Time- and Region-Specific Season of Birth Effects in Multiple Sclerosis in the United Kingdom.

IMPORTANCE: The reports of seasonal variation in the births of people who later develop multiple sclerosis (MS) have been challenged and attributed to the background pattern in the general population, resulting in a false association. OBJECTIVE: To study the seasonality of MS births after adjusting for temporal and regional confounding factors. DESIGN, SETTING, AND PARTICIPANTS: A study was conducted using case-control data from 8 MS-specialized centers from the United Kingdom, MS cases from a population-based study in the Lothian and Border regions of Scotland, and death records from the UK Registrar General. Participants included 21 138 patients with MS and control data from the UK Office of National Statistics and the UK government office regions. The seasonality of MS births was evaluated using the Walter and Elwood test, after adjusting for temporal and regional variations in the live births of the UK population. The study was conducted from January 16, 2014, to September 2, 2015. MAIN OUTCOMES AND MEASURES: Diagnosis of multiple sclerosis. RESULTS: Analysis of the general population indicated that seasonal differences are present across time and region in the United Kingdom, with both factors contributing to the monthly distribution of live births. We were able to demonstrate that, when adjusting for the temporal and regional variations in the live births of the UK population, there was a significant season of birth effect in patients with MS, with an increased risk of disease in the peak month (April) compared with the trough month (November) (odds ratio, 1.24; 95% CI, 1.10-1.41) and 15.68% fewer people who developed MS being born in November (observed to expected birth ratio, 0.840; 95% CI, 0.76-0.92). CONCLUSIONS AND RELEVANCE: Season of birth is a risk factor for MS in the United Kingdom and cannot be attributed to the background pattern in the general population. The reasons for the variations in birth rates in the general population are unclear, but not taking them into consideration could lead to false-positive associations.

CQUIN audit for prescription of antibiotics for urinary tract infections in an acute medical assessment unit.

Urinary tract infections (UTI) are a common presentation in a medical assessment unit, and we wanted to check compliance with hospital guidelines for antibiotic prescribing in patients presenting to hospital with urinary tract infection. The guidelines are based on local organisms and sensitivities. A retrospective audit of 40 patient records with positive urine cultures from July to August 2013 showed that 20% of patients with culture confirmed UTI were not given antibiotics at all. Of those prescribed antibiotics, 25% were non-compliant with local policy, and nearly one in two patients received more than one antibiotic. Furthermore, stop dates were not stated on 77% of the drug charts and duration of treatment ranged from one to 11 days. Interventions were then introduced in the form of group teaching sessions, proactive checks by Trust pharmacists and widely distributed posters, and the same data sets collected for April to March 2014 to assess for efficacy of the interventions. On re-auditing, 35% patients were not prescribed any antibiotics. However, compliance with local policy was 100%, including 100% drug charts having a stop/review date stated. The overall duration of treatment now ranged from one to seven days, and fewer than one in four patients had more than one antibiotic. Our results showed that improvement was needed in antibiotic stewardship, in particular with regards to compliance with the local guidelines and documentation of prescription. We have demonstrated that it is possible to improve compliance through teaching, by displaying information prominently, and vigilance by the clinical team. The outcome of this is a decreased number and duration of antibiotics prescribed, which has benefits for the patients, the hospital, and the community as a whole. Further work would include interventions to improve the number of patients who are missing antibiotic prescriptions altogether.