Conducted by the London School of Hygiene & Tropical Medicine and Wellcome Trust Sanger Institute, and published in Science Translational Medicine, the research has important implications for infection control. It shows that sequencing of MRSA (methicillin-resistant Staphylococcus aureus) whenever someone is detected with the strain, and combining this with information on when and where transmission may have occurred, could link cases and detect outbreaks much sooner. This would help to prevent further transmission and reduce the number of people involved.
Sharon Peacock, the study lead at the London School of Hygiene & Tropical Medicine and the Wellcome Trust Sanger Institute, said: “Our study has shown that sequencing all MRSA samples as soon as they are isolated can rapidly pinpoint where MRSA transmission is occurring. If implemented in clinical practice this would provide numerous opportunities to catch outbreaks early and target these to bring them to a close, for example by decolonising carriers and implementing barrier nursing. We have the technology in place to do this and it could have a really positive impact on public health and patient outcomes.”
The study reported by Dr Francesc Coll, a Research Fellow at the School, and colleagues, tracked everyone who had an MRSA-positive sample in the east of England over one year. They sequenced the DNA of at least one MRSA strain from 1,465 people, based on routine samples submitted to a microbiology laboratory that served three hospitals and 75 GP surgeries. They detected 173 different outbreaks, most of which had not been previously spotted, and discovered MRSA outbreaks in hospitals, in the community, GP surgeries, homes and in between these places.
MRSA is a bacterial strain that is resistant to many antibiotics and is a leading cause of infections associated with hospitals and healthcare. Bloodstream infection caused by MRSA is difficult to treat and results in the death of up to a fifth of patients affected. Even when the infection is treated, MRSA infections double the average length of hospital stays and increase healthcare costs.
Patients may be screened for MRSA after they are admitted to hospital, where infection control measures are used to monitor and try to reduce the spread of MRSA. When new MRSA carriers are detected, this is investigated to confirm whether an outbreak is underway, looking for links between patients in time and place.
However, this current approach is not very effective, especially given the speed with which patients can move around different parts of the hospital or even between hospitals during their care. This approach can also miss MRSA transmission between people in hospitals and the community, and outbreaks in family or community groups can be difficult to detect.
The technology for sequencing MRSA strains has advanced rapidly, allowing the information to be obtained much faster and more economically than was previously possible. A follow-up study will start next year, during which the researchers will sequence MRSA strains from all new cases and share strain and tracking information in real time with infection control workers. This will aim to help detect and exclude outbreaks and allowing targeted and effective interventions.
Dr Julian Parkhill, co-author from the Wellcome Trust Sanger Institute, said: “Using whole genome sequencing we have been able to see the full picture of MRSA transmission within hospitals and the community for the first time. We found that sequencing MRSA from all affected patients detected many more outbreaks than standard infection control approaches. This method could also exclude suspected outbreaks, allowing health authorities to rationalise resources.”
Francesc Coll, Ewan M. Harrison, Michelle S. Toleman, Sandra Reuter, Kathy E. Raven, Beth Blane, Beverley Palmer, A. Ruth M. Kappeler, Nicholas M. Brown, M. Estée Török, Julian Parkhill, Sharon J. Peacock. Longitudinal genomic surveillance of MRSA in the UK reveals transmission patterns in hospitals and the community. Science Translational Medicine. DOI: 10.1126/scitranslmed.aak9745