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Published on: September 24, 2020
Disparities in Palliative Care Among Critically Ill Patients With and Without COVID-19 at the End of Life: A
1Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Texas Tech University Health Sciences Center at the Permian Basin, Odessa, TX, USA.
Background:
The surge in critical illness and associated mortality brought by the coronavirus virus disease 2019 (COVID-19) pandemic, coupled with staff shortages and restrictions of family visitation, may have adversely affected delivery of palliative measures, including at the end of life of affected patients. However, the population-level patterns of palliative care (PC) utilization among septic critically ill patients with and without COVID-19 during end-of-life hospitalizations are unknown.
Methods:
A statewide dataset was used to identify patients aged ≥ 18 years with intensive care unit (ICU) admission and a diagnosis of sepsis in Texas, who died during hospital stay during April 1 to December 31, 2020. COVID-19 was defined by the International Classification of Diseases, 10th Revision (ICD-10) code U07.1, and PC was identified by ICD-10 code Z51.5. Multivariable logistic models were fitted to estimate the association of COVID-19 with use of PC among ICU admissions. A similar approach was used for sensitivity analyses of strata with previously reported lower and higher than reference use of PC.
Results:
There were 20,244 patients with sepsis admitted to ICU during terminal hospitalization, and 9,206 (45.5%) had COVID-19. The frequency of PC among patients with and without COVID-19 was 32.0% vs. 37.1%, respectively. On adjusted analysis, the odds of PC use remained lower among patients with COVID-19 (adjusted odds ratio (aOR): 0.84, 95% confidence interval (CI): 0.78 - 0.90), with similar findings on sensitivity analyses.
Conclusions:
PC was markedly less common among critically ill septic patients with COVID-19 during terminal hospitalization, compared to those without COVID-19. Further studies are needed to determine the factors underlying these findings in order to reduce disparities in use of PC.
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