Aim: The aim of this study was to recognize and assess the prognostic factors which could predict the level of cooperation of children with autism for dental appointments.
Methods: A total of 395 parents of children with autism participated in this study. Prognostic factors of cooperation were evaluated using questionnaires. Data were collected using parent surveys by a dentist.
Statistical Analysis: Statistical analyses used in the present study include the formation one way and two-way frequency tables, binomial tests, Pearson's Chi-squared tests, Fisher's exact test, and collation of multiple proportions tests.
Results: Autistic children meeting their own needs, cooperation for nail-clipping and haircuts, smiling frequently, using toothbrushes and toothpaste and being assisted by parents for toothbrushing, and children who brushed their teeth once a day were more cooperative with the dentist. Children who had thumb-sucking and nail-biting habits were cooperative with the dentist. Children who bit their hands appeared to be more cooperative with the dentist when compared to other self-inflicting habits.
Conclusion: This study identified "prognostic factors" such as their cooperative ability during nail clipping, hair cutting, and ability to read, write, and meet their own needs that are answered by a parent and that may show a child's cooperative potential.
How To Cite This Article: Chamarthi VR, Arangannal P. Prognostic Factors for Successful Dental Treatment in Autistic Children and Adolescents. Int J Clin Pediatr Dent 2023;16(S-1):S45-S50.
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http://dx.doi.org/10.5005/jp-journals-10005-2607 | DOI Listing |
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Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
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