Mobile Stroke Unit in the UK Healthcare System: Avoidance of Unnecessary Accident and Emergency Admissions.

BACKGROUND: Acute stroke patients are usually transported to the nearest hospital regardless of their required level of care. This can lead to increased pressure on emergency departments and treatment delay. OBJECTIVE: The aim of the study was to explore the benefit of a mobile stroke unit (MSU) in the UK National Health Service (NHS) for reduction of hospital admissions. METHODS: Prospective cohort audit observation with dispatch of the MSU in the East of England Ambulance Service area in Southend-on-Sea was conducted. Emergency patients categorized as code stroke and headache were included from June 5, 2018, to December 18, 2018. Rate of avoided admission to the accident and emergency (A&E) department, rate of admission directly to target ward, and stroke management metrics were assessed. RESULTS: In 116 MSU-treated patients, the following diagnoses were made: acute stroke, n = 33 (28.4%); transient ischaemic attacks, n = 13 (11.2%); stroke mimics, n = 32 (27.6%); and other conditions, n = 38 (32.8%). Pre-hospital thrombolysis was administered to 8 of 28 (28.6%) ischaemic stroke patients. Pre-hospital diagnosis avoided hospital admission for 29 (25.0%) patients. As hospital treatment was indicated, 35 (30.2%) patients were directly triaged to the stroke unit, 1 patient (0.9%) even directly to the catheter laboratory. Thus, only 50 (43.1%) patients required transfer to the A&E department. Moreover, the MSU enabled thrombolysis with a median dispatch-to-needle time of 42 min (interquartile range, 40-60). CONCLUSION: This first deployment of an MSU in the UK NHS demonstrated improved triage decision-making for or against hospital admission and admission to the appropriate target ward, thereby reducing pressure on strained A&E departments.

Cardiovascular disease risk factor assessment and management in gout: an analysis using guideline-based electronic clinical decision support.

AIM: To assess the need for cardiovascular disease (CVD) risk management in patients with gout. METHODS: We studied 100 consecutive patients referred to the rheumatology service for management of gout. CVD risk factor and management data were collected. PREDICT CVD decision support software was used to calculate Framingham 5-year CVD risk, and to analyse therapeutic targets. RESULTS: Fifty-nine (59%) patients had a high (>15%) or very high (> or = 20%) 5-year CVD risk. For those at high risk of CVD, target systolic blood pressure was achieved in 34%; target LDL-cholesterol in 49%, target HDL-cholesterol in 56%; and 81% did not smoke. For patients with diabetes, target HbA1c was reached in 40%. For high-risk individuals only 50% of eligible patients were on aspirin, 64% on beta-blockers, 53% statins, and 65% ACE inhibitors. There were no significant differences in duration of gout, presence of tophaceous disease, use of urate-lowering therapy or C-reactive protein between patients at high risk of CVD, and those with lower risk. CONCLUSIONS: Patients with gout referred to secondary care are at high risk for CVD, and have a large burden of modifiable risk factors. Implementation of CVD screening and management programs in these patients should have high therapeutic yield.