Long-term azithromycin therapy in patients with severe chronic obstructive pulmonary disease and repeated pulmonary exacerbations

L’objectiu es determinar si el tractament amb azitromicina a llarg termini redueix la freqüència d’exacerbacions respiratòries en pacients amb malaltia pulmonar obstructiva crònica (MPOC) greu. Estudi retrospectiu observacional que avalua els beneficis clínics del tractament amb azitromicina a llarg termini (500 mg per via oral tres vegades per setmana) durant 12 mesos en pacients amb MPOC greu amb un mínim de 4 exacerbacions agudes (EAMPOC) per any o colonitzats per Pseudomonas aeruginosa. Es comparen amb els 12 mesos previs a l’introducció de l’azitromicina: nombre de EAMPOC, hospitalitzacions i dies d'estada hospitalària. L’azitromicina a llarg termini s’associa a una reducció significativa de EAMPOC, hospitalitzacions i dies d’estada hospitalària en pacients amb EPOC greu independentment de la colonització basal.

What do academic libraries have to do with Open Educational Resources? Theme : Long term sustainability of open education projects first steps to start up

This paper will discuss the possible roles of academic libraries in promoting, supporting, and sustaining institutional Open Educational Resource initiatives. It will note areas in which libraries or librarians have skills and knowledge that intersect with some of the needs of academic staff and students as they use and release OERs. It will also present the results of a brief survey of the views of some OER initiatives on the current and potential role of academic libraries.

Time-series regression models to study the short-term effects of environmental factors on health

Time series regression models are especially suitable in epidemiology for evaluating short-term effects of time-varying exposures on health. The problem is that potential for confounding in time series regression is very high. Thus, it is important that trend and seasonality are properly accounted for. Our paper reviews the statistical models commonly used in time-series regression methods, specially allowing for serial correlation, make them potentially useful for selected epidemiological purposes. In particular, we discuss the use of time-series regression for counts using a wide range Generalised Linear Models as well as Generalised Additive Models. In addition, recently critical points in using statistical software for GAM were stressed, and reanalyses of time series data on air pollution and health were performed in order to update already published. Applications are offered through an example on the relationship between asthma emergency admissions and photochemical air pollutants