Subjects
Patients older than 18 years displaying TMD and signs of bruxism who sought treatment at the Department of Prosthetic Dentistry, University Hospital, Ludwig Maximilian University of Munich, Germany were recruited. Recruitment and follow-up assessment took place from February 2016 to July 2018.
Inclusion criteria
-
(1)
Physical signs of bruxism visible on the dentition (grinding facets, abnormal tooth wear, or wedge-shaped lesions)
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(2)
Self-reported pain in the masticatory muscles or the temporomandibular joint (TMJ)
-
(3)
Willingness of the patient to participate in the study and a commitment to adhere to the pre-set timetable
-
(4)
Measured SB activity
Exclusion criteria
General medical criteria
-
(1)
Acute pain caused by other components of the masticatory system (e.g., caries, root inflammation)
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(2)
Prior or planned TMJ or dysgnathia surgery
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(3)
Jaw fractures
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(4)
Otorhinolaryngologic diseases (except tinnitus)
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(5)
Systemic basic illness with rheumatic origin (e.g., arthritis, arthrosis, gout, and psoriasis)
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(6)
Psychosomatic or psychiatric diseases
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(7)
Implanted electronic devices
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(8)
Arrhythmia and other (prior or present) cardiac problems
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(9)
Epilepsy
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(10)
Cerebrovascular and brain diseases
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(11)
Pregnancy including breastfeeding period
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(12)
Drug or alcohol abuse, analgesic, or sedative therapy, use of medication affecting the central nervous system (e.g., antidepressants, anxiolytics, and anticonvulsants)
-
(13)
Physical or mental disability
Criteria specific to the study
-
(14)
Maxillary hyperesthesia or allergy to materials used
-
(15)
Missing support zones in the posterior region
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(16)
Anatomical topography that made a full-coverage maxillary splint impossible to use
-
(17)
Anatomical topography that did not tolerate the increased vertical dimension of occlusion
-
(18)
Past history of received biofeedback therapy
-
(19)
Insufficient recorded bruxing activity in the baseline phase
The above inclusion and exclusion criteria were defined under medically and scientifically meaningful scrutiny and differ from those stated by the device’s manufacturer. The manufacturers’ criteria were handed to each study participant with the device’s manual. The study environment enabled a higher degree of medical supervision than would normally be available to patients. Thus, the sample for the study could be drawn from a slightly broader population. Tooth or jaw misalignments, which would have made it impossible to produce a functional splint, did not occur.
Following application of the exclusion criteria (see Fig. 1), a sample of 41 patients formed the trial population. Insufficient recorded SB activity, medication, and the absence of compatible computer hardware were the main reasons for exclusion. All participants were instructed in the use of the splints and asked to report any use of alcohol or medicines on their daily control sheets, as these can dampen the response to biofeedback stimuli.
Three subjects from the AOS group and three subjects from the BFB group did not complete the test as their biofeedback splints (in the case of the AOS group subjects, for measurement purposes) developed technical problems. Their data could be used up to and including phase E2 (see Table 1).
Randomization and blinding
Subjects meeting inclusion criteria were randomly allocated by selection of sealed opaque envelopes to either of two groups: a control group using a conventional occlusal splint (AOS group) and a test group using the biofeedback splint (BFB group). The recruiter had no information about the allocation pattern. As there were obvious physical differences between the control and test splints and it was unavoidable that the patient could easily identify whether the biofeedback splint was in applied (i.e., biofeedback mode), patient-side blinding was not possible.
Because of resource limitations, one member of the university staff (a qualified dentist) conducted the study and data appraisal. There was no therapist-side or analyst-side blinding.
Description of the devices
Maxillary splints were used for both the AOS and BFB groups. All devices were made by the same technician in a dental laboratory (Dentaltechnik Michael Seitz, Munich, Germany). As all splints were manufactured prior to randomization, a conventional and a biofeedback splint were produced for each subject; irrespective of the group, the subjects were finally allocated to. BFB splints (with the biofeedback switched off) were needed for the AOS group as well since they would be worn as a measuring tool (see the “Study design” section below). The Michigan splints produced for the BFB group were discarded unused. By manufacturing both splints for all subjects prior to randomization, we intended to remove any possible manufacturing bias and to ensure adherence to the predetermined timetable.
The BFB splint used in the study differs from the version the manufacturer sells today. The splint in this study had a silicone contact tube as sensor (Fig. 2). The commercial version uses a sensor that is approximately 0.75 mm thinner. From a technical point of view, the manufacturer has reduced the VDO extension of the BFB splint.
All AOS and BFB group splints had a flat plane with homogeneous occlusal contacts in centric relation, with anterior guidance for excursive moments.
Analog maxillary and mandibular impressions, interocclusal bite registration, and facial arch transfer/facebow records (Arcus; KaVo Dental, Biberach, Germany) were obtained under constant conditions by the same team of skilled professionals. Plaster casts were manufactured, analyzed, and mounted in a semiadjustable articulator (KaVo EWL; KaVo Dental).
The splint used by the AOS group was made of clear autopolymerizing dental acrylic resin (Orthocryl; Dentaurum, Ispringen, Germany) (Fig. 3).
The bruXane splint (bruXane, Marburg, Germany) used by the BFB group (Fig. 2) was made of two soft thermoformed full-coverage maxillary dental plates (bruXflex; Erkodent, Pfalzgrafenweiler, Germany). A pressure-sensitive sensor was integrated along the entire occlusal surface, with electronic components housed in the palatal area, including a rechargeable battery, a vibrating motor, and a microcontroller.
The microcontroller continuously monitored the resistance level in the sensor. Occlusal pressure on the sensor reduced the electrical resistance. When the resistance fell below a predetermined threshold level, the microcontroller classified this as the start of a bruxing event (burst) and simultaneously switched on the vibrating motor. Releasing the occlusal pressure reversed the process, which the microcontroller recognized as the end of the burst and stopped the vibrating. The minimum measurable burst duration was 100 ms; longer bursts were measured in 100-ms increments.
The threshold for triggering the microcontroller was calibrated and documented during production and was equivalent to 16.1 ± 5.1 kg (mean ± SD) across all subjects. At this level, normal activities, such as myoclonus, swallowing, or coughing, would not trigger a response.
Both splints were examined before being handed over to the patients as well as at each follow-up. The AOS splints were contoured before being issued to the patient, initially and at each follow-up if necessary. Adjustments to the BFB splints were not permitted, so as to avoid the risk of moisture entering the electronics. If any unevenness of the occlusal surface was discovered when fitting a splint for a patient, a new bite registration was taken and sent to the dental laboratory along with the splint for adjustment (if possible) or remake. No adjustments of the surface of the BFB splint occurred after data collection had started.
Other researchers have described a device using a similar activation/deactivation system and validated this approach against electromyograph (EMG) evidence [25].
Study design
The baseline situation was established as follows:
Bruxing (quantitative) data
Both groups wore the biofeedback splint in recording-only mode for approximately 2 weeks. A pilot trial showed that the first few nights would display abnormally low bruxing activity before a more regular pattern was re-established. As already stated by Klasser et al., insertion of an unfamiliar object in the mouth can interrupt the regular bruxing pattern [23]. Therefore, the first four nights´ baseline data were excluded from the analysis.
Symptoms (qualitative) data
The assessment consisted of a questionnaire survey and a clinical examination according to the research diagnostic criteria for temporomandibular disorders (RDC/TMD) Axis I and II. The treating dentist was trained in TMD diagnosis in accordance with the German version of the RDC/TMD manual [26, 27]. To evaluate a treatment effect, 4.5 months can be considered appropriate [28].
Table 1 summarizes the treatment and measurement phases.
Table 1 Timetable for the treatment and measurement phases
Data collection
Bruxing (quantitative) data
Pseudonymized data collection was continual, not just sampled, i.e., during each phase (measurement phases for the AOS group and measuring and treatment phases for the BFB group), every burst during every sleep period was recorded.
The data stored in the microcontroller was periodically transferred by the subject to a computer as a .csv file. This file was sent to the Ludwig Maximilian University of Munich and analyzed using proprietary software (bruXane, Marburg, Germany), which calculated the following outcome variables per subject and sleep period (i.e., per night) from the raw burst data:
Total duration per hour
The sum of the durations of each burst divided by the number of hours of the respective sleep period, reported in seconds. This is representative of bruxing activity.
Bursts per hour
The number of bursts divided by the number of hours of the respective sleep period.
Average duration
The sum of the durations of each burst divided by the number of bursts in the respective sleep period, reported in milliseconds.
Maximum duration
The duration of the longest individual burst in the respective sleep period, reported in milliseconds.
Figures 4 and 5 show data for the total duration per hour (TDPH) for a typical subject (where the subject mean change is equivalent to the group mean change) in the AOS and BFB groups, respectively.
Symptom (qualitative) data
Using questionnaires, the subjects evaluated various specific pain and functional symptoms on an NRS scale of 0 to 10 at three discrete points in time: immediately before testing, after 1 month of treatment, and after the second treatment phase of another 2 months. Additionally, subjects reported on their global pain perception before and after testing.
Clinical examination
Clinical examinations were undertaken at the time of the questionnaire surveys. RDC criteria and recommendations were met and the examination was conducted by the same skilled professional [26, 27].
Statistical analysis
All data were analyzed with SPSS Statistics 25 (SPSS, Stanford, CA, USA). The level of significance was set at p < 0.05. The Kolmogorov-Smirnov test was used to test the data for normal distribution. Descriptive statistics (means and SD) were calculated. If the assumption of normality was true, the Student t test was performed. If it was not, the Wilcoxon signed-rank and Mann-Whitney U tests were performed.
Non-parametric tests were used for the questionnaire data. Between groups, the analysis was based on the pre/post differences within each group. The primary concern was to analyze each subsequent phase against the respective baseline (phase T0 or E1, as appropriate).
IMMPACT recommendations
Cognizant of the recommendations of the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) [29], we assessed whether changes in the patients’ reported symptoms were clinically meaningful, defined as a change of greater than 30% in the pre/post mean values.