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Updated: May 12, 2026

Quantitative Analysis and Characterization of Atherosclerotic Lesions in the Murine Aortic Sinus
06:43

Quantitative Analysis and Characterization of Atherosclerotic Lesions in the Murine Aortic Sinus

Published on: December 7, 2013

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Relationship between glycolipid metabolism and aortic dissection in a hypertensive population: an early diagnostic

Yong Lin1,2,3, Yi-Ting Huang4, Shao-Sheng Wu5

  • 1Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.

International Journal of Surgery (London, England)
|August 27, 2025
PubMed

Insights

This study developed a predictive model for acute type A aortic dissection in hypertensive patients using demographic factors and lipid levels. The model shows good predictive value, aiding in early diagnosis for this high-risk population.

Area of Science:

  • Cardiovascular Medicine
  • Metabolic Disorders
  • Diagnostic Modeling

Background:

  • The link between glycolipid metabolism and acute type A aortic dissection (aTAAD) in hypertensive patients is not well understood.
  • Hypertension is a significant risk factor for cardiovascular diseases, including aortic dissection.

Purpose of the Study:

  • To establish and validate an early diagnostic model for acute type A aortic dissection in hypertensive individuals.
  • To identify key demographic and glycolipid metabolic factors associated with aTAAD in this population.

Main Methods:

  • A retrospective multi-center study involving hypertensive patients over five years.
  • Development of a diagnostic model using demographic and glycolipid data, with internal training and external validation.
  • Receiver operating characteristic (ROC) analysis and decision curve analysis were used to assess model efficacy.

Main Results:

  • Key risk factors identified include younger age, higher BMI, male sex, absence of diabetes, lower total cholesterol, and higher lipoprotein(a).
  • The model achieved good predictive performance with ROC values of 0.789 (training) and 0.744 (validation).
  • Decision curve analysis indicated the model's clinical utility across a range of threshold probabilities.

Conclusions:

  • A predictive model integrating demographic characteristics and serum lipid profiles demonstrates good predictive value for acute type A aortic dissection in hypertensive patients.
  • This model can aid in the early identification of individuals at high risk for aTAAD, facilitating timely intervention.
Abstract

Keywords:
aortic dissectionearly diagnosismetabolic diseases

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