Leukocyte Count Is Better than LDL-C as Predictor of Novel Carotid Atherosclerosis

Yan Li1, Han Cao2, Lei Ding1

  • 1Department of Health Management, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.

Biomedicines
|August 28, 2025
PubMed

Insights

Elevated leukocyte count and LDL-C levels are early indicators of carotid atherosclerosis (CAS) development in middle-aged adults. These markers can predict CAS within a year, with leukocyte count showing a stronger association than LDL-C.

Area of Science:

  • Cardiovascular Medicine
  • Internal Medicine
  • Clinical Research

Background:

  • Carotid atherosclerosis (CAS) is a significant health concern in middle-aged adults.
  • Identifying early risk factors for CAS is crucial for timely intervention.
  • Fatty liver disease (FLD) is a common comorbidity that may influence CAS development.

Purpose of the Study:

  • To identify risk factors for the initial development of carotid atherosclerosis (CAS) in middle-aged adults.
  • To establish predictive cutoff values for early CAS detection.
  • To investigate the association between leukocyte count, LDL-C, and CAS development.

Main Methods:

  • Retrospective cohort study of 1141 middle-aged adults.
  • Comparison of subjects who developed CAS with a control group free of CAS and FLD.
  • Statistical analyses including logistic regression, COX regression, and ROC curve analysis.

Main Results:

  • Elevated leukocyte count (AUC: 0.622) and LDL-C (AUC: 0.600) were significantly associated with CAS development.
  • Optimal predictive thresholds were identified as leukocyte count >5.00 × 10^9/L and LDL-C >125.1 mg/dL.
  • Leukocyte count demonstrated a slightly stronger correlation with arteriosclerosis progression than LDL-C.

Conclusions:

  • Leukocyte count and LDL-C serve as early warning indicators for CAS development within approximately one year.
  • These biomarkers can aid in the early identification and management of carotid atherosclerosis.
  • Further research may explore the combined predictive value of these markers.

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