- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06468306
Combined Molecular and Mechanistic Methods for Detection of Pressure Ulcers
Combined Molecular and Mechanistic Methods for Early Detection and Individual Prevention of Pressure Ulcer Formation in Vulnerable Patients
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Purpose and aims A pressure ulcer (PU) is a localized injury to the skin and/or underlying tissue and develop from prolonged pressure on the skin. Such injuries are common in the healthcare setting, especially among vulnerable elderly. PUs greatly decrease the quality of life of individuals and are costly for the healthcare system. As many as 14% of the inpatients suffered from PUs in the Swedish country's municipalities and regions during 2022. The origin and timing of events leading to PUs are not fully understood, and current methods to assess the risk for an individual to develop a PU, are unreliable. Therefore, there is an urgent need to develop more objective, sensitive and specific methods for identifying early signs of tissue damage before they come visible and thus avoid development of PUs.
The investigators have previously identified a preliminary set of molecular biomarkers (cytokines and proteins), sampled non-invasively in the sebum, that reflects the inflammatory process under-pinning PU etiology and, possibly, individual susceptibility to pressure exposure. Therefore, it is hypothesize that non-invasive measurements of specific biomolecules on the skin surface, together with model-based analysis, can be used for individualized PU prediction. Accordingly, the purpose of this project is to confirm and expand on these preliminary findings in different PU risk scenarios to model the underlying inflammatory processes that reflect the individual vulnerability of the skin caused by pressure exposure and use modeling to extract a new layer of mechanistic insights of the underlying inflammatory process in different patient populations.
The specific aims of the project are:
- To establish and validate optimal combinations of molecular biomarkers to identify individual susceptibility to pressure exposure during routine management regimes related to medical devises non-invasive ventilation (NIV) therapy.
- To unravel key mechanisms in inflammatory processes related to early tissue damage by developing a mathematical model for the timing of events in the response to pressure, based on collected biomolecules, earlier data, and interaction databases
- To identify risk factors of PU vulnerability on an individual level in routine clinical settings by combining biomolecules, model-based simulations, and clinical parameters
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Sara Bergstrand, PhD
- Phone Number: +4613286773
- Email: sara.bergstrand@liu.se
Study Locations
-
-
-
Linköping, Sweden, 58183
- Linköping University
-
Principal Investigator:
- Sara Bergstrand, PhD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- patients that use oronasal face masks in their ordinary care during routine management regimes of non invasive ventilation.
Exclusion Criteria
- acute respiratory failure
- previous ICU care
- pressure ulcer on measurement site
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
individuals with NIV treatment
Patients that use oronasal face masks in their ordinary care to measure early-stage medical devise-related tissue damage during routine management regimes of NIV.
Approximately 150 adult patients of both sexes will be recruited, from facilities that employ oronasal face masks in the routine care.
|
Routine management regimes of NIV
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
CTACK
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
ENA-78
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
Eotaxin
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
Eotaxin-2
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
Eotaxin-3
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
EPO
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
FLT3L
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
Fractalkine
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
G-CSF
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
GM-CSF
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
GRO-alpha
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
I-309
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IFN-α2a
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IFN-β
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IFN-γ
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-10
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-12/IL-23p40
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-12p70
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-13
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-15
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-16
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-17A
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-17A/F
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-17B
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-17C
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-17D
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-17E/IL-25
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-17F
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-18
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-1RA
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-1α
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-1β
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-2
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-21
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-22
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-23
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-27
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-29/IFN-L1
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-2Ra
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-3
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-31
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-33
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-4
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-5
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-6
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-7
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-8
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IL-9
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
IP-10
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
I-TAC
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MCP-1
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MCP-2
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MCP-3
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MCP-4
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
M-CSF
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MDC
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MIF
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MIP-1α
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MIP-1β
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MIP-3α
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MIP-3β
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
MIP-5
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
SDF-1alpha
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
TARC
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
TNF-α
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
TNF-β
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
TPO
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
TRAIL
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
TSLP
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
VEGF-A
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
|
YKL-40
Time Frame: 2 minutes
|
inflammatory biomarker
|
2 minutes
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Sara Bergstrand, PhD, Linkoeping University
Publications and helpful links
General Publications
- Kallman U, Bergstrand S, Ek AC, Engstrom M, Lindgren M. Blood flow responses over sacrum in nursing home residents during one hour bed rest. Microcirculation. 2016 Oct;23(7):530-539. doi: 10.1111/micc.12303.
- Feldt A, Kohler AK, Bergstrand S. Nurses' strategies to enable continuous positive airway pressure therapy in a general medical ward context: A qualitative study. Scand J Caring Sci. 2023 Jun;37(2):524-533. doi: 10.1111/scs.13136. Epub 2022 Nov 28.
- John AJUK, Galdo FD, Gush R, Worsley PR. An evaluation of mechanical and biophysical skin parameters at different body locations. Skin Res Technol. 2023 Feb;29(2):e13292. doi: 10.1111/srt.13292.
- Jayabal H, Bader DL, Worsley P. Development of an Efficient Extraction Methodology to Analyse Potential Inflammatory Biomarkers from Sebum. Skin Pharmacol Physiol. 2023;36(1):38-50. doi: 10.1159/000528653. Epub 2022 Dec 26.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2023-07341-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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