Combined Molecular and Mechanistic Methods for Detection of Pressure Ulcers

June 20, 2024 updated by: Sara Bergstrand, Linkoeping University

Combined Molecular and Mechanistic Methods for Early Detection and Individual Prevention of Pressure Ulcer Formation in Vulnerable Patients

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.

Study Overview

Status

Not yet recruiting

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:

  1. 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.
  2. 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
  3. 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

Observational

Enrollment (Estimated)

150

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Linköping, Sweden, 58183
        • Linköping University
        • Principal Investigator:
          • Sara Bergstrand, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients that use oronasal face masks in their ordinary care during routine management regimes of non invasive ventilation.

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Sara Bergstrand, PhD, Linkoeping University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

August 1, 2024

Primary Completion (Estimated)

December 30, 2025

Study Completion (Estimated)

December 30, 2027

Study Registration Dates

First Submitted

June 4, 2024

First Submitted That Met QC Criteria

June 20, 2024

First Posted (Actual)

June 21, 2024

Study Record Updates

Last Update Posted (Actual)

June 21, 2024

Last Update Submitted That Met QC Criteria

June 20, 2024

Last Verified

June 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • 2023-07341-01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

No IDP data will be shared outside the research group

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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