Multimorbid disease trajectories for people with periodontitis.

Aim: Periodontitis is a multifactorial condition linked to increased risk of systemic diseases. This study aimed to identify disease trajectories of people with periodontitis using the process mining technique as a heuristic approach. Materials and methods: A total of 188,863 participants from the U...

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Publicado en:Journal of Clinical Periodontology Vol. 48; no. 12; pp. 1587 - 1597
Autores principales: Larvin, Harriet, Kang, Jing, Aggarwal, Vishal R., Pavitt, Sue, Wu, Jianhua
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell Dec2021
Acceso en línea:Ver este registro en EBSCOhost
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        03036979
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      jtl: Journal of Clinical Periodontology
      issn: 03036979
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      dt: Dec2021
      vid: 48
      iid: 12
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        153674793
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        153674793
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        10.1111/jcpe.13536
        153674793
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        atl: Multimorbid disease trajectories for people with periodontitis.
      aug:
        au:
          Larvin, Harriet
          Kang, Jing
          Aggarwal, Vishal R.
          Pavitt, Sue
          Wu, Jianhua
        affil: School of Dentistry, University of Leeds, Leeds, UK
      sug:
        subj:
          Periodontitis
          Disease Progression Risk Factors
          Noncommunicable Diseases Risk Factors
          Comorbidity Risk Factors
          Noncommunicable Diseases Epidemiology
          Comorbidity Epidemiology
          Noncommunicable Diseases Mortality
          Risk Assessment
          Human
          United Kingdom
          Self Report
          Oral Health
          Relative Risk
          Cox Proportional Hazards Model
          Matched Case Control
          Confidence Intervals
          Cardiovascular Diseases
          Depression
          Descriptive Statistics
      ab: Aim: Periodontitis is a multifactorial condition linked to increased risk of systemic diseases. This study aimed to identify disease trajectories of people with periodontitis using the process mining technique as a heuristic approach. Materials and methods: A total of 188,863 participants from the UK Biobank cohort were included. Self‐reported oral health indicators (bleeding gums, painful gums, loose teeth) were surrogates for periodontitis at baseline. Systemic disease diagnoses and dates formed the process mining event log. Relative risk (RR) of systemic diseases, disease trajectories, and Cox proportional hazard ratio models for mortality were compared to age‐ and sex‐matched controls who did not report a history of periodontitis. Results: Participants with loose teeth had shorter median time to most systemic diseases, and crude RR was increased for several diseases including cardiovascular disease (crude RR: 1.15, 95% CI: 1.03–1.28), hypertension (crude RR: 1.14, 95% CI: 1.05–1.24), and depression (crude RR: 1.33, 95% CI: 1.09–1.61). Participants with loose teeth had increased RR for 20 disease trajectories, though these were not significant after adjustments. Participants with bleeding/painful gums had similar disease trajectories as those of matched controls. Conclusions: Self‐reported periodontitis may be associated with early and frequent multimorbidity development, though further evidence is required to confirm this hypothesis. People with periodontitis should be informed of the risks of disease progression and be targeted in prevention initiatives.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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