Deep Sedation for Dental Care Management in Healthy and Special Health Care Needs Children: A Retrospective Study

The use of general anesthesia for dental treatment of children with special healthcare needs in Alberta, Canada

BACKGROUND

Children with special healthcare needs (SHCN) often require specialized interventions due to their disabilities. Dental general anesthesia (DGA) is a treatment modality, which improves their access to care but concerns about repeated DGAs persist.

AIM

This study investigated DGA utilization in children with SHCN and identified factors associated with multiple DGAs in Alberta, Canada (2010-2020).

DESIGN

This retrospective population-based study used administrative data encompassing all children (<18 years) undergoing DGA in publicly funded facilities. Children were identified as SHCN based on their diagnosis codes and categorized into behavioral/psychiatric disorders, mental/intellectual disabilities, physical disabilities, systemic conditions, syndromes/congenital anomalies, physical-mental disabilities, and disabilities with medical conditions.

RESULTS

This study analyzed 3884 DGA visits for children with SHCN, predominantly males aged 6-11 and from low-income families. Mental/intellectual disabilities were prevalent (31.8%), and autism was the leading disease. Caries was the primary dental diagnosis across all groups, whereas pulp problems were higher in psychiatric/behavioral disorders (23.6%), and periodontal problems were more common in physical-mental disabilities (13.2%). 28.7% had multiple DGAs, with younger age, disabilities with medical conditions, mental/intellectual disabilities, and initial pulp treatments, increasing the likelihood of multiple DGAs.

CONCLUSION

This study highlights the importance of individualized prevention and less conservative treatments for younger children to reduce oral health disparities.

Do Preventive Programs Reduce the Need for New Sedations for the Treatment of Oral Pathologies in Healthy and Special Health Care Needs Children?

Background: The goal is to analyze the need for reinterventions under deep sedation to treat oral pathologies in a population of children with special health care needs (SHCNs) and healthy children who followed a prevention program and to study the influence of parental motivation and child collaboration on the need for reinterventions under deep sedation. Methods: A retrospective study was carried out in a private clinic in Cartagena (Murcia, Spain), with patients treated under deep sedation from 2006 to 2018, both years included, following the Strobe statement. Results: In this study with 230 children who were treated under deep sedation, 23.92% underwent two or more sedations. The mean time elapsed between the first and the second sedations was 21.64 ± 15.87 months, and the main cause for reinterventions was the occurrence of new pathologies. Significantly more pulp treatments were performed in the first sedation than in the second (p = 0.013) and in the third (p = 0.007). Healthy children required fewer reinterventions under deep sedation than children with special needs (6.42% vs. 39.67%). Similarly, patients who followed the preventive program and required some type of dental treatment were reoperated fewer times than those who did not follow the preventive program (35.8 vs. 50%); than "cooperative" children as opposed to "non-cooperative" (12.12% vs. 60.93%) and than patients with "motivated" parents as opposed to those with "non-motivated" parents (20.83% vs. 46.34%). A total of 50% of the children who participated in the preventive program became "cooperative", and 100% were able to receive some treatment in the dental chair. Conclusions: Prevention programs, including motivational interviewing, are essential to improve children's behavior in the dental chair and reduce the need for reinterventions under general anesthesia or deep sedation. Although patients with special needs do require more sedation during their lifetime due to their inability to cooperate, these programs are necessary for the maintenance of oral health status and for the early diagnosis of caries lesions. Pediatric dentists should implement a quarterly preventive program because it improves patient collaboration. It is essential to achieve the motivation of parents in the oral care of their children.

ORIENTATE: automated machine learning classifiers for oral health prediction and research

BACKGROUND

The application of data-driven methods is expected to play an increasingly important role in healthcare. However, a lack of personnel with the necessary skills to develop these models and interpret its output is preventing a wider adoption of these methods. To address this gap, we introduce and describe ORIENTATE, a software for automated application of machine learning classification algorithms by clinical practitioners lacking specific technical skills. ORIENTATE allows the selection of features and the target variable, then automatically generates a number of classification models and cross-validates them, finding the best model and evaluating it. It also implements a custom feature selection algorithm for systematic searches of the best combination of predictors for a given target variable. Finally, it outputs a comprehensive report with graphs that facilitates the explanation of the classification model results, using global interpretation methods, and an interface for the prediction of new input samples. Feature relevance and interaction plots provided by ORIENTATE allow to use it for statistical inference, which can replace and/or complement classical statistical studies.

RESULTS

Its application to a dataset with healthy and special health care needs (SHCN) children, treated under deep sedation, was discussed as case study. On the example dataset, despite its small size, the feature selection algorithm found a set of features able to predict the need for a second sedation with a f1 score of 0.83 and a ROC (AUC) of 0.92. Eight predictive factors for both populations were found and ordered by the relevance assigned to them by the model. A discussion of how to derive inferences from the relevance and interaction plots and a comparison with a classical study is also provided.

CONCLUSIONS

ORIENTATE automatically finds suitable features and generates accurate classifiers which can be used in preventive tasks. In addition, researchers without specific skills on data methods can use it for the application of machine learning classification and as a complement to classical studies for inferential analysis of features. In the case study, a high prediction accuracy for a second sedation in SHCN children was achieved. The analysis of the relevance of the features showed that the number of teeth with pulpar treatments at the first sedation is a predictive factor for a second sedation.

General Anesthesia in Early Childhood Significantly Reduces Asthma Incidence and Clinical Visits: A Nationwide Population-Based Cohort Study

Few studies have focused on the consequence of exposure to general anesthesia (GA) in children’s early life with the risk of asthma and disease outcomes. The present study examines the correlation between exposure to GA under three years old and the subsequent course of asthma in a nationwide population-based cohort study. Our cases were acquired from Taiwan’s National Health Insurance Research Database (NHIRD). Children under three years old with either GA exposure or not during in-patient treatment from 1997 to 2008 were included. The study group was age- and sex-matched with a ratio of 1:2 to create the control group for comparison. The cohort included 2261 cases with GA and 4522 cases without GA as a control group. The incidence of asthma onset was significantly reduced in patients with GA exposure under 3 three years old (hazard ratio 0.64 (95% confidence interval 0.57~0.72), p < 0.001). In addition, regardless of whether the asthmatic clinical visits were before or after GA exposure, asthma onset patients before GA exposure have significantly fewer clinical visits than those without GA exposure (both p < 0.001, respectively). Using the Kaplan–Meier method, we also demonstrated that GA exposure was associated with favorable clinical visits in patients with asthma, whether their asthma was onset before GA (p = 0.0102) or after GA exposure (p = 0.0418) compared to non-GA-exposed controls. In the present study, we demonstrated that children with early GA exposure under three years old were at a reduced risk of developing asthma compared to the general population. Furthermore, we first reported that GA exposure significantly reduced clinical visits in patients with asthma regardless of whether their asthma onset was before or after GA exposure. It is indicated that GA exposure at a younger age could have potential clinical benefits for asthma than non-GA-exposed controls.