Individual assessment of arteriosclerosis by empiric clinical profiling

Marcus Mutschelknauss1, Marco Kummer, Juergen Muser

  • 1University Department of Medicine, Kantonsspital Bruderholz, Bruderholz, Switzerland.

Plos One
|November 29, 2007
PubMed

Insights

Basic clinical data can accurately assess arteriosclerosis activity. A novel disease activity score shows higher accuracy than the Framingham score for identifying vulnerable patients.

Area of Science:

  • Cardiovascular Medicine
  • Clinical Diagnostics
  • Biomarker Discovery

Background:

  • Arteriosclerosis is a major cause of chronic morbidity and mortality.
  • Identifying vulnerable patients with symptomatic arteriosclerosis is crucial for improving cardiovascular event outcomes.
  • Novel biomarkers are needed to predict cardiovascular events in at-risk individuals.

Purpose of the Study:

  • To evaluate the accuracy of basic clinical data in assessing arteriosclerosis activity.
  • To develop and validate a novel disease activity score for symptomatic arteriosclerosis.
  • To compare the predictive performance of the novel score against the Framingham score.

Main Methods:

  • A cross-sectional study included 269 inpatients.
  • Clinical data, including personal history and examination findings, were collected.
  • A disease activity score was developed using 25 differentiating variables between patients with and without symptomatic arteriosclerosis.

Main Results:

  • The novel disease activity score demonstrated high accuracy (AUC 0.891) in identifying symptomatic arteriosclerosis, outperforming the Framingham score (AUC 0.684).
  • The score effectively differentiated between patients with and without cardiovascular events.
  • The disease activity score showed a more rapid deterioration in patients with symptomatic arteriosclerosis over two years.

Conclusions:

  • Empiric clinical profiling and the disease activity score are valid and accessible markers for symptomatic arteriosclerosis.
  • This approach offers a cost-effective method for assessing disease activity and patient vulnerability.
  • The findings support the use of basic clinical data for improved cardiovascular risk stratification.
Abstract

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