A Retrospective Review of the Characteristics and Outcomes of Patients through an Integrated Palliative Care Model during the First Wave of the SARS-COV-2 Pandemic.

ABSTRACT

Background: The COVID-19 pandemic created surges of rapidly deteriorating patients straining health care necessitating the evaluation of novel models of palliative care (PC) integration to reduce patient suffering and hospital strain. Objective: To evaluate an integrated PC model's effect on code status change. Design: This is an observational retrospective study. Setting: Urban quaternary referral center in the southeastern United States from April 6th to August 20th, 2020. Patients All patients admitted to our medical intensive care unit and stepdown unit were diagnosed with COVID-19. Measurements Code status change, multivariate regression on patient characteristics. Results: In total, 79.7% (98/123) patients were full code at admission. After PC consultation, 33.3% (41/123) patients remained full code, 13.0% (16/123) were do not resuscitate (DNR), and 53.6% (66/123) changed to DNR/do not intubate (DNI). An ordinal logistic model determined that consultation location (odds ratio [OR] 3.35, p = 0.017) and patient age (OR 1.09, p < 0.001) were predictive of code status change to DNR/DNI. Conclusion: Within an integrated PC model, PC consultation was associated with code status change. The effect of an integrated PC model warrants further study in comparison with a traditional PC model in a similar patient cohort.