
Food impaction is a challenging problem in implant dentistry because it causes discomfort, caries in adjacent natural teeth, and periodontal problems1-3. In natural teeth, food impaction is related to the contour of the marginal ridge, integrity of the interproximal contact, type of occlusion, and contours of the lingual and buccal surfaces4-7. Food impaction in implant restorations might be influenced by similar factors8. However, a crucial distinction between natural teeth and implants is that natural teeth are subject to mesial drift, which leads to space loss and crowding, whereas implants maintain a fixed position within the jawbone9-12. Previous studies have shown that 28.6%-64.3% of food impaction cases occur between natural teeth with loose or open adjacent contacts, whereas 94.2% of cases between implant prostheses and natural teeth had loose or open contacts1,5,8. This indicates that the interproximal contact of implants might be more susceptible to food impaction than that of natural teeth. Consequently, meticulous attention must be paid to proximal contact loss (PCL) between implant prostheses and adjacent natural teeth.
Several studies have shown that PCL increases over time3,13,14 and have investigated the potential involvement of several factors in the formation of PCL between implant prostheses and the adjacent natural teeth: age2,3,15,16, sex16,17, presence of splinting in implant prostheses3, maxillary or mandibular location14,16-18, type of prosthesis2,16, opposing dentition3, and bone loss in the adjacent natural teeth14. Nevertheless, there is no consensus about the etiology of PCL between fixed implant prostheses and adjacent natural teeth.
Identifying the underlying cause of PCL intraorally can be challenging. Consequently, a cast model analysis, which compares the model cast at the time of implant restoration with the intraoral situation following PCL, is an essential tool. Analyses of occlusal forces and occlusal patterns can also help to deduce the cause of PCL.
Our aim in this study was to investigate the causal factors of PCL between an implant prosthesis and the adjacent natural teeth by using a cast model analysis.
This study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (No. B-1501-284-108) and was conducted in accordance with the Declaration of Helsinki and the International Conference on Harmonization Guidelines for Good Clinical Practice. Written informed consent was waived because this study is retrospective.
This study analyzed data from patients who received fixed partial implant prostheses at the Department of Prosthodontics, Section of Dentistry of Seoul National University Bundang Hospital between January 2006 and December 2014.
The inclusion criteria were as follows: (1) Patients who received fixed partial implant prostheses in the premolar or molar region. (2) Patients whose working cast models were preserved at the time of implant prosthesis fabrication. (3) Patients with two or more adjacent natural teeth present on the mesial side of the implant prosthesis. (4) Patients who received regular clinical examinations at least once a year.
The exclusion criteria were as follows: (1) Patients with a removable prosthesis in the opposing dentition. (2) Patients for whom an occlusion analysis was not possible due to multiple prosthetic treatments. (3) Patients with follow-up periods of less than 12 months.
Electronic medical records were examined to collect each patient’s age, sex, time of restoration, follow-up period, and implant site and jaw position. Each patient with an implant restoration was routinely examined for PCL by a single prosthodontist during every follow-up appointment. The prosthodontist examined interdental spaces with wax-coated dental floss (Oral-B Essential Floss; Procter & Gamble) and recorded them. To assess PCL, the resistance level of the dental floss during insertion and removal was recorded as tight, reduced, or loss of resistance. Reduced resistance and loss of resistance were considered to indicate PCL between the implant restorations and the adjacent natural teeth.
Occlusal patterns were classified according to the positional relationship of the maxillary and mandibular first molar teeth using Angle’s classification. The presence of a pre-existing gap between the natural teeth on the mesial side adjacent to the implant prosthesis was investigated. Patients with three or more gaps within the same dental arch were classified as having a generalized gap in the dental arch, and patients with an overbite of 4 mm or more in the anterior teeth were classified as having an anterior deep bite. This investigation was conducted to determine whether mandibular anterior crowding occurs when the implant is positioned in the mandible.
Among the patients who met the inclusion criteria, multiple implant prostheses placed in different locations (e.g. maxillary/mandibular, left/right) were treated as independent cases. There was a minimum of one case and a maximum of four cases per patient. The correlation between PCL incidence and the analyzed factors (sex, implant site, jaw position, Angle’s classification, gap between adjacent teeth, generalized tooth gap in the dental arch, anterior deep bite, and mandibular anterior tooth crowding) was analyzed using the chi-square test and logistic regression test. A multivariate generalized estimating equation (GEE) was used to consider within-individual effects. Each analysis was conducted with the significance level set at
Out of 653 implants, 293 implants from 240 patients who met the predefined inclusion criteria were analyzed. The characteristics of the patients included in this study are summarized in Table 1.
Of the 293 implant sites examined, 90 (30.7%) developed PCL between the implant and the proximal tooth. The timing of PCL development varied from 5.0 to 51.0 months after implant placement. The Kaplan–Meier analysis of PCL incidence revealed a gradual increase over time, with half of PCL cases occurring by 19.2 months.(Fig. 1)
Table 2 shows the results of chi-square testing of the observed factors. A pre-existing interproximal gap between adjacent teeth (
The outcomes were similar when a multivariate GEE was used to correct for within-individual effects.(Table 4) Those results show no correlation between the incidence of PCL and sex, implant site, jaw position, anterior deep bite, Angle’s classification, mandibular anterior crowding, or the presence of an overall gap in the corresponding arch. However, a significant correlation was observed between a pre-existing interproximal gap between the adjacent natural teeth and the incidence of PCL (
The Kaplan–Meier analysis revealed differences in the presence and absence of pre-existing interproximal gaps between the adjacent natural teeth, a factor that was shown to be significantly associated with the development of PCL in the previous statistical analyses. The time to 50% PCL was shorter when pre-existing interproximal gaps were present between the natural teeth adjacent to the implant prostheses.(Fig. 2)
The incidence of PCL between implant prostheses and the adjacent natural teeth observed in this study was 30.7%. A recent meta-analysis on the formation of PCL for implant prostheses revealed a prevalence of 29%19, which is similar to our results. The prevalence of PCL in this study is also similar to previous studies that reported it to be 29%-34%13,18,19 and lower than that reported in other studies (43%-65%)2,3,14,20 when studies with less than 1 year of observation were excluded. This difference might be because of the relatively short observation intervals in this study and the fact that the implant maintained the same occlusal contact as the adjacent natural teeth to avoid concentrating forces on the natural teeth. It might also be attributed to the varied methods used to measure PCL across the different studies. Previous studies used a Tofflemire matrix band (38 µm), wax-coated dental floss, and a 50-µm metal strip or contact gauge2,3,13,21. The literature on quantitative measurements of the gap size between implant restorations and adjacent natural teeth is limited15,16.
This study was designed to consider factors that had been studied in previous research, as well as factors related to the movement of natural teeth adjacent to the implant. Considering the mesial shift of natural teeth as a potential causative factor of PCL, this study was conducted from two perspectives. One area of investigation concerned the relationship between the occlusal force and occlusal pattern, and the other focused on the role of the interdental space in PCL development.
Previous research has shown that mesial drift of natural teeth occurs because of the anterior component of occlusal force and mesial tilting of natural teeth15,22,23. This study used each patient’s cast model to analyze Angle’s classification, anterior deep bite, and mandibular anterior crowding, which are factors related to occlusal force or occlusion pattern, as potential causative factors of PCL.
A higher incidence of PCL has been reported when the occlusal force is concentrated in the intercanine region21. In cases of Angle’s class II malocclusion, the posterior teeth play a major role during mastication, leading to a lower intercanine occlusal force than in other classifications22. Therefore, it was inferred that the incidence of PCL in Angle’s class II malocclusion might be lower, and it was incorporated as a potential causal factor in this study. However, no significant correlation was found between different occlusion types, such as Angle’s classification or anterior deep bite, and the incidence of PCL. When analyzing the occlusal force in skeletal patterns, some studies revealed that differences in occlusal forces were caused not by the horizontal pattern of the skeleton but by vertical skeletal factors, such as a lower mandibular angle or higher posterior facial length/anterior facial length ratio23,24. Because Angle’s classification is based on a horizontal skeletal pattern, it might not relate to occlusal forces, which might thus be related to PCL incidence. Further research should analyze occlusal forces in a larger number of cases with different classes of Angle’s classification.
In clinical practice, the position of interdental spaces has been observed to change over time, differing from the cast model made for implant prostheses. Based on this observation, this study investigated the potential causal factors of PCL, including pre-existing spaces, such as the gap in natural teeth adjacent to the implant prosthesis and the generalized tooth gap in the dental arch. According to our statistical analysis, the odds of developing PCL between an implant prosthesis and proximal natural teeth were approximately three times higher (2.684 times in the logistic regression, 3.255 times in the GEE) in patients with a pre-existing interproximal gap between the adjacent natural teeth than in those without such a gap. These findings underscore the clinical necessity for heightened vigilance and care when dealing with patients who have pre-existing gaps between the adjacent natural teeth.
Factors associated with PCL that have been investigated in previous studies were also examined in the present study. No significant difference has been reported in the incidence of PCL according to sex16,17, which is consistent with our results. Additionally, some studies have shown no relationship with the implant site16,17,21, which is also consistent with our results. Some of those studies included the anterior teeth17,21, whereas others included only premolars and molars, as in the present study16. Thus, the movement of adjacent natural teeth might not strongly correlate with their position.
The relationship between jaw position and PCL incidence has been the subject of much debate. Some studies have reported a higher incidence of PCL in the mandible3,16,17, whereas others have reported a higher incidence in the maxilla14. Another study found no significant correlation between jaw position and PCL incidence, which aligns with the findings of this study18. Bone density might play a role in tooth movement, and it was expected that the maxilla, which has a relatively lower bone density, would have greater natural tooth movement and therefore a higher risk of PCL14. However, the results did not reveal a significant difference, perhaps due to the involvement of factors other than bone density, such as occlusal force, in the movement of natural teeth.
In this study, the incidence of PCL in cases of implant prostheses gradually increased over time, with a median time to the incidence of PCL of 19.2 months. This timescale is shorter than that reported in previous studies, which indicated that half of the prostheses showed PCL within a period of 3-9 years3,13,14. Such discrepancies can be explained by differences in methodology or the recall intervals used in the various studies14.
The Kaplan–Meier analysis of the presence or absence of a pre-existing interproximal gap between the natural teeth adjacent to the implant prosthesis, a factor that has been demonstrated to be significantly associated with the development of PCL in statistical analyses, showed that 50% of PCL development occurs earlier in patients with a pre-existing interproximal gap between the adjacent teeth than in those without one. Overall, it can be reasonably assumed that the incidence of PCL in implant restorations is higher and more likely to occur at an earlier time in patients with a gap between the adjacent natural teeth.
To ascertain potential causal factors, a chi-square test was initially used. Based on the findings of that preliminary analysis, a multivariate logistic regression analysis was conducted to further evaluate the respective risks. In both analyses, causal factors were prioritized, patient-specific factors were excluded, and each case was treated independently. Therefore, this study also ran a multivariate GEE analysis to account for patient-specific factors. Our objective in using that method was to investigate the correlation between the potential risk factors and the incidence of PCL while simultaneously adjusting for individual effects within each case. When multiple cases are reported in the same patient, case-based analyses ignore the dependency within a patient, which potentially violates the principle of statistical independence and could bias the results25,26. Therefore, a statistical analysis method that considers the possibility of data dependence within a patient is needed26-28. In dental research, many bilateral or quadrilateral cases have been reported in the same patient, as observed in this study. Therefore, careful consideration is crucial when selecting an analysis unit that adequately accounts for intrasubject correlation. The GEE is known to improve statistical power and facilitate the interpretation of site-specific results29,30. The reason for not using the GEE analysis exclusively in this study was mainly that most participants were single cases, and even among those with multiple cases, no consistent trend was observed in their positions. Therefore, analyses using only this method would have limitations. We thus used various analysis methods and compared and interpreted the results together.
In clinical situations, the following factors should be considered. In the short term, food impaction after the placement of fixed implant–supported prostheses can be attributed to errors in the laboratory process or adjustment of the prosthesis. Therefore, the proximal surfaces of the adjacent teeth must be considered before making an impression, including the removal of calculus and plaque, as well as controlling the path of insertion. The medium-term incidence of food impaction can be addressed by ensuring closer proximal contact in implant prostheses, which will require preparing for anticipated changes in the proximal surface contact when a pre-existing interproximal gap is present between the adjacent natural teeth. In the long term, PCL can develop because of factors such as the anterior movement of the proximal teeth; therefore, implant prostheses must have retrievability to repair the proximal surface when such issues develop.
This study has several limitations, such as the limited number of patients classified with Class II and Class III malocclusion and the choice not to consider the growth of the jaw. Moreover studies examining the relationship between PCL and occlusal schemes such as canine guidance and group function seem to be necessary. A prospective study incorporating a longer observation period and a larger participant cohort should be conducted to yield more comprehensive results.
The incidence of PCL between an implanted prosthesis and the adjacent tooth was 30.7%, with a median time to the occurrence of PCL of 19.2 months. Within the limitations of this retrospective study, the presence of a pre-existing interproximal gap between consecutive natural teeth adjacent to the implant restoration was associated with a high incidence of PCL between an implant prosthesis and the adjacent natural teeth and an earlier onset of its occurrence.
Y.J.Y. participated in the study design. J.H.K. participated in writing the manuscript and data collection and performed the statistical analysis. All authors helped to draft the manuscript. All authors read and approved the final manuscript.
This study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (No. B-1501-284-108) and was conducted in accordance with the Declaration of Helsinki and the International Conference on Harmonization Guidelines for Good Clinical Practice. Written informed consent was waived because the study is retrospective.
No potential conflict of interest relevant to this article is reported.
Baseline characteristics of the participants
Characteristic | Value | Mean±SD |
---|---|---|
Age, yr | 25-84 | 60.38±11.14 |
Sex | ||
Male | 119 (49.58) | |
Female | 121 (50.41) | |
Mean follow-up period, mo | 12.00-105.36 | 29.10±13.95 |
Implant site | 293 |
(SD: standard deviation)
Values are presented as number only, number (%), or range.
Correlation between the variables and proximal contact loss in the chi-square test
Total implant site | No. of contact losses | ||
---|---|---|---|
Sex | |||
Male | 153 | 44 (28.8) | 0.447 |
Female | 140 | 46 (32.9) | |
Implant site | |||
Premolar | 100 | 28 (28.0) | 0.468 |
Molar | 193 | 62 (32.1) | |
Jaw position | |||
Maxilla | 147 | 43 (29.3) | 0.585 |
Mandible | 146 | 47 (32.2) | |
Angle’s classification | |||
Class I | 248 | 78 (31.5) | 0.521 |
Class II division 1 | 8 | 1 (12.5) | |
Class II division 2 | 18 | 4 (22.2) | |
Class III | 19 | 7 (36.8) | |
Gap between adjacent natural teeth | |||
No | 257 | 71 (27.6) | 0.002* |
Yes | 36 | 19 (52.8) | |
Generalized tooth gap in dental arch | |||
No | 240 | 67 (27.9) | 0.027* |
Yes | 53 | 23 (43.3) | |
Anterior deep bite | |||
No | 257 | 82 (31.9) | 0.238 |
Yes | 36 | 8 (22.2) | |
Mandibular anterior crowding | |||
No | 76 | 28 (36.8) | 0.221 |
Yes | 70 | 19 (27.1) |
*
Values are presented as number only, or number (%).
The chi-square test does not compute odds ratios.
Correlation between the variables and proximal contact loss in the logistic regression analysis
Odds ratio | ||
---|---|---|
Gap between adjacent natural teeth | 2.684 | 0.007* |
Generalized tooth gap in the dental arch | 1.768 | 0.075 |
*
Correlation between the variables and proximal contact loss in the multivariate generalized estimating equation analysis
Odds ratio | 95% Confidence interval | |||
---|---|---|---|---|
Min | Max | |||
Sex (male/female) | 1.366 | 0.801 | 2.329 | 0.252 |
Implant (premolar/molar) | 1.205 | 0.717 | 2.024 | 0.482 |
Gap between adjacent natural teeth | 3.255 | 1.511 | 7.011 | 0.003* |
Generalized tooth gap in the dental arch | 1.774 | 0.949 | 3.316 | 0.072 |
Deep bite | 0.754 | 0.264 | 2.158 | 0.599 |
Mandibular anterior crowding | 1.566 | 0.763 | 3.213 | 0.222 |
*