Prevalence of self-reported versus diagnosed dentinal hypersensitivity: a cross-sectional study and ROC curve analysis
DOI:
https://doi.org/10.1080/00016357.2018.1536804Keywords:
Dentine hypersensitivity, prevalence, etiology, ROC curveAbstract
Objective: This study aimed to identify and compare the self-reported and diagnosed prevalence of dentinal hypersensitivity (DH) in an University population; and to verify accuracy, sensitivity and specificity of DH stimuli tests.
Material and methods: Three hundred and eighty patients (67.2% women and 32.8% men) were assessed by questionnaire, clinical exam, tactile and cold water tests. The intensity of DH was assessed using a visual analogue scale, and a calibrated examiner measured the scores using a caliper. The ICC for intra-examiner was 0.990. Scores above 5 mm were considered sensitive teeth. The association between variables was assessed by Chi-square test. ROC curve analysis determined accuracy, sensitivity and specificity of the tests (p < .05).
Results: The mean age of participants was 24.08 years. 158 (41.7%) volunteers self-reported the presence of DH, while, 88.7% of the participants were clinically diagnosed (p = .023). In total, 8958 teeth were evaluated, of those 3367 (37.6%) were diagnosed sensitive. The most prevalent teeth with DH were incisors and premolars. The accuracy of the tests with cold water and tactile were 99%. The sensitivity and specificity for cold water and tactile tests were 99.9%, 99.7%, 99.1% and 87.6%, respectively.
Conclusion: The self-reported prevalence of DH was significantly lower than that clinically diagnosed. The cold test proved to be a highly accurate stimulus for the diagnosis of DH.
Acta Odontologica Scandinavica publishes original research papers as well as critical reviews relevant to the diagnosis, epidemiology, health service, prevention, aetiology, pathogenesis, pathology, physiology, microbiology, development and treatment of diseases affecting tissues of the oral cavity and associated structures including papers on cause and effect or explanatory/associative relationships for experimental or observational studies.