Abstract
Introduction:
Periodontitis as a comorbidity in systemic lupus erythematosus (SLE) is still not well recognized in the dental and rheumatology communities. A meta-analysis and network meta-analysis were thus performed to compare the (i) prevalence of periodontitis in SLE patients compared to those with rheumatoid arthritis (RA) and (ii) odds of developing periodontitis in controls, RA, and SLE.
Methods:
Pooled prevalence of and odds ratio (OR) for periodontitis were compared using meta-analysis and network meta-analysis (NMA).
Results:
Forty-three observational studies involving 7,800 SLE patients, 49,388 RA patients, and 766,323 controls were included in this meta-analysis. The pooled prevalence of periodontitis in SLE patients (67.0%, 95% confidence interval [CI] 57.0-77.0%) was comparable to that of RA (65%, 95% CI 55.0-75.0%) (p>0.05). Compared to controls, patients with SLE (OR=2.64, 95% CI 1.24-5.62, p<0.01) and RA (OR=1.81, 95% CI 1.25-2.64, p<0.01) were more likely to have periodontitis. Indirect comparisons through the NMA demonstrated that the odds of having periodontitis in SLE was 1.49 times higher compared to RA (OR=1.49, 95% CI 1.09-2.05, p<0.05).
Discussion:
Given that RA is the autoimmune disease classically associated with periodontal disease, the higher odds of having periodontitis in SLE are striking. These results highlight the importance of addressing the dental health needs of patients with SLE.
Systematic review registration:
https://www.crd.york.ac.uk/PROSPERO/ identifier CRD42021272876.
1 Introduction
Periodontitis is a microbially-associated, host-mediated hyperinflammatory condition that leads to the destruction of structures supporting the teeth, including the alveolar bone, periodontal ligament, and cementum (1–3). If not addressed, periodontitis can lead to early tooth loss, affecting one’s ability to chew, self-confidence, and overall well-being (4–6). Furthermore, periodontitis has been linked to broader health implications, contributing to conditions such as cardiovascular disease, type 2 diabetes mellitus, and adverse outcomes in pregnancy (7). The global prevalence of periodontitis is 20-50%, and together with gingivitis, its precursor, they collectively constitute the 11th most prevalent condition worldwide (8). Its impact is substantial, accounting for 3.5 million years of disability and causing an estimated productivity loss of around USD$54 billion annually (4). Recent studies have also shown significant associations between rheumatoid arthritis (RA) and, to a smaller degree, systemic lupus erythematosus (SLE), with periodontitis (9–11). However, these associations remain underappreciated and warrant further investigations (12).
Rheumatoid arthritis is a chronic autoimmune disease that has both joint-specific and systemic manifestations (13). Its global prevalence, as estimated by the Global Burden of Disease 2010 Study, stands at approximately 0.24% (14, 15). SLE is a potentially fatal, chronic autoimmune disease that affects multiple systems. It primarily affects women, with the highest incidence during childbearing years (16). The global prevalence of SLE has been on the rise over the years, escalating from 40 cases per 100,000 individuals in the 1970s to 100 cases per 100,000 individuals since the 2000s (17).
The exact aetiopathogenesis of RA and SLE is complex, with multiple genetic, epigenetic, immunological, and environmental factors involved. These factors often culminate in immune dysregulation and autoantibody production (18–20). Moreover, evidence suggests that infections may contribute to the development of these diseases through mechanisms such as molecular mimicry and uncontrolled immune cell activation (21). The relationship between RA and periodontitis is better established than that between SLE and periodontitis, partly due to the process of citrullination. Citrullination involves the modification of arginine residues to citrulline by peptidyl arginine deiminases. Porphyromonas gingivalis, a key organism in periodontitis, is the sole prokaryotic organism that secretes Porphyromonas gingivalis-derived peptidyl arginine deiminase (PPAD) (11, 22). Prolonged exposure to citrullinated proteins in the oral cavity may trigger the production of anti-cyclic citrullinated peptide (CCP) antibodies, potentially leading to the onset of RA in susceptible individuals (23). The associations between (i) periodontitis and anti-CCP seropositivity and (ii) periodontitis severity and presence of anti-CCP antibodies in patients with RA provide further support for this hypothesis (24, 25). In addition, disease-modifying antirheumatic drugs ameliorate both RA and periodontitis, suggesting shared inflammatory pathways (26). In contrast, while a connection between SLE and periodontitis is emerging, it is still in the early stages of recognition, and the relationship has not been confirmed (10, 27, 28). Despite the high prevalence of Porphyromonas gingivalis, this pathogen appears to have minimal involvement in the onset of periodontitis in SLE patients. Additionally, anti-CCP antibodies are infrequently detected in individuals with SLE (29, 30). Nonetheless, both RA and SLE may overlap, causing a syndrome termed “rhupus” whereby features of both diseases appear in the same patient (31). Furthermore, a positive association between anti-CCP antibodies and erosive arthritis has been reported in rhupus (31). Consequently, while periodontitis might contribute to the onset of RA, a similar association may ostensibly also occur for SLE.
Considering the overlap between RA and SLE, the magnitude of the burden of periodontitis in SLE compared to RA patients has not been explored. Therefore, the aim of this meta-analysis and network meta-analysis (NMA) is to compare: (i) the prevalence of periodontitis in SLE patients compared to versus those with RA and (ii) the odds of developing periodontitis in controls, RA, and SLE to evaluate the magnitude of this comorbidity in SLE.
2 Materials and methods
2.1 Literature search and study retrieval
This meta-analysis adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Two independent investigators (P.R.T. and A.J.L.L.) conducted searches in the PubMed, Medline, Scopus, and EMBASE databases from their inception dates. The searches were repeated just before the final analyses on 9 April 2023. A combination of search terms such as “systemic lupus erythematosus” or “SLE”, “rheumatoid arthritis” or “RA”, “periodontitis” or “chronic periodontitis” or “adult periodontitis” were used (Supplementary Table 1). Articles were first screened based on their titles and abstracts by two authors (P.R.T. and A.J.L.L.). Subsequently, P.R.T. and A.J.L.L. independently reviewed the full texts of eligible articles for inclusion. All disagreements during screening or data extraction were resolved were resolved through consensus between the reviewers or by consulting with the senior author (S.H.T.). The study protocol was registered with PROSPERO (CRD42021272876). The Patient, Intervention, Comparison, and Outcomes question is the following: Is there a difference in prevalence or odds of periodontitis in SLE patients compared to RA?
2.2 Inclusion criteria
The inclusion criteria were as follows: (i) cross-sectional or case-control study design; (ii) the study reported a quantitative association, i.e., periodontitis events and sample size in RA/SLE and RA/SLE versus controls to calculate event rate and odds ratio (OR), respectively and (iii) the language was limited to English. If the same population was reported in multiple studies, only the most comprehensive study with the largest sample size was included. Patients with periodontitis, RA, and SLE were enrolled in the various studies either based on various definitions, classification criteria, or physician diagnoses. These details are provided in Table 1 and Supplementary Table 2.
Table 1
| Study (1st Author, Year, Reference) | Country/Study Design | Sample Size, n | Type of Control | SLE Classification Criteria | Periodontitis Definition | Immunosuppressants | Age | Female Gender, n (%) | Severity of periodontitis | Quality Assessment |
|---|---|---|---|---|---|---|---|---|---|---|
| Gofur et al., 2021 (32) | Indonesia/Cross-Sectional | SLE: 61 Control: 61 | Healthy | 2012 SLICC | PI, GI, CAL, BOP, plaque index, calculus index and numbers of mobility tooth | N.A. | N.A. | SLE: 61 (50) Control: 61 (50) | Reported. | 8 |
| Marques et al., 2021 (33) | Brazil/Case Control | SLE: 42 Control: 35 | Non-SLE | ACR 1997 | Clinically established periodontitis criteria: CAL ≥ 6 mm in at least 2 teeth and 1 or more sites with PD ≥ 5 mm | Reported | Median, IQR Control: 43 (35-56) SLE: 42.5 (33-48) | N.A. | N.A. | 7 |
| Pessoa et al., 2019 (34) | Brazil/Case Control | SLE: 60 Control: 31 | Healthy | ACR 1997 | CDC/AAP | N.A. | Categorised | SLE: 60 (100) Control: 31 (100) | N.A. | 5 |
| Mendonça et al., 2019 (35) | Brazil/Case Control | SLE: 70 Control: 70 | Non-SLE | N.A. | ≥2 interproximal sites with CAL ≥3 mm, and ≥2 interproximal sites with PD ≥4 mm (not on same tooth) or one site with PD ≥5 mm | Prednisolone, antimalarial and immunosuppressant. | Control: 40.9 (+/-14.07) SLE: 37.31 (+/-9.82) | SLE: 63 (90) Control: 56 (77) | N.A. | 7 |
| Corrêa et al., 2018 (36) | Brazil/Cross-Sectional | SLE: 75 Control: 78 | Non-SLE | N.A. | ≥2 interproximal sites with CAL ≥3 mm, and ≥2 interproximal sites with PD ≥4 mm (not on same tooth) or one site with PD ≥5 mm | N.A. | Categorised | SLE: 68 (91) Control: 62 (79) | N.A. | 9 |
| Zhang et al., 2017 (37) | China/Case Control | SLE: 108 Control: 108 | Healthy | ACR 1997 | Periodontal parameters consisted of PI, GI, PPD, CAL, and BOP. | Prednisone, antimalarial, immunosuppressant. | Control: 39.05 (+/-10.27) SLE: 37.48 (+/-9.61) | SLE: 108 (100) Control: 108 (100) | Controls: mild 33; moderate 17; severe 3 SLE: mild 18; moderate 46; severe 26 | 7 |
| Wu et al., 2017 (38) | Taiwan/Cross-Sectional | SLE: 7,204 Control: 72,040 | Non-SLE | ACR 1997 | Patients who had one or more outpatient visit before the index date which diagnosed them as having periodontitis (ICD9-CM codes 523.3–523.5), and who were concurrently treated with antibiotics, or dental scaling 3 times per year by certified dentists, were identified as patients with a history of periodontitis | N.A. | Control: 40 (+/-18) SLE: 40 (+/-18) | SLE: 6,199 (86) Control: 61,990 (86) | N.A. | 9 |
| Corrêa et al., 2017 (39) | Brazil/Case Control | SLE: 52 Control: 52 | Non-SLE | ACR 1997 | Periodontal parameters consisted of PI, GI, PPD, CAL and BOP. | N.A. | Categorised | SLE: 25 (48) Control: 22 (42) | N.A. | 5 |
| Calderaro et al., 2017 (40) | Brazil/Case Control | SLE: 75 Control: 75 | Non-SLE | ACR 1997 | No evidence of periodontitis; mild periodontitis ≥2 interproximal sites with CAL ≥3 mm, and ≥2 interproximal sites with PD ≥4 mm (not on the same tooth) or one site with PD ≥5 mm; moderate periodontitis ≥2 interproximal sites with CAL ≥4 mm (not on the same tooth), or ≥2 interproximal sites with PD ≥5 mm (not on same tooth); severe periodontitis: ≥ 2 interproximal sites with CAL ≥ 6 mm (not on same tooth) and ≥1 interproximal site with PD ≥5 mm | Prednisolone, antimalarial, immunosuppressant. | Control: 41 (+/-13.9) SLE: 38 (+/-9.8) | SLE: 68 (91) Control: 58 (77) | Controls: mild 1; moderate 28; severe 13 SLE: mild 2; moderate 36; severe 13 | 7 |
| Wang et al., 2015 (41) | Taiwan/Case Control | SLE: 53 Control: 56 | Healthy | N.A. | ≥20% of tooth sites with PD ≥4 mm or CAL ≥4 mm | Immunosuppressants, immunomodulators. | Control: 44.4 SLE: 46.7 | SLE: 53 (100) Control: 56 (100) | N.A. | 8 |
Characteristics of the SLE studies included in the meta-analysis.
SLE, systemic lupus erythematosus; SLICC, Systemic Lupus International Collaborating Clinics Criteria; ACR, American College of Rheumatology; CP, chronic periodontitis; N.A., not available; PI, periodontal index; GI, gingival index; CAL, clinical attachment loss; BOP, bleeding on probing; PD, probing depth; PPD, pocket probing depth; CDC/AAP, Centers for Disease Control and Prevention in partnership with the American Academy of Periodontology.
Data are mean +/- SD or frequency (%), unless otherwise specified.
2.3 Exclusion criteria
Articles were excluded based on the following: (i) periodontal parameters were reported but a diagnosis of periodontitis was not made; (ii) diagnoses of RA or SLE were not reported; (iii) participants were enrolled based on a diagnosis of periodontitis as an entry criterion and not that of RA or SLE and (iv) animal studies, case reports and reviews.
2.4 Quality assessment
The quality assessment of case-control studies was conducted using the Newcastle–Ottawa Scale (NOS), while cross-sectional studies were evaluated using the modified NOS (42). Studies with NOS scores ≤3, 4–6, and ≥7 were categorized as low, moderate, and high quality, respectively.
2.5 Data extraction
The following data were extracted from each included study: (i) study characteristics, including the first author, publication year, region, study design, sample size, RA/SLE classification criteria, periodontitis definition, inclusion and exclusion criteria for cases and controls; (ii) study participant demographics, including mean age, sex, RA/SLE duration, and smoking status; (iii) periodontal measures, including the definition of periodontitis and prevalence of periodontitis and (iv) disease activity and markers, including SLE Disease Activity Index (SLEDAI) for SLE and Disease Activity Score in 28 joints (DAS28) for RA. Due to differences in the definitions of controls across studies, for the NMA, the control populations across the RA and SLE studies are homogenized under the working definition of “absence of known immune-mediated inflammatory disorders and dental diseases”. Thus, this homogenized group consists of healthy, osteoarthritis patients, non-RA and non-SLE controls.
2.6 Data synthesis
This study aimed to examine the proportion of periodontitis in patients with RA/SLE and to compare the ORs for periodontitis of RA and SLE with each other and with controls. Pooled proportions were computed using the inverse variance method with the variance-stabilising Freeman-Tukey double arcsine transformation. The confidence intervals (CIs) for individual studies were calculated using the Wilson score CI method with continuity correction. Subgroup analyses were conducted between patients with SLE and those with RA. Differences between pooled prevalence were evaluated using between-subgroup heterogeneity. Meta-regression was attempted using disease activity as a covariate to investigate the association between disease activity and the prevalence of periodontitis. The I2 statistic was used to represent between-study heterogeneity, where I2 ≤30%, between >30% and ≤50%, between >50% and <75%, and ≥75% were considered to indicate low, moderate, substantial, and considerable heterogeneity, respectively. A NMA was done to indirectly compare if periodontitis is more likely to be associated with RA or SLE. To harmonise the controls from the RA and SLE papers into a single common group, controls were defined as the absence of immune-mediated inflammatory disorders and known dental diseases before study enrollment. The networks were built with controls, RA patients, and SLE patients. As there was no closed loop in the network, inconsistency could not be evaluated in this NMA. Subgroup analyses were conducted to identify the source of heterogeneity as well as to analyze the diversity among different subgroups. Potential publication bias was assessed using a funnel plot and the Egger’s test (43). Further assessment of publication bias was done using Duval and Tweedie trim-and-fill method (44). All analyses were performed using R version 4.1.2, with metafor and netmeta packages. Statistical significance was set at two-sided p<0.05.
3 Results
3.1 Characteristics of the selected studies
The search strategy yielded 230 and 1,751 potentially relevant SLE and RA studies, respectively. 102 SLE articles and 997 RA articles remained after duplicates were removed. Of the 1099 abstracts screened, 18 SLE and 54 RA studies met the inclusion and exclusion criteria. Their full texts were reviewed. Finally, 10 SLE (32–41) and 33 RA (24, 45–74) studies, i.e., 43 in total, were deemed eligible for the meta-analysis (Figure 1, Table 1; Supplementary Table 2).
Figure 1
3.2 Quality appraisal of included studies
Of the 43 studies that underwent quality assessment using the Newcastle-Ottawa checklist, 14 (2 SLE studies and 14 RA studies) obtained a score between 4-6 (moderate quality), while the remaining 29 (8 SLE studies and 21 RA studies) obtained a score of ≥7 (high quality) (Table 1; Supplementary Table 2). The limitations of the studies regarded as moderate quality were mainly related to the sampling methods.
3.3 Periodontitis in RA and SLE
In total, 43 articles were incorporated into this meta-analysis. The demographic and clinical characteristics of the included RA and SLE studies are presented in Supplementary Table 2 and Table 1, respectively. A total of 7,800 SLE patients and 49,388 RA patients were studied. Most of the studies originated from Brazil, Taiwan, the United States, Korea, Malaysia, and the Netherlands (in descending order). Ongoing treatment for the underlying rheumatic disease included the use of nonsteroidal anti-inflammatory drugs, corticosteroids, disease-modifying antirheumatic drugs, steroid sparers, and biologics such as tumour necrosis factor-alpha inhibitors, where appropriate. Some studies reported the severity of periodontitis in RA and SLE with variability in the criteria used for mild, moderate, or severe periodontitis ascertainment. The various methods used to ascertain periodontitis are shown in Supplementary Table 3. In total, 2,955 SLE patients and 14,189 RA patients were found to have periodontitis. The combined prevalence of periodontitis in both diseases was 66.0% (95% CI 58.0-74.0%). The pooled prevalence of periodontitis in SLE patients (67.0%, 95% CI 57.0-77.0%) was comparable to that of RA (65.0%, 95% CI 55.0-75.0%) with statistically insignificant subgroup effect (p=0.81) (Figure 2). The pooled prevalence of periodontitis in SLE controls (45.0%, 95% CI 33.0-57.0%) was slightly lower compared to RA controls (52.0%, 95% CI 41.0-64.0%) (p=0.37) (Supplementary Figure 1). Compared to controls, patients with SLE (OR=2.64, 95% CI 1.24-5.62, p<0.01) (Figure 3A) and RA (OR=1.81, 95% CI 1.25-2.64, p<0.01) (Figure 3B) had significantly greater odds of having periodontitis. 38 articles were included in the NMA. Four articles on RA were excluded because they lacked data on control patients, while one SLE study by Marques et al. was excluded as it enrolled patients with dental diseases as controls (33, 52, 53, 71, 75). Figure 4A depicts the network diagram. Indirect comparison through the NMA demonstrated that the odds of having periodontitis in SLE were 1.49 times higher compared to RA (OR=1.49, 95% CI 1.09-2.05, p<0.05), contributed by the lower prevalence of periodontitis in SLE controls relative to RA controls (Figure 4B; Supplementary Figure 1).
Figure 2
Figure 3
Figure 4
Supplementary Tables 4, 5 depict the disease activity of each rheumatic disease and the prevalence/severity of periodontitis if reported. The disease activity indices used were SLEDAI 2000, and DAS28 calculated using erythrocyte sedimentation rate and C-reactive protein (CRP). Owing to the different disease activity scoring systems used and the small number of studies, meta-regression to identify associations between disease activity and periodontitis was not pursued.
3.4 Subgroups analysis
To ascertain the primary sources of heterogeneity, we performed a subgroup analysis based on the classification or diagnostic method of periodontitis, study design (cross-sectional or case-control study), publication year grouping, and whether the studies were published before or after June 2018 (1). The pooled prevalence of periodontitis in RA was significantly lower in studies published after June 2018 (Table 2).
Table 2
| Definition: CDC/AAP | |||
|---|---|---|---|
| Disease group | No. of studies | OR | 95% CI |
| SLE | 1 | 0.63 | 0.50 – 0.75 |
| RA | 4 | 0.53 | 0.37 – 0.69 |
| Test for Subgroup difference: p=0.32 | |||
| Definition: CAL of ≥ 6 mm on ≥ 2 teeth, and one or more sites with PD of ≥ 5 mm | |||
|---|---|---|---|
| Disease group | No. of studies | OR | 95% CI |
| SLE | 1 | 0.5 | 0.34 – 0.66 |
| RA | 2 | 0.36 | 0.32 – 0.40 |
| Test for Subgroup difference: p=0.08 | |||
| RA | |||
|---|---|---|---|
| Study design | No. of studies | Prevalence | 95% CI |
| Cross Sectional | 13 | 0.6792 | 0.5121 – 0.8260 |
| Case Control | 20 | 0.6387 | 0.5000 – 0.7668 |
| Test for Subgroup difference: p=0.7033 | |||
| SLE | |||
|---|---|---|---|
| Study design | No. of studies | Prevalence | 95% CI |
| Cross Sectional | 4 | 0.6838 | 0.4346 – 0.8878 |
| Case Control | 6 | 0.6746 | 0.5819 – 0.7610 |
| Test for Subgroup difference: p=0.9391 | |||
| RA | |||
|---|---|---|---|
| Year group | No. of studies | Prevalence | 95% CI |
| 2006 – 2010 | 1 | 0.8116 | 0.7098 – 0.8962 |
| 2011 - 2015 | 10 | 0.855 | 0.6676 – 0.9751 |
| 2016 - 2020 | 18 | 0.5367 | 0.4240 – 0.6475 |
| 2021 - 2023 | 4 | 0.5647 | 0.3867 – 0.7349 |
| Test for Subgroup difference: p=0.0005 | |||
| SLE | |||
|---|---|---|---|
| Year group | No. of studies | Prevalence | 95% CI |
| 2006 – 2010 | 0 | – | – |
| 2011 - 2015 | 1 | 0.7925 | 0.6716 – 0.8923 |
| 2016 - 2020 | 7 | 0.6431 | 0.5214 – 0.7562 |
| 2021 - 2023 | 2 | 0.7147 | 0.2973 – 0.9872 |
| Test for Subgroup difference: p=0.2137 | |||
| RA | |||
|---|---|---|---|
| Year group | No. of studies | Prevalence | 95% CI |
| Before June 2018 | 14 | 0.7928 | 0.6315 - 0.9178 |
| After June 2018 | 19 | 0.5423 | 0.4333 - 0.6494 |
| Test for Subgroup difference: p=0.0117 | |||
| SLE | |||
|---|---|---|---|
| Year group | No. of studies | Prevalence | 95% CI |
| Before June 2018 | 6 | 0.6688 | 0.5192 – 0.8030 |
| After June 2018 | 4 | 0.6817 | 0.5071 - 0.8340 |
| Test for Subgroup difference: p=0.9152 | |||
| Definition: CDC/AAP | |||
|---|---|---|---|
| Disease group | No. of studies | OR | 95% CI |
| SLE | 1 | 0.6 | 0.23 – 1.57 |
| RA | 4 | 1.59 | 0.58 – 4.40 |
| Test for Subgroup difference: p=0.17 | |||
| Definition: CAL of ≥ 6 mm on ≥ 2 teeth, and one or more sites with PD of ≥ 5 mm | |||
|---|---|---|---|
| Disease group | No. of studies | OR | 95% CI |
| SLE | 1 | 0.94 | 0.39 – 2.32 |
| RA | 2 | 1.57 | 1.23 – 2.01 |
| Test for Subgroup difference: p=0.28 | |||
| RA | |||
|---|---|---|---|
| Study design | No. of studies | OR | 95% CI |
| Cross Sectional | 9 | 1.2533 | 1.3479 – 3.7269 |
| Case Control | 20 | 2.2413 | 0.7781– 2.0186 |
| Test for Subgroup difference: p=0.1021 | |||
| SLE | |||
|---|---|---|---|
| Study design | No. of studies | OR | 95% CI |
| Cross Sectional | 4 | 5.9819 | 1.2923 - 27.6886 |
| Case Control | 6 | 1.6191 | 0.9050 - 2.8967 |
| Test for Subgroup difference: p=0.1181 | |||
| RA | |||
|---|---|---|---|
| Year group | No. of studies | OR | 95% CI |
| 2006 – 2010 | 1 | 2.5455 | 1.0212 – 6.3449 |
| 2011 - 2015 | 8 | 2.0778 | 0.9528 – 4.5312 |
| 2016 - 2020 | 17 | 1.4855 | 0.9129 – 2.4174 |
| 2021 - 2023 | 3 | 4.1083 | 1.6913 – 9.9796 |
| Test for Subgroup difference: p=0.2370 | |||
| SLE | |||
|---|---|---|---|
| Year group | No. of studies | OR | 95% CI |
| 2006 – 2010 | 0 | – | – |
| 2011 - 2015 | 1 | 22.9091 | 8.4240 – 62.3014 |
| 2016 - 2020 | 7 | 1.736 | 1.1396 – 2.6446 |
| 2021 - 2023 | 2 | 4.9125 | 0.1914 – 126.0651 |
| Test for Subgroup difference: p<0.0001 | |||
| RA | |||
|---|---|---|---|
| Year group | No. of studies | OR | 95% CI |
| Before June 2018 | 12 | 1.7342 | 1.0334 - 2.9104 |
| After June 2018 | 17 | 1.8595 | 1.1036 - 3.1331 |
| Test for Subgroup difference: p=0.8525 | |||
| SLE | |||
|---|---|---|---|
| Year group | No. of studies | OR | 95% CI |
| Before June 2018 | 6 | 2.9706 | 1.3316 - 6.6270 |
| After June 2018 | 4 | 2.1555 | 0.4194 - 11.0779 |
| Test for Subgroup difference: p=0.7302 | |||
Results of subgroups analysis.
SLE, systemic lupus erythematosus; RA, rheumatoid arthritis; CI, confidence interval; OR, odds ratio; CDC/AAP, Centers for Disease Control and Prevention (CDC) in collaboration with the American Academy of Periodontology; CAL, clinical attachment level; PD, pocket depth.
3.5 Publication bias
There was some asymmetry observed on visual inspection of the funnel plot (Figure 5A). Egger’s test indicated substantial evidence of publication bias (p< 0.0001). A sensitivity analysis employing the trim-and-fill method was conducted with 22 imputed studies. The trim-and-fill method yielded a lower pooled prevalence of 32.4% (95% CI, 20.6–45.4%) in SLE and RA patients (Figure 5B). This suggests that the true pooled prevalence might be less compared to what was found in this study.
Figure 5
4 Discussion
To the best of our knowledge, this meta-analysis and NMA represent the first attempt to compare the prevalence and odds of periodontitis in SLE compared to RA. The principal findings of our meta-analysis and NMA include: (i) the prevalence of periodontitis in patients with SLE was comparable to that of RA, afflicting more than 60% of both patient groups; (ii) both RA and SLE patients exhibited higher odds of having periodontitis compared to controls and (iii) SLE patients were more likely to have periodontitis (1.49-fold higher odds) compared to RA. Similar to previously conducted meta-analyses on periodontitis in patients with RA and SLE, our study showed significantly increased odds of periodontitis in both patient groups compared to controls (9, 10, 46, 76). RA is the most widely recognised rheumatic disease associated with periodontitis, partly because of the key role of citrullination induced by Porphyromonas gingivalis and the induction of anti-CCP antibodies that are specific for this disease (22). As a result, the association between RA and periodontitis, as well as dental care considerations specific to RA, have been extensively studied (46, 76, 77). However, the association between SLE and periodontitis is not well recognised by the dental and rheumatology communities (S.H.T., personal communication). Although our study established that there was no statistically significant difference in the prevalence of periodontitis between SLE and RA, it demonstrated that SLE patients have an increased odds of developing periodontitis. Therefore, awareness of the association between SLE and periodontitis is warranted.
The difference in awareness between the associations of periodontitis with RA and SLE may stem from variations in our understanding of their immunopathogenesis. Following the discovery that Porphyromonas gingivalis secretes PPAD (22), it was hypothesized that periodontitis may accelerate the process of citrullination within the mouth and lead to increased exposure to citrullinated proteins. Consequently, anti-CCP antibodies are produced, which have been linked to more severe RA and joint destruction (78). Additionally, smoking is known to increase the formation of citrullinated proteins, potentially leading to autoimmunity and the development of RA in susceptible individuals (78). These lines of evidence provided a clear link between periodontitis and RA. While most observational studies do not fully establish this relationship, the axiomatic understanding that periodontitis and RA share a causal relationship may have provided greater awareness of this association. On the other hand, while the possibility of a bidirectional association between periodontitis and SLE has been proposed, the evidence supporting it remains relatively weak (79). Several lines of preclinical evidence explanation have supported the association between periodontitis and SLE. First, increased expression of Toll-like receptors 2 and 4, which are involved in innate immune responses, has been observed in both periodontal disease and SLE (80). Second, the innate immune dysregulation in SLE patients with overactive phagocytic cells leads to elevated production of pro-inflammatory cytokines, such as interleukin (IL)-1β and IL-18, which are implicated in the pathogenesis of periodontitis (81, 82). Third, in patients with periodontitis, B lymphocytes and plasma cells are increased in the periodontal tissues. These cells are also the adaptive immune cells implicated in the immunopathogenesis of SLE (82, 83). Fourth, periodontal bacteria may stimulate antiphospholipid antibody production through the process of molecular mimicry between bacterial peptides and β2-glycoprotein I (41). Fifth, a recent Mendelian randomization analysis indicated that periodontitis is associated with a weak causal association with SLE (84). Lastly, immunosuppression using corticosteroids and steroid sparers leads to a reduction in host immunity and consequently repeated oral infections (85, 86).
The most common oral manifestation observed in SLE is painless ulcers typically found in the lip and buccal mucosa (87). While oral manifestations of SLE have been estimated to vary from 9-45% (87), owing to the lack of awareness that periodontitis may be associated with SLE, its suspicion may not be entertained, resulting in delayed diagnosis and intervention (88). Consequently, this delay contributes to poorer dental outcomes, tooth loss, and diminished quality of life among SLE patients (4–6). Despite the burden of periodontitis in SLE, there is a dearth of literature on the awareness of medical professionals on this comorbidity. In contrast, the level of awareness regarding the relationship between periodontitis and RA has been documented in medical literature. Afilal et al. conducted a cross-sectional survey revealing that only 6% of rheumatologists routinely examined the oral cavity, while 11% acknowledged the negative impact of poor oral hygiene on RA, and 10% recommended dental consultation for RA patients (89). Similarly, Nazir et al. found that 36.2% of dentists were aware of the association between periodontal disease and rheumatoid arthritis (90). There is a pressing need for studies to explore the level of awareness regarding the association between SLE and periodontitis within the rheumatology and dental communities.
Numerous studies have demonstrated an association between disease activity in RA/SLE and the severity of periodontitis. RA patients with periodontitis categorized as level 0 or 1 exhibited significantly lower mean DAS28-CRP compared to those with level 2 periodontitis (62). Similarly, SLE patients with higher SLEDAI scores were shown to have more severe periodontal disease (91, 92). Furthermore, a randomised controlled trial by Fabbri et al. found that treatment for periodontitis led to a notable reduction in SLEDAI scores (93). Within 3 months of treatment initiation, a notable decrease in both SLE disease activity and periodontal disease parameters was observed. In contrast, the group without treatment had persistent SLE disease activity and half of the periodontal disease parameters unchanged from baseline (93). Hence, these findings underscore the importance of raising awareness among clinicians about the association between SLE and periodontitis, as managing this modifiable comorbidity might help to modulate SLE disease activity.
The similar prevalence but increased odds of periodontitis for SLE compared to RA in our analysis deserves discussion. One possible explanation is that SLE patients included in the NMA had relatively higher disease activity compared to RA and therefore had more cases of periodontitis as a result of the bidirectional association (79). In addition, the lower pooled prevalences of periodontitis in the controls of SLE (45.0%, 95% CI 33.0-57.0%) compared to RA (52.0%, 95% CI 41.0-64.0%) (Supplementary Figure 1) would have contributed to an increased odds of periodontitis for SLE compared to RA.
Rheumatoid arthritis and SLE share several risk-associated loci (e.g., HLA-DRB1, BLK, UBE2L3, PTPN22, STAT4, TNFAIP3, FCGR2A, PRDM1, IRF5, PXK and COG6) and are characterized by the presence of autoantibodies that recognize self-antigens (15, 16, 31, 94). Environmental triggers such as tobacco smoking have also been described in both diseases, although the prevalence of smoking in both RA and SLE is not well described in epidemiological studies (15, 16). Both diseases, however, differ in many aspects such as immunopathogenesis whereby type I interferons in response to viral factors and tumor necrosis factor in relation to microbiota are operational in SLE and RA, respectively (15, 16). Specific class II major histocompatibility molecules contain the shared epitope, a specific amino acid motif associated with the risk of developing RA (15). This epitope facilitates the presentation of arthritogenic peptides to CD4+ T cells, particularly those containing citrulline, thereby promoting the development of anti-CCP antibodies (31). The interaction between the shared epitope and smoking has been extensively studied and its interplay with Porphyromonas gingivalis in arthritis-prone B6.DR1 mice leading to increased anti-CCP production makes periodontitis an even more compelling risk factor for RA (95). RA is considered a continuum that begins with a high-risk or susceptibility state influenced by genetic factors and progresses through preclinical, early, and established disease, where environmental factors contribute to the inflammatory and destructive synovial response (15). Preclinical and early RA are different from rhupus, a disease with features that overlap between RA and SLE (31). The progression of arthritis in rhupus mirrors a pattern similar to RA, potentially advancing to typical inflammatory erosions. However, the SLE-related aspects in rhupus tend to be milder, primarily manifesting as hematological and mucocutaneous involvement. (31).
This study has several limitations that should be considered. First, a high heterogeneity was observed. However, in this analysis, heterogeneity was estimated from the I2 statistic and it is common for proportional meta-analyses to have a high I2, possibly because of the nature of the proportional data (96). The high heterogeneity could also be attributed to variability in the case definition and classification of periodontitis (1, 97). Consistent case definition and classification of periodontitis would contribute to reduced heterogeneity. Of note, prevalence of periodontitis decreased in RA patients after the 2017 World Workshop Classification of Periodontal and Peri-implant Diseases and Conditions was published (Table 2), which may reflect reduced heterogeneity in the ascertainment of this odontogenic infection (1). The other possibility is the improvement of RA treatment over time resulting in decreased periodontitis due to a bidirectional effect. Diagnostic criteria for RA and SLE have not been endorsed by major rheumatology societies and only classification criteria have been developed to recruit homogenous populations for research (15, 16). These classification criteria are not intended for use in clinical practice as the basis for establishing the diagnoses of RA and SLE. As such, some RA and SLE patients in the studies that did not specify the classification criteria used were diagnosed clinically. In addition, specific endotypes of RA (e.g., seropositive and seronegative) and SLE (e.g., organ-dominant, lupus with antiphospholipid syndrome and Sjögren’s syndrome) were not reported in the studies (98, 99). Hence, transparent reporting of the classification criteria used for classification and any underlying endotypes would have facilitated a more accurate interpretation of our results. Second, evidence of publication bias was detected, suggesting an overestimation of prevalence in our meta-analysis due to potential unpublished studies. Third, due to the many different scoring systems used for disease activity and the limited number of studies, we were unable to perform a meta-regression to explore the relationship between rheumatological disease activity and the prevalence of periodontitis. Fourth, smoking and the use of immunosuppressants may be confounding factors that could contribute to the development of periodontitis. However, these confounding factors were not assessed in many of the included studies and should be analyzed in detail for future work. Lastly, most of the included studies were cross-sectional in design, limiting their ability to establish a causal relationship between periodontitis and SLE. Future well-designed longitudinal, case-control or cohort studies are needed to explore this relationship and determine if temporal and causal links exist between these two conditions (100). By addressing these limitations, future researchers can help to advance the understanding between periodontitis and rheumatic diseases by improving the quality of the research in this field.
This meta-analysis and NMA established that SLE patients have a significantly higher likelihood of experiencing periodontitis (1.49-fold higher odds) compared to RA, although no significant difference in the prevalence of periodontitis was found between RA and SLE. Considering that RA is traditionally linked with periodontal disease, the elevated odds of periodontitis in SLE are striking. Irrespective of the highlighted limitations, especially that of variations in periodontitis assessment criteria among the studies, these results underscore the importance of addressing the dental health needs of SLE patients. Future research should explore the extent of awareness regarding the association between SLE and periodontitis within the dental and rheumatology communities. Enhancing awareness among healthcare providers and enhancing educational efforts in both disciplines will be crucial in alleviating the considerable disease burden of periodontitis in SLE. Further clinical and translational research is warranted to advance the understanding of periodontitis and its broad impact on SLE immunopathogenesis and disease activity.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Author contributions
PT: Writing – original draft, Writing – review & editing, Data curation, Formal analysis, Visualization. AL: Data curation, Formal analysis, Visualization, Writing – original draft, Writing – review & editing. JZ: Formal analysis, Methodology, Writing – original draft, Writing – review & editing. YC: Methodology, Writing – original draft, Writing – review & editing. JF: Conceptualization, Writing – original draft, Writing – review & editing. MM: Conceptualization, Supervision, Writing – original draft, Writing – review & editing. ST: Conceptualization, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1356714/full#supplementary-material
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Summary
Keywords
periodontitis, rheumatoid arthritis, systemic lupus erythematosus, meta-analysis, network meta-analysis
Citation
Tan PR, Lee AJL, Zhao JJ, Chan YH, Fu JH, Ma M and Tay SH (2024) Higher odds of periodontitis in systemic lupus erythematosus compared to controls and rheumatoid arthritis: a systematic review, meta-analysis and network meta-analysis. Front. Immunol. 15:1356714. doi: 10.3389/fimmu.2024.1356714
Received
16 December 2023
Accepted
18 March 2024
Published
02 April 2024
Volume
15 - 2024
Edited by
Umesh S. Deshmukh, Oklahoma Medical Research Foundation, United States
Reviewed by
Shui Lian Yu, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, China
Chris Dunn, Oklahoma Medical Research Foundation, United States
Updates
Copyright
© 2024 Tan, Lee, Zhao, Chan, Fu, Ma and Tay.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Sen Hee Tay, sen_hee_tay@nuhs.edu.sg
†These authors have contributed equally to this work and share first authorship
Disclaimer
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