Utility measures of health-related quality of life are preference values that patients attach to their overall health status. In clinical trials, utility measures summarize both positive and negative effects of an intervention into one single value between 0 (equal to death) and 1 (equal to perfect health). These measures allow for comparison ofpatient outcomes of different diseases and allow for comparison between various health care interventions. There are two different approaches to utility measurement.The first is to classify patients into categories based on their responses to a number of questions about their functional status, as for instance the Quality of Well-Being questionnaire. The second approach is to ask patients to assign a single rating to their overall health by means of rating scale, standard gamble, time trade-off; or willingness to pay. The Quality Adjusted Life Year (QALY) as outcome measure includes both effects in terms of quality and quantity of life. Utilities are used as weights to adjust life years for the quality of life in order to calculate QALYs. Both QALYs and utilities are useful in decision-making regarding appropriate procedures for groups of patients.

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Calculating the cost-effectiveness of interventions is an important step in accurately assessing the health and financial burdens of a disease. Although clinical trials that include cost data can be used to compare the cost-effectiveness of specific interventions, they only deal with outcomes within the time frame of the trial. Health economic models can synthesize epidemiologic, clinical, economic, and quality-of-life data from many different sources and extrapolate results to a point many years in the future. The models generally compare interventions with respect to the costs per life-year gained or per quality-adjusted life-year gained. The use of health economic models to assess the economic burden of chronic obstructive pulmonary disease (COPD) and the value of interventions is growing, and will continue to do so as the burden of the disease is better appreciated. Several COPD disease-state models have been described; each uses a consistent definition of COPD severity that is based on FEV(1)% predicted, but the models differ in the allowed transitions, disease progression estimates, utility weights, and costs. This article reviews COPD health economic models and discusses the importance of survival benefits and utilities (health state valuations) for COPD in economic models.

Conclusions: BRCA 1/2 mutation rate was significantly lower in sporadic TNBC than in other TNBC showing at least some degree of familial history. Our results highlight the importance of personal and family history in determining the risk of germline BRCA 1/ 2 mutation in TNBC < 60 years of age. These data might be useful to prioritize access to test, also in view of the increasingly relevant role of the BRCA1/2 mutations in the choice of the therapeutic strategies.Legal entity responsible for the study: The authors.

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