Periodontitis links to concurrent systemic comorbidities among 'self-perceived health' individuals

Treatment of periodontitis ameliorates the severity and extent of psoriasis-A randomized clinical trial

AIM

To assess the impact of non-surgical periodontitis treatment over conventional dermatological treatment on the severity and extent of psoriasis in patients affected by comorbid psoriasis and periodontitis.

METHODS

Seventy-four patients affected by both psoriasis and Stages I-IV periodontitis were randomized to receive either Steps 1-2 (non-surgical) of periodontal therapy (test group; n = 37) or no treatment (control group; n = 37). The two groups were balanced in terms of psoriasis medications, with the majority of the included patients undergoing biologics (74.0%) as monotherapy, while minor proportions were under systemic medications (13.7%) or none/topical/phototherapy (12.3%). The psoriasis area severity index (PASI) was regarded as the primary outcome. The body surface area (BSA) and the dermatology life quality index (DLQI) were additionally considered as dermatological outcomes. Probing pocket depth, recession depth, clinical attachment level periodontal inflamed surface area, and [full mouth plaque score] etc, periodontal inflamed surface area, and full-mouth plaque and bleeding scores (FMPS/FMBS) were also measured.

RESULTS

Periodontal therapy in the test group led to statistically significant lower PASI scores at 10 weeks (mean = 3.15; standard deviation [SD] = 3.78) compared to the control group (mean = 7.11; SD = 6.09) (mean difference [MD] = -4.0; 95% confidence interval [CI]: -6.3, -1.6; p = .001). The test group also showed improvements in BSA (MD = -4.3) and periodontal parameters compared to the control group. DLQI only showed a non-statistically significant tendency (MD = -2.0).

CONCLUSION

Steps 1-2 of periodontal therapy showed an additional effect over conventional dermatological treatment in reducing the severity and extent of psoriasis (Clinicaltrials.gov: NCT05311501).

Periodontitis links to concurrent metabolic disorders and abnormal liver function in pregnant women

OBJECTIVE

This cross-sectional study investigated the association of periodontitis with the metabolic status and hepatic function in pregnant women.

MATERIALS AND METHODS

Full-mouth periodontal conditions, metabolic profiles, and hepatic function were assessed in 219 self-reported healthy pregnant females. The association of periodontal status with the systemic parameters was evaluated by parametric and non-parametric tests, and multivariate logistic regression analysis.

RESULTS

Overall, periodontal status was positively associated with the metabolic profiles and hepatic function test results. The subjects with periodontitis exhibited higher levels of body mass index (BMI) (p < 0.01) and serum aspartate transaminase (AST) (p < 0.05), elevated diastolic blood pressure (DBP) (p < 0.05), and lower levels of high-density lipoprotein cholesterol (p < 0.05) than those of the counterparts. The periodontitis severity was strongly correlated with BMI and AST levels, and the extent of periodontal inflammation was related to DBP (p < 0.01). The periodontitis patients at 34-36 gestational weeks showed higher blood pressure and AST levels than those of non-periodontitis subjects (p < 0.05).

CONCLUSION

Our findings on the notable links of periodontitis to concurrent metabolic disorders and abnormal liver function in pregnant women highlight the need of proactive integration of regular periodontal screening and healthcare in maternal programs for promoting optimal health and wellbeing of mothers-to-be and newborns.

Periodontitis is associated with multimorbidity in a large dental school population

AIM

To investigate whether and which diseases co-occur with periodontitis (PD) to assess the prevalence of comorbidities and multimorbidity and to identify patterns and profiles of comorbidity and multimorbidity and the influence of demographic and lifestyle factors to identify distinct groups of multimorbid patients.

MATERIALS AND METHODS

A database from the Academic Centre of Dentistry Amsterdam (ACTA) with 37,801 adult individuals containing information about demographic (age, sex, socio-economic position [SEP]) and lifestyle factors (smoking, alcohol use and addictive substance use) and PD and systemic diseases was constructed. PD assessment was based on clinical information by the use of claim codes and systemic diseases data were derived from self-reported medical history. For analyses, univariable and multivariable (adjusted for age, sex, SEP, smoking, alcohol use and addictive substance use) logistic regression analyses and cluster analysis were used.

RESULTS

Individuals with PD more often had one or multiple diseases. The adjusted odds ratio (OR) for PD patients having up to four systemic diseases ranged from 1.46 to 1.20. Co-occurrence of PD with several systemic diseases and a higher prevalence of multimorbidity was found (adjusted OR comorbidity = 1.36; 95% confidence interval (CI): 1.30-1.43; multimorbidity = 1.18; 95% CI: 1.11-1.25). Four clusters existed: cluster 1 was defined as a periodontal and systemically healthy group and cluster 4 as burdened with PD but not containing any systemic diseases. Individuals in cluster 1 were of the lowest age (44.9 [SD: 15.5]) and had the lowest prevalence of the lifestyle factors of smoking (13.6%) and alcohol use (3.9%). Clusters 2 and 3 contained both PD and had several systemic diseases but were different from each other. Cluster 2 contained 34.5% of PD individuals and had mainly respiratory tract, immune system and digestive system diseases. Cluster 3 contained 45.9% of PD individuals and had mainly cardiometabolic diseases. Cluster 2 had the highest prevalence of females (63.1%) and the highest prevalence of smokers (23.8%) and addictive substance users (8.9%). Cluster 3 included individuals of the highest age (63.5 [SD: 11.9]), and had highest prevalence of alcohol users (17.7%) and lowest prevalence of addictive substance users (3.8%).

CONCLUSIONS

This study shows that individuals with PD are more often burdened with comorbidity and multimorbidity. Presence of distinct clusters suggests overlap in pathophysiology between certain types of PD and specific systemic diseases. Therefore, PD can be considered as part of multimorbidity, as one of the systemic diseases co-occurring in certain groups of individuals.

A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions

Background: It is known that oral diseases such as periodontal (gum) disease are closely linked to various systemic diseases and disorders. Deep learning advances have the potential to make major contributions to healthcare, particularly in the domains that rely on medical imaging. Incorporating non-imaging information based on clinical and laboratory data may allow clinicians to make more comprehensive and accurate decisions. Methods: Here, we developed a multimodal deep learning method to predict systemic diseases and disorders from oral health conditions. A dual-loss autoencoder was used in the first phase to extract periodontal disease-related features from 1188 panoramic radiographs. Then, in the second phase, we fused the image features with the demographic data and clinical information taken from electronic health records (EHR) to predict systemic diseases. We used receiver operation characteristics (ROC) and accuracy to evaluate our model. The model was further validated by an unseen test dataset. Findings: According to our findings, the top three most accurately predicted chapters, in order, are the Chapters III, VI and IX. The results indicated that the proposed model could predict systemic diseases belonging to Chapters III, VI and IX, with AUC values of 0.92 (95% CI, 0.90-94), 0.87 (95% CI, 0.84-89) and 0.78 (95% CI, 0.75-81), respectively. To assess the robustness of the models, we performed the evaluation on the unseen test dataset for these chapters and the results showed an accuracy of 0.88, 0.82 and 0.72 for Chapters III, VI and IX, respectively. Interpretation: The present study shows that the combination of panoramic radiograph and clinical oral features could be considered to train a fusion deep learning model for predicting systemic diseases and disorders.

Beneficial Effects of Melatonin on Periodontitis Management: Far More Than Oral Cavity

Periodontitis as a highly prevalent chronic infection/inflammatory disease can eventually lead to tooth loss and masticatory dysfunction. It also has a negative impact on general health and largely impairs quality of life. The tissue destruction during periodontitis is mainly caused by the excessive immune-inflammatory response; hence, how to modulate the host's reaction is of profound importance for effective periodontal treatment and tissue protection. Melatonin, as an endogenous hormone exhibiting multiple biological functions such as circadian rhythm regulation, antioxidant, and anti-inflammation, has been widely used in general healthcare. Notably, the past few years have witnessed increasing evidence for the application of melatonin as an adjunctive approach in the treatment of periodontitis and periodontitis-related systemic comorbidities. The detailed underlying mechanisms and more verification from clinical practice are still lacking, however, and further investigations are highly required. Importantly, it is essential to establish standard guidelines in the near future for the clinical administration of melatonin for periodontal health and general wellbeing.

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

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.

3D Printed and Bioprinted Membranes and Scaffolds for the Periodontal Tissue Regeneration: A Narrative Review

Numerous technologies and materials were developed with the aim of repairing and reconstructing the tissue loss in patients with periodontitis. Periodontal guided bone regeneration (GBR) and guided tissue regeneration (GTR) involves the use of a membrane which prevents epithelial cell migration, and helps to maintain the space, creating a protected area in which tissue regeneration is favored. Over the time, manufacturing procedures of such barrier membranes followed important improvements. Three-dimensional (3D) printing technology has led to major innovations in periodontal regeneration methods, using technologies such as inkjet printing, light-assisted 3D printing or micro-extrusion. Besides the 3D printing of monophasic and multi-phasic scaffolds, bioprinting and tissue engineering have emerged as innovative technologies which can change the way we see GTR and GBR.

The Effects of 810 nm Diode Laser and Indocyanine Green on Periodontal Parameters and HbA1c in Patients with Periodontitis and Type II Diabetes Mellitus: A Randomized Controlled Study

The aim of this study was to investigate the effects of adjunctive periodontal therapy of 5 mg/mL indocyanine green irradiation by an 810 nm diode laser (aPDT), supplementary to scaling and root planing (SRP) in patients with periodontitis and type II diabetes mellitus (DM) compared to the SRP alone, on periodontal clinical parameters and glycated hemoglobin A1c (HbA1c). The study was conducted on 49 subjects with type II DM and periodontitis, divided into two groups: the SRP group (n = 25), who followed SRP alone, and the SRP + aPDT group (n = 24), who followed SRP and four weekly sessions of indocyanine green irradiation by an 810 nm diode laser. Plaque Index (PI), Bleeding on Probing Index (BOP), probing depth (PD), clinical attachment loss (CAL) and HbA1c were investigated at baseline and after 6 months. At 6 months, both SRP alone and SRP + aPDT generated significant reductions in all the investigated parameters; SRP + aPDT produced more significant reductions for BOP, PD and CAL (p < 0.001) but not for PI and HbA1c, than SRP alone. aPDT with indocyanine green therapy was well tolerated, with two subjects reporting slight discomfort. Therefore, aPDT with indocyanine green might represent a good adjunctive periodontal treatment option for SRP in patients with type II DM and periodontitis.

Hermansky-Pudlak syndrome type 2: A rare cause of severe periodontitis in adolescents-A case study

BACKGROUND AND AIMS

Hermansky-Pudlak syndrome (HPS) is an autosomal recessive disorder characterized by oculocutaneous albinism (OCA) and platelet storage pool deficiency. The HPS-2 subtype is distinguished by neutropenia, and little is known about its periodontal phenotype in adolescents. AP3B1 is the causative gene for HPS-2. A 13-year-old Chinese girl presented to our department suffering from gingival bleeding and tooth mobility. Her dental history was otherwise unremarkable. Suspecting some systemic diseases as the underlying cause, the patient was referred for medical consultation, a series of blood tests, and genetic tests. In this case study, periodontal status and mutation screening of one HPS-2 case are presented.

METHODS

Blood analysis including a complete blood count (CBC) and glycated hemoglobin levels were measured. Platelet transmission electron microscopy (PTEM) was performed to observe the dense granules in platelets. Whole-exome sequencing (WES) and Sanger sequencing were performed to confirm the pathogenic variants.

RESULTS

A medical diagnosis of HPS-2 was assigned to the patient. Following the medical diagnosis, a periodontal diagnosis of "periodontitis as a manifestation of systemic disease" was assigned to the patient. We identified novel compound heterozygous variants in AP3B1 (NM_003664.4: exon7: c.763C>T: p.Q255^*) and (NM_003664.4: exon1: c.53_56dup: p.E19Dfs^*21) in this Chinese pedigree with HPS-2.

CONCLUSION

This case study indicates the importance of periodontitis as a possible indicator of underlying systemic disease. Systemic disease screening is needed when a young patient presents with unusual, severe periodontitis, as the oral condition may be the first of a systemic abnormality. Our work also expands the spectrum of AP3B1 mutations and further provides additional genetic testing information for other HPS-2 patients.