Elevated ApoB/apoA-1 is Associated with in-Hospital Mortality in Elderly Patients with Acute Myocardial Infarction

Yan Chen1, Shengyue Chen1, Yuanyuan Han1

  • 1Department of Cardiology, The Second Hospital of Dalian Medical University, Dalian, People's Republic of China.

Insights

The apolipoprotein B/apolipoprotein A-1 (apoB/apoA-1) ratio is linked to in-hospital death risk in elderly acute myocardial infarction (AMI) patients. This ratio shows predictive value and a dose-response relationship for mortality in this vulnerable group.

Area of Science:

  • Cardiology
  • Biomarkers
  • Geriatric Medicine

Background:

  • The apolipoprotein B/apolipoprotein A-1 (apoB/apoA-1) ratio is a known cardiovascular disease risk marker.
  • Its association with in-hospital mortality in elderly patients with acute myocardial infarction (AMI) remains unclear.

Purpose of the Study:

  • To investigate the relationship between the apoB/apoA-1 ratio and in-hospital death risk in elderly AMI patients.
  • To assess the predictive capability of the apoB/apoA-1 ratio for in-hospital mortality.

Main Methods:

  • A cohort of 1495 elderly AMI patients (≥ 60 years) was studied from December 2015 to December 2021.
  • Multivariate logistic regression and restricted spline cubic (RCS) models analyzed the association with in-hospital mortality.
  • Receiver operating characteristic (ROC) curves evaluated the predictive value of the apoB/apoA-1 ratio.

Main Results:

  • A total of 128 patients (8.6%) died during hospitalization.
  • Higher apoB/apoA-1 ratios were observed in non-survivors compared to survivors (P < 0.05).
  • The apoB/apoA-1 ratio was significantly associated with in-hospital death risk (OR = 3.524, P = 0.001) and showed predictive value (AUC = 0.572, P = 0.011).

Conclusions:

  • The apoB/apoA-1 ratio is a significant predictor of in-hospital mortality in elderly AMI patients.
  • This lipid ratio demonstrates a linear dose-response relationship with in-hospital death.
  • The apoB/apoA-1 ratio appears superior to other lipid parameters for predicting mortality in this population.
Abstract

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