Abstract

COVID-19 also known as coronavirus disease of 2019 is a viral illness caused by novel coronavirus SARS-CoV2 that was discovered in December 2019 in Wuhan, China. To date, there have been over 250 million cases worldwide. The severity of COVID-19 ranges from mild symptoms to critical illness warranting hospitalization within an intensive care unit to death. Current treatment modalities include supportive cares, monoclonal antibodies, interleukin inhibitors, convalescent plasma, therapeutic anticoagulants, anti-inflammatory medications and/or corticosteroids. A common complication due to COVID-19 is acute respiratory failure resulting in pulmonary insult which start as cough but progress to the need for supplemental oxygen and/or mechanical ventilation. There are varying modalities to provide supplemental oxygen as well as processes to support such processes including proning. Patients that become critically ill typically require increased amounts of supplemental oxygen to avoid hypoxia which included early intubation. Based on a literature review, the recommendations have shown that early intubation may not be key and that critically ill patients should be maintained on alternative oxygen-supplying modalities to avoid hypoxia and potential intubation. For patients who warranted intubation, literature reveals that timing of intubation did not have significant impact on clinical outcomes. Based on the literature, an algorithm called Ventnet, has been developed and should be utilized to assist in prediction of intubation in patients with acute respiratory distress syndrome secondary to COVID-19.

Date of Completion of Thesis/SIP

Fall 12-15-2021

Document Type

Scholarly Inquiry Paper (SIP)

Degree Name

Master of Science in Nursing (MSN)

Department

Nursing

First Advisor

Kim Langer

Second Advisor

David Steele

Location

Blaine, Minnesota

Included in

Nursing Commons

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