Unknown

Dataset Information

Natural history, trajectory, and management of mechanically ventilated COVID-19 patients in the United Kingdom.


ABSTRACT:

Purpose

The trajectory of mechanically ventilated patients with coronavirus disease 2019 (COVID-19) is essential for clinical decisions, yet the focus so far has been on admission characteristics without consideration of the dynamic course of the disease in the context of applied therapeutic interventions.

Methods

We included adult patients undergoing invasive mechanical ventilation (IMV) within 48 h of intensive care unit (ICU) admission with complete clinical data until ICU death or discharge. We examined the importance of factors associated with disease progression over the first week, implementation and responsiveness to interventions used in acute respiratory distress syndrome (ARDS), and ICU outcome. We used machine learning (ML) and Explainable Artificial Intelligence

SUBMITTER: Patel BV 

PROVIDER: S-EPMC8111053 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature