a rapidly growing knowledge base on the clinical course and mortality risk of COVID-19. We now have a better understanding of the severity of hospitalised COVID-19, but more data are needed on treatment options that improve survival.
  12 in total

1.  D-dimer levels in assessing severity and clinical outcome in patients with community-acquired pneumonia. A secondary analysis of a randomised clinical trial.

Authors:  Dominic Snijders; Margreet Schoorl; Marianne Schoorl; Piet C Bartels; Tjip S van der Werf; Wim G Boersma
Journal:  Eur J Intern Med       Date:  2011-11-21       Impact factor: 4.487

2.  Viral Load Kinetics of MERS Coronavirus Infection.

Authors:  Myoung-Don Oh; Wan Beom Park; Pyoeng Gyun Choe; Su-Jin Choi; Jong-Il Kim; Jeesoo Chae; Sung Sup Park; Eui-Chong Kim; Hong Sang Oh; Eun Jung Kim; Eun Young Nam; Sun Hee Na; Dong Ki Kim; Sang-Min Lee; Kyoung-Ho Song; Ji Hwan Bang; Eu Suk Kim; Hong Bin Kim; Sang Won Park; Nam Joong Kim
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245

3.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

4.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

5.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

6.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

7.  Viral Shedding and Antibody Response in 37 Patients With Middle East Respiratory Syndrome Coronavirus Infection.

Authors:  Victor M Corman; Ali M Albarrak; Ali Senosi Omrani; Mohammed M Albarrak; Mohamed Elamin Farah; Malak Almasri; Doreen Muth; Andrea Sieberg; Benjamin Meyer; Abdullah M Assiri; Tabea Binger; Katja Steinhagen; Erik Lattwein; Jaffar Al-Tawfiq; Marcel A Müller; Christian Drosten; Ziad A Memish
Journal:  Clin Infect Dis       Date:  2015-11-12       Impact factor: 9.079

8.  Viral shedding patterns of coronavirus in patients with probable severe acute respiratory syndrome.

Authors:  Peter K C Cheng; Derek A Wong; Louis K L Tong; Sin-Ming Ip; Angus C T Lo; Chi-Shan Lau; Eugene Y H Yeung; Wilina W L Lim
Journal:  Lancet       Date:  2004-05-22       Impact factor: 79.321

9.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

View more
  223 in total

1.  Renal complications in COVID-19: a systematic review and meta-analysis.

Authors:  Setor K Kunutsor; Jari A Laukkanen
Journal:  Ann Med       Date:  2020-07-10       Impact factor: 4.709

2.  Multi-dimensional COVID-19 short- and long-term outcome prediction algorithm.

Authors:  Mario C Deng
Journal:  Expert Rev Precis Med Drug Dev       Date:  2020-06-24

3.  Anosmia in COVID-19 Associated with Injury to the Olfactory Bulbs Evident on MRI.

Authors:  M F V V Aragão; M C Leal; O Q Cartaxo Filho; T M Fonseca; M M Valença
Journal:  AJNR Am J Neuroradiol       Date:  2020-06-25       Impact factor: 3.825

4.  Mondor's Disease in SARS-CoV-2 Infection: A Case of Superficial Vein Thrombosis in the Era of COVID-19.

Authors:  Gianfranco Lessiani; Andrea Boccatonda; Damiano D'Ardes; Giulio Cocco; Giuseppe Di Marco; Cosima Schiavone
Journal:  Eur J Case Rep Intern Med       Date:  2020-09-01

5.  COVID-19 in Patients With Connective Tissue Disease-related Interstitial Lung Disease.

Authors:  Linh Truong; Lila Pourzand; Elizabeth R Volkmann
Journal:  J Rheumatol       Date:  2020-09-15       Impact factor: 4.666

6.  Mathematical modelling of COVID-19 transmission and mitigation strategies in the population of Ontario, Canada.

Authors:  Ashleigh R Tuite; David N Fisman; Amy L Greer
Journal:  CMAJ       Date:  2020-04-08       Impact factor: 8.262

7.  Management of Rheumatic Diseases During the COVID-19 Pandemic: A National Veterans Affairs Survey of Rheumatologists.

Authors:  Jasvinder A Singh; John S Richards; Elizabeth Chang; Amy Joseph; Bernard Ng
Journal:  Arthritis Care Res (Hoboken)       Date:  2021-07       Impact factor: 4.794

Review 8.  SARS-CoV-2 Infection and the Kidneys: An Evolving Picture.

Authors:  Jaya A George; Siyabonga Khoza
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

9.  Imaging Features of Acute Encephalopathy in Patients with COVID-19: A Case Series.

Authors:  S Kihira; B N Delman; P Belani; L Stein; A Aggarwal; B Rigney; J Schefflein; A H Doshi; P S Pawha
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-13       Impact factor: 3.825

10.  Prevention of COVID-19: Preventive Strategies for General Population, Healthcare Setting, and Various Professions.

Authors:  Shirin Moossavi; Kelsey Fehr; Hassan Maleki; Simin Seyedpour; Mahdis Keshavarz-Fathi; Farhad Tabasi; Mehrdad Heravi; Rayka Sharifian; Golnaz Shafiei; Negin Badihian; Roya Kelishadi; Shahrzad Nematollahi; Majid Almasi; Saskia Popescu; Mahsa Keshavarz-Fathi; Nima Rezaei
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.