A newly developed multiparametric model using cardiorespiratory indicators can accurately estimate biological age, potentially aiding in assessing the risk of age-dependent pathologies.
Supports cardiorespiratory biological age modeling in research; hypothesis-generating for clinical risk stratification of age-related disease.
Based on our data on age-related changes in indicators of blood pressure, ECG, HRV, capillaroscopy, and spirography developed a methodology for assessing the biological (functional) age cardiorespiratory system. The study included 116 apparently healthy people aged 20 to 90 years. The formula for calculating functional age was obtained by stepwise multiple regression. Multiple correlation between predicted age and chronological age is large (r = 0.891; p< 0.00001). The mean absolute value of the BA calculation error, in this case, is 6.12 ± 4.36 years. The method developed by us for assessing the functional age of the cardiorespiratory system has sufficiently high accuracy and can be used to assess the risk of developing an age-dependent pathology of the cardiorespiratory system. The implementation of the proposed method will allow not only to identify individuals at risk of developing pathology but also to evaluate the effectiveness of therapeutic, preventive, and rehabilitation measures.
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Pisaruk et al. (2022) studied this question.
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