A New Approach toward the Management of Patients with Premature Skin Aging Using the Predictor Effect
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Subjects and Sampling
- Women;
- Age of 35–45 years;
- I-III skin phototypes (by the Fizpatrick’s Scale);
- Absence of exclusion criteria;
- Signing of informed consent to participate in the study and photo documentation.
- Men;
- Age younger than 35 and older than 45 years;
- IV–VI skin phototypes (by the Fizpatrick’s Scale);
- Pronounced photo-aging of the face;
- Carrying out a history of filler correction of wrinkles, folds and facial volumes (except lip volume correction), thread lifting and facial plastic surgery;
- Carrying out cosmetic procedures in the previous year or other cosmetic procedures during the study;
- Participation in other studies;
- Nutritional deficiencies (protein starvation, vegetarianism and others);
- Pregnancy, lactation;
- Menopause;
- Sudden weight loss (more than 5 kg) in the previous year;
- Isotretinoin intake during the previous 6 months;
- Tendency to form keloid scars;
- Blood clotting disorders;
- Oncological diseases, diabetes mellitus and thyroid diseases in the decompensation stage;
- Acute infectious, somatic diseases and neuropsychiatric disorders, HIV, hepatitis B and C;
- Chronic diseases in the decompensation stage;
- Dermatoses (dermatitis of various etiologies, eczema of various etiologies, psoriasis, etc.);
- Systemic and autoimmune diseases of connective tissue with skin and subcutaneous tissue damage (systemic lupus erythematosus, ring-shaped granuloma, discoid lupus erythematosus, scleroderma, dermatomyositis, etc.);
- Hereditary collagenopathies;
- Taking glucocorticosteroids, immunosuppressants and other drugs affecting skin reactivity;
- Hypersensitivity to the components of the studied medical products;
- Refusal to participate in this the study or implement the full protocol of this study.
2.2. Data Collection Method
2.2.1. Questionnaires
2.2.2. Skin Aging Grade
2.2.3. Morphological Features of the Skin
2.3. Blood Samples
2.4. Blind Comparative Placebo-Controlled Study of the Effectiveness of Intradermal Injections
2.5. Ethical Consideration
2.6. Statistical Methods
3. Results
3.1. Patients with Premature Aging
3.1.1. Index of Involution Changes of the Skin to Determine Premature Aging of the Skin
- Facial hyper-functional wrinkles (forehead and brow wrinkles, “crow’s feet”, lip-chin fold);
- Perioral area change (upper and lower lip wrinkles, lip volume, lip contour change (white roller));
- Age-related parameters associated with changes in the viscoelastic properties of the skin and ligamentous apparatus (other signs that are not included in the first two categories, except for age-related changes in the hands).
3.1.2. Adverse Events in Patients with Premature Skin Aging
3.1.3. Risk of Premature Aging
3.1.4. Histological Analysis of Skin Biopsies of Patients with Premature Aging
3.2. Results of the Blind, Comparative Placebo-Controlled Study of the Effectiveness of Intradermal Injections for the Treatment of Involutional Skin Changes
3.2.1. Comparative Evaluation of the Clinical Efficacy of Biorevitalization in a Group of Patients with Premature and Normal Facial Aging
- -
- In subgroup 1C in comparison with subgroup 1A and subgroup 2A (p < 0.001), as well as with subgroup 1B (p < 0.05);
- -
- In subgroup 1D in comparison with subgroup 1A, subgroup 1B and subgroup 2A (p < 0.001);
- -
- In subgroup 2B in comparison with subgroup 1A, subgroup 1B and subgroup 2A (p < 0.001).
3.2.2. Comparative Results of Ultrasound Sonography after the Use of Biorevitalization in a Group of Patients with Premature and Normal Facial Aging
3.2.3. Results of Histological Examination
3.2.4. Results of Polarization Microscopy
3.2.5. Results of the Assessment of the Psycho-Emotional Status
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Ganceviciene, R.; Liakou, A.I.; Theodoridis, A.; Makrantonaki, E.; Zouboulis, C.C. Skin anti-aging strategies. Derm. Endocrinol. 2012, 4, 308–319. [Google Scholar] [CrossRef] [Green Version]
- Humphrey, S.; Manson, B.S.; Cross, S.J.; Mehta, R. Defining skin quality: Clinical relevance, terminology, and assessment. Dermatol. Surg. 2021, 47, 974–981. [Google Scholar] [CrossRef] [PubMed]
- Farage, M.A.; Miller, K.W.; Elsner, P.; Maibach, H.I. Characteristics of the aging skin. Adv. Wound Care 2013, 2, 5–10. [Google Scholar] [CrossRef] [Green Version]
- Ansary, T.M.; Hossain, M.R.; Kamiya, K.; Komine, M.; Ohtsuki, M. Inflammatory molecules associated with ultraviolet radiation-mediated skin aging. Int. J. Mol. Sci. 2021, 22, 3974. [Google Scholar] [CrossRef]
- Orioli, D.; Dellambra, E. Epigenetic regulation of skin cells in natural aging and premature aging diseases. Cells 2018, 7, 268. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chang, A.L.S.; Atzmon, G.; Bergman, A.; Brugmann, S.; Atwood, S.X.; Chang, H.Y.; Barzilai, N. Identification of genes promoting skin youthfulness by genome-wide association study. J. Investig. Dermatol 2014, 134, 651–657. [Google Scholar] [CrossRef] [Green Version]
- Xu, J.; Spitale, R.C.; Guan, L.; Flynn, R.A.; Torre, E.A.; Li, R.; Raber, I.; Qu, K.; Kern, D.; Knaggs, H.E.; et al. Novel gene expression profile of women with intrinsic skin youthfulness by whole transcriptome sequencing. PLoS ONE 2016, 11, e0165913. [Google Scholar] [CrossRef] [Green Version]
- Vandiver, A.R.; Irizarry, R.A.; Hansen, K.D.; Garza, L.A.; Runarsson, A.; Li, X.; Chien, A.L.; Wang, T.S.; Leung, S.G.; Kang, S.; et al. Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin. Genome Biol. 2015, 16, 80. [Google Scholar] [CrossRef] [Green Version]
- Chen, Y.; Lyga, J. Brain-skin connection: Stress, inflammation and skin aging. Inflamm. Allergy Drug Targets 2014, 13, 177–190. [Google Scholar] [CrossRef] [Green Version]
- Silva, S.A.M.E.; Michniak-Kohn, B.; Leonardi, G.R. An overview about oxidation in clinical practice of skin aging. An. Bras. Dermatol. 2017, 92, 367–374. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Clatici, V.G.; Racoceanu, D.; Dalle, C.; Voicu, C.; Tomas-Aragones, L.; Marron, S.E.; Wollina, U.; Fica, S. Perceived age and life style. The specific contributions of seven factors involved in health and beauty. Maedica 2017, 12, 191–201. [Google Scholar] [PubMed]
- Bektas, A.; Schurman, S.H.; Sen, R.; Ferrucci, L. Aging, inflammation and the environment. Exp. Gerontol. 2018, 105, 10–18. [Google Scholar] [CrossRef] [PubMed]
- Zhang, S.; Duan, E. Fighting against skin aging: The Way from Bench to Bedside. Cell Transplant. 2018, 27, 729–738. [Google Scholar] [CrossRef]
- Bocheva, G.; Slominski, R.M.; Slominski, A.T. Neuroendocrine aspects of skin aging. Int. J. Mol. Sci. 2019, 20, 2798. [Google Scholar] [CrossRef] [Green Version]
- Cao, C.; Xiao, Z.; Wu, Y.; Ge, C. Diet and skin aging-from the perspective of food nutrition. Nutrients 2020, 12, 870. [Google Scholar] [CrossRef] [Green Version]
- Borzykh, O.B. Pathophysiological and genetic aspects of the brain–skin axis: The role of stress and inflammation in skin aging. Pers. Psychiatry Neurol. 2022, 2, 28–33. [Google Scholar] [CrossRef]
- Mehta-Ambalal, S.R. Neocollagenesis and neoelastinogenesis: From the laboratory to the clinic. J. Cutan. Aesthetic Surg. 2016, 9, 145–151. [Google Scholar] [CrossRef] [PubMed]
- Abuaf, O.K.; Yildiz, H.; Baloglu, H.; Bilgili, M.E.; Simsek, H.A.; Dogan, B. Histologic evidence of new collagen formulation using platelet rich plasma in skin rejuvenation: A prospective controlled clinical study. Ann. Dermatol. 2016, 28, 718–724. [Google Scholar] [CrossRef] [Green Version]
- Chaudhary, M.; Khan, A.; Gupta, M. Skin ageing: Pathophysiology and current market treatment approaches. Curr. Aging Sci. 2020, 13, 22–30. [Google Scholar] [CrossRef]
- Alam, M.; Hughart, R.; Champlain, A.; Geisler, A.; Paghdal, K.; Whiting, D.; Hammel, J.A.; Maisel, A.; Rapcan, M.J.; West, D.P.; et al. Effect of platelet-rich plasma injection for rejuvenation of photoaged facial skin: A randomized clinical trial. JAMA Dermatol. 2018, 154, 1447–1452. [Google Scholar] [CrossRef]
- Gennai, A.; Zambelli, A.; Repaci, E.; Quarto, R.; Baldelli, I.; Fraternali, G.; Bernardini, F.P. Skin rejuvenation and volume enhancement with the micro superficial enhanced fluid fat injection (M-SEFFI) for skin aging of the periocular and perioral regions. Aesthetic Surg. J. 2017, 37, 14–23. [Google Scholar] [CrossRef] [Green Version]
- Prikhnenko, S. Polycomponent mesotherapy formulations for the treatment of skin aging and improvement of skin quality. Clin. Cosmet. Investig. Dermatol. 2015, 8, 151–157. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Proshhaev, K.I.; Zhernakova, N.I.; Kapustin, R.F. Human biological age and premature aging in an anthropological context. Sci. Notes I. P. Pavlov. St. Petersburg State Med. Univ. 2011, 18, 14–16. [Google Scholar]
- Aliper, A.M.; Csoka, A.B.; Buzdin, A.; Jetka, T.; Roumiantsev, S.; Moskalev, A.; Zhavoronkov, A. Signaling pathway activation drift during aging: Hutchinson-Gilford Progeria Syndrome fibroblasts are comparable to normal middle-age and old-age cells. Aging 2015, 7, 26–37. [Google Scholar] [CrossRef] [Green Version]
- Bonferoni, M.C.; Caramella, C.; Catenacci, L.; Conti, B.; Dorati, R.; Ferrari, F.; Genta, I.; Modena, T.; Perteghella, S.; Rossi, S.; et al. Biomaterials for soft tissue repair and regeneration: A focus on italian research in the field. Pharmaceutics 2021, 13, 1341. [Google Scholar] [CrossRef]
- Deglesne, P.A.; Arroyo, R.; Ranneva, E.; Deprez, P. In Vitro study of RRS HA injectable mesotherapy/biorevitalization product on human skin fibroblasts and its clinical utilization. Clin. Cosmet. Investig. Dermatol. 2016, 9, 41–53. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bagalad, B.S.; Mohan Kumar, K.P.; Puneeth, H.K. Myofibroblasts: Master of disguise. J. Oral Maxillofac. Pathol. 2017, 21, 462–463. [Google Scholar] [CrossRef]
- Kanta, J. Collagen matrix as a tool in studying fibroblastic cell behavior. Cell Adhes. Migr. 2015, 9, 308–316. [Google Scholar] [CrossRef] [Green Version]
- Lemay, K.R.; Tulloch, H.E.; Pipe, A.L.; Reed, J.L. Establishing the minimal clinically important difference for the Hospital Anxiety and Depression Scale in Patients with cardiovascular disease. J. Cardiopulm. Rehabil. Prev. 2019, 39, E6–E11. [Google Scholar] [CrossRef]
- Perpiñá, C.; Gallego, M.J.; Botella, C. Psychometric properties of the Situational Inventory of Body-Image Dysphoria-Short form in a Spanish sample. Body Image 2006, 3, 301–306. [Google Scholar] [CrossRef]
- Brandi, C.; Cuomo, R.; Nisi, G.; Grimaldi, L.; D’Aniello, C. Face Rejuvenation: A new combinated protocol for biorevitalization. Acta Biomed. 2018, 89, 400–405. [Google Scholar] [CrossRef]
- Shoshani, D.; Markovitz, E.; Monstrey, S.J.; Narins, D.J. The modified Fitzpatrick Wrinkle Scale: A clinical validated measurement tool for nasolabial wrinkle severity assessment. Dermatol. Surg. 2008, 34, 85–91. [Google Scholar] [CrossRef]
- Carruthers, A.; Carruthers, J. A validated facial grading scale: The future of facial ageing measurement tools? J. Cosmet. Laser Ther. 2010, 12, 235–241. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Potekaev, N.N.; Borzykh, O.B.; Medvedev, G.V.; Petrova, M.M.; Karpova, E.I.; Zatolokina, M.A.; Al-Zamil, M.; Demina, O.M.; Narodova, E.A.; Shnayder, N.A. Managing wound healing with a hight-risk patient: A case report. Cosmetics 2022, 9, 28. [Google Scholar] [CrossRef]
- Borzykh, O.B.; Shnayder, N.A.; Karpova, E.I.; Petrova, M.M.; Demina, O.M.; Nasyrova, R.F. Collagen synthesis in the skin, its functional and structural features. Med. News North Cauc. 2021, 16, 443–450. [Google Scholar] [CrossRef]
- Potekaev, N.N.; Borzykh, O.B.; Medvedev, G.V.; Petrova, M.M.; Gavrilyuk, O.A.; Karpova, E.I.; Trefilova, V.V.; Demina, O.M.; Popova, T.E.; Shnayder, N.A. Genetic and epigenetic aspects of skin collagen fiber turnover and functioning. Cosmetics 2021, 8, 92. [Google Scholar] [CrossRef]
- Potekaev, N.N.; Borzykh, O.B.; Medvedev, G.V.; Pushkin, D.V.; Petrova, M.M.; Petrov, A.V.; Dmitrenko, D.V.; Karpova, E.I.; Demina, O.M.; Shnayder, N.A. The role of extracellular matrix in skin wound healing. J. Clin. Med. 2021, 10, 5947. [Google Scholar] [CrossRef] [PubMed]
Subgroup (Aesthetic Treatment) | Group 1 (Main Group: Patients with Premature Aging) | Group 2 (Comparison Group: Patients with Normal Aging) |
---|---|---|
Subgroup A (Placebo) | N = 20, Mean age 38.4 ± 2.96 1 | N = 20, Mean age 39.9 ± 3.03 1 |
Subgroup B (Native HA) | N = 21, Mean age 39.8 ± 2.58 1 | N = 25, Mean age 40.5 ± 2.96 1 |
Subgroup C (Complex HA) | N = 20, Mean age 38.7 ± 3.29 1 | |
Subgroup D (Collagen) | N = 21, Mean age 39.3 ± 3.51 1 |
Features | Main Group 1 | Comparison Group 2 | p-Value (Mann–Whitney Test) |
---|---|---|---|
Skin tone | 2.08 ± 0.555 | 0.231 ± 0.652 | <0.001 |
Skin elasticity | 1.62 ± 0.796 | 0.154 ± 0.543 | <0.001 |
Rotational compression test | 2.08 ± 0.882 | 0.462 ± 0.859 | <0.001 |
Skin pores | 3.00 ± 1.22 | 1.69 ± 1.46 | <0.001 |
Forehead wrinkles, static | 1.81 ± 0.908 | 1.27 ± 0.827 | 0.016 |
Wrinkles between the eyebrows, static | 1.40 ± 0.721 | 1.08 ± 0.484 | 0.018 |
“Crow’s feet”, static | 1.83 ± 0.678 | 1.23 ± 0.514 | <0.001 |
Eyebrow position | 1.46 ± 0.670 | 0.577 ± 0.578 | <0.001 |
Overhanging of the upper eyelid | 2.06 ± 0.461 | 0.923 ± 0.744 | <0.001 |
Lower eyelid bags | 2.08 ± 0.518 | 1.31 ± 0.736 | <0.001 |
Tear though | 2.48 ± 0.610 | 1.35 ± 0.629 | <0.001 |
Palpebromalar groove | 1.25 ± 0.556 | 0.192 ± 0.402 | <0.001 |
Nasal jugal groove | 2.02 ± 0.671 | 0.885 ± 0.326 | <0.001 |
Nasolabial folds | 2.90 ± 0.721 | 2.15 ± 0.613 | <0.001 |
Puppet lines | 1.52 ± 0.754 | 1.04 ± 0.662 | <0.001 |
Lip-chin crease | 1.58 ± 0.997 | 1.00 ± 0.748 | 0.020 |
Accordion lines | 1.00 ± 0.970 | 0.0769 ± 0.392 | <0.001 |
Wrinkles in front of the ears | 1.00 ± 0.816 | 0.231 ± 0.531 | <0.001 |
Jaw line | 1.42 ± 0.848 | 0.962 ± 0.720 | <0.01 |
Barcode lines | 0.250 ± 0.437 | 0.154 ± 0.368 | 0.339 |
Changing the volume of the lips | 0.423 ± 0.499 | 0.115 ± 0.326 | 0.007 |
Changing the white lip roller | 0.212 ± 0.412 | 0.0769 ± 0.272 | 0.137 |
Wrinkles of the lower lip | 0 | 0 | |
Lowering the corner of the lips | 1.60 ± 0.774 | 0.885 ± 0.864 | <0.001 |
Age-related changes in the neck | 1.65 ± 0.653 | 1.04 ± 0.344 | <0.001 |
Age-related changes in the hands | 0.981 ± 0.420 | 0.885 ± 0.588 | 0.387 |
Adverse Event | Main Group (n = 52) | Comparison Group (n = 26) | p-Value (Pearson’s Criterion χ2) |
---|---|---|---|
A tendency to petechiae | 35; 67.3% | 2; 7.7% | <0.001 |
A decrease in regeneration | 20; 38.5% | 4; 15.4% | 0.037 |
The presence of hypertrophic or wide scars | 10; 19.2% | 0 | 0.017 |
Indicators | Main Group (n = 52) | Comparison Group (n = 26) | OR | 95% CI | p-Value |
---|---|---|---|---|---|
Tired morphotype of aging | 39; 75.01% | 8; 30.77% | 6.750 | 2.379–19.153 | <0.001 |
Hereditary predisposition | 3; 5.8% | 0 | – | – | 0.212 |
Prone to colds (more than four times a year) | 10; 19.23% | 0 | – | – | 0.013 |
Varicose veins | 17; 32.69% | 3; 11.54 | 5.829 | 1.231–27.586 | 0.037 |
Prolapse of organs/spinal hernias | 14; 26.9% | 2;7.7% | 4.421 | 0.922–21.193 | 0.047 |
Joint hypermobility | 26; 50% | 2; 7.69% | 12.000 | 2.569–56.062 | <0.001 |
Arachnodactyly | 20; 38% | 0 | – | – | <0.001 |
The Varge index is less than 1.7 * | 25; 48.1% | 1; 3.8% | 23.148 | 2.917–183.725 | <0.001 |
Pale skin, grayish complexion | 44; 84.61% | 5; 19.23% | 23.100 | 6.736–79.219 | <0.001 |
Swelling of the face | 27; 51.9% | 6; 23.1% | 3.600 | 1.244–10.414 | 0.015 |
The presence of telangiectasia | 33; 63.46% | 5; 19.23% | 7.295 | 2.364–22.512 | <0.001 |
Thin skin, body skin with pronounced venous | 37; 71.15% | 3; 11.54% | 18.911 | 4.930–72.543 | <0.001 |
Hyperextension of the skin (>2 cm) | 40; 76.92% | 1; 3.85% | 83.333 | 10.201–680.747 | <0.001 |
Tendency to bruising | 35; 67.3% | 2; 7.7% | 24.706 | 5.220–116.931 | <0.001 |
Reduced regeneration | 20; 38.5% | 4; 15.4% | 3.438 | 1.032–11.447 | 0.037 |
Scarring disorder | 10; 19.2% | 0 | – | – | 0.017 |
Skin Condition | Subgroup | |||||
---|---|---|---|---|---|---|
1A | 1B | 1C | 1D | 2A | 2B | |
Color | 0.550 ± 0.510 | 0.714 ± 0.561 | 1.25 ± 0.851 * | 1.35 ± 0.587 * | 0.600 ± 0.598 | 1.55 ± 0.510 * |
Glow | 0.150 ± 0.366 | 0.476 ± 0.366 | 1.15 ± 0.745 * | 1.21 ± 0.787 * | 0.150 ± 0.366 | 1.29 ± 0.464 * |
Hydration | 0.600 ± 0.598 | 1.00 ± 0.707 | 1.55 ± 0.605 * | 1.50 ± 0.513 * | 0.650 ± 0.489 | 1.64 ± 0.490 * |
Softness | 0.700 ± 0.470 | 1.10 ± 0.625 ** | 1.55 ± 0.686 * | 1.43 ± 0.676 * | 0.650 ± 0.489 | 1.54 ± 0.509 * |
Enlarged pores | 0.250 ± 0.550 | 0.381 ± 0.498 | 1.19 ± 0.544 * | 1.24 ± 0.752 * | 0 | 1.13 ± 0.743 * |
Skin tone | 0.650 ± 0.587 | 0.810 ± 0.512 | 1.25 ± 0.639 * | 1.48 ± 0.602 * | 0.263 ± 0.452 | 1.42 ± 0.504 * |
Fine wrinkles | 0.250 ± 0.444 | 0.667 ± 0.577 ** | 1.32 ± 0.749 * | 1.2 ± 0.834 * | 0 | 1.38 ± 0.590 * |
Face Area | Subgroup | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1A | 1B | 1C | 1D | 2A | 2B | |||||||
Before | After | Before | After | Before | After | Before | After | Before | After | Before | After | |
Middle third of the face (mm) | 1.86 ± 0.224 | 1.85 ± 0.191 | 1.96 ± 0.204 | 2.01 ± 0.225 | 1.87 ± 0.192 | 2.70 ± 0.321 * | 1.83 ± 0.198 | 2.55 ± 0.304 * | 1.97 ± 0.201 | 1.97 ± 0.180 | 1.95 ± 0.206 | 2.80 ± 0.384 * |
Lower third of the face (mm) | 1.49 ± 0.251 | 1.49 ± 0.199 | 1.67 ± 0.237 | 1.69 ± 0.239 | 1.54 ± 0.238 | 2.17 ± 0.258 * | 1.50 ± 0.196 | 2.07 ± 0.224 * | 1.60 ± 0.236 | 1.58 ± 0.277 | 1.62 ± 0.250 | 2.20 ± 0.364 * |
Submental area (mm) | 1.32 ± 0.168 | 1.32 ± 0.134 | 1.45 ± 0.161 | 1.45 ± 0.184 | 1.35 ± 0.191 | 1.33 ± 0.179 | 1.33 ± 0.159 | 1.30 ± 0.147 | 1.39 ± 0.147 | 1.38 ± 0.130 | 1.37 ± 0.144 | 1.36 ± 0.150 |
Group/Subgroup | Collagen Type I | Collagen Type III | Collagen Ratio I/III |
---|---|---|---|
Main group (before treatment) | 97.39 ± 1.51 | 2.61 ± 0.22 | 39.08 ± 0.87 |
Subgroup 1A (after placebo) | 96.99 ± 1.50 | 3.01 ± 0.29 | 36.56 ± 0.89 |
Subgroup 1B (after native HA) | 95.43 ± 1.49 | 4.57 ± 0.30 * | 22.20 ± 0.67 *,# |
Subgroup 1C (after complex HA) | 90.96 ± 1.45 *,# | 9.04 ± 0.42 *,# | 10.23 ± 0.44 *,# |
Subgroup 1D (after collagen) | 76.82 ± 1.31 *,# | 23.18 ± 0.68 *,# | 3.35 ± 0.26 *,# |
Comparison group (before treatment) | 77.96 ± 1.34 | 22.04 ± 0.69 | 3.54 ± 0.28 |
Subgroup 2A (after placebo) | 75.96 ± 1.32 | 24.04 ± 0.73 | 3.16 ± 0.26 |
Subgroup 2B (after native HA) | 92.24 ± 1.46 *,# | 7.76 ± 0.39 *,# | 12.15 ± 0.48 *,# |
Parameter | Main Group | Comparison Group | p-Value (Mann–Whitney Test) |
---|---|---|---|
Average score on the Anxiety Subscale (HADS) | 6.57 ± 3.13 | 5.50 ± 2.69 | 0.071 |
Average score on the Depression Subscale (HADS) | 4.51 ± 2.91 | 3.92 ± 2.61 | 0.213 |
Average score on the scale of the “Questionnaire of situational dissatisfaction with body image” (SIBID) | 1.27 ± 0.710 | 1.32 ± 0.688 | 0.596 |
Average score on the scale of the “Questionnaire of ideas about appearance” (ASI-R) | 2.92 ± 0.581 | 2.98 ± 0.473 | 0.609 |
Scale | Patients Who Underestimate the Assessment of Satisfaction | Patients Who Do Not Underestimate the Assessment of Satisfaction | p-Value (Mann–Whitney Test) |
---|---|---|---|
HADS (Anxiety subscale) | 7.78 ± 2.59; CI 95% (6.75; 8.80) | 5.87 ± 3.50; CI 95% (4.74; 7.01) | 0.020 |
HADS (Depression subscale) | 5.22 ± 3.32; CI (3.91; 6.54) | 3.74 ± 2.84; CI (2.82; 4.66) | 0.040 |
SIBID | 1.32 ± 0.607 | 1.32 ± 0.726 | 0.360 |
ASI-R | 2.84 ± 0.339 | 2.87 ± 0.432 | 0.601 |
Gene | Genotype | Subclinical or Clinical Depression | Normal | OR | 95% CI | p-Value |
---|---|---|---|---|---|---|
CC/CT rs6313 and AA/AG rs7997012 | 3; 30.0% | 40; 60.6% | 0.279 | 0.066–1.176 | <0.001 | |
HTR2A | TT rs6313 or GG rs7997012 | 5; 50.0% | 26; 39.4% | 1.538 | 0.405–5.842 | |
TT rs6313 and GG rs7997012 | 2; 20.0% | 0 | – | – |
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Potekaev, N.N.; Borzykh, O.B.; Karpova, E.I.; Petrova, M.M.; Shnayder, N.A.; Zatolokina, M.A.; Demina, O.M.; Dmitrenko, D.V.; Timechko, E.E. A New Approach toward the Management of Patients with Premature Skin Aging Using the Predictor Effect. Cosmetics 2023, 10, 49. https://doi.org/10.3390/cosmetics10020049
Potekaev NN, Borzykh OB, Karpova EI, Petrova MM, Shnayder NA, Zatolokina MA, Demina OM, Dmitrenko DV, Timechko EE. A New Approach toward the Management of Patients with Premature Skin Aging Using the Predictor Effect. Cosmetics. 2023; 10(2):49. https://doi.org/10.3390/cosmetics10020049
Chicago/Turabian StylePotekaev, Nikolai N., Olga B. Borzykh, Elena I. Karpova, Marina M. Petrova, Natalia A. Shnayder, Maria A. Zatolokina, Olga M. Demina, Diana V. Dmitrenko, and Elena E. Timechko. 2023. "A New Approach toward the Management of Patients with Premature Skin Aging Using the Predictor Effect" Cosmetics 10, no. 2: 49. https://doi.org/10.3390/cosmetics10020049
APA StylePotekaev, N. N., Borzykh, O. B., Karpova, E. I., Petrova, M. M., Shnayder, N. A., Zatolokina, M. A., Demina, O. M., Dmitrenko, D. V., & Timechko, E. E. (2023). A New Approach toward the Management of Patients with Premature Skin Aging Using the Predictor Effect. Cosmetics, 10(2), 49. https://doi.org/10.3390/cosmetics10020049