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10.1177/0269216320940566

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suck abstract from ncbi


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pmid32677509      Palliat+Med 2020 ; 34 (9): 1228-1234
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  • The Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19 #MMPMID32677509
  • Fiorentino M; Pentakota SR; Mosenthal AC; Glass NE
  • Palliat Med 2020[Oct]; 34 (9): 1228-1234 PMID32677509show ga
  • 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.
  • |*Hospital Mortality[MESH]
  • |*Prognosis[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Cohort Studies[MESH]
  • |Coronavirus Infections/epidemiology/*mortality/*therapy[MESH]
  • |Female[MESH]
  • |Frail Elderly/*statistics & numerical data[MESH]
  • |Hospitalization/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Mortality[MESH]
  • |New Jersey/epidemiology[MESH]
  • |Palliative Care/*statistics & numerical data[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/epidemiology/*mortality/*therapy[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]


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