Mapping sequential patterns of periodontal breakdo using longitudinal electronic health records data.
Objective: To identify probabilistic, sequential patterns of periodontal breakdown using sequential pattern mining (SPM) on a large longitudinal cohort. Method and materials: Electronic health records from 19,428 patients with periodontitis (20112022) were analyzed. A custom SPM algorithm was develo...
| Publicado en: | Quintessence International Vol. 57; no. 5; pp. 378 - 389 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Quintessence Publishing Company Inc.
May2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195826459&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195826459 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00336572 ILW jtl: Quintessence International issn: 00336572 maglogo: N pubinfo: dt: May2026 vid: 57 iid: 5 pid: 1935 pub: Quintessence Publishing Company Inc. place: Batavia, Illinois artinfo: ui: 195826459 195826459 195826459 10.3290/j.qi.b6961701 195826459 ppf: 378 ppct: 11 formats: tig: atl: Mapping sequential patterns of periodontal breakdo using longitudinal electronic health records data. aug: au: Chatzopoulos, Georgios S. Wolff, Larry F. affil: Associate Professor, Department of Developmental and Surgical Sciences, Division of Periodontology, School of Dentistry, University of Minnesota, Minneapolis, MN, USA sug: subj: Algorithms Data Mining Methods Electronic Health Records Periodontal Diseases Diagnosis Disease Progression Human United States Data Analysis, Statistical Retrospective Design Record Review Prospective Studies Descriptive Statistics Biomechanics Mandible Physiology Tooth Mobility Furcation Defects Incisor Cuspid Inflammation Hemorrhage ab: Objective: To identify probabilistic, sequential patterns of periodontal breakdown using sequential pattern mining (SPM) on a large longitudinal cohort. Method and materials: Electronic health records from 19,428 patients with periodontitis (20112022) were analyzed. A custom SPM algorithm was developed to identify frequent temporal subsequences of tooth mobility and furcation involvement, enforcing strict temporal precedence. "High-risk" states (eg, generalized clinical attachment loss [CAL] > 3.0 mm) were evaluated as precursors to localized failure. Association rules were ranked by confidence (conditional probability). Results: The analysis revealed distinct biomechanical cascading patterns. In the mandibular anterior sextant, mobility in the central incisors was a strong probabilistic precursor to subsequent failure in the lateral incisors and canines (confidence 7.3%). Asignificant "antagonistic cascade" was identified, where mandibular incisor mobility preceded maxillary incisor instability (confidence 8.1%). For molars, furcation involvement acted as a specific temporal sentinel for future mobility (confidence ~5% to 6%). Generalized high CAL was the strongest predictor of localized failure (confidence 18.9%), significantly outperforming active inflammation (bleeding on probing) as a driver of mechanical instability. Conclusion: Progressive biomechanical compromise (such as tooth mobility and advanced furcation involvement) follows predictable, probabilistic sequential patterns. The identification of specific "sentinel events," such as mandibular incisor mobility and molar furcation involvement, allows for a shift from reactive site-by-site management to predictive intervention. Clinical relevance: These findings underscore the critical role of generalized attachment loss in driving localized mechanical failure cascades. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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