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Mining Electronic Dental Records to Identify Dry Socket Risk Factors.
Levitin, Seth A; Jeong, In Cheol; Finkelstein, Joseph.
Afiliação
  • Levitin SA; Columbia University College of Dental Medicine, New York, NY, USA.
  • Jeong IC; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Finkelstein J; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stud Health Technol Inform ; 262: 328-331, 2019 Jul 04.
Article em En | MEDLINE | ID: mdl-31349334
ABSTRACT
The goal of this study was to investigate risk factors for developing dry sockets in patients after dental extractions. Data were collected directly from electronic dental records (EDR) and were utilized for selecting dry socket cases and controls to conduct a nested case-control study. Case-control matching was based on sex, age range, maxilla-mandible location, and anterior-posterior location. From 83 self-reported health survey questions, 7 questions were found to have predictive potential based on a significant chi-squared test. Stepwise conditional logistic regression showed a statistically significant association between the development of dry socket and a history of serious illness (OR=1.4; 95% CI1.02-1.95), cancer (OR=2.6; 95% CI1.13-5.83), and frequent mouth sores (OR=1.9; 95% CI1.09-3.33). These results corroborated previous reports on potential involvement of impaired immune response in dry socket development. EDR may be an important source for uncovering predictive factors that play a role in prevention and management of oral health.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Odontológicos / Alvéolo Seco / Mineração de Dados Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Odontológicos / Alvéolo Seco / Mineração de Dados Idioma: En Ano de publicação: 2019 Tipo de documento: Article