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Fractures of the shoulder, the so-called proximal humeral fractures, can be treated with locking plates that have shown good results in clinical practice, but complications can occur. In order to further improve the treatment of proximal humerus fractures and decrease the rate of fixation failures, further research is necessary. As a first step, the reasons for potential implant failures need to be understood.
This study has been initiated by scientists at the AO Research Institute Davos (ARI), Switzerland, which is the research center of the AO Foundation (www.aofoundation.org), an international non-profit organization led by surgeons specialized in fractures such as these. Researchers at the ARI have been developing a computational simulation tool to predict fixation failure and demonstrated its efficiency in laboratory conditions. This clinical study has been organised to validate this tool using patient data, by comparing the risk of mechanical failure predicted by the computer simulated model with the clinically observed fixation failure. In future, this computer simulation tool is expected to help surgeons to select the best fixation for a given patient and to develop improved implants.
Older adult patients with complex, displaced and/or unstable proximal humerus fractures treated with the PHILOS plate (DePuy Synthes Inc.) will be recruited. Detailed patient background information will be assessed. Surgical details will be acquired. Pre-, intra- and post-OP imaging data will be collected in frame of the standard treatment protocol. A post-OP CT scan, which is performed only occasionally as standard of care, will be acquired for all patients participating in this study. The de-identified medical images will be transferred via secure file transfer protocol (FTP) to the sponsor. Patient activity will be recorded in the first 6 post-OP weeks by means of two wearable activity trackers attached on the skin of the treated upper arm and the chest. The tracker containing the encoded data will be shipped back to the sponsor.
According to the standard post-OP protocols, follow-up (FU) examinations will be performed at 6 weeks, 3 months and 6 months after treatment. Additionally, another FU visit will be required at 3 weeks after surgery, where the activity trackers will be exchanged. FU radiographs during the standard of care visits will be compared with post-OP radiographs to determine if any mechanical failure has occurred.
Mechanical failure or no failure status of the fixation will be determined at 6 months following fracture treatment.
The patient-specific fixation failure risk will be prospectively predicted by means of computer simulations created from the pre-OP and post-OP CT images and surgical details. The prediction accuracy of the simulations will be evaluated by comparing the predicted failure risk with the clinically observed failure / no failure outcome. As a second approach, patient-specific shoulder activity (estimated based on patient pre-injury activity or measured directly post-operatively) will be incorporated into the simulations sequentially and its effect on the prediction accuracy will be evaluated.
The interventions in this study, i.e. the examinations that are beyond the current standard of care, will be i) the extra acquisition of the post-OP CT image in the cases that the treating surgeon is not requesting them, ii) the questionnaires on comorbidities and pre-injury activity, and grip strength measurements to estimate activity of the patient and iii) the post-OP activity measurement by means of wearable sensors.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort of 50 enrolled patients | Other | The following visits will be performed: direct post-OP, 3 weeks, 6 weeks, 3 months and 6 months after surgery. Surgical details will be assessed from the surgical notes. Medical images will be collected according to the standard of care. A post-OP CT scan will also be acquired when the treating surgeon requests it as per standard of care, or additionally, as a study specific imaging procedure for the rest of the participants. Patient activity will be estimated based on various factors, including questionnaires on demographics, activity level, comorbidity score and contralateral grip strength. The actual post-OP shoulder activity will be measured by motion tracking by means of sensors attached to upper arm of the treated side and on the chest for 6 weeks and by grip strength assessed at the treated arm at week 6. Fixation failure status will be determined 6 months post-OP. Imaging and details regarding the fixation failure event will be sent to ARI. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Post-Operative (OP) Computer Tomography (CT) | Diagnostic Test | Post-OP CT of the treated shoulder |
|
| Measure | Description | Time Frame |
|---|---|---|
| Fixation failure risk estimated from the structural capacity (strength) of the fixation | Fixation failure risk estimated from the structural capacity (strength) of the fixation will be predicted by the patient-specific computer simulation based on the collected:
| 6 months post-op |
| Clinical occurrence of radiographically confirmed mechanical fixation failure | Clinical occurrence of radiographically confirmed mechanical fixation failure within 6 months after PHILOS plate treatment (failure / no failure status). Mechanical failures are defined as:
| 6 months post-op |
| Measure | Description | Time Frame |
|---|---|---|
| Fixation failure risk predicted by the simulation when activity information is included in the model | Fixation failure risk predicted by the simulation when activity information is included in the model, estimated based on categorization of the participants in low, average and high pre-injury activity level from the following questionnaires and assessments:
|
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Peter Varga, PhD | AO Research Institute Davos | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Medical University of Innsbruck | Innsbruck | Austria | ||||
| UZ Leuven |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29728330 | Background | Varga P, Inzana JA, Gueorguiev B, Sudkamp NP, Windolf M. Validated computational framework for efficient systematic evaluation of osteoporotic fracture fixation in the proximal humerus. Med Eng Phys. 2018 Jul;57:29-39. doi: 10.1016/j.medengphy.2018.04.011. Epub 2018 May 1. | |
| 28697401 | Background | Varga P, Grunwald L, Inzana JA, Windolf M. Fatigue failure of plated osteoporotic proximal humerus fractures is predicted by the strain around the proximal screws. J Mech Behav Biomed Mater. 2017 Nov;75:68-74. doi: 10.1016/j.jmbbm.2017.07.004. Epub 2017 Jul 4. |
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| Questionnaires on patient activity and comorbidities | Other |
|
|
| Grip strength measurement | Other | Grip strength will be measured using a CE marked hydraulic hand dynamometer device. |
|
| Non-invasive shoulder activity tracking usinig wearable sensors | Other | Post-OP activity will be assessed via wearable CE-marked accelerometer sensors. |
|
| 4 days post-op |
| Fixation failure risk predicted by the simulation when actual post-OP shoulder activity information is included in the model | Fixation failure risk predicted by the simulation when actual post-OP shoulder activity information is included in the model, based on the following data:
| 6 weeks post-op |
| Leuven |
| Belgium |
| ID | Term |
|---|---|
| D012784 | Shoulder Fractures |
| D050723 | Fractures, Bone |
| ID | Term |
|---|---|
| D014947 | Wounds and Injuries |
| D000070599 | Shoulder Injuries |
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| ID | Term |
|---|---|
| D015897 | Comorbidity |
| ID | Term |
|---|---|
| D015981 | Epidemiologic Factors |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |
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