Is the presence of keratinized mucosa associated with periimplant tissue health? A clinical cross-sectional analysis
- Catharina Ladwein,
- Rainer Schmelzeisen,
- Katja Nelson,
- Tabea Viktoria Fluegge and
- Tobias Fretwurst
Received: 23 December 2014
Accepted: 2 March 2015
Published: 29 April 2015
Long-term data concerning the impact of missing keratinized mucosa (KM) on periimplant tissue health are rare. The importance of KM for implant success remains unclear.
Two hundred eleven patients with 967 dental implants were analyzed up to 15 years after implant placement. Implants were divided into two groups: no keratinized mucosa (NKM) and KM. Evaluated parameters were plaque index (mAPI), bleeding index (mSBI), bleeding on probing (BOP), probing depth (PD), width of KM, and radiographic vertical bone level. مقالات دندانپزشکی رایگان با متن کامل مقاله فقط در سایت تخصصی ستاتیرا
mAPI, mSBI, and BOP were significantly higher for the NKM group. Implants of both groups showed no significant difference in PD and vertical bone level. Of the implants in the posterior regions (n = 261), 40.3% (regions 37 to 34, 44 to 47, 27 to 24, 17 to 14) showed NKM, whereas 30.4% of the implants in the anterior regions (regions 13 to 23; regions 33 to 43) presented NKM (n = 97). مقالات دندانپزشکی رایگان با متن کامل مقاله فقط در سایت تخصصی ستاتیرا
Results indicate that the presence of KM has a positive effect on periimplant tissue health, but does not seem to have an influence on the periimplant bone level.
Various factors influence the long-term success of dental implants are bone quality and quantity, oral hygiene, medical conditions, mechanical factors such as the surgical procedure, and the subsequent prosthetic treatment [1–6]. The importance of keratinized mucosa (KM) surrounding the implant as a barrier against microorganisms and subgingival plaque as a factor for long-term success is discussed [7,8]. KM includes the gingival margin and the mucogingival junction . A width of ≥2 mm of masticatory mucosa with ≥1 mm of attached gingiva has been proposed as adequate for gingival health . Periimplant soft tissue differs from periodontal tissue [11–14]. The mucosa adjacent to the implant has been described to consist a marginal layer of junctional epithelium with a height (length) of 2 mm and a more apical zone of connective tissue with a height (length) of about 1.5 mm [11,15]. Periimplant mucosa is akin to scar tissue, and its fibers are orientated parallel to the implant surface [12,16]. Animal and human studies showed that the early soft tissue response to plaque is similar around teeth and implants, although periimplant tissue is supposed to be less resistant [17–22].
Hitherto the influence of KM on periimplant health remains to be discussed controversial [8,23,24]. One clinical study investigating implants failed to show the influence of the existence of KM on periimplant soft tissue health . Current studies with moderate examination periods up to 5 years reported that higher plaque accumulation and gingival inflammation were associated with the absence of KM [25,26]. This statement is supported by several systematic reviews [27–29]. Dental implants with less than 2 mm of KM seem to be more prone to recession and alveolar bone loss, measured between the crestal bone level and a reference point on the implant surface [26,30]. To determine the clinical periimplant status, defined parameters are available: implant mobility, radiographic bone level, probing depth (PD), plaque and gingival indices, bleeding on probing (BOP), and width of the KM [7,30].
The aim of the present study was to evaluate the relationship between the existence of KM and periimplant health regarding a larger collective in the long-term.
This clinical cross-sectional study was conceived in accordance with the Helsinki Declaration of 1964, as revised in 2013. The study has been approved by the local ethical committee (University Medical Center Freiburg, no. 326_09).
Between February 1995 and December 2005, patients of the Clinic of Oral and Maxillofacial Surgery (Freiburg, Germany) who received endosseous dental implants (Tissue Level Standard Plus/Standard) of the Straumann-Dental Implant System (Straumann AG, Basel, Switzerland) were included in this monocentric clinical study. With the database PROMetheus Version III (KRZ, University medical center Freiburg), 620 patients with 2,667 dental implants were identified. Only those patients were evaluated who were available for follow-up investigation in 2009 to 2010. An evaluation of the incidence and reason for ‘lost of follow-up’ were not performed.
Exclusion criteria were diabetes, diseases of bone metabolism like osteoporosis, plasmozytoma, and osseous metastases, further malignant diseases in the head and neck region, bisphosphonat-, chemo-, or radiotherapy in the anamnesis, immunosuppressive diseases/therapies, pregnancy, and patient’s age <18 years.
Clinical parameters and measurements
Patients and implant-related parameters including gender, age at implant insertion, time of implant insertion, region of insertion, implant length, and implant diameter were assessed. The clinical examination was performed three times, with independent time points by a single examiner. Please refer to Tables 1, 2, and 3 for the description of the evaluated parameters. مقالات دندانپزشکی رایگان با متن کامل مقاله فقط در سایت تخصصی ستاتیرا
Evaluated implant parameters
Radiographic bone level (vertical bone defect)
PD in millimeters at four sites of the implant 
Presence or absence of BOP
Implant mobility for single-tooth restorations 
Assessment of plaque accumulation by the mAPI
Assessment of plaque accumulation
No detection of plaque
Plaque recognized by running a probe across the smooth marginal surface of the implant
Plaque can be seen by the naked eye
Abundance of soft matter
Assessment of bleeding tendency by the mSBI
Assessment of bleeding tendency
No bleeding when a periodontal probe is passed along the gingival margin adjacent to the implant
Isolated bleeding spots visible
Blood forms a confluent red line on margin
Heavy or profuse bleeding
Measurements were performed manually using a plastic periodontal probe (Plast-o-Probe®, Dentsply, York, PA, USA). All clinically measured distances were rounded to the nearest millimeter. Panoramic radiographs were used to assess the radiographic vertical bone level [31,32]. To account for dimensional distortions, the length of each implant was measured and correlated to the actual implant length. The vertical distance of the rough/smooth border of the implant to the first implant-bone contact was measured at the mesial and distal of each implant to define vertical bone level. The smooth-rough border is located either 2.8 mm (Tissue Level Standard) or 1.8 mm (Tissue Level Standard Plus) from the implant shoulder; this was regarded when radiologic measurements were performed. All examinations were performed on digital radiographs with a virtual measurement tool (SIDEXIS neXt Generation 2.4©, Sirona Dental Systems GmbH, Bensheim, Germany). Standardized radiographic examinations (orthopantomograms) were performed immediately after implant placement, before implant uncovery, in the first year every 6 months, and thereafter annually. The radiological analysis was performed by a single examiner (CL).
Case definition (Healthy, Mucositis, Periimplantitis) was performed according to the criteria of the seventh and eighth Workshop of the European Federation of Periodontology: ‘In absence of previous radiographic records, a threshold vertical distance of 2 mm from the expected marginal bone level following remodeling post-implant placement is recommended, provided peri-implant inflammation is evident’ . If several implants were placed in a single patient, these were considered as individual implants, independent of each other.
Implants were divided into two groups: no keratinized mucosa (NKM) = 0 mm of keratinized mucosa and KM > 0 mm of keratinized mucosa. All quantitative parameters are shown as mean ± standard deviation. Statistical analyses were performed with Mann-Whitney U test and the chi-squared test using the software program SPSS 18.0 (PASW® Statistics, SPSS Inc., IBM Company, Chicago, IL, USA). A p value < 0.05 was considered significant.
Two hundred eleven patients (97 = male, 114 = female) with 967 dental implants were available for follow-up examination. The mean observation period was 7.78 years ± 1.92 (4 to 15 years); the mean age at implant insertion was 54.63 years ± 13.58 (maximum 78 years). مقالات دندانپزشکی رایگان با متن کامل مقاله فقط در سایت تخصصی ستاتیرا
Two hundred seventy-five implants were placed in the posterior regions of the lower jaw (34 to 37, 44 to 47), and 143 implants were placed in the anterior region of the lower jaw (33 to 43). In the maxilla, 373 implants were placed in the posterior regions (14 to 17, 24 to 27) and 176 implants were inserted in regions 13 to 23. Three hundred fifty-eight implants (37.02 %) did show NKM and 609 implants (62.98 %) showed KM. Of the implants in the posterior regions, 40.3% (n = 261) did not present KM, whereas 59.7% (n = 387) of posterior implants had KM (see Table 4). In the anterior regions, 30.4% (n = 97) of the implants were classified NKM and 59.7% (n = 222) were classified KM. مقالات دندانپزشکی رایگان با متن کامل مقاله فقط در سایت تخصصی ستاتیرا
Distribution of presence of keratinized/non-keratinized gingiva with regard to the region
Number of implants
Posterior region maxilla
Anterior region maxilla
Posterior region mandible
Anterior region mandible
The mean width of KM was 1.87 ± 1.82 mm. Considering plaque index (mAPI), bleeding index (mSBI), and BOP implants with NKM showed significantly more plaque accumulation and bleeding than implants with KM (see Table 5). PD and vertical bone defect were not significantly different between both groups (PD mesial 3.78 ± 1.57 mm (NKM) vs. 3.61 ± 1.48 mm (KM), p = 0.28) (see Table 6).
Results for mAPI, mSBI, and BOP for implants with either keratinized mucosa or no keratinized mucosa
PD and bone level for implants regarding the soft tissue condition
3.3 ± 1.4
3.5 ± 1.5
2.9 ± 1.3
2.9 ± 1.3
3.8 ± 1.6
3.6 ± 1.5
Vertical bone defect distal
0.8 ± 1.4
0.7 ± 1.2
Vertical bone defect mesial
0.9 ± 1.2
0.8 ± 1.3
Multiple investigators discussed the necessity of KM around dental implants . But still, there is a lack of evidence whether KM has an impact on periimplant tissue health and periimplant bone level, respectively [27,29]. The main reason for this limitation is the heterogeneity in study designs and data extraction; consecutively, there is a lack of a synoptic statistical analysis . The present study examined the aforementioned issue in a large collective in the long-term. According to a recent review comparing 19 relevant publications out of 217 articles, only 1 study has a comparable, slightly larger, collective with a similar observation period (>10 years) [34,35]. Roos-Jansaker et al. demonstrated with a univariate and multivariate analyses that the presence of KM is associated with a mucositis .
The influence of KM on oral plaque accumulation and hygiene measures is discussed controversially in literature. In the present study, patients with NKM show significantly more plaque accumulation than patients with KM. Human studies with substantially smaller cohorts confirm these results and reported even higher plaque scores at implant sites in the absence of KM [7,25,26,30,36,37] On the other hand, several longitudinal studies revealed no significant association between higher plaque scores and KM level [11,23,38,39].
A similar ambivalence exists for the bleeding after probing parameter in literature . The present study shows significantly higher values of BOP and mSBI in the absence of KM. KM is supposed to be a physical barrier, and the absence of it seems to provide easier apical migration of inflammation [28,30]. KM has been assumed to prevent mechanical damage evoked by toothbrushing and/or masticatory forces [20,39].
In this study, only one implant type (Straumann, Tissue Level) with a polished neck was examined. Therefore, the acquired data may not represent different implant designs and emergence profiles. Some authors established studies with a range of different implant surfaces like sandblasted with large grit and acid-etched surfaces or anodized surfaces. Other authors give no description of the implant surface conditions [7,39]. The implant type and material may influence the periimplant parameters especially the bone level. It is discussed whether machined surfaces are more favorable for periimplant soft tissue parameters . But different implant surface conditions may alter the effect on KM [28,40]. To identify influencing factors like implant surface or occlusal overload, longitudinal prospective studies with a standardized protocol are needed.
In the present study, the mean width of KM was 1.87 ± 1.82 mm. Thus, our results suggest that even smaller amounts of KM may be sufficient for periimplant health, in contrast to the values claimed by other authors [7,10]. According to our state of knowledge, no data exist on the amount of KM remaining after the removal of a tooth with consideration of the anatomical region. Our data reveal no difference in the amount of KM in certain anatomical regions of the maxilla and mandible.
There was no significant difference in PD and vertical bone defect between both groups. A 4-year prospective longitudinal study confirms these results and showed no significant difference in the proximal periimplant bone level between implants with KM or NKM, respectively . Cross-sectional studies reported an impact of missing KM on the mean loss of alveolar bone around implants [30,39]. Large, randomized, and long-term multicenter studies with regard to the different implant surfaces and materials are necessary to investigate further association between the existence of KM and periimplant bone level.
The present findings indicate a correlation between periimplant soft tissue health and the presence of KM. Dental implants lacking KM showed significantly more plaque accumulation and BOP than implants with a zone of KM. The presence of KM did not have a significant influence on the vertical periimplant bone level.
The authors gratefully acknowledge Lioudmila Bogatyreva of the Institute for Medical Biometry and Medical Informatics of Albert-Ludwigs-University of Freiburg for her assistance with statistics.
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