Henrik Jansson

Salivary Biomarkers for Detection of Systemic Diseases

Background and Objective Analysis of inflammatory biomarkers in saliva could offer an attractive opportunity for the diagnosis of different systemic conditions specifically in epidemiological surveys. The aim of this study was to investigate if certain salivary biomarkers could be used for detection of common systemic diseases. Materials and Methods A randomly selected sample of 1000 adults living in Skåne, a county in the southern part of Sweden, was invited to participate in a clinical study of oral health. 451 individuals were enrolled in this investigation, 51% women. All participants were asked to fill out a questionnaire, history was taken, a clinical examination was made and stimulated saliva samples were collected. Salivary concentrations of IL-1β, -6, -8, TNF-α, lysozyme, MMP-8 and TIMP-1 were determined using ELISA, IFMA or Luminex assays. Results Salivary IL-8 concentration was found to be twice as high in subjects who had experience of tumour diseases. In addition, IL-8 levels were also elevated in patients with bowel disease. MMP-8 levels were elevated in saliva from patients after cardiac surgery or suffering from diabetes, and muscle and joint diseases. The levels of IL-1β, IL-8 and MMP-8, as well as the MMP-8/TIMP-1 ratio were higher in subjects with muscle and joint diseases. Conclusion Biomarkers in saliva have the potential to be used for screening purposes in epidemiological studies. The relatively unspecific inflammatory markers used in this study can not be used for diagnosis of specific diseases but can be seen as markers for increased systemic inflammation.

Impact of Periodontal Disease Experience on Oral Health-Related Quality of Life

BACKGROUND Periodontal research has traditionally focused on the site level, regarding etiology, pathogenesis, and treatment outcome. Recently, some studies have indicated that the presence of periodontal disease is associated with reduced quality of life. The aim of this study is to investigate the impact of periodontal disease experience on the quality of life. METHODS This cross-sectional study includes 443 individuals. Clinical and radiographic examinations were performed; in conjunction, the oral health-related quality of life of all participants was assessed using the Swedish short-form version of the Oral Health Impact Profile (OHIP-14). Based on marginal bone loss, measured on radiographs, three different groups were identified: participants with loss of supporting bone tissue of less than one third of the root length (BL-), loss of supporting bone tissue of one third or more of the root length in <30% of teeth (BL), or loss of supporting bone tissue of one third or more of the root length in ≥ 30% of teeth (BL+). RESULTS The effect of periodontal disease experience on quality of life was considerable. For the BL- group, the mean OHIP-14 score was 3.91 (SD: 5.39). The corresponding mean values were 3.81 (SD: 5.29) for the BL group and 8.47 (SD: 10.38) for the BL+ group. The difference among all groups was statistically significant (P ≤ 0.001). A comparison among the mean OHIP-14 scores in the different groups (BL-, BL, and BL+) revealed significant differences in six of seven conceptual domains. CONCLUSIONS The BL+ individuals experienced reduced quality of life, expressed as the OHIP-14 score, compared with the BL and BL- participants.

Periodontal disease in Norwegian old‐age pensioners

PURPOSE  To identify factors of importance for periodontal health and disease on an old-age Norwegian population. MATERIALS AND METHODS From a random sample of 1152 urban and rural elderly Norwegians, aged 67 years or older, 582 individuals were agreed to participate in the study. After exclusion of edentulous individuals, 394 individuals were remained. A standardised clinical examination was performed by the same examiner. In conjunction with the clinical examination, a questionnaire was filled out regarding demographic and social status, educational level, tobacco habits and general condition. RESULTS In the examined population, 33% of the subjects had periodontal disease. Out of those, 12% had severe periodontitis, that is, ≥3 periodontal pockets ≥6 mm. All variables were tested separately in a logistic regression model with periodontal pockets 6 mm and above, as the outcome variable. After univariate testing the following variables were included in a multivariate logistic regression model: daily smoking, higher plaque score, rural living and lower education. Only daily smoking remained significantly correlated to periodontal disease in the multivariate model. CONCLUSIONS  This study has shown a prevalence of periodontal disease in 33% of the study population. Out of those approximately 12% had more severe periodontitis. Daily tobacco use was the only factor significantly correlated to presence of periodontal disease.

Oral Health Status of Older Adults in Sweden Receiving Elder Care Findings From Nursing Assessments

BackgroundFrail elderly people often have poor oral hygiene, contributing to oral health problems that can detract significantly from quality of life. ObjectiveThe aim of this study was to describe oral health status of frail elderly individuals using the Revised Oral Assessment Guide-Jönköping (ROAG-J), a mouth assessment instrument that can be used in daily nursing care. MethodsData were obtained from the Swedish Senior Alert quality registry in one Swedish municipality. ROAG-J assessments on admission to elder care and one subsequent occasion were used. ROAG-J measurements documented oral health in nine areas: voice, lips, oral mucosa, tongue, gums, teeth, saliva, swallowing, and presence of any prostheses or implants. Assessments were made by nursing staff during the course of daily nursing care. ResultsIndividuals 65 years of age or older and receiving elder care services (N = 667) were involved; 1,904 assessments made between November 2011 and March 2014 were used for the analysis. On the basis of both assessments, less than one third of participants had oral health problems. No significant difference in any of the oral health variables was found between first and subsequent assessments. At first assessment, men and women differed in tongue health (p < .01); at the subsequent assessment, gender differences in voice (p < .05), mucous membranes (p < .003), tongue (p < .01), and saliva (p < .006) were observed. DiscussionMost participants had good oral health. Assessments made by nursing staff using the ROAG-J demonstrate that this tool can be used in daily nursing care, where different, important oral conditions may be encountered. However, knowledge about oral health conditions and the ROAG-J instrument is important to ensure high validity. The ROAG-J enables nursing staff to detect problems in the mouth and to guide decisions related to oral health interventions.

Oral health-related quality of life in Iranian patients with spinal cord injury: a case-control study

INTRODUCTION The study aimed to compare the oral health variables, general, and oral health-related quality of life (QoL), depression, and anxiety between spinal cord injury (SCI) patients and healthy controls and also to determine the key factors related to the oral health-related quality of life (OHRQoL) in the SCI patients. METHODS A total of 203 SCI patients and 203 healthy controls were enrolled. Patients and healthy adults were invited to attend a dental clinic to complete the study measures and undergo oral clinical examinations. OHRQoL was assessed by the 14-item Oral Health Impact Profile (OHIP-14), and the general health-related quality of life (GHRQoL) was evaluated by SF-36. In SCI patients, depression and anxiety were recorded using the Hospital Anxiety and Depression Scale (HADS), while Functional Assessment Measure (FAM) was used to assess dependence and disability. All the subjects were examined for caries which was quantified using the decayed, missing, and filled Teeth (DMFT) index, gingival bleeding index (GI), plaque index, and periodontal status by community periodontal index (CPI). RESULTS The analysis of covariance (ANCOVA) revealed significant differences between the two groups in terms of oral health expressed in DMFT, oral hygiene, and periodontal status, controlled for age, gender, family income, and occupational status (p<0.001). Using the hierarchical linear regression analyses, in the final model, which accounted for 18% of the total variance (F(126.7), p<0.01), significant predictors of OHRQoL were irregular tooth brushing (β=1.23; 95% CI=1.06; 1.41), smoking (β=0.82; 95% CI=0.66; 0.97), dry mouth (β=0.37; 95% CI=-0.65 to 0.10) functional and motor functioning (β=0.32; 95% CI=-0.45 to 0.17), DMFT (β=0.06; 95% CI=0.02; 0.09), CPI (β=0.22; 95% CI=0.04; 0.04), physical component measure of GHRQoL (β=-0.275; 95% CI=-0.42 to 0.13), lesion level at the lumbar-sacral (β=-0.18; 95% CI=-0.29 to -0.06) and thoracic level (β=-0.09; 95% CI=-0.11 to -0.06). CONCLUSION SCI patients had poor oral hygiene practices, greater levels of plaque, gingival bleeding, and caries experience than the healthy controls. In addition, more number of SCI patients had periodontal pockets and dry mouth than the comparative group. SCI patients experienced more depression and anxiety, poor GHRQoL, and OHRQoL than the healthy control group. The factors that influenced OHRQoL in SCI patients were age, toothbrushing frequency, smoking, oral clinical status, depression, physical component of GHRQoL, and level of lesion.