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Ahead of Print -Fatal Nosocomial MDR TB Identified through Routine Genetic Analysis and Whole-Genome Sequencing - Volume 21, Number 6—June 2015 - Emerging Infectious Disease journal - CDC

Ahead of Print -Fatal Nosocomial MDR TB Identified through Routine Genetic Analysis and Whole-Genome Sequencing - Volume 21, Number 6—June 2015 - Emerging Infectious Disease journal - CDC



CDC. Centers for Disease Control and Prevention. CDC 24/7: Saving Lives. Protecting People.

Volume 21, Number 6—June 2015

Letter

Fatal Nosocomial MDR TB Identified through Routine Genetic Analysis and Whole-Genome Sequencing

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To the Editor: In November 2012, a 44-year-old HIV-negative white man (patient 1) with fever, fatigue, and breathlessness sought care at a hospital in the United Kingdom. He had never traveled abroad but had biopsy-proven alcoholic cirrhosis. No acid-fast bacilli were seen on multiple samples, including ascitic fluid, and he received treatment for presumptive abdominal tuberculosis (TB). Mycobacterium tuberculosis was subsequently cultured after 12 days. His clinical condition deteriorated, and he died of multiorgan failure 44 days after admission. The cultured M. tuberculosis was subsequently confirmed as multidrug resistant (Technical Appendix[PDF - 87 KB - 3 pages] Table).
Routine mycobacterial interspersed repetitive unit–variable-number tandem-repeat (MIRU-VNTR) testing was performed (1) (Technical Appendix[PDF - 87 KB - 3 pages] Table). A matching MIRU-VNTR profile was identified from a 42-year-old South African–born, HIV-positive health care worker (patient 2) who had died in 2008 after admission to the same hospital. She has been described previously in detail because she had worked at Tugela Ferry hospital in KwaZulu-Natal, South Africa, which was associated with a 2005 outbreak of multidrug-resistant TB (MDR TB) and extensively drug-resistant TB (2,3) (Technical Appendix[PDF - 87 KB - 3 pages] Figure 1). To ascertain whether these isolates could have matching MIRU-VNTR patterns by chance alone, we compared the MIRU-VNTR results with a national database of ≈11,745 isolates typed since the UK typing service began in 2010. Only 2 other isolates matched (from patients 3 and 4), originating from a UK hospital ≈100 miles away. Although both patients were HIV-positive health care workers from sub-Saharan Africa, no history of contact could be established with patients 1 or 2.
A review of admission records established that patients 1 and 2 were admitted to the same medical ward in 2008 for 8 days, suggesting a high probability of nosocomial transmission. The ward had a traditional “Nightingale” configuration with beds for male and female patients arranged dormitory-style. In 2009, patient 1 had been identified as a contact of patient 2 and was offered screening for latent infection but had failed to attend appointments and was not under regular medical follow-up. No other common contact was identified. The estimated time from known contact between patients 1 and 2 until the clinical presentation of patient 1 was 49 months.
Sequencing libraries from genomic DNA extracted from the 4 UK M. tuberculosis isolates that had matching MIRU-VNTR profiles were paired-end sequenced by using Illumina MiSeq (Illumina, San Diego, CA, USA). To investigate the origins of the infections, they were compared with 36 South Africa strains (including 3 from the Tugela Ferry outbreak [4]) sequenced by using Illumina HiSeq 2000 platforms.
For each sequenced strain, a random subset of reads was aligned at ≈100× coverage to the M. tuberculosis H37Rv reference genome by using BWA version 0.5.9-r16 (5). Pilon v1.5 (http://www.broadinstitute.org/software/pilon/) was run in variant discovery to generate a list of single-nucleotide polymorphisms (SNPs) and insertions and deletions. We estimated a phylogeny using RAxML v7.7.8 (6) using a general time reversible + gamma substitution model with 1,000 bootstrap replicates.
Pairwise comparison of whole-genome sequences from M. tuberculosis isolated from patients 1 and 2 found that the 2 sequences differed at only 4 SNPs (Table). Based on previous estimates of background mutations rates of 0.5 SNP/year (7), the pairwise distance between isolates from patient 1 and 2 increases confidence in the epidemiologic data implicating transmission >4 years earlier, although uncertainties exist around such estimates. Comparison between samples from patient pairs (1+2 vs. 3+4) found differences of 69–72 SNPs, which strongly argues against transmission between them.
In comparison with isolates sampled from KwaZulu-Natal (Technical Appendix[PDF - 87 KB - 3 pages] Figure 1), isolates from patients 1 and 2 were closely related to a strain associated with the Tugela Ferry outbreak (KZN605; Technical Appendix[PDF - 87 KB - 3 pages] Figure 2). Isolates from patients 3 and 4 were less closely related to isolates from the Tugela Ferry outbreak but were closely related to other isolates circulating within the region, consistent with the hypothesis that both infections originally occurred within South Africa.
This investigation illustrates the power of current technology to inform our understanding of the links in MDR TB transmission between low- and high-incidence areas. Whole-genome sequencing of pathogens is becoming part of routine practice for establishing transmission and resistance patterns (8). The greater certainty it brings to transmission data can provide evidence to justify more active policies of screening and isolation as part of infection control. The nosocomial transmission described here is consistent with the fact that a person with pulmonary TB (patient 2) was managed on an open ward before being put into respiratory isolation and had not been previously screened by occupational health services.
Recent data reviewing MDR TB transmission in the United Kingdom before 2007 did not identify cases of nosocomial transmission during that period (9). However, the emergence of MDR TB in regions of high HIV prevalence is relatively recent (10), and the cases described here suggest that increased vigilance for TB and MDR TB among migrating health care workers might be required.
O. Martin Williams, Thomas Abeel, Nicola Casali, Keira Cohen, Alex S. Pym, Sarah B. Mungall, Christopher A. Desjardins, Anindo Banerjee, Francis Drobnieskwi, Ashlee M. Earl, and Graham S. CookeComments to Author 
Author affiliations: Bristol Royal Infirmary, Bristol, UK (O.M. Williams); Ghent University, Ghent, Belgium (T. Abeel)Broad Institute, Cambridge, Massachusetts, USA (T. Abeel, C.A. Desjardins, A.M. Earl)Queen Mary University of London, London, UK (N. Casali)Imperial College London, London (N. Casali, F. Drobnieskwi, G.S. Cooke)K-Research Institute for TB/HIV, Durban, South Africa (K. Cohen, A.S. Pym)University Hospitals Bristol NHS Foundation Trust, Bristol (S.B. Mungall)University Hospital Southampton NHS Trust, Southampton, UK (A. Banerjee)

Acknowledgments


We thank the families of patients who gave permission for this study and all those involved in data collection. We also thank Tim Brown, Vladyslav Nikolayevskyy, and Madeline Stone for the VNTR analysis and helpful comments and the staff of Public Health England National Mycobacterium Reference Laboratory for their assistance.
This study was supported in part by the Imperial College NHS Trust Biomedical Research Centre, National Institute for Health Research Health Protection Research Units (NIHR HPRU) in Healthcare Associated Infection and Antimicrobial Resistance and the NIHR HPRU in Respiratory Infections, both at Imperial College London in partnership with Public Health England. We received funding from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, under contract no. HHSN272200900018C and grant no. U19AI110818. T.A. is a postdoctoral fellow of the Research Foundation–Flanders.

References

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Table

Technical Appendix

Suggested citation for this article: Williams OM, Abeel T, Casali N, Cohen K, Pym AS, Mungall SB, et al. Fatal nosocomial MDR TB identified through routine genetic analysis and whole-genome sequencing [letter]. Emerg Infect Dis. 2015 Jun [date cited]. http://dx.doi.org/10.3201/eid2106.141903


DOI: 10.3201/eid2106.141903

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