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Objective: Routine administrative data have been used to show that patients admitted to hospitals over the weekend appear to have a higher mortality compared to weekday admissions. Such data do not take the severity of sickness of a patient on admission into account. Our aim was to incorporate a standardized vital signs physiological-based measure of sickness known as the National Early Warning Score to investigate if weekend admissions are: sicker as measured by their index National Early Warning Score; have an increased mortality; and experience longer delays in the recording of their index National Early Warning Score. Methods: We extracted details of all adult emergency medical admissions during 2014 from hospital databases and linked these with electronic National Early Warning Score data in four acute hospitals. We analysed 47,117 emergency admissions after excluding 1657 records, where National Early Warning Score was missing or the first (index) National Early Warning Score was recorded outside ±24 h of the admission time. Results: Emergency medical admissions at the weekend had higher index National Early Warning Score (weekend: 2.53 vs. weekday: 2.30, p<0.001) with a higher mortality (weekend: 706/11,332 6.23% vs. weekday: 2039/35,785 5.70%; odds ratio=1.10, 95% CI 1.01 to 1.20, p=0.04) which was no longer seen after adjusting for the index National Early Warning Score (odds ratio=0.99, 95% CI 0.90 to 1.09, p=0.87). Index National Early Warning Score was recorded sooner (-0.45 h, 95% CI -0.52 to -0.38, p<0.001) for weekend admissions. Conclusions: Emergency medical admissions at the weekend with electronic National Early Warning Score recorded within 24 h are sicker, have earlier clinical assessments, and after adjusting for the severity of their sickness, do not appear to have a higher mortality compared to weekday admissions. A larger definitive study to confirm these findings is needed. [ABSTRACT FROM AUTHOR]

Background: an increased mortality rate among patients admitted to hospital at weekends has been found in many studies, and this 'weekend effect' has been used to justify major health service reorganisation. Most studies have used routine administrative data to adjust for potential confounding factors, and are unable to measure differences in illness severity due to the tendency of patients with milder symptoms to stay home at weekends. We set out to estimate the importance of such unmeasured 'confounding by severity', using data from a hospital stroke register. Methods: all suspected acute stroke admissions in Gateshead were prospectively registered over a period of 14.3 years, including information on premorbid factors, measures of stroke severity and survival to hospital discharge. We examined whether each factor differed between weekday and weekend admissions, then used logistic regression to estimate the main contributors to variation in mortality rates. Results: stroke severity, measured by the Scandinavian Stroke Scale (SSS), was significantly greater among weekend admissions and strongly associated with mortality, and after adjustment for SSS score in logistic regression, the weekend effect completely disappeared. By contrast, most indicators of pre-stroke function, comorbidity or stroke type did not differ between weekday and weekend admissions, although some of them had prognostic significance. Conclusions: the sorts of factors measurable in administrative databases only account for a small part of the prognostically important differences in case-mix between weekday and weekend stroke admissions. While increasing weekend staffing might improve adherence to care standards, evidence that it could save lives is unreliable. [ABSTRACT FROM AUTHOR]

Background: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease, whose exact cause remains unclear. A wide range of risk factors has been proposed that helps understanding potential disease pathogenesis. However, there is little consistency for many risk factor associations, thus we undertook an exploratory study of risk factors using data from the UK ME/CFS Biobank participants. We report on risk factor associations in ME/CFS compared with multiple sclerosis participants and healthy controls.Methods: This was a cross-sectional study of 269 people with ME/CFS, including 214 with mild/moderate and 55 with severe symptoms, 74 people with multiple sclerosis (MS), and 134 healthy controls, who were recruited from primary and secondary health services. Data were collected from participants using a standardised written questionnaire. Data analyses consisted of univariate and multivariable regression analysis (by levels of proximity to disease onset).Results: A history of frequent colds (OR = 8.26, P <= 0.001) and infections (OR = 25.5, P = 0.015) before onset were the strongest factors associated with a higher risk of ME/CFS compared to healthy controls. Being single (OR = 4.41, P <= 0.001), having lower income (OR = 3.71, P <= 0.001), and a family history of anxiety is associated with a higher risk of ME/CFS compared to healthy controls only (OR = 3.77, P < 0.001). History of frequent colds (OR = 6.31, P < 0.001) and infections before disease onset (OR = 5.12, P = 0.005), being single (OR = 3.66, P = 0.003) and having lower income (OR = 3.48, P = 0.001), are associated with a higher risk of ME/CFS than MS. Severe ME/CFS cases were associated with lower age of ME/CFS onset (OR = 0.63, P = 0.022) and a family history of neurological illness (OR = 6.1, P = 0.001).Conclusions: Notable differences in risk profiles were found between ME/CFS and healthy controls, ME/CFS and MS, and mild-moderate and severe ME/CFS. However, we found some commensurate overlap in risk associations between all cohorts. The most notable difference between ME/CFS and MS in our study is a history of recent infection prior to disease onset. Even recognising that our results are limited by the choice of factors we selected to investigate, our findings are consistent with the increasing body of evidence that has been published about the potential role of infections in the pathogenesis of ME/CFS, including common colds/flu. [ABSTRACT FROM AUTHOR]