Cardiovascular risk assessment tools for optimizing pregravid preparation: the results of the study on working women of reproductive age

Salov I.A., Malinova L.I., Tolstov S.N., Zhuk A.A., Denisova T.P.

Saratov State Medical University named after V.I. Razumovsky, Ministry of Health of Russia, Saratov Russia

Objective: To assess the possibilities of cardiovascular risk assessment tools for optimizing pregravid preparation of working women of reproductive age.
Materials and methods: A comprehensive analysis of employees at three commercial and manufacturing enterprises was conducted. The study included women with normal menstrual function planning pregnancy or who did not exclude the probability of getting pregnant within the next year. Age group classification adjusted for the study sample was used: Group 1 (peak fertility), Group 2 (reduced fertility), and Group 3 (perimenopause). The 10-year risk of fatal cardiovascular events (CVEs), total cardiovascular risk (TCR), and the parameters of cardiovascular health were assessed.
Results: The highest scores of total cardiovascular risk and the risk of fatal cardiovascular events were in perimenopause group – 1/20 (0/87; 2.01)% and 0.30 (0.22; 0.50)%, respectively, p=0.000. The highest cardiovascular health score was in the group of peak fertility – 575 (525; 600) (р=0.025, and had an inverse correlation with gestational hypertension in history (τ=-0.352; p=0.011), which, in turn, was distinguished by the highest population attributable risk of arterial hypertension (23.55%, p=0.002).
Conclusion: In the sample of working women of reproductive age, who were planning pregnancy or did not exclude the probability of getting pregnant, routine use of traditional cardiovascular risk assessment tools is not advisable. Integral assessment of cardiovascular health is associated with age-related fertility and can be used for risk stratification of hypertensive disorders at the stage of pregravid preparation.

Authors' contributions: Salov I.A., Malinova L.I., Tolstov S.N., Denisova T.P. – the concept and design of the study; Zhuk A.A., Malinova L.I. – material collection and processing; Malinova L.I., Denisova T.P. – statistical data processing, Malinova L.I., Tolstov S.N., Denisova T.P. – analysis and interpretation of the results. Malinova L.I., Zhuk A.A. – article writing; Salov I.A., Malinova L.I., Tolstov S.N., Denisova T.P. – article editing.
Conflicts of interest: The authors confirm that they have no conflicts of interest to declare.
Funding: The study was conducted in the frames of research initiative. 
Ethical Approval: The study was approved by the local Ethics Committee of Saratov State Medical University named 
after V.I. Razumovsky, Ministry of Health of Russia.
Patient Consent for Publication: The patients have signed informed consent for publication of their data.  
Authors' Data Sharing Statement: The data supporting the findings of this study are available on request from the corresponding author after approval from the principal investigator.
For citation: Salov I.A., Malinova L.I., Tolstov S.N., Zhuk A.A., Denisova T.P. Cardiovascular risk assessment tools for optimizing pregravid preparation: the results of the study on working women of reproductive age.
Akusherstvo i Gynecologia/Obstetrics and Gynecology. 2024; 11: 155-161 (in Russian)
https://dx.doi.org/10.18565/aig.2024.230

Keywords

cardio-obstetrics
pregravid preparation
risk assessment tools
arterial hypertension

References

  1. Филиппов О.С., Гусева Е.В. Материнская смертность в Российской Федерации в 2019 г. Проблемы репродукции. 2020; 26(6): 8-26.. [Filippov O.S., Guseva E.V. Maternal mortality in the Russian Federation in 2019. Russian Journal of Human Reproduction. 2020; 26(6‑2): 8‑26.(in Russian)]. https://dx.doi.org/10.17116/repro2020260628.
  2. Davis M.B., Arendt K., Bello N.A., Brown H., Briller J., Epps K. et al. Team-Based Care of Women With Cardiovascular Disease From Pre-Conception Through Pregnancy and Postpartum: JACC Focus Seminar 1/5. J. Am. Coll. Cardiol. 2021; 77(14): 1763-77. https://dx.doi.org/10.1016/j.jacc.2021.02.033.
  3. Междисциплинарная ассоциация специалистов репродуктивной медицины (МАРС). Прегравидарная подготовка. Клинический протокол. Версия 3.1. М.: Редакция журнала StatusPraesens; 2024. 124 с. [Interdisciplinary Association of Reproductive Medicine Specialists (MARS). Pregravid preparation. Clinical protocol. Version 3.1. Moscow: Editorial office of the StatusPraesens Journal; 2024. 124 p. (in Russian)].
  4. American College of Gynecologists Committee on Gynecologic Practice. Female age-related fertility decline. Committee Opinion No. 589. Fertil. Steril. 2014; 101(3): 633-4. Epub 2014/02/25. https://dx.doi.org/10.1016/j.fertnstert.2013.12.032.
  5. Badawy M.A.E.M.D., Naing L., Johar S., Ong S., Rahman H.A., Tengah D.S.N.A.P. et al. Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review. BMC Public Health. 2022; 22(1): 1742. https://dx.doi.org/10.1186/s12889-022-13944-w.
  6. Калинина А.М., Шальнова С.А., Гамбарян М.Г., Еганян Р.А., Муромцева Г.А., Бочкарева Е.В., Ким И.В. Эпидемиологические методы выявления основных хронических неинфекционных заболеваний и факторов риска при массовых обследованиях населения. Методическое пособие. Бойцов С.А., ред. М.; 2015. 96 c. [Kalinina A.M., Shalnova S.A., Gambaryan M.G., Eganyan R.A., , Muromtseva G.A., Bochkareva E.V., Kim I.V. Epidemiological methods for identifying major chronic non-communicable diseases and risk factors during mass population surveys. Boytsov S.A, ed. Moscow; 2015. 96 p. (in Russian)].
  7. Miller W.G., Kaufman H.W., Levey A.S., Straseski J.A., Wilhelms K.W., Yu H.E. et al. National Kidney Foundation Laboratory Engagement Working Group Recommendations for Implementing the CKD-EPI 2021 Race-Free Equations for Estimated Glomerular Filtration Rate: Practical Guidance for Clinical Laboratories. Clin Chem. 2022 ;68(4): 511-20. https://dx.doi.org/10.1093/clinchem/hvab278.
  8. Малинова Л.И., Долотовская П.В., Фурман Н.В., Толстов С.Н., Клочков В.А., Денисова Т.П. Оценка метаболического бремени в свете концепции сосудистого старения при артериальной гипертензии (исследование трудоспособного населения крупного промышленного центра). Артериальная гипертензия. 2023; 29(1): 24-37. [Malinova L.I., Dolotovskaya P.V., Furman N.V., Tolstov S.N., Klochkov V.A., Denisova T.P. Estimation of metabolic burden within the concept of vascular ageing in hypertension(a study of the able-bodied population of a large industrial center). "Arterial’naya Gipertenziya" ("Arterial Hypertension"). 2023; 29(1): 24-37. (in Russian)]. https://dx.doi.org/10.18705/1607-419X-2023-29-1-24-37.
  9. Lloyd-Jones D.M., Allen N.B., Anderson C.A.M., Black T., Brewer L.C., Foraker R.E. et al. Life’s Essential 8: Updating and Enhancing the American Heart Association’s Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association. Circulation. 2022; 146(5): e18-e43. https://dx.doi.org/10.1161/CIR.0000000000001078.
  10. Silversides C.K., Grewal J., Mason J., Sermer M., Kiess M., Rychel V. et al. Pregnancy outcomes in women with heart disease: The CARPREG II Study. J. Am. Coll. Cardiol. 2018; 71(21): 2419-30. https://dx.doi.org/10.1016/j.jacc.2018.02.076.
  11. Lu C.W., Shih J.C., Chen S.Y., Chiu H.H., Wang J.K., Chen C.A. et al. Comparison of 3 risk estimation methods for predicting cardiac outcomes in pregnant women with congenital heart disease. Circ. J. 2015; 79(7): 1609-17. https://dx.doi.org/10.1253/circj.CJ-14-1368.
  12. Egeland G.M., Klungsoyr K., Oyen N., Tell G.S., Naess O., Skjaerven R. Preconception cardiovascular risk factor differences between gestational hypertension and preeclampsia: cohort norway study. Hypertension. 2016; 67(6): 1173-80. https://dx.doi.org/10.1161/HYPERTENSIONAHA.116.07099.
  13. Khan S.S., Brewer L.C., Canobbio M.M., Cipolla M.J., Grobman W.A., Lewey J. et al. Optimizing prepregnancy cardiovascular health to improve outcomes in pregnant and postpartum individuals and offspring: A Scientific Statement from the American Heart Association. Circulation. 2023;147(7): e76-e91. https://dx.doi.org/10.1161/CIR.0000000000001124.

Received 13.09.2024

Accepted 28.10.2024

About the Authors

Igor A. Salov, Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia, https://orcid.org/0000-0002-1926-5418
Lidia I. Malinova, Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia, lidia.malinova@yandex.ru, https://orcid.org/0000-0002-0951-9314
Sergey N. Tolstov, Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia, https://orcid.org/0000-0002-4546-9449
Alena A. Zhuk, Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia, https://orcid.org/0000-0002-5236-0871
Tatyana P. Denisova, Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia; https://orcid.org/0000-0003-4931-0969
Corresponding author: Lidia I. Malinova, lidia.malinova@yandex.ru

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