Assessing the relationship between chronic pain and cardiovascular disease: A systematic review and meta-analysis

Alan Fayaz1, Salma Ayis2, Sukhmeet S Panesar3

  • 1Department of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.

Insights

Chronic pain is linked to increased cardiovascular disease risk, with greater pain severity correlating with higher risk. Further research is needed to confirm causality due to potential confounding factors.

Area of Science:

  • Cardiology
  • Pain Medicine
  • Public Health

Background:

  • Chronic pain affects one in three individuals, impairing quality of life.
  • While psychosocial impacts are known, biological consequences like cardiovascular disease links are less understood.
  • Existing evidence suggests chronic pain conditions correlate with increased cardiovascular disease prevalence.

Purpose of the Study:

  • To review and summarize evidence linking chronic pain and cardiovascular disease.
  • To clarify the relationship by examining dose-response gradients and confounding variables.
  • To assess the strength of association between chronic pain and cardiovascular outcomes.

Main Methods:

  • Systematic review and meta-analysis of studies from major databases (MEDLINE, EMBASE, etc.).
  • Inclusion criteria: chronic pain (≥3 months) and cardiovascular outcomes (mortality, cardiac, cerebrovascular disease).
  • Narrative exploration of pain severity and confounding variables; meta-analysis of unadjusted outcomes.

Main Results:

  • 25 studies included from 11,141 initially identified.
  • Significant associations found: chronic pain with cardiovascular mortality (OR 1.20), cardiac disease (OR 1.73), and cerebrovascular disease (OR 1.81).
  • Evidence suggests a dose-response relationship; however, confounding variables could not be ruled out due to data limitations.

Conclusions:

  • A potential dose-response association exists between chronic pain and cardiovascular disease.
  • Observational studies support this link, but causality is not established due to confounding variables.
  • Further population-based longitudinal studies are required to explore cause-and-effect relationships.
Abstract

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