Development of a Novel Inflammatory Index to Predict Coronary Artery Disease Severity in Patients With Acute Coronary

Sridhar Mangalesh1, Sharmila Dudani2, Nalin K Mahesh3

  • 1Department of Medicine, Army College of Medical Sciences, New Delhi, India.

Angiology
|January 11, 2023
PubMed

Insights

A new index, the systemic immune-inflammation response index (SIIRI), shows promise in predicting severe coronary artery disease (CAD). This novel marker outperformed existing indices in identifying patients with significant coronary artery disease.

Area of Science:

  • Cardiovascular Medicine
  • Inflammation Biomarkers
  • Clinical Diagnostics

Background:

  • Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are established predictors for coronary artery disease (CAD).
  • There is a need for improved inflammatory markers to assess CAD severity accurately.

Purpose of the Study:

  • To develop and validate a novel systemic immune-inflammation response index (SIIRI) for predicting severe CAD.
  • To compare the predictive performance of SIIRI against existing inflammatory markers.

Main Methods:

  • A novel index, SIIRI (neutrophil × monocyte × platelet ÷ lymphocyte), was calculated for 240 acute coronary syndrome patients undergoing percutaneous coronary intervention.
  • Coronary artery disease severity was assessed using the SYNTAX score.
  • Multivariate analysis and receiver operator characteristic (ROC) curves were used to evaluate SIIRI's predictive value.

Main Results:

  • SIIRI independently predicted severe CAD (OR 1.666 per 10^5 unit increase).
  • SIIRI demonstrated the highest area under the ROC curve (.771) compared to SII, SIRI, and other ratios.
  • Adding SIIRI to a baseline model significantly improved model performance, including discrimination and reclassification.

Conclusions:

  • The novel SIIRI is a valuable and independent predictor of severe coronary artery disease.
  • SIIRI offers superior predictive capability for severe CAD compared to existing inflammatory indices.
  • SIIRI enhances clinical risk stratification models for patients with acute coronary syndromes.

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