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| Name | Class |
|---|---|
| Region Östergötland | OTHER |
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This project aims to develop a novel method for identifying early tissue damage related to pressure ulcer (PU) development in vulnerable patients by measuring biomarkers of inflammation on the skin surface. PUs are common and costly injuries that result from prolonged pressure on the skin. Current methods to assess PU risk are unreliable, and the mechanisms of PU development are not well understood. This project contributes to new knowledge of PU etiology as well as the individual variability at a molecular level combined with new knowledge about nursing actions and clinical factors linked to PU progression and outcomes of prevention. The project will use non-invasive techniques and model-based analysis to identify specific biomolecules that reflect individual susceptibility to pressure exposure in different PU risk scenarios.
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:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| non-invasive ventilation teraphy, NIV | Procedure | Routine management regimes of NIV |
|
| Measure | Description | Time Frame |
|---|---|---|
| CTACK | inflammatory biomarker | 2 minutes |
| ENA-78 | inflammatory biomarker | 2 minutes |
| Eotaxin | inflammatory biomarker | 2 minutes |
| Eotaxin-2 | inflammatory biomarker | 2 minutes |
| Eotaxin-3 | inflammatory biomarker | 2 minutes |
| EPO | inflammatory biomarker | 2 minutes |
| FLT3L | inflammatory biomarker | 2 minutes |
| Fractalkine | inflammatory biomarker | 2 minutes |
| G-CSF | inflammatory biomarker | 2 minutes |
| GM-CSF | inflammatory biomarker |
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Inclusion Criteria:
- patients that use oronasal face masks in their ordinary care during routine management regimes of non invasive ventilation.
Exclusion Criteria
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Patients that use oronasal face masks in their ordinary care during routine management regimes of non invasive ventilation.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sara Bergstrand, PhD | Contact | +4613286773 | sara.bergstrand@liu.se |
| Name | Affiliation | Role |
|---|---|---|
| Sara Bergstrand, PhD | Linkoeping University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Linköping University | Linköping | 58183 | Sweden |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27534925 | Background | 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. | |
| 36440591 | Background | 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. |
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No IDP data will be shared outside the research group
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| ID | Term |
|---|---|
| D003668 | Pressure Ulcer |
| ID | Term |
|---|---|
| D012883 | Skin Ulcer |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
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| ID | Term |
|---|---|
| D063087 | Noninvasive Ventilation |
| ID | Term |
|---|---|
| D012121 | Respiration, Artificial |
| D058109 | Airway Management |
| D013812 | Therapeutics |
| D012138 | Respiratory Therapy |
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skin sebum
| 2 minutes |
| GRO-alpha | inflammatory biomarker | 2 minutes |
| I-309 | inflammatory biomarker | 2 minutes |
| IFN-α2a | inflammatory biomarker | 2 minutes |
| IFN-β | inflammatory biomarker | 2 minutes |
| IFN-γ | inflammatory biomarker | 2 minutes |
| IL-10 | inflammatory biomarker | 2 minutes |
| IL-12/IL-23p40 | inflammatory biomarker | 2 minutes |
| IL-12p70 | inflammatory biomarker | 2 minutes |
| IL-13 | inflammatory biomarker | 2 minutes |
| IL-15 | inflammatory biomarker | 2 minutes |
| IL-16 | inflammatory biomarker | 2 minutes |
| IL-17A | inflammatory biomarker | 2 minutes |
| IL-17A/F | inflammatory biomarker | 2 minutes |
| IL-17B | inflammatory biomarker | 2 minutes |
| IL-17C | inflammatory biomarker | 2 minutes |
| IL-17D | inflammatory biomarker | 2 minutes |
| IL-17E/IL-25 | inflammatory biomarker | 2 minutes |
| IL-17F | inflammatory biomarker | 2 minutes |
| IL-18 | inflammatory biomarker | 2 minutes |
| IL-1RA | inflammatory biomarker | 2 minutes |
| IL-1α | inflammatory biomarker | 2 minutes |
| IL-1β | inflammatory biomarker | 2 minutes |
| IL-2 | inflammatory biomarker | 2 minutes |
| IL-21 | inflammatory biomarker | 2 minutes |
| IL-22 | inflammatory biomarker | 2 minutes |
| IL-23 | inflammatory biomarker | 2 minutes |
| IL-27 | inflammatory biomarker | 2 minutes |
| IL-29/IFN-L1 | inflammatory biomarker | 2 minutes |
| IL-2Ra | inflammatory biomarker | 2 minutes |
| IL-3 | inflammatory biomarker | 2 minutes |
| IL-31 | inflammatory biomarker | 2 minutes |
| IL-33 | inflammatory biomarker | 2 minutes |
| IL-4 | inflammatory biomarker | 2 minutes |
| IL-5 | inflammatory biomarker | 2 minutes |
| IL-6 | inflammatory biomarker | 2 minutes |
| IL-7 | inflammatory biomarker | 2 minutes |
| IL-8 | inflammatory biomarker | 2 minutes |
| IL-9 | inflammatory biomarker | 2 minutes |
| IP-10 | inflammatory biomarker | 2 minutes |
| I-TAC | inflammatory biomarker | 2 minutes |
| MCP-1 | inflammatory biomarker | 2 minutes |
| MCP-2 | inflammatory biomarker | 2 minutes |
| MCP-3 | inflammatory biomarker | 2 minutes |
| MCP-4 | inflammatory biomarker | 2 minutes |
| M-CSF | inflammatory biomarker | 2 minutes |
| MDC | inflammatory biomarker | 2 minutes |
| MIF | inflammatory biomarker | 2 minutes |
| MIP-1α | inflammatory biomarker | 2 minutes |
| MIP-1β | inflammatory biomarker | 2 minutes |
| MIP-3α | inflammatory biomarker | 2 minutes |
| MIP-3β | inflammatory biomarker | 2 minutes |
| MIP-5 | inflammatory biomarker | 2 minutes |
| SDF-1alpha | inflammatory biomarker | 2 minutes |
| TARC | inflammatory biomarker | 2 minutes |
| TNF-α | inflammatory biomarker | 2 minutes |
| TNF-β | inflammatory biomarker | 2 minutes |
| TPO | inflammatory biomarker | 2 minutes |
| TRAIL | inflammatory biomarker | 2 minutes |
| TSLP | inflammatory biomarker | 2 minutes |
| VEGF-A | inflammatory biomarker | 2 minutes |
| YKL-40 | inflammatory biomarker | 2 minutes |
| 36823505 | Background | 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. |
| 36572004 | Background | 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. |