Incidence and risk of periodontitis in obstructive sleep apnea: A meta-analysis

Sleep and periodontal health

Sleep is fundamental for health and well-being. An adequate amount and quality of sleep is a cardinal component of a healthy lifestyle at the basis of the prevention of many non-communicable chronic diseases. Recent evidence suggests that sleep disorders, particularly obstructive sleep apnea, represent an emerging risk factor for periodontal health. This review article provides a critical appraisal of the existing literature concerning the association between sleep duration, sleep quality, sleep disorders in general, and obstructive sleep apnea with periodontal diseases, including gingivitis and periodontitis. The putative mechanisms underlying these associations are described as well as the potential clinical implications for diagnosis and treatment.

Association between sleep and periodontitis: NHANES 2009-2014 and Mendelian randomization study

OBJECTIVE

We assessed association between periodontitis and sleep patterns.

METHODS

Our study included 7289 participants based on a large-scale study in NHANES. Periodontitis was defined through an oral examination. We used logistic regression to explore association between sleep status and risk of periodontitis. Further, stratified analysis was conducted. We performed a Mendelian randomization (MR) analysis using publicly available genetic data from corresponding studies.

RESULTS

Odds Ratio (OR) of periodontitis was 1.25 (1.07-1.46) in individuals with < 7 hours/per night. Stratification analysis showed individuals under 45 years old (OR: 1.28, 95% CI: 1.07-1.54), women (1.28(1.07-1.54)), education levels below high school (1.45(1.03-2.05)) and higher family income (-1.28(1.06-1.56)) were more likely to deteriorate to periodontitis if sleep time less than 7 hours. IVW-MR showed periodontitis risk was not associated with genetically increased levels of sleep time (0.22 (0.02-3.05)) or insomnia (0.83(0.55-1.24)).

CONCLUSION

There was no indication that sleep status was associated with periodontitis.

The Molecular Comorbidity Network of Periodontal Disease

Periodontal disease, a multifactorial inflammatory condition affecting the supporting structures of the teeth, has been increasingly recognized for its association with various systemic diseases. Understanding the molecular comorbidities of periodontal disease is crucial for elucidating shared pathogenic mechanisms and potential therapeutic targets. In this study, we conducted comprehensive literature and biological database mining by utilizing DisGeNET2R for extracting gene-disease associations, Romin for integrating and modeling molecular interaction networks, and Rentrez R libraries for accessing and retrieving relevant information from NCBI databases. This integrative bioinformatics approach enabled us to systematically identify diseases sharing associated genes, proteins, or molecular pathways with periodontitis. Our analysis revealed significant molecular overlaps between periodontal disease and several systemic conditions, including cardiovascular diseases, diabetes mellitus, rheumatoid arthritis, and inflammatory bowel diseases. Shared molecular mechanisms implicated in the pathogenesis of these diseases and periodontitis encompassed dysregulation of inflammatory mediators, immune response pathways, oxidative stress pathways, and alterations in the extracellular matrix. Furthermore, network analysis unveiled the key hub genes and proteins (such as TNF, IL6, PTGS2, IL10, NOS3, IL1B, VEGFA, BCL2, STAT3, LEP and TP53) that play pivotal roles in the crosstalk between periodontal disease and its comorbidities, offering potential targets for therapeutic intervention. Insights gained from this integrative approach shed light on the intricate interplay between periodontal health and systemic well-being, emphasizing the importance of interdisciplinary collaboration in developing personalized treatment strategies for patients with periodontal disease and associated comorbidities.

Correlations between Obstructive Sleep Apnea Syndrome and Periodontitis: A Systematic Review and Meta-Analysis

The focus of this article was to evaluate the link between obstructive sleep apnea syndrome (OSAS) and periodontitis, considering various hypotheses supporting the relationship between respiratory disorders and periodontitis. The literature review for this study was performed using the PubMed, Google Scholar, Cochrane library, and Proquest databases. The review process was guided by the PRISMA guidelines. The PECOS protocol (Population, Exposure, Control, Outcome, Study) was followed in developing the search strategy to ensure consistent and accurate selection of articles. To evaluate quality, cross-sectional studies were reviewed using the Joanna Briggs Institute (JBI) critical appraisal tool. Case-control studies were assessed with the Newcastle-Ottawa Scale (NOS). The research included a total of 10 studies, encompassing 88,040 participants. The meta-analysis observed a statistically significant association between OSAS and periodontitis, with an odds ratio OR = 2.4620 (95%-CI: 1.7345-3.4946 p ≤ 0.0001). The results suggest a potential association between OSA and periodontitis. Further investigations are warranted to confirm this association and elucidate its underlying mechanism.

Effect of mandibular advancement appliance use on oral and periodontal health in patients with OSA: a systematic review

STUDY OBJECTIVES

Use of a mandibular advancement appliance (MAA) is an effective treatment option for mild-to-moderate obstructive sleep apnea (OSA). MAA is well-tolerated but undesirable effects may be observed over time. The present systematic review aimed to assess the effect of MAA use on oral and periodontal health in patients with OSA.

METHODS

MEDLINE (PubMed), Cochrane, and Scopus were searched for randomized and non-randomized controlled trials (RCTs, NRCTs), cohorts, and case-control studies reporting on side effects of MAA treatment in OSA patients during a follow-up of at least 6 months.

RESULTS

From a total of 169 articles screened, 28 were selected. The most frequently reported MAA-related effects on oral health were: hypersalivation (weighted mean prevalence, 33.3%), occlusal changes (30.2%), muscle pain (22.9%), tooth discomfort or pain (20.2%), and xerostomia (18.3%). No MAA-related periodontal effect was reported. The periodontal status prior to MAA treatment was rarely assessed and described, but 5 studies (17.8%) stated that periodontitis was an exclusion criterion for MAA. Only one retrospective study specifically evaluated periodontal parameters and reported no significant changes in periodontally healthy patients with OSA using MAA for over 7 years.

CONCLUSION

MAA use is associated with a number of clinical consequences on oral health, but there is no evidence to conclude whether or not MAA affects periodontal health in patients with OSA. This aspect appears to be under-evaluated and should be further investigated in relation to the type of MAA, the duration of treatment, and prior history of periodontitis.

Clinical and radiographic periodontal status in hypertensive patients with or without obstructive sleep apnea 10 years after diagnosis and CPAP initiation

OBJECTIVES

Through inflammation and hyposalivation, obstructive sleep apnea (OSA) is suggested to affect periodontal status over time. Our aim was to compare the clinical and radiographic periodontal status of hypertensive patients with or without long-term presence of OSA, treated or untreated with continuous positive airway pressure treatment (CPAP).

MATERIALS AND METHODS

In 2007-2009, a screening for OSA was conducted among 394 hypertensive primary care patients. Polygraphy was used to create three groups: no OSA, non-CPAP, or adherent CPAP based on the apnea hypopnea index (AHI). After 10 years, a cross-sectional sleep and periodontal examination including a clinical and radiographic examination, a questionnaire, and a matrix metalloproteinase-8 (MMP-8) chair-side test was conducted. Based on levels of alveolar bone, bleeding on probing (BoP), and probing pocket depth (PPD), patients were categorized into four periodontal stages: periodontal health/gingivitis and three periodontal disease stages. Periodontal status and periodontal stages were compared between the OSA (n = 49), non-CPAP (n = 38), or adherent CPAP (n = 34) groups.

RESULTS

The 121 patients (53% women) had a median age of 71 years. No differences were seen between the OSA groups regarding median number of teeth (p = .061), teeth/implants, (p = .107), plaque index (p = .245), BoP (p = .848), PPD ≥ 4 mm (p = .561), PPD ≥ 6 mm (p = .630), presence of MMP-8 (p = .693) except for bone loss (p = .011). Among patients with stage periodontal health/gingivitis a significant difference was seen, as 70% of those were categorized as no OSA, 20% as non-CPAP, and 10% as adherent CPAP (p = .029). Differences were not seen in periodontal disease stages.

CONCLUSIONS

Hypertensive patients with obstructive sleep apnea (OSA) did not have an adverse clinical periodontal status compared to patients without OSA. However, when combining radiographic and clinical status into periodontal stages, patients without OSA more frequently exhibited periodontal health or gingivitis compared to patients without OSA, regardless of CPAP treatment.

Genetically predicted obstructive sleep apnea is causally associated with an increased risk for periodontitis

BACKGROUND

Although obstructive sleep apnea (OSA) and periodontitis are associated, whether this association is causative is uncertain.

METHODS

We conducted a bidirectional Mendelian randomization (MR) analysis using data from publically accessible genome-wide association studies. The single-nucleotide polymorphisms (SNPs) for OSA were derived from 16,761 cases and 201,194 controls. The pooled data of periodontitis association involved up to 17,353 individuals. Disease-associated single-nucleotide polymorphisms were selected as an instrumental variable at the genome-wide significance level (p < 5.0 × 10- 6). Subsequently, the causal effects were estimated using three different methods: inverse variance weighting (IVW), MR-Egger, and weighted median. Then, these causal estimates were expressed as dominance ratios [odds ratio (OR)].

RESULTS

The MR analysis revealed that genetically determined OSA promotes the development of periodontitis [ IVW OR = 1.117, 95% confidence interval (CI) = 1.001-1.246, p = 0.048). Furthermore, no causal effect of genetically predicted periodontitis on OSA was noted in the reverse MR analysis (IVW OR = 1, 95% CI: 0.95-1.06, p = 0.87). The trend in results from the MR-Egger regression and weighted median (WM) was consistent with that in results from the IVW method. The robustness of the results was confirmed by the sensitivity analysis.

CONCLUSIONS

In summary, the results of our MR investigation suggest an association between OSA and periodontitis, proposing that early screening and treatment of OSA is beneficial for the prevention and prognosis of periodontitis.

The association between respiratory diseases and periodontitis: A systematic review and meta-analysis

AIM

To evaluate (1) whether periodontitis has an influence on the prevalence/incidence of respiratory diseases (chronic obstructive pulmonary disease [COPD], asthma, community-acquired pneumonia [CAP], obstructive sleep apnoea [OSA] and COVID-19), and (2) what is the impact of periodontal therapy on the onset or progression of respiratory diseases.

MATERIALS AND METHODS

An electronic search was performed on Pubmed, Cochrane Library and Scopus databases up to October 2021, to identify studies answering the PECOS and PICOS questions.

RESULTS

Seventy-five articles were selected. Meta-analyses identified statistically significant associations of periodontitis with COPD (nstudies  = 12, odds ratio [OR] = 1.28, 95% confidence interval [CI] [1.16; 1.42], p < .001), and OSA (ns  = 6, OR = 1.65, 95% CI [1.21; 2.25], p = .001), but not for asthma (ns  = 9, OR = 1.53, 95% CI [0.82; 2.86], p = .181). For acute conditions, two studies were found for CAP, while for COVID-19, significant associations were found for the need of assisted ventilation (ns  = 2, OR = 6.24, 95% CI [2.78; 13.99], p < .001) and COVID-related mortality (ns  = 3, OR = 2.26, 95% CI [1.36, 3.77], p = .002). Only four intervention studies were found, showing positive effects of periodontal treatment on COPD, asthma and CAP.

CONCLUSIONS

A positive association between periodontitis and COPD, OSA and COVID-19 complications has been found, while there is a lack of intervention studies.

Obstructive Sleep Apnea, Metabolic Dysfunction, and Periodontitis-Machine Learning and Statistical Analyses of the Dental, Oral, Medical Epidemiological (DOME) Big Data Study

This study aimed to analyze the associations of obstructive sleep apnea (OSA) with dental parameters while controlling for socio-demographics, health-related habits, and each of the diseases comprising metabolic syndrome (MetS), its consequences, and related conditions. We analyzed data from the dental, oral, and medical epidemiological (DOME) cross-sectional records-based study that combines comprehensive socio-demographic, medical, and dental databases of a nationally representative sample of military personnel for one year. Analysis included statistical and machine learning models. The study included 132,529 subjects; of these, 318 (0.2%) were diagnosed with OSA. The following parameters maintained a statistically significant positive association with OSA in the multivariate binary logistic regression analysis (descending order from highest to lowest OR): obesity (OR = 3.104 (2.178-4.422)), male sex (OR = 2.41 (1.25-4.63)), periodontal disease (OR = 2.01 (1.38-2.91)), smoking (OR = 1.45 (1.05-1.99)), and age (OR = 1.143 (1.119-1.168)). Features importance generated by the XGBoost machine learning algorithm were age, obesity, and male sex (located on places 1-3), which are well-known risk factors of OSA, as well as periodontal disease (fourth place) and delivered dental fillings (fifth place). The Area Under Curve (AUC) of the model was 0.868 and the accuracy was 0.92. Altogether, the findings supported the main hypothesis of the study, which was that OSA is linked to dental morbidity, in particular to periodontitis. The findings highlight the need for dental evaluation as part of the workup of OSA patients and emphasizes the need for dental and general medical authorities to collaborate by exchanging knowledge about dental and systemic morbidities and their associations. The study also highlights the necessity for a comprehensive holistic risk management strategy that takes systemic and dental diseases into account.