Objectives: Silver diamine fluoride (SDF) is a nonsurgical therapy for the arrest and prevention of dental caries with demonstrated clinical efficacy. Approximately 20% of children receiving SDF fail to respond to treatment. The objective of this study was to develop a predictive model of treatment non-response using machine learning.
Methods: An observational pilot study (N = 20) consisting of children with and without active decay and who did and did not respond to silver diamine fluoride provided salivary samples and plaque from infected and contralateral sites. 16S rRNA genes from samples were amplified and sequenced on an Illumina Miseq and analyzed using QIIME. The association between operational taxonomic units and treatment non-response was assessed using lasso regression and artificial neural networks.
Results: Bivariate group comparisons of bacterial abundance indicate a number of genera were significantly different between non-responders and those who responded to SDF therapy. No differences were found between non-responders and caries-active subjects. Prevotella pallens and Veillonella denticariosi were retained in full lasso models and combined with clinical variables in a six-input multilayer perceptron.
Discussion: The acidogenic and acid-tolerant nature of retained bacterial species may overcome the antimicrobial effects of SDF. Further research to validate the model in larger external samples is needed.
Introduction: Parents of children treated under dental general anaesthesia (DGA) have reported feelings of concern and anxiety. This study elicited the views of parents/carers (P/C) of children with early childhood caries (ECC) who participated in a randomised trial (core study) which tested the effectiveness of care under DGA or care using alternative minimally invasive Atraumatic Restorative Treatment and the Hall Technique approaches (ART/HT).
Methods: P/C of children treated using the ART/HT (test) approach or care under a DGA (control) were interviewed. Focus group semi-structured interviews with P/C were undertaken in community facilities. The transcripts were read and inductively coded into domains to identify emergent themes. The codes were entered into NVivo software to assist data management and were further refined into broad themes.
Results: Seven grouped interviews with 14 participants were conducted and one test participant provided a written response. Four groups with eight test participants; two groups with four control participants; and one combined group with one test and one control participant were interviewed. Five broad themes emerged after thematic analysis: (1) Impacts on the child and the family; (2) Child-/family-centred care; (3) Timeliness of care; (4) Affordable care; (5) Accessible care. Impacts were related to that of the effects of the disease, and of the care for the disease. Child-centred/family-centred care (CCC) was a source of appreciation by P/C of both groups when it was experienced. Frustration at the lack of timely care of their child's treatment needs, coupled with the perceived expensiveness of care and difficulties in physically getting to the location for a specialist consultation was expressed by P/Cs in the study.
Discussion: The use of the ART/HT enabled the establishment of a relationship between the clinical team and the child and P/C which was central to the delivery of CCC. P/Cs in the DGA arm of the study expressed dissatisfaction more often with the issues of timely care, cost of care and accessibility of care. P/C of both groups were equally satisfied with the treatment, where treatment had been received in a timely, child-centred manner.
Conclusion: The findings suggest that minimally invasive approaches which facilitated CCC are acceptable alternative options to the DGA and should be considered for the management of ECC.
Australian New Zealand Clinical Trials Registry: ACTRN12616001124426.