An outbreak of meticillin-resistant Staphylococcus aureus colonization in a neonatal intensive care unit: use of a case-control study to investigate and control it and lessons learnt.

AIM: To describe the investigation and management of a meticillin-resistant Staphylococcus aureus (MRSA) outbreak on a neonatal intensive care unit (NICU) and the lessons learnt. METHODS: This was an outbreak report and case-control study conducted in a 40-cot NICU in a tertiary referral hospital and included all infants colonized/infected with gentamicin-resistant MRSA. INTERVENTION: Standard infection-control measures including segregation of infants, barrier precautions, enhanced cleaning, assessment of staff practice including hand hygiene, and increased MRSA screening of infants were implemented. Continued MRSA acquisitions led to screening of all NICU staff. A case-control study was performed to assess staff contact with colonized babies and inform the management of the outbreak. FINDINGS: Eight infants were colonized with MRSA (spa type t2068), one of whom subsequently developed an MRSA bacteraemia. MRSA colonization was significantly associated with lower gestational age; lower birthweight and with being a twin. Three nurses were MRSA colonized but only one nurse (45) was colonized with MRSA spa type t2068. Multivariable logistic regression analysis identified being cared for by nurse 45 as an independent risk factor for MRSA colonization. CONCLUSIONS: Lack of accurate recording of which nurses looked after which infants (and when) made identification of the risk posed by being cared for by particular nurses difficult. If this had been clearer, it may have enabled earlier identification of the colonized nurse, avoiding subsequent cases. This study highlights the benefit of using a case-control study, which showed that most nurses had no association with colonized infants.

Use of linked electronic health records to assess mortality and length of stay associated with pandemic influenza A(H1N1)pdm09 at a UK teaching hospital.

Effective use of data linkage is becoming an increasingly important focus in the new healthcare system in England. We linked data from the results of a multiplex PCR assay for respiratory viruses for a population of 230 inpatients at a UK teaching hospital with their patient administrative system records in order to compare the mortality and length of stay of patients who tested positive for influenza A(H1N1)pdm09 with those positive for another influenza A virus. The results indicated a reduced risk of death among influenza A(H1N1)pdm09 patients compared to other influenza A strains, with an adjusted risk ratio of 0·25 (95% confidence interval 0·08-0·75, P = 0·01), while no significant differences were found between the lengths of stay in the hospital for these two groups. Further development of such methods to link hospital data in a routine fashion could provide a rapid means of gaining epidemiological insights into emerging infectious diseases.

Surveillance of community genital Chlamydia trachomatis testing in the East of England, 2008-2010.

BACKGROUND: Widespread testing for chlamydia is expected to result in a reduction in prevalence. In 2008, coverage indicators introduced by the Department of Health (DH) required collection and submission of all tests performed outside of genitourinary medicine clinics. No mechanism existed to collect community-based tests conducted outside of the National Chlamydia Screening Programme. The Health Protection Agency Regional Epidemiology Unit in the East of England (EoE) set up a new system to routinely collect and submit these tests on behalf of the regional Primary Care Organizations (PCOs). METHODS: Testing data were requested from all laboratories commissioned to undertake chlamydia testing by EoE PCOs. Data were imported into a bespoke Structured Query Language server database and automated data processing routines were run. Data fulfilling national criteria were submitted for inclusion in the DH indicators. RESULTS: High-quality data were submitted to set deadlines with minimum impact on laboratories. Completeness of data variables varied by laboratory and by variable type. After complex data processing, 96% of laboratory reported tests in the 15-24 year age range were eligible for submission. CONCLUSIONS: This centralized method of data collection provides high-quality data, allowing for further analysis, which can be used to inform improvements in health care. These methods could be transferred to any of the hundreds of organisms for which similar laboratory data exist.