Performance of established disease severity scores in predicting severe outcomes among adults hospitalized with influenza—FluSurv‐NET, 2017–2018

Author:

Doyle Joshua D.12,Garg Shikha1,O'Halloran Alissa C.1,Grant Lauren1,Anderson Evan J.34,Openo Kyle P.345,Alden Nisha B.6,Herlihy Rachel6,Meek James7,Yousey‐Hindes Kimberly7,Monroe Maya L.8,Kim Sue9,Lynfield Ruth10,McMahon Melissa10,Muse Alison11,Spina Nancy11,Irizarry Lourdes12,Torres Salina12,Bennett Nancy M.13,Gaitan Maria A.13,Hill Mary14,Cummings Charisse N.1,Reed Carrie1,Schaffner William15,Talbot H. Keipp15,Self Wesley H.15,Williams Derek15

Affiliation:

1. Influenza Division, National Center for Immunization and Respiratory Diseases, CDC Atlanta Georgia USA

2. Epidemic Intelligence Service, CDC Atlanta Georgia USA

3. Emory University School of Medicine Atlanta Georgia USA

4. Atlanta Veterans Affairs Medical Center Atlanta Georgia USA

5. Georgia Emerging Infections Program, Georgia Department of Health Atlanta Georgia USA

6. Colorado Department of Public Health and Environment Denver Colorado USA

7. Connecticut Emerging Infections Program Yale School of Public Health New Haven Connecticut USA

8. Maryland Department of Health Baltimore Maryland USA

9. Communicable Disease Division, Michigan Department of Health and Human Services Lansing Michigan USA

10. Minnesota Department of Health Saint Paul Minnesota USA

11. New York State Department of Health Albany New York USA

12. New Mexico Department of Health Albuquerque New Mexico USA

13. University of Rochester School of Medicine and Dentistry Rochester New York USA

14. Salt Lake County Health Department Salt Lake City Utah USA

15. Vanderbilt University School of Medicine Nashville Tennessee USA

Abstract

AbstractBackgroundInfluenza is a substantial cause of annual morbidity and mortality; however, correctly identifying those patients at increased risk for severe disease is often challenging. Several severity indices have been developed; however, these scores have not been validated for use in patients with influenza. We evaluated the discrimination of three clinical disease severity scores in predicting severe influenza‐associated outcomes.MethodsWe used data from the Influenza Hospitalization Surveillance Network to assess outcomes of patients hospitalized with influenza in the United States during the 2017–2018 influenza season. We computed patient scores at admission for three widely used disease severity scores: CURB‐65, Quick Sepsis‐Related Organ Failure Assessment (qSOFA), and the Pneumonia Severity Index (PSI). We then grouped patients with severe outcomes into four severity tiers, ranging from ICU admission to death, and calculated receiver operating characteristic (ROC) curves for each severity index in predicting these tiers of severe outcomes.ResultsAmong 8252 patients included in this study, we found that all tested severity scores had higher discrimination for more severe outcomes, including death, and poorer discrimination for less severe outcomes, such as ICU admission. We observed the highest discrimination for PSI against in‐hospital mortality, at 0.78.ConclusionsWe observed low to moderate discrimination of all three scores in predicting severe outcomes among adults hospitalized with influenza. Given the substantial annual burden of influenza disease in the United States, identifying a prediction index for severe outcomes in adults requiring hospitalization with influenza would be beneficial for patient triage and clinical decision‐making.

Funder

Centers for Disease Control and Prevention

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,Pulmonary and Respiratory Medicine,Epidemiology

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