» Articles » PMID: 32903476

The Impact of Pre-existing Comorbidities and Therapeutic Interventions on COVID-19

Overview
Journal Front Immunol
Date 2020 Sep 9
PMID 32903476
Citations 99
Authors
Affiliations
Soon will be listed here.
Abstract

Evidence from the global outbreak of SARS-CoV-2 has clearly demonstrated that individuals with pre-existing comorbidities are at a much greater risk of dying from COVID-19. This is of great concern for individuals living with these conditions, and a major challenge for global healthcare systems and biomedical research. Not all comorbidities confer the same risk, however, many affect the function of the immune system, which in turn directly impacts the response to COVID-19. Furthermore, the myriad of drugs prescribed for these comorbidities can also influence the progression of COVID-19 and limit additional treatment options available for COVID-19. Here, we review immune dysfunction in response to SARS-CoV-2 infection and the impact of pre-existing comorbidities on the development of COVID-19. We explore how underlying disease etiologies and common therapies used to treat these conditions exacerbate COVID-19 progression. Moreover, we discuss the long-term challenges associated with the use of both novel and repurposed therapies for the treatment of COVID-19 in patients with pre-existing comorbidities.

Citing Articles

In-silico evaluation of the T-cell based immune response against SARS-CoV-2 omicron variants.

Sharma S, Roy D, Cherian S Sci Rep. 2024; 14(1):25413.

PMID: 39455652 PMC: 11511884. DOI: 10.1038/s41598-024-75658-w.


COVID-19 risk factors and outcomes in individuals with stiff person syndrome spectrum disorders before and after omicron.

Afshar H, Simpson A, Taylor E, Miles A, Chen H, Newsome S Orphanet J Rare Dis. 2024; 19(1):356.

PMID: 39334235 PMC: 11428925. DOI: 10.1186/s13023-024-03357-w.


COVID-19 Recovery Time and Its Predictors among Hospitalized Patients in Designated Hospitals in the Madhesh Province of Nepal: A Multicentric Study.

Singh J, Acharya D, Gautam S, Neupane D, Bajgain B, Mishra R Healthcare (Basel). 2024; 12(17).

PMID: 39273716 PMC: 11395077. DOI: 10.3390/healthcare12171691.


A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19.

Christodoulou A, Katsarou M, Emmanouil C, Gavrielatos M, Georgiou D, Tsolakou A BioTech (Basel). 2024; 13(3).

PMID: 39051337 PMC: 11270362. DOI: 10.3390/biotech13030022.


Convergence of inflammatory response: Salivary cytokine dynamics in coronavirus disease 2019 and periodontal disease.

Gupta S, Mohindra R, Ramola M, Kanta P, Singla M, Malhotra M J Indian Soc Periodontol. 2024; 28(1):113-121.

PMID: 38988958 PMC: 11232810. DOI: 10.4103/jisp.jisp_508_23.


References
1.
Wu L, Wang N, Chang Y, Tian X, Na D, Zhang L . Duration of antibody responses after severe acute respiratory syndrome. Emerg Infect Dis. 2008; 13(10):1562-4. PMC: 2851497. DOI: 10.3201/eid1310.070576. View

2.
Zhao J, Yuan Q, Wang H, Liu W, Liao X, Su Y . Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019. Clin Infect Dis. 2020; 71(16):2027-2034. PMC: 7184337. DOI: 10.1093/cid/ciaa344. View

3.
Qu J, Wu C, Li X, Zhang G, Jiang Z, Li X . Profile of Immunoglobulin G and IgM Antibodies Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Clin Infect Dis. 2020; 71(16):2255-2258. PMC: 7197626. DOI: 10.1093/cid/ciaa489. View

4.
Franceschi C, Campisi J . Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases. J Gerontol A Biol Sci Med Sci. 2014; 69 Suppl 1:S4-9. DOI: 10.1093/gerona/glu057. View

5.
Robbiani D, Gaebler C, Muecksch F, Lorenzi J, Wang Z, Cho A . Convergent antibody responses to SARS-CoV-2 in convalescent individuals. Nature. 2020; 584(7821):437-442. PMC: 7442695. DOI: 10.1038/s41586-020-2456-9. View