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Preintubation Sequential Organ Failure Assessment Score for Predicting COVID-19 Mortality: External Validation Using Electronic Health Record From 86 U.S. Healthcare Systems to Appraise Current Ventilator Triage Algorithms.
Keller, Michael B; Wang, Jing; Nason, Martha; Warner, Sarah; Follmann, Dean; Kadri, Sameer S.
  • Keller MB; Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD.
  • Wang J; Department of Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD.
  • Nason M; Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD.
  • Warner S; Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, Bethesda, MD.
  • Follmann D; Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD.
  • Kadri SS; Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, Bethesda, MD.
Crit Care Med ; 50(7): 1051-1062, 2022 07 01.
Article in English | MEDLINE | ID: covidwho-1752195
ABSTRACT

OBJECTIVES:

Prior research has hypothesized the Sequential Organ Failure Assessment (SOFA) score to be a poor predictor of mortality in mechanically ventilated patients with COVID-19. Yet, several U.S. states have proposed SOFA-based algorithms for ventilator triage during crisis standards of care. Using a large cohort of mechanically ventilated patients with COVID-19, we externally validated the predictive capacity of the preintubation SOFA score for mortality prediction with and without other commonly used algorithm elements.

DESIGN:

Multicenter, retrospective cohort study using electronic health record data.

SETTING:

Eighty-six U.S. health systems. PATIENTS Patients with COVID-19 hospitalized between January 1, 2020, and February 14, 2021, and subsequently initiated on mechanical ventilation.

INTERVENTIONS:

None. MEASUREMENTS AND MAIN

RESULTS:

Among 15,122 mechanically ventilated patients with COVID-19, SOFA score alone demonstrated poor discriminant accuracy for inhospital mortality in mechanically ventilated patients using the validation cohort (area under the receiver operating characteristic curve [AUC], 0.66; 95% CI, 0.65-0.67). Discriminant accuracy was even poorer using SOFA score categories (AUC, 0.54; 95% CI, 0.54-0.55). Age alone demonstrated greater discriminant accuracy for inhospital mortality than SOFA score (AUC, 0.71; 95% CI, 0.69-0.72). Discriminant accuracy for mortality improved upon addition of age to the continuous SOFA score (AUC, 0.74; 95% CI, 0.73-0.76) and categorized SOFA score (AUC, 0.72; 95% CI, 0.71-0.73) models, respectively. The addition of comorbidities did not substantially increase model discrimination. Of 36 U.S. states with crisis standards of care guidelines containing ventilator triage algorithms, 31 (86%) feature the SOFA score. Of these, 25 (81%) rely heavily on the SOFA score (12 exclusively propose SOFA; 13 place highest weight on SOFA or propose SOFA with one other variable).

CONCLUSIONS:

In a U.S. cohort of over 15,000 ventilated patients with COVID-19, the SOFA score displayed poor predictive accuracy for short-term mortality. Our findings warrant reappraisal of the SOFA score's implementation and weightage in existing ventilator triage pathways in current U.S. crisis standards of care guidelines.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Organ Dysfunction Scores / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Crit Care Med Year: 2022 Document Type: Article Affiliation country: CCM.0000000000005534

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Organ Dysfunction Scores / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Crit Care Med Year: 2022 Document Type: Article Affiliation country: CCM.0000000000005534