Efficacy of Fractional Laser on Steroid Receptors in GSM Patients
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Sample
2.3. Eligibility Criteria
2.3.1. Inclusion Criteria
- Age 40–65 years;
- Absence of menstruation for at least 12 months;
- Presence of symptoms attributable to GSM (i.e., vaginal dryness/dyspareunia);
- Women who underwent a conventional colposcopic examination and a Frost index consistent with atrophy;
- Women who had not undergone hormone replacement in the past 12 months.
2.3.2. Exclusion Criteria
- Acute or recurrent urogenital infection or inflammation;
- Preneoplastic lesions;
- Pelvic prolapse;
- Pregnancy;
- Immunosuppression;
- Severe chronic disease;
- Previous pelvic surgery;
- Use of hormone therapy for <1 year;
- Previous pelvic radiotherapy.
2.4. Laser Application
2.5. Biopsy
2.6. Immunohistochemistry
2.7. Statistical Analyses
- Student’s t-test was used for independent samples [15] to compare the groups (estrogen and laser) based on the current age, body mass index (BMI), number of normal deliveries, and increased thickness of the vaginal epithelium;
- Pearson’s chi-squared and Fisher’s exact test or its extension [16] were used to compare groups (estrogen and laser) based on marital status, schooling, hypertension, osteoporosis, depression, increased thickness of the vaginal epithelium, estrogen levels, and progesterone receptor levels;
- The Mann–Whitney U-test [17] was used to compare groups (estrogen and laser) based on age at the beginning of menopause;
- The Wilcoxon rank-sum test [17] was used to compare levels (scores) of estrogen and progesterone receptors between time periods (initial and final);
- A repeated-measures analysis of variance [18] was used to compare the thickness of the vaginal epithelium of the groups (estrogen and laser) and time periods (initial and final);
- Spearman’s correlation coefficient [17] was used to quantify the correlation of the vaginal epithelial thickness with estrogen and progesterone receptor levels. An alpha significance level of 5% was used for all conclusions obtained through inferential analyses. The data were analyzed using Excel 2010 for Windows (Microsoft, Redmond, WA, USA) for proper storage of the information. Statistical analyses were performed using SPSS Statistics Version 24 (IBM, Armonk, NY, USA) and R Version 3.6.3 (R Foundation, Vienna, Austria) [19].
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Group | ||||||||
---|---|---|---|---|---|---|---|---|
Estrogen | Laser | Total | ||||||
(n = 12) | (n = 13) | (n = 25) | p | |||||
Current age (years) | Average | 55.5 | 55.8 | 55.6 | 0.880 a | |||
Median | 55.0 | 55.0 | 55.0 | |||||
Minimum | 50.0 | 50.0 | 50.0 | |||||
Maximum | 62.0 | 63.0 | 63.0 | |||||
Standard deviation | 4.4 | 4.5 | 4.3 | |||||
Body mass index (kg/m2) | Average | 27.3 | 28.2 | 27.8 | 0.591 a | |||
Median | 26.7 | 26.5 | 26.6 | |||||
Minimum | 22.0 | 22.1 | 22.0 | |||||
Maximum | 33.7 | 37.9 | 37.9 | |||||
Standard deviation | 3.4 | 4.7 | 4.1 | |||||
Number of normal deliveries | 0 | 3 | 25.0% | 2 | 15.4% | 3 | 25.0% | 2 |
1 | - | - | 1 | 7.7% | - | - | 1 | |
2 | 5 | 41.7% | 5 | 38.5% | 5 | 41.7% | 5 | |
3 | 2 | 16.7% | 4 | 30.8% | 2 | 16.7% | 4 | |
4 | 1 | 8.3% | 1 | 7.7% | 1 | 8.3% | 1 | |
6 | 1 | 8.3% | - | - | 1 | 8.3% | - | |
Marital status | Married | 10 | 83.3% | 11 | 84.6% | 10 | 83.3% | 11 |
Single | - | - | 2 | 15.4% | - | - | 2 | |
Widowed | 2 | 16.7% | - | - | 2 | 16.7% | - | |
Schooling | Elementary incomplete | 3 | 25.0% | 4 | 30.8% | 3 | 25.0% | 4 |
Elementary complete | 3 | 25.0% | - | - | 3 | 25.0% | - | |
High school complete | 5 | 41.7% | 7 | 53.8% | 5 | 41.7% | 7 | |
Higher education complete | 1 | 8.3% | 2 | 15.4% | 1 | 8.3% | 2 | |
Systemic arterial hypertension | Yes | 6 | 50.0% | 5 | 38.5% | 6 | 50.0% | 5 |
No | 6 | 50.0% | 8 | 61.5% | 6 | 50.0% | 8 | |
Osteoporosis | Yes | - | - | 2 | 15.4% | - | - | 2 |
No | 12 | 100.0% | 11 | 84.6% | 12 | 100.0% | 11 | |
Depression | Yes | 4 | 33.3% | 2 | 15.4% | 4 | 33.3% | 2 |
No | 8 | 66.7% | 11 | 84.6% | 8 | 66.7% | 11 | |
Age at the onset of menopause (years) | Average | 44.5 | 47.8 | 46.2 | 0.366 b | |||
Median | 47.5 | 49.0 | 49.0 | |||||
Minimum | 30.0 | 41.0 | 30.0 | |||||
Maximum | 51.0 | 54.0 | 54.0 | |||||
Standard deviation | 7.0 | 4.0 | 5.8 |
Estrogen Group | Laser Group | Total | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Initial | End | Initial | End | Initial | End | |||||||
Estrogen receptor | ||||||||||||
Negative (score of 0) | 2 | 16.7% | 2 | 16.7% | 4 | 30.8% | - | - | 6 | 24.0% | 2 | 8.0% |
Positive in lower layer (score of 1) | 6 | 50.0% | 2 | 16.7% | 6 | 46.2% | 4 | 30.8% | 12 | 48.0% | 6 | 24.0% |
Positive up to the middle third (score of 2) | 4 | 33.3% | 6 | 50.0% | 3 | 23.1% | 6 | 46.2% | 7 | 28.0% | 12 | 48.0% |
Positive up to the upper third (score of 3) | - | - | 2 | 16.7% | - | - | 3 | 23.1% | - | - | 5 | 20.0% |
Total | 12 | 100.0% | 12 | 100.0% | 13 | 100.0% | 13 | 100.0% | 25 | 100.0% | 25 | 100.0% |
Progesterone receptor | ||||||||||||
Negative (score of 0) | 12 | 100.0% | 10 | 83.3% | 10 | 76.9% | 10 | 76.9% | 22 | 88.0% | 20 | 80.0% |
Positive in lower layer (score of 1) | - | - | 2 | 16.7% | 3 | 23.1% | 2 | 15.4% | 3 | 12.0% | 4 | 16.0% |
Positive up to the middle third (score of 2) | - | - | - | - | - | - | 1 | 7.7% | - | - | 1 | 4.0% |
Estrogen Group | ||||
---|---|---|---|---|
Time | Correlated pairs | S * | CI ** | p |
Initial | Thickness x estrogen | 0.118 | −0.489; 0.648 | 0.715 |
Thickness x progesterone | - | - | - | |
Final | Thickness x estrogen | −0.171 | −0.647; 0.490 | 0.596 |
Thickness x progesterone | 0.468 | −0.145; 0.821 | 0.125 | |
Laser group | ||||
Time | Correlated pairs | S * | CI ** | p |
Initial | Thickness x estrogen | 0.217 | −0.379; 0.689 | 0.477 |
Thickness x progesterone | −0.100 | −0.617; 0.477 | 0.745 | |
Final | Thickness x estrogen | 0.331 | −0.269; 0.746 | 0.270 |
Thickness x progesterone | −0.203 | −0.678; 0.392 | 0.506 | |
Estrogen + laser | ||||
Time | Correlated pairs | S * | CI ** | p |
Initial | Thickness x estrogen | 0.208 | −0.089; 0.633 | 0.317 |
Thickness x progesterone | −0.140 | −0.507; 0.270 | 0.504 | |
Final | Thickness x estrogen | 0.150 | −0.261; 0.515 | 0.475 |
Thickness x progesterone | −0.116 | −0.489; 0.293 | 0.581 |
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Pinho, S.C.; Heinke, T.; Dutra, P.F.S.P.; Carmo, A.; Salmeron, C.; Karoleski, L.; Focchi, G.; Speck, N.M.G.; Pennati, B.M.; Silva, I. Efficacy of Fractional Laser on Steroid Receptors in GSM Patients. Bioengineering 2023, 10, 1087. https://doi.org/10.3390/bioengineering10091087
Pinho SC, Heinke T, Dutra PFSP, Carmo A, Salmeron C, Karoleski L, Focchi G, Speck NMG, Pennati BM, Silva I. Efficacy of Fractional Laser on Steroid Receptors in GSM Patients. Bioengineering. 2023; 10(9):1087. https://doi.org/10.3390/bioengineering10091087
Chicago/Turabian StylePinho, Stella Catunda, Thais Heinke, Paula Fernanda Santos Pallone Dutra, Andreia Carmo, Camilla Salmeron, Luciana Karoleski, Gustavo Focchi, Neila Maria Góis Speck, Beatrice Marina Pennati, and Ivaldo Silva. 2023. "Efficacy of Fractional Laser on Steroid Receptors in GSM Patients" Bioengineering 10, no. 9: 1087. https://doi.org/10.3390/bioengineering10091087
APA StylePinho, S. C., Heinke, T., Dutra, P. F. S. P., Carmo, A., Salmeron, C., Karoleski, L., Focchi, G., Speck, N. M. G., Pennati, B. M., & Silva, I. (2023). Efficacy of Fractional Laser on Steroid Receptors in GSM Patients. Bioengineering, 10(9), 1087. https://doi.org/10.3390/bioengineering10091087