Literature DB >> 32272081

Understanding pathways to death in patients with COVID-19.

Jean-Louis Vincent1, Fabio S Taccone2.   

Abstract

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Year:  2020        PMID: 32272081      PMCID: PMC7270480          DOI: 10.1016/S2213-2600(20)30165-X

Source DB:  PubMed          Journal:  Lancet Respir Med        ISSN: 2213-2600            Impact factor:   30.700


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Since the first cases of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), were identified in China in December, 2019, we have witnessed increasing numbers of infections and associated deaths worldwide. Although the case fatality rate for SARS-CoV-2 infection (ie, the total number of deaths in patients positive for SARS-CoV-2 divided by the total number of people with a positive test) is not high, given the huge scale of the pandemic, the actual numbers of deaths are considerable. In The Lancet Respiratory Medicine, Jason Phua and colleagues provide an excellent overview of the current issues raised by COVID-19—in particular, the impact of the disease on intensive care. The Review is clearly and comprehensively written, covering many aspects of the disease, from epidemiology and diagnosis through to intensive care treatment and resource management. One issue raised by this Review is how the reported case fatality rates for patients with COVID-19 can be accurately interpreted. Currently reported case fatality rates vary from 1% to more than 7%, but these values must be interpreted with caution. For example, where massive screening has been performed in the whole population (eg, in South Korea and Switzerland), overall case fatality rates of less than 1% have been reported, because the denominator included many mild or asymptomatic cases. However, in countries where only people requiring hospital admission are being screened (eg, Italy and Spain), case fatality rates have exceeded 5%, because the denominator is much smaller. The actual cause of death is also important in interpreting case fatality rates. Respiratory failure is obviously the main cause, as was also the case in previous viral pandemics, such as the Spanish flu of 1918. Today, however, many patients can be supported by invasive mechanical ventilation until the lungs recover. If the situation deteriorates, use of extracorporeal membrane oxygenation (ECMO) systems can control gas exchange for weeks. COVID-19 is sometimes complicated by shock and multiple organ failure,4, 5 but the real course of the disease is not yet well described. Knowing that non-survivors are more likely to have low lymphocyte counts or high C-reactive protein or D-dimer levels3, 6, 7 provides no information about the actual process of death. The precise role of secondary bacterial infections has also not been well defined. Ethical issues also have a relevant role in interpreting case fatality rates, especially when the elderly and frail are more at risk and when resources are stretched so that some form of rationing or triage might become necessary. In such a scenario, differentiating whether the cause of death is specifically due to COVID-19 or the result of treatment limitations can be difficult. Among patients who die before reaching the hospital, some will present too late in the course of the disease to be saved, whereas end-of-life care will be viewed as preferable for others because little chance of survival with a meaningful quality of life exists. In some patients, this decision might be influenced by known individual preferences. Similarly, not all critically ill patients in hospital will be admitted to the intensive care unit (ICU), because the chances of meaningful survival for some will be viewed as too low; for these patients, non-invasive ventilation and perhaps even some vasopressor support could be provided in so-called middle care units, but in case of further deterioration, mechanical ventilation will not be considered and death will occur because of severe hypoxaemia. As noted by Phua and colleagues, a quarter of patients who died early in the Wuhan, China, outbreak did not receive invasive ventilation. Patients who deteriorate despite mechanical ventilation can be placed on resource-intensive ECMO systems (figure ). The decision not to use ECMO might be made because the support system is not available or because such care is considered to be disproportionate in the context of limited staff numbers. The same considerations might apply to patients who develop renal failure. Use of renal replacement therapies is uncommon in those with COVID-19,4, 6, 7 although acute kidney injury might occur in a third of patients.
Figure

Possible paths to death and recovery in patients needing respiratory support

CPAP=continuous positive airway pressure. ECMO=extracorporeal membrane oxygenation. NIV=non-invasive ventilation.

Possible paths to death and recovery in patients needing respiratory support CPAP=continuous positive airway pressure. ECMO=extracorporeal membrane oxygenation. NIV=non-invasive ventilation. Several different scenarios can thus be considered when interpreting deaths from COVID-19. First, for patients admitted to the ICU, death might occur despite full intensive care support, including mechanical ventilation, ECMO, vasopressors, and renal replacement therapy. On modern ICUs, such deaths are expected to be infrequent; however, robust estimates of the number of deaths cannot be made from the mostly descriptive reports currently available. A second possible scenario for ICU and hospital patients is related to limitation of life-sustaining therapies because of poor predicted outcomes associated with old age, frailty, comorbidities, or profound disability, or because of effects of distributive limitations associated with lack of personnel, beds, or materials. A combination of these two factors often exists. A third scenario relates to patients admitted to the ICU or hospital whose deaths are not directly related to COVID-19. Especially in areas with high infection rates, patients might be admitted to the ICU with, for example, severe trauma or acute brain injury, test positive for SARS-CoV-2 during the ICU stay, and eventually die because of the initial injury; these deaths will still be attributed to COVID-19 and included in the statistics. Similarly, some patients might have SARS-CoV-2 infection, but the actual contribution of the virus to the patient's death might be minimal. For example, in a patient with metastatic cancer or terminal organ failure, is the viral infection or the patient's underlying condition the cause of death? The actual role of SARS-CoV-2 infection in such deaths is particularly difficult to evaluate in countries where only one cause can be reported on a death certificate. To be able to better interpret case fatality rates, more data are thus needed (panel ). First, the type and severity of organ failure: what are the real contributions of respiratory or cardiovascular failure? How many patients died with isolated respiratory failure, in shock or with acute kidney injury or multiple organ failure? Second, the actual process of death, including therapeutic limitation when present and the relative contributions of patient factors (eg, age and comorbidities) or environmental factors (eg, lack of facilities, beds, personnel, or equipment). Last, the real contribution to death of SARS-CoV-2 infection, because COVID-19 can be an epiphenomenon in some patients. Predominant terminal organ failure Terminal respiratory failure: mechanical ventilation and ECMO used Terminal respiratory failure: mechanical ventilation used, ECMO available but not used Terminal respiratory failure: mechanical ventilation used, ECMO not available Respiratory failure: mechanical ventilation available but not used Respiratory failure: mechanical ventilation hardly or not available Septic shock, multiple organ failure Cardiogenic shock (acute myocardial injury or myocarditis) Other Proportionality of care in the dying process Withholding life support: life support available but considered to be disproportionate; life support hardly available (significant constraints) Withdrawing life support Full care but no cardiopulmonary resuscitation Full care including cardiopulmonary resuscitation Involvement of COVID-19 in the dying process Death attributed only to COVID-19 (previously healthy, predicted long life expectancy) Death primarily due to old age, frailty, or advanced disease (COVID-19 is an epiphenomenon) Death due to COVID-19 in an individual with limited life expectancy COVID-19=coronavirus disease 2019. ECMO=extracorporeal membrane oxygenation. We have learnt a lot in a relatively short period of time, and the Review by Phua and colleagues summarises this knowledge well. However, we still have a lot to learn. Among the many unanswered questions is the key issue related to the actual process leading to death. Global numbers of deaths and case fatality rates provide only crude information.
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1.  Fair Allocation of Scarce Medical Resources in the Time of Covid-19.

Authors:  Ezekiel J Emanuel; Govind Persad; Ross Upshur; Beatriz Thome; Michael Parker; Aaron Glickman; Cathy Zhang; Connor Boyle; Maxwell Smith; James P Phillips
Journal:  N Engl J Med       Date:  2020-03-23       Impact factor: 91.245

2.  Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy.

Authors:  Graziano Onder; Giovanni Rezza; Silvio Brusaferro
Journal:  JAMA       Date:  2020-05-12       Impact factor: 56.272

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

Review 4.  Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations.

Authors:  Jason Phua; Li Weng; Lowell Ling; Moritoki Egi; Chae-Man Lim; Jigeeshu Vasishtha Divatia; Babu Raja Shrestha; Yaseen M Arabi; Jensen Ng; Charles D Gomersall; Masaji Nishimura; Younsuck Koh; Bin Du
Journal:  Lancet Respir Med       Date:  2020-04-06       Impact factor: 30.700

5.  Coronavirus epidemic: preparing for extracorporeal organ support in intensive care.

Authors:  Claudio Ronco; Paolo Navalesi; Jean Louis Vincent
Journal:  Lancet Respir Med       Date:  2020-02-06       Impact factor: 30.700

6.  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

7.  Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.

Authors:  Qiurong Ruan; Kun Yang; Wenxia Wang; Lingyu Jiang; Jianxin Song
Journal:  Intensive Care Med       Date:  2020-03-03       Impact factor: 17.440

8.  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

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.  Critical care crisis and some recommendations during the COVID-19 epidemic in China.

Authors:  Jianfeng Xie; Zhaohui Tong; Xiangdong Guan; Bin Du; Haibo Qiu; Arthur S Slutsky
Journal:  Intensive Care Med       Date:  2020-03-02       Impact factor: 41.787

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Authors:  Renato D Lopes; Ariane Vieira Scarlatelli Macedo; Pedro Gabriel Melo de Barros E Silva; Renata Junqueira Moll-Bernardes; Andre Feldman; Guilherme D'Andréa Saba Arruda; Andrea Silvestre de Souza; Denilson Campos de Albuquerque; Lilian Mazza; Mayara Fraga Santos; Natalia Zerbinatti Salvador; C Michael Gibson; Christopher B Granger; John H Alexander; Olga Ferreira de Souza
Journal:  Am Heart J       Date:  2020-05-13       Impact factor: 4.749

2.  A Paradigm Gap in Host-Pathogen Interaction Studies: Lesson from the COVID-19 Pandemic.

Authors:  Murugesan Pooranachithra; Balasubramanian Chellammal Muthubharathi; Krishnaswamy Balamurugan
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Risk factors associated with the need for oxygen therapy in patients with COVID-19.

Authors:  Chang Suk Noh; Won-Young Kim; Moon Seong Baek
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

4.  Development and validation of a machine learning model to predict mortality risk in patients with COVID-19.

Authors:  Anna Stachel; Kwesi Daniel; Dan Ding; Fritz Francois; Michael Phillips; Jennifer Lighter
Journal:  BMJ Health Care Inform       Date:  2021-05

5.  Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19.

Authors:  Prem Timsina; Arash Kia; Prathamesh Parchure; Himanshu Joshi; Kavita Dharmarajan; Robert Freeman; David L Reich; Madhu Mazumdar
Journal:  BMJ Support Palliat Care       Date:  2020-09-22       Impact factor: 3.568

6.  Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England.

Authors:  Quentin J Leclerc; Naomi M Fuller; Ruth H Keogh; Karla Diaz-Ordaz; Richard Sekula; Malcolm G Semple; Katherine E Atkins; Simon R Procter; Gwenan M Knight
Journal:  BMC Health Serv Res       Date:  2021-06-09       Impact factor: 2.655

7.  Prognostic Factors and Predictors of In-Hospital Mortality Among COVID-19 Patients Admitted to the Intensive Care Unit: An Aid for Triage, Counseling, and Resource Allocation.

Authors:  Waleed Burhamah; Iman Qahi; Melinda Oroszlányová; Sameera Shuaibi; Razan Alhunaidi; May Alduwailah; Maryam Alhenaidi; Zahraa Mohammad
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8.  A mouse model of lethal respiratory dysfunction for SARS-CoV-2 infection.

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Review 9.  How is the iceberg of COVID-19? Results from a rapid literature review.

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10.  Acuity level of care as a predictor of case fatality and prolonged hospital stay in patients with COVID-19: a hospital-based observational follow-up study from Pakistan.

Authors:  Aysha Almas; Zain Mushtaq; Jette Moller
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