Literature DB >> 34209480

Management of High-Risk Atherosclerotic Patients by Statins May Be Supported by Logistic Model of Intima-Media Thickening.

Dorota Formanowicz1, Jacek B Krawczyk2, Bartłomiej Perek3, Dawid Lipski4, Andrzej Tykarski4.   

Abstract

While the use of statins in treating patients with atherosclerosis is an undisputed success, the questions regarding an optimal starting time for treatment and its strength remain open. We proposed in our earlier paper published in Int. J. Mol. Sci. (2019, 20) that the growth of intima-media thickness of the carotid artery follows an S-shape (i.e., logistic) curve. In our subsequent paper in PLoS ONE (2020, 15), we incorporated this feature into a logistic control-theoretic model of atherosclerosis progression and showed that some combinations of patient age and intima-media thickness are better suited than others to start treatment. In this study, we perform a new and comprehensive calibration of our logistic model using a recent clinical database. This allows us to propose a procedure for inferring an optimal age to start statin treatment for a particular group of patients. We argue that a decrease in the slope of the IMT logistic growth curve, induced by statin treatment, is most efficient where the curve is at its steepest, whereby the efficiency means lowering the future IMT levels. Using the procedure on an aggregate group of severely sick men, 38 years of age is observed to correlate with the steepest point of the logistic curve, and, thus, it is the preferred time to start statin treatment. We believe that detecting the logistic curve's steepest fragment and commencing statin administration on that fragment are courses of action that agree with clinician intuition and may support decision-making processes.

Entities:  

Keywords:  atherosclerosis; control-theoretic model; logistic growth; statins

Year:  2021        PMID: 34209480     DOI: 10.3390/jcm10132876

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  2 in total

1.  Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation.

Authors:  Ping Zhao; Jin Xue; Xiaomei Xu; Lifei Wang; Dan Chen
Journal:  Comput Math Methods Med       Date:  2022-05-11       Impact factor: 2.809

2.  Special Issue "The Prevention and Treatment of Atherosclerosis".

Authors:  Anna Kabłak-Ziembicka
Journal:  J Clin Med       Date:  2022-02-16       Impact factor: 4.241

  2 in total

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