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Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort

BACKGROUND: Mounting evidence indicates potential associations between poor oral health status (OHS) and increased pneumonia risk. Relative pneumonia risk was assessed in the context of longitudinally documented OHS. METHODS: Electronic medical/dental patient data captured from 2007 through 2019 wer...

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Autores principales: Berg, Richard L., Glurich, Ingrid, Panny, Aloksagar, Scannapieco, Frank A., Miecznikowski, Jeffrey, VanWormer, Jeffrey, Acharya, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690969/
https://www.ncbi.nlm.nih.gov/pubmed/38041050
http://dx.doi.org/10.1186/s12903-023-03629-0
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author Berg, Richard L.
Glurich, Ingrid
Panny, Aloksagar
Scannapieco, Frank A.
Miecznikowski, Jeffrey
VanWormer, Jeffrey
Acharya, Amit
author_facet Berg, Richard L.
Glurich, Ingrid
Panny, Aloksagar
Scannapieco, Frank A.
Miecznikowski, Jeffrey
VanWormer, Jeffrey
Acharya, Amit
author_sort Berg, Richard L.
collection PubMed
description BACKGROUND: Mounting evidence indicates potential associations between poor oral health status (OHS) and increased pneumonia risk. Relative pneumonia risk was assessed in the context of longitudinally documented OHS. METHODS: Electronic medical/dental patient data captured from 2007 through 2019 were retrieved from the integrated health records of Marshfield Clinic Health Systems. Participant eligibility initiated with an assessment of OHS, stratified into the best, moderate, or worst OHS groups, with the additional criterion of ‘no pneumonia diagnosis in the past 90 days’. Pneumonia incidence was longitudinally monitored for up to 1 year from each qualifying dental visit. Models were assessed, with and without adjustment for prior pneumonia incidence, adjusted for smoking and subjected to confounding mitigation attributable to known pneumonia risk factors by applying propensity score analysis. Time-to-event analysis and proportional hazard modeling were applied to investigate relative pneumonia risk over time among the OHS groups. RESULTS: Modeling identified associations between any incident pneumonia subtype and ‘number of missing teeth’ (p < 0.001) and ‘clinically assessed periodontal status’ (p < 0.01), which remained significant following adjustment for prior pneumonia incidence and smoking. The hazard ratio (HR) for ‘any incident pneumonia’ in the best OHS group for ‘number of missing teeth’ was 0.65, 95% confidence interval (CI) [0.54 − 0.79] (unadjusted) and 0.744, 95% CI [0.61 − 0.91] (adjusted). The HR for ‘any incident pneumonia’ in the best ‘clinically assessed periodontal status’ group was 0.72, 95% CI [0.58 − 0.90] (unadjusted) and 0.78, 95% CI [0.62 − 0.97] (adjusted). CONCLUSION/CLINICAL RELEVANCE: Poor OHS increased pneumonia risk. Proactive attention of medical providers to patient OHS and health literacy surrounding oral-systemic disease association is vital, especially in high-risk populations.
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spelling pubmed-106909692023-12-02 Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort Berg, Richard L. Glurich, Ingrid Panny, Aloksagar Scannapieco, Frank A. Miecznikowski, Jeffrey VanWormer, Jeffrey Acharya, Amit BMC Oral Health Research BACKGROUND: Mounting evidence indicates potential associations between poor oral health status (OHS) and increased pneumonia risk. Relative pneumonia risk was assessed in the context of longitudinally documented OHS. METHODS: Electronic medical/dental patient data captured from 2007 through 2019 were retrieved from the integrated health records of Marshfield Clinic Health Systems. Participant eligibility initiated with an assessment of OHS, stratified into the best, moderate, or worst OHS groups, with the additional criterion of ‘no pneumonia diagnosis in the past 90 days’. Pneumonia incidence was longitudinally monitored for up to 1 year from each qualifying dental visit. Models were assessed, with and without adjustment for prior pneumonia incidence, adjusted for smoking and subjected to confounding mitigation attributable to known pneumonia risk factors by applying propensity score analysis. Time-to-event analysis and proportional hazard modeling were applied to investigate relative pneumonia risk over time among the OHS groups. RESULTS: Modeling identified associations between any incident pneumonia subtype and ‘number of missing teeth’ (p < 0.001) and ‘clinically assessed periodontal status’ (p < 0.01), which remained significant following adjustment for prior pneumonia incidence and smoking. The hazard ratio (HR) for ‘any incident pneumonia’ in the best OHS group for ‘number of missing teeth’ was 0.65, 95% confidence interval (CI) [0.54 − 0.79] (unadjusted) and 0.744, 95% CI [0.61 − 0.91] (adjusted). The HR for ‘any incident pneumonia’ in the best ‘clinically assessed periodontal status’ group was 0.72, 95% CI [0.58 − 0.90] (unadjusted) and 0.78, 95% CI [0.62 − 0.97] (adjusted). CONCLUSION/CLINICAL RELEVANCE: Poor OHS increased pneumonia risk. Proactive attention of medical providers to patient OHS and health literacy surrounding oral-systemic disease association is vital, especially in high-risk populations. BioMed Central 2023-12-01 /pmc/articles/PMC10690969/ /pubmed/38041050 http://dx.doi.org/10.1186/s12903-023-03629-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Berg, Richard L.
Glurich, Ingrid
Panny, Aloksagar
Scannapieco, Frank A.
Miecznikowski, Jeffrey
VanWormer, Jeffrey
Acharya, Amit
Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort
title Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort
title_full Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort
title_fullStr Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort
title_full_unstemmed Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort
title_short Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort
title_sort modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690969/
https://www.ncbi.nlm.nih.gov/pubmed/38041050
http://dx.doi.org/10.1186/s12903-023-03629-0
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