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The association between rheumatoid arthritis and periodontal disease in a population-based cross-sectional case-control study

BMC Rheumatology volume 4, Article number: 31 (2020) Cite this article

Abstract

Background

The association between rheumatoid arthritis (RA) and periodontitis remains unclear.

Methods

We studied oral health and periodontitis in a population-based case-control study of individuals with ≥10 remaining teeth ≥61 years of age and either with, or without a diagnosis of RA. 126 dentate individuals with RA were recruited together with age-matched control individuals without RA. The control individuals were recruited from the general population from the same city (n = 249). A dental examination including a panoramic radiograph was performed on all participants. All individuals with RA were examined and medical records were reviewed by a rheumatologist. In the control group, none of the participants presented with symptoms of RA and their medical records were also negative.

Results

The RA group included more women (66.7% vs. 55.8%) (p < 0.01). Individuals in the RA group had a higher body mass index (BMI) (p < 0.001). A diagnosis of periodontitis was more common in the RA group (61.1%) than in the control group (33.7%) (p = 0.001). Binary logistic regression analysis identified that a BMI > 25 (OR 6.2, 95% CI 3.6, 10.5, p = 0.000), periodontitis (OR 2.5 95% CI 1.5, 4.2 p = 0.000), and female gender (OR 2.3, 95% CI 1.3–4.0, p = 0.003) were associated with RA.

Conclusion

RA was associated a diagnosis of periodontitis.

Peer Review reports

Background

Rheumatoid arthritis (RA) is a chronic inflammatory disease with multifactorial etiologies [1]. RA is a complex disease involving genetic, autoimmunity, infection, gender, smoking, and environmental factors [2,3,4,5]. Several other conditions have been identified as comorbidities to RA including cardiovascular disease, malignancies and osteoporosis [6].

The infectious etiology of periodontitis is well established [7, 8]. Genetic predisposition has also been associated with infectious susceptibility in subjects with periodontitis [9]. Although RA is a disease of the joints, and periodontitis a disease of the oral soft tissues and alveolar bone, both disease entities include chronic inflammation resulting in connective tissue breakdown and bone erosion.

Recent data suggest that the HLA-DRB1 genetic locus is strongly associated with susceptibility to RA through citrullinated self-peptides binding to HLA-DR molecules [10]. Porphyromonas gingivalis is considered as a critical pathogen in periodontitis, and the only currently known human pathogen expressing peptidyl arginine deiminase [11,12,13]. This enzyme generates citrullinated epitopes recognized by anti-citrullinated protein antibodies which has been linked to RA [14]. In one prospective study, periodontitis was more common among individuals with RA who also had higher levels of Porphyromonas gingivalis in deeper periodontal pockets than found in control individuals [15]. At the follow-up examinations, individuals with RA receiving treatment of the disease with a disease-modifying antirheumatic drug (DMARD) still showed poor periodontal conditions [15].

The association between periodontitis and RA has been studied in several studies [15,16,17,18,19,20,21,22,23,24]. In some studies, a high prevalence of periodontitis, and tooth loss in individuals with RA has been identified [16, 21, 22]. In contrast, data from the National Health and Nutrition Survey (NHANES I) suggest that although individuals with periodontitis, or ≥ 5 missing teeth experienced higher odds of prevalence/incidence of RA, most odds ratios published were non-statistically significant [25].

The objective of the present population-based cross-sectional study was to assess if a diagnosis of periodontitis is more common in individuals (≥ 61 years) with RA than among age-stratified individuals from the normal population without a diagnosis of RA.

Methods

The study complies with the Declaration of Helsinki. The Regional Ethical Review Board at Lund, Sweden, approved the study (LU 2013/323). The study individuals gave their informed consent to participate in the study. All study individuals received their dental and medical assessments between 2013 and 2015.

Selection of study individuals

Individuals in the RA group were identified from medical electronical records at the regional hospitals of Region Blekinge (population 153,000 in 2013). To be included in the study, RA patients (M05 and M06, International Classification of Diseases ICD-10) had to be > 61 years of age and living in Karlskrona city (population 64,000). A total of 233 individuals age ≥ 61 diagnosed with RA were identified and invited to participate in the study. Classification of the RA patients was performed according to the 1987 ACR RA criteria [26] and the 2010 ACR/EULAR classification criteria [27]. Consent to participate was given by 132 individuals with RA. Following the dental examinations only those individuals with ≥10 remaining teeth were included which resulted in 126 study participants with a diagnosis of rheumatoid arthritis. The study enrollment flow chart is presented in Fig. 1. The age of > 61 years in the RA patients was chosen to be able to match the RA patients with controls (see below).

Fig. 1
figure 1

264 individuals with a medical record of rheumatoid arthritis

Full size image

All individuals with RA were examined at the outpatient rheumatology clinic by rheumatologists. Medical records of the RA patients and controls were also reviewed by a rheumatologist (author MS). Data on RA disease activity, and current antirheumatic medications at inclusion were identified at the rheumatologists’ visit and confirmed from the Swedish Rheumatology Quality Register online (www.srq.se). Data on disease duration, previous anti-rheumatic medications, comorbidities, osteoporosis, smoking habits, occupation, body mass index (BMI), the total number of drugs and blood analysis including cholesterol levels, rheumatoid factor were recorded.

The individuals in the control group were chosen among 1101 dentate individuals participating in the ongoing Swedish Study on Aging and Care study in Blekinge (SNAC - Blekinge). The SNAC study is a longitudinal cohort study including individuals from the normal population who at the time of enrolment were 60 years of age or older (www.snac.org). Based on age characteristics two age-matched individuals (control group) were identified from the SNAC study to each individual with RA. The age matching was performed such that one control individual with a birth date within a few months before the RA individual, and one control individual with a birth date within a few months after the RA individual were selected. The range of age of the controls was 60–89. In the control group, none of the participants presented with symptoms of RA and their medical records were also negative. Thus, these control individuals were defined as not having a diagnosis of RA. All control individuals must also have ≥10 remaining teeth. A total of 249 control individuals were included in the study.

Demographics and health characteristics

Information on socio-economic status (white/blue collar workers), smoking history, and diabetes was obtained. Smoking status defined as current/past smoker or never smoker. Overweight was defined as BMI > 25. Data from medical records were assessed to identify whether a diagnosis of cardiovascular diseases, stroke, interstitial lung disease, osteoporosis, or other diseases were associated with RA or periodontitis. In the statistical analyses of these factors dichotomized data were used.

Dental examinations

A dental hygienist performed the clinical dental examinations of all study individuals. The examination also included a panoramic radiograph. Radiographs were assessed for the number of remaining teeth, measurements of alveolar bone levels, and identification of other dental conditions. The radiographic assessments were performed by a periodontist (author GRP) who was unaware of the participants´ medical conditions.

The following dental examinations were performed:

  1. 1.

    Measurements of probing pocket depths at four surfaces at all teeth and dental implants (mesial, buccal, distal, lingual/palatal).

  2. 2.

    The extent of bleeding on probing (BOP) was recorded within 30 s after probing of probing pocket depth measurements and assessed at the same four surfaces as above.

  3. 3.

    Dental plaque scores were assessed at the same four surfaces (mesial, buccal, distal, lingual/palatal) at all teeth and dental implants.

  4. 4.

    Tooth decay was recorded as open decay.

  5. 5.

    The presence/absence of abnormal mucosal conditions was recorded.

  6. 6.

    The number of remaining teeth was registered and confirmed from the radiographs.

  7. 7.

    The extent of alveolar bone loss (mm distance between the cement-enamel junction (CEJ) and bone level at interproximal sites) was assessed from panoramic radiographs. The proportions of sites with a depth ≥ 4 mm and ≥ 5 mm in relation to the number of assessed interproximal sites were calculated to arrive at a subject based number defining bone loss. The distances were assessed using digital images and the Osirix software version 9.0 (Pixmeo, SARL, Bernex, Switzerland).

Definition of gingivitis and periodontitis

Gingivitis was defined as having ≥20% of measured sites with evidence of bleeding on probing. Periodontitis was defined as the clinical presence of bleeding on probing at > 20% of recorded tooth surfaces, presence of > 2 non-adjacent sites with a probing pocket depth (PPD) ≥ 5 mm, presence of bone loss at ≥2 sites with a distance between cement enamel junction-to bone level of ≥5 mm, or if evidence of a furcation invasion at molar teeth was found either clinically (grade II), or clearly visible on panoramic radiographs. The parameters for gingivitis and periodontitis were used in a dichotomous composite periodontal index. All study individuals must have at least 10 remaining teeth.

Statistics

Independent T-tests for continuous variables (equal variance not assumed) were performed to compare data between individuals in the RA and control groups. The Mann-Whitney test was used for non-parametric data. Chi-square analyses were used for dichotomous variables. The radiographs were read twice. The results from intraclass correlation were analysed to define the precision of the radiographic readings. The data were also analyzed using backward logistic binary regression analysis including variables known to be linked to RA and periodontitis. Statistical analyses were performed using IBM SPSS Statistics version 25 (Armonk NY, USA).

Results

Data from 126 individuals with RA were analyzed giving a catchment of 54%. The 110 RA patients who declined to participate in the study were older (74 vs. 70, p = 0.0001), had a higher mean erythrocyte sedimentation rate (ESR) (27 vs. 19, p = 0.0001), had a higher mean DAS28ESR (Disease Activity Score using ESR) (3.4 vs. 3.0, p = 0.005) and were less often on biologics (7% vs. 22%, p = 0.003), but did not otherwise differ from the RA patients included in the study. A total of 83% of the RA patients fulfilled the 1987 ACR classification criteria and 71% the 2010 ACR/EULAR classification criteria for RA. The period prevalence of RA was 1.5%.

Demographics and health characteristics of the study population

Demographics and health characteristics of the study population are summarized in Table 1.

Table 1 Demographics and health characteristics of the study population. * data missing in some cases
Full size table

All study individuals in the RA group were born in Sweden. The study group with a diagnosis of RA included more women than in the control group (p < 0.01). The mean BMI was higher in the RA group (p < 0.001). Interstitial lung disease was more common in individuals with RA (p = 0.002). Analyses failed to demonstrate study group difference by socio-economic status (SES) (p = 0.72), or for a history of smoking (p = 0.58). The age matching criteria were successful in recruiting individuals of similar ages (both with a mean value of 70 years) for the two study groups (p = 0.39).

Rheumatoid arthritis

Table 2 describes the disease activity assessments, and antirheumatic medications for the study individuals with RA. Among the individuals with RA, 66% were on DMARDs (disease-modifying antirheumatic drugs), 57% were using methotrexate, 22% were using biologics and 45% were medicated with glucocorticoids. A majority of the individuals in the RA group (63%) were in remission or diagnosed as having low disease activity. Using ≥25 U/mL anti- CCP-2 (antibodies against citrullinated proteins) analysis in serum, 66% of the study individuals were positive.

Table 2 Disease activity variables for individuals with RA
Full size table

Findings from the dental examination

Data from the dental examination are presented in Table 3. Radiographic evidence of bone loss (distance between CEJ to bone ≥5 mm) was more common in the RA-group (p = 0.03). The number of remaining teeth was higher in the control group (p = 0.001). No significant group differences were, however, found for the number of sites with a PPD value ≥5 mm, BOP, or plaque scores, the number of root remnants, or peri-apical lesions. Data analyses were also unable to show group differences for the number of teeth with open carious lesions (p = 0.30), or for the number of dental implants present. In addition, no group differences were found regarding the number of dental visits per year (94% vs 90%, P = 0.30). A dental diagnosis of periodontitis based on the composite periodontal index was higher in the RA group (p < 0.001).

Table 3 Dental characteristics of study individuals in the RA and control groups
Full size table

Subset analysis of periodontal conditions by gender among individuals in the RA group

There were no gender differences regarding the number of remaining teeth (p = 0.81), the extent of bleeding on probing (p = 0.65), the number of tooth sites with a probing depth ≥ 5 mm (p = 0.98), or the bone level distance ≥5 mm (p = 0.75). Also, no gender difference in the presence or absence of periodontitis was found (p = 0.92).

Treatment with methotrexate, DMARDs, biologics, glucocorticoids and non-steroidal anti-inflammatory drugs (NSAIDs) had no impact on periodontal conditions (p values varied between 0.70 and 0.95).). A sub analysis on RA patients with a positive or negative anti-CCP titer was also performed. In this sub analysis no association between anti-CCP positivity and periodontitis was found (p = 0.92).

Subset analysis of periodontal conditions by gender among individuals in the control group

There were no gender differences regarding the number of remaining teeth (p = 0.49), the extent of bleeding on probing (p = 0.65), the number of tooth sites with a probing depth ≥ 5 mm (p = 0.12), or the bone level distance ≥5 mm (p = 0.18). Also, no gender difference in the presence or absence of periodontitis was found (p = 0.68).

Analyses by binary backward conditional logistic regression

Based on information from the literature and from the results presented above the following categorical variables were included: gender, acute myocardial infarct, stroke, diabetes (I and II merged), BMI score > 25, white collar or blue collar worker (SES), smoking history (never or anytime), and age. In addition, periodontitis as defined above by the composite index. In the analysis, bleeding on probing was defined as the expression of gingivitis ≥20% of sites, probing pocket depth ≥ was defined at 3 sites or more with a PPD score ≥ 5 mm and alveolar bone loss was defined as a distance between CEJ to bone ≥5 mm at ≥30% of sites.

The following covariates remained in the final analysis; BMI > 25, gender, composite periodontal score (Table 4). Other covariates including age (p = 0.80), acute myocardial infarction (p = 0.81), stroke (p = 0.23), socio-economic status (p = 0.77) and smoking status (p = 0.73) failed to reach significance.

Table 4 Results (final step) from the binary backward conditional logistic regression analysis
Full size table

Discussion

In this population-based cohort on elderly RA patients we found that RA was associated with periodontitis with an OR of 2.5. This finding is in contrast to the data reported in the study from the Swedish Quality Registry for Caries and Periodontal Diseases [28], which is based on clinical patient records collected from a large number of public and private dental offices, and from the Swedish Epidemiological Investigation of RA [18, 19]. No evidence of an increased prevalence of periodontitis in patients with established RA compared to healthy controls could be found in this Epidemiological Investigation of Reumatoid Arthritis (EIRA) study [18, 19]. Data analyses from this EIRA registry study, however, suggests that smoking and aging are risk factors for periodontitis, both in RA and controls.

Other recent studies have also identified that periodontitis is associated with RA [22, 29]. It should be recognized that such an association does not suggest a direct causal relationship.

Over time, several different criteria and classification methods of periodontitis have been published [30,31,32,33,34,35]. The present study was designed before the latest revision of the principles, and criteria for periodontal diseases were published [35, 36]. In the present study, we have focused on evidence of gingival inflammation, evidence of probing pocket depth, clinical evidence of furcation invasion at molars, and radiographic evidence of alveolar bone levels exceeding a defined threshold value to assess the association to RA. Our composite definition of periodontitis is, in principle, consistent with the current staging definition system (stage I to IV of periodontitis).

In the present study, the presence of elevated levels of bleeding on probing, or the presence of pathological pockets as identified, could not independently identify differences between individuals with or without RA. In contrast, the composite periodontal index used in the present study, identified that periodontitis as defined was associated with RA. The variables included in the composite periodontal index that we used reflect both present and past signs and effects of inflammation reflecting also the accumulated effects of inflammatory host responses resulting in periodontitis. It may seem contradictory when current signs i.e. bleeding on probing, or probing pocket depths were excluded by the statistical model.

The strength of the present population-based study was the systematically sampled population-based elderly RA cohort and a well-balanced systematically recruited group of control individuals from the normal population. In most other clinical studies on RA and periodontitis, the RA population has been recruited from the rheumatology departments, but not in a population-based way, and the controls have been chosen from either other patients or health care workers, and not representative of a normal population. The RA diagnosis in the present study was clinical, while some other studies have used RA patients fulfilling the 1987 ACR and /or 2010 ACR/EULAR criteria. The majority of the RA patients in the present study were stable and treated according to standard of care for RA. The prevalence of periodontitis based on the diagnostic criteria used for periodontitis in the present study suggest a rather low prevalence in comparison to other studies. It should, however, be highlighted that the definition used for periodontitis may have selected individuals with rather advanced disease. It was not possible to identify the cause of tooth loss. Approximately 90% of the study individuals from both study groups received regular dental care, which could be the reason for the relatively low frequency of periodontitis reported. Access to low cost high quality of dental care has been available in the geographical area from which the study participants were recruited.

One limitation of the present study was that approximately 50% of the identified group of individuals with RA either declined participation or they did not meet the dental inclusion criteria. One of the explanations why various studies have either identified or failed to identify associations between RA and periodontal conditions is most likely problems associated with how to define RA and periodontitis and the recruitment of RA patients and choice of controls. Another study limitation was that information on periodontal treatments and causes for tooth extractions was not available. Furthermore, we did not have information on whether the study participants had previously been treated for periodontitis. Since the individuals were not matched according to BMI it is possible that the difference in BMI between groups may have influenced the association between RA and periodontitis.

Conclusion

The present study identified that rheumatoid arthritis was associated with a diagnosis of periodontitis.

Availability of data and materials

Please contact author for data requests.

Abbreviations

ACR:

American College of Rheumatology

BMI:

Body mass index

BOP:

Bleeding on probing

CCP:

Cyclic citrullinated peptide

CEJ:

Cement enamel junction

DAS28ESR:

Disease Activity Score using erythrocyte sedimentation rate

DMARD:

Disease-modifying antirheumatic drug

EIRA:

Epidemiological Investigation of Reumatoid Arthritis

ESR:

Erythrocyte sedimentation rate

EULAR:

European League Against Rheumatism

ICD:

International Classification of Diseases

LU:

Lund University

PPD:

Probing pocket depth

RA:

Rheumatoid arthritis

SES:

Socio-economic status

SNAC:

Swedish Study on Aging and Care

References

  1. van Oosterhout M, Bajema I, Levarht EW, Toes RE, Huizinga TW, van Laar JM. Differences in synovial tissue infiltrates between anti-cyclic citrullinated peptide-positive rheumatoid arthritis and anti-cyclic citrullinated peptide-negative rheumatoid arthritis. Arthritis Rheum. 2008;58(1):53–60.

    Article  Google Scholar 

  2. MacGregor AJ, Snieder H, Rigby AS, Koskenvuo M, Kaprio J, Aho K, et al. Characterizing the quantitative genetic contribution to rheumatoid arthritis using data from twins. Arthritis Rheum. 2000;43(1):30–7.

    CAS  Article  Google Scholar 

  3. Macgregor AJ, Steer SE. Translating genetic information into clinical disease risk in rheumatoid arthritis. J Rheumatol. 2006;33(12):2376–8.

    PubMed  Google Scholar 

  4. Stahl EA, Raychaudhuri S, Remmers EF, Xie G, Eyre S, Thomson BP, et al. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci. Nat Genet. 2010;42(6):508–14.

    CAS  Article  Google Scholar 

  5. Smolen JS, Aletaha D, Barton A, Burmester GR, Emery P, Firestein GS, et al. Rheumatoid arthritis. Nat Rev Dis Primers. 2018;4:18001.

    Article  Google Scholar 

  6. van Onna M, Boonen A. The challenging interplay between rheumatoid arthritis, ageing and comorbidities. BMC Musculoskelet Disord. 2016;17:184.

    Article  Google Scholar 

  7. Teles R, Sakellari D, Teles F, Konstantinidis A, Kent R, Socransky S, et al. Relationships among gingival crevicular fluid biomarkers, clinical parameters of periodontal disease, and the subgingival microbiota. J Periodontol. 2010;81(1):89–98.

    CAS  Article  Google Scholar 

  8. Pradhan-Palikhe P, Mantyla P, Paju S, Buhlin K, Persson GR, Nieminen MS, et al. Subgingival bacterial burden in relation to clinical and radiographic periodontal parameters. J Periodontol. 2013;84(12):1809–17.

    Article  Google Scholar 

  9. Papapanou PN, Behle JH, Kebschull M, Celenti R, Wolf DL, Handfield M, et al. Subgingival bacterial colonization profiles correlate with gingival tissue gene expression. BMC Microbiol. 2009;9:221.

    Article  Google Scholar 

  10. Ting YT, Petersen J, Ramarathinam SH, Scally SW, Loh KL, Thomas R, et al. The interplay between citrullination and HLA-DRB1 polymorphism in shaping peptide binding hierarchies in rheumatoid arthritis. J Biol Chem. 2018;293(9):3236–51.

    CAS  Article  Google Scholar 

  11. Nigrovic PA, Lee DM. Synovial mast cells: role in acute and chronic arthritis. Immunol Rev. 2007;217:19–37.

    CAS  Article  Google Scholar 

  12. Lundberg K, Kinloch A, Fisher BA, Wegner N, Wait R, Charles P, et al. Antibodies to citrullinated alpha-enolase peptide 1 are specific for rheumatoid arthritis and cross-react with bacterial enolase. Arthritis Rheum. 2008;58(10):3009–19.

    CAS  Article  Google Scholar 

  13. Hajishengallis G, Darveau RP, Curtis MA. The keystone-pathogen hypothesis. Nat Rev Microbiol. 2012;10(10):717–25.

    CAS  Article  Google Scholar 

  14. Potempa J, Mydel P, Koziel J. The case for periodontitis in the pathogenesis of rheumatoid arthritis. Nat Rev Rheumatol. 2017;13(10):606–20.

    CAS  Article  Google Scholar 

  15. Ayravainen L, Leirisalo-Repo M, Kuuliala A, Ahola K, Koivuniemi R, Meurman JH, et al. Periodontitis in early and chronic rheumatoid arthritis: a prospective follow-up study in Finnish population. BMJ Open. 2017;7(1):e011916.

    Article  Google Scholar 

  16. Mercado FB, Marshall RI, Klestov AC, Bartold PM. Relationship between rheumatoid arthritis and periodontitis. J Periodontol. 2001;72(6):779–87.

    CAS  Article  Google Scholar 

  17. de Pablo P, Dietrich T, McAlindon TE. Association of periodontal disease and tooth loss with rheumatoid arthritis in the US population. J Rheumatol. 2008;35(1):70–6.

    PubMed  Google Scholar 

  18. Eriksson K, Nise L, Alfredsson L, Catrina AI, Askling J, Lundberg K, et al. Seropositivity combined with smoking is associated with increased prevalence of periodontitis in patients with rheumatoid arthritis. Ann Rheum Dis. 2018;77(8):1236–8. https://doi.org/10.1136/annrheumdis-2017-212091.

  19. Eriksson K, Nise L, Kats A, Luttropp E, Catrina AI, Askling J, et al. Prevalence of periodontitis in patients with established rheumatoid arthritis: a Swedish population based case-control study. PLoS One. 2016;11(5):e0155956.

    Article  Google Scholar 

  20. Schmickler J, Rupprecht A, Patschan S, Patschan D, Muller GA, Haak R, et al. Cross-sectional evaluation of periodontal status and microbiologic and rheumatoid parameters in a large cohort of patients with rheumatoid arthritis. J Periodontol. 2017;88(4):368–79.

    Article  Google Scholar 

  21. Kim JW, Park JB, Yim HW, Lee J, Kwok SK, Ju JH, et al. Rheumatoid arthritis is associated with early tooth loss: results from Korea National Health and nutrition examination survey V to VI. Korean J Intern Med. 2019;34(6):1381–91.

    Article  Google Scholar 

  22. Rodriguez-Lozano B, Gonzalez-Febles J, Garnier-Rodriguez JL, Dadlani S, Bustabad-Reyes S, Sanz M, et al. Association between severity of periodontitis and clinical activity in rheumatoid arthritis patients: a case-control study. Arthritis Res Ther. 2019;21(1):27.

    Article  Google Scholar 

  23. Fuggle NR, Smith TO, Kaul A, Sofat N. Hand to mouth: a systematic review and meta-analysis of the association between rheumatoid arthritis and periodontitis. Front Immunol. 2016;7:80.

    Article  Google Scholar 

  24. Tang Q, Fu H, Qin B, Hu Z, Liu Y, Liang Y, et al. A possible link between rheumatoid arthritis and periodontitis: a systematic review and meta-analysis. Int J Periodontics Restorative Dent. 2017;37(1):79–86.

    Article  Google Scholar 

  25. Demmer RT, Molitor JA, Jacobs DR Jr, Michalowicz BS. Periodontal disease, tooth loss and incident rheumatoid arthritis: results from the first National Health and nutrition examination survey and its epidemiological follow-up study. J Clin Periodontol. 2011;38(11):998–1006.

    Article  Google Scholar 

  26. Arnett FC, Edworthy SM, Bloch DA, McShane DJ, Fries JF, Cooper NS, et al. The American rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988;31(3):315–24.

    CAS  Article  Google Scholar 

  27. Aletaha D, Neogi T, Silman AJ, Funovits J, Felson DT, Bingham CO 3rd, et al. 2010 rheumatoid arthritis classification criteria: an American College of Rheumatology/European league against rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569–81.

    Article  Google Scholar 

  28. von Bultzingslowen I, Ostholm H, Gahnberg L, Ericson D, Wennstrom JL, Paulander J. Swedish quality registry for caries and periodontal diseases - a framework for quality development in dentistry. Int Dent J. 2019;69(5):361–8.

    Article  Google Scholar 

  29. Paul B, Pariyapurath R. Risk factor assessment of rheumatoid arthritis in North Kerala. Eur J Rheumatol. 2018;5(3):184–90.

    Article  Google Scholar 

  30. Russell AL. A system of classification and scoring for prevalence surveys of periodontal disease. J Dent Res. 1956;35(3):350–9.

    CAS  Article  Google Scholar 

  31. Brown LJ, Oliver RC, Loe H. Periodontal diseases in the U.S. in 1981: prevalence, severity, extent, and role in tooth mortality. J Periodontol. 1989;60(7):363–70.

    CAS  Article  Google Scholar 

  32. Armitage GC. Development of a classification system for periodontal diseases and conditions. Ann Periodontol. 1999;4(1):1–6.

    CAS  Article  Google Scholar 

  33. Armitage GC. Periodontal diagnoses and classification of periodontal diseases. Periodontology 2000. 2004;34:9–21.

    Article  Google Scholar 

  34. Eke PI, Dye BA, Wei L, Slade GD, Thornton-Evans GO, Borgnakke WS, et al. Update on prevalence of periodontitis in adults in the United States: NHANES 2009 to 2012. J Periodontol. 2015;86(5):611–22.

    Article  Google Scholar 

  35. Caton JG, Armitage G, Berglundh T, Chapple ILC, Jepsen S, Kornman KS, et al. A new classification scheme for periodontal and peri-implant diseases and conditions - introduction and key changes from the 1999 classification. J Periodontol. 2018;89(Suppl 1):S1–8.

    PubMed  Google Scholar 

  36. Papapanou PN, Sanz M, Buduneli N, Dietrich T, Feres M, Fine DH, et al. Periodontitis: consensus report of workgroup 2 of the 2017 world workshop on the classification of periodontal and Peri-implant diseases and conditions. J Clin Periodontol. 2018;45(Suppl 20):S162–S70.

    Article  Google Scholar 

Download references

Acknowledgements

We wish to thank registered nurses Pia Jansson and Anna Andersson for help with the recruitment of the patients and Ms. Ulrika Isaksson for data management. We appreciate the work by RDS Ingrid Jonasson for the dental examinations. We also wish to thank Hans Krona for help with the analyses of the blood samples.

Funding

This work was supported by the Eklund Foundation [to SR]; Region Blekinge [to MS]; the Crafoord Foundation [to MS] and the Swedish Rheumatism Association [to MS].

The founding body was not involved in design, analysis or interpretation of data. The funds were used for salaries and analysis of data. Open access funding provided by Kristianstad University.

Author information

Affiliations

  1. Faculty of Health Sciences, Kristianstad University, SE-291 88, Kristianstad, Sweden

    Stefan Renvert & G. Rutger Persson

  2. Department of Health, Blekinge Institute of Technology, SE-371 79, Karlskrona, Sweden

    Stefan Renvert & Johan Sanmartin Berglund

  3. School of Dental Science, Trinity College, Dublin, Ireland

    Stefan Renvert

  4. Faculty of Dentistry, The University of Hong Kong, Hong Kong, SAR, China

    Stefan Renvert

  5. Departments of Periodontics, and the Department of Oral Medicine, University of Washington, Seattle, WA, USA

    G. Rutger Persson

  6. Department of Clinical Sciences, Section of Rheumatology, Lund University, Lund, Sweden

    Maria K. Söderlin

Authors
  1. Stefan Renvert
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  2. Johan Sanmartin Berglund
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  4. Maria K. Söderlin
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Contributions

Conception and design of the study SR, MS, JSB and RP were involved in the design of the study. Obtaining of funding SR and MS. GP and MS performed the statistical analyses. SR, MS, JSB and RP were involved in the interpretation of results. GP and MS drafted the manuscript which was revised by SR and JSB. Critical revision of the final article for important intellectual content SR, MS, JSB and RP. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Stefan Renvert.

Ethics declarations

Ethics approval and consent to participate

The study complies with the Declaration of Helsinki. The Regional Ethical Review Board at Lund, Sweden, approved the study. Approval document LU 2013/323. The study individuals gave their written consent to participate in the study.

Consent for publication

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Renvert, S., Berglund, J.S., Persson, G.R. et al. The association between rheumatoid arthritis and periodontal disease in a population-based cross-sectional case-control study. BMC Rheumatol 4, 31 (2020). https://doi.org/10.1186/s41927-020-00129-4

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  • DOI: https://doi.org/10.1186/s41927-020-00129-4

Keywords

  • Rheumatoid arthritis
  • Periodontitis
  • Epidemiology
  • Smoking

BMC Rheumatology

ISSN: 2520-1026

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