Tools for outcome prediction in patients with community acquired pneumonia

Faheem Khan, Mark B. Owens, Marcos Restrepo, Pedro Povoa, Ignacio Martin-Loeches

Research output: Contribution to journalReview article

9 Scopus citations

Abstract

Introduction: Community-acquired pneumonia (CAP) is one of the most common causes of mortality world-wide. The mortality rate of patients with CAP is influenced by the severity of the disease, treatment failure and the requirement for hospitalization and/or intensive care unit (ICU) management, all of which may be predicted by biomarkers and clinical scoring systems. Areas covered: We review the recent literature examining the efficacy of established and newly-developed clinical scores, biological and inflammatory markers such as C-Reactive protein (CRP), procalcitonin (PCT) and Interleukin-6 (IL-6), whether used alone or in conjunction with clinical severity scores to assess the severity of CAP, predict treatment failure, guide acute in-hospital or ICU admission and predict mortality. Expert commentary: The early prediction of treatment failure using clinical scores and biomarkers plays a developing role in improving survival of patients with CAP by identifying high-risk patients requiring hospitalization or ICU admission; and may enable more efficient allocation of resources. However, it is likely that combinations of scoring systems and biomarkers will be of greater use than individual markers. Further larger studies are needed to corroborate the additive value of these markers to clinical prediction scores to provide a safer and more effective assessment tool for clinicians.

Original languageEnglish (US)
Pages (from-to)201-211
Number of pages11
JournalExpert Review of Clinical Pharmacology
Volume10
Issue number2
DOIs
StatePublished - Feb 1 2017

Keywords

  • APACHE
  • community acquired pneumonia
  • CURB
  • Pneumonia
  • scores
  • sepsis
  • treatment failure

ASJC Scopus subject areas

  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Pharmacology (medical)

Fingerprint Dive into the research topics of 'Tools for outcome prediction in patients with community acquired pneumonia'. Together they form a unique fingerprint.

Cite this