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Tuberculosis Cluster Investigations Using Genotyping Data 0 25000 50000 75000 100000 125000 150000 0 50 100 150 200 250 300 350 400 450 500 550 600 Size (nt) DyeSignal 60 68.64 70 80 90 100 120 137.51 140 160 180 190 200 217.80 219.08 220 231.54 232.63 233.70 238.82 240 259.06 260 280 300 320 340 360 362.75 363.99 365.38 380 400 420 440 460 480 500 520 540 560 580 600 620 Frank Romano, MPH CDC Public Health Advisor

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Page 1: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Tuberculosis Cluster Investigations Using Genotyping Data

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Frank Romano, MPHCDC Public Health Advisor

Page 2: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Historical Perspective

• 1989 ACET & CDC Publishes A Strategic Plan for the Elimination of TB in the US

– Predicted incidence rate of 3.5 per 100,000 by 2000

– Predicted the elimination of TB by 2010

Page 3: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

History (cont.)• Late 1980’s – early 1990’s: Few states

performing TB genotyping using IS6110 RFLP

• Jan. 1990–August 1993: Strain W– MDR Strain– 357 cases reported in NYC prisons and

hospitals– HIV seropositive population– 80% mortality (Duration 4–6 weeks)

Page 4: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

• April 1996: CDC establishes the National Tuberculosis Genotyping and Surveillance Network (NTGSN)

• 1996—2000: NTGSN conducts population-based study to determine the frequency of specific strains geographically using IS6110 RFLP and Spoligotyping

• 2001: Results of study published

Page 5: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Use Genotype Results to Better Understand:

• spread of related strains in communities

• geographic mobility of related strains

• relatedness of strains in persons at high risk for tuberculosis

• capacity of local TB controllers to identify patients involved in outbreaks and to provide a database of DNA fingerprints for tuberculosis control activities

Page 6: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

CDC TB Genotyping Program

• January 2004, the CDC Tuberculosis Genotyping Program was initiated to enable rapid genotyping of isolates from every patient in the USA with culture-positive tuberculosis (TB)

• The Federal Tuberculosis Task Force recommended nationwide TB genotyping in response to the Institute of Medicine report, Ending Neglect

• The TB Genotyping Program contracts with laboratories

that provide results within 10 working days using two PCR-based genotyping tests

Page 7: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

PCR Based Testing

• Polymerase chain reaction (PCR)

• Only a small amount of culture is needed for PCR-based genotyping, and the PCR test can be completed in 1day*

*because the PCR tests are batched, the actual turn-around time from receipt of a specimen to reporting the results can be longer

Page 8: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

CDC TB Genotyping Program

Goal: Provide nationwide rapid genotyping tests

• Two CDC-funded laboratories perform genotyping for one isolate from every culture-positive TB case in the US

• CDC funded TB programs submit isolates to regional genotyping labs

• Genotyping labs report results within 10 days

Page 9: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Assigned to California Lab Assigned to Michigan Lab

CDC TB Genotyping Program:Genotyping Laboratory

AssignmentsLAB

LAB

Page 10: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

CDC Genotyping Program Laboratory Methods

Two tiered testing to maximize discriminatory power

PCR • MIRU Variable number tandem repeats of mycobacterial

interspersed repetitive units

• Spoligotyping Spacer oligonucleotide typing

IS6110-based RFLP • Done only for isolates that match by both PCR

tests• At request of CDC grantee

Page 11: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Comparison of Testing Methods

• IS6110RFLP- (Restriction Fragment Length Polymorphism)– Considered most discriminatory test worldwide– Disadvantages—Cost, time, need for specialized training & lab

equipment

• Spoligotype- (Spacer Oligonucleotide Typing)

– Lower Specificity than RFLP– Lower cost, rapid results

• MIRU- (Variable number tandem repeats of mycobacterial interspersed repetitive units)

– Lower Specificity than RFLP– Lower cost, rapid results

Page 12: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Tuberculosis Genotyping Guide

National TB Controllers Association

Centers for Disease Control and Prevention

Page 13: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor
Page 14: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Value of Genotyping

Identify and prevent transmission• Enhance contact investigations• Identify nontraditional settings of transmission• Facilitate identification of clusters and outbreaks

Improve clinical management • More readily identify false-positive cultures• Help distinguish between relapse and reinfection

Page 15: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Value of Genotyping (II)

Enhance surveillance• Evaluate prevalence of M. tuberculosis genotypes• Monitor trends in recent transmission

Evaluate prevention activities• Completeness of contact investigations• Progress toward TB elimination

Page 16: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

CDC TB Genotyping Program

• All programs with CDC Cooperative Agreements are eligible (64)

• Program options

Selective genotyping Universal genotypingUniversal genotyping for subregion

Page 17: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

D.C.

Aug 04

Universal

Selective

Mixed

Not enrolled

NYC

SD

TB Genotyping Programs

Page 18: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

D.C.

June 06

Universal

Selective

Mixed

Not enrolled

NYC

SD

TB Genotyping Programs

Page 19: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

CDC National TB Genotyping Program Update

• As of May 1, 2006, 15,573 isolates have been submitted nationally

• 439 isolates submitted from Ohio as of 7/19/2006• Ohio has 44 clusters (range 2 - 13 patients) as of

7/19/2006• Sharing genotype pattern data across jurisdictions

(Quarterly Reports from CDC)

Page 20: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Ohio’s Role

Page 21: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

County Genotyping Report

Page 22: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

County Cluster Report

Page 23: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Genotyping Results• Interpreting genotyping results and

epidemiologic data• When to initiate a cluster investigation,

initiate (expand) an outbreak investigation, or do nothing

Epi-link: a characteristic that 2 or more TB patients share that explains where and when TB could have been transmitted between them

Page 24: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Interpreting Results

• Matching genotype vs. non-matching genotype

• Epi-linked vs. non-epi-linked

• Involved in same recent chain of transmission vs. not involved

Page 25: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Matching Genotypes

False-positive culture?

Suspected false-positives are a priority• need to stop treatment for falsely

diagnosed patients as soon as possible

Page 26: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

False-Positive CulturesClinical Picture

• Health care provider or clinical lab is suspicious

• patient had only 1 positive culture out of 1 or multiple specimens collected

• patient asymptomatic for TB• patient’s chest radiograph not consistent

with TB• patient has another confirmed diagnosis

to explain symptoms

Page 27: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

False-Positive Cultures

Laboratory• specimens were processed in the same

laboratory on the same day

• isolates were collected in the same hospital or clinic within 3 days

• PCR genotyping pattern matches the laboratory control strains (H37rv or H37ra) or laboratory proficiency specimens

Page 28: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

False-Positive Cultures

False-positive result confirmed:• identify which patients actually have TB

and which patients were misdiagnosed

• alert the health care providers so they can correctly diagnose and treat the misdiagnosed patients

• alert the laboratory so the cause of the false-positive culture can be determined and corrected

Page 29: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Matching Genotypes

Patients Epi-linked prior to genotyping

Interpretation:• probably involved in same chain of recent

transmission• RFLP confirmation or cluster investigation

not needed• may determine that an outbreak

investigation is needed

Page 30: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Outbreak Investigations

• An increase in the expected number of cases

• Transmission continues despite adequate control efforts by the TB program

• The contact investigation has grown to a size that requires additional outside help

Page 31: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Cluster OH_009

• 11 Hamilton County cases + 1 Kentucky case

• CDC currently assisting with investigation in Indiana

Page 32: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

1

3 1

12

4

Number of isolates as of 06/30/2006n = 55IN = 61.8% of isolates(Note: 1 case in Florida matches on spoligotype and is missing MIRU but is linked epidemiologically)

2

34

3

1

2

3

Page 33: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Matching Genotypes

Patients have possible epi-links• are there 3+ people in the cluster?• are there high-risk people in the cluster?

If yes, request RFLP for confirmation• if RFLP does not confirm match, no

further investigation needed• if RFLP confirms match, consider doing

a cluster investigation

Page 34: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

High-risk Patients

• live in congregate settings

• are infected with HIV or have other immunocompromising conditions

• are children

• have cavitation on chest radiographs

• have MDR TB

• are homeless

Page 35: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Cluster Investigations

Should only be done when needed• can be labor intensive• detailed cluster investigation protocols

and data collection forms are available from CDC

• review information previously collected to determine if additional information is needed–may need to interview patients again

Page 36: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Prioritizing Cluster Investigations

1. suspected false positive culture2. cluster of 3+ high-risk persons w/ possible epi-links3. cluster of 2 high-risk persons w/ possible epi-links4. cluster of 3+ low-risk persons w/ possible epi-links5. cluster of 2 low-risk persons w/ possible epi-links6. cluster of high-risk persons with no epi-links7. cluster of low-risk persons with no epi-links

Page 37: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Matching Genotypes

Patients have no epi-links identified, but are involved in same chain of recent transmission

Interpretation: Failure to identify known epi-links due to -

• inadequate contact investigation• transmission from casual contact

Page 38: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Matching Genotypes

Patients not epi-linked and not involved in same chain of recent transmission

Interpretation: Matching genotypes with no recent transmission due to -

• transmission of endemic strain• large outbreak in the past• false positive culture(s)• laboratory error

Page 39: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Non-matching Genotypes

Patients epi-linked and involved in same chain of recent transmission

Interpretation: non-matching genotypes with no recent transmission due to -

• genotypes that changed slightly over time

• co-infection with >1 strain of M. tb

• laboratory error

Page 40: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Non-matching Genotypes

Patients epi-linked and not involved in same chain of recent transmission

Interpretation: • misleading epi-links identified

Page 41: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Non-matching Genotypes

Patients not epi-linked

Interpretation: • no evidence of recent transmission

Page 42: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Large Clusters

As clusters grow in size, it becomes easier to:

• identify epi-links

• identify an endemic strain

Page 43: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Deciding What To Do

Making the correct decision depends upon having complete and accurate data from a variety of sources

• patient interviews

• contact investigations

• laboratory results

• medical records

Page 44: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Questions????

0

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150000

0 50 100 150 200 250 300 350 400 450 500 550 600Size (nt)

Dye

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68.64

7080

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100 120

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140 160 180

190

200

217.80

219.08

220

231.54

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240

259.06

260 280 300 320 340 360

362.75

363.99

365.38

380 400 420 440 460480 500

520 540 560 580 600 620

Page 45: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Definitions

Selective Genotyping: The process of submitting only selected high priority M tuberculosis isolates for genotyping

Universal Genotyping: The process of submitting all M tuberculosis isolates for genotyping

Page 46: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

DefinitionsGenotype: The designation that results from one or more of the three genotyping techniques used for M tuberculosis: Spoligotyping, MIRU analysis, and IS6110-based RFLP

Genotyping: Also referred to as DNA fingerprinting. A laboratory approach that provides a description of the genetic makeup and relatedness of M. tuberculosis isolates

Cluster: A genotyping cluster is two or more M tuberculosis isolates that share matching genotypes

An epidemiologic cluster is two or more persons with TB who share epidemiologic links

Page 47: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

ODH Genotyping Contacts

• Frank Romano, MPHPublic Health Advisor(614) [email protected]

Page 48: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

Laboratory Contact Person

Kevin Sohner, B.S.Ohio Dept. of Health Laboratories

Special Microbiology Section8995 E. Main St., Bldg. 22Reynoldsburg, OH 43068

phone: (614) 644-4668fax: (614) 644-4412

e-mail: [email protected]

Page 49: Tuberculosis Cluster Investigations Using Genotyping Data Frank Romano, MPH CDC Public Health Advisor

CDC WebBoard and Contact Information

• NTCA/CDC TB Genotyping Working Group: Tom Navin, MD at [email protected]

• Guide, application instructions and updates for CDC TB Genotyping Program: http://web-tb.forum.cdc.gov Guide (printed copy): Alan Schley at [email protected]