Somatometric characteristics of patients with Wolff-Parkinson-White syndrome
https://doi.org/10.15829/1560-4071-2024-6097
EDN: ODDQXQ
Abstract
Aim. To study the distribution of somatometric indicators and indices of patients with Wolff-Parkinson-White (WPW) syndrome.
Material and methods. All patients underwent following clinical and paraclinical investigations: electrocardiography (ECG), Holter ECG monitoring, echocardiography. In addition, we performed somatometric study according to the standard method of V.V. Bunak. The main group consisted of 200 patients with WPW syndrome (men, n=97 (32,6±9,4 years); women, n=103 (47,92±11,6 years)).
Results. Anthropometry performed according to James Tanner revealed that in the general group of WPW syndrome individuals, mesomorphs prevailed (57%). A similar pattern was observed both in the groups of women (25,5%) and men (31,5%). According to the Rees-Eysenck index, the general group of WPW syndrome individuals, normosthenics (37%) and pyknics (38%) prevailed. However, in the group of women, normosthenics prevailed (24%), and in the group of men, pyknics (23,5%). The relationship analysis using Pearson's chi-squared test revealed the following: in the group of women, the WPW syndrome was moderately correlated with the thigh fat fold (0,52), and in the group of men — with the abdominal fat fold (0,56).
Conclusion. Somatometric study, taking into account the indices (J. Tanner, Rees-Eysenck), confirms the relationship between the risk of cardiovascular diseases and overweight. This can be useful for taking preventive measures in relation to groups of people with certain anthropometric features, when assessing the risk of arrhythmias within the concept of personalized medicine.
About the Authors
Yu. A. TolstokorovaRussian Federation
Krasnoyarsk
Competing Interests:
None
S. Yu. Nikulina
Russian Federation
Krasnoyarsk
Competing Interests:
None
A. A. Chernova
Russian Federation
Krasnoyarsk
Competing Interests:
None
References
1. Tolstokorova YА, Nikulina SYu, Chernova AA. Clinical, electrophysiological, molecular genetic characteristics of patients with Wolf-Parkinson-White syndrome: literature review. CardioСоматика. 2023;(1):59-66. (In Russ.) doi:10.17816/CS134114.
2. Bokeria LA, Pronicheva IV. The modern status of the genetic validity of arrhythmias. Annals of Arrhythmology. 2018;15:142-56. (In Russ.) doi:10.15275/annaritmol.2018.3.2.
3. Ayabakan C, Sahin M, Celiker A. Radiofrequency catheter ablation of left-sided accessory pathways via retrograde aortic approach in children. J. Arrhythm. 2016;32:176-80. doi:10.1016/j.joa.2015.12.007.
4. Roden DM, Pulley JM, Basford MA, et al. Development of a large-scale de-identified DNA biobank to enable personalized medicine. Clinical Pharmacology &Therapeutics. 2008;84:362-9. doi:10.1038/clpt.2008.89.
5. Fowler SJ, Napolitano С, Priori SG. When is genetic testing useful in patients suspected to have inherited cardiac arrhythmias? Current Opinion in Cardiology. 2010;25:37-45. doi:10.1097/HCO.0b013e3283335901.
6. Ardashev VN, Steklov VI. Treatment of cardiac arrhythmias. M.: Medpraktika-M, 2005, p. 240. (In Russ.) ISBN: 5-901654-80-3.
7. Baranov VS, Baranova EV, Ivashchenko TE, et al. The human genome and the genes of "predisposition": (Introduction. in the predictive. medicine). St. Petersburg: Intermedica, 2000, p. 270. (In Russ.). ISBN: 5-89720-030-0.
8. Lopatina LA, Seryozhenko NP, Anokhina J. Anthropometric characteristics of girls according to the classification of J. Tanner's. Fundamental research. 2013;12:504-8. (In Russ.)
9. Romanenko AA. The use of the W. L. Rees — N. J. Eysenck index in assessing the physical status of adolescent men. Fundamental Research. 2015;1:1671-5. (In Russ.)
10. Alekseeva VA, Guryeva AB. Somatometric data on the citizenship of a Yakut man according to the Ris-Aizenku Index. Siberian Journal of Natural Sciences and Agriculture. 2022;14:91-103. (In Russ.) doi:10.12731/2658-6649-2022-14-2-91-103.
Supplementary files
What is already known about the subject?
- In addition to genetic predictors for Wolff-Parkinson-White syndrome (WPW), phenotypic features can also be identified, which in combination with each other will provide more complete information for the prevention of arrhythmias.
What might this study add?
- Based on the somatometric study, certain somatotypes were identified that may be associated with the risk of WPW syndrome.
How might this impact on clinical practice?
- Somatometric study can be useful for taking preventive measures, developing guidelines, and planned observations of special groups of people with certain anthropometric features, which may allow for the further development of a tool for risk assessment of arrhythmias within the concept of personalized medicine.
Review
For citations:
Tolstokorova Yu.A., Nikulina S.Yu., Chernova A.A. Somatometric characteristics of patients with Wolff-Parkinson-White syndrome. Russian Journal of Cardiology. 2024;29(10):6097. (In Russ.) https://doi.org/10.15829/1560-4071-2024-6097. EDN: ODDQXQ