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Insight into COVID-19's epidemiology, pathology, and treatment.

ABSTRACT: The newly emerged 2019 coronavirus disease (COVID-19) has urged scientific and medical communities to focus on epidemiology, pathophysiology, and treatment of SARS-CoV-2. Indeed, little is known about the virus causing this severe acute respiratory syndrome pandemic, coronavirus (SARS-CoV-2). Data already collected on viruses belonging to the coronaviridae family are of interest to improve our knowledge rapidly on this pandemic. The current review aims at delivering insight into the fundamental advances inSARS-CoV-2 epidemiology, pathophysiology, life cycle, and treatment.

SUBMITTER: Aimrane A

PROVIDER: S-EPMC8767941 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Insight into COVID-19's epidemiology, pathology, and treatment.

Aimrane Abdelmohcine A Laaradia Mehdi Ait MA Sereno Denis D Perrin Pascale P Draoui Ahmed A Bougadir Blaid B Hadach Mohamed M Zahir Mustapha M Fdil Naima N El Hiba Omar O El Hidan Moulay Abdelmonaim MA Kahime Kholoud K

Heliyon 20220119 1

The newly emerged 2019 coronavirus disease (COVID-19) has urged scientific and medical communities to focus on epidemiology, pathophysiology, and treatment of SARS-CoV-2. Indeed, little is known about the virus causing this severe acute respiratory syndrome pandemic, coronavirus (SARS-CoV-2). Data already collected on viruses belonging to the <i>coronaviridae</i> family are of interest to improve our knowledge rapidly on this pandemic. The current review aims at delivering insight into the funda ...[more]

PMID: 35071819

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Project description:BackgroundSelecting an empiric antimicrobial regimen can be difficult for early learners and misuse of antibiotics can lead to adverse events and antimicrobial resistance. There have been few interventions that have focused on improving antibiotic decision making, as a form of therapeutic reasoning, for post-graduate trainees. We describe here an approach to aid internal medicine interns in their therapeutic reasoning, particularly when it comes to diagnosing and empirically treating infections.MethodsThe PEST (pathology, epidemiology, severity, treatment) model was created as a four-step approach to therapeutic reasoning and choosing an appropriate antimicrobial regimen for a given infectious disease syndrome. In February 2020, we conducted two independent teaching sessions for interns on the PEST approach. We assessed pre-and post-teaching responses to five clinical vignette-based questions. Results were presented as a percentage of interns who chose an appropriate antibiotic and provided sufficient therapeutic reasoning as defined by using at least three out of the four PEST criteria. Statistical analysis occurred via Fischer's exact test to determine the level of statistical significance between responses.ResultsTwenty-seven interns participated in the activity. At baseline, several interns had incorporated aspects of the PEST approach in their pre-teaching responses. Ten interns commented on the usefulness of such a systematic approach. While there was no statistically significant difference in antibiotic selection, the teaching session demonstrated a trend towards significance in improving therapeutic reasoning as defined by the PEST strategy.ConclusionOur results suggested an improvement in using a structured cognitive tool such as the PEST approach to reinforce therapeutic reasoning, but the method did little to improve antibiotic selection. Some interns used select "PEST" concepts prior to the intervention suggesting that the PEST approach may enhance prior knowledge or clinical reasoning skills. Continued incorporation of the PEST approach using a case-based framework may solidify conceptual and practical knowledge of antimicrobial selection. Further studies are needed to assess the impact of such teaching interventions.

Dataset Information

Insight into COVID-19's epidemiology, pathology, and treatment.

Publications

Insight into COVID-19's epidemiology, pathology, and treatment.

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