Predict Wound Healing Research Articles

Determining the Best Noninvasive Test for Peripheral Arterial Disease Diagnosis to Predict Diabetic Foot Ulcer Healing in Patients Following Endovascular Revascularization.

To analyze the best noninvasive tests prognosis marker in patients with diabetic foot ulcer (DFU) who underwent endovascular revascularization based on clinical outcomes, such as healing rate, time to heal, and free amputation survival after at least a six-month follow-up. A multicentric prospective observational study was performed with 28 participants with ischemic or neuroischemic DFU who came to the participant centers and underwent endovascular revascularization between January 2022 and March 2023. Toe systolic pressure (TP), ankle systolic pressure (AP), the ankle brachial pressure index (ABPI), the toe brachial pressure index (TBPI), transcutaneous pressure of oxygen (TcPO2), and skin perfusion pressure (SPP) were evaluated using PeriFlux 6000 System, Perimed, Sweden, before (Visit 0) and four weeks after revascularization (Visit 1). The primary clinical outcome was an evaluation of the clinical evolution of noninvasive tests comparing Visit 0 and Visit 1, estimating the sensitivity for predicting wound healing of noninvasive tests at six months following initial recruitment. After six months, 71.43% (n = 20) of DFU healed, four patients (14.3%) received major amputations, and one (3.5%) died. The two tests that best predicted wound healing after revascularization according to the ROC curve were TcPO2 and TP with sensitivities of 0.89 and 0.70 for the cut-off points of 24 mmHg and 46 mmHg, respectively. TcPO2 and TP were the two tests that best predicted wound healing in patients who underwent endovascular revascularization. Clinicians should consider the importance of the evaluation of microcirculation in the healing prognosis of patients with diabetic foot ulcers.

Prediction of wound healing status following dental extraction using Adapted-University of Connecticut osteonecrosis numerical scale: A retrospective study.

There is a scarcity of evidence concerning the use of a prognostic instrument for predicting normal healing, delayed healing, and medication-related osteonecrosis of the jaw (MRONJ) occurrence following tooth extraction in medically compromised patients. The present study aimed to predict healing outcomes following tooth extraction in medically compromised patients using an Adapted-University of Connecticut osteonecrosis numerical scale (A-UCONNS). The digital medical records of medically compromised patients were reviewed, who underwent tooth extraction. The A-UCONNS parameters included the initial pathological condition, dental procedures, comorbidities (smoking habits, type and duration of medication, and type of intervention), and administered antiresorptive (AR) medications. Each parameter was assigned a different weight, and the scores were then accumulated and classified into three categories: minimal risk (less than 10), moderate risk (10-15), and significant risk (16 or more). The patient's healing status was categorized as normal healing, delayed healing, or MRONJ. A total of 353 male patients (mean age: 67.4 years) were recruited from a pool of 3977 patients, where 12.46% of patients had delayed wound healing, and 18.69% developed MRONJ. The median A-UCONNS scores for MRONJ were higher based on initial pathology, comorbidity, and AR drugs compared to normal or delayed healing. In addition, a significant relationship existed between A-UCONNS and healing outcomes (p < 0.05), with a unit increase in A-UCONNS associated with 1.347 times higher odds of experiencing MRONJ compared to normal healing. In contrast, a low score was linked to an increased likelihood of normal wound healing. The A-UCONNS could act as a promising tool for predicting wound healing outcomes. It can provide clinicians the ability to pinpoint patients at high risk and allow tailoring of patient-specific strategies for improving healing outcomes following tooth extraction.

Effectiveness of Global Leadership Initiative on Malnutrition and Subjective Global Assessment for diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers.

Malnutrition significantly hampers wound healing processes. This study aimed to compare the effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) and Subjective Global Assessment (SGA) in diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers (DFU). GLIM criteria were evaluated for sensitivity (SE), specificity (SP), positive predictive value, negative predictive value and kappa (κ) against SGA as the reference. Modified Poisson regression model and the DeLong test investigated the association between malnutrition and non-healing ulcers over 6 months. This retrospective cohort study included 398 patients with DFU, with a mean age of 66·3 ± 11·9 years. According to SGA and GLIM criteria, malnutrition rates were 50·8 % and 42·7 %, respectively. GLIM criteria showed a SE of 67·3 % (95 % CI 60·4 %, 73·7 %) and SP of 82·7 % (95 % CI 76·6 %, 87·7 %) in identifying malnutrition, with a positive predictive value of 80·0 % and a negative predictive value of 71·1 % (κ = 0·50) compared with SGA. Multivariate analysis demonstrated that malnutrition, as assessed by SGA, was an independent risk factor for non-healing (relative risk (RR) 1·84, 95 % CI 1·45, 2·34), whereas GLIM criteria were associated with poorer ulcer healing in patients with estimated glomerular filtration rate ≥ 60 ml/min/1·73m2 (RR: 1·46, 95 % CI 1·10, 1·94). SGA demonstrated a superior area under the receiver's operating characteristic curve for predicting non-healing compared with GLIM criteria (0·70 (0·65-0·75) v. 0·63 (0·58-0·65), P < 0·01). These findings suggest that both nutritional assessment tools effectively identify patients with DFU at increased risk, with SGA showing superior performance in predicting non-healing ulcers.

What is slough? Defining the proteomic and microbial composition of slough and its implications for wound healing.

Slough is a well-known feature of non-healing wounds. This pilot study aims to determine the proteomic and microbiologic components of slough as well as interrogate the associations between wound slough components and wound healing. Ten subjects with slow-to-heal wounds and visible slough were enrolled. Aetiologies included venous stasis ulcers, post-surgical site infections and pressure ulcers. Patient co-morbidities and wound healing outcome at 3-months post-sample collection was recorded. Debrided slough was analysed microscopically, through untargeted proteomics, and high-throughput bacterial 16S-ribosomal gene sequencing. Microscopic imaging revealed wound slough to be amorphous in structure and highly variable. 16S-profiling found slough microbial communities to associate with wound aetiology and location on the body. Across all subjects, slough largely consisted of proteins involved in skin structure and formation, blood-clot formation and immune processes. To predict variables associated with wound healing, protein, microbial and clinical datasets were integrated into a supervised discriminant analysis. This analysis revealed that healing wounds were enriched for proteins involved in skin barrier development and negative regulation of immune responses. While wounds that deteriorated over time started off with a higher baseline Bates-Jensen Wound Assessment Score and were enriched for anaerobic bacterial taxa and chronic inflammatory proteins. To our knowledge, this is the first study to integrate clinical, microbiome, and proteomic data to systematically characterise wound slough and integrate it into a single assessment to predict wound healing outcome. Collectively, our findings underscore how slough components can help identify wounds at risk of continued impaired healing and serves as an underutilised biomarker.

Progress in the application of artificial intelligence in skin wound assessment and prediction of healing time.

Since the 1970s, artificial intelligence (AI) has played an increasingly pivotal role in the medical field, enhancing the efficiency of disease diagnosis and treatment. Amidst an aging population and the proliferation of chronic disease, the prevalence of complex surgeries for high-risk multimorbid patients and hard-to-heal wounds has escalated. Healthcare professionals face the challenge of delivering safe and effective care to all patients concurrently. Inadequate management of skin wounds exacerbates the risk of infection and complications, which can obstruct the healing process and diminish patients' quality of life. AI shows substantial promise in revolutionizing wound care and management, thus enhancing the treatment of hospitalized patients and enabling healthcare workers to allocate their time more effectively. This review details the advancements in applying AI for skin wound assessment and the prediction of healing timelines. It emphasizes the use of diverse algorithms to automate and streamline the measurement, classification, and identification of chronic wound healing stages, and to predict wound healing times. Moreover, the review addresses existing limitations and explores future directions.

TRYPTOPHAN: A POTENTIAL BIOMARKER DISTINGUISHING CHRONIC VENOUS LEG ULCERS HEALING IN OLDER ADULTS

Abstract Chronic venous leg ulcers (CVLUs) affect 2 million persons annually, including 4% of people over age 65 years. Chronic wound healing is a complex process that is still not well understood. Indoleamine 2,3-dioxygenase (IDO) activity is highly active in chronic wounds. The study aims to examine the tryptophan (TRP) L-Kynurenine (KYN) metabolic pathway as a biomarker of CVLUs healing. We collected 60 serum samples from 30 older adult patients with CVLUs receiving weekly sharp debridement at a university wound clinic. Serum samples were collected at baseline, week 4, and week 8 until wound closure. Liquid chromatography-mass spectrometry (LC-MS) metabolomics was utilized to examine targeted metabolites. A robust Bayesian approach was employed to examine correlations between change of metabolites and linear healing slope. The mean age was 71.13 (±9.46); 25 (83.3%) were white; the mean wound area was 2823.54 (±6002.93) mm2; the mean wound duration was 341.67 (±538.29) days. A total of 11 participants had healed wounds during the study period. Those with healing CVLUs had higher levels of mean TRP at baseline and over time compared to individuals with non-healing CVLUs. Change in Kynurenic Acid (r:-0.36, Bayes factor: 3.70, 95% Credibility Interval [-0.62, -0.06]) was associated with a linear healing slope. Serum tryptophan may serve as a candidate biomarker for predicting wound healing trajectories, which can guide clinicians in making treatment decisions. Specifically, decreasing metabolites associated with the downstream activity of the kynurenine pathway, a pathway for tryptophan metabolism may be an indicator of healing under sharp debridement in CVLUs.

Role of Hemodynamic Assessment and Limitations in Ankle-Brachial Pressure Index, Toe- Brachial Pressure Index to Predict Wound Healing After Revascularization.

Chronic limb-threatening ischemia (CLTI) represents one of the most severe forms of peripheral arterial disease implying impaired wound healing and tissue loss at the same time posing a significant impact on the quality of life of patients and a serious economic burden on healthcare systems around the world. A major challenge in the management of patients with CLTI is the validity and role of non-invasive hemodynamic parameters in assessing their clinical status before and after revascularization. Traditionally, the diagnosis of CLTI is routinely based on clinical symptoms and confirmed by measurements of non-invasive limb hemodynamics including ankle-brachial pressure index (ABPI) and toe-brachial pressure index (TBPI). However, whether these indices alone can provide definitive treatment or be used as adjunctive tool along with the implementation of novel techniques to help guide revascularization for CLI patients still remains unclear.

Unveiling the role of artificial intelligence for wound assessment and wound healing prediction

Wound healing is a very dynamic and complex process as it involves the patient, wound-level parameters, as well as biological, environmental, and socioeconomic factors. Its process includes hemostasis, inflammation, proliferation, and remodeling. Evaluation of wound components such as angiogenesis, inflammation, restoration of connective tissue matrix, wound contraction, remodeling, and re-epithelization would detail the healing process. Understanding key mechanisms in the healing process is critical to wound research. Elucidating its healing complexity would enable control and optimize the processes for achieving faster healing, preventing wound complications, and undesired outcomes such as infection, periwound dermatitis and edema, hematomas, dehiscence, maceration, or scarring. Wound assessment is an essential step for selecting an appropriate treatment and evaluating the wound healing process. The use of artificial intelligence (AI) as advanced computer-assisted methods is promising for gaining insights into wound assessment and healing. As AI-based approaches have been explored for various applications in wound care and research, this paper provides an overview of recent studies exploring the application of AI and its technical developments and suitability for accurate wound assessment and prediction of wound healing. Several studies have been done across the globe, especially in North America, Europe, Oceania, and Asia. The results of these studies have shown that AI-based approaches are promising for wound assessment and prediction of wound healing. However, there are still some limitations and challenges that need to be addressed. This paper also discusses the challenges and limitations of AI-based approaches for wound assessment and prediction of wound healing. The paper concludes with a discussion of future research directions and recommendations for the use of AI-based approaches for wound assessment and prediction of wound healing.

Effectiveness of Topical Garlic Extract (Allium sativum) Cream on Wound Healing in Mice with Acute Injury Model Case Review of Vascular Endothelial Growth Factor Cytokine Expression

Wounds will cause problems if the handling is not good, causing chronic wounds. Garlic (Allium Sativum) is a typical tropical plant including Indonesia, whose tubers are often used in traditional medicine, including to heal wounds. (VEGF) as a Predictor of Wound Healing) in the rat model of acute injury. Experimental research was carried out using the Randomized Post Test Control Group design. This research was conducted using 4 laboratories, namely the Biopharmaca Research Activity Center (PKP) of Hasanuddin University for the process of making Garlic Extract Topical Cream (EBP), Animal Laboratory, Faculty of Medicine, Hasanuddin University for the maintenance and treatment of experimental animals. , Laboratory of Histopathology Maros Veterinary Center for making Histopathology slides, using 54 Wistar strain Rattus novergicus rats by making excisions on the left and right backs with a diameter of 8 mm using a punc byopsia. Then the rats were divided into 3 groups, namely the negative control group of 0.9% NaCl, the positive control group of 3% oxytetracycline and the treatment group of 10% topical garlic extract cream. The wound tissue of each group was observed microscopically on days 3, 7 and 14. The results showed that wound healing using topical garlic extract cream (Allium sativum) was better than the control group by increasing the expression of Vascular Endothelial Growth Factor (VEGF).

The importance of temperature monitoring in predicting wound healing.

Upon wound formation, the wound temperature rises in the first 3-4 days until reaching its peak. It then falls at about one week after wound formation. In the second week after wound formation, the wound temperature decreases steadily to the baseline indicating a good wound condition and progression towards healing. While a continuous high temperature is often a sign of excessive inflammation or infection, which indicates urgent need of intervention and treatment.

Techniques Providing Endpoints for Revascularization in Chronic Limb-Threatening Ischemia.

It is frequently difficult to estimate the revascularization endpoint in patients with chronic limb-threatening ischemia where there may be extensive multifocal multiarterial disease. There have been attempts to identify an endpoint for revascularization procedures, but none has become the standard of care. An ideal indicator of an endpoint can objectively quantify tissue perfusion, predict wound healing, and is easily and efficiently used intraprocedurally to assist real-time decision making on whether adequate perfusion has been reached. Candidate techniques to evaluate endpoints post-revascularization are discussed here.

The Use of Laser Doppler Imaging in Nitric Acid Burns: A Case Report and Literature Review.

Laser Doppler Imaging (LDI) technology has been validated to assess thermal burn depth by predicting wound healing potential. However, there is no clear evidence for its use in chemical burns. We present a case of an 8% total burn surface area (TBSA) nitric-acid burn following an industrial accident, in an otherwise healthy 36-year-old man. LDI assessment was suggestive of poor healing potential of >21 days, warranting surgical management. However, conservative management was opted for based on clinical assessment as the wound eschar appeared thin and more consistent with epithelial staining. Patient follow-up confirmed a total burn healing time of two months, suggesting that the LDI assessment was accurate. A comprehensive literature review was performed using the MEDLINE (PubMed) database to identify animal or clinical studies evaluating the efficacy of LDI in chemical burns. A qualitative synthesis of our findings is presented. We identified two experimental studies in porcine models with sulphur mustard burns, each confirming the accuracy of LDI assessment when compared to the histopathology findings. Limited experimental animal studies on the use of LDI suggest similar validity in chemical burns, and this correlates with the clinical outcome in this case. However, this alone is insufficient to prove its validity and define its role in the assessment of chemical burns. Clinical trials are required to further assess and define the parameters of LDI use and efficacy in this context.

Wound healing and healing process in patients with diabetic foot ulcers: A survival analysis study

AimsThis study aimed to identify demographic, clinical, and psychological contributors to DFU healing and favorable healing process. MethodsPatients with a chronic DFU were evaluated at baseline (T0; n = 153), two months later (T1; n = 108), and six months later (T2; n = 71). Patients were evaluated on health literacy, perceived stress, anxiety, depression, and illness perceptions. Cox proportional hazard models were built to analyze the predictors of DFU healing and favorable healing process (wound area reduction), including the assessment of time to achieve those outcomes. ResultsMore than half of patients had their DFU healed (56.1%) or showed a favorable healing process (83.6%). Median time for healing was 112 days, while for favorable process was 30 days. Illness perceptions were the only predictor of wound healing. Being female , with adequate health literacy, and a first DFU predicted a favorable healing process. ConclusionsThis is the first study showing that beliefs about DFU are significant predictors of DFU healing, and that health literacy is a significant predictor of a favorable healing process. Brief, comprehensive interventions should be implemented, at the treatment initial stage, in order to change misperceptions and to promote DFU literacy and better health outcomes.

Evaluation of tissue perfusion by indocyanine green fluorescein angiography in patients with neuroischemic diabetic foot syndrome after endovascular treatment

To evaluate the fluorescence angiography (FA) parameters with Indocyanine green (ICG) and their dynamics in diabetic foot patients after endovascular treatment. A single-center prospective non-blinded study was conducted with the inclusion of 47 diabetic foot patients with Chronic limb-threatening ischemia (CLTI). TcPO2 and FA-ICG were done before and after angioplasty. Zones of interest were selected for FA-ICG: the area of minimum and maximum fluorescence, the area of of the largest part of the foot. Also presented are the parameters of FA ICG: Tstart (sec) - the time of occurrence of min fluorescence (Istart, unit) in the zone of interest after the introduction of ICG; Tmax (sec) - the time to achieve max fluorescence (Imax, unit) after the introduction of ICG; Tmax -Tstart (sec) - the difference in the time of reaching Imax and Istart. The median TcPO2 values indicated the presence of CLTI before revascularization. Technical success of revascularization was achieved in 45 patients. In the postoperative period, statistically significant changes in TcPO2 and Tstart, Tmax, Tmax-Tstar were obtained. A reduction in the time to reach the ICZ to the zones of interest was noted. FA-ICG evaluate the visual and quantitative characteristics of perfusion of soft tissues of the foot. Reducing the time to reach the fluorescent substance in the areas of interest makes it possible to assume the restoration of the main blood flow to the foot. Further investigations are warranted to determine threshold values to predict wound healing and indications for revascularization.

TcPO2 Value Can Predict Wound Healing Time in Clinical Practice of CLTI Patients

Transcutaneous oxygen pressure (TcPO2) is a noninvasive, nonradiological test to measure local oxygen released from capillaries through the skin. Since it reflects the metabolic state of the lower limb, it can predict wound healing in patients with critical limb threatening ischemia (CLTI). The purpose of this study was to determine the effectiveness of TcPO2 test in evaluating wound healing potential of patients with CLTI. This was a retrospective, single-center, nonrandomized, and observational study. A prospectively registered database of patients who visited Vascular Surgery Department of St. Mary's Hospital for CLTI and underwent TcPO2 tests from October 1, 2015 to July 1, 2021 was reviewed. Patients were divided into 2 groups: (1) those who had amputation only; and (2) those who underwent revascularization procedures. Patients whose wound healing status could not be determined were excluded. The clinical characteristics of patients, patient characteristics related to lower TcPO2 value, treatment success rate, and time for the wound to be healed were analyzed. A total of 84 patients were included in this study. There was no difference in background patient characteristics between the 2 groups despite better survival within 12months and shorter healing time in the revascularization group. A total of 76 patients survived 12months after surgery, and 63 patients were healed. Higher HbA1c, higher serum creatinine, history of stroke, and history of coronary artery disease were related to lower TcPO2 value on multiple linear regression. The cutoff value of TcPO2 was determined to be 40mm Hg for predicting wound healing. This value was similar to those of previous studies. In addition, there was a negative correlation between TcPO2 and wound healing time. Correlations among the anklebrachial index (ABI), toe-brachial index (TBI), and TcPO2 were not determined because ABI and TBI for some patients could not be obtained due to wound condition. The TcPO2 value can predict the wound healing process of ischemic lower extremity injury.

Reduced injury risk links sociality to survival in a group-living primate

Sociality has been linked to a longer lifespan in many mammals, including humans. Yet, how sociality results in survival benefits remains unclear. Using 10 years of data and over 1,000 recorded injuries in rhesus macaques (Macaca mulatta), we tested two injury-related mechanisms by which social status and affiliative partners might influence survival. Injuries increased individual risk of death by 3-fold in this dataset. We found that sociality can affect individuals' survival by reducing their risk of injury but had no effect on the probability of injured individuals dying. Both males and females of high social status (measured as female matrilineal rank and male group tenure) and females with more affiliative partners (estimated using the number of female relatives) experienced fewer injuries and thus were less likely to die. Collectively, our results offer rare insights into one mechanism that can mediate the well-known benefits of sociality on an individual's fitness.

Skin hydration level cutoff value to predict wound healing potential in diabetic foot ulcers

AimsTranscutaneous oxygen pressure (TcPO2) is a reliable predictor of wound healing in diabetes patients; however, measurements are cumbersome. Previously, we demonstrated that skin hydration in the feet of patients with diabetic foot ulcers (DFU) is influenced by microcirculation rather than peripheral nerve function. Furthermore, skin hydration level before recanalization can predict wound healing better than TcPO2. This study investigated the skin hydration level cutoff value to predict DFU healing. MethodsWe retrospectively enrolled 834 patients with DFU. Wound healing outcomes were graded as healed without amputation or with minor/major amputation. Receiver operating characteristic analysis was used to evaluate the ability of skin hydration to predict wound healing outcomes and determine the optimal cutoff value for subsequent analyses. ResultsAverage skin hydration values in the healed without and with amputation groups were 25.0 ± 7.4 arbitrary units (a.u.) and 17.5 ± 5.7 a.u., respectively (P < 0.001). The healing rate without amputation increased with skin hydration. A skin hydration value ≥ 21 a.u. significantly lowered the incidence of amputation. The cutoff value was 21 a.u. [(Youden's index, sensitivity, specificity, P-value) = (1.6, 92, 69.6, P < 0.001)]. ConclusionsA minimal skin hydration value of 21 a.u. is required for diabetic wound healing.

Can Wound Surface pH and Temperature Predict Wound Healing in Diabetic Foot Ulcer?

Introduction: Diabetic foot ulcer (DFU) is dreaded and one of the most intricate medical conditions in diabetes. Improving the healing of DFU is imperative for improved patient outcomes. To consider a biomarker of comprehensive value to patients and health care professionals, it should be cost effective, user friendly, reliable, acceptable, and it should be transferable among various health care settings. We aimed to assess 2 such potential factors: wound surface pH and wound surface temperature as a predictor of healing in DFU. Methods: DFU patients (n = 54) were assessed in terms of non-healing while evaluating them routinely. The patient’s wound was examined every week till 4 weeks or complete healing, whichever was earlier, and was given a score according to leg ulcer measurement tool (LUMT). Temperature of wounds was measured by “handheld Infrared thermometer” at room temperature. Wound surface pH was measured by handheld Potentiometric pH meter. All these parameters were compared with healing status of the wound which was assessed clinically with the LUMT score. Results: Wound surface temperature values ranged from 89-92°F (baseline) and 84-88°F (week 4), Leg ulcer measurement tool (LUMT) score was ranging from 43-56 (baseline) and 12-29 (week 4) and wound surface pH was ranging from 7.40-8.10 (baseline) and 7.20-7.40 (week 4). However, correlation studies among them were statistically insignificant. Conclusion: The possible advantages offered by objective, chair side methods for quick, precise, and sensitive monitoring of wound healing status, suggest that this process will become an important tool in wound healing surveillance and clinical decision making in resolution of non-healing of DFU in future.

Measurement of Revascularization Effect Using Near Infrared Spectroscopy in Below the Knee Arteries.

Current methods evaluating tissue ischemia are based mainly on evaluating blood flow and not tissue perfusion. However, diabetes mainly affects small vessels and blood flow evaluation is insufficient. The aim of the trial was to evaluate the feasibility of NIRS in measuring perfusion changes during chronic total occlusion (CTO) revascularization in below the knee (BTK) arteries. A prospective observational study was performed. During the endovascular revascularization procedure, tissue oxygenation changes were measured using three NIRS sensors. Postoperative angiographies and 30 days wound healing was evaluated. The study enrolled 30 patients with chronic limb threatening ischemia, occluded below the knee arteries, Rutherford 5. Mean age 74.7 11.2 years, 16 (53%) of the patients had diabetes mellitus, 10 (33%) had end-stage renal disease. A statistically significant NIRS increase was observed on sensors near the wound after the revascularization, p = 0.001. Thirty days follow-up visits included 27 patients, because 3 patients had died. Comparing good wound healing group with poor wound healing group intraoperative NIRS increase difference was statistically significant, p = 0.017. The study confirmed tissue perfusion increase could be detected using NIRS during revascularization of below the knee arteries. An intraoperative increase of NIRS proved to predict wound healing results.

The NIDDK Diabetic Foot Consortium.

The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Diabetic Foot Consortium (DFC) was established in September 2018 by the NIDDK to build an organization to facilitate the highest quality of clinical research on diabetic foot ulcers (DFUs) that will answer clinically significant questions to improve DFU healing and prevent amputations. The initial focus of the DFC is to develop and validate biomarkers for DFUs that can be used in clinical care and research. The DFC consists of a data coordinating center (DCC) for operational oversight and statistical analysis, clinical sites for participant recruitment and evaluation, and biomarker analysis units (BAUs). The DFC is currently studying biomarkers to predict wound healing and recurrence and is collecting biosamples for future studies through a biorepository. The DFC plans to address the challenges of recruitment and eligibility criteria for DFU clinical trials by taking an approach of "No DFU Patient Goes Unstudied." In this platform approach, clinical history, DFU outcome, wound imaging, and biologic measurements from a large number of patients will be captured and the in-depth longitudinal data set will be analyzed to develop a computational-based DFU risk factor profile to facilitate scientifically sound clinical trial design. The DFC will expand its platform to include studies of the role of social determinants of health, such as food insecurity, housing instability, limited health literacy, and poor social support. The DFC is starting partnerships with the broad group of stakeholders in the wound care community.