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Development and validation of cardiometabolic risk predictive models based on LDL oxidation and candidate geromarkers from the MARK-AGE data

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2024

Autor:innen

Valeanu, Andrei
Margina, Denisa
Weber, Daniela
Stuetz, Wolfgang
Dollé, Martijn E.T.
Jansen, Eugène HJM
Gonos, Efstathios S.
Bernhardt, Jürgen
et al.

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European Union (EU): 200880

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Mechanisms of Ageing and Development. Elsevier. 2024, 222, 111987. ISSN 0047-6374. eISSN 1872-6216. Verfügbar unter: doi: 10.1016/j.mad.2024.111987

Zusammenfassung

The predictive value of the susceptibility to oxidation of LDL particles (LDLox) in cardiometabolic risk assessment is incompletely understood. The main objective of the current study was to assess its relationship with other relevant biomarkers and cardiometabolic risk factors from MARK-AGE data. A cross-sectional observational study was carried out on 1089 subjects (528 men and 561 women), aged 40–75 years old, randomly recruited age- and sex-stratified individuals from the general population. A correlation analysis exploring the relationships between LDLox and relevant biomarkers was undertaken, as well as the development and validation of several machine learning algorithms, for estimating the risk of the combined status of high blood pressure and obesity for the MARK-AGE subjects. The machine learning models yielded Area Under the Receiver Operating Characteristic Curve Score ranging 0.783–0.839 for the internal validation, while the external validation resulted in an Under the Receiver Operating Characteristic Curve Score between 0.648 and 0.787, with the variables based on LDLox reaching significant importance within the obtained predictions. The current study offers novel insights regarding the combined effects of LDL oxidation and other ageing markers on cardiometabolic risk. Future studies might be extended on larger patient cohorts, in order to obtain reproducible clinical assessment models.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

LDL oxidation, MARK-AGE, Vascular ageing, Cardiometabolic risk, Machine learning

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ISO 690VALEANU, Andrei, Denisa MARGINA, Daniela WEBER, Wolfgang STUETZ, Maria MORENO-VILLANUEVA, Martijn E.T. DOLLÉ, Eugène HJM JANSEN, Efstathios S. GONOS, Jürgen BERNHARDT, Alexander BÜRKLE, 2024. Development and validation of cardiometabolic risk predictive models based on LDL oxidation and candidate geromarkers from the MARK-AGE data. In: Mechanisms of Ageing and Development. Elsevier. 2024, 222, 111987. ISSN 0047-6374. eISSN 1872-6216. Verfügbar unter: doi: 10.1016/j.mad.2024.111987
BibTex
@article{Valeanu2024-12Devel-70925,
  year={2024},
  doi={10.1016/j.mad.2024.111987},
  title={Development and validation of cardiometabolic risk predictive models based on LDL oxidation and candidate geromarkers from the MARK-AGE data},
  volume={222},
  issn={0047-6374},
  journal={Mechanisms of Ageing and Development},
  author={Valeanu, Andrei and Margina, Denisa and Weber, Daniela and Stuetz, Wolfgang and Moreno-Villanueva, Maria and Dollé, Martijn E.T. and Jansen, Eugène HJM and Gonos, Efstathios S. and Bernhardt, Jürgen and Bürkle, Alexander},
  note={Article Number: 111987}
}
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