Literature DB >> 32344011

Mild versus severe COVID-19: Laboratory markers.

Thirumalaisamy P Velavan1, Christian G Meyer2.   

Abstract

The number of COVID-19 patients is dramatically increasing worldwide. Treatment in intensive care units (ICU) has become a major challenge; therefore, early recognition of severe forms is absolutely essential for timely triaging of patients. While the clinical status, in particular peripheral oxygen saturation (SpO2) levels, and concurrent comorbidities of COVID-19 patients largely determine the need for their admittance to ICUs, several laboratory parameters may facilitate the assessment of disease severity. Clinicians should consider low lymphocyte count as well as the serum levels of CRP, D-dimers, ferritin, cardiac troponin and IL-6, which may be used in risk stratification to predict severe and fatal COVID-19 in hospitalised patients. It is more likely that the course of the disease will be unfavourable if some or all of these parameters are altered.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Biomarkers; COVID-19; Laboratory markers; Mild and severe COVID-19

Mesh:

Substances:

Year:  2020        PMID: 32344011      PMCID: PMC7194601          DOI: 10.1016/j.ijid.2020.04.061

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


As the number of COVID-19 patients is dramatically increasing worldwide and treatment in intensive care units (ICU) has become a major challenge, early recognition of severe forms of COVID-19 is absolutely essential for timely triaging of patients. SARS-CoV-2 infection, especially in older patients and those with pre-existing illness, can progress to severe disease with critical respiratory symptoms and significant pulmonary changes visible by imaging techniques. The changes include ground glass opacities, patchy consolidation, alveolar exudates and interlobular involvement, ultimately prognosticating deterioration (Huang et al., 2020). Further to the recognised risk factors such as old age and underlying comorbidities–particularly cardiovascular diseases, diabetes, respiratory diseases, and other conditions (Zhou et al., 2020)–several markers have been identified that modulate the course of COVID-19. This paper summarises the laboratory markers that might be useful in indicating progression from mild to severe disease (Table 1 ).
Table 1

Haematological, cytokine, liver enzyme and coagulation parameters in mild versus severe COVID19 patients.

Haematological parametersCOVID-19 cases (n)InterpretationReference
White blood cell count (WBC)15 mild, 9 severe, 5 critical casesnormal or ↓ in 23/29(Chen et al., 2020a)
41 cases (13 ICU cases)↑ in ICU cases(Huang et al., 2020)
43 (28 mild, 15 severe)normal in all cases(Gao et al., 2020)
1,994 cases (meta-analysis)↓ in 29% of cases(Li et al., 2020a)
54 casesnormal in cases(Li et al., 2020b)
Neutrophil count41 cases (13 ICU cases)↑ in ICU cases(Huang et al., 2020)
201 cases↑ in ARDS cases(Wu et al., 2020)
12 cases↓ in most cases(Liu et al., 2020a)
Lymphocyte countFamilial cluster, 6 cases↓in 2 of 3 cases > 60 years(Chan et al., 2020)
15 mild, 9 severe, 5 critical cases↓ in 20/29(Chen et al., 2020a)
41 cases (13 ICU cases)↓ in ICU cases(Huang et al., 2020)
140 cases↓ in most cases(Zhang et al., 2020b)
43 (28 mild, 15 severe)normal in cases(Gao et al., 2020)
1,994 cases (meta-analysis)↓ in most cases(Li et al., 2020a)
54 cases↓ in most cases(Li et al., 2020b)
12 cases↓ in most cases(Liu et al., 2020a)
30 cases↓ in 40% cases(Liu et al., 2020b)
70 mild, 85 severe cases↓ in all cases(Mo et al., 2020)
Eosinophil count140 cases↓ in most cases(Zhang et al., 2020b)
Thrombocyte countFamilial cluster, 6 cases↓ in 2 of 3 cases > 60 years(Chan et al., 2020)
70 mild, 85 severe casesnormal; slightly lower in severe cases(Mo et al., 2020)
Granulocyte-colony stimulating factor (G-CSF)41 cases (13 ICU cases)↑ in ICU cases(Huang et al., 2020)
CD8 cell count12 cases↓ in most cases(Liu et al., 2020a)

Abbreviations: ARDS, acute respiratory distress syndrome; ICU, intensive care unit; CD8, cluster of differentiation 8; SpO2, Peripheral oxygen saturation; NT-proBNP, N-terminal pro b-type natriuretic peptide

Haematological, cytokine, liver enzyme and coagulation parameters in mild versus severe COVID19 patients. Abbreviations: ARDS, acute respiratory distress syndrome; ICU, intensive care unit; CD8, cluster of differentiation 8; SpO2, Peripheral oxygen saturation; NT-proBNP, N-terminal pro b-type natriuretic peptide COVID-19 patients admitted to ICUs have been found to have higher concentrations of proinflammatory cytokines and, importantly, increased secretion of those T-helper-2 (Th2) cytokines suppressing inflammation (Huang et al., 2020). Given the high levels of cytokines induced by SARS-CoV-2, treatment to reduce inflammation-related lung damage is critical. However, any intervention to reduce inflammation will negatively affect viral clearance. Among the various inflammatory cytokine and chemokine levels assessed in several studies, tumour necrosis factor alpha (TNF-α), interferon-γ-induced protein 10 (IP-10), monocyte chemoattractant protein 1 (MCP-1), chemokine (C-C motif), ligand 3 (CCL-3), and distinct interleukins (IL) (IL-2, IL-6, IL-7, IL-10) were significantly associated with disease severity and particularly observed among cases admitted to ICUs. IL-1 and IL-8 were not associated with severity (Table 1). Apparently, the serum levels of some interleukins have the potential to discriminate between mild and severe disease and possibly may be used as prognostic markers. Among haematological parameters, lymphopenia is clearly associated with disease severity; patients who have died from COVID-19 have had significantly lower lymphocyte counts than survivors. In fact, repletion of lymphocytes may be an important factor for recovery (Henry, 2020). Other blood cells–including white blood cells, neutrophils, eosinophils, platelets, and CD8 cell counts–were partial predictors in discriminating mild from severe COVID-19 (Table 1); their significance is still ambiguous. Granulocyte colony stimulating factor (G-CSF) has been found to be elevated in ICU patients and significantly associated with disease severity (Table 1). Patients with severe COVID-19 appear to have more frequent signs of liver dysfunction than those with milder disease. An increase in alanine aminotransferase (ALT), aspartate aminotransferase (AST) and total bilirubin levels has been observed among many ICU patients (Zhang et al., 2020a) (Table 1). Infection of liver cells with SARS-CoV-2 cannot be excluded as 2–10% of patients with COVID-19 have diarrhoea and viral RNA has been detected in both stool and blood samples, which implies the possibility of hepatic virus presence (Yeo et al., 2020). It is also likely that any immune-mediated inflammation, in particular cytokine storm, but also pneumonia-associated hypoxia, may lead to liver damage in critically ill COVID-19 patients (Zhang et al., 2020a). C-reactive protein (CRP) levels are increased in COVID-19 patients and it has been shown that survivors had median CRP values of approximately 40 mg/L, while non-survivors had median values of 125 mg/L, indicating a strong correlation with disease severity and prognosis (Ruan et al., 2020) (Table 1). Other predictors of poor outcome include the serum levels of ferritin and lactate dehydrogenase (LDH). Elevated ferritin levels due to secondary haemophagocytic lymphohistiocytosis (sHLH) and cytokine storm syndrome have been reported in severe COVID-19 patients. Based on body temperature, organomegaly, blood cell cytopenia, triglycerides, fibrinogen, AST and ferritin levels, a predictive H-score has been proposed to estimate the risk of developing secondary haemophagocytic lymphohistiocytosis (Mehta et al., 2020). Correlations of abnormal coagulation parameters with poor prognosis have been observed (Table 1). Non-survivors have shown significantly higher levels of plasma D-dimers and fibrin degradation products, increased prothrombin times and activated partial thromboplastin times compared to survivors (Tang et al., 2020). Coagulopathy and overt disseminated intravascular coagulation appear to be associated with high mortality rates. Among the coagulation parameters, D-dimer elevation > 1 ug/L was the strongest independent predictor of mortality (Zhou et al., 2020). Elevated cardiac troponin I levels indicating heart injury were also predictive of mortality in critically ill patients (Lippi et al., 2020, Wang et al., 2020a). The haematological and coagulation parameters summarised here and increased inflammatory reactions caused by various cytokines and liver enzymes are a globally observed phenomenon in COVID-19 patients. While the clinical status (in particular SpO2 levels) and concurrent comorbidities of COVID-19 patients largely determine the need for their admittance to ICUs, several laboratory parameters may facilitate the assessment of disease severity and rational triaging. It is more likely that the course of the disease will be unfavourable if some or all of these parameters are altered. Clinicians should consider low lymphocyte count and the serum levels of CRP, D-dimers, ferritin, cardiac troponin and IL-6, which may be used in risk stratification to predict severe and fatal COVID-19 in hospitalised patients. In order to further support clinical decision-making, large datasets and sound meta-analyses are now urgently required.

Conflict of interest

All authors disclose no conflict of interest.

Funding Source

European and Developing Countries Clinical Trials Partnership (EDCTP) Pan African Network for Rapid Research, Response, and Preparedness for Infectious Diseases Epidemics consortium (PANDORA-ID-NET- EDCTP grant ID: RIA2016E-1609).
  23 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 characteristics of 30 medical workers infected with new coronavirus pneumonia].

Authors:  M Liu; P He; H G Liu; X J Wang; F J Li; S Chen; J Lin; P Chen; J H Liu; C H Li
Journal:  Zhonghua Jie He He Hu Xi Za Zhi       Date:  2020-02-17

3.  Prominent changes in blood coagulation of patients with SARS-CoV-2 infection.

Authors:  Huan Han; Lan Yang; Rui Liu; Fang Liu; Kai-Lang Wu; Jie Li; Xing-Hui Liu; Cheng-Liang Zhu
Journal:  Clin Chem Lab Med       Date:  2020-06-25       Impact factor: 3.694

4.  [Analysis of myocardial injury in patients with COVID-19 and association between concomitant cardiovascular diseases and severity of COVID-19].

Authors:  C Chen; C Chen; J T Yan; N Zhou; J P Zhao; D W Wang
Journal:  Zhonghua Xin Xue Guan Bing Za Zhi       Date:  2020-07-24

5.  [Comparison of the clinical characteristics between RNA positive and negative patients clinically diagnosed with coronavirus disease 2019].

Authors:  Y Y Li; W N Wang; Y Lei; B Zhang; J Yang; J W Hu; Y L Ren; Q F Lu
Journal:  Zhonghua Jie He He Hu Xi Za Zhi       Date:  2020-05-12

6.  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

Review 7.  COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis.

Authors:  Long-Quan Li; Tian Huang; Yong-Qing Wang; Zheng-Ping Wang; Yuan Liang; Tao-Bi Huang; Hui-Yun Zhang; Weiming Sun; Yuping Wang
Journal:  J Med Virol       Date:  2020-03-23       Impact factor: 2.327

8.  Clinical Characteristics of Refractory Coronavirus Disease 2019 in Wuhan, China.

Authors:  Pingzheng Mo; Yuanyuan Xing; Yu Xiao; Liping Deng; Qiu Zhao; Hongling Wang; Yong Xiong; Zhenshun Cheng; Shicheng Gao; Ke Liang; Mingqi Luo; Tielong Chen; Shihui Song; Zhiyong Ma; Xiaoping Chen; Ruiying Zheng; Qian Cao; Fan Wang; Yongxi Zhang
Journal:  Clin Infect Dis       Date:  2021-12-06       Impact factor: 9.079

9.  COVID-19: consider cytokine storm syndromes and immunosuppression.

Authors:  Puja Mehta; Daniel F McAuley; Michael Brown; Emilie Sanchez; Rachel S Tattersall; Jessica J Manson
Journal:  Lancet       Date:  2020-03-16       Impact factor: 79.321

10.  Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury.

Authors:  Yingxia Liu; Yang Yang; Cong Zhang; Fengming Huang; Fuxiang Wang; Jing Yuan; Zhaoqin Wang; Jinxiu Li; Jianming Li; Cheng Feng; Zheng Zhang; Lifei Wang; Ling Peng; Li Chen; Yuhao Qin; Dandan Zhao; Shuguang Tan; Lu Yin; Jun Xu; Congzhao Zhou; Chengyu Jiang; Lei Liu
Journal:  Sci China Life Sci       Date:  2020-02-09       Impact factor: 6.038

View more
  155 in total

1.  Children and the American Rescue Plan: countering COVID-19 vaccine hesitancy during a global pandemic.

Authors:  Shetal Shah
Journal:  Pediatr Res       Date:  2021-05-25       Impact factor: 3.756

2.  Extracorporeal Blood Purification in Moderate and Severe COVID-19 Patients: A Prospective Cohort Study.

Authors:  Rodney Alexander Rosalia; Petar Ugurov; Dashurie Neziri; Simona Despotovska; Emilija Kostoska; Lidija Veljanovska-Kiridjievska; Dimche Kuzmanov; Aleksandar Trifunovski; Dijana Popevski; Gianluca Villa; Zan Mitrev
Journal:  Blood Purif       Date:  2021-06-14       Impact factor: 2.614

3.  Is there a link between pre-existing antibodies acquired due to childhood vaccinations or past infections and COVID-19? A case control study.

Authors:  Bilge Sumbul; Hilmi Erdem Sumbul; Ramazan Azim Okyay; Erdinç Gülümsek; Ahmet Rıza Şahin; Baris Boral; Burhan Fatih Koçyiğit; Mostafa Alfishawy; Jeffrey Gold; Alİ Muhittin Tasdogan
Journal:  PeerJ       Date:  2021-02-09       Impact factor: 2.984

4.  Vitamin D Levels in COVID-19 Outpatients from Western Mexico: Clinical Correlation and Effect of Its Supplementation.

Authors:  Gabriela Athziri Sánchez-Zuno; Guillermo González-Estevez; Mónica Guadalupe Matuz-Flores; Gabriela Macedo-Ojeda; Jorge Hernández-Bello; Jesús Carlos Mora-Mora; Edsaúl Emilio Pérez-Guerrero; Mariel García-Chagollán; Natali Vega-Magaña; Francisco Javier Turrubiates-Hernández; Andrea Carolina Machado-Sulbaran; José Francisco Muñoz-Valle
Journal:  J Clin Med       Date:  2021-05-28       Impact factor: 4.241

5.  Cytokines and Leukocytes Subpopulations Profile in SARS-CoV-2 Patients Depending on the CT Score Severity.

Authors:  Elżbieta Rutkowska; Iwona Kwiecień; Magdalena Żabicka; Artur Maliborski; Agata Raniszewska; Krzysztof Kłos; Weronika Urbańska; Izabella Klajnowicz; Piotr Rzepecki; Andrzej Chciałowski
Journal:  Viruses       Date:  2021-05-11       Impact factor: 5.048

6.  Predicting Poor Outcome of COVID-19 Patients on the Day of Admission with the COVID-19 Score.

Authors:  Luke Tseng; Erin Hittesdorf; Mitchell F Berman; Desmond A Jordan; Nina Yoh; Katerina Elisman; Katherine A Eiseman; Yuqi Miao; Shuang Wang; Gebhard Wagener
Journal:  Crit Care Res Pract       Date:  2021-05-31

Review 7.  Immunothrombosis in COVID-19: Implications of Neutrophil Extracellular Traps.

Authors:  Brandon Bautista-Becerril; Rebeca Campi-Caballero; Samuel Sevilla-Fuentes; Laura M Hernández-Regino; Alejandro Hanono; Al Flores-Bustamante; Julieta González-Flores; Carlos A García-Ávila; Arnoldo Aquino-Gálvez; Manuel Castillejos-López; Armida Juárez-Cisneros; Angel Camarena
Journal:  Biomolecules       Date:  2021-05-06

8.  Predict Score: A New Biological and Clinical Tool to Help Predict Risk of Intensive Care Transfer for COVID-19 Patients.

Authors:  Mickael Gette; Sara Fernandes; Marion Marlinge; Marine Duranjou; Wijayanto Adi; Maelle Dambo; Pierre Simeone; Pierre Michelet; Nicolas Bruder; Regis Guieu; Julien Fromonot
Journal:  Biomedicines       Date:  2021-05-18

9.  Decreased Mortality Over Time During the First Wave in Patients With COVID-19 in Geriatric Care: Data From the Stockholm GeroCovid Study.

Authors:  Hong Xu; Sara Garcia-Ptacek; Martin Annetorp; Tommy Cederholm; Georg Engel; Malin Engström; Håkan Erlandsson; Charlotte Julius; Miia Kivipelto; Lars Göran Lundberg; Carina Metzner; Linda Sandberg; Josefina Skogö Nyvang; Carina Sühl Öberg; Elisabet Åkesson; Dorota Religa; Maria Eriksdotter
Journal:  J Am Med Dir Assoc       Date:  2021-06-12       Impact factor: 4.669

10.  SARS-CoV-2 infection paralyzes cytotoxic and metabolic functions of the immune cells.

Authors:  Yogesh Singh; Christoph Trautwein; Rolf Fendel; Naomi Krickeberg; Georgy Berezhnoy; Rosi Bissinger; Stephan Ossowski; Madhuri S Salker; Nicolas Casadei; Olaf Riess
Journal:  Heliyon       Date:  2021-05-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.