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Relationships between Easily Available Biomarkers and Non-Dipper Blood Pressure Pattern in Patients with Stable

Andrei Drugescu1, Mihai Roca1, Ioana Mădălina Zota1

  • 1Medical I Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.

Life (Basel, Switzerland)
|March 29, 2023
PubMed

Insights

Monocyte to lymphocyte ratio (MLR) and platelet to lymphocyte ratio (PLR) can predict a non-dipping blood pressure pattern in hypertensive patients with coronary artery disease. These inflammation markers offer a cost-effective approach for identifying at-risk individuals.

Area of Science:

  • Cardiology
  • Inflammation research
  • Biomarker discovery

Background:

  • Chronic inflammation is integral to hypertension (HTN) and coronary artery disease (CAD) pathophysiology.
  • A non-dipping circadian blood pressure (BP) pattern exacerbates cardiovascular risk and atherosclerotic events.
  • Neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), and platelet to lymphocyte ratio (PLR) indicate systemic inflammation and cardiovascular risk.

Purpose of the Study:

  • To assess if NLR, MLR, and PLR serve as cost-effective predictors of a non-dipping BP pattern.
  • To investigate the relationship between inflammatory markers and non-dipping BP in hypertensive patients with stable CAD.

Main Methods:

  • Cross-sectional retrospective analysis of 80 hypertensive patients with stable CAD.
  • Inclusion of clinical examination, 24-hour ambulatory BP monitoring (ABPM), and blood analysis.
  • Comparison of inflammatory marker levels between dipper and non-dipper BP groups.

Main Results:

  • Patients with a non-dipper BP pattern exhibited significantly higher NLR, MLR, and PLR.
  • NLR, MLR, and PLR were statistically significant predictors (p < 0.001).

Conclusions:

  • MLR and PLR are inexpensive and accessible biomarkers for predicting non-dipping BP patterns.
  • These ratios can aid in identifying hypertensive patients with stable CAD at higher cardiovascular risk.
Abstract

Keywords:
biomarkerscoronary artery diseasehypertensionnon-dipper pattern

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