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Caries prevalence and experience in individuals with osteogenesis imperfecta: A cross‐sectional multicenter study
Author(s) -
Ma Mang Shin,
Najirad Mohammadamin,
Taqi Doaa,
Retrouvey JeanMarc,
Tamimi Faleh,
Dagdeviren Didem,
Glorieux Francis H.,
Lee Brendan,
Sutton Ver Reid,
Rauch Frank,
Esfandiari Shahrokh
Publication year - 2019
Publication title -
special care in dentistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.328
H-Index - 41
eISSN - 1754-4505
pISSN - 0275-1879
DOI - 10.1111/scd.12368
Subject(s) - medicine , dentinogenesis imperfecta , osteogenesis imperfecta , hypodontia , logistic regression , dentistry , cross sectional study , population , analysis of variance , environmental health , pathology
Objective Dentinogenesis Imperfecta (DI) forms a group of dental abnormalities frequently found associated with Osteogenesis Imperfecta (OI), a hereditary disease characterized by bone fragility. The objectives of this study were to quantify the dental caries prevalence and experience among different OI‐types in the sample population and quantify how much these values change for the subset with DI. Methods To determine which clinical characteristics were associated with increased Caries Prevalence and Experience (CPE) in patients with OI, the adjusted DFT scores were used to account for frequent hypodontia, impacted teeth and retained teeth in OI population. For each variable measured, frequency distributions, means, proportions and standard deviations were generated. Groups means were analyzed by the unpaired t ‐test or ANOVA as appropriate. For multivariate analysis, subjects with caries experience of zero were compared with those with caries experience greater than zero using logistic regression. Results The stepwise regression analysis while controlling for all other variables demonstrated the presence of DI (OR 2.43; CI 1.37‐4.32; P = 0.002) as the significant independent predictor of CPE in the final model. Conclusion This study found no evidence that CPE of OI subjects differs between the types of OI. The presence of DI when controlled for other factors was found to be the significant predictor of CPE.