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Prognostic value of lipid variability for recurrence and mortality in elderly patients with acute ischemic

Changchun Zhu1, Xiaole Pan1, Ran Xie1

  • 1Department of Neurology, The Third People's Hospital of Hefei (The Third Clinical College of Anhui Medical University) Hefei 230022, Anhui, China.

American Journal of Translational Research
|July 17, 2025
PubMed

Insights

Lipid variability, including LDL-C, HDL-C, TC, and TG, is a significant predictor of recurrence and mortality in elderly patients with ischemic cerebrovascular disease (ICD). Monitoring lipid fluctuations can improve prognostic assessments.

Area of Science:

  • Cardiology
  • Neurology
  • Geriatrics

Background:

  • Ischemic cerebrovascular disease (ICD) poses a significant risk to elderly populations.
  • Lipid profiles are crucial in managing cardiovascular health.
  • Understanding factors influencing recurrence and mortality in elderly ICD patients is vital.

Purpose of the Study:

  • To examine the association between lipid variability and the risk of recurrence and mortality in elderly patients experiencing acute ischemic cerebrovascular disease.
  • To determine if lipid variability serves as an independent risk factor for adverse outcomes in this demographic.

Main Methods:

  • Retrospective analysis of clinical data and lipid profiles from 149 elderly ICD patients with at least three non-baseline lipid measurements.
  • Assessment of lipid variability using standard deviation (SD), coefficient of variation (CV), and variability independent of the mean (VIM) for LDL-C, HDL-C, TC, and TG.
  • Logistic regression and ROC curve analyses to identify risk factors and predictive value of lipid variability.

Main Results:

  • Significantly higher variabilities in LDL-C, HDL-C, TC, and TG were observed in patients who experienced recurrence or death compared to those without recurrence.
  • Lipid variability indices were identified as independent risk factors for both recurrence and mortality.
  • ROC analysis confirmed the predictive capability of lipid variability in assessing outcomes.

Conclusions:

  • Lipid variability in LDL-C, HDL-C, TC, and TG are established independent risk factors for recurrence and mortality in elderly ICD patients.
  • Integrating lipid variability into assessments can enhance diagnostic accuracy.
  • This approach may lead to improved prognostic evaluations for elderly individuals with ICD.
Abstract

Keywords:
Lipid variabilityendpoint eventsischemic cerebrovascular diseasepredictive value

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