This study investigates the efficacy of fractional CO2 laser treatment for patients suffering from Vaginal Relaxation Syndrome (VRS) combined with recurrent bacterial vaginitis. A total of 120 patients were randomly assigned to either an intervention group receiving fractional CO2 laser therapy plus metronidazole or a control group receiving metronidazole alone.
The study was conducted at Guilin People's Hospital and included patients aged 20 to 45 years with a history of at least one vaginal delivery. The control group received metronidazole alone, while the intervention group received metronidazole and fractional CO2 laser therapy using the SmartXide2 C60 device. The treatment involved three sessions spaced 28 to 42 days apart.
Limitations of the study include its single-center design, relatively small sample size, and the absence of objective indicators such as vaginal flora distribution and muscle strength tests. Additionally, the study did not explore the effects of laser treatment on other types of vaginal infections.
The findings suggest that combining fractional CO2 laser treatment with conventional drug therapy can significantly improve outcomes for patients with VRS and recurrent bacterial vaginitis, enhancing vaginal microecology and reducing recurrence rates.
import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt # Sample data lactobacilli_distribution = np.random.rand(120) vhi_scores = np.random.rand(120) # Create DataFrame data = pd.DataFrame({'Lactobacilli Distribution': lactobacilli_distribution, 'VHI Scores': vhi_scores}) # Calculate correlation correlation = data.corr().iloc[0, 1] # Plot sns.scatterplot(x='Lactobacilli Distribution', y='VHI Scores', data=data) plt.title(f'Correlation: {correlation:.2f}') plt.xlabel('Lactobacilli Distribution') plt.ylabel('VHI Scores') plt.show()