Dynamic Epidemiology of Streptococcus pneumoniae- Joshua Metlay MD PhD

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The Dynamic Epidemiology of Streptococcus pneumoniae. Joshua P. Metlay, MD, PhD Division of General Internal Medicine University of Pennsylvania Presented at the 41 st Annual Symposium “Global Movement of Infectious Pathogens and Improved Laboratory Detection” Eastern PA Branch-American Society for Microbiology November 17, 2011 Thomas Jefferson University, Philadelphia

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Eastern PA Branch-ASM, 41st Annual Symposium, Nov 17, 2011

Transcript of Dynamic Epidemiology of Streptococcus pneumoniae- Joshua Metlay MD PhD

Page 1: Dynamic Epidemiology of Streptococcus pneumoniae- Joshua Metlay MD PhD

The Dynamic Epidemiology of Streptococcus pneumoniae.

Joshua P. Metlay, MD, PhD

Division of General Internal Medicine

University of Pennsylvania

Presented at the 41st Annual Symposium

“Global Movement of Infectious Pathogens and Improved Laboratory Detection”

Eastern PA Branch-American Society for Microbiology

November 17, 2011

Thomas Jefferson University, Philadelphia

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Outline

• Introduction to pneumococcal disease

• Secular trends

–Antimicrobial drug resistance (macrolides)

–Serotype replacement

• Geographic patterns

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Survival from pneumococcal bacteremia 1952-1962

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Penicillin Resistance in S. pneumoniae United States 1979-2000

1979-1994: CDC Sentinel Surveillance Network

1995-2002: CDC Active Bacterial Core Surveillance (ABCs) /Emerging Infections Program

Sentinel ABCs

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The Delaware Valley Hospital Network

• Hospital based reporting of cases of pneumococcal bacteremia

• Established in 2001

• Centralized susceptibility testing

• 48 hospitals in the 5 county region of Southeastern Pennsylvania

• 3.7 million population

• 400 annual cases

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Participating hospitals in the Delaware Valley

Emerging Infectious Diseases 2001

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Risk Factors for Pneumococcal Bacteremia

Characteristic Cases per 100,000 95% CI

Age

18-49 8.3 7.5 – 9.2

50-64 15.9 14.4 – 17.6

65-79 26.4 26.4 – 29.5

80+ 59.4 52.7 – 67

Race

White 13.7 12.9 – 14.7

African American 26.4 24.2 – 28.9

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Time Trends

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Pneumococcal Conjugate Vaccine

• Seven valent conjugate vaccine licensed in February 2000

• 4, 6B, 9V, 14, 18C, 19F, 23F

• Widespread use by June 2000.

• 2,4, 6, 13-15 month immunization schedule

• Efficacy for otitis media, invasive disease, pneumonia.

• Reduction in carriage of vaccine serotypes

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Temporal trends in risk of invasive pneumococcal disease: children

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Temporal trends in risk of invasive pneumococcal disease: adults

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What is Herd Immunity?

Picture courtesy of Dr. C. Whitney

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Early Successes with Vaccination R

ate

of

VT

IP

D p

er 1

00

,00

0 p

op

ula

tion

Indirect effect:

65% decrease

CDC. MMWR 2005; 54: 893-7.

Direct effect:

94% decrease

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Vaccination of children reduces risk of disease in adults

0

20

40

60

80

100

Any child vaccinated Youngest child

vaccinated

%

Cases

Controls

Vaccine. 2006

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Archives of IM 2010

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CLSI Breakpoints 2011

Drug MIC (ug/mL)

Interpretive Standard

S I R

Penicillin (Meningitis) ≤ 0.06 0.12-1 ≥ 2

Penicillin (Non-meningitis) ≤ 2 4 ≥ 8

Erythromycin ≤0.25

0.5 ≥ 1

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Genotype Year

2001-2

(n=55)

2002-3

(n=41)

2003-4

(n =42)

2004-5

(n=57)

2005-6

(n=84)

2006-7

(n=93)

2007-8

(=89)

p-value

mefA+ermB- 72.7% 70.7% 52.4% 50.9% 40.5% 44.1% 34.8% <.0001

mefA-ermB+ 20.0% 26.8% 26.2% 36.8% 40.5% 31.2% 46.1% .01

ermB+mefA

+

1.8% 0.0% 9.5% 10.5% 17.9% 23.7% 19.1% <.0001

23S rRNA

(A2059G)

3.6% 2.4% 7.1% 0.0% 1.2% 1.1% 1.1% .17

[1]

Macrolide Resistance Genotypes

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Emerging Macrolide Resistance

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PCV-13

• Introduction of PCV-13 in 2000

• Coverage of PCV-7 serotypes:

–4,6B,9V,14,18C,19F,23F

• Additional serotypes:

–1,3,5,6A,7F,19A

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Pediatric Carriage of Pneumococcal Serotypes 2008-2010

0

2

4

6

8

10

12

14

16

18

20

2008 2009 2010

% o

f i

sola

tes

YEAR

6C

35B

19A

11A

15C

23B

23A

15A

21

15B like

16F

22F

15B

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Spatial Trends

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“Everything is related to everything else, but near things are more related than distant things’’

Tobler’s First Law of Geography

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Pneumococcal Case Distribution

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Disease risk varies by neighborhood

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Significant hot spots exist

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Why are there clusters of disease?

• Small area outbreaks from highly virulent clones – Pathogen Hypothesis

• Neighborhood level exposures influence risk of transmission – Vector Hypothesis

• Heterogenous population distribution – Host Hypothesis

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PFGE Analysis of Pneumo Isolates

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Genetic clustering vs. geographic clustering

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Children as Vectors

Huang CID 2005

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Child Exposure is Associated with Reduced Risk of Disease

Characteristic Cases per 100,000 95% CI

# of children in home

0 21.5 20.3 – 22.8

1 8.3 6.8 – 9.9

2+ 3.3 2.6 – 4.2

Archives of Internal Med 2010

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Key Points

• Overall risk of pneumococcal disease has declined but new serotypes are emerging

• Emerging serotypes are primarily multidrug resistance, reflecting selection of MDR clones and expansion of previously low prevalence serotypes

• Variation in disease risk likely reflects host factors, but vector and pathogen factors are rapidly changing in pneumococcal disease.

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Thanks • Robert Austrian

• Lou Bell

• Catherine Berjohn

• Charlie Branas

• Linda Crossette

• Chris Czaja

• Paul Edelstein

• Kristen Feemster

• Neil Fishman

• James Flory

• Marshall Joffe

• Ebb Lautenbach

• Yimei Li

• Zhenying Liu

• Russell Localio

• Mat Macdonald

• Irv Nachamkin

• Samir Shah

• Justine Shults

• Tony Smith