Predictors of effective complex physiotherapy in patients with skin involution

Close metadata

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.

LLC «Love Clinic»

ORCID: 0009-0001-3272-2521

Mikhailova A.A.

Petrovsky National Research Centre of Surgery

ORCID: 0000-0002-4260-1619

Frolkov V.K.

Petrovsky National Research Centre of Surgery

ORCID: 0000-0002-1277-5183

Received:

31.05.2023

Accepted:

20.09.2023

List of references:

Bobrovnitsky IP, Vasilenko AM. Principles of personalization and predictability in regenerative medicine. Vestnik vosstanovitel`noj mediciny`. 2013;1:2-6. (In Russ.).
Ilyin MV, Frolkov VK, Nagornev SN, Puzyreva GA, Konchugova TV, Rygina KV. Predictors of the effectiveness of physiotherapeutic treatment of scar changes in the skin. Kurortnaya medicina. 2014;2:32-37. (In Russ.).
Kulish AV, Frolkov VK, Nagornev SN. Predictors of the effectiveness of transcranial magnetotherapy. Rossijskij zhurnal vosstanovitel`noj mediciny`. 2016;4:55-59. (In Russ.).
Livshits VI, Nagornev SN, Frolkov VK, Puzyreva GA. Predictive approach and prognostic criteria for evaluating the effectiveness of complex physiotherapeutic treatment of postprosthetic inflammatory complications in dental implantation. Sistemny`j analiz i upravlenie v biomedicinskix issledovaniyax. 2022;21(1):77-85. (In Russ.).
Lutskaya IK. System approach to solving scientific problems in biology and medicine. Medicinskie novosti. 2013;5:25-27. (In Russ.).
Edelev DA, Bobrovniczkij IP, Mixajlenko LV, Frolkov V.K. Primenenie fizicheskix i prirodny`x faktorov v vosstanovitel`noj korrekcii funkcional`ny`x rezervov cheloveka. Monografiya. M.: BINOM; 2009. (In Russ.).
Frolkov VK, Bobrovniczkij IP, Nagornev SN. Okruzhayushhaya sreda i obshhestvennoe zdorov`e: nauchny`e osnovy` pit`evogo primeneniya mineral`ny`x vod v vosstanovitel`noj i e`kologicheskoj medicine. M.: Medicinskoe informacionnoe agentstvo; 2021. (In Russ.).
Sharashova EE, Kholmatova KK, Gorbatova MA, Grzybovsky AM. Application of multiple linear regression analysis in public health using the package of statistical programs SPSS. Nauka i zdravooxranenie. 2017;3:5-31. (In Russ.).
Dirsh AV, Faustova EE, Avdoshenko KE. Vozrastny`e izmeneniya kozhi. Aktual`ny`e voprosy` plasticheskoj, e`steticheskoj xirurgii i dermatokosmetologii. Sbornik nauchny`x trudov. M.: 2004: 123-129. (In Russ.).
Deev AI. Features of human skin aging. Cosmetika i medicina. 2007;4:26-36. (In Russ.).
Omurzakova AT, Izranov VA. Age-related changes in facial skin (literature review and results of own research). Vestnik novy`x medicinskix texnologij. 2020;27(1):105-109. (In Russ.).
Aging and the Skin. Balin AK, Kligman AM, eds. New York: Raven Press; 1989.
Slominski A, Wortsman J. Neuroendocrinology of the skin. Endocrine Reviews. 2000;21(5):457-487. https://doi.org/10.1210/edrv.21.5.0410
Makrantonaki E, Zouboulis CC. William J. Characteristics and pathomechanisms of endogenously aged skin. Dermatology. 2007;214(4):352-360. https://doi.org/10.1159/000100890
Tobin D.J. Introduction to skin aging. Journal of Tissue Viability. 2017;26(1):37-46. https://doi.org/10.1016/j.jtv.2016.03.002
Bakalets NF, Poroshina LA. Metabolic syndrome as a risk factor for skin pathology. Problemy` zdorov`ya i e`kologii. 2018; 4:9-15. (In Russ.).
Taganov AV, Tikhomirov TA, Rozhdestvenskaya OA, Zaslavsky DV, Tamrazova OB, Gureeva MA. Obesity and its role in the pathogenesis of skin diseases. E`ndokrinologiya: novosti, mneniya, obuchenie. 2021;10(4):52-61. (In Russ.).
Danilov AA, Mikhailova AA, Edelev DA. Metabolic syndrome and involutional skin changes — prerequisites for the development of complex physical therapy (part II). Rossijskij zhurnal e`kologicheskoj i reabilitacionnoj mediciny`. 2023;4:40-47. (In Russ.).
Fizicheskaya i reabilitacionnaya medicina: Nacional`noe rukovodstvo. 2-e izdanie, pererabotannoe i dopolnennoe. M.: GE`OTAR-Media; 2023. (In Russ.).
Bezopasnost` zhiznedeyatel`nosti: Uchebnik. M.: OOO Izdatel`skaya gruppa «GE`OTAR-Media»; 2017. (In Russ.).
Kruglova LS, Kolcheva PA, Korchazhkina NB. Review of modern methods for correcting post-acne scars. Vestnik novy`x medicinskix texnologij. 2018;25(4):155-163. (In Russ.).
Svidetel`stvo o gosudarstvennoj registracii bazy` danny`x № 2022622436. Rossijskaya Federaciya. Baza danny`x nauchny`x issledovanij po primeneniyu foto- i lazeroterapii pri lechenii posleoperacionny`x rubczov: № 2022622380: zayavl. 29.09.2022: opubl. 06.10.2022. Kotenko KV, Korchazhkina NB, Eremin II i dr. Zayavitel` Federal`noe gosudarstvennoe byudzhetnoe nauchnoe uchrezhdenie «Rossijskij nauchny`j centr xirurgii imeni akademika B.V. Petrovskogo». (In Russ.).
Gavrilov VB, Gavrilova AR, Majul LM. Analysis of methods of determination of POL products in serum by the test with TBC. Voprosy` medicinskoj ximii. 1987;1:118-122. (In Russ.).
Kostyuk VA, Potapovich AI, Kovaleva JI. Simple and sensitive method of determination of superoxide dismutase based on the reaction of quercitin oxidation. Voprosy` medicinskoj ximii. 1990; 2:88-91. (In Russ.).
Korolyuk MA, Ivanova LI, Mayorova IG, Tokarev VE. Method for determining the activity of catalase. Klinicheskaya laboratornaya diagnostika. 1988;1:16-19. (In Russ.).
Shpitonkov MI. Application of correlation adaptometry methodology in sports and biomedical research. Komp`yuterny`e issledovaniya i modelirovanie. 2017; 9(2):345-354. (In Russ.).
RazzhevaykinVN, Shpitonkov MI. Correlation adaptometry. Models and applications to biomedical systems. Matematicheskoe modelirovanie. 2008;20(8):13-27. (In Russ.).
Medicinskaya reabilitaciya. Uchebnik. Pod red. AV Epifanova, EE Achkasova, VA Epifanova. M.: GE`OTAR-Media; 2022. (In Russ.).

Close metadata