The Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19 Article Swipe
Michele Fiorentino
,
Sri Ram Pentakota
,
Anne C. Mosenthal
,
Nina E. Glass
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1177/0269216320940566
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1177/0269216320940566
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/0269216320940566
- OA Status
- hybrid
- Cited By
- 45
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3043756480
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3043756480Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1177/0269216320940566Digital Object Identifier
- Title
-
The Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-17Full publication date if available
- Authors
-
Michele Fiorentino, Sri Ram Pentakota, Anne C. Mosenthal, Nina E. GlassList of authors in order
- Landing page
-
https://doi.org/10.1177/0269216320940566Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1177/0269216320940566Direct OA link when available
- Concepts
-
Medicine, Palliative care, Odds ratio, Logistic regression, Retrospective cohort study, Emergency medicine, Confidence interval, Observational study, Severity of illness, Performance status, Scale (ratio), Intensive care medicine, Internal medicine, Cancer, Nursing, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
45Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 3, 2023: 4, 2022: 1, 2021: 29Per-year citation counts (last 5 years)
- References (count)
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15Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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