Introduction
Knee osteoarthritis (KOA) is the most common type of osteoarthritis (OA) of the limbs and one of the leading causes of disability1,2. Previously, OA was considered a “degenerative” disease, the inevitable accompaniment of aging, with ‘‘wear-and-tear” as the main pathogenic mechanism1. Now, the pathogenesis of OA continues to evolve, moving from a cartilage-limited to a multifactorial disease that affects the whole joint2. Indeed, OA is increasingly seen as a metabolically active and dynamic process arising from an imbalance between the repair and destruction of joint tissues, which may be triggered by a variety of mechanical and biochemical insults1,2. Accumulating evidence indicates that chronic and low-grade joint inflammation, mediated primarily by the innate immune system and to a lesser degree the adaptive immune system, has a critical role in the pathogenesis of OA3. In addition to co-morbidities such as obesity, excessive joint stress triggers inflammation of the cartilage with subsequent degradation, mediated by the release of inflammatory and extracellular cartilage matrix-degrading factors such as cytokines, nitric oxide, toll-like receptors, and matrix metalloproteinases3,4. In addition, complement activation is thought to play an essential role by affecting the expression of inflammatory and degradative molecules in joints3,4.
Periodontitis is another disease whose pathogenesis is mediated by the inflammatory complement cascade5. Periodontitis is a chronic, multifactorial inflammatory disease associated with dysbiotic plaque biofilms and characterized by progressive destruction of the periodontium and alveolar bone caused by biofilm-forming microorganisms6. Its primary features include the loss of periodontal tissue support, manifested through clinical attachment loss (CAL) and radiographically assessed alveolar bone loss, the presence of periodontal pocketing (PP) and gingival bleeding6. Periodontitis has been found to be associated with many diseases, including vascular, inflammatory and metabolic diseases7, 8, 9–10. The pathogenesis includes mainly systemic chronic inflammation, but also microbial dysbiosis and autoimmune mimicry11,12.
The relationship between periodontitis and chronic inflammatory rheumatic diseases like rheumatoid arthritis (RA) and osteoporosis is well documented13. There is scarce information about the link between periodontitis and OA. Periodontal pathogens, in PD, may indirectly trigger OA through several mechanisms, including autoantibodies production or humoral immunity related to bacterial infection. Data suggests a time-dependent bidirectional pattern between KOA and periodontitis14, 15, 16, 17–18, and the more severe the KOA, the stronger the association15, 16–17. To our knowledge, there are no African studies on periodontitis in OA. Given the importance of infectious diseases in sub-Saharan Africa and the difficulties in maintaining adequate dental hygiene, we assume that the prevalence of periodontitis will be higher in the population of people living with KOA and associated with the severity of the disease. This prompted us to investigate the prevalence, the distribution and determinants of periodontitis in patients with symptomatic KOA at the Douala General Hospital (a reference hospital in Douala, Cameroon), as well as the association between the severity of KOA and periodontitis.
Patients and methods
Study design
We performed a hospital-based cross-sectional study and a nested case–control study with prospective recruitment over 09 months (from October 2022 to June 2023) at the outpatient Rheumatology unit of the Douala General Hospital, Cameroon.
Participants and sampling
Our source population consisted of patients aged 30 and over, followed up or newly diagnosed for KOA, defined according to the ACR19, EULAR20 criteria, or NICE guidance21, and with a radiographic grade of Kellgren and Lawrence ≥ 222.
Using a prevalence of 9.9%23, our minimum sample size was calculated as 138 individuals for the descriptive component and 178 individuals (1:1), i.e. 89 cases and 89 controls, for the analytical component. For the descriptive part of our study, we included all patients with KOA who met the following criteria: (i) had at least 50% of their teeth present in the mouth, (ii) had given their consent to participate in the study. Patients who had undergone periodontal therapy in the previous 6 months, or with a knee infection or trauma or pregnant women were not included. Concerning the analytical part, matched by age and sex, cases were defined as patients with KOA with at least 50% of teeth present in the mouth, who have not received periodontal therapy in the last six months, and with findings consistent with periodontitis6. Controls were patients with KOA with at least 50% of teeth present in the mouth, who had not received periodontal therapy in the last six months, and without periodontitis.
Data collection and procedures
All methods related to the study were performed in accordance with the Declaration of Helsinki. The research protocol of the study was approved by the regional ethics committee (n° 2023/6/CE/CRERSH-LITTORAL) and research authorization from the institutional board of the Douala General Hospital (n°033/AR/MINSANTE/HGD/DM/02/23). Consecutive sampling methods were used to recruit outpatients with KOA. All participants were informed of the objectives and procedures of the study, and only those who consented to participate were included, interviewed and examined. Informed consent was validated by a signature on a consent form.
We recorded in a pre-tested questionnaire socio-demographic data, clinical data, particularly KOA-related data (including a visual analog scale for pain, Lequesne’s algofunctional index24, and Kellgren and Lawrence classification22), and oral and dental hygiene habits. Oral hygiene habits included information on tooth brushing (whether or not the teeth were brushed, the purpose of brushing, daily frequency, type, means used and technique), knowledge of the most frequent oral pathologies and information on dental consultations (annual frequency, indication and previous dental treatments).
The endo-buccal examination was carried out on all participants using a sterile consultation kit (consultation tray, oral plane mirror, dental exploration probe, graduated periodontal probe, treatment gloves). The teeth were dried with an air spray prior to the examination. No staining of the plaque was necessary beforehand. Each tooth was divided into four surfaces: vestibular, lingual (palatal), mesial and distal. It enabled us to search for dental hygiene (through the Silness and Loe Plaque Index25) and the periodontal parameters. A periodontal examination was carried out in the mouth using a graduated Williams’ periodontal probe on all the teeth. The periodontal probing was performed at the proximal mesiovestibular, disto-vestibular, mesio-lingual (mesio-palatal), disto-lingual (disto-palatal), vestibular (midvestibular) and lingual (palatal) (midlingual/palatal) sites of all teeth, i.e. 06 sites per tooth. Third molars, teeth with cervical fillings, vertical root fractures or traumatic gingival recession were not considered. The probing values were recorded on the survey form. Periodontal pocket depth (PP) was measured as the distance from the gingival margin to the bottom of the sulcus (PP). Clinical attachment loss (CAL) was measured as the distance from the enamel-cement junction (ECJ) to the bottom of the sulcus.
The periodontal examination was performed by 2 dental surgeons (HSCT, CDB) to ensure the reliability of our data and to determine the Kappa index. For those participants whose difference was greater than one grade, the opinion of a third dental surgeon (LEEB) was taken. A preliminary scaling was carried out in patients with excess tartar to better assess the PP and CAL. The prevalence of periodontitis and its severity were estimated based on the CAL: stage I or early periodontitis for the site with the largest CAL < 3 mm; stage II or moderate periodontitis for a CAL [3–5]mm; and stage III or severe periodontitis for a CAL ≥ 5 mm6.
Variables
The study variables were:
Sociodemographic: age, gender, occupation, monthly income, residence, marital status, level of education26.
Variables related to oral health education needs: Time of brushing, means used for brushing, frequency of brushing, duration of brushing, frequency of annual visits to the dentist.
Co-morbidities: Hypertension, diabetes mellitus, hyperuricemia, epilepsy, peptic ulcer disease (PUD), cancer, gastro-oesophageal reflux disease (GERD), HIV, Hepatitis B virus infection, Hepatitis C virus infection, smoking and alcohol consumption.
Endo-buccal examination variables: oral hygiene (plaque index), periodontal status (EFP/AAP).
Radiographic variables of KOA: Kellgren and Lawrence index, location and lesions of KOA.
Clinical and anthropometric variables: weight, height, BMI (Body Mass Index), pain (VAS, schedule, site), blood pressure and menopause.
Variables related to risk factors for KOA: history of trauma, age, sex, menopause, obesity, knee arthritis, family history of KOA.
Variables related to the severity of KOA: Lequesne’s algofunctional index.
Variables related to other rheumatological conditions: digital osteoarthritis, lumbar osteoarthritis, scapulohumeral osteoarthritis, and coxarthrosis.
Statistical analysis
All statistical analyses were performed using SPSS Statistics version 23.0 (IBM Statistics, Armonk, NY, USA) with significance levels set at α < 0.05. Quantitative variables were described by means (± standard deviation) or by medians (interquartile ranges). Qualitative variables were described as numbers (percentages). The Chi-square test and Fisher’s exact test were used to compare categorical variables in the bivariate analysis.
To eliminate confounding factors such as age, weight and BMI, a multivariate analysis using logistic regression was performed, enabling us to determine the factors associated with periodontitis in our sample. The adjusted odds ratio (ORa) enabled us to identify the risk factors for periodontitis in patients with KOA with a 95% confidence interval. We included in the regression model the relevant variables in association with periodontitis in bivariate analysis.
Results
Baseline characteristics of participants with KOA
Of the 296 patients with KOA received during the study period, 253 (52 men) were included. The flow chart shows the progression of participants throughout the study (Fig. 1). The median age was 63 years [IQ 54–70]. BMI was 32.67 ± 7.73 kg/m2. The mean pain VAS was 52.7 ± 27.9 mm, with 62.5% of patients having a pain VAS > 40 mm. The mean Lequesne’s index was 12.25 ± 5.03. An extremely severe disability was found in 40.7% of participants. Two-thirds of our participants had K&L grade 2 (61.6%). Table 1 shows the baseline characteristics of the study population.
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Fig. 1
Participant's flow chart.
Table 1. Baseline characteristics of subjects with knee osteoarthritis.
Variables | Terms | Periodontitis | p value | |
---|---|---|---|---|
Yes | No | |||
Sex | Male | 19 (23.2) | 19 (23.2) | 1 |
Female | 63 (76.8) | 63 (76.8) | 1 | |
Level of study | Illiterate | 3 (3.7) | 6 (7.3) | 0.495 |
Primary | 39 (47.6) | < 0.001 | ||
Secondary | 20 (24.4) | 38 (46.3) | 0.003 | |
Superior | 20 (24.4) | 29 (35.4) | 0.125 | |
Type of comorbidities | Diabetes | 4 (6.6) | 8 (14.3) | 0.169 |
Cancer | 0 (0) | 5 (8.9) | 0.023 | |
HIV | 8 (13.1) | 2 (3.6) | 0.097 | |
Hypertension | 52 (85.2) | 38 (67.9) | 0.028 | |
Gastroesophageal reflux | 4 (6.6) | 9 (16.1) | 0.102 | |
Hyperuricemia | 0 (0) | 14 (25) | < 0.001 | |
Smoking | 0 (0) | 9 (11) | 0.003 | |
Alcoholism | 15 (18.3) | 17 (20.7) | 0.694 | |
Others | 3 (4.9) | 19 (33.9) | 0.479 | |
History of familial knee osteoarthritis | Yes | 46 (56.1) | 48 (58.5) | 0.752 |
Menopause | Yes | 44 (69.8) | 53 (84.1) | 0.057 |
BMI (Kg/m2) | Normal | 14 (17.1) | 9 (11) | 0.261 |
Overweight | 18 (22) | 35 (42.7) | 0.005 | |
Obese | 50 (61) | 38 (46.3) | 0.060 | |
Location of pain | Median | 45 (54.9) | 31 (37.8) | 0.028 |
Pain schedule | Mechanical | 67 (81.7) | 64 (78) | 0.559 |
VAS | [0–4] | 42 (51.2) | 31 (37.8) | 0.084 |
[5–7] | 35 (42.7) | 24 (29.3) | 0.073 | |
[8–10] | 5 (6.1) | 27 (32.9) | < 0.001 | |
Lequesne Algofunctional Index | 14 and over (Extremely significant disability) | 33 (40.2) | 25 (30.5) | 0.191 |
Lumbar Osteoarthritis | Yes | 1 (1.2) | 0 (0) | 1 |
Grade of KOA | Grade 2 | 55 (67.1) | 57 (69.1) | 0.737 |
Grade 3 | 13 (15.9) | 22 (26.8) | 0.086 | |
Grade 4 | 14 (17.1) | 3 (3.7) | 0.005 | |
Patellofemoral KOA | Bilateral | 29 (100) | 28 (100) | 1 |
KOA | Unicompartimental | 82 (100) | 81 (98.8) | 1 |
Bicompartimental | 0 | 1 (1.2) | ||
Tricompartimental | 0 | 0 |
BMI: Body Mass Index, HIV: Human Immunodeficiency Virus; KOA: Knee Osteoarthritis, VAS: Visual analog Scale.
The quality of oral hygiene in our series was average in 127 (50.2%) participants (Fig. 2). Brushing methods were bad in 151 (59.7%) participants. Table 2 describes the participant’ knowledge of dental disease and their oral hygiene. The mean kappa score for periodontal examination was 1.
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Fig. 2
Distribution of participants according to the quality of their oral hygiene (according the Silness and Loe Plaque index).
Table 2. Dental disease Knowledge and Oral practices among our study population.
Variables | Terms | Periodontitis | p value | |
---|---|---|---|---|
Yes n(%) | No n(%) | |||
Have you ever heard of periodontitis? | Yes | 1 (1.2) | 4 (4.9) | 0.367 |
No | 81 (98.8) | 78 (95.1) | ||
Definition of periodontitis (n = 5) | Good | 1 (100) | 0 | 0.200 |
Poor | 0 | 4 (100) | ||
Definition of dental caries | Good | 77 (93.9) | 82 (100) | 0.059 |
Poor | 5 (6.1) | 0 (0.0) | ||
Annual frequency of visits to the dentist | Once | 2 (2.4) | 6 (7.3) | 0.277 |
In the event of a problem | 68 (82.9) | 41 (50) | < 0.001 | |
Never | 12 (14.6) | 35 (42.7) | < 0.001 | |
Daily frequency of brushing | Once | 29 (35.4) | 25 (30.5) | 0.506 |
Twice and Thrice | 53 (64.6) | 57 (69.5) | ||
Timing of tooth brushing | Morning before meal | 30 (36.6) | 26 (31.7) | 0.510 |
Evening at bedtime | 1 (1.2) | 1 (1.2) | 1 | |
Morning before meal and evening at bedtime | 50 (61) | 41 (50) | 0.157 | |
Morning after meal and evening at bedtime | 1 (1.2) | 0 (0.0) | 1 | |
Morning before and after meal and evening at edtime | 0 (0.0) | 14 (17.1) | < 0.001 | |
Dental brushing materials | Toothbrush only | 0 (0.0) | 8 (9.8) | 0.007 |
Toothbrush and toothpaste | 80 (97.6) | 72 (87.8) | 0.0016 | |
Salt | 2 (2.4) | 2 (2.4) | 1 | |
Bicarbonate | 4 (4.9) | 2 (2.4) | 0.682 | |
Ashes | 5 (6.1) | 2 (2.4) | 0.443 | |
Coal | 5 (6.1) | 1 (1.2) | 0.210 | |
Brushing method | Good | 18 (22) | 43 (52.4) | < 0.001 |
Poor | 64 (78) | 39 (47.6) | ||
Duration of dental brushing (in minutes) | ˂ 3 | 28 (34.1) | 3 (3.7) | < 0.001 |
≥ 3 | 54 (65.9) | 79 (96.3) | ||
Dental brushing motivation | To keep it clean | 70 (85.4) | 74 (90.2) | 0.34 |
To avoid dental cavities | 56 (68.3) | 62 (75.6) | 0.297 | |
For a beautiful smile | 8 (9.8) | 11 (13.4) | 0.464 |
Prevalence and determinants of periodontitis
The diagnosis of periodontitis was made in 158 patients (62.5%) (Fig. 3). The distribution of the severity of periodontitis is shown in Fig. 4. Moderate periodontitis accounted for 57.6% of the patients.
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Fig. 3
Prevalence of periodontitis in subjects with knee osteoarthritis in our study population.
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Fig. 4
Distribution of the severity of periodontitis.
Table 3 shows the factors associated with the presence of periodontitis, after bivariate and multivariate analysis. In bivariate analysis, the factors significantly associated with periodontitis included: level of education, overweight, housewife, K&L grade 4, severe pain, moderate disability, hypertension, annual visit to the dentist in the event of a problem, and poor brushing duration, and poor oral hygiene (Tables 1 and 2). However, in multivariate analysis, factors that independently influenced the presence of periodontitis included: K&L grade 4 (ORa 5.39 [1.27–28.98]; p = 0.03), annual visit to the dentist in the case of a problem (ORa 8.54 [3.09–28.58]; p < 0.001), poor brushing duration (ORa 21.93 [5.66–123.24]; p < 0.001), poor oral hygiene (ORa 34.92 [7.46–277.71]; p < 0.001).
Table 3. Multivariate analysis of factors associated with the presence of periodontitis in subjects living with KOA.
Variables | p value | cOR (95% CI) | Adjusted p value | aOR (95% CI) |
---|---|---|---|---|
Grade 4 KOA (yes/no) | 0.005 | 5.42 (1.49–9.97) | 0.03 | 5.39 (1.27–28.98) |
Annual frequency of visits to the dentist (in case of problem) | < 0.001 | 4.857 (2.364–9.975) | < 0.001 | 8.54 (3.09–28.58) |
Brushing method (bad/good) | < 0.001 | 3.920 (1.988–7.732) | 0.07 | 2.29 (0.94–5.73) |
Brushing duration (Bad/good) | < 0.001 | 13.654 (3.52–47.181) | < 0.001 | 21.93 (5.66–123.24) |
Poor oral hygiene (yes/no) | < 0.001 | 1.667 (3.320–64.800) | < 0.001 | 34 (7.46–277.71) |
Hypertension (yes/no) | 0.028 | 2.007 (1.075–3.749) | 0.11 | 2.00 (0.86–4.79) |
KOA: Knee Osteoarthritis, CI: confidence Interval, cOR: crude Odd Ratio, aOR: Adjusted Odd ratio.
Discussion
To the best of our knowledge, this is the first study to demonstrate that periodontitis is associated with KOA in an African setting. We found periodontitis in two-thirds of our patients with KOA. This prevalence is higher than those previously described, varying between 26 and 54.6%16, 17–18. This elevated prevalence could be explained mainly by the greatest prevalence and impact of periodontitis in Africa27,28, probably as a result of the burden of infections29,30, the design of each study, the older age of participants, the different methods used to determine periodontitis in the studies and by the large number of co-morbidities presented by the participants. Specifically, and as in a previous study16, we showed that periodontitis was significantly associated with poor oral health-related behaviors and limited access to dental care.
This study found that the severity of periodontitis increased as the radiographic grade of the KOA increased. These results are consistent with those found in Iraq (2020) in a population of Iraqi patients, where those with KOA were 2.3 times more likely to have periodontitis18. Furthermore, the presence of periodontitis was not affected by age or sex18. Participants with radiographic grade 4 in this study were five times more likely to develop periodontitis. This result is similar to those found in several previous studies. In Korea, periodontitis is associated with the presence and severity of KOA. The risk of periodontitis increased significantly with increasing severity of osteoarthritis (according to K&L) from aOR 1.30 for grate 1–1.39 for grade 416.
Although the prevalence of periodontitis is lower in KOA than in RA31, 32–33, KOA joins inflammatory rheumatic diseases and bone diseases in their association with periodontitis. While, like us, some studies have observed periodontitis in patients with KOA, other studies have shown that periodontitis can precede the onset of KOA. When asked "Who is the chicken and who is the egg", a recent study suggested that an increased risk of periodontitis and KOA were observed for patients with either disease14. This association would be associated with the severity of KOA and/or periodontitis14, 15–16. In our study, this link with the severity of OA was only found for severe structural damage and not for pain and disability. This discrepancy is also found in certain studies16, 17–18. We are unable to say whether the radio-clinical dissociation in OA could explain this discrepancy. Nevertheless, previous studies globally suggested that periodontitis is associated with the presence of KOA14, 15, 16, 17–18, structural severity of KOA leading to prosthetic surgery15, 16–17 and type 2 diabetes might be a booster of this relationship15. However, a two-sample bidirectional Mendelian randomization analysis using publicly released genome-wide association studies (GWAS) statistics did not demonstrate a causal effect of genetically predicted periodontitis and OA, neither did genetically predicted OA on periodontitis34. Nevertheless, apart from the complement pathway, some other pathways could explain the link between periodontitis and KOA. In a mouse model of OA, greater alveolar bone loss was found in cases of periodontitis35. Also, the same bacterial DNA has been found in the periodontal tissue and synovial fluid of patients with OA36. These suggest that bacterial pathogens causing periodontitis might spread to joints through the bloodstream37 and/or bacterial lipopolysaccharides may increase the risk of individuals developing OA36. These findings support the hypothesis that periodontal pathogens could modify the homeostasis of the joint via a direct effect or a cross-reaction with immunologic tolerance of the bacterial biofilm acting on the cartilage and surrounding tissues. In addition, an Omics-based study has identified gene signatures as common significant biomarkers/targets associated with the molecular mechanism of periodontitis, RA and OA38. Otherwise, promising results already suggest the efficacy of certain symptomatic slow-acting drugs for OA in periodontitis17,39. Conversely, introducing a conditioned medium from periodontal ligament-derived stem cells to osteoarthritic joints could be a potential treatment to prevent OA progression by inhibiting inflammation31. Further studies are needed to appreciate if specific treatment of periodontitis or KOA might be effective for patients with either disease. Also, it will be interesting to know whether improving oral health-related behaviors and access to oral health care could be a solution to reduce the prevalence and severity of both periodontitis and KOA. In the meantime, clinicians treating OA should consider the need for dental care for their patients17.
This study has many limitations. Using a cross-sectional study design does not allow us to demonstrate a cause-and-effect relationship between periodontitis and OA and evidence for the bidirectional nature of the association, as would have been possible with a prospective cohort study. Data on oral health practices relies on participant declarations. It is therefore impossible to confirm it. Also, performing bacteriological samples from the knee and oral cavity would have provided further evidence in favor of this link. However, for ethical reasons, samples from the knee can be taken globally during surgery, which was not the case for the patients in our study. The non-randomized sampling technique related to the hospital-based design is a major selection bias. Furthermore, the data collected here are hospital data, only from outpatients. We did not include any inpatients. Then, the findings of this study cannot be generalized without caution. A community evaluation could probably provide more reliable and extrapolable results.
In conclusion, in this study, aiming to determine the prevalence and distribution of periodontitis and the association between the severity of KOA and periodontitis in subjects living with KOA, we found that periodontitis prevalence is very high with most of participants having a poor oral hygiene and practices. Periodontitis was associated with severe KOA, poor oral health practices and poor oral hygiene. There is a need for studies to indisputably demonstrate the link between KOA and periodontitis, specifically in the community with a random sampling. Until then, there is a need to improve oral health-related behaviors and access to oral health care for patients with KOA.
Acknowledgements
An earlier version of this manuscript was presented as an abstract entitled Prévalence et déterminants des parodontites chez les sujets suivis pour gonarthrose au Cameroun at The French Congress of Rheumatology (December 2023, Paris, France). according to the following link: https://www.sciencedirect.com/science/article/abs/pii/S1169833023007676; https://doi.org/10.1016/j.rhum.2023.10.394. We thank the participants and all the Rheumatology and Stomatology Units of the Douala General Hospital staff and its Director Pr Henri Nname Luma.
Author contributions
Design and design: HSCT, FKL, SRSN, CMT, JA. Data collection: HSCT, FKL, SRSN, CDN, LEEB. Data analysis and interpretation: CDN, HSCT, FKL, SRSN. Manuscript writing: HSCT, FKL, SRSN, CMT, CDN, FAT, SPC. Manuscript revision: HSCT, FBS, FKL, SRSN, CMT, LEEB, SPC. All authors read and approve the final version for publication.
Funding
No funding was received for this study.
Data availability
The data that support the findings of this study are not openly available due to reasons of sensitivity and are available from the corresponding author upon reasonable request. Data are located in controlled access data storage at the Faculty of Medicine and Pharmaceutical Sciences of the University of Dschang.
Declarations
Competing interests
The authors state they have no competing interests.
Ethics approval and consent to participate
We have obtained an ethical clearance from the Ethical Regional Committee for the Littoral Region (n° 2023/6/CE/CRERSHLITTORAL) and research authorization from the institutional board of the Douala General Hospital (n°033/AR/MINSANTE/HGD/DM/02/23). We conducted this study in strict compliance with the fundamental principles of scientific research in medicine. Patients were free to participate in the study without external constraints. We obtained an informed, written and signed consent form from each participant. Data were only available only for the collection data team through an Excel file.
Abbreviations
American Association of Periodontology
American Collège of Rheumatology
American Diabetes Association
Body mass index
Clinical attachment loss
Dutch periodontal screening index
European Federation of Periodontology
European Alliance of Association for Rheumatology
High blood pressure
Kellgren and Lawrence
Knee osteoarthritis
Motivation for oral hygiene
National Institute for Health and Care Excellence
Patient living with HIV
Periodontal pocket
Statistical Package for Social Sciences
Visual analog scale
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Abstract
Osteoarthritis (OA) is a slowly evolving, multifactorial disorder that affects joints, particularly the knee. Periodontitis is an infection of the tissues supporting the teeth, leading to significant tooth loss. Recent studies suggest an association between Knee OA (KOA) and periodontitis, with the prevalence of periodontitis increasing with the severity of KOA. We aimed to determine the prevalence and distribution of periodontitis and the association between the severity of KOA and periodontitis in subjects living with KOA. A cross-sectional study was conducted in an outpatient clinic at the Rheumatology unit of the Douala General Hospital between October 2022 and June 2023. Data were collected using a questionnaire, an endo-buccal examination grid, radiological images and medical records. A multivariate analysis using logistic regression was performed, including the relevant variables in the bivariate analysis. We included 253 participants (201 women) with a median age of 63 years [54–70]. The mean visual analog scale was 52.7 ± 27.9 mm. The mean Lequesne index was 12.25 ± 5.03. Kellgren and Lawrence (K&L) grade 2 was predominant (61.7%), as was tricompartimental KOA (85.4%). The brushing method was appropriate for 40.3% of the participants, while more than a quarter (26.7%) were brushing their teeth for more than 3 min. The oral hygiene was good for only the third (33.6%) of the population. The prevalence of periodontitis was 62.5% [56.1–68]. Periodontitis was significantly associated with radiological K&L grade 4 (OR 5.39 [1.27–28.98]; p = 0.03), poor oral hygiene (OR 34 [7.46–277.71]; p < 0.001), visits to the dentist [in case of problems] (OR 8.54 [3.09–28.58]; p < 0.001) and brushing time (OR 21.93 [5.66–123.24]; p < 0.001). Many participants in this study had poor brushing habits, and only a few had good oral hygiene. Periodontitis is common in patients with KOA, affecting almost 2 patients out of three at the Douala General Hospital in Cameroon and is associated with the severity of KOA, poor oral hygiene and poor oral hygiene habits.
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1 University of Dschang, Department of Epidemiology and Public Health, Faculty of Medicine and Pharmaceutical Sciences, Dschang, Cameroon (GRID:grid.8201.b) (ISNI:0000 0001 0657 2358)
2 University of Dschang, Department of Internal Medicine and Specialities, Faculty of Medicine and Pharmaceutical Sciences, Dschang, Cameroon (GRID:grid.8201.b) (ISNI:0000 0001 0657 2358); Douala General Hospital, Department of Internal Medicine, Douala, Cameroon (GRID:grid.513958.3); Health and Human Development (2HD) Research Network, Douala, Cameroon (GRID:grid.512673.4)
3 University of Dschang, Department of Internal Medicine and Specialities, Faculty of Medicine and Pharmaceutical Sciences, Dschang, Cameroon (GRID:grid.8201.b) (ISNI:0000 0001 0657 2358); Health and Human Development (2HD) Research Network, Douala, Cameroon (GRID:grid.512673.4); Dschang Regional Annex Hospital, Department of Internal Medicine, Dschang, Cameroon (GRID:grid.512673.4)
4 University of Dschang, Department of Epidemiology and Public Health, Faculty of Medicine and Pharmaceutical Sciences, Dschang, Cameroon (GRID:grid.8201.b) (ISNI:0000 0001 0657 2358); Ministry of Public Health, Yaounde, Cameroon (GRID:grid.415857.a) (ISNI:0000 0001 0668 6654)
5 Dschang Regional Annex Hospital, Department of Internal Medicine, Dschang, Cameroon (GRID:grid.8201.b); University of Dschang, Department of Surgery and Specialities, Faculty of Medicine and Pharmaceutical Sciences, Dschang, Cameroon (GRID:grid.8201.b) (ISNI:0000 0001 0657 2358)
6 Dschang Regional Annex Hospital, Department of Internal Medicine, Dschang, Cameroon (GRID:grid.8201.b); University of Dschang, Department of Radiology, Biophysics, and Medical Imaging, Faculty of Medicine and Pharmaceutical Sciences, Dschang, Cameroon (GRID:grid.8201.b) (ISNI:0000 0001 0657 2358)
7 Douala General Hospital, Department of Internal Medicine, Douala, Cameroon (GRID:grid.513958.3); University of Douala, Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, Douala, Cameroon (GRID:grid.413096.9) (ISNI:0000 0001 2107 607X)
8 University of Douala, Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, Douala, Cameroon (GRID:grid.413096.9) (ISNI:0000 0001 2107 607X); Douala Laquintinie Hospital, Department of Rheumatology, Douala, Cameroon (GRID:grid.413096.9)
9 University of Dschang, Department of Epidemiology and Public Health, Faculty of Medicine and Pharmaceutical Sciences, Dschang, Cameroon (GRID:grid.8201.b) (ISNI:0000 0001 0657 2358); Ministry of Public Health, Yaounde, Cameroon (GRID:grid.415857.a) (ISNI:0000 0001 0668 6654); Meilleur Accès aux soins de Santé (MaSanté), Department of Health Research, Yaounde, Cameroon (GRID:grid.415857.a)