Estimating the functional age of the cardiorespiratory system

  • Anatoly Pisaruk D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
  • Valerii Shatilo D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
  • Ivanna Antoniuk-Shcheglova D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
  • Valentina Chyzhova D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
  • Ludmila Mekhova D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
  • Svitlana Naskalova D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
  • Natalya Koshel D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
  • Stefan Ivanov D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev
Keywords: functional age; cardiorespiratory system

Abstract

Abstract 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.

Author Biographies

Anatoly Pisaruk, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

DSc (Medicine), Head of the Laboratory for Mathematical Modeling of Aging Processes

Valerii Shatilo, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

DSc (Medicine), Prof., Head of the Department of Clinical Physiology and Pathology of Internal Organs, Deputy Director for Research

Ivanna Antoniuk-Shcheglova , D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

DSc (Medicine), Leading Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

Valentina Chyzhova, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

DSc (Medicine), Leading Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

Ludmila Mekhova, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

PhD  (Medicine),  Senior  Researcher  of  the  Laboratory  for  Mathematical  Modeling  of  Aging  Processes

Svitlana Naskalova, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

PhD (Medicine), Senior Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

Natalya Koshel , D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

PhD (Biology), Researcher of the Laboratory for Mathematical Modeling of Aging Processes;

Stefan Ivanov, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine, Kiev

Senior  Researcher  of  the  Laboratory  for  Mathematical  Modeling of  Aging  Processes

References

Murabito, J.M.; Zhao, Q.; Larson, M.G.; Rong, J.; Lin, H.; Benjamin, E.J. et al. Measures of biologic age in a community sample predict mortality and age-related disease: the framingham offspring study. J Gerontol Ser A Biol Sci Med Sci 2018, 73, 757–762. https://doi.org/10.1093/gerona/glx144

Jia, L.; Zhang, W.; Chen, X. Common methods of biological age estimation. Clin Interv Aging 2017, 12, 759–772. https://doi.org/10.2147/CIA.S134921.

Mamoshina, P.; Kochetov, K.; Putin, E.; Cortese, F.; Aliper, A.; Lee, W.S. et al. Population specific biomarkers of human aging: a big data study using South Korean, Canadian and Eastern European patient populations. J Gerontol Ser A 2018, 1, 1–9 https://doi.org/10.1093/gerona/gly005

Sebastian,i P.; Thyagarajan, B.; Sun, F.; Schupf, N.; Newman, A.B.; Montano, M. et al. Biomarker signatures of aging. Aging Cell 2017, 16, 329–338. https://doi.org/10.1111/acel.12557

Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical Statement / B. Graham, I. Steenbruggen, M. R. Miller et al. // Am J Respir Crit Care Med. 2019, 200, 8, 70–88. https://doi.org/10.1164/rccm.201908-1590ST

Tsuji, H.; Venditti, F.J.; Jr, Manders, E.S.; Evans, J.C.; Larson M.G.; Feldman, C.L.; Levy, D. Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study. Circulation 1994, 90, 878-83. https://doi.org/10.1161/01.cir.90.2.878.

Park, S.B.; Lee, B.C.; Jeong, K.S. Standardized tests of heart rate variability for autonomic function tests in healthy Koreans. Int J Neurosci 2007, 117, 1707-1717. https://doi.org/10.1080/00207450601050097.

Tsuji, H.; Venditti, F.J.; Jr, Manders, E.S.; Evans, J.C.; Larson, M.G.; Feldman, C.L.; Levy, D. Determinants of heart rate variability. J Am Coll Cardiol 1996, 28, 1539-1546. https://doi.org/10.1016/s0735-1097(96)00342-7.

Agelink, M.W.; Malessa, R.; Baumann, B.; Majewski, T.; Akila, F.; Zeit, T.; Ziegler, D. Standardized tests of heart rate variability: normal ranges obtained from 309 healthy humans, and effects of age, gender, and heart rate. Clin Auton Res 2001, 11, 99-108. https://doi.org/10.1007/BF02322053.

Kuch, B.; Hense, H.W.; Sinnreich, R.; Kark, J.D.; von Eckardstein, A.; Sapoznikov, D.; Bolte, H.D. Determinants of short-period heart rate variability in the general population. Cardiology 2001, 95, 131-138. https://doi.org/10.1159/000047359.

Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability. Stadards of measurement, physiological interpretation, and clinical use. Eur Heart J 1996, 17, 354-81.

Malaya, L.T.; Miklyaev, I. Yu.; Кравчун P. G. Microcirculation in cardiology. High school: Kharkiv, 1977, p. 232 (in Russian)

Pisaruk, A., Mekhova, L., Antoniuk-Shcheglova, I., Pisaruk, L., Koshel, N., & Ivanov, S. Estimating biological age of the autonomic regulation cardio-vascular system. Ageing and Longevity 2022, 3, 1, 1-7. https://doi.org/10.47855/jal9020-2022-1

Published
2022-05-04
How to Cite
Pisaruk, A., Shatilo, V., Antoniuk-Shcheglova , I., Chyzhova, V., Mekhova, L., Naskalova, S., Koshel , N., & Ivanov, S. (2022). Estimating the functional age of the cardiorespiratory system . Ageing and Longevity, 3(2), 41-47. Retrieved from http://aging-longevity.org.ua/index.php/journal-description/article/view/51
Section
Статьи

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