Cardiovascular

Multidomain Biomarkers as Predictors of Cardiovascular Risk in Acute Coronary Syndrome: A Prospective Evaluation.

TL;DR

Beyond traditional risk factors, markers of coagulation (D-dimer) and autoimmunity (IgG anti-β2-glycoprotein I) are independent predictors of short-term adverse events in ACS patients.

Key Findings

MACE occurred in 51.4% of ACS patients followed for 30 days in this prospective cohort.

  • 103 patients admitted with confirmed ACS were included at a tertiary referral center in Mexico.
  • MACE was defined as reinfarction, death, percutaneous coronary intervention, or bypass surgery.
  • Follow-up duration was 30 days.
  • Blood samples were collected upon admission to measure biomarker levels.

Patients who experienced MACE were significantly older and had longer hospital stays than those without adverse outcomes.

  • The difference in age and hospital stay length between MACE and non-MACE groups was statistically significant (p < 0.05).
  • This finding was identified in a prospective cohort of 103 ACS patients.
  • Multivariate logistic regression adjusted for age, smoking, and comorbidities.

PF4 and hs-CRP demonstrated high sensitivity (98%) but low specificity as biomarkers for MACE in ACS patients.

  • Both platelet factor 4 (PF4) and high-sensitivity C-reactive protein (hs-CRP) achieved 98% sensitivity.
  • Despite high sensitivity, neither PF4 nor hs-CRP demonstrated high specificity for MACE prediction.
  • These biomarkers were measured from blood samples collected upon hospital admission.
  • Neither PF4 nor hs-CRP emerged as independent predictors in the multivariate logistic regression analysis.

IgG anti-β2-glycoprotein I was a significant independent predictor of MACE in multivariate analysis.

  • IgG anti-β2-glycoprotein I reached statistical significance in multivariate logistic regression (p < 0.001).
  • The analysis adjusted for age, smoking, and comorbidities.
  • IgG anti-β2-glycoprotein I represents an autoimmune/antiphospholipid antibody marker.
  • This finding suggests an autoimmune component to short-term cardiovascular risk in ACS.

D-dimer was a significant independent predictor of MACE in multivariate analysis.

  • D-dimer reached statistical significance in multivariate logistic regression (p = 0.024).
  • The analysis adjusted for age, smoking, and comorbidities.
  • D-dimer represents a marker of coagulation/thrombosis activity.
  • D-dimer was measured from blood samples collected upon hospital admission.

IgM isotypes of antiphospholipid antibodies did not show independent predictive value for MACE.

  • IgM anticardiolipin and IgM anti-β2-glycoprotein I did not emerge as significant independent predictors in multivariate logistic regression.
  • This contrasts with the IgG anti-β2-glycoprotein I isotype, which was a significant predictor (p < 0.001).
  • The finding suggests isotype-specific differences in the prognostic relevance of antiphospholipid antibodies in ACS.

The study evaluated a multidomain biomarker panel combining inflammatory, coagulation, and autoimmune markers in ACS patients.

  • Biomarkers measured included hs-CRP (inflammatory), PF4 (platelet/thrombotic), D-dimer (coagulation), anticardiolipin antibodies (IgG and IgM), and anti-β2-glycoprotein I antibodies (IgG and IgM).
  • The study was conducted at a tertiary referral center in Mexico.
  • The study design was a prospective cohort with 103 participants.
  • The prognostic value of combining inflammatory and autoimmune biomarkers in ACS was described as 'understudied' prior to this work.

Have a question about this study?

Citation

Gavil&#xe1;nez-Ch&#xe1;vez G, Zavala-Cerna M, Guzm&#xe1;n-Silahua S, Rodr&#xed;guez-Rivera L, Urzua-Ortega C, Cardona-Mu&#xf1;oz E, et al.. (2026). Multidomain Biomarkers as Predictors of Cardiovascular Risk in Acute Coronary Syndrome: A Prospective Evaluation.. International journal of molecular sciences. https://doi.org/10.3390/ijms27052476