Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2022 Aug 21;49(12):1262–1274. doi: 10.1111/jcpe.13615

Periodontitis prevalence in patients with ulcerative colitis and Crohn's disease ‐ PPCC: A case–control study

Kristina Bertl 1,2, Johan Burisch 3,4, Nikolaos Pandis 5, Corinna Bruckmann 6, Björn Klinge 1,7, Andreas Stavropoulos 1,6,
PMCID: PMC9804609  PMID: 35781889

Abstract

Aim

The aim of this questionnaire‐based case–control study was to assess whether self‐reported oral health and periodontitis in patients with ulcerative colitis (UC) and Crohn's disease (CD) differ from those in matched controls without inflammatory bowel disease (IBD).

Materials and Methods

A survey including questions on general anamnestic information, IBD diagnosis, and oral health was distributed online. Self‐perceived overall health of teeth and gums, severe periodontitis, and tooth loss were defined as outcome parameters.

Results

Analyses were based on answers from 1108 patients with IBD and 3429 controls. Patients with IBD reported significantly worse oral health and more periodontal problems compared to controls. Regression analyses corrected for relevant confounders showed significantly increased odds for fair or poor self‐perceived overall health of teeth and gums (odds ratio [OR] 2.147 and 2.736, respectively) and for severe periodontitis (OR 1.739 and 2.574, respectively) for patients with UC and CD compared to controls; patients with CD presented additionally 91% higher odds for having <20 remaining teeth.

Conclusion

Patients with UC and CD have significantly increased odds for worse self‐perceived oral health and severe periodontitis compared to controls, with the former being more severely affected and losing more teeth. It is strongly recommended that patients with IBD are kept under close surveillance to prevent periodontitis development and/or mitigate its progression.

Keywords: case–control study, Crohn's disease, inflammatory bowel disease, periodontal disease, ulcerative colitis


Clinical Relevance.

Scientific rationale for study: The aetiopathogenesis of inflammatory bowel diseases (IBD) has similarities to that of periodontitis, and previous studies have indicated an association between both diseases.

Principal findings: Based on the answers of 1108 cases and 3429 matched controls, patients with IBD had higher odds for worse self‐perceived oral health and for severe periodontitis compared to controls. Patients with Crohn's disease were those most affected and had also significantly fewer teeth than the controls.

Practical implications: It is strongly recommended that patients with IBD are kept under close surveillance to prevent periodontitis and/or mitigate its progression and tooth loss.

1. INTRODUCTION

The aetiopathogenesis of inflammatory bowel diseases (IBD; i.e., ulcerative colitis [UC] and Crohn's disease [CD]) appears in many aspects similar to that of periodontitis. Both diseases involve an excessive inflammatory response in the intestinal or oral mucosa, respectively, to a microbial trigger in a susceptible host. This response is characterized by massive tissue infiltration by neutrophils, as first‐line defence mechanism, which at the same time causes tissue destruction (Cho, 2008; Graves, 2008; Indriolo et al., 2011; Bartold & Van Dyke, 2013; Bertl et al., 2016; de Souza & Fiocchi, 2016). Additionally, both diseases share common risk factors (e.g., poor oral hygiene, smoking, diet, psychosocial stress, etc.) (Genco & Borgnakke, 2013; Ananthakrishnan et al., 2014; Martin et al., 2015; Racine et al., 2016; Li et al., 2021).

It has been reported that patients being diagnosed with IBD present higher prevalence and/or severity of periodontitis compared to controls without IBD (see reviews by Agossa et al., 2017; Papageorgiou et al., 2017; She et al., 2020; Agossa et al., 2021; Lorenzo‐Pouso et al., 2021; Nijakowski et al., 2021; Y. Zhang et al., 2021). Specifically, in small‐sized cross‐sectional studies, patients with IBD presented with increased probing pocket depths, more clinical attachment loss, and/or increased gingival bleeding tendency compared to subjects without IBD (Brito et al., 2008; Habashneh et al., 2012; Vavricka et al., 2013; Slebioda et al., 2014; Koutsochristou et al., 2015; Schmidt et al., 2018; L. Zhang et al., 2020). Further, differences in the oral microflora have been reported, which may partly be due to specific characteristics of IBD patients: for example, IBD patients harbour higher numbers of bacteria related to opportunistic infections compared to non‐IBD subjects (Van Dyke et al., 1986; Stein et al., 2010; Docktor et al., 2012; Brito et al., 2013; Said et al., 2014; Schmidt et al., 2018; Xun et al., 2018). Furthermore, it has been very recently reported that the gut microbiome of IBD patients— compared to that of IBD‐free controls—is significantly more like the oral microbiome (Imai et al., 2021). Recent registry‐based, large‐scale studies of Asian populations have also indicated a potential bi‐directional relationship, that is, those suffering from IBD are at significantly increased risk to develop periodontitis, while being diagnosed with periodontitis significantly increased the risk to develop IBD (Chi et al., 2018; Lin et al., 2018; Kang et al., 2020).

The incidence of IBD is increasing worldwide. In Europe, more than 1.3 million people are suffering from it, with northern European countries appearing more affected compared to those in the south (Burisch & Munkholm, 2015; Zhao et al., 2021). Considering the known impact of periodontitis on the quality of life and on the systemic health, as well as its financial burden at the personal and societal level (The Economist Intelligence Unit, 2021), it is of importance to know whether IBD patients are more prone to periodontitis. However, there is paucity of data from Europe on this topic. The aim of the present questionnaire‐based case–control study was to assess on a large scale whether self‐perceived overall health of teeth and gums, severe periodontitis, and tooth loss in UC and CD patients differ from those in matched controls without IBD.

2. MATERIALS AND METHODS

2.1. Population details and distribution of the questionnaire

The present questionnaire‐based case–control study (Periodontitis Prevalence in Ulcerative Colitis & Crohn's Disease Patients: the PPCC study) was conducted in Denmark and included IBD patients and matched controls (i.e., not diagnosed with IBD) in a 1:3 ratio. The ratio of 1:3 was chosen to achieve at least a power of 80% assuming an alpha of 0.05, a correlation coefficient between cases and controls of 0.2, an odds ratio (OR) of 3, and a prevalence of exposure (i.e., presence of periodontitis) in controls of 0.2 (Hennessy et al., 1999). This represents a very conservative assumption, as the calculation is based on a small number of cases (n = 50) and any increase in the number of cases results in a higher power. A web‐based survey tool (Sunet Survey) was used, allowing anonymous response to the questionnaire. Information about the study was distributed to all members of the Danish Colitis‐Crohn Association (CCF) (www.ccf.dk; 4200 IBD patients) via email, homepage, and social media. The survey remained open for receiving responses for a period of 6 months (i.e., from November 2018 to April 2019), and CCF members received three reminders in total. Thereafter, potential controls were identified from the database of Statistics Denmark (www.dst.dk), a state‐owned institute under the Danish Ministry of the Interior and Housing. These were matched to the IBD patients according to (a) gender, (b) age, (c) education (up to high school/higher education up to 3 years/higher education >3 years), (d) income after taxes (10,000 DKK/≥10,000 DKK), and (e) living area (city/non‐city). The matching based on this database a priori excluded citizens with a UC or CD diagnosis, that is, data of controls were linked to the National Patient Registry using the unique Danish ID number, which includes information on all diagnoses, procedures, and treatments of citizens in the public Danish healthcare system. Based on previous experience of Statistics Denmark, and an expected age‐dependent response rate in similar type of surveys of 25%–33%, 9–12 controls were matched to each IBD case. The identified potential controls received information about the study directly via email in the national official communication platform (www.e-boks.com), but their answers were treated anonymously. The online platform remained open for receiving responses for a period of 6 months (i.e., from July 2020 to December 2020), and the identified controls received three reminders in total. No ethical approval is required for this type of study in Denmark.

2.2. Content of the questionnaire

The questionnaire included questions on general information (i.e., age, gender, body height and weight, smoking status, systemic diseases, living area, education, and income after taxes), oral‐health‐related questions (i.e., number of teeth, state of teeth and gums), as well as questions previously recommended for self‐reported surveillance of periodontitis (Eke et al., 2013). The questionnaire sent out to the cases additionally included a question on IBD diagnosis (i.e., UC, CD, or unclassified IBD). Other parts of the questionnaire, such as IBD‐specific questions and questions on oral‐health‐related quality of life, oral lesions, details on recent dental visits, and so on, will be reported elsewhere. All information and questions were provided in Danish. Based on the provided answers, the body mass index (BMI) was calculated. Further, based on five questions for self‐reported surveillance of periodontitis, age, and smoking status, the Periodontal Screening Score (PESS) (Carra et al., 2018), which had been previously validated for identifying severe periodontitis cases, was calculated. PESS ≥5 is indicative for severe periodontitis (Carra et al., 2018).

2.3. Statistical analysis

Frequency distribution for categorical variables and means, standard deviations (SDs), medians, and interquartile ranges for continuous variables are reported for IBD patients and controls and separately for UC and CD patients. Patients who indicated that they had unclassified IBD were grouped with UC, whereas patients reporting to be diagnosed with both UC and CD were excluded from any secondary analyses involving only the cases. To test any differences between controls and IBD patients or between UC and CD patients, either Fisher's exact test or chi‐squared test was applied for categorical parameters (i.e., chi‐squared test was applied if each cell presented with a frequency >5; otherwise Fisher's exact test was used) and for continuous variables either an independent t‐test (for normally distributed data) or a Mann–Whitney U‐test (for non‐normally distributed data). Normality of the data was controlled graphically by Q–Q plots and by the Shapiro–Wilk test. The following three parameters were defined as the primary outcome variables: (1) self‐perceived overall health of teeth and gums (dichotomous outcome parameter; excellent/very good/good vs. fair/poor); (2) PESS ≥5 (dichotomous outcome parameter; PESS 1–4 vs. PESS ≥5); and (3) number of teeth (dichotomous outcome parameter; ≥20 teeth vs. 10–19 teeth/1–9 teeth/edentulous). Patient group (control/UC/CD) was defined as the main predictor, whereas age, gender, and smoking status (never/former/current) were defined as a priori confounders. In a first step, for each of the primary outcome variables, a binary logistic regression analysis including the main predictor and the a priori confounders was conducted as a base model. In a second step, the following potential confounders were added one at the time to the base model: diabetes; osteoporosis; rheumatoid arthritis; ankylosing spondylitis; psoriasis; depression; high cholesterol; cardiovascular disease; asthma; chronic obstructive pulmonary disease; living area (city/suburban area/countryside); education (no school or primary school/high school/higher education up to 3 years/higher education up to 6 years and/or PhD); income after taxes (<5000 DKK/5000–<10,000 DKK/10,000–<20,000 DKK/≥20,000 DKK); BMI; and PESS ≥5 and/or tooth number, depending on the primary outcome parameter of the specific regression analysis. All confounders changing the OR of the main predictor (i.e., patient group) by ≥10% were added in the base model to construct the final model. Statistical analysis was performed with STATA/IC 17.0 for Mac, and a p‐value ≤.05 was considered as statistically significant.

3. RESULTS

3.1. Response rate

Within 6 months, 1108 IBD patients responded to the survey (response rate based on the known number of CCF members: 26.4%); 538 patients reported to be diagnosed with UC, 527 with CD, 28 with unclassified IBD, and 15 with both UC and CD. Based on this sample of cases, 12,949 potential controls were matched and contacted; within a period of 6 months, 3429 eligible answers of controls were received (response rate: 26.5%).

3.2. General characteristics

The general characteristics of IBD patients and controls are displayed in Table 1. Age (48.0 vs. 48.9 years, respectively), income (61.0% vs. 61.2%, respectively, ≥10,000 DKK), and BMI (26.2 vs. 26.3, respectively) were similar between IBD patients and controls. Some variation was observed regarding gender and education, but the differences were only up to 5% and 7%, respectively, within the subcategories. A large difference between IBD patients and controls was observed with regard to the living area (i.e., 48.3% vs. 28.6%, respectively, living in a city). Hence, although the invited 12,949 potential controls were matched to the IBD patients, those finally answering and included resulted in a control group that included more females and individuals with a high education and living in the countryside, compared to the IBD group. Further, controls had a higher percentage of never smokers (53.1% vs. 42.0%, respectively), while the percentage of current smokers was comparable in controls and IBD patients (14.0% vs. 16.5%, respectively). Finally, IBD patients presented a significantly higher percentage for most of the assessed systemic diseases.

TABLE 1.

Self‐reported general characteristics of the inflammatory bowel disease (IBD) patients (n = 1108) and controls (n = 3429)

Parameter IBD patients Controls p‐Value
Gender (n [%])
Female 825 (74.5) 2714 (79.1) .001
Male 283 (25.5) 715 (20.9)
Age
Mean (SD) 48.0 (14.8) 48.9 (13.3) .068 a
Median (Q1; Q3) 49 (37; 59) 50 (40; 57)
BMI
Mean (SD) 26.2 (5.4) 26.3 (5.4) .761 b
Median (Q1; Q3) 25.3 (22.4; 29.1) 25.2 (22.6; 29.0)
Smoking (n [%])
Never 465 (42.0) 1820 (53.1) <.001
Former 460 (41.5) 1129 (32.9)
Current 183 (16.5) 480 (14.0)
Systemic diseases (present; n [%])
Diabetes 40 (3.6) 89 (2.6) .077
Osteoporosis 75 (6.8) 53 (1.6) <.001
Rheumatoid arthritis 49 (4.4) 45 (1.3) <.001
Ankylosing spondylitis 30 (2.7) 11 (0.3) <.001
Psoriasis 64 (5.8) 80 (2.3) <.001
Depression 89 (8.0) 157 (4.6) <.001
High cholesterol 73 (6.6) 147 (4.3) .002
Cardiovascular disease 143 (12.9) 262 (7.6) <.001
Asthma 92 (8.3) 190 (5.5) .001
COPD 15 (1.4) 26 (0.8) .069
Living area (n [%])
City 535 (48.3) 980 (28.6) <.001
Suburban area 370 (33.4) 905 (26.4)
Countryside 203 (18.3) 1544 (45.0)
Education (n [%])
No school 1 (0.1) 19 (0.5) <.001 c
Primary school 157 (14.2) 410 (12.0)
High school 108 (9.8) 260 (7.6)
Higher education up to 3 years 501 (45.2) 1454 (42.4)
Higher education up to 6 years 324 (29.2) 1219 (35.5)
PhD 17 (1.5) 67 (2.0)
Income (n [%])
<5000 DKK 130 (11.7) 352 (10.2) .274
5000–<10,000 DKK 303 (27.3) 980 (28.6)
10,000–<20,000 DKK 413 (37.3) 1223 (35.7)
≥20,000 DKK 262 (23.7) 874 (25.5)

Note: Bold values indicate statistical significance.

Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; DKK, Danish crowns; Q1/Q3, first/third quartile; SD, standard deviation.

a

p‐value relates to the mean values, and independent t‐test was applied.

b

p‐value relates to the median values, and Mann–Whitney U‐test was applied.

c

Calculation of the Fisher's exact test was not possible for these data, and p‐value is based on chi‐squared test.

In Appendix S1, IBD patients are split into those diagnosed with UC or CD; patients with CD included a significantly higher number of females, current smokers, and patients with psoriasis, but were significantly younger, had less frequently high cholesterol, and had lower income.

3.3. Dental and periodontal characteristics

The self‐reported dental and periodontal characteristics of IBD patients and controls are displayed in Table 2. Overall, IBD patients indicated having a worse oral health status compared to controls. Specifically, the percentage of IBD patients perceiving the state of their teeth and gums as poor or very poor was about 3 times higher than that in the controls, and 15.7% of the IBD patients versus only 9.7% of the controls had less than 20 remaining teeth. The responses to the questions of the tool for self‐reported surveillance of periodontitis indicated significantly more periodontal problems among IBD patients, that is, the percentage of IBD patients indicating periodontal problems was about twice as high as that in the controls for most of the questions. Finally, a significantly higher percentage of the IBD patients had, compared to controls, a PESS ≥5 (31.8% vs. 19.9%, respectively) and ≥9 (6.8% vs. 2.8%, respectively).

TABLE 2.

Self‐reported dental and periodontal characteristics of the inflammatory bowel disease (IBD) patients (n = 1108) and controls (n = 3429)

Parameter IBD patients Controls p‐Value
Tooth number (n [%])
Edentulous 6 (0.5) 23 (0.7) <.001
1–9 teeth 14 (1.3) 59 (1.7)
10–19 teeth 154 (13.9) 251 (7.3)
≥20 teeth 934 (84.3) 3096 (90.3)
State of the teeth (n [%])
Excellent 122 (11.0) 526 (15.3) <.001
Very good 252 (22.7) 1124 (32.8)
Good 190 (17.2) 756 (22.1)
Average 287 (25.9) 758 (22.1)
Poor 187 (16.9) 195 (5.7)
Very poor 63 (5.7) 56 (1.6)
Do not know 7 (0.6) 14 (0.4)
State of the gums (n [%])
Excellent 101 (9.1) 498 (14.5) <.001
Very good 229 (20.7) 1090 (31.8)
Good 191 (17.2) 733 (21.4)
Average 316 (28.5) 817 (23.8)
Poor 217 (19.6) 235 (6.9)
Very poor 45 (4.1) 38 (1.1)
Do not know 9 (0.8) 18 (0.5)
Do you think you might have gum disease? (n [%])
Yes 330 (29.8) 561 (16.3) <.001
No 673 (60.7) 2526 (73.7)
Do not know 105 (9.5) 342 (10.0)
Overall, how would you rate the health of your teeth and gums? (n [%])
Excellent 98 (8.8) 439 (12.8) <.001
Very good 261 (23.6) 1267 (37.0)
Good 280 (25.3) 1008 (29.4)
Fair 274 (24.7) 507 (14.8)
Poor 189 (17.1) 183 (5.3)
Do not know 6 (0.5) 25 (0.7)
Have you ever had treatment for gum disease such as scaling and root planing, sometimes called “deep cleaning”? (n [%])
Yes 264 (23.8) 613 (17.9) <.001
No 760 (68.6) 2538 (74.0)
Do not know 84 (7.6) 278 (8.1)
Have you ever had any teeth become loose on their own, without an injury? (n [%])
Yes 163 (14.7) 231 (6.7) <.001
No 894 (80.7) 3093 (90.2)
Do not know 51 (4.6) 105 (3.1)
Have you ever been told by a dental professional that you lost bone around your teeth? (n [%])
Yes 104 (9.4) 161 (4.7) <.001
No 952 (85.9) 3157 (92.1)
Do not know 52 (4.7) 111 (3.2)
During the past 3 months, have you noticed a tooth that does not look right? (n [%])
Yes 148 (13.4) 233 (6.8) <.001
No 912 (82.3) 3138 (91.5)
Do not know 48 (4.3) 58 (1.7)
In the last 7 days, how many times did you use dental floss or any other device to clean between your teeth? (n [%])
Never 183 (16.5) 605 (17.6) .389
1–7 times 925 (83.5) 2824 (82.4)
In the last 7 days, how many times did you use mouthwash or other dental rinse product that you use to treat dental disease or dental problems? (n [%])
Never 961 (86.7) 3069 (89.5) .011
1–7 times 147 (13.3) 360 (10.5)
Have your parents or siblings now or in the past had problems with their gums and/or lost their teeth early in life? (n [%])
Yes 483 (43.6) 1443 (42.1) .218
No 452 (40.8) 1373 (40.0)
Do not know 173 (15.6) 613 (17.9)
Have your gums bled recently, for example, when brushing your teeth? (n [%])
Yes 375 (33.8) 681 (19.9) <.001
No 733 (66.2) 2748 (80.1)
Do you have food impaction between your teeth? (n [%])
Yes 613 (55.3) 1537 (44.8) <.001
No 495 (44.7) 1892 (55.2)
Do you notice your teeth getting longer? (n [%])
Yes 216 (19.5) 463 (13.5) <.001
No 892 (80.5) 2966 (86.5)
PESS a
Mean (SD) 3.7 (2.7) 3.1 (2.2) <.001 b
Median (Q1; Q3) 4 (2; 5) 3 (2; 4)
PESS (n [%]) a
1–4 753 (68.3) 2730 (80.2) <.001
5–8 274 (24.9) 580 (17.0)
9–13 75 (6.8) 94 (2.8)
PESS ≥ 5 (yes; n [%]) c 352 (31.8) 681 (19.9) <.001

Note: Bold values indicate statistical significance.

Abbreviations: PESS, periodontal screening score; Q1/Q3, first/third quartile; SD, standard deviation.

a

Based on 3404 controls and 1102 cases.

b

p‐Value relates to the median values, and MannWhitney U‐test was applied.

c

Based on 3419 controls and 1107 cases.

In Table 3, IBD patients are split into those diagnosed with UC or CD. Patients with CD perceived more often the state of the teeth and gums as poor or very poor and had significantly fewer teeth, compared to UC patients. Further, patients with CD were significantly more often thinking they might have gum disease, perceiving the overall health of their teeth and gums as fair or poor, and having recently bleeding gums.

TABLE 3.

Self‐reported dental and periodontal characteristics of the patients with ulcerative colitis (including unclassified inflammatory bowel disease; n = 566) and Crohn's disease (n = 527)

Parameter Ulcerative colitis Crohn's disease p‐Value
Tooth number (n [%])
Edentulous 0 (0.0) 6 (1.2) .003 a
1–9 teeth 7 (1.2) 7 (1.3)
10–19 teeth 64 (11.3) 87 (16.5)
≥20 teeth 495 (87.5) 427 (81.0)
State of the teeth (n [%])
Excellent 74 (13.1) 48 (9.1) <.001 b
Very good 143 (25.3) 106 (20.1)
Good 91 (16.1) 95 (18.0)
Average 161 (28.4) 123 (23.4)
Poor 70 (12.4) 114 (21.6)
Very poor 24 (4.2) 37 (7.0)
Do not know 3 (0.5) 4 (0.8)
State of the gums (n [%])
Excellent 61 (10.8) 40 (7.6) .001 b
Very good 141 (24.9) 86 (16.3)
Good 89 (15.7) 98 (18.6)
Average 159 (28.1) 152 (28.8)
Poor 92 (16.3) 122 (23.2)
Very poor 21 (3.7) 23 (4.4)
Do not know 3 (0.5) 6 (1.1)
Do you think you might have gum disease? (n [%])
Yes 146 (25.8) 178 (33.8) .014
No 365 (64.5) 300 (56.9)
Do not know 55 (9.7) 49 (9.3)
Overall, how would you rate the health of your teeth and gums? (n [%])
Excellent 64 (11.3) 34 (6.5) <.001 a
Very good 147 (26.0) 112 (21.2)
Good 143 (25.3) 133 (25.2)
Fair 139 (24.5) 130 (24.7)
Poor 72 (12.7) 113 (21.4)
Do not know 1 (0.2) 5 (1.0)
Have you ever had treatment for gum disease such as scaling and root planing, sometimes called “deep cleaning”? (n [%])
Yes 134 (23.7) 125 (23.7) .583
No 393 (69.4) 357 (67.8)
Do not know 39 (6.9) 45 (8.5)
Have you ever had any teeth become loose on their own, without an injury? (n [%])
Yes 73 (12.9) 87 (16.5) .222
No 469 (82.9) 416 (78.9)
Do not know 24 (4.2) 24 (4.6)
Have you ever been told by a dental professional that you lost bone around your teeth? (n [%])
Yes 50 (8.8) 52 (9.9) .008
No 500 (88.4) 440 (83.5)
Do not know 16 (2.8) 35 (6.6)
During the past 3 months, have you noticed a tooth that does not look right? (n [%])
Yes 65 (11.5) 79 (15.0) .141
No 479 (84.6) 422 (80.1)
Do not know 22 (3.9) 26 (4.9)
In the last 7 days, how many times did you use dental floss or any other device to clean between your teeth? (n [%])
Never 99 (17.5) 81 (15.4) .345
1–7 times 467 (82.5) 446 (84.6)
In the last 7 days, how many times did you use mouthwash or other dental rinse product that you use to treat dental disease or dental problems? (n [%])
Never 495 (87.5) 454 (86.2) .523
1–7 times 71 (12.5) 73 (13.8)
Have your parents or siblings now or in the past had problems with their gums and/or lost their teeth early in life? (n [%])
Yes 252 (44.5) 225 (42.7) .655
No 223 (39.4) 222 (42.1)
Do not know 91 (16.1) 80 (15.2)
Have your gums bled recently, for example, when brushing your teeth? (n [%])
Yes 168 (29.7) 200 (38.0) .004
No 398 (70.3) 327 (62.0)
Do you have food impaction between your teeth? (n [%])
Yes 316 (55.8) 288 (54.7) .695
No 250 (44.2) 239 (45.3)
Do you notice your teeth getting longer? (n [%])
Yes 109 (19.3) 101 (19.2) .969
No 457 (80.7) 426 (80.8)
PESS c
Mean (SD) 3.7 (2.7) 3.7 (2.8) .980 d
Median (Q1; Q3) 4 (2; 5) 3 (2; 5)
PESS (n [%]) c
1–4 395 (69.9) 351 (67.2) .408
5–8 129 (22.8) 137 (26.3)
9–13 41 (7.3) 34 (6.5)
PESS ≥ 5 (yes; n [%]) e 171 (30.2) 173 (32.9) .341

Note: Bold values indicate statistical significance.

Abbreviations: PESS, periodontal screening score; Q1/Q3, first/third quartile; SD, standard deviation.

a

Fisher's exact test was applied.

b

Calculation of the Fisher's exact test was not possible for these data, and p‐value is based on chi‐squared test.

c

Based on 565 patients with ulcerative colitis (including unclassified inflammatory bowel disease) and 522 patients with Crohn's disease.

d

p‐Value relates to the median values, and MannWhitney U‐test was applied.

e

Based on 566 patients with ulcerative colitis (including unclassified inflammatory bowel disease) and 526 patients with Crohn's disease.

3.4. Self‐perceived overall health of teeth and gums

In the base model, diagnosis of UC and CD significantly increased the odds for perceiving a fair or poor state of the overall health of teeth and gums by 2.3 and 3.2 times, respectively. Only PESS ≥5 changed these odds by ≥10% and was added to the final model. Correcting for self‐perceived severe periodontitis slightly reduced the odds, but diagnosis of UC (OR 2.15, 95% confidence interval [CI] 1.73–2.67) and CD (OR 2.74, 95% CI 2.20–3.41) remained highly significant and increased the odds to perceive a fair or poor state of the overall health of teeth and gums. Further, PESS ≥5 (OR 18.86, 95% CI 15.09–23.57) and former smoking (OR 1.23, 95% CI 1.03–1.48) significantly increased the odds for perceiving a fair or poor state of the overall health of teeth and gums, while a higher age significantly reduced the odds (OR 0.95, 95% CI 0.94–0.96) (Table 4).

TABLE 4.

Results of the binary logistic regression analyses for the dichotomous outcome parameter “self‐perceived overall health of teeth and gums”; an odds ratio (OR) >1 indicates higher odds for perceiving the overall health of teeth and gums as fair or poor

Parameter OR 95% CI p‐Value
Lower Upper
Base model
Patient group
Control Ref.
Ulcerative colitis 2.348 1.936 2.849 <.001
Crohn's disease 3.210 2.640 3.902 <.001
Age
Per unit (year) 0.998 0.993 1.003 .390
Gender
Male Ref.
Female 0.980 0.828 1.164 .818
Smoking
Never Ref.
Former 1.449 1.237 1.699 <.001
Current 2.799 2.310 3.392 <.001
Final model
Patient group
Control Ref.
Ulcerative colitis 2.147 1.726 2.670 <.001
Crohn's disease 2.736 2.195 3.412 <.001
PESS
<5 Ref.
≥5 18.856 15.087 23.566 <.001
Age
Per unit (year) 0.950 0.943 0.957 <.001
Gender
Male Ref.
Female 1.020 0.844 1.233 .836
Smoking
Never Ref.
Former 1.233 1.030 1.476 .022
Current 1.072 0.854 1.346 .548

Note: Age, gender, and smoking status were defined as a priori confounders. Bold values indicate significance.

Abbreviations: CI, confidence interval; PESS, periodontal screening score.

3.5. PESS ≥5

In the base model, diagnosis of UC and CD significantly increased the odds for having a PESS ≥5 and these odds were not changed by ≥10% by any of the potential confounders, that is, the base and final model were identical. Specifically, diagnosis of UC (OR 1.74, 95% CI 1.36–2.22) and CD (OR 2.57, 95% CI 2.00–3.32), a higher age (OR 1.12, 95% CI 1.11–1.13), and former (OR 1.97, 95% CI 1.62–2.39) and current smoking (OR 13.39, 95% CI 10.49–17.08) significantly increased the odds for having a PESS ≥5 (Table 5).

TABLE 5.

Results of the binary logistic regression analyses for the dichotomous outcome parameter “periodontal screening score (PESS) ≥ 5”; an odds ratio (OR) >1 indicates higher odds for a PESS ≥5 (i.e., presence of self‐reported severe periodontitis)

Parameter OR 95% CI p‐Value
Lower Upper
Base model/final model a
Patient group
Control Ref.
Ulcerative colitis 1.739 1.360 2.224 <.001
Crohn's disease 2.574 1.998 3.316 <.001
Age
Per unit (year) 1.116 1.107 1.126 <.001
Gender
Male Ref.
Female 1.109 0.908 1.356 .311
Smoking
Never Ref.
Former 1.966 1.620 2.385 <.001
Current 13.386 10.490 17.081 <.001

Note: Age, gender, and smoking status were defined as a priori confounders. Bold values indicate significance.

Abbreviations: CI, confidence interval.

a

None of the potential confounders changed the OR of the main predictor by ≥10%, that is, the base and final model are identical.

3.6. Number of teeth

In the base model, diagnosis of CD significantly increased the odds to have less than 20 teeth by 2.3 times. Only PESS ≥5 changed these odds by ≥10% and was added to the final model. Correcting for self‐perceived severe periodontitis slightly reduced the odds, but diagnosis of CD (OR 1.91, 95% CI 1.46–2.51) remained highly significant and increased the odds of having fewer than 20 teeth. Further, PESS ≥5 (OR 3.44, 95% CI 2.72–4.34), a higher age (OR 1.04, 95% CI 1.03–1.05), and former (OR 1.54, 95% CI 1.21–1.95) and current smoking (OR 2.29, 95% CI 1.72–3.05) significantly increased the odds of having fewer than 20 teeth (Table 6).

TABLE 6.

Results of the binary logistic regression analyses for the dichotomous outcome parameter “tooth number”; an odds ratio (OR) >1 indicates higher odds to have less than 20 teeth

Parameter OR 95% CI p‐Value
Lower Upper
Base model
Patient group
Control Ref.
Ulcerative colitis 1.158 0.867 1.547 .320
Crohn's disease 2.294 1.762 2.985 <.001
Age
Per unit (year) 1.060 1.052 1.069 <.001
Gender
Male Ref.
Female 0.914 0.730 1.146 .437
Smoking
Never Ref.
Former 1.751 1.390 2.205 <.001
Current 4.038 3.106 5.249 <.001
Final model
Patient group
Control Ref.
Ulcerative colitis 1.041 0.776 1.398 .788
Crohn's disease 1.913 1.458 2.510 <.001
PESS
<5 Ref.
≥5 3.437 2.721 4.340 <.001
Age
Per unit (year) 1.039 1.029 1.049 <.001
Gender
Male Ref.
Female 0.895 0.711 1.126 .344
Smoking
Never Ref.
Former 1.535 1.212 1.945 <.001
Current 2.292 1.723 3.049 <.001

Note: Age, gender, and smoking status were defined as a priori confounders. Bold values indicate significance.

Abbreviations: CI, confidence interval; PESS, periodontal screening score.

4. DISCUSSION

The present large‐scale, questionnaire‐based case–control study, using a specific validated tool to assess the association of periodontitis with IBD, is the first of its kind in a European population. The results of the study showed that patients suffering from IBD had significantly higher odds for perceiving the overall health of their teeth and gums as worse and for having severe periodontitis. Patients diagnosed with CD presented even higher odds for these issues compared to those with UC, and additionally presented significantly higher odds for having lost more teeth compared to matched controls without IBD. These results confirm those of previous studies where an association between periodontitis and IBD was suggested. In one of the first systematic reviews summarizing the studies available at that time, that is, generally small‐sized ones with <200 IBD patients each, an OR of 5.1 and 4.0 was calculated for patients with UC or CD, respectively, to also have periodontitis (Papageorgiou et al., 2017). In more recent reviews including studies with larger samples, the OR ranged between 2 and 3 (Nijakowski et al., 2021; Y. Zhang et al., 2021), and, if the first large‐scale, registry‐based, cohort study with >135,000 Taiwanese (Lin et al., 2018) was taken into account, the risk ratio to also have periodontitis ranged between 3 and 4 (Lorenzo‐Pouso et al., 2021).

In the present study, periodontitis was identified using the recently suggested PESS (Carra et al., 2018), which is based on a validated set of questions for self‐reported surveillance of periodontitis (Eke et al., 2013), age, and smoking status. PESS has recently been validated to show moderate to high accuracy in identifying severe cases. Specifically, with a cut‐off level of PESS ≥5, a sensitivity and specificity of 79% and 75%, respectively, and correct classification of 77% of the cases with severe periodontitis (i.e., ≥2 inter‐proximal sites with ≥6 mm attachment level [not on the same tooth] and ≥1 inter‐proximal site with ≥5 mm probing pocket depth) were demonstrated (Carra et al., 2018). Here, the fraction of IBD patients having a PESS ≥5 was about 1.5 times higher than that in the non‐IBD subjects (i.e., 31.8% vs. 19.9%, respectively). This is comparable to what was presented in a recent clinical trial (L. Zhang et al., 2020) including almost 400 IBD patients and showing a periodontitis prevalence of 37.5%. Likewise, when considering all the questions of the tool for self‐reported surveillance of periodontitis (Eke et al., 2013), the fraction of IBD patients indicating periodontal problems in the present study was about twice as high as in the non‐IBD subjects, and CD patients additionally presented a 83% higher odds to have <20 remaining teeth compared to controls. Thus, it appears understandable that UC and CD patients significantly more often perceived their overall health of teeth and gums as fair or poor (OR 2.2 and 2.7, respectively) compared to controls. This finding is in good agreement with previous studies reporting that IBD patients show higher rates of tooth loss, judge that their oral health as worse, and have greater dental treatment needs compared to others of the same age (Rikardsson et al., 2009; Vavricka et al., 2013; L. Zhang et al., 2020; Tan et al., 2021). In this context, the increased rate of tooth loss may reflect higher periodontal disease severity, faster progression, and/or inferior treatment response in IBD patients, but may also be due to caries and/or endodontic problems. Indeed, increased caries activity and hence the need for fillings/dental treatment has been previously reported as a frequent problem of IBD patients (Grössner‐Schreiber et al., 2006; Brito et al., 2008; Rikardsson et al., 2009; Slebioda et al., 2014; Johannsen et al., 2015; Koutsochristou et al., 2015; Schmidt et al., 2018; L. Zhang et al., 2020; Tan et al., 2021). Nevertheless, although self‐reporting of the number of remaining teeth has been proven reliable (i.e., reported differences between clinical assessment and self‐reporting range from 0.1 to 1.5 teeth) (Buhlin et al., 2002; Matsui et al., 2016; Similä et al., 2018; Ueno et al., 2018), any information about the reasons for tooth loss was considered unreliable and no attempt was made in the present study to obtain such information.

In the above‐mentioned study from the National Health Insurance Research Database of Taiwan (Lin et al., 2018), periodontitis patients had a 1.6 times higher risk to develop UC; however, no significant risk for developing CD was detected. Similarly, in another recent registry‐based, large‐scale cohort study, again from an Asian population (Korea) (Kang et al., 2020), periodontitis patients had a 1.1 times higher risk to develop UC—but not CD—during a mean follow‐up of 7 years, and the risk to develop UC was specifically increased (i.e., 1.9 times higher) among smokers ≥65 years of age compared to similarly aged non‐smokers. The difference between the present study, where both IBD entities were associated with significantly higher odds for self‐reported severe periodontitis compared to controls, and the above‐mentioned studies, where only UC was significantly associated with periodontitis, may at least partly be due to different study designs and age‐dependent features of IBD. Specifically, although CD and UC can be diagnosed at any age, the incidence peaks in most populations below 40 years of age, with CD being diagnosed, on average, 5–10 years earlier than UC. Furthermore, UC shows a second incidence peak in the sixth or seventh decade of life (Johnston & Logan, 2008; Burisch & Munkholm, 2015). The Asian studies included only patients who had been diagnosed with periodontitis and without IBD at baseline, and about two‐thirds of the study patients were >40 years of age at baseline (Lin et al., 2018; Kang et al., 2020). Thus, it is likely that these two studies included persons with a higher propensity to UC (due to older age) rather than to CD. Interestingly, in another Taiwanese cohort study, using again the National Health Insurance Research Database, CD patients showed a hazard ratio of 1.4 to develop subsequently periodontitis compared to persons not suffering from CD (Chi et al., 2018). It appears thus clear that periodontitis is strongly associated with IBD, and it may even be that there is a bilateral relationship, that is, that presence of the one disease increases the risk for the development of the other, and/or when both are present, they aggravate each other. Indeed, it has been recently shown in pre‐clinical in vivo experiments that oral bacterial species, found in abundance in periodontitis, can both directly and indirectly exacerbate inflammatory responses in the gut (Jia et al., 2020; Kitamoto et al., 2020; Tsuzuno et al., 2021). In perspective, a similar type of bi‐directional association has been shown between periodontitis and diabetes (Borgnakke, 2019) and suggested for other systemic conditions, for example, rheumatoid arthritis and obesity (Lopez‐Oliva et al., 2019; Jepsen et al., 2020). Here, IBD patients presented indeed with a higher frequency of other systemic diseases, such as rheumatoid arthritis, ankylosing spondylitis, psoriasis, cardiovascular diseases, and so on, compared to the controls. This finding has been apprehended (Bernstein et al., 2005; Burisch et al., 2019), and therefore, these conditions were considered in the statistical analysis as potential confounders; however, none of these comorbidities significantly altered the effect of IBD on any of the outcome parameters. Further, despite the good matching at the time of reaching out to the controls (i.e., matching was performed between the group of IBD patients and the invited controls), the IBD patients and the finally included controls differed significantly in some aspects. Specifically, the control group included fewer men (20.9% vs. 25.5%), fewer controls were living in a city (28.6% vs. 48.3%), and more controls had a higher education up to 6 years and/or PhD (37.5% vs. 30.7%). Nevertheless, these factors were considered in the statistical analyses as potential confounders but did not alter the effect of IBD on any of the outcome parameters.

In perspective, the present questionnaire‐based case–control study comes with some inevitable limitations. Specifically, the control group included relatively more females as well as individuals with a high education and living on the countryside compared to the IBD group. This discrepancy may partly be due to the relatively low response rate observed in this group (i.e., 26.5%). However, this response rate compares well with that in the IBD cases and is within the range of similar type of surveys previously conducted by Statistics Denmark (i.e., between 25% and 33%), which was also the basis for inviting 13,000 matched potential controls. Furthermore, according to the study design treating all answers anonymously, it was not possible to compare the non‐responders with the responders. Finally, since no clinical examination was performed, it was not possible to assess the possible impact of periodontitis stage and extent on IBD presence/activity/severity, and vice versa.

In conclusion, the present results support the notion that UC and CD patients have significantly increased odds for fair or poor self‐perceived overall health of teeth and gums and severe periodontitis; CD patients seem more severely affected and to lose more teeth. It is therefore strongly recommended that IBD patients are kept under close surveillance to prevent periodontitis development and/or mitigate its progression and tooth loss.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

AUTHOR CONTRIBUTIONS

Conceptualization: Kristina Bertl, Corinna Bruckmann, and Andreas Stavropoulos. Organization, execution and data collection: Kristina Bertl, Johan Burisch, and Andreas Stavropoulos. Data analysis, interpretation: Kristina Bertl, Nikolaos Pandis, and Andreas Stavropoulos. Manuscript drafting: Kristina Bertl, Corinna Bruckmann, Johan Burisch, Björn Klinge, and Andreas Stavropoulos.

Supporting information

Data S1. Self‐reported general characteristics of the patients with ulcerative colitis (including unclassified inflammatory bowel disease) (n = 566) and Crohn's disease (n = 527).

ACKNOWLEDGEMENTS

The present study was financially supported by the Eklund Foundation. The authors acknowledge the Danish Colitis‐Crohn Association for distributing the questionnaire.

Bertl, K. , Burisch, J. , Pandis, N. , Bruckmann, C. , Klinge, B. , & Stavropoulos, A. (2022). Periodontitis prevalence in patients with ulcerative colitis and Crohn's disease ‐ PPCC: A case–control study. Journal of Clinical Periodontology, 49(12), 1262–1274. 10.1111/jcpe.13615

Funding information Eklund Foundation

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

REFERENCES

  1. Agossa, K. , Dendooven, A. , Dubuquoy, L. , Gower‐Rousseau, C. , Delcourt‐Debruyne, E. , & Capron, M. (2017). Periodontal manifestations of inflammatory bowel disease: Emerging epidemiologic and biologic evidence. Journal of Periodontal Research, 52, 313–324. [DOI] [PubMed] [Google Scholar]
  2. Agossa, K. , Roman, L. , Gosset, M. , Yzet, C. , & Fumery, M. (2021). Periodontal and dental health in inflammatory bowel diseases: A systematic review. Expert Review of Gastroenterology & Hepatology, 15, 1–15. [DOI] [PubMed] [Google Scholar]
  3. Ananthakrishnan, A. N. , Khalili, H. , Konijeti, G. G. , Higuchi, L. M. , de Silva, P. , Fuchs, C. S. , Willett, W. C. , Richter, J. M. , & Chan, A. T. (2014). Long‐term intake of dietary fat and risk of ulcerative colitis and Crohn's disease. Gut, 63, 776–784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bartold, P. M. , & Van Dyke, T. E. (2013). Periodontitis: A host‐mediated disruption of microbial homeostasis. Unlearning learned concepts. Periodontology 2000, 62, 203–217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bernstein, C. N. , Wajda, A. , & Blanchard, J. F. (2005). The clustering of other chronic inflammatory diseases in inflammatory bowel disease: A population‐based study. Gastroenterology, 129, 827–836. [DOI] [PubMed] [Google Scholar]
  6. Bertl, K. , Pietschmann, P. , & Stavropoulos, A. (2016). Osteoimmunological aspects of periodontal diseases. In Pietschmann P. (Ed.), Principles of osteoimmunology: Molecular mechanisms and clinical applications (pp. 289–321). Springer International Publishing. [Google Scholar]
  7. Borgnakke, W. S. (2019). IDF diabetes atlas: Diabetes and oral health ‐ A two‐way relationship of clinical importance. Diabetes Research and Clinical Practice, 157, 107839. [DOI] [PubMed] [Google Scholar]
  8. Brito, F. , de Barros, F. C. , Zaltman, C. , Pugas Carvalho, A. T. , de Vasconcellos Carneiro, A. J. , Fischer, R. G. , Gustafsson, A. , & de Silva Figueredo, C. M. (2008). Prevalence of periodontitis and DMFT index in patients with Crohn's disease and ulcerative colitis. Journal of Clinical Periodontology, 35, 555–560. [DOI] [PubMed] [Google Scholar]
  9. Brito, F. , Zaltman, C. , Carvalho, A. T. , Fischer, R. G. , Persson, R. , Gustafsson, A. , & Figueredo, C. M. S. (2013). Subgingival microflora in inflammatory bowel disease patients with untreated periodontitis. European Journal of Gastroenterology & Hepatology, 25, 239–245. [DOI] [PubMed] [Google Scholar]
  10. Buhlin, K. , Gustafsson, A. , Andersson, K. , Håkansson, J. , & Klinge, B. (2002). Validity and limitations of self‐reported periodontal health. Community Dentistry and Oral Epidemiology, 30, 431–437. [DOI] [PubMed] [Google Scholar]
  11. Burisch, J. , Jess, T. , & Egeberg, A. (2019). Incidence of immune‐mediated inflammatory diseases among patients with inflammatory bowel diseases in Denmark. Clinical Gastroenterology and Hepatology, 17, 2704–2712.e3. [DOI] [PubMed] [Google Scholar]
  12. Burisch, J. , & Munkholm, P. (2015). The epidemiology of inflammatory bowel disease. Scandinavian Journal of Gastroenterology, 50, 942–951. [DOI] [PubMed] [Google Scholar]
  13. Carra, M. C. , Gueguen, A. , Thomas, F. , Pannier, B. , Caligiuri, G. , Steg, P. G. , Zins, M. , & Bouchard, P. (2018). Self‐report assessment of severe periodontitis: Periodontal screening score development. Journal of Clinical Periodontology, 45, 818–831. [DOI] [PubMed] [Google Scholar]
  14. Chi, Y. C. , Chen, J. L. , Wang, L. H. , Chang, K. , Wu, C. L. , Lin, S. Y. , Keller, J. J. , & Bai, C. H. (2018). Increased risk of periodontitis among patients with Crohn's disease: A population‐based matched‐cohort study. International Journal of Colorectal Disease, 33, 1437–1444. [DOI] [PubMed] [Google Scholar]
  15. Cho, J. H. (2008). The genetics and immunopathogenesis of inflammatory bowel disease. Nature Reviews. Immunology, 8, 458–466. [DOI] [PubMed] [Google Scholar]
  16. de Souza, H. S. , & Fiocchi, C. (2016). Immunopathogenesis of IBD: Current state of the art. Nature Reviews. Gastroenterology & Hepatology, 13, 13–27. [DOI] [PubMed] [Google Scholar]
  17. Docktor, M. J. , Paster, B. J. , Abramowicz, S. , Ingram, J. , Wang, Y. E. , Correll, M. , Jiang, H. , Cotton, S. L. , Kokaras, A. S. , & Bousvaros, A. (2012). Alterations in diversity of the oral microbiome in pediatric inflammatory bowel disease. Inflammatory Bowel Diseases, 18, 935–942. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Eke, P. I. , Dye, B. A. , Wei, L. , Slade, G. D. , Thornton‐Evans, G. O. , Beck, J. D. , Taylor, G. W. , Borgnakke, W. S. , Page, R. C. , & Genco, R. J. (2013). Self‐reported measures for surveillance of periodontitis. Journal of Dental Research, 92, 1041–1047. [DOI] [PubMed] [Google Scholar]
  19. Genco, R. J. , & Borgnakke, W. S. (2013). Risk factors for periodontal disease. Periodontology 2000, 62, 59–94. [DOI] [PubMed] [Google Scholar]
  20. Graves, D. (2008). Cytokines that promote periodontal tissue destruction. Journal of Periodontology, 79, 1585–1591. [DOI] [PubMed] [Google Scholar]
  21. Grössner‐Schreiber, B. , Fetter, T. , Hedderich, J. , Kocher, T. , Schreiber, S. , & Jepsen, S. (2006). Prevalence of dental caries and periodontal disease in patients with inflammatory bowel disease: A case‐control study. Journal of Clinical Periodontology, 33, 478–484. [DOI] [PubMed] [Google Scholar]
  22. Habashneh, R. A. , Khader, Y. S. , Alhumouz, M. K. , Jadallah, K. , & Ajlouni, Y. (2012). The association between inflammatory bowel disease and periodontitis among Jordanians: A case‐control study. Journal of Periodontal Research, 47, 293–298. [DOI] [PubMed] [Google Scholar]
  23. Hennessy, S. , Bilker, W. B. , Berlin, J. A. , & Strom, B. L. (1999). Factors influencing the optimal control‐to‐case ratio in matched case‐control studies. American Journal of Epidemiology, 149, 195–197. [DOI] [PubMed] [Google Scholar]
  24. Imai, J. , Ichikawa, H. , Kitamoto, S. , Golob, J. L. , Kaneko, M. , Nagata, J. , Takahashi, M. , Gillilland, M. G., III , Tanaka, R. , Nagao‐Kitamoto, H. , Hayashi, A. , Sugihara, K. , Bishu, S. , Tsuda, S. , Ito, H. , Kojima, S. , Karakida, K. , Matsushima, M. , Suzuki, T. , … Kamada, N. (2021). A potential pathogenic association between periodontal disease and Crohn's disease. JCI Insight, 6, e148543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Indriolo, A. , Greco, S. , Ravelli, P. , & Fagiuoli, S. (2011). What can we learn about biofilm/host interactions from the study of inflammatory bowel disease. Journal of Clinical Periodontology, 38(Suppl. 11), 36–43. [DOI] [PubMed] [Google Scholar]
  26. Jepsen, S. , Suvan, J. , & Deschner, J. (2020). The association of periodontal diseases with metabolic syndrome and obesity. Periodontology 2000, 83, 125–153. [DOI] [PubMed] [Google Scholar]
  27. Jia, L. , Wu, R. , Han, N. , Fu, J. , Luo, Z. , Guo, L. , Su, Y. , du, J. , & Liu, Y. (2020). Porphyromonas gingivalis and Lactobacillus rhamnosus GG regulate the Th17/Treg balance in colitis via TLR4 and TLR2. Clinical & Translational Immunology, 9, e1213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Johannsen, A. , Fored, M. C. , Håkansson, J. , Ekbom, A. , & Gustafsson, A. (2015). Consumption of dental treatment in patients with inflammatory bowel disease, a register study. PLoS One, 10, e0134001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Johnston, R. D. , & Logan, R. F. (2008). What is the peak age for onset of IBD. Inflammatory Bowel Diseases, 14(Suppl. 2), S4–S5. [DOI] [PubMed] [Google Scholar]
  30. Kang, E. A. , Chun, J. , Kim, J. H. , Han, K. , Soh, H. , Park, S. , Hong, S. W. , Moon, J. M. , Lee, J. , Lee, H. J. , Park, J. B. , Im, J. P. , & Kim, J. S. (2020). Periodontitis combined with smoking increases risk of the ulcerative colitis: A national cohort study. World Journal of Gastroenterology, 26, 5661–5672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Kitamoto, S. , Nagao‐Kitamoto, H. , Jiao, Y. , Gillilland, M. G., III , Hayashi, A. , Imai, J. , Sugihara, K. , Miyoshi, M. , Brazil, J. C. , Kuffa, P. , Hill, B. D. , Rizvi, S. M. , Wen, F. , Bishu, S. , Inohara, N. , Eaton, K. A. , Nusrat, A. , Lei, Y. L. , Giannobile, W. V. , & Kamada, N. (2020). The intermucosal connection between the mouth and gut in commensal pathobiont‐driven colitis. Cell, 182, 447–462.e14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Koutsochristou, V. , Zellos, A. , Dimakou, K. , Panayotou, I. , Siahanidou, S. , Roma‐Giannikou, E. , & Tsami, A. (2015). Dental caries and periodontal disease in children and adolescents with inflammatory bowel disease: A case‐control study. Inflammatory Bowel Diseases, 21, 1839–1846. [DOI] [PubMed] [Google Scholar]
  33. Li, A. , Chen, Y. , Schuller, A. A. , van der Sluis, L. W. M. , & Tjakkes, G. E. (2021). Dietary inflammatory potential is associated with poor periodontal health: A population‐based study. Journal of Clinical Periodontology, 48, 907–918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Lin, C. Y. , Tseng, K. S. , Liu, J. M. , Chuang, H.‐C. , Lien, C.‐H. , Chen, Y.‐C. , Lai, C.‐Y. , Yu, C.‐P. , & Hsu, R.‐J. (2018). Increased risk of ulcerative colitis in patients with periodontal disease: A nationwide population‐based cohort study. International Journal of Environmental Research and Public Health, 15, E2602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Lopez‐Oliva, I. , de Pablo, P. , Dietrich, T. , & Chapple, I. (2019). Gums and joints: Is there a connection? Part two: The biological link. British Dental Journal, 227, 611–617. [DOI] [PubMed] [Google Scholar]
  36. Lorenzo‐Pouso, A. I. , Castelo‐Baz, P. , Rodriguez‐Zorrilla, S. , Pérez‐Sayáns, M. , & Vega, P. (2021). Association between periodontal disease and inflammatory bowel disease: A systematic review and meta‐analysis. Acta Odontologica Scandinavica, 79, 344–353. [DOI] [PubMed] [Google Scholar]
  37. Martin, T. D. , Chan, S. S. , & Hart, A. R. (2015). Environmental factors in the relapse and recurrence of inflammatory bowel disease: A review of the literature. Digestive Diseases and Sciences, 60, 1396–1405. [DOI] [PubMed] [Google Scholar]
  38. Matsui, D. , Yamamoto, T. , Nishigaki, M. , Miyatani, F. , Watanabe, I. , Koyama, T. , Ozaki, E. , Kuriyama, N. , Kanamura, N. , & Watanabe, Y. (2016). Validity of self‐reported number of teeth and oral health variables. BMC Oral Health, 17, 17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Nijakowski, K. , Gruszczyński, D. , & Surdacka, A. (2021). Oral health status in patients with inflammatory bowel diseases: A systematic review. International Journal of Environmental Research and Public Health, 18, 11521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Papageorgiou, S. N. , Hagner, M. , Nogueira, A. V. , Franke, A. , Jäger, A. , & Deschner, J. (2017). Inflammatory bowel disease and oral health: Systematic review and a meta‐analysis. Journal of Clinical Periodontology, 44, 382–393. [DOI] [PubMed] [Google Scholar]
  41. Racine, A. , Carbonnel, F. , Chan, S. S. , Hart, A. R. , Bueno‐de‐Mesquita, H. B. , Oldenburg, B. , van Schaik, F. D. M. , Tjønneland, A. , Olsen, A. , Dahm, C. C. , Key, T. , Luben, R. , Khaw, K. T. , Riboli, E. , Grip, O. , Lindgren, S. , Hallmans, G. , Karling, P. , Clavel‐Chapelon, F. , … Boutron‐Ruault, M. C. (2016). Dietary patterns and risk of inflammatory bowel disease in Europe: Results from the EPIC study. Inflammatory Bowel Diseases, 22, 345–354. [DOI] [PubMed] [Google Scholar]
  42. Rikardsson, S. , Jönsson, J. , Hultin, M. , Gustafsson, A. , & Johannsen, A. (2009). Perceived oral health in patients with Crohn's disease. Oral Health & Preventive Dentistry, 7, 277–282. [PubMed] [Google Scholar]
  43. Said, H. S. , Suda, W. , Nakagome, S. , Chinen, H. , Oshima, K. , Kim, S. , Kimura, R. , Iraha, A. , Ishida, H. , Fujita, J. , Mano, S. , Morita, H. , Dohi, T. , Oota, H. , & Hattori, M. (2014). Dysbiosis of salivary microbiota in inflammatory bowel disease and its association with oral immunological biomarkers. DNA Research, 21, 15–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Schmidt, J. , Weigert, M. , Leuschner, C. , Hartmann, H. , Raddatz, D. , Haak, R. , Mausberg, R. F. , Kottmann, T. , Schmalz, G. , & Ziebolz, D. (2018). Active matrix metalloproteinase‐8 and periodontal bacteria‐interlink between periodontitis and inflammatory bowel disease. Journal of Periodontology, 89, 699–707. [DOI] [PubMed] [Google Scholar]
  45. She, Y. Y. , Kong, X. B. , Ge, Y. P. , Liu, Z. Y. , Chen, J. Y. , Jiang, J. W. , Jiang, H. B. , & Fang, S. L. (2020). Periodontitis and inflammatory bowel disease: A meta‐analysis. BMC Oral Health, 20, 67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Similä, T. , Nieminen, P. , & Virtanen, J. I. (2018). Validity of self‐reported number of teeth in middle‐aged Finnish adults: The Northern Finland Birth Cohort Study 1966. BMC Oral Health, 18, 210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Slebioda, Z. , Szponar, E. , & Kowalska, A. (2014). Etiopathogenesis of recurrent aphthous stomatitis and the role of immunologic aspects: Literature review. Archivum Immunologiae et Therapiae Experimentalis (Warsz), 62, 205–215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Stein, J. M. , Lammert, F. , Zimmer, V. , Granzow, M. , Reichert, S. , Schulz, S. , Ocklenburg, C. , & Conrads, G. (2010). Clinical periodontal and microbiologic parameters in patients with Crohn's disease with consideration of the CARD15 genotype. Journal of Periodontology, 81, 535–545. [DOI] [PubMed] [Google Scholar]
  49. Tan, C. X. W. , Brand, H. S. , Kalender, B. , De Boer, N. K. H. , Forouzanfar, T. , & de Visscher, J. G. A. M. (2021). Dental and periodontal disease in patients with inflammatory bowel disease. Clinical Oral Investigations, 25, 5273–5280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. The Economist Intelligence Unit . (2021). Time to take gum disease seriously ‐ The societal and economic impact of periodontitis. The Economist Group. [Google Scholar]
  51. Tsuzuno, T. , Takahashi, N. , Yamada‐Hara, M. , Yokoji‐Takeuchi, M. , Sulijaya, B. , Aoki‐Nonaka, Y. , Matsugishi, A. , Katakura, K. , Tabeta, K. , & Yamazaki, K. (2021). Ingestion of Porphyromonas gingivalis exacerbates colitis via intestinal epithelial barrier disruption in mice. Journal of Periodontal Research, 56, 275–288. [DOI] [PubMed] [Google Scholar]
  52. Ueno, M. , Shimazu, T. , Sawada, N. , Tsugane, S. , & Kawaguchi, Y. (2018). Validity of self‐reported tooth counts and masticatory status study of a Japanese adult population. Journal of Oral Rehabilitation, 45, 393–398. [DOI] [PubMed] [Google Scholar]
  53. Van Dyke, T. E. , Dowell, V. R. , Offenbacher, S. , Snyder, W. , & Hersh, T. (1986). Potential role of microorganisms isolated from periodontal lesions in the pathogenesis of inflammatory bowel disease. Infection and Immunity, 53, 671–677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Vavricka, S. R. , Manser, C. N. , Hediger, S. , Vögelin, M. , Scharl, M. , Biedermann, L. , Rogler, S. , Seibold, F. , Sanderink, R. , Attin, T. , Schoepfer, A. , Fried, M. , Rogler, G. , & Frei, P. (2013). Periodontitis and gingivitis in inflammatory bowel disease: A case‐control study. Inflammatory Bowel Diseases, 19, 2768–2777. [DOI] [PubMed] [Google Scholar]
  55. Xun, Z. , Zhang, Q. , Xu, T. , Chen, N. , & Chen, F. (2018). Dysbiosis and ecotypes of the salivary microbiome associated with inflammatory bowel diseases and the assistance in diagnosis of diseases using oral bacterial profiles. Frontiers in Microbiology, 9, 1136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Zhang, L. , Gao, X. , Zhou, J. , Chen, S. , Zhang, J. , Zhang, Y. , Chen, B. , & Yang, J. (2020). Increased risks of dental caries and periodontal disease in Chinese patients with inflammatory bowel disease. International Dental Journal, 70, 227–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Zhang, Y. , Qiao, D. , Chen, R. , Zhu, F. , Gong, J. , & Yan, F. (2021). The association between periodontitis and inflammatory bowel disease: A systematic review and meta‐analysis. BioMed Research International, 2021, 6692420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Zhao, M. , Gönczi, L. , Lakatos, P. L. , & Burisch, J. (2021). The burden of inflammatory bowel disease in Europe in 2020. Journal of Crohn's & Colitis, 15, 1573–1587. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data S1. Self‐reported general characteristics of the patients with ulcerative colitis (including unclassified inflammatory bowel disease) (n = 566) and Crohn's disease (n = 527).

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


Articles from Journal of Clinical Periodontology are provided here courtesy of Wiley

RESOURCES