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      Current concepts in targeting chronic obstructive pulmonary disease pharmacotherapy: making progress towards personalised management.

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          Abstract

          Chronic obstructive pulmonary disease (COPD) is a common, complex, and heterogeneous disorder that is responsible for substantial and growing morbidity, mortality, and health-care expense worldwide. Of imperative importance to decipher the complexity of COPD is to identify groups of patients with similar clinical characteristics, prognosis, or therapeutic needs, the so-called clinical phenotypes. This strategy is logical for research but might be of little clinical value because clinical phenotypes can overlap in the same patient and the same clinical phenotype could result from different biological mechanisms. With the goal to match assessment with treatment choices, the latest iteration of guidelines from the Global Initiative for Chronic Obstructive Lung Disease reorganised treatment objectives into two categories: to improve symptoms (ie, dyspnoea and health status) and to decrease future risk (as predicted by forced expiratory volume in 1 s level and exacerbations history). This change thus moves treatment closer to individualised medicine with available bronchodilators and anti-inflammatory drugs. Yet, future treatment options are likely to include targeting endotypes that represent subtypes of patients defined by a distinct pathophysiological mechanism. Specific biomarkers of these endotypes would be particularly useful in clinical practice, especially in patients in which clinical phenotype alone is insufficient to identify the underlying endotype. A few series of potential COPD endotypes and biomarkers have been suggested. Empirical knowledge will be gained from proof-of-concept trials in COPD with emerging drugs that target specific inflammatory pathways. In every instance, specific endotype and biomarker efforts will probably be needed for the success of these trials, because the pathways are likely to be operative in only a subset of patients. Network analysis of human diseases offers the possibility to improve understanding of disease pathobiological complexity and to help with the development of new treatment alternatives and, importantly, a reclassification of complex diseases. All these developments should pave the way towards personalised treatment of patients with COPD in the clinic.

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          Author and article information

          Journal
          Lancet
          Lancet (London, England)
          1474-547X
          0140-6736
          May 2 2015
          : 385
          : 9979
          Affiliations
          [1 ] Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine and Cardiovascular Research Institute, University of California, San Francisco, CA, USA.
          [2 ] Thorax Institute, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERES, Barcelona, Spain.
          [3 ] Cochin Hospital Group, Assistance Publique Hôpitaux de Paris, University Paris Descartes (EA2511), Paris, France.
          [4 ] University of Manchester, University Hospital of South Manchester Foundations Trust, Manchester, UK.
          [5 ] Weill Department of Medicine, New York-Presbyterian Hospital/Weill Cornell Medical College, New York, NY, USA; University of Michigan Health System, Ann Arbor, MI, USA. Electronic address: fjm2003@med.cornell.edu.
          Article
          S0140-6736(15)60693-6 NIHMS687245
          10.1016/S0140-6736(15)60693-6
          25943943
          70ad82e2-dc29-46ff-b9ac-f6e9eaf0ce5d
          Copyright © 2015 Elsevier Ltd. All rights reserved.
          History

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