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The purpose of this study is to investigate the clinical implementation of a new percutaneous prosthetic attachment system by determining the resident microbial ecology of the implant exit site and to simultaneously study the systemic and local stomal immune responses. This study will follow 10 patients implanted with percutaneous osseointegrated prosthetics (POPs) for a period of one year. Two state-of-the-art, pre- and post-surgery bacterial monitoring technologies will be used; these procedures are intended to facilitate the early prediction, detection, and treatment of infection, as well as to provide follow-up data that can potentially be used to advantageously manipulate the stomal microbial environment in future clinical trials.
Commensal skin bacteria colonize all stomas. Colonization does not necessarily result in infection. Over time, the presence of this skin penetrating foreign object (implant) will cause measurable changes in the bacterial population (microbiota) at and around the POP exit site. It is anticipated that the evolving microbiota, in concert with measurable changes in the local and systemic cytokine responses, will reveal patterns associated with mutualistic-commensal bacteria and/or pathogenic bacteria related to the stages of chronic wound healing. These patterns could be used to determine the presence of a stable uninfected stoma or the progression of a stomal infection. Hopefully, this information will allow timely intervention to prevent infection, i.e. by detecting early stages of infection or discerning common patterns of stable mutualistic-commensal bacterial strains, effective intervention protocols (antibiotics, probiotics or manipulation of the stomal and skin microbiota) may be developed to avoid patient morbidity and assure implant survival.
Percutaneous osseointegrated prosthetic (POP) attachment (i.e., the direct skeletal attachment of artificial limbs) is a rapidly evolving technology. This follows over a decade of successful European trials that largely involved transfemoral amputees. This information together with the translational animal studies have made it possible to commence an Early Feasibility Device Exemption (IDE) Pilot Program under the direction of the Federal Drug Administration (FDA). Ten transfemoral amputees, selected from the Veteran and active military populations will receive a novel POP device. The objective of this study is to follow 10 patients implanted with a POP for a period of one year.
All stomas are colonized by local skin bacteria; colonization does not necessarily result in infection. Over time, the presence of this skin penetrating foreign object (implant) will cause measurable changes in the bacterial population (microbiota) at and around the POP exit site.
It is anticipated that the evolving microbiota, in concert with measurable changes in the local and systemic cytokine responses, will reveal patterns associated with mutualistic-commensal bacteria and/or pathogenic bacteria related to the stages of chronic wound healing. These patterns could be used to determine the presence of a stable uninfected stoma or the progression of a stomal infection. Hopefully, this information will allow timely intervention to prevent infection, i.e. by detecting early stages of infection or discerning common patterns of stable mutualistic-commensal bacterial strains, effective intervention protocols (antibiotics, probiotics or manipulation of the stomal and skin microbiota) may be developed to avoid patient morbidity and assure implant survival.
The study aims will test the following:
Aim 1: Determine and characterize the microbiota in the region surrounding the skin/implant interface. Sampling will take place over all stages of wound healing and stomal maturation and will begin with Stage 1 and Stage 2 surgeries, as well as at defined time points, and collection sites (i.e., the stoma, ipsilateral and contralateral thigh skin) for up to one year post surgery. This will be carried-out by using a specific swabbing technique to collect bacterial and fungal deoxyribonucleic acid (DNA) and to amplify and sequence bacterial 16 Svedberg units ribosomal ribonucleic acid (16S rRNA) and fungal 18 Svedberg units ribosomal ribonucleic acid (18S rRNA) genes.
AIM 2: Compare the expression patterns of the local and systemic inflammatory biomarkers over time and determine if there is a correlation with the microbiota pattern to diagnose the state of wound healing at the skin/implant interface and the systemic response to a potentially life-long chronic wound. The measurements of the pro-inflammatory cytokines, found in the stomal exudate (local biomarkers) and blood serum (systemic biomarkers), along with evolving microbiota profiles (Aim #1) will help to better characterize the homeostatic state of the stoma and subsequent optimum wound care therapies.
The ability to predict infection and to avoid it without the use of antibiotics would be of great value to future clinical trials. Assuming the success of this feasibility pilot trial, it is anticipated that the trial will be expanded to include 200 patients.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| POP 10 patient cohort | This is an observational study |
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| Measure | Description | Time Frame |
|---|---|---|
| Bacterial Community Types as Determined by Percentage RNA Sequence Reads | To compare, within each participant, the Bacterial Community Type dynamics over time, we used Loess regression to visualize local (temporal) trends in the data. Specifically, it takes the scatter-plot of values (relative abundances, diversity indices) and uses smoothing to identify local trends in the data. As percentage RNA sequence reads were the measure of central tendency, measure of dispersion of the data was not possible to calculate. | On Day 3 after first surgery and day 3 prior to and days, 3, 14 and week 6 and months 3, 6, 9 and 12 after second surgery. |
| Measure | Description | Time Frame |
|---|---|---|
| Time to Equilibrium of the Bacterial Community Types Over the Duration of the Study | Times required to reach stable Bacterial Community Types (CT) after the Stage 2 surgery. Dirichlet multinomial mixture modeling was used to examine the heterogeneity and optimal number of the community compositions within each sample site. Often, skin samples clustered optimally to a single community type. Five community types (CT1-5) were identified: CT1 was defined by mixed communities of obligate anaerobes. CT2 was defined as those with median Shannon diversity index of ~4.5. CT3 was defined as the microbial community with the Shannon index of ~ 0.6 and dominated by Streptococcus. CT4 and CT5 were characterized by high relative abundances of Corynebacterium (median = 49%) and Staphylococcus (median = 34%), respectively. Patients, post-surgery, stabilized to one of CT1 - CT5 stomal microbiota. |
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Inclusion Criteria:
Exclusion Criteria:
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10 transfemoral amputees selected from Veteran and active military populations
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| Name | Affiliation | Role |
|---|---|---|
| James P Beck, MD | VA Salt Lake City Health Care System, Salt Lake City, UT | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| VA Salt Lake City Health Care System, Salt Lake City, UT | Salt Lake City | Utah | 84148 | United States |
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Patients, who were recruited to participate in the early feasibility study of the percutaneous osseointegrated prosthesis (NCT02720159), were also recruited to participate in this study. Patients were transfemoral amputees selected from the VA patient registry
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| ID | Title | Description |
|---|---|---|
| FG000 | Stomal and Skin Microbiota | Unilateral transfemoral amputees, who were fitted with a single percutaneous osseointegrated prosthetic device, were included in this study. The microbiota of the stoma (the skin exit site through which the percutaneous post protrudes) was sampled at defined time points for 16S (Svedberg unit) rRNA (ribosomal ribonucleic acid) and followed for 12 months, after the Stage 2-surgery. Microbiota from each patient's healthy ipsilateral thigh skin were used as controls. Thus, each patient had an internal control at each sampling point. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | POP 10 Patient Cohort | Patient who are fitted with POP devices |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Bacterial Community Types as Determined by Percentage RNA Sequence Reads | To compare, within each participant, the Bacterial Community Type dynamics over time, we used Loess regression to visualize local (temporal) trends in the data. Specifically, it takes the scatter-plot of values (relative abundances, diversity indices) and uses smoothing to identify local trends in the data. As percentage RNA sequence reads were the measure of central tendency, measure of dispersion of the data was not possible to calculate. | Microbiota from implant stoma and ipsilateral thigh skin. | Posted | Number | Percentage RNA sequence reads | On Day 3 after first surgery and day 3 prior to and days, 3, 14 and week 6 and months 3, 6, 9 and 12 after second surgery. |
|
1 year
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | POP 10 Patient Cohort | Patients implanted with POP devices | 0 |
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This is an observational study limited by the small number of participants
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| James Peter Beck | Department of Veterans Affairs | 801-231-6309 | james.beck@hsc.utah.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Jun 21, 2016 | Aug 13, 2019 | ICF_000.pdf |
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Jul 12, 2019 | Aug 13, 2019 | Prot_SAP_001.pdf |
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Stomal and skin swab samples for bacterial 16S ribosomal RNA and fungal 18S ribosomal RNA. Blood samples to detect messenger ribonucleic acid (mRNA) of genes regulating production of immune proteins. Serous drainage from the stoma to determine wound healing cytokine expression.
| On Day 3 after first surgery and day 3 prior to and days, 3, 14 and week 6 and months 3, 6, 9 and 12 after second surgery. |
| Participants |
|
| Sex: Female, Male | Count of Participants | Participants |
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| Race and Ethnicity Not Collected | Race and Ethnicity were not collected from any participant. | Count of Participants | Participants |
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| Region of Enrollment | Count of Participants | Participants |
|
| Fitted with a percutaneous osseointegrated prosthesis | Number | Number of patients |
|
| OG001 |
| Healthy Thigh Skin Microbiota |
Patient's thigh skin with and without POP implants (which proved to be the same and the ipsilateral thigh skin was used for final analysis) |
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| Secondary | Time to Equilibrium of the Bacterial Community Types Over the Duration of the Study | Times required to reach stable Bacterial Community Types (CT) after the Stage 2 surgery. Dirichlet multinomial mixture modeling was used to examine the heterogeneity and optimal number of the community compositions within each sample site. Often, skin samples clustered optimally to a single community type. Five community types (CT1-5) were identified: CT1 was defined by mixed communities of obligate anaerobes. CT2 was defined as those with median Shannon diversity index of ~4.5. CT3 was defined as the microbial community with the Shannon index of ~ 0.6 and dominated by Streptococcus. CT4 and CT5 were characterized by high relative abundances of Corynebacterium (median = 49%) and Staphylococcus (median = 34%), respectively. Patients, post-surgery, stabilized to one of CT1 - CT5 stomal microbiota. | Ten unilateral transfemoral amputees with a percutaneous osseointegrated prosthetic docking system. | Posted | Mean | Standard Deviation | Months | On Day 3 after first surgery and day 3 prior to and days, 3, 14 and week 6 and months 3, 6, 9 and 12 after second surgery. |
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| 10 |
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| 0 |
| 10 |
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