| Literature DB >> 35418764 |
Xuan Wang1, Dan Liao2, Qiu-Ming Ji2, Yu-Hong Yang2, Ming-Chao Li3, Xian-Yun Yi2, Chi Li2, Yu Chen2, Hong-Bo Tao2, Wen-Hui Zhai2.
Abstract
Objective: To examine the bactericidal effects of three different states of medical ozone (liquid, gas, and oil) against drug-resistant strains of common bacteria on burn wounds, which could as a clinical reference.Entities:
Keywords: burn; multidrug resistant bacteria; ozone; wound treatment
Year: 2022 PMID: 35418764 PMCID: PMC8995158 DOI: 10.2147/IDR.S353277
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Comparison of the Bactericidal Ability of 3 Types of Ozone Towards Common Bacteria in Burn Wounds at Different Time Points
| Group | Ozone Gas | Ozone Water | Ozone Oil | F value | P value | ||
|---|---|---|---|---|---|---|---|
| 5min | Number of living bacteria (cfu) | 1.52±0.06a,** | 0.10±0.02 | 0.11±0.03b,** | 5837.537 | <0.001 | |
| Bactericidal rate (%) | 49.41±1.96 | 96.74±0.66 | 96.21±1.02 | – | – | ||
| 10min | Number of living bacteria (cfu) | 1.13±0.08a,ΔΔ | 0.01±0.01 | 0.00±0.01b,ΔΔ | 3271.379 | <0.001 | |
| Bactericidal rate (%) | 62.39±2.42 | 99.56±0.26 | 99.91±0.18 | – | – | ||
| 30min | Number of living bacteria (cfu) | 0.00±0.00a,## | 0.01±0.01c,## | 0.00±0.00 | 1.906 | >0.05 | |
| Bactericidal rate (%) | 100 | 99.72±0.24 | 100 | – | – | ||
| 5min | Number of living bacteria (cfu) | 1.01±0.07a,** | 0.13±0.02 | 0.12±0.03b,** | 1699.335 | <0.001 | |
| Bactericidal rate (%) | 66.26±2.17 | 95.64±0.67 | 95.93±0.99 | – | – | ||
| 10min | Number of living bacteria (cfu) | 0.61±0.07a,ΔΔ | 0.02±0.02 | 0.00±0.01b,ΔΔ | 801.400 | <0.001 | |
| Bactericidal rate (%) | 79.66±2.39 | 99.64±0.23 | 99.87±0.21 | – | – | ||
| 30min | Number of living bacteria (cfu) | 0.00±0.00a,## | 0.01±0.01c,## | 0.00±0.00 | 1.044 | >0.05 | |
| Bactericidal rate (%) | 100 | 99.59±0.44 | 100 | – | – | ||
| 5min | Number of living bacteria (cfu) | 1.32±0.05a,** | 0.09±0.03 | 0.08±0.03b,** | 3890.445 | <0.001 | |
| Bactericidal rate (%) | 55.96±1.70 | 96.77±0.79 | 97.25±1.09 | – | – | ||
| 10min | Number of living bacteria (cfu) | 0.96±0.08a,ΔΔ | 0.01±0.01 | 0.00±0.00b,ΔΔ | 1519.401 | <0.001 | |
| Bactericidal rate (%) | 68.01±2.61 | 99.55±0.36 | 99.95±0.11 | – | – | ||
| 30min | Number of living bacteria (cfu) | 0.00±0.00a,## | 0.01±0.01c,## | 0.00±0.00 | 0.853 | >0.05 | |
| Bactericidal rate (%) | 100 | 99.76±0.27 | 100 | – | – | ||
Notes: aOzone gas vs ozone water, bOzone gas vs ozone oil, cOzone water vs ozone oil. Compared with this group at 5 min **p<0.01; compared with this group at 10 min: ΔΔP<0.01; compared with this group at 30min: ##P<0.01. cfu (colony-forming unit): it estimates the number of bacteria or fungal cells in a sample which are viable, able to multiply via binary fission under the controlled conditions. F-value: the ratio of two variances, or technically, two mean squares. Mean squares are simply variances that account for the degrees of freedom (DF) used to estimate the variance. F-values are the test statistic for F-tests. Learn more about test statistics. p-value: a p-value is a measure of the probability that an observed difference could have occurred just by random chance.
Spherical Test Results of Bactericidal Effects of Three Types of Ozone at Different Time Points
| Group | Mauchly’s W | The | Degree of Freedom | P value |
|---|---|---|---|---|
| 0.687 | 15.369 | 2.000 | <0.001 | |
| 0.997 | 0.102 | 2.000 | 0.95 | |
| 0.893 | 3.618 | 2.000 | 0.164 |
Notes: Mauchly’s W: Mauchly’s sphericity test. The χ2 value that was last read: a chi-square (χ2) statistic is a measure of the difference between the observed and expected frequencies of the outcomes of a set of events or variables. Chi-square is useful for analyzing such differences in categorical variables, especially those nominal in nature. Degree of freedom: degrees of freedom refers to the maximum number of logically independent values, which are values that have the freedom to vary, in the data sample.
Interaction of Group Processing and Different Intervention Times of 3 Types of Ozone
| Group | Variables | Type III Sum of Squares | Degree of Freedom | Mean Square | F value | P value |
|---|---|---|---|---|---|---|
| Time | 7.654 | 1.524 | 5.023 | 3042.870 | <0.001 | |
| Time*group | 11.187 | 3.047 | 3.671 | 2223.833 | <0.001 | |
| Group | 21.304 | 2.000 | 10.652 | 9431.354 | <0.001 | |
| Time | 3.401 | 2.000 | 1.701 | 1625.928 | <0.001 | |
| Time*group | 3.597 | 4.000 | 0.899 | 8 59.877 | <0.001 | |
| Group | 6.331 | 2.000 | 3.166 | 1645.882 | <0.001 | |
| Time | 4.579 | 2.000 | 2.290 | 2065.026 | <0.001 | |
| Time*group | 6.716 | 4.000 | 1.679 | 1514.331 | <0.001 | |
| Group | 12.673 | 2.000 | 6.337 | 3625.360 | <0.001 |
Notes: Type III sum of squares: the type III sums of squares are also called partial sums of squares. The type III sums of squares are not sequential, so the order of specification does not matter. Besides, the type III sums of squares do specify an interaction effect. Mean square: is a gauge of the average amount of variation explained by extraneous variables (the unsystematic variation). Time * group = interaction between group and time.