Comparison of Molecular and Conventional Methods for Detection of Multidrug-Resistant Tuberculosis in the United States, 2009 to 2011 Mitchell A. Yakrus,

Slides:



Advertisements
Similar presentations
Endemic or Outbreak? Differentiating recent transmission of an historic tuberculosis strain in New York City IUATLD-NAR 16 th Annual Meeting February 23-25,
Advertisements

Angela M. Starks, Ph.D. Microbiologist, Laboratory Capacity Team Laboratory Branch, Division of Tuberculosis Elimination CTCA Conference April 28, 2011.
Information Call for Funding Opportunity Announcement CDC-RFA-PS Tuberculosis Elimination and Laboratory Cooperative Agreement July 10, 2014 Glen.
ACET March 20-21, 2007 DTBE Director’s Report Kenneth G. Castro, M.D. Assistant Surgeon General, USPHS Director, Division of Tuberculosis Elimination National.
World Tuberculosis Day 2015 The TB situation in 2013: Findings from the joint TB surveillance and monitoring report by ECDC and the WHO Regional Office.
Module 3: Drug-Resistant TB. Learning Objectives Describe how drug resistance emerges Explain the difference between primary and secondary resistance.
ISDH Lab TB Testing Update Lixia Liu PhD MP(ASCP) September 16, 2010.
World Tuberculosis Day 2014 The TB situation in 2012: Findings from the joint TB surveillance and monitoring report by ECDC and the WHO Regional Office.
World Tuberculosis Day 2014 The TB situation in 2012: Findings from the joint TB surveillance and monitoring report by ECDC and the WHO Regional Office.
4 th National Anti-tuberculosis Drug Resistance Survey Botswana, 2007.
The Global Plan to Stop TB, (1)
Culture Conversion and Self- Administered Therapy in Privately Managed Tuberculosis Patients Melissa Ehman MPH, Jennifer Flood MD MPH, Pennan Barry MD.
Molecular methods for TB drug resistance testing: what is needed? Experience from Khayelitsha, Cape Town, South Africa Helen Cox, PhD, Burnet Institute.
Figure 1. Number of Tuberculosis Cases: California, California Department of Public Health, Tuberculosis Control Branch Number of Tuberculosis.
Assessment of Program Evaluation Activities in Tuberculosis Control Programs — United States, 2009–2010 Silvia M. Trigoso, MPH Fellow, Public Health Prevention.
1 Local Assistance Funding James Watt, MD, MPH CTCA Fall Meeting 2010.
1 Epidemiology of Pediatric Tuberculosis in the United States, 1993–2006 Surveillance, Epidemiology, and Outbreak Investigations Branch Division of Tuberculosis.
Three key messages on tuberculosis control World Tuberculosis Day 2010 ECDC TB Team European Centre for Disease Prevention and Control Stockholm, 24 March.
Tuberculosis Research of INA-RESPOND on Drug-resistant
Tuberculosis Treatment Completion Among Persons Incarcerated at Diagnosis, U.S. TB Surveillance System, 1999–2008 Kiren Mitruka, MD, MPH (presented on.
Extensive Second-line Drug Resistance in Tuberculosis - “XDR TB”: Global Survey of Supranational TB Reference Laboratories Sarita Shah 1, Abigail Wright.
Wisconsin State Laboratory of Hygiene. WISCONSIN STATE LABORATORY OF HYGIENE Case Study Youngmi Kim, MS, ASCP(M) Senior Microbiologist, Wisconsin State.
WISCONSIN STATE LABORATORY OF HYGIENE 1 State Lab Perspective Julie Tans-Kersten, MS, BS-MT (ASCP) Tuberculosis Laboratory Program Coordinator Wisconsin.
Division of Tuberculosis Elimination Centers for Disease Control and Prevention Tuberculosis in the United States National Tuberculosis Surveillance System.
Tuberculosis in the United States National Tuberculosis Surveillance System Highlights from 2011 National Center for HIV/AIDS, Viral Hepatitis, STD, and.
Introduction to Tuberculosis Genotyping National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention Division of Tuberculosis Elimination.
2,500 3,000 3,500 4,000 4,500 5,000 5,500 6,000 2,500 3,000 3,500 4,000 4,500 5,000 5,500 6,000 Figure 1. Number of Tuberculosis Cases: California,
Epidemiology of Tuberculosis in Correctional Facilities, United States, Surveillance, Epidemiology and Outbreak Investigations Branch Division.
Number of Tuberculosis Cases: California, Number of Tuberculosis Cases.
Surveillance, Epidemiology, and Outbreak Investigations Branch Division of Tuberculosis Elimination Centers for Disease Control and Prevention (CDC) Epidemiology.
Do we need to test for isoniazid resistance? No conflict of interest Claudia Denkinger, MD PhD McGill University, Montreal Foundation for Innovative New.
Surveillance, Epidemiology, and Outbreak Investigations Branch Division of Tuberculosis Elimination Centers for Disease Control and Prevention (CDC) Epidemiology.
Diagnostic algorithms of TB case finding and their effect on TB epidemiology in Russian Regions Andrey Maryandyshev, Elena Nikishova Northern State Medical.
Figure 1. Number of Tuberculosis Cases: California, Number of Tuberculosis Cases
TB Control Program County of San Diego County of San Diego Health and Human Services Agency Tuberculosis Control Branch Trends in Tuberculosis Highlights.
Peter Cegielski, MD, MPH Team Leader for Prevention, Care and Treatment Global Tuberculosis Branch Division of Global HIV and TB Reinforcing the Surveillance.
PMDT IN CHINESE TAIPEI ECONOMY Anita Pei-Chun Chan, MD, PhD Medical Officer, TCDC Associated Director, TB Research Center, TCDC Assistant Professor, Institute.
Janet Heitgerd, PhD Program Evaluation Branch, Associate Chief for Science American Evaluation Association Annual Meeting November 2010 Improving the Design,
INSTITUTO DE INFECTOLOGIA EMÍLIO RIBAS Identification of Mycobacterium tuberculosis complex in clinical specimens of HIV-infected patients at Instituto.
World Tuberculosis Day 2016 Monitoring the implementation of the Framework Action Plan to Fight Tuberculosis in the European Union – Situation in 2014.
TM Building Program Capacity for Evaluating Tuberculosis Surveillance Data Quality Presenter: Lakshmy Menon MPH ASPH/CDC Fellow Co-authors: Kai Young MPH,
Tuberculosis in the United States
TB Genotyping and Whole Genome Sequencing in California
TUBERCULOSIS IN JAPAN ANNUAL REPORT – 2016.
Tuberculosis in the United States
World Tuberculosis Day 2014
World TB Day Presentation March 24th, 2011 By Ijeoma Agulefo, MPH Health Education Specialist, DTBE Bisrat Abraham, MD, MPH EIS Officer, DTBE . National.
World Tuberculosis Day 2013
World Tuberculosis Day 2014
William Burman Denver Public Health Tuberculosis Trials Consortium
Tuberculosis in the United States
Field Services and Evaluation Branch
World Tuberculosis Day 2015
Rapid diagnosis of pyrazinamide-resistant multidrug-resistant tuberculosis using a molecular-based diagnostic algorithm  S.O. Simons, T. van der Laan,
Tuberculosis situation in the EU/EEA, 2016
National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
World Tuberculosis Day 2014
Drug susceptibility testing and mortality in patients treated for tuberculosis in high-burden countries Kathrin Zürcher, Marie Ballif, Lukas Fenner, Sonia.
STREAM (Evaluation of a Standardised Treatment Regimen of Anti-tuberculosis Drugs for Patients with Multidrug-resistant Tuberculosis) treatment regimens.
World Tuberculosis Day 2016
World Tuberculosis Day 2014
Rapid and accurate detection of rifampin and isoniazid-resistant Mycobacterium tuberculosis using an oligonucleotide array  W.-L. Huang, Z.-J. Hsu, T.C.
Characterization of Mycobacterium tuberculosis isolated from cancer patients with suspected tuberculosis infection in Egypt: identification, prevalence,
Clinical Epidemiology and Global Health
Tuberculosis drug-resistance in Lisbon, Portugal: a 6-year overview
Using Whole Genome Sequencing Analysis in California
Division of Tuberculosis Elimination
Synchronization of a basic diagnostic algorithm (linked diagnostic tests) with different levels of diagnostic services. Synchronization of a basic diagnostic.
Fig. 1. Antituberculosis drug resistance rate (%) and pattern in sanatoria of North Korea: (A) patients (n = 489) in all sanatoria analyzed in this study,
Basic diagnostic algorithm to link the molecular line probe assay with solid culture- and liquid culture-based growth detection and susceptibility testing.
Presentation transcript:

Comparison of Molecular and Conventional Methods for Detection of Multidrug-Resistant Tuberculosis in the United States, 2009 to 2011 Mitchell A. Yakrus, MS, MPH Microbiologist Laboratory Branch 16 th Annual Conference The Union-North American Region February 25, 2012 National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention Division of Tuberculosis Elimination

Background  CDC’s DTBE Laboratory Branch provides a service for the molecular detection of drug resistance (MDDR) to rapidly identify multidrug-resistant isolates of Mycobacterium tuberculosis complex (MTBC)  DNA sequencing of 9 genetic loci associated with resistance to first and second-line drugs  Concurrently perform growth-based conventional drug susceptibility testing (DST)  Agar proportion for 12 first and second-line antituberculosis drugs  MGIT 960 for pyrazinamide  MTBC isolates must meet specific criteria before submission for MDDR

Molecular Analysis Conventional DST Molecular Results (Interim Report) MDDR Isolate Received Molecular + Conventional DST Results (Final Report) MDDR Request/Approval

Methods  Received 285 requests for MDDR testing from 43 public health laboratories from September 2009 to February 2011  Analyzed agreement between molecular and conventional results for rifampin (RMP) and isoniazid (INH)  Examined submission criteria as indicated on request forms for possible association with resistance to RMP or INH  Isolate known to be multi-drug resistant (MDR)  Patient previously treated for tuberculosis (TB)  Patient from an area with a high rate of drug resistance (foreign born)

Agreement Between Molecular and Conventional Testing DrugNo. of Isolates with Both MDDR and Conventional Results No. of Discordant Results Between MDDR and Conventional Methods Percent Agreement Between Methods RMP % INH %

Association of RMP or INH Resistance with Submission Criteria Submission CriterionAssociation of Detection of RMP or INH Resistance with Testing Method MDDRConventional Known MDRp < Previous Treatmentp = 0.585p = Foreign Bornp = 0.064p = 0.271

Summary  MDDR was highly concordant with drug resistance results from growth-based conventional testing  Detection of resistance to RMP or INH was not significantly associated with specific submission criteria with the exception of whether isolates were submitted as known MDR  Further analysis of the association of submission criteria with results is needed to optimize testing algorithms  Need to collect clinical outcome data for patients to measure impact of rapidly identifying drug resistance and discordant results

Acknowledgements  Angela M. Starks, PhD, Team Lead, Laboratory Capacity  Beverly Metchock, Dr. P.H., D(ABMM), Team Lead, Reference Team