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High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
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Factor Analysis in Distinguishing Coronavirus Disease 2019 From Other Influenza-like Illness Using a Validated
Ella A Chrenka1, Douglas W Roblin2, Jennifer C Gander3
1HealthPartners Institute, Bloomington, MN.
Medical Care
|March 14, 2023
Summary
The InFLUenza Patient-reported Outcome (FLU-PRO Plus) instrument effectively differentiates COVID-19 from influenza-like illness (ILI) symptoms. Its identified symptom clusters also predict disease progression and impact quality of life.
Area of Science:
- Infectious Diseases
- Patient-Reported Outcomes
- Epidemiology
Background:
- Viral respiratory infections like COVID-19 and influenza present overlapping symptoms.
- Accurate differentiation is crucial for appropriate patient management and public health.
- Patient-reported outcomes (PROs) offer valuable insights into symptom experience.
Purpose of the Study:
- To evaluate the InFLUenza Patient-reported Outcome (FLU-PRO Plus) instrument's ability to distinguish between COVID-19 and non-COVID influenza-like illness (ILI).
- To assess if FLU-PRO Plus symptom clusters can predict disease progression and impact quality of life (QoL).
Main Methods:
- Administered FLU-PRO Plus daily for 14 days to 314 patients (65% with COVID-19).
- Used exploratory factor analysis to identify 3 symptom clusters from day 1 responses.
- Applied logistic regression to predict COVID-19 vs. ILI diagnosis and survival analysis for time to recovery.
Main Results:
- Identified 3 symptom clusters: general body, tracheal/bronchial, and nasopharyngeal.
- Nasopharyngeal cluster higher in COVID-19 (aOR=1.61); tracheal/bronchial lower (aOR=0.58).
- Symptom clusters correlated with QoL (r=0.14-0.56) and predicted longer recovery time.
Conclusions:
- FLU-PRO Plus derived symptom clusters effectively discriminate COVID-19 from non-COVID ILI.
- These clusters are associated with quality of life and predict symptom duration.
- FLU-PRO Plus is a valuable tool for assessing and monitoring viral respiratory illnesses.
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