BACKGROUND: The implant disease risk assessment (IDRA) tool was designed to assess an individual\'s risk of developing peri-implant diseases by evaluating and integrating multiple risk factors. This study aimed to evaluate the IDRA tool to determine the risk of developing peri-implant disease in patients rehabilitated with dental implants.
METHODS: A retrospective observational cross-sectional study was conducted, collecting data from 92 patients with 92 selected dental implants. Data included the history of periodontitis, sites with bleeding on probing (BoP), teeth and/or implants with probing depths (PDs) ≥ 5 mm, alveolar bone loss relative to the patient\'s age, susceptibility to periodontitis, the frequency of supportive periodontal therapy (SPT), the distance from the restorative margin (RM) of the implant-supported prosthesis to the marginal bone crest (MBC), and factors related to the prosthesis itself. Additionally, the validated instrument periodontal risk assessment (PRA) was employed for comparison. Statistical analyses utilized Chi-square, Mann-Whitney, and ROC curve.
RESULTS: Outcomes indicated that 62 implants (67.4%) were classified as high-risk. Among the IDRA parameters, history of periodontitis was the primary factor contributing to an increased risk (p < 0.001). IDRA revealed high sensitivity (100%) and low specificity (63%) (AUC = 0.685; 95% CI: 0.554-0.816; p = 0.047), and there was a low agreement between the IDRA and PRA tools (Kappa = 0.123; p = 0.014). The peri-implant disease developed in 16 implants with 5.44 (±2.50) years of follow-up, however, no significant association was observed between the high- and low-medium risk groups and the occurrence of peri-implant diseases.
CONCLUSIONS: Most of the evaluated implants presented high IDRA risk. The IDRA tool exhibited high sensitivity and low specificity; no significant association was observed between the risk profile and the development of peri-implant diseases.

BACKGROUND: Due to their modulatory effect on biofilm growth, bacterial gene expressions, and host-modulation effects, fermented foods and probiotic products could potentially have a protective role against peri-implant diseases. This cross-sectional study aimed to examine the association of consumption of fermented foods and products containing probiotics, with peri-implant health and diseases.
METHODS: A total of 126 implants were included. The peri-implant health status (peri-implantitis, peri-implant mucositis, and peri-implant health) was assessed through Chicago\'s Classification of periodontal and peri-implant Diseases and Conditions. A questionnaire was used to evaluate the consumption patterns of fermented and probiotic foods and product. One-way ANOVA was employed to compare the 3 peri-implant conditions categories in terms of fermented food and probiotic consumption.
RESULTS: There were significant differences in the daily and general consumption of yogurt, probiotic yogurt, kefir, ayran, vinegar, pomegranate syrup, whole meal bread, and homemade butter among peri-implantitis, peri-implant mucositis and peri-implant health (p < 0.05). The peri-implant health group consumed significantly more yogurt, kefir, ayran, vinegar, whole wheat bread, and homemade butter than peri-implant mucositis and peri-implantitis.
CONCLUSIONS: A higher consumption of fermented and probiotic foods may be associated with peri-implant health. Fermented and probiotic products may be useful for prevention of peri-implant diseases in patients with implants.

BACKGROUND: Today, a number of methods and ways of prevention and treatment of radiation- -induced mucositis of the oral cavity and oropharynx have been developed, but the represented approaches are still not effective enough. Therefore, to increase the effectiveness of the prevention and treatment of radiation-induced mucositis, it is necessary to approach this problem comprehensively and individually, and to evaluate the factors affecting the development of mucositis.
METHODS: In this single-center prospective controlled non-randomized clinical trial, the results of clinical observation of the development of complications of radiation and chemoradiation therapy in 105 patients with a newly diagnosed squamous cell cancer of the oral cavity and oropharynx were analyzed. Factors affecting the risk of the development of grade III radiation-induced mucositis including the age, gender of the patients, their general condition before the treatment according to World Health Organisation scales, type of the treatment and its doses, additional use of immunotherapy with alpha/beta defensins, characteristic signs of the tumor process and all indices of the immune status of the patients before the treatment have been analyzed.
RESULTS: The method of construction and analysis of one-factor logistic regression models, where 24 indices were analyzed as factorial features, showed that the reduction of the risk of the development of grade III radiation-induced mucositis is predicted by several factors: immunotherapy, gender, serum concentrations of IgG and IgA. A decrease (P < 0.001) in the risk of the development of grade III radiation-induced mucositis was revealed if immunotherapy with alpha/beta defensins (with a total dose of 40 mg) was included into the treatment scheme (relative odds (RO) 0.05; 95% reference interval (RI) 0.02-0.18), in comparison with patients of the groups where it was not present or this immune agent was used in a total dose of 60 mg (P = 0.001, RO 0.06; 95% RI 0.01-0.30). The next factorial sign was gender, namely the risk of the development of grade III radiation-induced mucositis was lower for men (P = 0.003; RO 0.15; 95% RI 0.04-0.53) compared to women. An increase (P = 0.024) in the risk of the development of grade III radiation-induced mucositis with an increase in the initial level of IgG serum concentration was revealed, (RO 1.08; 95% RI 1.01-1.16) for each 1 mg/mL, as well as an increase (P = 0.044) in the possibility of the appearance of grade III radiation-induced mucositis with an increase in the serum concentration of IgA (RO 1.23; 95% RI 1.01-1.50) for every 1 mg/mL also before the beginning of the treatment. Multifactorial analysis has also confirmed that the risk of the development of grade III radiation-induced mucositis increases (P = 0.008) with a high serum IgG concentration before the treatment or with an increase in this index during therapy (RO 1.13; 95% RI 1.03-1.09) for every 1 mg/mL (when standardized by other risk factors). It was determined that when standardizing according to other factors (gender, IgG level), the risk of the development of grade III radiation-induced mucositis in the use of the immune agent alpha/beta defensins in a total dose of 40 mg per course decreases (P < 0.001; RO 0.08; 95% RI 0.02-0.27) compared to patients with oral cavity and oropharynx cancer who were not treated with immunotherapy. The risk of the development of grade III radiation-induced mucositis also decreases (P = 0.001) in the use of immunotherapy in a higher dose, i.e. 60 mg per course (RO 0.03; 95% RI 0.004-0.24 compared to patients whose treatment did not include immunotherapy (when standardized by other factors).
CONCLUSIONS: As a result of this controlled clinical study, some factors were determined in addition to the radiation as those affecting the risk of the development of grade III radiation-induced mucositis in patients with oral cavity and oropharynx cancer during special treatment. These factors comprise the inclusion of immunotherapy with alpha/beta defensins into the specific treatment; gender, and baseline levels of serum IgG and IgA concentrations suggest a pattern in which the higher the serum IgG and IgA concentrations are before the start of the treatment, the greater is the likelihood of severe radiation-induced mucositis degree during special therapy. The results of the study of humoral state of the immune system in patients with oral cavity and oropharynx cancer before the beginning of chemoradiation therapy can be used as prognostic risk factors for the development of severe gamma-irradiation-induced mucositis of the oropharyngeal area, as well as an indication for the use of immunotherapeutic agents (in particular, alpha/beta defensins) that are able to polarize the immune response towards type 1 T-helpers through their immunomodulatory action.

BACKGROUND: The efficacy of cancer treatments has links to the intestinal microbiome. Mucositis is a dose-limiting intestinal pro-inflammatory side effect of cancer treatments, that increases the risk of diarrhoea, mucositis, and in severe cases, febrile neutropenia.
METHODS: The effect of cancer treatments on Quality of Life (QoL) was assessed using the FACT C questionnaire that included patient wellbeing and gut adverse symptoms (e.g. diarrhoea). Participants rated faecal samples via the Bristol Stool Chart. In addition, bacterial DNA was extracted from faecal samples, sequenced, and taxonomically examined. The incidence / severity of neutropenia was assessed with white blood cell and neutrophil counts. Circulating SCFAs and plasma lipopolysaccharide (LPS) endotoxin levels were recorded and correlated to intestinal mucositis.
RESULTS: Improvement in bowel function, with reduction in constipation and or diarrhoea or absence of significant disturbance to bowel function was recorded in 85% of the participants. One participant developed febrile neutropenia and two developed bowel toxicity during the study, that was unrelated to the test formulation. No significant changes in microbiota alpha- and beta-diversity at the phylum and species levels respectively from baseline to end of study treatment was observed. None of the participants had raised plasma-endotoxin levels from baseline to the first and subsequent treatment cycles for their cancers. Probiotics in this cohort were deemed safe and tolerable. Significant improvement in emotional QoL scores (p = 0.015) was reported with increased number of chemotherapy cycles. In a related observational study of exceptional responders to chemotherapy, participants were found to have had a high intake of fruits, vegetables, and fibre possibly indicative of a more balanced intestinal microbiota.
CONCLUSIONS: A multi-strain probiotic formulation was safe and tolerated in this chronically ill cohort that were undergoing oncological treatment. The probiotic formulation alleviated diarrhoea, constipation and maintained stool consistency/frequency during the multiple treatments with chemotherapy and radiotherapy. Intestinal dysbiosis that is characterised by decreased microbial diversity and increased pro-inflammatory species was not observed. Probiotic supplementation may have helped reduce dysbiosis during cancer treatments. These improvements may have been critical with the observation that emotional wellbeing was significantly improved from baseline. Hence albeit that the study had limitations, the probiotic intervention provided adjunctive treatment support to the patients. What is of scientifically plausible interest is that probiotics have a long association historically with human hosts and as such ratify their inclusion offering a significant adjunctive therapeutic potential. Future studies warrant larger sample sizes, control groups and should limit recruitment to a largely homogenous group of patients.

OBJECTIVE: This study aimed to evaluate the potential of Endothelin-1 (ET-1), a peptide derived from vascular endothelial cells, as a biomarker for diagnosing peri-implant diseases.
METHODS: A cohort of 29 patients with a total of 76 implants was included in this study and subsequently divided into three groups based on peri-implant clinical parameters and radiographic examination: healthy (peri-implant health) (n = 29), mucositis (n = 22), and peri-implantitis (n = 25) groups. The levels of ET-1 (ρg/site) and interleukin (IL)-1β (ρg/site) in peri-implant sulcus fluid (PISF) samples were determined using enzyme immunoassay. Statistical analyses were conducted using Kruskal-Wallis and Steel-Dwass tests. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic performance of the biomarkers.
RESULTS: ET-1 levels were significantly elevated in the peri-implantitis group compared to those in the healthy group, and were highest in the peri-implant mucositis group. Additionally, IL-1β levels were significantly higher in the peri-implantitis group than those in the healthy group. ROC curve analysis indicated that ET-1 exhibited superior area under the curve values, sensitivity, and specificity compared to those of IL-1β.
CONCLUSIONS: Our findings suggest that the presence of ET-1 in PISF plays a role in peri-implant diseases. Its significantly increased expression in peri-implant mucositis indicates its potential for enabling earlier and more accurate assessments of peri-implant inflammation when combined with conventional examination methods.

Undernutrition in children with cancer is associated with complications during cancer therapy. The study objective was to determine the association between specific anthropometric parameters and short-term chemotherapy-related complications and mortality. This was a hospital-based, prospective cohort study of children, age ≤12 years, with a new cancer diagnosis at the Paediatric Oncology Unit, Korle Bu Teaching Hospital, Ghana. Socio-demographic information, cancer characteristics and anthropometric measurements were obtained at enrolment. Participants were followed up for twelve weeks from commencement of chemotherapy and selected treatment-related complications such as anaemia and thrombocytopenia requiring transfusions, prolonged neutropenia resulting in treatment delays, febrile neutropenia, mucositis and death were recorded. A total of 133 participants were recruited with a median age of 4.5 years. Eighty-one (60.9%) were diagnosed with solid tumours, 31 (23.3%) had leukaemias and 21 (15.8%) had lymphomas. Of the anthropometric parameters assessed, only arm anthropometry using upper arm muscle area (UAMA) and mid-upper arm circumference (MUAC) were associated with complications. Participants with wasting were more likely to develop anaemia and mucositis. However, the incidence of prolonged neutropenia was significantly higher among participants with average UAMA (p = 0.043) and low average UAMA (p = 0.049) compared to those with low UAMA. Risk of neutropenia was also significantly less among those with wasting by MUAC compared to those well-nourished (p = 0.045). Twenty-three participants (17.3%) died with a greater proportion (11/44; 25%) occurring in those who were wasted using MUAC. These findings underscore the need for nutritional surveillance at diagnosis and during chemotherapy, particularly where co-morbid disease is prevalent.

OBJECTIVE: To evaluate the most effective method for mechanical inter-dental plaque removal between inter-dental brushes (IDB) and dental floss (DF), in addition to toothbrushing in patients affected by peri-implant mucositis (PIM); to identify possible factors related to the patient or to the single implant-supported element that could influence plaque accumulation and inflammation of peri-implant tissues.
METHODS: Forty patients with PIM were recruited. They were randomly assigned to two different groups depending on inter-dental device used (IDB or DF). At baseline (T0), interproximal area (IA), interproximal emergence angle of the implant crown (A°) and manual dexterity (evaluated with Purdue Pegboard) have been recorded. At 14 days (T1), the inter-dental cleaning devices have been inverted between groups. After 14 days (T2), the Plaque Index (PI) and Gingival Index (GI) have been recorded. A questionnaire has been submitted to a patient for the analysis of preferences at T0, T1 and T2.
RESULTS: Both inter-dental cleaning devices were effective in reducing PI and GI in the inter-dental area after 14 days of use. GI reduction was influenced by manual dexterity of the dominant hand. No significant differences were found for PI and GI at the variation of IA and A°.
CONCLUSIONS: IDB was the most effective method for inter-dental plaque removal in all subjects regardless of their manual dexterity. DF seems to be more effective than IDB only in subjects with good dexterity.

OBJECTIVE: Leukemias have been associated with oral manifestations, reflecting susceptibility to cancer therapy-induced oral mucositis. We sought to identify SNPs associated with both leukemia and oral mucositis (OM).
METHODS: Whole exome sequencing was performed on leukemia and non-cancer blood disorder (ncBD) patients\' saliva samples (N = 50) prior to conditioning therapy. WHO OM grading scores were determined: moderate to severe (OM2-4) vs. none to mild (OM0-1). Reads were processed using Trim Galorev0.6.7, Bowtie2v2.4.1, Samtoolsv1.10, Genome Analysis Toolkit (GATK)v4.2.6.1, and DeepVariantv1.4.0. We utilized the following pipelines: P1 analysis with PLINK2v3.7, SNP2GENEv1.4.1 and MAGMAv1.07b, and P2 [leukemia (N = 42) vs. ncBDs (N = 8)] and P3 [leukemia + OM2-4 (N = 18) vs. leukemia + OM0-1 (N = 24)] with Z-tests of genotypes and protein-protein interaction determination. GeneCardsSuitev5.14 was used to identify phenotypes (P1 and P2, leukemia; P3, oral mucositis) and average disease-causing likelihood and DGIdb for drug interactions. P1 and P2 genes were analyzed with CytoScape plugin BiNGOv3.0.3 to retrieve overrepresented Gene Ontology (GO) terms and Ensembl\'s VEP for SNP outcomes.
RESULTS: In P1, 457 candidate SNPs (28 genes) were identified and 21,604 SNPs (1016 genes) by MAGMAv1.07b. Eighteen genes were associated with \"leukemia\" per VarElectv5.14 analysis and predicted to be deleterious. In P2 and P3, 353 and 174 SNPs were significant, respectively. STRINGv12.0 returned 77 and 32 genes (C.L. = 0.7) for P2 and P3, respectively. VarElectv5.14 determined 60 genes from P2 associated with \"leukemia\" and 11 with \"oral mucositis\" from P3. Overrepresented GO terms included \"cellular process,\" \"signaling,\" \"hemopoiesis,\" and \"regulation of immune response.\"
CONCLUSIONS: We identified candidate SNPs possibly conferring susceptibility to develop leukemia and oral mucositis.

BACKGROUND: The prevalence of peri-implant diseases, driven by biofilm accumulation and influenced by factors such as the width of keratinized mucosa (KM), underscores the need for understanding their etiology and management.
OBJECTIVE: To evaluate the association between the KM width and the clinical resolution of peri-implant mucositis after mechanical therapy.
METHODS: Patients with an implant diagnosed with peri-implant mucositis were allocated to two groups: wide band of KM (WKM ≥ 2 mm) and narrow/no band of KM (NKM < 2 mm). Data and submucosa biofilm were collected at baseline and at 8, 12, and 24 weeks after nonsurgical therapy. A Brunner-Langer model was estimated for longitudinal data to evaluate and compare changes in any clinical parameter throughout follow-up between both groups. Furthermore, the microbial profiles were evaluated by 16S rRNA gene sequencing.
RESULTS: A total of 38 implants were analyzed. At 24 weeks, bleeding on probing was substantially reduced in both groups, reaching statistical significance (p < 0.001). Treatment resulted in 23.9% less effective in achieving success for NKM. As such, NKM reduced the odds of disease resolution by 80% compared to WKM. The rest of the explored clinical parameters yielded more favorable outcomes for WKM versus NKM. Neither the alpha nor the beta diversity of the microbial profiles were significantly modulated by KM.
CONCLUSIONS: KM width influences the clinical resolution of peri-implant mucositis after mechanical therapy (https://clinicaltrials.gov/study/NCT04874467?cond=keratinized%20mucosa&rank=8, NCT04874467, 04/30/2021).

OBJECTIVE: To investigate whether the lack of keratinized mucosa (KM) affects peri-implant health after 10 years of loading.
METHODS: Data from 74 patients with 148 implants from two randomized controlled studies comparing different implant systems were included and analyzed. Clinical parameters including bleeding on probing (BOP), probing depth (PD), plaque index, marginal bone loss (MBL), and KM width (KMW) at buccal sites were collected at baseline (time of the final prosthesis insertion), 5-year and 10 years postloading. Multivariable logistic and linear regression models by means of a generalized estimated equation (GEE) were used to evaluate the influence of buccal KM on peri-implant clinical parameters; BOP, MBL, PD, and adjusted for implant type (one-piece or two-piece) and compliance.
RESULTS: A total of 35 (24.8%) implants were healthy, 67 (47.5%) had mucositis and 39 (27.6%) were affected by peri-implantitis. In absence of buccal KM (KM = 0 mm), 75% of the implants exhibited mucositis, while in the presence of KM (KMW >0 mm) 41.2% exhibited mucositis. Regarding peri-implantitis, the corresponding percentages were 20% (KM = 0 mm) and 26.7% (KM >0 mm). Unadjusted logistic regression showed that the presence of buccal KM tended to reduce the odds of showing BOP at buccal sites (OR: 0.28 [95% CI, 0.07 to 1.09], p = 0.06). The adjusted logistic regression model revealed that having buccal KM (OR: 0.21 [95% CI, 0.05 to 0.85], p = 0.02) and using two-piece implants (OR: 0.34 [95% CI, 0.15 to 0.75], p = 0.008) significantly reduced the odds of showing BOP. Adjusted linear regression by means of GEE showed that KM and two-piece implants were associated with reduced MBL and MBL changes (p < 0.05).
CONCLUSIONS: The lack of buccal KM appears to be linked with peri-implant parameters such as BOP and MBL, but the association is weak. The design of one-piece implants may account for their increased odds of exhibiting BOP.