The Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19.


Journal

Palliative medicine
ISSN: 1477-030X
Titre abrégé: Palliat Med
Pays: England
ID NLM: 8704926

Informations de publication

Date de publication:
10 2020
Historique:
pubmed: 18 7 2020
medline: 25 9 2020
entrez: 18 7 2020
Statut: ppublish

Résumé

Coronavirus disease 2019 (COVID-19) has a substantial mortality risk with increased rates in the elderly. We hypothesized that age is not sufficient, and that frailty measured by preadmission Palliative Performance Scale would be a predictor of outcomes. Improved ability to identify high-risk patients will improve clinicians' ability to provide appropriate palliative care, including engaging in shared decision-making about life-sustaining therapies. To evaluate whether preadmission Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19. Retrospective observational cohort study of patients admitted with COVID-19. Palliative Performance Scale was calculated from the chart. Using logistic regression, Palliative Performance Scale was assessed as a predictor of mortality controlling for demographics, comorbidities, palliative care measures and socioeconomic status. Patients older than 18 years of age admitted with COVID-19 to a single urban public hospital in New Jersey, USA. Of 443 admitted patients, we determined the Palliative Performance Scale score for 374. Overall mortality was 31% and 81% in intubated patients. In all, 36% (134) of patients had a low Palliative Performance Scale score. Compared with patients with a high score, patients with a low score were more likely to die, have do not intubate orders and be discharged to a facility. Palliative Performance Scale independently predicts mortality (odds ratio 2.89; 95% confidence interval 1.42-5.85). Preadmission Palliative Performance Scale independently predicts mortality in patients hospitalized with COVID-19. Improved predictors of mortality can help clinicians caring for patients with COVID-19 to discuss prognosis and provide appropriate palliative care including decisions about life-sustaining therapy.

Sections du résumé

BACKGROUND
Coronavirus disease 2019 (COVID-19) has a substantial mortality risk with increased rates in the elderly. We hypothesized that age is not sufficient, and that frailty measured by preadmission Palliative Performance Scale would be a predictor of outcomes. Improved ability to identify high-risk patients will improve clinicians' ability to provide appropriate palliative care, including engaging in shared decision-making about life-sustaining therapies.
AIM
To evaluate whether preadmission Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19.
DESIGN
Retrospective observational cohort study of patients admitted with COVID-19. Palliative Performance Scale was calculated from the chart. Using logistic regression, Palliative Performance Scale was assessed as a predictor of mortality controlling for demographics, comorbidities, palliative care measures and socioeconomic status.
SETTING/PARTICIPANTS
Patients older than 18 years of age admitted with COVID-19 to a single urban public hospital in New Jersey, USA.
RESULTS
Of 443 admitted patients, we determined the Palliative Performance Scale score for 374. Overall mortality was 31% and 81% in intubated patients. In all, 36% (134) of patients had a low Palliative Performance Scale score. Compared with patients with a high score, patients with a low score were more likely to die, have do not intubate orders and be discharged to a facility. Palliative Performance Scale independently predicts mortality (odds ratio 2.89; 95% confidence interval 1.42-5.85).
CONCLUSIONS
Preadmission Palliative Performance Scale independently predicts mortality in patients hospitalized with COVID-19. Improved predictors of mortality can help clinicians caring for patients with COVID-19 to discuss prognosis and provide appropriate palliative care including decisions about life-sustaining therapy.

Identifiants

pubmed: 32677509
doi: 10.1177/0269216320940566
pmc: PMC7378312
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1228-1234

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Auteurs

Michele Fiorentino (M)

Rutgers New Jersey Medical School, Newark, NJ, USA.

Sri Ram Pentakota (SR)

Rutgers New Jersey Medical School, Newark, NJ, USA.

Anne C Mosenthal (AC)

Tufts University School of Medicine, Boston, MA, USA.

Nina E Glass (NE)

Rutgers New Jersey Medical School, Newark, NJ, USA.

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Classifications MeSH