Assessing Diabetic Foot Ulcer Microcirculation With High-frequency Contrast Enhanced Ultrasound
NCT ID: NCT06309082
Last Updated: 2024-10-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
100 participants
OBSERVATIONAL
2024-11-30
2026-12-31
Brief Summary
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* What are the dynamic characteristics of vascular dynamics at the site of ulcer wounds in patients with DFU under high-frame-rate ultrasound imaging?
* Is High-Frequency Contrast-Enhanced Ultrasound (H-CEUS) technology feasible for effectively visualizing the microcirculation of ulcer wounds in patients with DFU? Participants will Undergo high-frame-rate ultrasound imaging for real-time observation of blood perfusion dynamics at the site of ulcer wounds.
Researchers will compare ulcerated sites with normal sites to see whether the use of High-Frequency Contrast-Enhanced Ultrasound (H-CEUS) has any discernible impact on the visualization of microcirculation in ulcer wounds.
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Detailed Description
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2. Correlate H-CEUS score with traditional measurement indicators Perform color Doppler ultrasound (CDU), laser Doppler perfusion monitoring (LDPM), and transcutaneous partial pressure of oxygen (TcPO2) measurements at ulcer sites for participants. Analyze the correlation between H-CEUS score and the aforementioned five traditional microcirculation assessment methods. This analysis aims to determine if H-CEUS effectively reflects the degree of ischemia in DFU patients' ulcerated limbs, providing a new, non-invasive assessment tool to assist physicians in accurately assessing ulcer severity and tissue damage, facilitating the formulation of individualized and effective treatment plans.
3. Construct and evaluate the limb salvage predictive model using H-CEUS Conduct a retrospective analysis of clinical data from hospitalized DFU patients, categorizing them into limb salvage and amputation groups. Compare baseline data, biochemical indicators, and data based on H-CEUS scores between the two groups. Utilize single-factor and multi-factor logistic regression analysis to identify amputation-related risk factors. Subsequently, employ a random forest algorithm to construct a model based on H-CEUS data to predict limb salvage in DFU patients. To further validate the accuracy and clinical utility of this predictive model, nomogram charts and decision curve analysis (DCA) will be created.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Diabetic foot ulcer limb salvage group
The patient was treated without amputation
Debridement
Debridement of diabetic foot ulcers was performed
Diabetic foot ulcer without limb salvage group
The treatment option for the patient was amputation
Amputation
Amputation was performed on diabetic foot ulcer
Interventions
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Amputation
Amputation was performed on diabetic foot ulcer
Debridement
Debridement of diabetic foot ulcers was performed
Eligibility Criteria
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Inclusion Criteria
2. They exhibit concurrent peripheral neuropathy and/or lower limb vascular lesions
3. The feet show varying degrees of infection, ulcers, and/or damage to deep tissues
Exclusion Criteria
2. Exclusion of patients with impaired fasting glucose and abnormal glucose tolerance
3. Diabetes complicated by stasis dermatitis
4. Use of medications or substances affecting vascular conditions, such as vasoconstrictors
ALL
No
Sponsors
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First Affiliated Hospital of Wenzhou Medical University
OTHER
Responsible Party
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Locations
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the First Affiliated Hospital the First Affiliated Hospital
Wenzhou, Zhejiang, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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DFU
Identifier Type: -
Identifier Source: org_study_id
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