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Chau RCW, Cheng ACC, Mao K, Thu KM, Ling Z, Tew IM, Chang TH, Tan HJ, McGrath C, Lo WL, Hsung RTC, Lam WYH. External Validation of an AI mHealth Tool for Gingivitis Detection among Older Adults at Daycare Centers: A Pilot Study. Int Dent J 2025:S0020-6539(25)00014-0. [PMID: 39864975 DOI: 10.1016/j.identj.2025.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 01/06/2025] [Accepted: 01/06/2025] [Indexed: 01/28/2025] Open
Abstract
OBJECTIVES Periodontal disease is a significant public health concern among older adults due to its relationship with tooth loss and systemic health disease. However, there are numerous barriers that prevent older adults from receiving routine dental care, highlighting the need for innovative screening tools at the community level. This pilot study aimed first, to evaluate the accuracy of GumAI, a new mHealth tool that uses AI and smartphones to detect gingivitis, and the user acceptance of personalized oral hygiene instructions provided through the new tool, among older adults in day-care community centers. METHODS Participants were invited from 3 day-care community centers. Intraoral photographs were captured and assessed by both GumAI (test) and a panel consisting of 2 calibrated periodontists and a dentist (benchmark). Mean sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and F1 score were calculated to determine GumAI's diagnostic performance in comparison to the benchmark. User acceptance with this tool was assessed using 2 Rasch Theory-based 5-point Likert-type questions. RESULTS 44 participants were recruited out of 80 invited older adults. GumAI demonstrated a sensitivity of 0.93 and specificity of 0.50 compared to the panel's assessments, with a PPV of 0.90 and NPV of 0.56. The accuracy and F1 scores were 0.85 and 0.91, respectively. All participants expressed high acceptance of the process. CONCLUSION GumAI demonstrates high sensitivity, PPV, accuracy, and F1 score compared to the panel's assessments but falls relatively short in specificity and NPV. Despite this, the tool was highly accepted by older adults, indicating its potential to enhance gingivitis detection and oral hygiene management in community settings. Further refinements are necessary to improve specificity and validate usability measures. CLINICAL RELEVANCE This study may pave the way for broader applications of mHealth systems in community settings, enabling greater health coverage and addressing oral health disparities.
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Affiliation(s)
- Reinhard Chun Wang Chau
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Andrew Chi Chung Cheng
- Department of Computer Science, Hong Kong Chu Hai College, Hong Kong Special Administrative Region, China
| | - Kaijing Mao
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Khaing Myat Thu
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Zhaoting Ling
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - In Meei Tew
- Faculty of Dentistry, The National University of Malaysia, Kuala Lumpur, Malaysia
| | - Tien Hsin Chang
- School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, US
| | - Hong Jin Tan
- Eastman Dental Institute, University College London, London, UK
| | - Colman McGrath
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wai-Lun Lo
- Department of Computer Science, Hong Kong Chu Hai College, Hong Kong Special Administrative Region, China
| | - Richard Tai-Chiu Hsung
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Computer Science, Hong Kong Chu Hai College, Hong Kong Special Administrative Region, China.
| | - Walter Yu Hang Lam
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China; Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong Special Administrative Region, China.
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Chou R, Selph SS, Bougatsos C, Nix C, Ahmed A, Griffin J, Schwarz E. Screening, Referral, Behavioral Counseling, and Preventive Interventions for Oral Health in Adults: A Systematic Review for the US Preventive Services Task Force. JAMA 2023; 330:1780-1790. [PMID: 37934490 DOI: 10.1001/jama.2023.20685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Importance Dental caries and periodontal disease are common adult oral health conditions and potentially amenable to primary care screening and prevention. Objective To systematically review the evidence on primary care screening and prevention of dental caries and periodontal disease in adults to inform the US Preventive Services Task Force. Data Sources MEDLINE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews (to October 3, 2022); surveillance through July 21, 2023. Study Selection Diagnostic accuracy studies of primary care screening instruments and oral examination; randomized and nonrandomized trials of screening and preventive interventions; cohort studies on primary care oral health screening and preventive intervention harms. Data Extraction and Synthesis One investigator abstracted data; a second checked accuracy. Two investigators independently rated study quality. Diagnostic accuracy data were pooled using a bivariate mixed-effects binary regression model. Main Outcomes and Measures Dental caries, periodontal disease, morbidity, quality of life, harms; and diagnostic test accuracy. Results Five randomized clinical trials, 5 nonrandomized trials, and 6 observational studies (total 3300 participants) were included. One poor-quality trial (n = 477) found no difference between oral health screening during pregnancy vs no screening in caries, periodontal disease, or birth outcomes. One study (n = 86) found oral health examination by 2 primary care clinicians associated with low sensitivity (0.42 and 0.56) and high specificity (0.84 and 0.87) for periodontal disease and with variable sensitivity (0.33 and 0.83) and high specificity (0.80 and 0.93) for dental caries. Four studies (n = 965) found screening questionnaires associated with a pooled sensitivity of 0.72 (95% CI, 0.57-0.83) and specificity of 0.74 (95% CI, 0.66-0.82) for periodontal disease. For preventive interventions no study evaluated primary care counseling or dental referral, and evidence from 2 poor-quality trials (n = 178) of sealants, and 1 fair-quality and 4 poor-quality trials (n = 971) of topical fluorides, was insufficient. Three fair-quality trials (n = 590) of persons with mean age 72 to 80 years found silver diamine fluoride solution associated with fewer new root caries lesions or fillings vs placebo (mean reduction, -0.33 to -1.3) and decreased likelihood of new root caries lesion (2 trials; adjusted odds ratio, 0.4 [95% CI, 0.3-0.7]). No trial evaluated primary care-administered preventive interventions. Conclusions and Relevance Screening questionnaires were associated with moderate diagnostic accuracy for periodontal disease. Research is needed to determine benefits and harms of oral health primary care screening and preventive interventions.
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Affiliation(s)
- Roger Chou
- Pacific Northwest Evidence-based Practice Center, the Department of Medical Informatics and Clinical Epidemiology; Oregon Health & Science University, Portland
- Division of General Internal Medicine; Oregon Health & Science University, Portland
| | - Shelley S Selph
- Pacific Northwest Evidence-based Practice Center, the Department of Medical Informatics and Clinical Epidemiology; Oregon Health & Science University, Portland
| | - Christina Bougatsos
- Pacific Northwest Evidence-based Practice Center, the Department of Medical Informatics and Clinical Epidemiology; Oregon Health & Science University, Portland
| | - Chad Nix
- School of Medicine; Oregon Health & Science University, Portland
| | - Azrah Ahmed
- Pacific Northwest Evidence-based Practice Center, the Department of Medical Informatics and Clinical Epidemiology; Oregon Health & Science University, Portland
| | - Jessica Griffin
- Pacific Northwest Evidence-based Practice Center, the Department of Medical Informatics and Clinical Epidemiology; Oregon Health & Science University, Portland
| | - Eli Schwarz
- School of Dentistry, Division of Dental Public Health, Oregon Health & Science University, Portland
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Gibson AA, Cox E, Gale J, Craig ME, Eberhard J, King S, Chow CK, Colagiuri S, Nassar N. Oral health status and risk of incident diabetes: a prospective cohort study of 213,389 individuals aged 45 and over. Diabetes Res Clin Pract 2023; 202:110821. [PMID: 37453513 DOI: 10.1016/j.diabres.2023.110821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 05/18/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023]
Abstract
AIMS To examine whether simple measures of oral health are associated with incident diabetes. METHODS This prospective cohort study linked data from the 45 and Up Study, Australia, to administrative health records. The study participants were 213,389 men and women, aged ≥ 45 years, with no diabetes at baseline. The oral health of participants was assessed by questionnaire. Incident diabetes cases were ascertained based on self-report in follow-up questionnaires, linked data on medical and pharmaceutical claims, and hospitalisation data up until 2019. The association between oral health and incident diabetes were calculated using multivariable cox proportional hazards models. RESULTS During 2,232,215 person-years of follow-up, 20,487 (9.6%) participants developed diabetes. Compared with those with ≥20 teeth, the adjusted hazard ratio (aHR) for incident diabetes was 1.12 (95% Confidence Interval (CI): 1.08, 1.17) for 10-19 teeth, 1.20 (1.14, 1.26) for 1-9 teeth and 1.15 (1.09, 1.21) for no teeth. Compared with those with excellent/very good teeth and gums, the aHR for incident diabetes was 1.07 (1.03, 1.12) for fair and 1.13 (1.07, 1.20) for poor teeth and gums. CONCLUSIONS Simple measures of oral health were associated with risk of developing diabetes, demonstrating the potential importance of oral health screening for diabetes prevention.
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Affiliation(s)
- Alice A Gibson
- Menzies Centre for Health Policy and Economics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, NSW, Australia.
| | - Emma Cox
- Menzies Centre for Health Policy and Economics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, NSW, Australia
| | - Joanne Gale
- Menzies Centre for Health Policy and Economics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | - Maria E Craig
- Charles Perkins Centre, The University of Sydney, NSW, Australia; Discipline of Paediatrics & Child Health, School of Clinical Medicine, UNSW Medicine & Health, Sydney, NSW, Australia; Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | - Joerg Eberhard
- Charles Perkins Centre, The University of Sydney, NSW, Australia; Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | - Shalinie King
- Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | - Clara K Chow
- Charles Perkins Centre, The University of Sydney, NSW, Australia; Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Department of Cardiology, Westmead Hospital, NSW, Australia
| | - Stephen Colagiuri
- Charles Perkins Centre, The University of Sydney, NSW, Australia; The Boden Initiative, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | - Natasha Nassar
- Menzies Centre for Health Policy and Economics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, NSW, Australia; Child Population and Translational Health Research, The Children's Hospital at Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
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Gao B, Wu J, Lv K, Shen C, Yao H. Visualized analysis of hotspots and frontiers in diabetes-associated periodontal disease research: a bibliometric study. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:1305. [PMID: 36660670 PMCID: PMC9843370 DOI: 10.21037/atm-22-2443] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 10/14/2022] [Indexed: 12/24/2022]
Abstract
Background Diabetes-associated periodontal disease is caused by diabetes-enhanced host immune-inflammatory responses to bacterial insult. An increasing number of papers related to diabetes-associated periodontal disease have been published. This study analyzed research on diabetes-associated periodontal disease with bibliometrics methods. The objective of this study was to identify hotspots and frontiers in the diabetes-associated periodontal disease research field. Methods Publications were extracted from the Web of Science core collection database, and the document types included were limited to articles and reviews. The bibliometric analysis software CiteSpace5 was used to analyze the number of articles, research fields, countries/regions, institutions, authors, keywords, and other information. Outcomes were visualized to analyze the hotspots and research frontiers of diabetes-associated periodontal disease. Results A total of 3,572 articles were retrieved. Among the research fields, dentistry, oral surgery, and medicine accounted for the highest proportion of publications, and public, environmental, and occupational health had the highest betweenness centrality. The number of publications from the United States ranked first among all the countries, while Columbia University ranked first among all the institutions. Global cooperation was not frequent. Keyword analysis showed that inflammatory pathways were the hotspots. Burst words analysis indicated that early prevention was a research frontier. Conclusions The bibliometric method helped identify research hotspots and frontiers. Inflammatory pathways were hotspots, and early prevention was a frontier in diabetes-associated periodontal disease.
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Leung TJT, Nijland N, Gerdes VEA, Loos BG. Prevalence of Periodontal Disease among Patients at the Outpatient Clinic of Internal Medicine in an Academic Hospital in The Netherlands: A Cross-Sectional Pilot Study. J Clin Med 2022; 11:6018. [PMID: 36294339 PMCID: PMC9605066 DOI: 10.3390/jcm11206018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/28/2022] [Accepted: 10/08/2022] [Indexed: 10/28/2023] Open
Abstract
There is a worldwide increase in individuals suffering ≥2 chronic diseases (multimorbidity), and the cause of combinations of conditions remains largely unclear. This pilot study analysed the prevalence of periodontal disease (PD) among (multi)-morbid patients at the outpatient clinic of internal medicine. PD is an inflammatory disease of the tooth supporting tissues and has a negative impact on the overall health. Data were obtained from 345 patients, on demographics, systemic conditions and presence of PD. The possible differences in the distribution of PD status among patients with/without multimorbidity and Medical Subject Headings (MeSH) disease chapters were explored. In total, 180 (52.2%) patients suffered from multimorbidity. The prevalence of severe PD was 16.2%, while the prevalence of mild and severe PD combined (Total PD) was 53.6%. Patients with disease chapter cardiovascular diseases (CVD) had a significantly higher prevalence of severe PD (odds ratio (OR) 2.33; 95% confidence interval (CI) 1.25, 4.33) and Total PD (OR 1.61; 95% CI 1.04, 2.50) than patients without CVD. After subsequent analyses, myocardial infarction was significantly associated with severe PD (OR: 4.68 (95% CI; 1.27 to 17.25)). Those suffering from multimorbidity showed to have a non-significant increased risk for severe (OR 1.27; 95% CI 0.69, 2.34) or Total PD (OR 1.23; 95% CI 0.81, 1.88). In conclusion, PD is highly prevalent in multimorbidity patients. Furthermore, PD was significantly prevalent in patients with CVD. However, larger epidemiological studies are necessary to confirm that the prevalence of PD is significantly increased among multimorbid patients.
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Affiliation(s)
- Thomas J. T. Leung
- Department of Periodontology, Academic Center for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
| | - Nina Nijland
- Department of Periodontology, Academic Center for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
| | - Victor E. A. Gerdes
- Department of Internal Medicine, Amsterdam University Medical Center (AUMC), 1105 AZ Amsterdam, The Netherlands
- Department of Internal Medicine, Spaarne Gasthuis, 2134 TM Hoofddorp, The Netherlands
| | - Bruno G. Loos
- Department of Periodontology, Academic Center for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
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George A, Poudel P, Kong A, Villarosa A, Calache H, Arora A, Griffiths R, Wong VW, Gussy M, Martin RE, Lau P. Developing and pilot testing an oral health screening tool for diabetes care providers. BMC PRIMARY CARE 2022; 23:202. [PMID: 35948883 PMCID: PMC9367124 DOI: 10.1186/s12875-022-01798-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 07/06/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND People with poorly managed diabetes are at greater risk of periodontal disease. Periodontal disease that is not effectively managed can affect glycaemic levels. Diabetes care providers, including general practitioners and diabetes educators, are encouraged to promote oral health of their clients. However, valid and reliable oral health screening tools that assess the risk of poor oral health, that are easy to administer among non-dental professionals, currently do not exist. Existing screening tools are difficult to incorporate into routine diabetes consultations due to their length. Thus, this study aimed to develop and pilot a short oral health screening tool that would identify risk of existing oral diseases and encourage appropriate referrals to the dental service. METHODS A three-item screening tool was developed after a comprehensive review of the literature and consensus from an expert panel. The tool was then piloted as part of a larger cross-sectional survey of 260 adults with diabetes who were accessing public diabetes clinics at two locations in Sydney, Australia. As part of the survey, participants completed the three-item screening tool and a 14-item validated tool, the Oral Health Impact Profile (OHIP-14), which has been used previously in the preliminary validation of screening tools. Sensitivity and specificity analyses were then undertaken comparing the results of the two tools. RESULTS A statistically significant correlation was found between the shorter screening tool and the OHIP-14 (rho = 0.453, p < 0.001), indicating adequate validity. The three-item tool had high sensitivity (90.5%, 95% CI 84.9%, 94.7%), with a specificity of 46.3% (95% CI 37.7%, 55.2%). The negative predictive value was 81.4% (95% CI 71.3, 89.3). No single item performed as well regarding sensitivity and negative predictive value when compared to the three items collectively. CONCLUSIONS The three-item screening tool developed was found to be valid and sensitive in identifying risk of poor oral health, requiring oral health referrals, among people with diabetes in this pilot. This is a simple, accessible tool that diabetes care providers could incorporate into their routine consultations. Further validation against comprehensive dental assessments is needed to reassess the tool's specificity and sensitivity in diverse settings.
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Affiliation(s)
- Ajesh George
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, NSW, 1871, Australia.
- Ingham Institute for Applied Medical Research, Liverpool, NSW, 1871, Australia.
- School of Dentistry, Faculty of Medicine and Health, The University of Sydney, Surry Hills, NSW, 2010, Australia.
- South Western Sydney Local Health District, Liverpool, NSW, 1871, Australia.
- La Trobe Rural Health School, La Trobe University, Bendigo, VIC, 3552, Australia.
- Translational Health Research Institute, Western Sydney University, Campbelltown, NSW, 2560, Australia.
| | - Prakash Poudel
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, NSW, 1871, Australia
- Ingham Institute for Applied Medical Research, Liverpool, NSW, 1871, Australia
- South Western Sydney Local Health District, Liverpool, NSW, 1871, Australia
| | - Ariana Kong
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, NSW, 1871, Australia
- Ingham Institute for Applied Medical Research, Liverpool, NSW, 1871, Australia
| | - Amy Villarosa
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, NSW, 1871, Australia
- Ingham Institute for Applied Medical Research, Liverpool, NSW, 1871, Australia
| | - Hanny Calache
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, NSW, 1871, Australia
- La Trobe Rural Health School, La Trobe University, Bendigo, VIC, 3552, Australia
- School of Health and Social Development, Faculty of Health, Institute for Health Transformation, Deakin University, Burwood, VIC, 3125, Australia
- Melbourne Dental School, The University of Melbourne, Carlton, VIC, 3053, Australia
| | - Amit Arora
- Translational Health Research Institute, Western Sydney University, Campbelltown, NSW, 2560, Australia
- School of Health Sciences, Western Sydney University, Campbelltown, NSW, 2560, Australia
- Health Equity Laboratory, Campbelltown, NSW, 2560, Australia
- Discipline of Child and Adolescent Health, Sydney Medical School, The University of Sydney, Camperdown, NSW, 2050, Australia
- Sydney Dental Hospital/Sydney Local Health District, Surry Hills, NSW, 2010, Australia
| | - Rhonda Griffiths
- School of Nursing & Midwifery, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Vincent W Wong
- South-Western Sydney Clinical School, University of New South Wales, Liverpool, NSW, 2170, Australia
| | - Mark Gussy
- La Trobe Rural Health School, La Trobe University, Bendigo, VIC, 3552, Australia
- Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, United Kingdom
- School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Rachel E Martin
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, NSW, 1871, Australia
- Melbourne Dental School, The University of Melbourne, Carlton, VIC, 3053, Australia
| | - Phyllis Lau
- Melbourne Dental School, The University of Melbourne, Carlton, VIC, 3053, Australia
- School of Medicine, Western Sydney University, Campbelltown, NSW, 2560, Australia
- Department of General Practice, The University of Melbourne, Melbourne, VIC, 3010, Australia
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Influence of symptomatic periodontal disease on changes in skeletal bone density during medication therapy for osteoporosis in postmenopausal women: the Japanese Osteoporosis Intervention Trial (JOINT)-04 and JOINT-05. Arch Osteoporos 2021; 17:7. [PMID: 34958402 DOI: 10.1007/s11657-021-01054-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 12/20/2021] [Indexed: 02/03/2023]
Abstract
Japanese postmenopausal women with symptomatic periodontal disease had a significantly smaller increase in the T-score for total hip bone density than those without periodontal disease during medication therapy for osteoporosis. Intervention to treat symptomatic periodontal disease before and/or during osteoporosis therapy could maintain the effect of osteoporosis medications. PURPOSE Women with periodontal disease may be more likely to develop osteoporosis. We evaluated whether the presence of symptomatic periodontal disease can influence changes in skeletal bone mineral density (BMD) during medication therapy for osteoporosis in Japanese postmenopausal women. METHODS A total of 4,258 postmenopausal women participated in the Japanese Osteoporosis Intervention Trial protocol number 4 (JOINT-04 trial) and number 5 (JOINT-05 trial), which were multi-center, open-label, randomized controlled trials in Japan. Of these, 3,670 non-edentulous subjects participated in the study. Subjects who had self-reported symptoms of periodontal disease at baseline were defined as having periodontal disease. The study outcome was the difference in BMD changes during the study between subjects with and without periodontal disease. Mixed models for repeated measures after adjusting for covariates were used to investigate the difference in the BMD changes during the study between subjects with and without periodontal disease. RESULTS Subjects with periodontal disease had significantly lower T-scores for total hip (p = 0.035) and metacarpal (p = 0.048) BMD than those without periodontal disease at baseline. During medication therapy for osteoporosis, subjects with periodontal disease had a significantly smaller increase in T-score for total hip BMD than those without periodontal disease (p = 0.021), although no significant differences were observed in the changes in T-scores for other skeletal BMD measurements between subjects with and without periodontal disease. CONCLUSIONS The presence of self-reported symptoms of periodontal disease may be associated with a decrease in the effect of osteoporosis medications in Japanese postmenopausal women.
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