SCCM Resource Library-COVID-19 Mortality Factors

Video Transcription

Video Summary

In this video, Nick Watson discusses mortality factors in COVID-19. He explains that mortality in COVID-19 has been refined through larger sample sizes and pooled analysis, as well as genetic diversity, vaccination availability, and geopolitical differences. Mortality factors can be divided into clinical factors, laboratory values, and modifiers. Clinical factors include age, comorbidities, and organ dysfunction. Laboratory values reflect immune function, organ failure, and inflammation. Modifiers include viral variants, vaccination status, and resource availability. Prognostic models and early warning scores can be used to predict mortality. Artificial intelligence and machine learning techniques can also be used in these models. However, mortality rates and prediction models are prone to error and are influenced by various factors such as changing therapies, vaccination, and resource allocation. Clinicians must assess and integrate this information for patient care.

Asset Subtitle

Crisis Management, Quality and Patient Safety, 2020

Asset Caption

"This presentation discusses the mortality factors regarding COVID-19.

This is SCCM curated COVID-19 microlearning content."

Meta Tag

Content Type Presentation

Knowledge Area Crisis Management

Knowledge Area Quality and Patient Safety

Knowledge Level Foundational

Knowledge Level Intermediate

Knowledge Level Advanced

Membership Level Nonmember

Membership Level Associate

Membership Level Professional

Membership Level Select

Tag COVID-19

Tag Mortality

Year 2020

Keywords

mortality factors

COVID-19

clinical factors

laboratory values

modifiers

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