Literature DB >> 32253448

Clinicolaboratory study of 25 fatal cases of COVID-19 in Wuhan.

Wen-Jun Tu1, Jianlei Cao2, Lei Yu3, Xiaorong Hu4, Qiang Liu5.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32253448      PMCID: PMC7131987          DOI: 10.1007/s00134-020-06023-4

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


× No keyword cloud information.
Dear Editor, In December 2019, cases of pneumonia associated with a novel 2019 coronavirus emerged in Wuhan (Hubei Province, China) [1]. The causative agent was subsequently named SARS-CoV-2 and the resulting disease COVID-19. As of 17 March 2020, 80,894 cases of COVID-19 were reported in China of which 3237 (4%) were fatal. In Wuhan, 2490 (4.98%) of 50,005 cases died. In addition, 98,218 cases from 104 countries outside of China were laboratory-confirmed, of which 4189 (4.27%) were fatal. A previous study suggested that the condition of 11 (11%) patients worsened in a short period of time and they died of multiple organ failure [2], while Wang et al. [3] reported that 4.3% of COVID-19 cases were fatal. A national study of 1099 patients with COVID-19 found that 55 patients (5%) were admitted to an intensive care unit and 15 (1.36%) succumbed to the infection [4]. It is important to emphasize that most patients studied previously were hospitalized and thus the full spectrum of COVID-19 severity is still being elucidated [1-4]. We aimed to further explore the clinicolaboratory characteristics, hospital complications and treatments of 25 fatal cases of COVID-19. The clinicolaboratory characteristics of survivors (N = 149) and non-survivors were also compared. This was a single-center retrospective analysis. All consecutive fatal cases of COVID-19 admitted to Wuhan University Zhongnan Hospital from 3 January to 24 February 2020 were included. COVID-19 was confirmed using throat swab samples by real-time RT-PCR [3, 5]. Epidemiological, clinical and laboratory data as well as information on treatments received, hospital complications and causes of death were collected. Blood samples were collected at admission. The study was approved by the Ethics Committee of Wuhan University Zhongnan Hospital and informed consent was waived by the Ethics Committee. Twenty-five fatal COVID-19 cases were included. The median age of these patients was 70 years (interquartile range [IQR] 64–80 years) and 19 (76%) were men. The median time from onset of symptoms to hospital admission and death was 7 days (IQR 1–10 days) and 19 days (IQR 13–26 days), respectively. As shown in Table 1, fatal cases were older (70 years, IQR 64–80 years vs. 51 years, IQR 37–62 years), disproportionately male (76% vs. 40.3%) and more often suffered from comorbidities (64% vs. 24.2%; cardiovascular and cerebrovascular diseases: 32% vs. 7.4%) compared with non-fatal cases. Fatal cases were also more likely to be admitted to intensive care units (36% vs. 10.7%) and had higher medical expenses (53,745 CNY, IQR 30,286–112,268 CNY vs. 14,507 CNY, IQR 8813–27,617 CNY).
Table 1

Baseline characteristics and laboratory results of included cases of COVID-19

Non-survivorsSurvivorsp-value
N25149
Age (years)70 (64–80)51 (37–62)< 0.001
Sex—male19 (76.0)60 (40.3)< 0.001
BMI (kg/m2)24.6 (22.3–28.3)23.6 (21.6–25.6)0.125
Temperature at admission (°C)38.1 (37.1–39.0)38.0 (37.3–38.9)0.383
Comorbidities
 Any16 (64.0)36 (24.2)< 0.001
 Hypertension12 (48.0)25 (16.8)< 0.001
 Diabetes6 (24.0)11 (7.4)0.010
 Cardiovascular–cerebrovascular diseases8 (32.0)8 (7.4)< 0.001
 Respiratory diseases4 (16.0)8 (7.4)0.130
Onset of symptom to (days)
 Hospital admission7 (1–10)7 (3–9)0.381
 Death or discharge19 (13–26)20 (13–27)0.894
ICU admission9 (36.0)16 (10.7)0.003
Cost of hospitalization (CNY)53 745 (30 286–112 268)14 507 (8 813–27 617)< 0.001
Laboratory findings at admissiona
 White blood cell (109/l)6.88 (4.96–13.48)4.22 (3.21–5.91)< 0.001
  Elevated (> 9.5)10 (40.0)10 (6.7)< 0.001
 Lymphocyte (109/l)0.53 (0.33–0.82)0.92 (0.67–1.23)< 0.001
  Reduced (< 1.1 × 109/l)23 (92.0)99 (66.4)0.010
 IL-6 (pg/ml)108.8 (44.1–177.9)16.8 (4.4–76.9)< 0.001
  Elevated (> 2.9 pg/ml)25 (100.0)115 (77.2)0.017
 D-dimer (ng/ml)3306 (1790–7512)660 (370–1108)< 0.001
  Elevated (> 500 ng/ml)24 (96.0)89 (59.7)< 0.001
 CRP (mg/l)118 (22–184)22 (6–45)< 0.001
  Elevated (> 10 mg/l)25 (100.0)95 (63.8)< 0.001
Treatment
 Umifenovir3 (12.0)70 (47.0)0.001
 Oseltamivir16 (64.0)61 (40.9)0.032
 Lopinavir5 (20.0)46 (30.9)0.269
 Methylprednisolone18 (72.0)71 (47.7)0.024
 Noninvasive ventilation4 (16.0)5 (3.4)0.031
 Invasive mechanical ventilation17 (68.0)2 (1.3)< 0.001
 ECMO3 (12.0)3 (2.0)0.052
 CRRT7 (28.0)1 (0.7)< 0.001
Complications
 Shock and/or ARDS23 (92.0)8 (5.4)< 0.001
 Secondary bacterial infection20 (80.0)6 (4.0)< 0.001
 Acute cardiac injuryb18 (72.0)7 (4.7)< 0.001
 Acute kidney injury19 (76.0)8 (5.4)< 0.001
 Acute liver injury15 (60.0)30 (20.1)< 0.001
Cause of death
 MODS14 (56.0)
 ARDS2 (8.0)
 Cardiac arrest5 (20.0)
 Respiratory failure4 (16.0)

The results were presented as median (IQR) for continuous variables and number (%) for categorical variables. The different characteristics between death and survival groups were tested by Mann–Whitney U test (continuous variables) or Chi-square test (categorical variables). A two-sided a of less than 0.05 was considered statistically significant

ICU intensive care unit, BMI body mass index, CNY, China Yuan, IL-6 interleukin-6, CRP C reaction protein, ECMO extracorporeal membrane oxygenation, MODS multiple organ dysfunction syndrome, CRRT continuous renal replacement therapy, ARDS acute respiratory distress syndrome

aWe calculated the average value if one patient had multiple tests

bAcute cardiac injury was diagnosed if serum levels of cardiac biomarkers (e.g., troponin I) were above the 99th percentile upper reference limit, or new abnormalities were shown in electrocardiography and echocardiography

Baseline characteristics and laboratory results of included cases of COVID-19 The results were presented as median (IQR) for continuous variables and number (%) for categorical variables. The different characteristics between death and survival groups were tested by Mann–Whitney U test (continuous variables) or Chi-square test (categorical variables). A two-sided a of less than 0.05 was considered statistically significant ICU intensive care unit, BMI body mass index, CNY, China Yuan, IL-6 interleukin-6, CRP C reaction protein, ECMO extracorporeal membrane oxygenation, MODS multiple organ dysfunction syndrome, CRRT continuous renal replacement therapy, ARDS acute respiratory distress syndrome aWe calculated the average value if one patient had multiple tests bAcute cardiac injury was diagnosed if serum levels of cardiac biomarkers (e.g., troponin I) were above the 99th percentile upper reference limit, or new abnormalities were shown in electrocardiography and echocardiography During the study period, 174 patients (all COVID-19-positive hospital admissions) had an outcome (death or discharge). Thus, the case fatality rate was 14.4% (95% CI 9.2–19.6%). The most common cause of death was multiple organ dysfunction syndrome (56%). Cardiac arrest (20%), respiratory failure (16%) and acute respiratory distress syndrome (16%) were other causes of death (Table 1). Acute respiratory distress syndrome (shock), secondary bacterial infection and acute cardiac/kidney/liver injury were common during hospitalization. Most patients were treated with methylprednisolone (76%), invasive mechanical ventilation (68%) and oseltamivir (64%). Fatal cases experienced hospital complications and received aggressive treatment strategies more often than non-fatal cases (Table 1). Interestingly, fatal cases were treated more often with oseltamivir and methylprednisolone, but less often with umifenovir (Table 1). Serum levels of interleukin-6, C-reactive protein and D-dimer were higher in non-survivors than in survivors, while lymphocyte counts were lower (Table 1, Fig. 1). Nearly, all fatal cases had abnormal coagulation, and 24 (96%) fatal cases showed elevated D-dimer levels. All fatal cases showed evidence of cytokine abnormalities and establishment of an inflammatory state as demonstrated by elevated interleukin-6 and C-reactive protein levels.
Fig. 1

Blood levels of biomarkers in non-survivors and survivors of COVID-19. a Levels of lymphocyte in non-survivors and survivors; b levels of interleukin-6 in non-survivors and survivors; c levels of C reaction protein in non-survivors and survivors; d levels of D-dimer in non-survivors and survivors. All data are medians and interquartile ranges (IQR), with dot plots representing all values

Blood levels of biomarkers in non-survivors and survivors of COVID-19. a Levels of lymphocyte in non-survivors and survivors; b levels of interleukin-6 in non-survivors and survivors; c levels of C reaction protein in non-survivors and survivors; d levels of D-dimer in non-survivors and survivors. All data are medians and interquartile ranges (IQR), with dot plots representing all values In summary, COVID-19 mortality is more common in older male patients with comorbidities and is mainly caused by multiple organ dysfunction syndrome. The roles of hypercoagulability and pathological inflammatory states should not be ignored. Similarly, other literature recently published in this population also showed that the increasing odds of in-hospital death associated with older age, the presence of underlying diseases, elevated inflammatory and d-dimer greater than 1 μg/ml on admission [6, 7]. An interferon-γ-related cytokine storm may be involved in immunopathological damage in SARS patients [8]. In addition, SARS patients with early-stage disease, especially those with subsequent poor outcomes, had very high numbers of tumor necrosis factor-α- and interleukin-6-producing cells in the blood [9]. Previous studies also reported that fatal cases of COVID-19 had higher levels of clotting factors and cytokines [1–3, 7]. We speculate that the pathogenesis of fatal cases might involve uncontrolled release of immune mediators (i.e., a ‘cytokine storm’). Ruan et al. [6] also suggested that COVID-19 mortality might be due to virus-activated “cytokine storm syndrome” or fulminant myocarditis [6]. Tocilizumab (a monoclonal antibody targeting the interleukin-6 receptor) had been used to treat cytokine storm syndrome [10], and a clinical trial to assess its use in COVID-19 patients has been registered. These findings offer new insights into the characteristics of fatal cases of COVID-19, which may help identify patients at high risk of severe disease or death. The limitations of this study are listed in the supplementary material. Below is the link to the electronic supplementary material. Supplementary material 1 (DOCX 15 kb)
  9 in total

1.  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

2.  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

3.  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

4.  An interferon-gamma-related cytokine storm in SARS patients.

Authors:  Kao-Jean Huang; Ih-Jen Su; Michel Theron; Yi-Chun Wu; Shu-Kuan Lai; Ching-Chuan Liu; Huan-Yao Lei
Journal:  J Med Virol       Date:  2005-02       Impact factor: 2.327

5.  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

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.  Prolonged disturbances of in vitro cytokine production in patients with severe acute respiratory syndrome (SARS) treated with ribavirin and steroids.

Authors:  B M Jones; E S K Ma; J S M Peiris; P C Wong; J C M Ho; B Lam; K N Lai; K W T Tsang
Journal:  Clin Exp Immunol       Date:  2004-03       Impact factor: 4.330

8.  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

9.  Clinical features and short-term outcomes of 18 patients with corona virus disease 2019 in intensive care unit.

Authors:  Jianlei Cao; Xiaorong Hu; Wenlin Cheng; Lei Yu; Wen-Jun Tu; Qiang Liu
Journal:  Intensive Care Med       Date:  2020-03-02       Impact factor: 41.787

  9 in total
  31 in total

1.  Iron metabolism and lymphocyte characterisation during Covid-19 infection in ICU patients: an observational cohort study.

Authors:  Giuliano Bolondi; Emanuele Russo; Emiliano Gamberini; Alessandro Circelli; Manlio Cosimo Claudio Meca; Etrusca Brogi; Lorenzo Viola; Luca Bissoni; Venerino Poletti; Vanni Agnoletti
Journal:  World J Emerg Surg       Date:  2020-06-30       Impact factor: 5.469

Review 2.  [Ultrasound in the management of the critically ill patient with SARS-CoV-2 infection (COVID-19): narrative review].

Authors:  V Fraile Gutiérrez; J M Ayuela Azcárate; D Pérez-Torres; L Zapata; A Rodríguez Yakushev; A Ochagavía
Journal:  Med Intensiva (Engl Ed)       Date:  2020-05-04

Review 3.  Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)-Associated Urogenital Disease: A Current Update.

Authors:  Guangdi Chu; Wei Jiao; Fei Xie; Mingxin Zhang; Haitao Niu
Journal:  World J Mens Health       Date:  2020-10-28       Impact factor: 5.400

4.  Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

Authors:  Stephan Katzenschlager; Alexandra J Zimmer; Claudius Gottschalk; Jürgen Grafeneder; Stephani Schmitz; Sara Kraker; Marlene Ganslmeier; Amelie Muth; Alexander Seitel; Lena Maier-Hein; Andrea Benedetti; Jan Larmann; Markus A Weigand; Sean McGrath; Claudia M Denkinger
Journal:  PLoS One       Date:  2021-07-29       Impact factor: 3.240

5.  Eosinopenia is associated with greater severity in patients with coronavirus disease 2019.

Authors:  Lei Zhao; Ye-Ping Zhang; Xinchun Yang; Xin Liu
Journal:  Allergy       Date:  2020-07-13       Impact factor: 14.710

6.  SARS-CoV-2 IgG and IgA antibody response is gender dependent; and IgG antibodies rapidly decline early on.

Authors:  Wolfgang Korte; Marija Buljan; Matthias Rösslein; Peter Wick; Valentina Golubov; Jana Jentsch; Michael Reut; Karen Peier; Brigitte Nohynek; Aldo Fischer; Raphael Stolz; Michele Cettuzzi; Oliver Nolte
Journal:  J Infect       Date:  2020-08-25       Impact factor: 6.072

7.  Association between D-Dimer levels and mortality in patients with coronavirus disease 2019 (COVID-19): a systematic review and pooled analysis.

Authors:  M Sakka; J M Connors; G Hékimian; I Martin-Toutain; B Crichi; I Colmegna; D Bonnefont-Rousselot; D Farge; C Frere
Journal:  J Med Vasc       Date:  2020-05-27

Review 8.  Special Article - Acute myocardial injury in patients hospitalized with COVID-19 infection: A review.

Authors:  Chirag Bavishi; Robert O Bonow; Vrinda Trivedi; J Dawn Abbott; Franz H Messerli; Deepak L Bhatt
Journal:  Prog Cardiovasc Dis       Date:  2020-06-06       Impact factor: 8.194

9.  Lopinavir-ritonavir and hydroxychloroquine for critically ill patients with COVID-19: REMAP-CAP randomized controlled trial.

Authors:  Yaseen M Arabi; Anthony C Gordon; Lennie P G Derde; Alistair D Nichol; Srinivas Murthy; Farah Al Beidh; Djillali Annane; Lolowa Al Swaidan; Abi Beane; Richard Beasley; Lindsay R Berry; Zahra Bhimani; Marc J M Bonten; Charlotte A Bradbury; Frank M Brunkhorst; Meredith Buxton; Adrian Buzgau; Allen Cheng; Menno De Jong; Michelle A Detry; Eamon J Duffy; Lise J Estcourt; Mark Fitzgerald; Rob Fowler; Timothy D Girard; Ewan C Goligher; Herman Goossens; Rashan Haniffa; Alisa M Higgins; Thomas E Hills; Christopher M Horvat; David T Huang; Andrew J King; Francois Lamontagne; Patrick R Lawler; Roger Lewis; Kelsey Linstrum; Edward Litton; Elizabeth Lorenzi; Salim Malakouti; Daniel F McAuley; Anna McGlothlin; Shay Mcguinness; Bryan J McVerry; Stephanie K Montgomery; Susan C Morpeth; Paul R Mouncey; Katrina Orr; Rachael Parke; Jane C Parker; Asad E Patanwala; Kathryn M Rowan; Marlene S Santos; Christina T Saunders; Christopher W Seymour; Manu Shankar-Hari; Steven Y C Tong; Alexis F Turgeon; Anne M Turner; Frank Leo Van de Veerdonk; Ryan Zarychanski; Cameron Green; Scott Berry; John C Marshall; Colin McArthur; Derek C Angus; Steven A Webb
Journal:  Intensive Care Med       Date:  2021-07-12       Impact factor: 17.440

10.  Risk factors for death in 1859 subjects with COVID-19.

Authors:  Lei Chen; Jianming Yu; Wenjuan He; Li Chen; Guolin Yuan; Fang Dong; Wenlan Chen; Yulin Cao; Jingyan Yang; Liling Cai; Di Wu; Qijie Ran; Lei Li; Qiaomei Liu; Wenxiang Ren; Fei Gao; Hongxiang Wang; Zhichao Chen; Robert Peter Gale; Qiubai Li; Yu Hu
Journal:  Leukemia       Date:  2020-06-16       Impact factor: 12.883

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.