Disparities and social determinants of periodontal diseases.

Periodontal diseases are highly prevalent in populations worldwide and are a major global public health problem, with major negative impacts on individuals and communities. This study investigates evidence of disparities in periodontal diseases by age groups, gender, and socioeconomic factors. There is ample evidence that these diseases disproportionally affect poorer and marginalized groups and are closely associated with certain demographics and socioeconomic status. Disparities in periodontal health are associated with social inequalities, which in turn are caused by old age, gender inequality, income and education gaps, access to health care, social class, and other factors. In health care, these factors may result in some individuals receiving better and more professional care compared to others. This study also reviews the potential causes of these disparities and the means to bridge the gap in disease prevalence. Identifying and implementing effective strategies to eliminate inequities among minorities and marginalized groups in oral health status and dental care should be prioritized in populations globally.

Bacteriome analysis of Aggregatibacter actinomycetemcomitans-JP2 genotype-associated Grade C periodontitis in Moroccan adolescents.

Background: Grade C (previously aggressive) periodontitis (GCP) in adolescents is prevalent in certain parts of Africa where it is associated with JP2 genotype, a highly virulent strain of Aggregatibacter actinomycetemcomitans. The aim of this study was to characterize the subgingival bacteriome in Moroccan subjects with GCP positive to A. actinomycetemcomitans JP2 genotype. Methods: Subgingival plaque samples were collected from shallow and deep pockets of 8 subjects with GCP (17.2 ± 1.5 years) and from gingival sulci of 13 controls with no periodontitis (14.6 ± 1.1 years). Identification and genotyping of A. actinomycetemcomitans was performed using PCR analysis of the ltx operon, while bacteriome profiling was done by 16S rRNA gene sequencing (V1-V3 region). Groups were compared in terms of microbial diversity, abundances, and dysbiosis. Results: The shallow and deep pocket sites from GCP cases had a significantly altered microbial composition compared to controls. Species associated with health included Haemophilus parainfluenzae, Lautropia mirabilis, Streptococcus spp., Gemella spp., and Rothia spp. While known periodontal pathogens, including Porphyromonas gingivalis, Tannerella forsythia, Treponema spp. and Fretibacterium spp., were significantly enriched in GCP, non-conventional taxa, including Pseudomonas oral taxon C61 and Enterobacter cloacae were more abundant and showed stronger association with the disease. Less significant differences in abundances of individual taxa were observed between shallow and deep pockets. Overall dysbiosis measured in terms of Subgingival Microbial Dysbiosis Index (SMDI) differentiated between GCP and no-periodontitis with 95% accuracy. Conclusions: The results suggest that several periodontal pathogens involved in the adult-type periodontitis also play a role in JP2 genotype-associated GCP. The potential role of non-conventional taxa in the pathogenesis of GCP warrants further investigation.

Effect of osteoarthritis on alveolar bone loss in experimental periodontitis in rats.

BACKGROUND: There is scarce information about the relationship between periodontal disease and osteoarthritis. This study investigated the effect of surgically induced osteoarthritis on alveolar bone loss in experimental periodontitis in rats. METHODS: 12 rats were divided into test and control groups. On day 1, the animals were anaesthetized, and silk ligatures were ligated around 6 maxillary posterior teeth in each animal from both groups. Surgical induction of osteoarthritis was performed on the left knees in the test group. No knee surgeries were performed in the control group. The ligatures were kept in place for 30 days, at which time the animals were euthanatized, and the maxillae and knee joints were harvested and processed for histological analysis. The alveolar bone loss was assessed using a zoom stereomicroscope. RESULTS: The knee joint histologic sections of the control group showed normal joint features, whereas in the test group there were substantial changes typical of osteoarthritis, including wide joint spaces, prominent monocytic infiltration of the synovium, invasion of periarticular bone, and decreased chondrocyte density. Comparison of the bone height between the groups showed a significantly higher bone loss in the test than in the control group The marginal mean bone height, adjusted for covariates and the intraclass correlation between sites, was 1.19 and 0.78 mm in the test and control groups, respectively (p < .0001). CONCLUSIONS: Surgically induced osteoarthritis leads to greater alveolar bone loss in the experimental periodontitis model in rats.

Optimization of conditions for in vitro modeling of subgingival normobiosis and dysbiosis.

Modeling subgingival microbiome in health and disease is key to identifying the drivers of dysbiosis and to studying microbiome modulation. Here, we optimize growth conditions of our previously described in vitro subgingival microbiome model. Subgingival plaque samples from healthy and periodontitis subjects were used as inocula to grow normobiotic and dysbiotic microbiomes in MBEC assay plates. Saliva supplemented with 1%, 2%, 3.5%, or 5% (v/v) heat-inactivated human serum was used as a growth medium under shaking or non-shaking conditions. The microbiomes were harvested at 4, 7, 10 or 13 days of growth (384 microbiomes in total) and analyzed by 16S rRNA gene sequencing. Biomass significantly increased as a function of serum concentration and incubation period. Independent of growth conditions, the health- and periodontitis-derived microbiomes clustered separately with their respective inocula. Species richness/diversity slightly increased with time but was adversely affected by higher serum concentrations especially in the periodontitis-derived microbiomes. Microbial dysbiosis increased with time and serum concentration. Porphyromonas and Alloprevotella were substantially enriched in higher serum concentrations at the expense of Streptococcus, Fusobacterium and Prevotella. An increase in Porphyromonas, Bacteroides and Mogibacterium accompanied by a decrease in Prevotella, Catonella, and Gemella were the most prominent changes over time. Shaking had only minor effects. Overall, the health-derived microbiomes grown for 4 days in 1% serum, and periodontitis-derived microbiomes grown for 7 days in 3.5%-5% serum were the most similar to the respective inocula. In conclusion, normobiotic and dysbiostic subgingival microbiomes can be grown reproducibly in saliva supplemented with serum, but time and serum concentration need to be adjusted differently for the health and periodontitis-derived microbiomes to maximize similarity to in vivo inocula. The optimized model could be used to identify drivers of dysbiosis, and to evaluate interventions such as microbiome modulators.

Developing Automated Computer Algorithms to Phenotype Periodontal Disease Diagnoses in Electronic Dental Records.

OBJECTIVE: Our objective was to phenotype periodontal disease (PD) diagnoses from three different sections (diagnosis codes, clinical notes, and periodontal charting) of the electronic dental records (EDR) by developing two automated computer algorithms. METHODS: We conducted a retrospective study using EDR data of patients (n = 27,138) who received care at Temple University Maurice H. Kornberg School of Dentistry from January 1, 2017 to August 31, 2021. We determined the completeness of patient demographics, periodontal charting, and PD diagnoses information in the EDR. Next, we developed two automated computer algorithms to automatically diagnose patients' PD statuses from clinical notes and periodontal charting data. Last, we phenotyped PD diagnoses using automated computer algorithms and reported the improved completeness of diagnosis. RESULTS: The completeness of PD diagnosis from the EDR was as follows: periodontal diagnosis codes 36% (n = 9,834), diagnoses in clinical notes 18% (n = 4,867), and charting information 80% (n = 21,710). After phenotyping, the completeness of PD diagnoses improved to 100%. Eleven percent of patients had healthy periodontium, 43% were with gingivitis, 3% with stage I, 36% with stage II, and 7% with stage III/IV periodontitis. CONCLUSIONS: We successfully developed, tested, and deployed two automated algorithms on big EDR datasets to improve the completeness of PD diagnoses. After phenotyping, EDR provided 100% completeness of PD diagnoses of 27,138 unique patients for research purposes. This approach is recommended for use in other large databases for the evaluation of their EDR data quality and for phenotyping PD diagnoses and other relevant variables.

Palatal Bone Wall Thickness in Anterior Maxillary Sites: CBCT Assessments in Dentate Patients.

PURPOSE: To assess the thickness of the palatal bone wall of maxillary anterior teeth in relation to age, sex, and tooth type. MATERIALS AND METHODS: A total of 100 CBCT images of patients ≥ 18 years of age were used. The thickness of the palatal bone at the maxillary canines and incisors was assessed perpendicular to the long axis of the teeth at three locations: 4 mm apical to the cementoenamel junction (CEJ; MP1), halfway between the CEJ and the root apex (MP2), and at the root apex (MP3). RESULTS: At the MP1 site, 96% of the maxillary anterior teeth had a palatal bone thickness of < 1 mm, with a mean thickness of 0.5 mm. At the MP2 and MP3 sites, 86% and 100% of the teeth had ≥ 1 mm bone thickness, and the means were 2 and 5 mm, respectively. There were no significant differences among the age or gender groups. Maxillary canines showed significantly greater bone thickness than maxillary incisors, particularly at MP2 and MP3 sites. CONCLUSION: Most of the examined teeth had thin palatal bone at the MP1 measurement site, and maxillary canines showed significantly thicker palatal bone than maxillary incisors. This finding should be considered when treatment planning for immediate implants in the maxillary anterior segment.

Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data.

Despite advances in periodontal disease (PD) research and periodontal treatments, 42% of the US population suffer from periodontitis. PD can be prevented if high-risk patients are identified early to provide preventive care. Prediction models can help assess risk for PD before initiation and progression; nevertheless, utilization of existing PD prediction models is seldom because of their suboptimal performance. This study aims to develop and test the PD prediction model using machine learning (ML) and electronic dental record (EDR) data that could provide large sample sizes and up-to-date information. A cohort of 27,138 dental patients and grouped PD diagnoses into: healthy control, mild PD, and severe PD was generated. The ML model (XGBoost) was trained (80% training data) and tested (20% testing data) with a total of 74 features extracted from the EDR. We used a five-fold cross-validation strategy to identify the optimal hyperparameters of the model for this one-vs.-all multi-class classification task. Our prediction model differentiated healthy patients vs. mild PD cases and mild PD vs. severe PD cases with an average area under the curve of 0.72. New associations and features compared to existing models were identified that include patient-level factors such as patient anxiety, chewing problems, speaking trouble, teeth grinding, alcohol consumption, injury to teeth, presence of removable partial dentures, self-image, recreational drugs (Heroin and Marijuana), medications affecting periodontium, and medical conditions such as osteoporosis, cancer, neurological conditions, infectious diseases, endocrine conditions, cardiovascular diseases, and gastroenterology conditions. This pilot study demonstrated promising results in predicting the risk of PD using ML and EDR data. The model may provide new information to the clinicians about the PD risks and the factors responsible for the disease progression to take preventive approaches. Further studies are warned to evaluate the prediction model's performance on the external dataset and determine its usability in clinical settings.

Prevalence of periodontal disease in young Moroccans: A national survey.

BACKGROUND: There are few large surveys of periodontal disease in young age cohorts, and national surveys in Africa do not exist. This study assessed the prevalence and severity of periodontal disease in a national survey of adolescents and young adults in Morocco. METHODS: A multistage probability sampling design was used to draw a sample of 14,667 students 12-25 years old attending 87 schools. The sample was representative of approximately three million Moroccan students in this age group. RESULTS: A total of 27.9%, 11.9%, and 7.7% of the subjects had ≥1 tooth with ≥4, ≥5, and ≥6 mm probing depth, and the population estimates were ≈ 822,436, 349,961, and 226,297 affected subjects, respectively. For attachment loss, the prevalences were: 11.6%, 9.5%, and 6.9% (or ≈ 341,761, 281,043, and 203,977 affected subjects) for ≥4, ≥5, and ≥6 mm, respectively. The rates of probing depth and attachment loss increased significantly with the increase in age (p < 0.01, p < 0.001). Sex and urban status did not show significant effects on the prevalence of periodontal disease (p > 0.05). Similarly, the relationship between the occupation status and periodontal status was modest and not statistically significant (p > 0.05). CONCLUSIONS: Children and young adults attending public schools in Morocco have a high prevalence and severity of periodontal disease compared with other populations of similar age. The rate of periodontal disease reported here may be used as baseline population estimates in the surveillance of disease status in this population.

National survey of periodontal diseases in adolescents and young adults in Morocco.

AIM: National surveys of periodontal diseases in children are rare. This study describes the first national survey of oral health of adolescents attending public schools in Morocco. We report the prevalence and demographic determinants of periodontal diseases, and generate population estimates for this young population. MATERIALS AND METHODS: This study used a multi-stage probability sample comprising 14,667 students in 87 schools and 520 classrooms, representative of students attending grades 6-12 (age 12-18 years) in Morocco. The students were interviewed and then examined clinically to assess their periodontal status, which was classified according to the 2017 World Workshop. In addition, the diagnosis of aggressive periodontitis (AgP) was assessed. RESULTS: Of approximately 3 million students in this age cohort, 12.3% (or approximately 360,894 subjects) had periodontitis and 46.9% (1.4 million) had gingivitis. They comprised 10.8%, 2.9%, and 6.1% subjects with periodontitis stage I, II, and III/IV, respectively; 5.0%, or 148,336 subjects, had AgP. The prevalence rates were not significantly different by gender or urban status. However, the prevalence of AgP was particularly high in certain regions of Morocco. CONCLUSIONS: The prevalence of staged periodontitis and AgP in this young population is among the highest reported in national surveys worldwide.

Enhancing an AI-Empowered Periodontal CDSS and Comparing with Traditional Perio-risk Assessment Tools.

Periodontal disease (PD) is one of the most prevalent dental diseases. Fortunately, it can be prevented if identified early, especially for high-risk patients. Dental electronic health records (EHRs) could help develop a data-driven personalized prediction model using advanced machine learning development of clinical decision support system (CDSS) as in our Phase I, II AMIA-AI showcase. In phase II, we created a CDSS, the Perio-Risk Scoring system (PRSS), to help clinicians generate perio-scores and diagnoses and identify the influential factors. In Phase III (this study), we implemented and compared the patient's risk factors information in five periodontal risk assessment tools [periodontal risk assessment (PRA), PreViser, Sonicare, Cigna, and Periodontal Risk Scoring System (PRSS)]. We examined 1) agreement between the risk scores provided by each of the five risk assessment tools of 20 patients' information and 2) compare the risk scores provided by each tool to the original outcomes (five years outcomes). Fleiss Kappa, Cohen's Kappa, and percentage agreements were performed to determine the agreements between risk scores and original outcomes. We found a -1.24 Kappa value which indicates disagreement between the risk scores provided by five risk assessment tools. Compared to the original outcomes (five-year disease outcomes), PRSS provided the most accurate prediction (70%), followed by Previser (55%), PRA (35%), Phillips (35%), and Cigna (25%). We conclude that using advanced state-of-the-art informatics methods could help us utilize EHR data optimally to represent the current patient populations and their risk factors to provide the most accurate disease risk score. This may promote preventive strategies at the chairside, hoping to reduce PD prevalence, improve quality of life, and reduce healthcare costs.

Periodontitis stage and grade are associated with poor oral-health-related quality of life: Findings from the Porto Alegre cohort study.

AIM: To determine the association between periodontitis stage and grade with oral-health-related quality of life (OHRQoL). MATERIALS AND METHODS: This cohort was derived from the Porto Alegre study. The original sample was representative of more than 3 million inhabitants of a Brazilian urban area. Full-mouth periodontal examinations at six sites per tooth were performed at baseline and 5 years later. Periodontitis grade was determined by direct evidence of progression of attachment loss over the follow-up. Stage of periodontitis and OHRQoL, determined by the oral health impact profile version 14 (OHIP-14), were recorded at the follow-up examination. Mean ratios (MRs) and 95% confidence intervals (95% CIs) were estimated adjusting for age, sex, smoking, systemic diseases, tooth loss, and baseline periodontitis diagnosis. RESULTS: Five-hundred and ninety-nine individuals were analysed. Individuals with periodontitis grade C + stage II (MR = 1.49; 95% CI = 1.08-2.04) and stages III/IV (MR = 1.83; 95% CI = 1.25-2.66) had significantly higher OHIP scores than those without periodontitis or with periodontitis stage I/grade B. Individuals with periodontitis stages II and III/IV + grade B did not differ from those without periodontitis or with periodontitis stage I/grade B. CONCLUSION: Severity and progression rate of periodontitis are associated with poor OHRQoL.

Immune-Related Adverse Events (irAE) in Cancer Immune Checkpoint Inhibitors (ICI) and Survival Outcomes Correlation: To Rechallenge or Not?

INTRODUCTION: There is growing recognition of immune related adverse events (irAEs) from immune checkpoint therapies being correlated with treatment outcomes in certain malignancies. There are currently limited data or consensus to guide management of irAEs with regards to treatment rechallenge. METHODS: We conducted a retrospective analysis with an IRB-approved protocol of adult patients seen at the WVU Cancer Institute between 2011-2019 with a histopathologic diagnosis of active cancers and were treated with immune checkpoint inhibitors (ICI) therapy. RESULTS: Demographics were similar between the ICI interrupted irAE groups within cancer types. Overall, out of 548 patients who received ICI reviewed, there were 133 cases of ≥1 irAE found of any grade. Being treated with anti-CTLA-4 inhibitor ICI was associated with lower risk of death compared to anti-PD-1 ICI. The overall survival difference observed for irAE positive patients, between rechallenged (37.8 months, reinitiated with/without interruption; 38.6 months, reinitiated after interruption) and interrupted/non-reinitiated (i.e., discontinued) groups (24.9 months) was not statistically significant, with a numerical trend favoring the former. CONCLUSIONS: Our exploratory study did not identify significantly different survival outcomes among the Appalachian West Virginia adult cancer patients treated with ICI who developed irAE and had treatment reinitiated after interruption, when compared with those not reinitiated.

Obesity as a risk factor for tooth loss over 5 years: A population-based cohort study.

AIM: To assess obesity as a risk factor for tooth loss over 5 years in an urban sample of Brazilian adults. MATERIALS AND METHODS: A total of 1586 individuals were surveyed using a multistage probabilistic approach. Five years later, 635 individuals 14-64 years old were re-examined. An incident case of tooth loss was determined for a participant that had lost at least one tooth over time. Obesity was evaluated by calculating body mass index at baseline and by the change in obesity status over time. RESULTS: Incident cases of tooth loss were significantly more frequent among obese (47.1%) than normal-weight individuals (32.4%) (p = .004). Obese individuals had 31% higher risk [relative risk (RR) =1.31; 95% confidence interval (95%CI) 1.04-1.65] for tooth loss than normal-weight individuals adjusting for age, socio-economic status, smoking, dental care and periodontitis. This association was significant for females (RR=1.47, 95%CI 1.08-2.01), but not for males. The risk for tooth loss was also modified by presence of periodontitis at baseline and lifetime smoking exposure. There was an increased risk for tooth loss for those that remained obese than those that remained normal weight. CONCLUSION: Obesity is associated with higher risk for tooth loss. This association was modified by sex, periodontal status and smoking.

Prevalence and risk indicators of peri-implant diseases in a group of Moroccan patients.

BACKGROUND: To report the prevalence of peri-implant diseases in a North African patient population, and to assess the concurrent associations of patient- and implant-level characteristics with probing depth and bone loss around dental implants METHODS: A total of 642 implants in 145 subjects were followed up for a mean 6.4 years. At the last follow-up visit the subjects were examined clinically and radiographically to assess the status of peri-implant tissues and teeth. Data analysis used the generalized linear mixed models RESULTS: The prevalence of peri-implant mucositis and peri-implantitis were 82.1% and 41.4% at the subject level, and 68.4% and 22.7% at the implant level, respectively. Inadequate plaque control, peri-implant inflammation, history of previous implant failures, and pain/discomfort at the implant site were significantly associated with both outcomes (increased probing depth and bone loss). Diabetes mellitus, inadequate implant restoration, single restorations (versus multi-unit), cement-retained restorations, and presence of occlusal wear facets on teeth were significantly associated with one of the two outcomes. Implants placed in the lower anterior jaw region had the most favorable outcome. Smoking, history of periodontitis, and type of implant surface did not show significant associations with higher frequency of peri-implant diseases in the multivariable analysis. CONCLUSIONS: Peri-implant diseases are prevalent in this North African patient population. Multiple subject- and implant-level variables were associated with peri-implant diseases. Risk assessment of these effects should consist of a concurrent inclusion of these factors in multivariable analyses that also adjust for the complex variance structure of the oral environment.

Manifestations of systemic diseases and conditions that affect the periodontal attachment apparatus: Case definitions and diagnostic considerations.

OBJECTIVES: This review proposes case definitions and diagnostic considerations of systemic disorders and conditions that affect the periodontal attachment apparatus. IMPORTANCE: Periodontal diseases and certain systemic disorders share similar genetic and/or environmental etiological factors, and affected patients may show manifestations of both diseases. Characterizing these diseases and the nature of the association between them could have important diagnostic value and therapeutic implications for patients. FINDINGS: Numerous systemic disorders and certain medications can affect the periodontal attachment apparatus and cause loss of periodontal attachment and alveolar bone. Although many of these disorders are rare or uncommon, they often cause significant loss of periodontal tissue by influencing periodontal inflammation or through mechanisms distinct from periodontitis. Most of these disorders are due to innate mechanisms and some are acquired via environmental factors or lifestyle. Several disorders affect periodontal inflammation through alterations in the host immune response to periodontal infection; others cause defects in the gingiva or periodontal connective tissue, instigate metabolic changes in the host that affect various tissues of the periodontal apparatus, or operate by other mechanisms. For some systemic disorders that are more common, their contribution to the loss of periodontal tissue is modest, while for others, contribution is not supported by clear evidence. Few systemic medications are associated with increased loss of periodontal tissue, and these are typically medications used in the treatment of malignancies. CONCLUSIONS: This review identifies systemic diseases and conditions that can affect the periodontal attachment apparatus and cause loss of periodontal supporting tissues and, where possible, presents case definitions for these. Many of these diseases are associated with a profound loss of periodontal attachment and alveolar bone, and for some of these disorders the periodontal manifestations may be among the first signs of the disease. These case definitions may be useful in the early diagnosis of these diseases and may contribute to an improvement in the management of periodontal manifestations and improve the quality of life for these patients.

Periodontal manifestations of systemic diseases and developmental and acquired conditions: Consensus report of workgroup 3 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions.

BACKGROUND: A variety of systemic diseases and conditions can affect the course of periodontitis or have a negative impact on the periodontal attachment apparatus. Gingival recessions are highly prevalent and often associated with hypersensitivity, the development of caries and non-carious cervical lesions on the exposed root surface and impaired esthetics. Occlusal forces can result in injury of teeth and periodontal attachment apparatus. Several developmental or acquired conditions associated with teeth or prostheses may predispose to diseases of the periodontium. The aim of this working group was to review and update the 1999 classification with regard to these diseases and conditions, and to develop case definitions and diagnostic considerations. METHODS: Discussions were informed by four reviews on 1) periodontal manifestions of systemic diseases and conditions; 2) mucogingival conditions around natural teeth; 3) traumatic occlusal forces and occlusal trauma; and 4) dental prostheses and tooth related factors. This consensus report is based on the results of these reviews and on expert opinion of the participants. RESULTS: Key findings included the following: 1) there are mainly rare systemic conditions (such as Papillon-Lefevre Syndrome, leucocyte adhesion deficiency, and others) with a major effect on the course of periodontitis and more common conditions (such as diabetes mellitus) with variable effects, as well as conditions affecting the periodontal apparatus independently of dental plaque biofilm-induced inflammation (such as neoplastic diseases); 2) diabetes-associated periodontitis should not be regarded as a distinct diagnosis, but diabetes should be recognized as an important modifying factor and included in a clinical diagnosis of periodontitis as a descriptor; 3) likewise, tobacco smoking - now considered a dependence to nicotine and a chronic relapsing medical disorder with major adverse effects on the periodontal supporting tissues - is an important modifier to be included in a clinical diagnosis of periodontitis as a descriptor; 4) the importance of the gingival phenotype, encompassing gingival thickness and width in the context of mucogingival conditions, is recognized and a novel classification for gingival recessions is introduced; 5) there is no evidence that traumatic occlusal forces lead to periodontal attachment loss, non-carious cervical lesions, or gingival recessions; 6) traumatic occlusal forces lead to adaptive mobility in teeth with normal support, whereas they lead to progressive mobility in teeth with reduced support, usually requiring splinting; 7) the term biologic width is replaced by supracrestal tissue attachment consisting of junctional epithelium and supracrestal connective tissue; 8) infringement of restorative margins within the supracrestal connective tissue attachment is associated with inflammation and/or loss of periodontal supporting tissue. However, it is not evident whether the negative effects on the periodontium are caused by dental plaque biofilm, trauma, toxicity of dental materials or a combination of these factors; 9) tooth anatomical factors are related to dental plaque biofilm-induced gingival inflammation and loss of periodontal supporting tissues. CONCLUSION: An updated classification of the periodontal manifestations and conditions affecting the course of periodontitis and the periodontal attachment apparatus, as well as of developmental and acquired conditions, is introduced. Case definitions and diagnostic considerations are also presented.

Manifestations of systemic diseases and conditions that affect the periodontal attachment apparatus: Case definitions and diagnostic considerations.

OBJECTIVES: This review proposes case definitions and diagnostic considerations of systemic disorders and conditions that affect the periodontal attachment apparatus. IMPORTANCE: Periodontal diseases and certain systemic disorders share similar genetic and/or environmental etiological factors, and affected patients may show manifestations of both diseases. Characterizing these diseases and the nature of the association between them could have important diagnostic value and therapeutic implications for patients. FINDINGS: Numerous systemic disorders and certain medications can affect the periodontal attachment apparatus and cause loss of periodontal attachment and alveolar bone. Although many of these disorders are rare or uncommon, they often cause significant loss of periodontal tissue by influencing periodontal inflammation or through mechanisms distinct from periodontitis. Most of these disorders are due to innate mechanisms and some are acquired via environmental factors or lifestyle. Several disorders affect periodontal inflammation through alterations in the host immune response to periodontal infection; others cause defects in the gingiva or periodontal connective tissue, instigate metabolic changes in the host that affect various tissues of the periodontal apparatus, or operate by other mechanisms. For some systemic disorders that are more common, their contribution to the loss of periodontal tissue is modest, while for others, contribution is not supported by clear evidence. Few systemic medications are associated with increased loss of periodontal tissue, and these are typically medications used in the treatment of malignancies. CONCLUSIONS: This review identifies systemic diseases and conditions that can affect the periodontal attachment apparatus and cause loss of periodontal supporting tissues and, where possible, presents case definitions for these. Many of these diseases are associated with a profound loss of periodontal attachment and alveolar bone, and for some of these disorders the periodontal manifestations may be among the first signs of the disease. These case definitions may be useful in the early diagnosis of these diseases and may contribute to an improvement in the management of periodontal manifestations and improve the quality of life for these patients.

Periodontal manifestations of systemic diseases and developmental and acquired conditions: Consensus report of workgroup 3 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions.

BACKGROUND: A variety of systemic diseases and conditions can affect the course of periodontitis or have a negative impact on the periodontal attachment apparatus. Gingival recessions are highly prevalent and often associated with hypersensitivity, the development of caries and non-carious cervical lesions on the exposed root surface and impaired esthetics. Occlusal forces can result in injury of teeth and periodontal attachment apparatus. Several developmental or acquired conditions associated with teeth or prostheses may predispose to diseases of the periodontium. The aim of this working group was to review and update the 1999 classification with regard to these diseases and conditions, and to develop case definitions and diagnostic considerations. METHODS: Discussions were informed by four reviews on 1) periodontal manifestions of systemic diseases and conditions; 2) mucogingival conditions around natural teeth; 3) traumatic occlusal forces and occlusal trauma; and 4) dental prostheses and tooth related factors. This consensus report is based on the results of these reviews and on expert opinion of the participants. RESULTS: Key findings included the following: 1) there are mainly rare systemic conditions (such as Papillon-Lefevre Syndrome, leucocyte adhesion deficiency, and others) with a major effect on the course of periodontitis and more common conditions (such as diabetes mellitus) with variable effects, as well as conditions affecting the periodontal apparatus independently of dental plaque biofilm-induced inflammation (such as neoplastic diseases); 2) diabetes-associated periodontitis should not be regarded as a distinct diagnosis, but diabetes should be recognized as an important modifying factor and included in a clinical diagnosis of periodontitis as a descriptor; 3) likewise, tobacco smoking - now considered a dependence to nicotine and a chronic relapsing medical disorder with major adverse effects on the periodontal supporting tissues - is an important modifier to be included in a clinical diagnosis of periodontitis as a descriptor; 4) the importance of the gingival phenotype, encompassing gingival thickness and width in the context of mucogingival conditions, is recognized and a novel classification for gingival recessions is introduced; 5) there is no evidence that traumatic occlusal forces lead to periodontal attachment loss, non-carious cervical lesions, or gingival recessions; 6) traumatic occlusal forces lead to adaptive mobility in teeth with normal support, whereas they lead to progressive mobility in teeth with reduced support, usually requiring splinting; 7) the term biologic width is replaced by supracrestal tissue attachment consisting of junctional epithelium and supracrestal connective tissue; 8) infringement of restorative margins within the supracrestal connective tissue attachment is associated with inflammation and/or loss of periodontal supporting tissue. However, it is not evident whether the negative effects on the periodontium are caused by dental plaque biofilm, trauma, toxicity of dental materials or a combination of these factors; 9) tooth anatomical factors are related to dental plaque biofilm-induced gingival inflammation and loss of periodontal supporting tissues. CONCLUSION: An updated classification of the periodontal manifestations and conditions affecting the course of periodontitis and the periodontal attachment apparatus, as well as of developmental and acquired conditions, is introduced. Case definitions and diagnostic considerations are also presented.

Effect of Alcohol Consumption on Clinical Attachment Loss Progression in an Urban Population From South Brazil: A 5-Year Longitudinal Study.

BACKGROUND: The aim of this study is to investigate the impact of alcohol consumption on clinical attachment loss (AL) progression over a period of 5 years. METHODS: A multistage probability sampling strategy was used to draw a representative sample of the metropolitan area of Porto Alegre, Brazil. Five hundred thirty-two individuals (209 males and 293 females) aged 18 to 65 years at baseline with no medical history of diabetes and at least six teeth were included in this analysis. Full-mouth periodontal examinations with six sites per tooth were conducted at baseline and after 5 years. Alcohol consumption was assessed at baseline by asking participants about the usual number of drinks consumed in a week. Four categories of alcohol consumption were defined: 1) non-drinker; 2) ≤1 glass/week; 3) >1 glass/week and ≤1 glass/day; and 4) >1 glass/day. Individuals showing at least two teeth with proximal (clinical AL) progression ≥3 mm over 5 years were classified as having disease progression. Multiple Poisson regression models adjusted for age, sex, smoking, socioeconomic status, and body mass index were used to estimate relative risks (RRs) and 95% confidence intervals (CIs). RESULTS: Overall, individuals who consumed >1 glass/day had 30% higher risk for clinical AL progression (RR = 1.30; 95% CI: 1.07 to 1.58) than non-drinkers. Among males, risk of clinical AL progression for individuals drinking >1 glass/day was 34% higher than non-drinkers (RR = 1.34; 95% CI: 1.09 to 1.64). Never-smoker males drinking ≤1 glass/week had significantly lower risk for clinical AL progression than non-drinkers (RR = 0.52; 95% CI: 0.30 to 0.89), whereas those drinking >1 glass/day had significantly higher risk (RR = 1.50; 95% CI: 1.08 to 1.99). Among females, no association between alcohol consumption and clinical AL progression was observed. CONCLUSIONS: Alcohol consumption increased the risk of clinical AL progression, and this effect was more pronounced in males. Low dosages (≤1.37 g of alcohol/day) of alcohol consumption may be beneficial to prevent periodontal disease progression in males. The impact of alcohol cessation initiatives on periodontal health should be evaluated.

Aggressive and chronic periodontitis in a population of Moroccan school students.

AIM: This study assessed the prevalence, clinical characteristics, and demographics of chronic and aggressive periodontitis in a representative sample drawn from a subpopulation in Morocco. MATERIALS & METHODS: Eight hundred and thirty students representative of 12+ years old attending schools in the Province of Benslimane, Morocco were selected by a multi-phased, probability sampling. Their age was 12-25 years (mean: 16.1 years) and comprised of 50% males and 50% females. Chronic and aggressive periodontitis were determined clinically. RESULTS: A total of 31% and 10.1% of the subjects had ≥4 mm and ≥6 mm attachment loss, respectively; 4.9% had aggressive periodontitis, and 6.4% had chronic periodontitis. Subjects with chronic periodontitis typically had 4-5 mm attachment loss affecting a few molars or premolars. Subjects with aggressive periodontitis had ≥5 mm attachment loss affecting multiple teeth, and 68% and 73% of these subjects had ≥6 mm attachment loss affecting maxillary and mandibular molars respectively. Attachment loss and periodontitis were significantly more prevalent in the 19-25 years group, than the 12-18 years age group. There were no significant differences in disease prevalence by gender or ethnic groups (Arab versus Berber). CONCLUSION: This young Moroccan population is at high risk of destructive periodontal disease, and further studies are indicated to investigate the biological and environmental factors that may contribute to the increased risk of disease in this population.