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Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
Published on: January 21, 2020
Prevalence and risk indicators for severe periodontitis in Côte d'Ivoire
Nadin Thérèse Koffi-Coulibaly1, Zocko Ange Désiré Pockpa1, Gnaba Samson Mobio1
1Department of Periodontology, Dental College, Felix Houphouet Boigny University, Cote d'Ivoire.
Background:
The present study evaluated the prevalence of severe periodontitis (SP) and determined the possible relevant risk factors among patients referred to the Periodontology Department at the Dental Care Center of the Odontostomatology Training and Research Unit of Abidjan, in Côte d'Ivoire.
Methods:
This retrospective observational study was based on 1087 patients data aged 18‒80 years, who were treated in the periodontology department from December 2008 to December 2018. Severe periodontitis (stages III or IV) was defined as interdental clinical attachment loss (CAL)>5 mm at two non-adjacent teeth. Two groups were considered: patients with severe periodontitis (test) or without severe periodontitis (control). Differences between the two groups were tested using the chi-squared test and ANOVA. Furthermore, logistic regression analysis was used to model the relationship between the severity of periodontitis and covariables as potential risk indicators.
Results:
43.4% of patients had severe periodontitis with a mean CAL of 6.89 mm. SP was associated with age (P=0.004), socioeconomic status (P=0.005), smoking habits (P=0.000), brushing frequency (P=0.000), the number of mobile teeth (P<0.001), and the number of lost teeth (P<0.001). Logistic regression analysis showed that having at least five mobile teeth (OR= 4.11, 95% CI: 2.95‒5.73) and/or five missing teeth (OR=2.60, 95% CI: 1.85‒3.66) were independent risk indicators for severe periodontal disease.
Conclusion:
This Ivorian sample presented a high prevalence of severe periodontal diseases. Therefore, proper public health measures would allow early detection, with targeted and effective treatment of the Ivorian population.
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