Literature DB >> 32240633

Likelihood of survival of coronavirus disease 2019.

Shigui Ruan1.   

Abstract

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Year:  2020        PMID: 32240633      PMCID: PMC7156221          DOI: 10.1016/S1473-3099(20)30257-7

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


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A case fatality ratio of an infectious disease measures the proportion of all individuals diagnosed with a disease who will die from that disease. For an emerging infectious disease, this ratio is thus a very important indicator not only of disease severity but also of its significance as a public health problem. For instance, WHO estimated a case fatality ratio of approximately 14–15% for severe acute respiratory syndrome (SARS) in 2003, and approximately 35% for Middle East respiratory syndrome (MERS) in 2012. The ongoing pandemic of coronavirus disease 2019 (COVID-19) is caused by a virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), belonging to a large family of coronaviruses that also includes SARS coronavirus (SARS-CoV) and MERS coronavirus (MERS-CoV). COVID-19 was first reported in December, 2019, in Wuhan, in the Hubei province of China, and spread very rapidly to all other prefectures in Hubei, as well as all other provinces, autonomous regions, municipalities, and special administrative regions of China, and more than 180 other countries and territories. As of March 21, 2020, there have been 292 142 confirmed cases of COVID-19 worldwide, with 12 784 deaths reported. Estimating the case fatality ratio for COVID-19 in real time during its epidemic is very challenging. Nevertheless, this ratio is a very important piece of data that will help to guide the response from various government and public health authorities worldwide. The disease has brought tremendous pressure and disastrous consequences for the public health and medical systems in Wuhan, as well as in Iran, Italy, and in other countries. However, current estimates of case fatality ratio for COVID-19 vary depending on the datasets and time periods examined. A study of nearly 1100 patients from China suggested a case fatality ratio of 1·4%. From a dataset of 44 672 confirmed cases in China, a report from the Chinese Center for Disease Control and Prevention (CDC) estimated an overall case fatality ratio of 2·3%, and pointed out that the ratio varied by location and intensity of transmission (eg, 2·9% in Hubei vs 0·4% in other areas of China), in different phases of the outbreak (eg, 14·4% before Dec 31, 15·6% for Jan 1–10, 5·7% for Jan 11–20, 1·9% Jan for 21–31, and 0·8% after Feb 1), as well as by sex (2·8% for males vs 1·7% for females). Moreover, the Chinese CDC reported that the case fatality ratio increases with age (from 0·2% for people aged 11–19 years, to 14·8% for people aged ≥80 years), and with the presence of comorbid conditions (10·5% for cardiovascular disease, 7·3% for diabetes, 6·0% for hypertension, 6·3% for chronic respiratory disease, and 5·6% for cancer). The WHO–China Joint Mission on COVID-19 provided similar data and reported a case fatality ratio of 3·8%, based on the 55 924 laboratory-confirmed cases in China. In The Lancet Infectious Diseases, Robert Verity and colleagues provide an estimate of the case fatality ratio for COVID-19. The authors argue that crude case fatality ratios obtained by simply dividing the number of deaths by the number of cases can be misleading because there can be a period of 2–3 weeks between a person developing symptoms and that case being detected and reported, and because surveillance of a novel virus is biased towards detecting severe cases, especially at the beginning of an outbreak when test capacity is low. By using individual-case data from mainland China (3665 cases) and 1334 cases detected outside of mainland China, assuming a constant attack rate by age, and adjusting for demography and age-based and location-based under-ascertainment, Verity and colleagues estimate the mean duration from symptom onset to death to be 17·8 days (95% credible interval [CrI] 16·9–19·2) and from onset-of-symptoms to hospital discharge to be 24·7 days (22·9–28·1). The study findings give an estimate of the overall case fatality ratio in China of 1·38% (95% CrI 1·23–1·53), which becomes higher as age increases (figure ).
Figure

Comparison of case fatality ratios for SARS,1, 8 COVID-19, and seasonal influenza

SARS=severe acute respiratory syndrome. COVID-19=coronavirus disease 2019. CrI=credible interval. CI=confidence interval.

Comparison of case fatality ratios for SARS,1, 8 COVID-19, and seasonal influenza SARS=severe acute respiratory syndrome. COVID-19=coronavirus disease 2019. CrI=credible interval. CI=confidence interval. Estimates of case fatality ratios might vary slightly from country to country because of differences in prevention, control, and mitigation policies implemented, and because the case fatality ratio is substantially affected by the preparedness and availability of health care. Early studies5, 6 have shown that delaying the detection of infected cases not only increases the probability of spreading the virus to others (most likely family members, colleagues, and friends) but also makes the infection worse in some cases, thereby increasing the case fatality ratio. Comparisons of case fatality ratios for SARS, COVID-19, and seasonal influenza in different age groups are shown in the figure. Even though the fatality rate is low for younger people, it is very clear that any suggestion of COVID-19 being just like influenza is false: even for those aged 20–29 years, once infected with SARS-CoV-2, the mortality rate is 33 times higher than that from seasonal influenza. For people aged 60 years and older, the chance of survival following SARS-CoV-2 infection is approximately 95% in the absence of comorbid conditions. However, the chance of survival will be considerably decreased if the patient has underlying health conditions, and continues to decrease with age beyond 60 years.5, 6 Although China seems to be out of the woods now, many other countries are facing tremendous pressure from the COVID-19 pandemic. The strategies of early detection, early diagnosis, early isolation, and early treatment that were practised in China are likely to be not only useful in controlling the outbreak, but also contribute to decreasing the case fatality ratio of the disease.
  3 in total

1.  Estimates of the severity of coronavirus disease 2019: a model-based analysis.

Authors:  Robert Verity; Lucy C Okell; Ilaria Dorigatti; Peter Winskill; Charles Whittaker; Natsuko Imai; Gina Cuomo-Dannenburg; Hayley Thompson; Patrick G T Walker; Han Fu; Amy Dighe; Jamie T Griffin; Marc Baguelin; Sangeeta Bhatia; Adhiratha Boonyasiri; Anne Cori; Zulma Cucunubá; Rich FitzJohn; Katy Gaythorpe; Will Green; Arran Hamlet; Wes Hinsley; Daniel Laydon; Gemma Nedjati-Gilani; Steven Riley; Sabine van Elsland; Erik Volz; Haowei Wang; Yuanrong Wang; Xiaoyue Xi; Christl A Donnelly; Azra C Ghani; Neil M Ferguson
Journal:  Lancet Infect Dis       Date:  2020-03-30       Impact factor: 25.071

2.  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

Review 3.  SARS: epidemiology.

Authors:  Moira Chan-Yeung; Rui-Heng Xu
Journal:  Respirology       Date:  2003-11       Impact factor: 6.424

  3 in total
  74 in total

1.  Cardiac involvement according to echocardiographic findings in severe coronavirus disease 2019.

Authors:  Marzieh Tajmirriahi; Mehrzad Salmasi; Forogh Soltaninejad; Babak Amra; Ramin Sami; Zohreh Naderi
Journal:  ARYA Atheroscler       Date:  2021-05

2.  NAFLD determined by Dallas Steatosis Index is associated with poor outcomes in COVID-19 pneumonia: a cohort study.

Authors:  Paulina Moctezuma-Velázquez; Godolfino Miranda-Zazueta; Edgar Ortiz-Brizuela; Juan Alberto Garay-Mora; María Fernanda González-Lara; Karla Maria Tamez-Torres; Carla Marina Román-Montes; Bruno Alejandro Díaz-Mejía; Esteban Pérez-García; Marco Villanueva-Reza; Monica Chapa-Ibargüengoitia; Luis Uscanga-Domínguez; José Sifuentes-Osornio; Alfredo Ponce-de-León; David Kershenobich-Stalnikowitz; Blanca Mota-Ayala; Carlos Moctezuma-Velázquez
Journal:  Intern Emerg Med       Date:  2022-02-09       Impact factor: 5.472

Review 3.  Neuroimaging in Zoonotic Outbreaks Affecting the Central Nervous System: Are We Fighting the Last War?

Authors:  G X Goh; K Tan; B S P Ang; L-F Wang; C C Tchoyoson Lim
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-20       Impact factor: 3.825

4.  Clinical frailty score as an independent predictor of outcome in COVID-19 hospitalised patients.

Authors:  Gouri Koduri; Sriya Gokaraju; Maria Darda; Vinod Warrier; Irina Duta; Fiona Hayes; Iman El Sayed; Yasser Noeman-Ahmed
Journal:  Eur Geriatr Med       Date:  2021-06-04       Impact factor: 3.269

5.  Estimating asymptomatic, undetected and total cases for the COVID-19 outbreak in Wuhan: a mathematical modeling study.

Authors:  Xi Huo; Jing Chen; Shigui Ruan
Journal:  BMC Infect Dis       Date:  2021-05-25       Impact factor: 3.090

6.  COVID-19 is not "just another flu": a real-life comparison of severe COVID-19 and influenza in hospitalized patients in Vienna, Austria.

Authors:  Pawelka Erich; Karolyi Mario; Mader Theresa; Omid Sara; Kelani Hasan; Baumgartner Sebastian; Ely Sarah; Hoepler Wolfgang; Jilma Bernd; Koenig Franz; Laferl Hermann; Traugott Marianna; Turner Michael; Seitz Tamara; Wenisch Christoph; Zoufaly Alexander
Journal:  Infection       Date:  2021-05-13       Impact factor: 3.553

7.  Cardiovascular impact of COVID-19: an array of presentations.

Authors:  Hira Maab; Faryal Mustafa; Syeda Javeria Shabbir
Journal:  Acta Biomed       Date:  2021-05-12

8.  Transmission dynamics of COVID-19 in Wuhan, China: effects of lockdown and medical resources.

Authors:  Gui-Quan Sun; Shi-Fu Wang; Ming-Tao Li; Li Li; Juan Zhang; Wei Zhang; Zhen Jin; Guo-Lin Feng
Journal:  Nonlinear Dyn       Date:  2020-06-24       Impact factor: 5.741

9.  Incidence, Characteristics, and Outcome of COVID-19 in Adults on Kidney Replacement Therapy: A Regionwide Registry Study.

Authors:  Johan De Meester; Dirk De Bacquer; Maarten Naesens; Bjorn Meijers; Marie M Couttenye; An S De Vriese
Journal:  J Am Soc Nephrol       Date:  2020-11-05       Impact factor: 10.121

10.  Potential role of IL-17 blocking agents in the treatment of severe COVID-19?

Authors:  Vedrana Bulat; Mirna Situm; Marija Delas Azdajic; Robert Likic
Journal:  Br J Clin Pharmacol       Date:  2020-07-05       Impact factor: 3.716

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