COVID-19-associated cytokine storm

Jump to navigation Jump to search

For COVID-19 frequently asked inpatient questions, click here
For COVID-19 frequently asked outpatient questions, click here

COVID-19 Microchapters

Home

Long COVID

Frequently Asked Outpatient Questions

Frequently Asked Inpatient Questions

Patient Information

Overview

Historical Perspective

Classification

Pathophysiology

Causes

Differentiating COVID-19 from other Diseases

Epidemiology and Demographics

Risk Factors

Screening

Natural History, Complications and Prognosis

Diagnosis

Diagnostic Study of Choice

History and Symptoms

Physical Examination

Laboratory Findings

Electrocardiogram

X-ray

Echocardiography and Ultrasound

CT scan

MRI

Other Imaging Findings

Other Diagnostic Studies

Treatment

Medical Therapy

Interventions

Surgery

Primary Prevention

Vaccines

Secondary Prevention

Future or Investigational Therapies

Ongoing Clinical Trials

Case Studies

Case #1

COVID-19-associated cytokine storm On the Web

Most recent articles

Most cited articles

Review articles

CME Programs

Powerpoint slides

Images

American Roentgen Ray Society Images of COVID-19-associated cytokine storm

All Images
X-rays
Echo & Ultrasound
CT Images
MRI

Ongoing Trials at Clinical Trials.gov

US National Guidelines Clearinghouse

NICE Guidance

FDA on COVID-19-associated cytokine storm

CDC on COVID-19-associated cytokine storm

COVID-19-associated cytokine storm in the news

Blogs on COVID-19-associated cytokine storm

Directions to Hospitals Treating Psoriasis

Risk calculators and risk factors for COVID-19-associated cytokine storm

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief:

Synonyms and keywords:

Overview

Historical Perspective

Classification

There is no established system for the classification of COVID-19-associated cytokine storm.

Pathophysiology

Causes

Coronavirus disease 2019 (COVID-19) is caused by a novel coronavirus called SARS-CoV-2 and is the cause of cytokine storm in COVID-19 infection.

Epidemiology and Demographics

The incidence/prevalence of [disease name] is approximately [number range] per 100,000 individuals worldwide.

OR

In [year], the incidence/prevalence of [disease name] was estimated to be [number range] cases per 100,000 individuals worldwide.

OR

In [year], the incidence of [disease name] is approximately [number range] per 100,000 individuals with a case-fatality rate of [number range]%.


Patients of all age groups may develop [disease name].

OR

The incidence of [disease name] increases with age; the median age at diagnosis is [#] years.

OR

[Disease name] commonly affects individuals younger than/older than [number of years] years of age.

OR

[Chronic disease name] is usually first diagnosed among [age group].

OR

[Acute disease name] commonly affects [age group].


There is no racial predilection to [disease name].

OR

[Disease name] usually affects individuals of the [race 1] race. [Race 2] individuals are less likely to develop [disease name].


[Disease name] affects men and women equally.

OR

[Gender 1] are more commonly affected by [disease name] than [gender 2]. The [gender 1] to [gender 2] ratio is approximately [number > 1] to 1.


The majority of [disease name] cases are reported in [geographical region].

OR

[Disease name] is a common/rare disease that tends to affect [patient population 1] and [patient population 2].

Risk Factors

There are no established risk factors for [disease name].

OR

The most potent risk factor in the development of [disease name] is [risk factor 1]. Other risk factors include [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] include [risk factor 1], [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] may be occupational, environmental, genetic, and viral.

Screening

There is insufficient evidence to recommend routine screening for [disease/malignancy].

OR

According to the [guideline name], screening for [disease name] is not recommended.

OR

According to the [guideline name], screening for [disease name] by [test 1] is recommended every [duration] among patients with [condition 1], [condition 2], and [condition 3].

Natural History, Complications, and Prognosis

  • Cytokine storm has no definition.it denotes a hyperactive immune response characterized by release of interferons, interleukins, TNF, chemokines and several other mediators. Since the SARS-Cov-1 cytokine elevation was associated with various adverse features.[5][6]
  • The characteristic of this phenomena could be considered as an indicator of adverse clinical outcome such as ARDs, Shock and ARF.[7]

Diagnosis

Diagnostic Study of Choice

Most important Cytokine concentration rise is :[8]

History and Symptoms

  • COVID-19 infected individual whom go through more adverse clinical manifestation, such as ARDS and high inflammatory states are more likely to undergo cytokine elevation.
  • For COVID-19 associated history and symptoms click here.

Physical Examination

For COVID-19 Physical examination click here.

Laboratory Findings

An elevated/reduced concentration of serum/blood/urinary/CSF/other [lab test] is diagnostic of [disease name].

OR

Laboratory findings consistent with the diagnosis of [disease name] include [abnormal test 1], [abnormal test 2], and [abnormal test 3].

OR

[Test] is usually normal among patients with [disease name].

OR

Some patients with [disease name] may have elevated/reduced concentration of [test], which is usually suggestive of [progression/complication].

OR

There are no diagnostic laboratory findings associated with [disease name].

Electrocardiogram

There are no ECG findings associated with [disease name].

OR

An ECG may be helpful in the diagnosis of [disease name]. Findings on an ECG suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

X-ray

There are no x-ray findings associated with [disease name].

OR

An x-ray may be helpful in the diagnosis of [disease name]. Findings on an x-ray suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no x-ray findings associated with [disease name]. However, an x-ray may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Echocardiography or Ultrasound

There are no echocardiography/ultrasound findings associated with [disease name].

OR

Echocardiography/ultrasound may be helpful in the diagnosis of [disease name]. Findings on an echocardiography/ultrasound suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no echocardiography/ultrasound findings associated with [disease name]. However, an echocardiography/ultrasound may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

CT scan

There are no CT scan findings associated with [disease name].

OR

[Location] CT scan may be helpful in the diagnosis of [disease name]. Findings on CT scan suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no CT scan findings associated with [disease name]. However, a CT scan may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

MRI

There are no MRI findings associated with [disease name].

OR

[Location] MRI may be helpful in the diagnosis of [disease name]. Findings on MRI suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no MRI findings associated with [disease name]. However, a MRI may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Other Imaging Findings

There are no other imaging findings associated with [disease name].

OR

[Imaging modality] may be helpful in the diagnosis of [disease name]. Findings on an [imaging modality] suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

Other Diagnostic Studies

There are no other diagnostic studies associated with [disease name].

OR

[Diagnostic study] may be helpful in the diagnosis of [disease name]. Findings suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

Other diagnostic studies for [disease name] include [diagnostic study 1], which demonstrates [finding 1], [finding 2], and [finding 3], and [diagnostic study 2], which demonstrates [finding 1], [finding 2], and [finding 3].

Treatment

Medical Therapy

  • There is no proven treatment suggested until now.
  • Potential therapies for reducing inflammation are:
    • Corticosteroids:[9]
      • Systemic use of corticosteroid use is not recomended by WHO based on evidence from patients with MERS and ARDS.
    • Tocilizumab:[10][11][12][13]
      • Toclizumab is an FDA approved drug used for cytokine release syndrome after Chimeric Antigen Receptor.infusion. which cause cytokine release storm.
      • It is IL-6 Receptor antibody, which is effective in similar clinical manifestations.
      • In some off label studies, it is shown that tocolizumab can cause improvement in patients.
    • Etoposide:[14]
    • Ruxolitinib:[15]
      • Jack1/2 inhibitor
      • It is used in hemophagocytic lymphohistiocytosis
      • In a prospective randomized trial it was shown to reduce levels of 7 cytokines compared to control group, which caused faster improvement in patients with sever infection.

Surgery

Surgical intervention is not recommended for the management of COVID-19-associated cytokine storm.

Primary Prevention

There are no established measures for the primary prevention of COVID-19-associated cytokine storm.

Secondary Prevention

There are no established measures for the secondary prevention of COVID-19-associated cytokine storm.

References

  1. https://www.cdc.gov/coronavirus/2019-ncov/about/index.html. Missing or empty |title= (help)
  2. Lu, Jian; Cui, Jie; Qian, Zhaohui; Wang, Yirong; Zhang, Hong; Duan, Yuange; Wu, Xinkai; Yao, Xinmin; Song, Yuhe; Li, Xiang; Wu, Changcheng; Tang, Xiaolu (2020). "On the origin and continuing evolution of SARS-CoV-2". National Science Review. doi:10.1093/nsr/nwaa036. ISSN 2095-5138.
  3. Huang, Chaolin; Wang, Yeming; Li, Xingwang; Ren, Lili; Zhao, Jianping; Hu, Yi; Zhang, Li; Fan, Guohui; Xu, Jiuyang; Gu, Xiaoying; Cheng, Zhenshun; Yu, Ting; Xia, Jiaan; Wei, Yuan; Wu, Wenjuan; Xie, Xuelei; Yin, Wen; Li, Hui; Liu, Min; Xiao, Yan; Gao, Hong; Guo, Li; Xie, Jungang; Wang, Guangfa; Jiang, Rongmeng; Gao, Zhancheng; Jin, Qi; Wang, Jianwei; Cao, Bin (2020). "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China". The Lancet. 395 (10223): 497–506. doi:10.1016/S0140-6736(20)30183-5. ISSN 0140-6736.
  4. https://www.cdc.gov/coronavirus/2019-ncov/about/transmission.html. Missing or empty |title= (help)
  5. Calfee, Carolyn S; Delucchi, Kevin; Parsons, Polly E; Thompson, B Taylor; Ware, Lorraine B; Matthay, Michael A (2014). "Subphenotypes in acute respiratory distress syndrome: latent class analysis of data from two randomised controlled trials". The Lancet Respiratory Medicine. 2 (8): 611–620. doi:10.1016/S2213-2600(14)70097-9. ISSN 2213-2600.
  6. Famous, Katie R.; Delucchi, Kevin; Ware, Lorraine B.; Kangelaris, Kirsten N.; Liu, Kathleen D.; Thompson, B. Taylor; Calfee, Carolyn S. (2017). "Acute Respiratory Distress Syndrome Subphenotypes Respond Differently to Randomized Fluid Management Strategy". American Journal of Respiratory and Critical Care Medicine. 195 (3): 331–338. doi:10.1164/rccm.201603-0645OC. ISSN 1073-449X.
  7. Sinha, Pratik; Delucchi, Kevin L.; Thompson, B. Taylor; McAuley, Daniel F.; Matthay, Michael A.; Calfee, Carolyn S. (2018). "Latent class analysis of ARDS subphenotypes: a secondary analysis of the statins for acutely injured lungs from sepsis (SAILS) study". Intensive Care Medicine. 44 (11): 1859–1869. doi:10.1007/s00134-018-5378-3. ISSN 0342-4642.
  8. Schultz, Duane R.; Arnold, Patricia I. (1990). "Properties of four acute phase proteins: C-reactive protein, serum amyloid a protein, α1-acid glycoprotein, and fibrinogen". Seminars in Arthritis and Rheumatism. 20 (3): 129–147. doi:10.1016/0049-0172(90)90055-K. ISSN 0049-0172.
  9. Huang, Chaolin; Wang, Yeming; Li, Xingwang; Ren, Lili; Zhao, Jianping; Hu, Yi; Zhang, Li; Fan, Guohui; Xu, Jiuyang; Gu, Xiaoying; Cheng, Zhenshun; Yu, Ting; Xia, Jiaan; Wei, Yuan; Wu, Wenjuan; Xie, Xuelei; Yin, Wen; Li, Hui; Liu, Min; Xiao, Yan; Gao, Hong; Guo, Li; Xie, Jungang; Wang, Guangfa; Jiang, Rongmeng; Gao, Zhancheng; Jin, Qi; Wang, Jianwei; Cao, Bin (2020). "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China". The Lancet. 395 (10223): 497–506. doi:10.1016/S0140-6736(20)30183-5. ISSN 0140-6736.
  10. Le, Robert Q.; Li, Liang; Yuan, Weishi; Shord, Stacy S.; Nie, Lei; Habtemariam, Bahru A.; Przepiorka, Donna; Farrell, Ann T.; Pazdur, Richard (2018). "FDA Approval Summary: Tocilizumab for Treatment of Chimeric Antigen Receptor T Cell‐Induced Severe or Life‐Threatening Cytokine Release Syndrome". The Oncologist. 23 (8): 943–947. doi:10.1634/theoncologist.2018-0028. ISSN 1083-7159.
  11. Xu, Xiao-Jun; Tang, Yong-Min (2014). "Cytokine release syndrome in cancer immunotherapy with chimeric antigen receptor engineered T cells". Cancer Letters. 343 (2): 172–178. doi:10.1016/j.canlet.2013.10.004. ISSN 0304-3835.
  12. Campins L, Boixeda R, Perez-Cordon L, Aranega R, Lopera C, Force L (2020). "Early tocilizumab treatment could improve survival among COVID-19 patients". Clin Exp Rheumatol. 38 (3): 578. PMID 32456769 Check |pmid= value (help).
  13. Morena, Valentina; Milazzo, Laura; Oreni, Letizia; Bestetti, Giovanna; Fossali, Tommaso; Bassoli, Cinzia; Torre, Alessandro; Cossu, Maria Vittoria; Minari, Caterina; Ballone, Elisabetta; Perotti, Andrea; Mileto, Davide; Niero, Fosca; Merli, Stefania; Foschi, Antonella; Vimercati, Stefania; Rizzardini, Giuliano; Sollima, Salvatore; Bradanini, Lucia; Galimberti, Laura; Colombo, Riccardo; Micheli, Valeria; Negri, Cristina; Ridolfo, Anna Lisa; Meroni, Luca; Galli, Massimo; Antinori, Spinello; Corbellino, Mario (2020). "Off-label use of tocilizumab for the treatment of SARS-CoV-2 pneumonia in Milan, Italy". European Journal of Internal Medicine. 76: 36–42. doi:10.1016/j.ejim.2020.05.011. ISSN 0953-6205.
  14. La Rosée, Paul (2015). "Treatment of hemophagocytic lymphohistiocytosis in adults". Hematology. 2015 (1): 190–196. doi:10.1182/asheducation-2015.1.190. ISSN 1520-4391.
  15. Cao, Yang; Wei, Jia; Zou, Liang; Jiang, Tiebin; Wang, Gaoxiang; Chen, Liting; Huang, Liang; Meng, Fankai; Huang, Lifang; Wang, Na; Zhou, Xiaoxi; Luo, Hui; Mao, Zekai; Chen, Xing; Xie, Jungang; Liu, Jing; Cheng, Hui; Zhao, Jianping; Huang, Gang; Wang, Wei; Zhou, Jianfeng (2020). "Ruxolitinib in treatment of severe coronavirus disease 2019 (COVID-19): A multicenter, single-blind, randomized controlled trial". Journal of Allergy and Clinical Immunology. 146 (1): 137–146.e3. doi:10.1016/j.jaci.2020.05.019. ISSN 0091-6749.


Template:WikiDoc Sources