Current controversies in the pharmacological treatment of chronic obstructive pulmonary disease Academic Article uri icon

Overview

MeSH Major

  • Adrenal Cortex Hormones
  • Adrenergic beta-2 Receptor Agonists
  • Bronchodilator Agents
  • Cardiovascular Diseases
  • Fibrinogen
  • Muscarinic Antagonists
  • Precision Medicine
  • Pulmonary Disease, Chronic Obstructive

abstract

  • Clinical phenotyping is currently used to guide pharmacological treatment decisions in chronic obstructive pulmonary disease (COPD), a personalized approach to care. Precision medicine integrates biological (endotype) and clinical (phenotype) information for a more individualized approach to pharmacotherapy, to maximize the benefit versus risk ratio. Biomarkers can be used to identify endotypes. To evolve toward precision medicine in COPD, the most appropriate biomarkers and clinical characteristics that reliably predict treatment responses need to be identified. FEV1 is a marker of COPD severity and has historically been used to guide pharmacotherapy choices. However, we now understand that the trajectory of FEV1 change, as an indicator of disease activity, is more important than a single FEV1 measurement. There is a need to develop biomarkers of disease activity to enable a more targeted and individualized approach to pharmacotherapy. Recent clinical trials testing commonly used COPD treatments have provided new information that is likely to influence pharmacological treatment decisions both at initial presentation and at follow up. In this Perspective, we consider the impact of recent clinical trials on current COPD treatment recommendations. We also focus on the movement toward precision medicine and propose how this field needs to evolve in terms of using clinical characteristics and biomarkers to identify the most appropriate patients for a given pharmacological treatment.

publication date

  • September 2016

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1164/rccm.201606-1179PP

PubMed ID

  • 27585383

Additional Document Info

start page

  • 541

end page

  • 9

volume

  • 194

number

  • 5