Community Validation of Influenza-like Illness as a Predictor of Influenza - PowerPoint PPT Presentation

1 / 25
About This Presentation
Title:

Community Validation of Influenza-like Illness as a Predictor of Influenza

Description:

Community Validation of Influenza-like Illness as a Predictor of Influenza Jonathan L. Temte, MD/PhD & Alexis Eastman, MS-2 University of Wisconsin School of Medicine ... – PowerPoint PPT presentation

Number of Views:71
Avg rating:3.0/5.0
Slides: 26
Provided by: AlexisE1
Category:

less

Transcript and Presenter's Notes

Title: Community Validation of Influenza-like Illness as a Predictor of Influenza


1
Community Validation ofInfluenza-like Illness
as a Predictor of Influenza
  • Jonathan L. Temte, MD/PhD Alexis Eastman,
    MS-2
  • University of Wisconsin School of Medicine and
    Public Health
  • Peter A. Shult, PhD, Carol J. Kirk Mary
    Wedig
  • Wisconsin State Laboratory of Hygiene
  • Madison, Wisconsin

2
Influenza-like Illness
  • Definition
  • Fever of 100oF (37.8oC) or higher
  • Cough and/or Sore Throat
  • Not due to any other illness
  • Utility
  • Simple and elegant
  • Clinically relevant
  • Easily ascertained

3
ILI uses
  • Community surveillance of influenza
  • Clinical identification of influenza infection
  • High PPV from research protocols
  • Adults
  • Children

4
Factors Affecting Symptoms
Host Factors
Viral Factors
Age
Viral Strain
Immune Status
Viral Subtype
Underlying Disease
5
Purpose of Study
  • Review the contents of a large database
  • Surveillance data emerging from a partnership
    between a public health laboratory and primary
    care clinicians
  • Symptoms and virus identification
  • Validate ILI for influenza infection
  • Communitynot researchperspective

6
The Surveillance Database
  • Partnership of WSLH and UW-DFM since 1994
  • Major modification of symptom check off in 1997
  • Opportunistic sampling with fee-exempt virus
    culture
  • physicians obtain specimens, record demographic
    and symptom data, sample is transported to WSLH
    by courier.
  • Standard culture methods with isolation rate
    45
  • Limited, de-identified data used
  • 1997-2007
  • IRB approved
  • 3,796 episodes of acute respiratory illness care
    available

7
Preferential Collection fromChildren and Young
Adults
Range 0 103 years 55.6 female
8
PredictorsWorking definition of ILI
  • FCorST
  • F Fever on symptom checklist
  • No requirement for level or documentation
  • CorST Cough and/or Sore Throat
  • sFCorST (includes seasonality)
  • December through March
  • Period with gt 90 of influenza cases

9
Outcomesinfluenza isolation
  • Paradigm 1 clinical primary care
  • Influenza () vs. all other specimens
  • Influenza 1230
  • Non-influenza no virus isolated 2566
  • Paradigm 2 ideal virus capture
  • Influenza () vs. non-influenza virus ()
  • Influenza 1230
  • Non-influenza 523

10
Distribution of outcomes
Reference population Season included Criteria used Influenza () Influenza (-)
All ARI specimens Yes sFCorST () 1020 1034
All ARI specimens Yes sFCorST (-) 210 1532
All ARI specimens No sFCorST () 1082 1529
All ARI specimens No sFCorST (-) 148 1037
11
Distribution of outcomes
Reference population Season included Criteria used Influenza () Influenza (-)
Virus () specimens Yes sFCorST () 1020 188
Virus () specimens Yes sFCorST (-) 210 335
Virus () specimens No sFCorST () 1082 302
Virus () specimens No sFCorST (-) 148 221
12
Performance Characteristics
Criteria Reference population OR flu Sens Spec PPV NPV
FCorST All ARI 4.96 0.88 0.40 0.41 0.88
FCorST Virus () 5.25 0.88 0.42 0.78 0.60
sFCorST All ARI 7.20 0.83 0.60 0.50 0.88
sFCorST Virus () 8.66 0.83 0.64 0.84 0.62
13
Additional Fiddlingassessing effects of age
  • Concentrate on seasonal data
  • Clinician informed by surveillance
  • Concentrate on virus () specimens
  • Symptomatic patient
  • Early in illness
  • Collection technique good
  • Concentrate on age categories
  • 0-4
  • 5-24
  • 25-64
  • 65

14
Effects of age(reference age 25-64
years)Binary logistic regression via Minitab
Release 13.1
Factor Odds Ratio 95 CI
sFCorST 7.55 5.81 9.80
0-4 years 0.10 0.07 0.14
5-24 years 1.21 0.90 1.65
25-64 years reference
65 years 1.67 0.86 3.25
Plt0.001
15
What about little kids?the percent of ILI cases
due to
Virus 0-4 years 5 years
Influenza 34.8 84.7
Adenovirus 6.6 3.2
Parainfluenza 14.4 3.3
Rhinovirus 1.7 3.7
RSV 37.0 1.4
Herpes simplex 1.1 2.0
Enterovirus 2.9 0.8
16
Conclusions
  • ILI (FCorST) performs well
  • Public health tool for surveillance
  • Early detection of influenza
  • High sensitivity ( 0.88)
  • Limited by low specificity (0.40)
  • but fined tuned by virological methods
  • ILI (sFCorST) performs well
  • Clinician tool for diagnosis of influenza
  • Informed by public health surveillance
  • High PPV (0.84) moderate NPV
  • Excluding young children raises PPV to 0.90

17
Conclusions
  • Influenza is the primary cause of ILI in patients
    age 5 years
  • Many viruses can cause ILI in children 0-4 years
    of age. ILI should not be used for diagnosis
    alone in this group.
  • ILI for predicting influenza infection has been
    validated in a primary care, community-based
    population

18
Final Words
  • If influenza is in the community and your patient
    is over 4 years old
  • Is it influenza?
  • FCorST

Of Course
19
Acknowledgements
  • Wisconsin Primary Care Clinicians
  • UW-DFM residency clinics
  • Numerous private physicians
  • UW-DFM Summer Student Research and Clinical
    Assistantship Program
  • Ms. Alexis Eastman
  • Wisconsin State Laboratory of Hygiene

20
Additional Material
21
Basic Characteristics of Surveillance System
  • Mean age of patient 26.6 years
  • Range 0 to 103 years
  • Sex
  • Female 55.6
  • Male 44.4
  • Time between illness onset and collection
  • Mean 3.86 days
  • Median 2 days
  • Rate of virus isolation 44.6

22
Specimens Collected duringRespiratory Virus
Season
23
Collection Day(Monday through Thursday Preferred)
24
Most SpecimensCollected at Optimal Time
25
Percent of Specimens with Positive Virus
Isolation
Write a Comment
User Comments (0)
About PowerShow.com