Early Tooth Loss after Periodontal Diagnosis: Development and Validation of a Clinical Decision Model
| Autor: | Luís Proença, Frederico Beato, Francisco Prado Eugenio dos Santos, João Botelho, Vanessa Machado, José João Mendes |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Health Toxicology and Mutagenesis periodontal disease Dentistry lcsh:Medicine Article Cohort Studies predictive model 03 medical and health sciences Tooth Loss 0302 clinical medicine early tooth loss Epidemiology Tooth loss Medicine Humans risk factors periodontitis 030304 developmental biology Periodontitis 0303 health sciences Early tooth loss business.industry allergology public health lcsh:R Public Health Environmental and Occupational Health Area under the curve 030206 dentistry medicine.disease Confidence interval Clinical attachment loss Cohort oral health epidemiology medicine.symptom business |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 18, Iss 1363, p 1363 (2021) International Journal of Environmental Research and Public Health Volume 18 Issue 3 |
| ISSN: | 1661-7827 1660-4601 |
| Popis: | The aim of this study was to develop and validate a predictive early tooth loss multivariable model for periodontitis patients before periodontal treatment. A total of 544 patients seeking periodontal care at a university dental hospital were enrolled in the study. Teeth extracted after periodontal diagnosis and due to periodontal reasons were recorded. Clinical and sociodemographic variables were analyzed, considering the risk of short-term tooth loss. This study followed the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines for development and validation, with two cohorts considered as follows: 455 patients in the development phase and 99 in the validation phase. As a result, it was possible to compute a predictive model based on tooth type and clinical attachment loss. The model explained 25.3% of the total variability and correctly ranked 98.9% of the cases. The final reduced model area under the curve (AUC) was 0.809 (95% Confidence Interval (95% CI): 0.629 - 0.989) for the validation sample and 0.920 (95% CI: 0.891 - 0.950) for the development cohort. The established model presented adequate prediction potential of early tooth loss due to periodontitis. This model may have clinical and epidemiologic relevance towards the prediction of tooth loss burden. |
| Databáze: | OpenAIRE |
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