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Title: ... group= needle thoracentesis or chest tube drainage ..


1
Can We Simplify the Management of Complicated
Pneumonia in Children?
Samir S. Shah, MD, MSCE
Divisions of Infectious Diseases and General
Pediatrics The Childrens Hospital of
Philadelphia Departments of Pediatrics and
Biostatistics and Epidemiology University of
Pennsylvania School of Medicine
2
Objectives
  • Explore the use of administrative data to clarify
    the
  • changing epidemiology of pneumonia and
    complicated pneumonia
  • role of operative vs. non-operative interventions
    in the management of children with complicated
    pneumonia

3
Background Pneumonia
  • Community-acquired pneumonia (CAP) is a common
    serious bacterial infection in children
  • gt600,000 hospitalizations in the U.S. each year
  • Up to one-third of children hospitalized with CAP
    have a pleural effusion (complicated pneumonia)

4
What do we mean by the term complicated pneumonia?
5
Case
  • 3-year-old boy with cough and fever
  • Evaluated 2 weeks ago
  • Diagnosed with asthma and clinical pneumonia
  • Treated with albuterol and amoxicillin
  • Returns with continued cough and fevers to 39.2C

6
Case Chest X-ray
7
Case Chest CT
8
Changing Epidemiology of Invasive Pneumococcal
Disease
  • Licensure of a 7-valent pneumococcal conjugate
    vaccine in 2000
  • Decrease in invasive pneumococcal infections
  • Subsequent increase in the rate of infections
    caused by
  • penicillin-resistant S. pneumoniae
  • serotypes not included in the current vaccine
  • Increasing prevalence of infections caused by
    methicillin-resistant S. aureus

9
National Hospital Discharges (all ages)
Bacteremia of any etiology ? Pneumococcal
bacteremia
Shah SS, et al. Clin Infect Dis 200642e1-5
10
Pneumococcal Bacteremia By Serotype Category
?vaccine serotype vaccine-related
serotype ?non-vaccine serotype
Steenhoff A, Shah SS, et al. Clin Infect Dis
200642907-914
11
Invasive Disease Caused by Penicillin-Susceptible
and Non-susceptible Pneumococci (ages lt2)
Kyaw MH, et al N Engl J Med 20063541455-1463
12
What does this have to do with pneumonia?
13
Have rates of pneumonia or complicated pneumonia
changed over time?
14
Datasource National Hospital Discharge Survey
(NHDS)
  • Created by the National Center for Health
    Statistics
  • Includes only non-federal US hospitals
  • All hospitals with gt1,000 beds
  • Representative sample of others based on
    location, size specialty
  • Includes 500 hospitals 250,000 discharges each
    year
  • Weighting of records by hospital size/region
    allows for calculation of nationally
    representative estimates

15
Eligibility
  • Inclusion
  • Ages 1-18 years
  • Discharged 1993-2006
  • Diagnosis of community-acquired pneumonia
  • Exclusion
  • Age lt1 to eliminate bronchiolitis
  • Known underlying predisposition to pneumonia
    (e.g., malignancy, HIV, cystic fibrosis)

16
Definitions of Pneumonia
  • Community-acquired pneumonia (CAP)
  • Pneumonia as 1diagnosis OR
  • Pneumonia-related symptom as 1 diagnosis (e.g.,
    cough) pneumonia as 2 diagnosis OR
  • Empyema or pleurisy as 1 diagnosis and pneumonia
    as 2 diagnosis
  • Sensitivity of 89 and specificity of 80
    compared with medical record review

Whittle J, et al. Am J Med Qual 199712187-193
17
Definitions of Complications
Abbreviations HUS, hemolytic-uremic syndrome
SIRS, systemic inflammatory response syndrome
18
Challenges
  • Accuracy of ICD-9 codes to identify conditions of
    interest
  • Does our definition exclude the sickest patients?
  • Change in ICD-9 codes over time (e.g., addition
    of 4th or 5th digits)
  • Review annual ICD-9 addendum
  • Complex survey statistics (i.e., sample weights)
    to calculate national estimates
  • May limit accuracy of data for subpopulations
  • Insufficient data in publicly available dataset
    to calculate standard errors for some
    subpopulations

19
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20
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21
Regional Variation in Pediatric CAP
Hospitalizations (Pennsylvania)
Gorton CP, et al. Pediatrics 2006117176-180
22
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23
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24
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25
The epidemiology of pneumonia and complicated
pneumonia is complex and changing
26
Evolution of Empyema
  • Exudative
  • Neutrophil migration into pleural space
  • Fibrinopurulent
  • Fibrin deposition
  • Loculations impair lung expansion
  • Organizing
  • Fibroblast formation produces an inelastic
    membrane or fibrinous peel

27
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28
Management of Empyema
  • Radiologic assessment
  • CXR (upright decubitus)
  • Ultrasound
  • CT scan

29
Management of Empyema
  • Surgical options
  • Thoracentesis (needle aspiration)
  • Tube thoracostomy ( fibrinolysis)
  • Video-assisted thoracoscopy
  • Thoracotomy

Require post-procedure thoracostomy tube
30
Management of Empyema
  • No consensus on optimal initial drainage strategy
  • Technique?
  • Timing?

31
Why use administrative data to study complicated
pneumonia?
  • Sonnappa et al.
  • Kurt et al.
  • Avansino et al.
  • Li et al.
  • Shah et al.

32
Sonnappa et al.
  • 1st randomized study of VATS vs. thoracostomy
    tube drainage
  • 60 patients enrolled from January 2002 to
    February 2005
  • Groups similar in
  • Age Sex
  • Preadmission symptoms
  • Effusion stage
  • Causative bacteria (mostly S. pneumoniae)

Sonnappa S. Am J Respir Crit Care Med
20006174221-227
33
Sonnappa et al.
Kurt BA, et al. Pediatrics 2006118e547-e553
34
Kurt et al.
  • 1st randomized study of VATS vs. thoracostomy
    tube drainage in U.S.
  • 18 patients enrolled from November 2003-May 2005
  • Groups similar in
  • Age sex
  • Preadmission symptoms antibiotics
  • Effusion size
  • Presence of loculation

Kurt BA, et al. Pediatrics 2006118e547-e553
35
Kurt et al.
Kurt BA, et al. Pediatrics 2006118e547-e553
36
Key Differences
  • Differences
  • Kurt et al. used substantially larger chest tubes
    (16-24 Fr vs. 8-10 Fr)
  • Sonnappa et al. used more aggressive fibrinolysis
  • LOS presented as mean (Kurt) or median (Sonnappa)
  • Limitations
  • Single centers
  • Few patients

37
Can a meta-analysis more address this issue more
definitively?
38
Avansino et al.
  • Systematic review of therapy for empyema (outcome
    data from 3781 children)

Avansino JR. Pediatrics 20051151652-1659
39
Avansino et al.
  • In the pooled analysis, primary operative therapy
    reduced
  • LOS by 45 (199 patients, 4 studies)
  • Repeat procedures by 90 (492 patients, 9
    studies)
  • Results biased towards favoring operative therapy
  • Non-operative group needle thoracentesis or
    chest tube drainage

Avansino JR, et al. Pediatrics 20051151652-9
40
Avansino et al. - Limitations
  • Poor study quality
  • No randomized studies performed at time of review
  • Inclusion only of small (all lt70 patients)
    observational studies with heterogeneous study
    designs
  • Primary outcome of interest therapeutic failure
    not chosen a priori
  • Failure to adjust for confounding variables
  • Timing of intervention
  • Chemical fibrinolysis
  • Empiric antibiotic therapy

41
Where do things stand?
  • Randomized studies
  • Small single center
  • Multicenter studies difficult to conduct because
    prevailing personal institutional dogmas
  • Pooled analyses
  • Few high quality studies
  • Administrative data
  • Seriously?

42
Li et al.
  • 2003 Kids Inpatient Database
  • Inclusions
  • Age 0-18 years
  • ICD-9 codes for empyema (510.0 510.9)
  • Exclusions
  • Co-morbid illness
  • Transfer from another hospital

Li ST. Arch Pediatr Adolesc Med 200816244-48
43
Li et al.
  • 1173 patients
  • Primary operative management (POM) vs.
    Non-operative management (NM)
  • POM decortication within 2 days of admission
  • NM everything else, including decortication 3 or
    more days after admission

Li ST. Arch Pediatr Adolesc Med 200816244-48
44
Li et al.
Li ST. Arch Pediatr Adolesc Med 200816244-48
45
Li et al. - Limitations
  • ICD-9 codes incomplete
  • Other codes that suggest effusion were not
    included
  • 511.1 effusion, with mention of bacterial cause
    other than tuberculosis
  • 513.0 abscess of lung
  • Diagnosis of pneumonia not required
  • Potential for inclusion of effusions not related
    to pneumonia (e.g., post-op)
  • NM group heterogeneous
  • For example, those drained early by chest tube
    may be different than those drained late by VATS
    and those never drained

46
Shah et al.
  • Pediatric Health Information System (PHIS)
  • Inpatient data from 27 not-for-profit, tertiary
    care, U.S. childrens hospitals
  • Inclusions
  • Age 12 months to 18 years of age
  • Discharged between 2001-2005
  • ICD-9 codes 510.0, 510,9, 511.1, or 513.0 as
    primary diagnosis plus pneumonia (480-486)
  • Pleural fluid drainage within 48 h of
    hospitalization
  • Exclusion
  • Co-morbid illness

Shah SS. Arch Pediatr Adolesc Med 2008162675-681
47
Shah et al. - PHIS Study Population
Shah SS. Arch Pediatr Adolesc Med
2008162675-681
48
Shah et al. - Initial Procedure
Shah SS. Arch Pediatr Adolesc Med
2008162675-681
49
Shah et al. - Procedure Variation by Hospital
50
Shah et al. - Variation in LOS by Hospital
7 of patients had a LOS gt28 days
51
Shah et al. - Change in LOS
Shah SS. Arch Pediatr Adolesc Med 2008162675-681
52
Shah et al. - Repeat Procedure
  • Repeat procedure
  • 298 (31) overall required a repeat procedure
  • Percent requiring repeat procedure
  • 34 with primary chest tube
  • 8 with primary VATS
  • 24 with primary thoracotomy

Shah SS. Arch Pediatr Adolesc Med
2008162675-681
53
Shah et al. - Variation in Repeat Procedures by
Hospital
R E P E A T P R O C E D U R E
Hospital
Shah SS. Arch Pediatr Adolesc Med
2008162675-681
54
Shah et al. - Repeat Procedure
Shah SS. Arch Pediatr Adolesc Med 2008162675-681
55
Shah et al. - Summary
  • Among the subset of children with complicated
    pneumonia who undergo early pleural drainage,
    VATS is associated with
  • 20 shorter LOS
  • Fewer repeat procedural interventions

Shah SS. Arch Pediatr Adolesc Med
2008162675-681
56
But which strategy is more cost-effective?
57
Background
  • VATS is more expensive than primary chest tube
    placement in terms of physician and procedural
    costs
  • Are these additional costs are offset by
    associated reductions in length of stay and
    repeat procedures?
  • A recent decision analysis concluded that chest
    tube with fibrinolysis was the preferred strategy

58
Shah et al.
  • Pediatric Health Information System (PHIS)
  • Inpatient data from 27 not-for-profit, tertiary
    care, U.S. childrens hospitals
  • Inclusions
  • Age 12 months to 18 years of age
  • Discharged between 2001-2005
  • ICD-9 codes 510.0, 510,9, 511.1, or 513.0 as
    primary diagnosis plus pneumonia (480-486)
  • Pleural fluid drainage within 48 h of
    hospitalization
  • Exclusion
  • Co-morbid illness

Shah SS. Arch Pediatr Adolesc Med 2008162675-681
59
Shah et al. Resource Utilization (Unadjusted
data)
60
Analytic approaches
  • Children undergoing VATS vs. chest tube likely
    differ in many respects
  • How can one handle confounding in an
    observational study?
  • Restriction
  • Matching
  • Adjustment in a regression model
  • Propensity scores

61
Propensity Score
  • Represents the probability of treatment
  • Estimated using logistic regression
  • Outcome Treatment (i.e., VATS vs. chest tube)
  • Exposures Measured characteristics of the
    study patients
  • In theory, patients with similar propensity
    scores should have a similar distribution of
    measured covariates

62
1.) Indications for Propensity Scores
  • Theoretical advantages
  • Confounding by indication may cause treatment
    groups to differ dramatically
  • Comparison of propensity scores in exposed and
    unexposed subjects can identify these areas of
    non-overlap

63
2.) Indications for Propensity Scores
  • Useful for matching subjects
  • Matching on propensity score outperforms other
    matching strategies with many covariates
  • Balance achieved will mimic randomization (for
    measured variables)

64
3.) Indications for Propensity Scores
  • Improved estimation with few outcomes
  • Reliable estimates not possible with
    multivariable modeling when there are many
    covariates and few outcomes

65
4.) Indications for Propensity Scores
  • Propensity score by treatment interactions
  • Can address possibility that the effectiveness of
    a drug may vary according to the strength of the
    indication for its use

66
5.) Indications for Propensity Scores
  • Propensity score calibration to correct for
    measurement errors
  • A specific (and complicated) method that allows
    one to account for multiple unobserved
    confounders
  • Propensity score 1st created in a subgroup of
    patients that have detailed information available
  • This gold-standard propensity score is used to
    correct the main study effect of the drug on
    outcome

67
Rationale for Analytic Approach
  • 1 Theoretical advantages
  • Confounding by indication may cause treatment
    groups to differ dramatically
  • Comparison of propensity scores in exposed and
    unexposed subjects can identify these areas of
    non-overlap
  • 2 Useful for matching subjects
  • Matching on propensity score outperforms other
    matching strategies with many covariates
  • Balance achieved will mimic randomization (for
    measured variables)

68
Approaches to Propensity Score Analysis
  • Restriction
  • Restrict analysis to participants with sufficient
    overlap in scores
  • Matching
  • A science unto itself
  • Stratified analysis
  • Stratify analysis by score categories (e.g.,
    quintiles)
  • Weighting
  • Case weightscore control weightinverse of 1
    minus their score then apply sample weights in
    regression model
  • Regression
  • Treat propensity score as model covariate with
    treatment

69
Approaches to Propensity Score Analysis
  • All methods should produce similar results
  • What if there are differences?
  • Figure out why
  • Present the best analysis (i.e., the one
    perceived to be most accurate)

70
Practical Considerations
  • Determine area under the ROC curve for propensity
    score
  • Rough rule of thumb, perhaps 0.7-0.9 is ok
  • Very high values suggest non-overlap of
    distribution of propensity scores between
    subjects
  • Visually compare propensity score distributions

71
Distribution of Propensity Scores
  • AUC 0.70

72
Distribution of Propensity Scores
  • Poor overlap of propensity scores between the 2
    groups at the extreme quintiles
  • Restriction
  • Matching
  • Stratified analysis
  • Weighting
  • Regression

73
Matched vs. Unmatched Example
74
Total Hospital Charges VATS vs. Chest Tube
Multivariable model included age, race, sex,
season, asthma, steroids, fibrinolysis, and
empiric vancomycin receipt. Propensity score
created using all of these variables. 48 VATS
patients matched with 7 patients, 1 matched with
5, 1 matched with 4
75
Propensity Analysis
  • Bottom line VATS does not cost more than chest
    tube placement despite higher physician charges
    and additional operating room charges

76
Can We Simplify the Management of Complicated
Pneumonia in Children?
77
What we think we know
  • Early intervention reduces duration of
    hospitalization
  • Compared with chest tube placement, VATS
  • Modestly decreases LOS
  • Substantially decreases repeat procedures
  • Does not cost more
  • Chemical fibrinolysis does not affect key
    outcomes

78
What we dont know
  • Short-term outcomes
  • Affect of various procedures on frequency of
    local, systemic and metastatic complications
  • Long-term outcomes
  • Correlation with short-term outcomes
  • Impact of Impact of early vs. late intervention
  • Impact of early VATS vs. tube thoracostomy
  • Impact of changing epidemiology on short- and
    long-term outcomes

79
Thank You
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