Biology of COVID-19 and related viruses: Epidemiology, signs, symptoms, diagnosis, and treatment

Kaye, Alan D.; Cornett, Elyse M.; Brondeel, Kimberley C.; Lerner, Zachary I.; Knight, Haley E.; Erwin, Abigail P.; Charipova, Karina; Gress, Kyle; Urits, Ivan; Urman, Richard D.; Fox, Charles J.; Kevil, Christopher G.

doi:10.1016/j.bpa.2020.12.003

Cited by 15 publications

(25 citation statements)

References 102 publications

(164 reference statements)

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“…Methods for diagnosing COVID-19 include 1) nucleic acid amplification test (NAAT), 2) the serological test, and 3) the hematologic test. 5 Hematologic disorders can be divided into typical, most common, and hematologic abnormalities in conjunction with coagulopathy. 6 For example, a typical abnormality of COVID-19 disease is high levels of C-reactive protein (CRP) 7 and D-dimer.…”

Section: Introductionmentioning

confidence: 99%

Predictors of COVID-19 Hospital Treatment Outcome

Tomasiuk¹,

Dąbrowski²,

Smykiewicz³

et al. 2021

IJGM

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Background There are more than 228,394,572 confirmed cases and 4,690,186 confirmed deaths caused by COVID-19 worldwide. The magnitude of the COOVID-19 pandemic has stimulated research on the treatment and diagnosis of COVID-19 patients. Objective In this report, a battery of specific parameters was used to develop a model that allows prediction of the outcome of the COVID-19 treatment. These parameters are C-reactive protein, procalcitonin, fibrinogen, D-dimers, immature granulocytes, and interleukin-6. Methods The study was carried out on a sample of N = 49 survivors (22 men, 27 women) and 83 deceased patients (62 men, 21 women). The distribution of means and differences in means of the parameters studied between survivors and deceased patients were evaluated using the bootstrap method. Results A mathematical model that allows for the prediction of hospitalization outcome was obtained using the Naive Bayes model. The results demonstrated a statistically significant difference between survivors and deceased patients in all parameters studied. A mathematical model employing a battery of parameters provided a 97% precision in predicting the outcome of hospitalization. Conclusion This study showed that the cross-correlation of survivability with absolute levels of C-reactive protein, procalcitonin, fibrinogen, D-dimers, immature granulocytes, and interleukin-6 could be used successfully in the hospital setting as a diagnostic tool.

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Section: Introductionmentioning

confidence: 99%

Predictors of COVID-19 Hospital Treatment Outcome

Tomasiuk¹,

Dąbrowski²,

Smykiewicz³

et al. 2021

IJGM

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show abstract

“…Coronaviruses are well‐studied RNA viruses in the Coronaviridae family, order Nidovirales, containing positive single‐stranded RNA, which is identified as the most enormous viral RNA genome. 1 , 2 The virus is surrounded by an envelope with crown‐like spikes on its surface, resulting in a spherical shape roughly 80–120 nm in diameter. 3 …”

Section: Introductionmentioning

confidence: 99%

“… 4 , 5 Almost all coronaviruses are responsible for self‐limit and mild diseases in humans. 2 Surprisingly, in the ongoing century, three new zoonotic coronaviruses have been discovered, resulting in severe illnesses and global crises. 2 , 6 In 2002, severe acute respiratory syndrome (SARS) was first diagnosed in China, and a decade later, in 2012, the Middle East respiratory syndrome (MERS) was discovered in Saudi Arabia.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a novel SARS‐CoV‐2 rapid antigenic test diagnostic value in respiratory samples; is the reported test accuracy similar to values in the real‐world? A cross‐sectional study

Hatami

Rezaeian

2022

Health Science Reports

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Background and Aims Although reverse transcription‐polymerase chain reaction (RT‐PCR) assay was introduced as the gold standard to detect SARS‐CoV‐2, the method was known to be time‐consuming besides the requirement for an equipped laboratory. This survey aims to investigate a novel SARS‐CoV‐2 antigen test as a diagnostic tool in COVID‐19 patients to overcome these limitations in addition to evaluating COVID‐19 population characteristics. Methods A retrospective cross‐sectional study was carried out during the first semester of 2021, and about 1070 nasopharyngeal samples were collected to compare the E‐Health Barakat Company SARS‐CoV‐2 antigen rapid test results with RT‐PCR reports as the reference method. Results Totally 537 participants were included in this study for employing RT‐PCR and the antigen test sequentially. The novel antigen rapid test sensitivity is considered 21.09% in the real world, though 81% in the manufacturer's instruction has been mentioned. Moreover, the most revealed manifestations were found respiratory symptoms and fatigue sensations. Conclusion This study is the first one on evaluating the SARS‐CoV‐2 antigen test in our country. Although the novel antigen assay was found quick and easy to perform, the test performance was very disappointing. The extensive false‐negative results made it an inappropriate candidate for mass screening.

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“…Coronavirus disease 2019 (COVID-19 & COVID) is a contagious pandemic disease caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2). COVID-19 has variable signs and symptoms, but often include fever, cough, headache, hypoxia, thromboembolic disorders, fatigue, dyspnea, diarrhea, anosmia, and ageusia [1]. About 1/3 of infected people are asymptomatic.…”

Section: Introductionmentioning

confidence: 99%

Maxillary Mucormycosis Osteomyelitis in Post COVID-19 Patients: A Series of Fourteen Cases

et al. 2021

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During the current pandemic of COVID-19, numerous manifestations and complications have developed. Patients with COVID-19 are at high risk of fungal infections, such as mucormycosis, that may result directly from COVID-19 infection and/or as a side effect of the drugs used in COVID-19 treatment protocol, such as dexamethasone, hydroxychloroquine, and antibiotics. In this report, we described a series of 14 cases with maxillary mucormycosis osteomyelitis in immediate post-COVID-19 patients.

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Biology of COVID-19 and related viruses: Epidemiology, signs, symptoms, diagnosis, and treatment

Cited by 15 publications

References 102 publications

Predictors of COVID-19 Hospital Treatment Outcome

Predictors of COVID-19 Hospital Treatment Outcome

Evaluation of a novel SARS‐CoV‐2 rapid antigenic test diagnostic value in respiratory samples; is the reported test accuracy similar to values in the real‐world? A cross‐sectional study

Maxillary Mucormycosis Osteomyelitis in Post COVID-19 Patients: A Series of Fourteen Cases

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