| Literature DB >> 35055807 |
Biagio Rapone1, Elisabetta Ferrara2, Luigi Santacroce2, Skender Topi3, Antonio Gnoni4, Gianna Dipalma1, Antonio Mancini1, Marina Di Domenico5, Gianluca Martino Tartaglia6, Antonio Scarano7, Francesco Inchingolo1.
Abstract
BACKGROUND: the establishment of periodontitis is regulated by the primary etiological factor and several individual conditions including the immune response mechanism of the host and individual genetic factors. It results when the oral homeostasis is interrupted, and biological reactions favor the development and progression of periodontal tissues damage. Different strategies have been explored for reinforcing the therapeutic effect of non-surgical periodontal treatment of periodontal tissue damage. Gaseous ozone therapy has been recognized as a promising antiseptic adjuvant, because of its immunostimulating, antimicrobial, antihypoxic, and biosynthetic effects. Then, we hypothesized that the adjunct of gaseous ozone therapy to standard periodontal treatment may be leveraged to promote the tissue healing response.Entities:
Keywords: gaseous ozone therapy; moderate periodontitis; non-surgical periodontal treatment; ozone; periodontal disease; severe periodontitis
Mesh:
Substances:
Year: 2022 PMID: 35055807 PMCID: PMC8775443 DOI: 10.3390/ijerph19020985
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Consort diagram showing the screening, enrolment and randomization of study patients.
Baseline demographic characteristics of participants.
| Group A * | Group B ** | |
|---|---|---|
| Age (mean ± SD) | 51.62 ± 9.56 | 49.88 ± 10.54 |
| Sex | M 87% | M 78% |
| Prevalence of Moderate Periodontitis (%) | 78 | 83 |
| Prevalence of Severe Periodontitis (%) | 22 | 17 |
Group A *: Test Group (SRP + OZONE); Group B **: Control Group (SRP).
Baseline clinical periodontal parameters of both groups.
| PPD (mm) | PPD (mm) | CAL (mm) | CAL (mm) | BOP (%) | BOP (%) | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | 5.39 | 5.37 | 0.81 | 5.53 | 5.78 | <0.05 | 49 | 50.83 | 0.62 |
| Std. Deviation | 0.31 | 0.2 | - | 0.27 | 0.3 | - | 14.74 | 18.11 | - |
Group A *: Test Group (SRP + OZONE); Group B **: Control Group (SRP); PPD: Probing pocket depth; CAL: Clinical attachment level; BOP: Bleeding on probing. p Value: statistically significant at <0.05.
Change of periodontal clinical parameters of both groups at 3 months.
| PPD (mm) | PPD (mm) Group B ** | CAL (mm) Group A | CAL (mm) Group B | BOP (%) Group A | BOP (%) Group B | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | 2.75 | 3.2 | < 0.001 | 2.99 | 3.38 | < 0.003 | 8.12 | 17.78 | < 0.0001 |
| Median | 2.93 | 3.25 | - | 3.18 | 3.47 | - | 8 | 18 | - |
| Std. Deviation | 0.59 | 0.6 | - | 0.53 | 0.6 | - | 4.6 | 7.05 | - |
Group A *: Test Group (SRP + OZONE); Group B **: Control Group (SRP); PPD: Probing pocket depth; CAL: Clinical attachment level; BOP: Bleeding on probing. p Value: statistically significant at <0.05.
Change of periodontal clinical parameters of both groups at 6 months.
| PPD (mm) Group A * | PPD (mm) Group B ** | CAL (mm) Group A | CAL (mm) Group B | BOP (%) Group A | BOP (%) Group B | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | 2.67 | 3.28 | <0.0001 | 2.85 | 3.42 | <0.0001 | 6.27 | 12.83 | <0.0001 |
| Median | 2.52 | 3.41 | - | 2.94 | 3.37 | - | 6 | 12 | - |
| Std. Deviation | 0.48 | 0.71 | - | 0.48 | 0.75 | - | 3.32 | 5.7 | - |
Group A *: Test Group (SRP + OZONE); Group B **: Control Group (SRP); PPD: Probing pocket depth; CAL: Clinical attachment level; BOP: Bleeding on probing. p Value: statistically significant at <0.05.
Unpaired T test results at 3 and 6 months.
| PPD (mm) | PPD (mm) | CAL (mm) | CAL (mm) | BOP (%) | BOP (%) | |
|---|---|---|---|---|---|---|
| <0.05 | <0.05 | <0.05 | <0.05 | <0.05 | <0.05 | |
| T value | 3.35 | 4.43 | 3.06 | 4.02 | 7.23 | 6.27 |
| Df | 78 | 78 | 78 | 78 | 78 | 78 |
| Differences between the means ± SEM | 0.45 ± 0.13 | 0.6 ± 0.13 | 0.39 ± 0.12 | 0.57 ± 0.14 | 9.65 ± 1.33 | 6.55 ± 1.04 |
| CI 95% | 0.18 to 0.71 | 0.33 to 0.88 | 0.13 to 0.64 | 0.28 to 0.85 | 6.99 to 12.3 | 4.47 to 8.62 |
| R | 0.12 | 0.2 | 0,1 | 0.17 | 0.4 | 0.33 |
| F | 1.058 | 2.14 | 1.3 | 2.36 | 2.34 | 2.95 |
| 0.86 | 0.01 | 0.4 | 0.008 | 0.009 | 0.001 |
p Value: statistically significant at <0.05.
Figure 2The difference between means at baseline (a), 3 (b) and 6 (c) months.
Figure 3Q-Q scatterplot for normality of the residuals for the regression model.
Figure 4Residuals scatterplot testing homoscedasticity.
Mixed Model MANCOVA Results.
| Source |
| SS | MS | F |
|
|
|---|---|---|---|---|---|---|
| Between-Subjects | ||||||
| Treatment | 1 | 8.76 | 8.76 | 23.28 | <0.001 | 0.24 |
| Stage_of_disease | 1 | 1.78 | 1.78 | 4.73 | 0.033 | 0.06 |
| Age | 1 | 2.90 | 2.90 | 7.69 | 0.007 | 0.09 |
| sex | 1 | 0.92 | 0.92 | 2.43 | 0.123 | 0.03 |
| Residuals | 75 | 28.24 | 0.38 | |||
| Within-Subjects | ||||||
| Time Factor | 2 | 4.41 | 2.20 | 8.11 | <0.001 | 0.10 |
| Treatment:Time Factor | 2 | 13.82 | 6.91 | 25.45 | <0.001 | 0.25 |
| Stage_of_disease:Time Factor | 2 | 0.99 | 0.49 | 1.82 | 0.166 | 0.02 |
| Age:Time Factor | 2 | 0.40 | 0.20 | 0.73 | 0.482 | 0.01 |
| sex:Time Factor | 2 | 0.71 | 0.36 | 1.32 | 0.271 | 0.02 |
| Time Factor Residuals | 150 | 40.74 | 0.27 | |||
| Dv Factor | 1 | 0.23 | 0.23 | 0.86 | 0.358 | 0.01 |
| Treatment:Dv Factor | 1 | 2.38 | 2.38 | 8.74 | 0.004 | 0.10 |
| Stage_of_disease:Dv Factor | 1 | 0.07 | 0.07 | 0.26 | 0.611 | 0.00 |
| Age:Dv Factor | 1 | 0.04 | 0.04 | 0.15 | 0.698 | 0.00 |
| sex:Dv Factor | 1 | 0.13 | 0.13 | 0.47 | 0.494 | 0.01 |
| Dv Factor Residuals | 75 | 20.43 | 0.27 | |||
| Time Factor:Dv Factor | 2 | 0.11 | 0.06 | 0.20 | 0.778 | 0.00 |
| Treatment:Time Factor:Dv Factor | 2 | 5.43 | 2.71 | 9.57 | <0.001 | 0.11 |
| Stage_of_disease:Time Factor:Dv Factor | 2 | 0.01 | 0.01 | 0.03 | 0.955 | 0.00 |
| Age:Time Factor:Dv Factor | 2 | 0.24 | 0.12 | 0.42 | 0.617 | 0.01 |
| sex:Time Factor:Dv Factor | 2 | 0.73 | 0.37 | 1.29 | 0.276 | 0.02 |
| Time Factor:Dv Factor Residuals | 150 | 42.56 | 0.28 |
Degrees of Freedom ( Refers to the number of values used to compute a statistic; an F-test has two values for df: the first is determined by the number of groups being compared—1, and the second is approximately the number of observations in the sample; used with the F to determine the p-value; The ratio of explained variance to error variance; used with the two df values to determine the p-value; Partial Eta Squared ( Effect size for the ANOVA/MANOVA and determines the strength of the differences among the groups; The probability of obtaining the observed results if the null hypothesis is true; Residuals: Refers to the difference between the predicted value for the dependent variable and the actual value of the dependent variable.