Journal
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
Volume 29, Issue 5, Pages 3586-3599Publisher
ELSEVIER
DOI: 10.1016/j.sjbs.2022.02.006
Keywords
Comorbidities; SARS-CoV-2; Complications; Variants; Mortality
Categories
Ask authors/readers for more resources
This study focuses on the impact of COVID-19 on pre-existing comorbidities such as CVDs, NDs, COPD, highlighting that 75% of hospitalized COVID-19 patients have comorbidities. Common comorbidities include hypertension, NDs, diabetes, cancer, with older and polypharmacy patients at higher risk for COVID-19 complications.
Coronavirus disease is caused by the SARS-CoV-2 virus. The virus first appeared in Wuhan (China) in December 2019 and has spread globally. Till now, it affected 269 million people with 5.3 million deaths in 224 countries and territories. With the emergence of variants like Omicron, the COVID-19 cases grew exponentially, with thousands of deaths. The general symptoms of COVID-19 include fever, sore throat, cough, lung infections, and, in severe cases, acute respiratory distress syndrome, sepsis, and death. SARSCoV-2 predominantly affects the lung, but it can also affect other organs such as the brain, heart, and gastrointestinal system. It is observed that 75 % of hospitalized COVID-19 patients have at least one COVID-19 associated comorbidity. The most common reported comorbidities are hypertension, NDs, diabetes, cancer, endothelial dysfunction, and CVDs. Moreover, older and pre-existing polypharmacy patients have worsened COVID-19 associated complications. SARS-CoV-2 also results in the hypercoagulability issues like gangrene, stroke, pulmonary embolism, and other associated complications. This review aims to provide the latest information on the impact of the COVID-19 on pre-existing comorbidities such as CVDs, NDs, COPD, and other complications. This review will help us to understand the current scenario of COVID-19 and comorbidities; thus, it will play an important role in the management and decision-making efforts to tackle such complications. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available