Mining Electronic Dental Records to Identify Dry Socket Risk Factors

Seth A. Levitin; In Cheol Jeong; Joseph Finkelstein

doi:10.3233/SHTI190085

Mining Electronic Dental Records to Identify Dry Socket Risk Factors

Seth A. Levitin, In Cheol Jeong, Joseph Finkelstein

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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% CI:1.02-1.95), cancer (OR=2.6; 95% CI:1.13-5.83), and frequent mouth sores (OR=1.9; 95% CI:1.09-3.33). 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.

Original language	English
Title of host publication	Health Informatics Vision
Subtitle of host publication	From Data via Information to Knowledge
Editors	John Mantas, Arie Hasman, Parisis Gallos, Aikaterini Kolokathi, Mowafa S. Househ, Joseph Liaskos
Publisher	IOS Press
Pages	328-331
Number of pages	4
ISBN (Electronic)	9781614999867
DOIs	https://doi.org/10.3233/SHTI190085
State	Published - 2019

Publication series

Name	Studies in Health Technology and Informatics
Volume	262
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Keywords

Case-control study
Dry sockets
Electronic dental record

Access to Document

10.3233/SHTI190085

Cite this

Levitin, S. A., Jeong, I. C., & Finkelstein, J. (2019). Mining Electronic Dental Records to Identify Dry Socket Risk Factors. In J. Mantas, A. Hasman, P. Gallos, A. Kolokathi, M. S. Househ, & J. Liaskos (Eds.), Health Informatics Vision: From Data via Information to Knowledge (pp. 328-331). (Studies in Health Technology and Informatics; Vol. 262). IOS Press. https://doi.org/10.3233/SHTI190085

Levitin, Seth A. ; Jeong, In Cheol ; Finkelstein, Joseph. / Mining Electronic Dental Records to Identify Dry Socket Risk Factors. Health Informatics Vision: From Data via Information to Knowledge. editor / John Mantas ; Arie Hasman ; Parisis Gallos ; Aikaterini Kolokathi ; Mowafa S. Househ ; Joseph Liaskos. IOS Press, 2019. pp. 328-331 (Studies in Health Technology and Informatics).

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title = "Mining Electronic Dental Records to Identify Dry Socket Risk Factors",

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% CI:1.02-1.95), cancer (OR=2.6; 95% CI:1.13-5.83), and frequent mouth sores (OR=1.9; 95% CI:1.09-3.33). 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.",

keywords = "Case-control study, Dry sockets, Electronic dental record",

author = "Levitin, {Seth A.} and Jeong, {In Cheol} and Joseph Finkelstein",

year = "2019",

doi = "10.3233/SHTI190085",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

pages = "328--331",

editor = "John Mantas and Arie Hasman and Parisis Gallos and Aikaterini Kolokathi and Househ, {Mowafa S.} and Joseph Liaskos",

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Levitin, SA, Jeong, IC & Finkelstein, J 2019, Mining Electronic Dental Records to Identify Dry Socket Risk Factors. in J Mantas, A Hasman, P Gallos, A Kolokathi, MS Househ & J Liaskos (eds), Health Informatics Vision: From Data via Information to Knowledge. Studies in Health Technology and Informatics, vol. 262, IOS Press, pp. 328-331. https://doi.org/10.3233/SHTI190085

Mining Electronic Dental Records to Identify Dry Socket Risk Factors. / Levitin, Seth A.; Jeong, In Cheol; Finkelstein, Joseph.
Health Informatics Vision: From Data via Information to Knowledge. ed. / John Mantas; Arie Hasman; Parisis Gallos; Aikaterini Kolokathi; Mowafa S. Househ; Joseph Liaskos. IOS Press, 2019. p. 328-331 (Studies in Health Technology and Informatics; Vol. 262).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Finkelstein, Joseph

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AB - 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% CI:1.02-1.95), cancer (OR=2.6; 95% CI:1.13-5.83), and frequent mouth sores (OR=1.9; 95% CI:1.09-3.33). 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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PB - IOS Press

ER -

Mining Electronic Dental Records to Identify Dry Socket Risk Factors

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