Predictors of effective complex physiotherapy in patients with skin involution

Danilov A.A.; Mikhailova A.A.; Frolkov V.K.

doi:https://doi.org/10.17116/rbpdpm2024103111

Danilov A.A.

Love Clinic

ORCID: 0009-0001-3272-2521

Mikhailova A.A.

Petrovsky National Research Centre of Surgery

SPIN RSCI: 7673-3241
ORCID: 0000-0002-4260-1619

Frolkov V.K.

Petrovsky National Research Centre of Surgery

SPIN RSCI: 3183-0883
ORCID: 0000-0002-1277-5183

Predictors of effective complex physiotherapy in patients with skin involution

Authors:

Danilov A.A., Mikhailova A.A., Frolkov V.K.

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Journal: Regenerative Biotechnologies, Preventive, Digital and Predictive Medicine. 2024;1(3): 11‑17

DOI: 10.17116/rbpdpm2024103111

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To cite this article:

Danilov AA, Mikhailova AA, Frolkov VK. Predictors of effective complex physiotherapy in patients with skin involution. Regenerative Biotechnologies, Preventive, Digital and Predictive Medicine. 2024;1(3):11‑17. (In Russ.)
https://doi.org/10.17116/rbpdpm2024103111

Подписка 2026 Восстановительные биотехнологии, профилактическая, цифровая и предиктивная медицина (Regenerative Biotechnologies, Preventive, Digital and Predictive Medicine)

Использование инфографики авторами научных работ

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OBJECTIVE

To evaluate the predictors of effective complex physiotherapeutic correction of skin involution in middle-aged and older women.

MATERIAL AND METHODS

The study included 30 women with metabolic syndrome. In all patients, we analyzed the parameters characterizing skin involution. Objective parameters of facial skin (hydration, elasticity, oiliness, skin pH), microcirculation processes, as well as subjective indicators (dermatological quality of life index, visual scale of facial skin condition, international aesthetic improvement scale) were studied. Assessment of metabolic syndrome was based on insulin resistance index, body mass index, and atherogenicity coefficient. Additionally, pro- and antioxidant system and cytokine status were studied. Complex physiotherapeutic correction of facial skin involution included hyaluronic acid laser phoresis, transcranial magnetic therapy and oxygen barotherapy. To identify predictors of effectiveness, we performed statistical analysis using various options for regression analysis, matrix and multiple correlation, as well as correlation adaptometry methods.

RESULTS

Matrix correlation analysis of 23 indicators characterizing baseline status of patients revealed significant multicollinearity. Thus, we reduced the number of independent variables to five ones including transepidermal water loss, microcirculation index, oxygen consumption rate, insulin resistance index and interleukin IL-4. Standardized coefficients of multiple regression equation established the first three indicators as significant predictors of effectiveness, while metabolic disorders minimally determined the effectiveness of physiotherapeutic correction. Treatment is very effective in minimal deviations of above-mentioned variables from normal values. Multiple linear regression based on normalized indicators was the most adequate (forecast accuracy > 90%), while logistic model and piecewise regression provided significantly lower prognostic accuracy.

CONCLUSION

Physiotherapeutic technologies are effective for correction of skin involution. Different physical nature of preformed factors provides a multimodal systemic effect on pathological processes slowing down skin aging. Maximum results are possible with complex physiotherapeutic correction of various functional systems.

Keywords:

skin involution

metabolic syndrome

complex physiotherapy

regression analysis

Authors:

Danilov A.A.

Love Clinic

ORCID: 0009-0001-3272-2521

Mikhailova A.A.

Petrovsky National Research Centre of Surgery

SPIN RSCI: 7673-3241
ORCID: 0000-0002-4260-1619

Frolkov V.K.

Petrovsky National Research Centre of Surgery

SPIN RSCI: 3183-0883
ORCID: 0000-0002-1277-5183

Received:

31.05.2023

Accepted:

20.09.2023

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