Quality of life and healthcare utilisation in cystic fibrosis:A multicentre UK study

The aim of our study was to discover the health status and healthcare utilisation associated with pulmonary exacerbations in cystic fibrosis (CF) and chronic Pseudomonas aeruginosa infection.

Patients with CF from five UK CF centres attended two visits, 8–12 weeks apart. They were classified at visit 1 as being in one of the three health states: no current pulmonary exacerbation; “mild” (no hospitalisation) pulmonary exacerbation; and “severe” (hospitalisation) pulmonary exacerbation. All patients completed the Cystic Fibrosis Questionnaire-Revised (CFQ-R) and EuroQol (EQ-5D) and a clinical form, and forced expiratory volume in 1 s (FEV1) was measured at visits 1 and 2. Annual healthcare utilisation data were collected.

94 patients of mean±sd age 28.5±8.2 yrs and FEV1 58.7±26.8% were recruited. 60 patients had no pulmonary exacerbation, 15 had a mild and 19 had a severe pulmonary exacerbation at visit 1. EQ-5D and CFQ-R data showed that the worse the exacerbation, the poorer the health-related quality of life (HRQoL). There were strong relationships between the CFQ-R and EQ-5D domain scores. The mean rate of pulmonary exacerbations per patient per year was 3.6 (1.5 in hospital and 2.2 at home). The mean length of stay per hospital pulmonary exacerbation was 9 days.

As exacerbation status worsens, patients experience worse HRQoL. There is a significant healthcare burden associated with treatment of pulmonary exacerbation and long-term prophylaxis.

A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data

In this paper, we present a Bayesian approach to estimate a chromosome and a disorder network from the Online Mendelian Inheritance in Man (OMIM) database. In contrast to other approaches, we obtain statistic rather than deterministic networks enabling a parametric control in the uncertainty of the underlying disorder-disease gene associations contained in the OMIM, on which the networks are based. From a structural investigation of the chromosome network, we identify three chromosome subgroups that reflect architectural differences in chromosome-disorder associations that are predictively exploitable for a functional analysis of diseases.

The impact of nonadherence to inhaled long-acting β - adrenoceptor agonist/corticosteroid combination therapy on healthcare costs in difficult-to-control asthma

Background: Asthma is a leading, preventable cause of morbidity, mortality and cost. A disproportionate amount of the cost is generated by the 5-10%of patients with difficult-to-control asthma, who are prescribed treatment at step 4/5 of the Global Initiative for Asthma (GINA) guidelines. We have previously demonstrated a high prevalence of nonadherence to inhaled combination therapy (i.e. long-acting ß -adrenoceptor agonist [ß - agonist] and corticosteroid) in this population. The aim of this study was to examine the costs of healthcare utilization in a nonadherent group of patients with difficult-to-control asthma compared with adherent subjects. We also wished to examine potential savings if nonadherence to inhaled combination therapy could be addressed. All costs were measured from the perspective of a publicly funded health service Methods: Adherence was determined through examination of patient prescription refill behaviour and validated with a medical concordance interview. Data on healthcare use were collected from a patient survey and hospital records that included prescribed medicines, hospital admissions, intensive care unit (ICU) admissions and other unscheduled healthcare visits associated with asthma care. Activity was monetized using standard UK references and between-group comparisons based on a series of univariate and multivariate regression analyses. Results: Cost differences were identified for inhaled combination therapy, nebulizer, short acting b2-agonists and hospital costs excluding and including ICU admissions between adherent and nonadherent subjects. Compared with a group who have refractory asthma and who are adherent with medication, additional healthcare costs in nonadherent subjects are offset by the reduction in costs associated with reduced medication utilization. However, if nonadherence can be successfully targeted and hospital admissions avoided in this population, there is a potential $475 ($843-$368) saving per patient, per annum. Conclusion: Nonadherence is an important cause of difficult-to-control asthma. A uniform cost for subjects with difficult-to-control disease can be applied to economic analyses, independent of adherence, as increased healthcare utilization costs are offset by the reduced medication cost due to poor adherence. However, there are substantial potential savings in subjects with difficult-to-control asthma, who are nonadherent to inhaled combination therapy, if cost effective strategies for nonadherence are developed. © 2011 Adis Data Information BV. All rights reserved.