DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.

Introduction: Diabetic foot ulcers (DFUs) are a severe complication among diabetic patients, often leading to amputation or even death. Early detection of infection and ischemia is essential for improving healing outcomes, but current diagnostic methods are invasive, time-consuming, and costly. There is a need for non-invasive, efficient, and affordable solutions in diabetic foot care. Methods: We developed DFUCare, a platform that leverages computer vision and deep learning (DL) algorithms to localize, classify, and analyze DFUs non-invasively. The platform combines CIELAB and YCbCr color space segmentation with a pre-trained YOLOv5s algorithm for wound localization. Additionally, deep-learning models were implemented to classify infection and ischemia in DFUs. The preliminary performance of the platform was tested on wound images acquired using a cell phone. Results: DFUCare achieved an F1-score of 0.80 and a mean Average Precision (mAP) of 0.861 for wound localization. For infection classification, we obtained a binary accuracy of 79.76%, while ischemic classification reached 94.81% on the validation set. The system successfully measured wound size and performed tissue color and textural analysis for a comparative assessment of macroscopic wound features. In clinical testing, DFUCare localized wounds and predicted infected and ischemic with an error rate of less than 10%, underscoring the strong performance of the platform. Discussion: DFUCare presents an innovative approach to wound care, offering a cost-effective, remote, and convenient healthcare solution. By enabling non-invasive and accurate analysis of wounds using mobile devices, this platform has the potential to revolutionize diabetic foot care and improve clinical outcomes through early detection of infection and ischemia.

Blue Index as a Comprehensive, Patient-centered Assessment of Care in Diabetic Patients.

BACKGROUND: Assessment of diabetes health takes into account metabolic, nonmetabolic, and self-care measures like diet, exercise, follow-up, and habits. On the other hand, the index of complications includes the macro- and microvascular complications of diabetes along with foot complications. The Blue Index (BI) is a composite assessment of both diabetic health-related parameters and systemic complications stemming from diabetes. The present study aimed to evaluate the diabetes control status of the patients as a single index. METHODS: A prospective, observational study included a total of 100 adult diabetic patients in whom diabetic health status (DHS) and Komplications Score (KS) were assessed for cardiovascular/macrovascular, microvascular, and foot complications. The BI was calculated as a composite ratio, and measures were obtained at baseline, after 3 months, and at 6 months. Data were statistically analyzed. RESULTS: Diabetic health status significantly increased at the 3rd month and the 6th month, respectively, compared to baseline (p = 0.000). KS significantly decreased at the 3rd month and the 6th month, respectively, compared to baseline measures (p = 0.000). The composite BI scores showed a steady increase of 9.62 at the 3rd month and 13.14 at the 6th month, respectively, compared to baseline. Assessing based on the duration of diabetes detection, the scores of DHS, KS, and BI showed similar changes. Assessing based on patients' gender, DHS was significantly higher in females at baseline compared to males, with gradual improvement in scores over time for both genders. Contrastingly, KS was significantly lower in males compared to females, with scores showing gradual decrement over the time frame, signifying improvement in complications. DHS was significantly correlated with the duration of diabetes detection (p = 0.001) and age (p = 0.01). CONCLUSION: The BI is a simple tool that incorporates various parameters covering different aspects of diabetes care, including complications. It may be used not only by endocrinologists but also by all physicians as a tool to monitor and improve diabetic care.

In-shoe plantar shear stress sensor design, calibration and evaluation for the diabetic foot.

Plantar shear stress may have an important role in the formation of a Diabetic Foot Ulcer, but its measurement is regarded as challenging and has limited research. This paper highlights the importance of anatomical specific shear sensor calibration and presents a feasibility study of a novel shear sensing system which has measured in-shoe shear stress from gait activity on both healthy and diabetic subjects. The sensing insole was based on a strain gauge array embedded in a silicone insole backed with a commercial normal pressure sensor. Sensor calibration factors were investigated using a custom mechanical test rig with indenter to exert both normal and shear forces. Indenter size and location were varied to investigate the importance of both loading area and position on measurement accuracy. The sensing insole, coupled with the calibration procedure, was tested one participant with diabetes and one healthy participant during two sessions of 15 minutes of treadmill walking. Calibration with different indenter areas (from 78.5 mm2 to 707 mm2) and different positions (up to 40 mm from sensor centre) showed variation in measurements of up to 80% and 90% respectively. Shear sensing results demonstrated high repeatability (>97%) and good accuracy (mean absolute error < ±18 kPa) in bench top mechanical tests and less than 21% variability within walking of 15-minutes duration. The results indicate the importance of mechanical coupling between embedded shear sensors and insole materials. It also highlights the importance of using an appropriate calibration method to ensure accurate shear stress measurement. The novel shear stress measurement system presented in this paper, demonstrates a viable method to measure accurate and repeatable in-shoe shear stress using the calibration procedure described. The validation and calibration methods outlined in this paper could be utilised as a standardised approach for the research community to develop and validate similar measurement technologies.

[New perspectives of management of the diabetic foot]. / Nouvelles perspectives de prise en charge du pied diabétique.

Diabetic foot syndrome is one of the most serious complications of diabetes, with a 5-year mortality of around 50 %. This essential public health problem has a mortality rate higher than the average range of cancer (31 % at 5 years). The development of multidisciplinary teams plays a central role in reducing the number of major amputations and controlling treatment costs. The new recommendations make it possible to structure the management of ulcers by primary care providers (nurses, podiatrists, pharmacists, general practitioners, etc.) and they offer clear investigation and treatment plans for an increase of the healing rate and a reduction of the length of stay in hospital.

Le syndrome du pied diabétique est l'une des complications les plus graves du diabète, avec une mortalité à 5 ans avoisinant les 50 %. Ce problème de santé publique essentiel présente une létalité supérieure à la moyenne des cancers (31 % à 5 ans). Le développement d'équipes multidisciplinaires joue un rôle central dans la réduction du nombre d'amputations majeures et dans le contrôle des coûts des traitements. Les nouvelles recommandations permettent de structurer la prise en charge des ulcères par les intervenants de premier recours (infirmières, podologues, pharmaciens, médecins généralistes, etc.) et elles offrent des plans d'investigation et de traitement clairs pour une augmentation du taux de guérison et une réduction de la durée d'hospitalisation.

Biomarkers of local inflammation at the skin's surface may predict both pressure and diabetic foot ulcers.

This commentary considers the similarities which exist between pressure ulcers (PUs) and diabetic foot ulcers (DFUs). It aims to describe what is known to be shared-both in theory and practice-by these wound types. It goes on to detail the literature surrounding the role of inflammation in both wound types. PUs occur following prolonged exposure to pressure or pressure in conjunction with shear, either due to impaired mobility or medical devices. As a result, inflammation occurs, causing cell damage. While DFUs are not associated with immobility, they are associated with altered mobility occurring as a result of complications of diabetes. The incidence and prevalence of both types of lesions are increased in the presence of multimorbidity. The prediction of either type of ulceration is challenging. Current risk assessment practices are reported to be ineffective at predicting when ulceration will occur. While systemic inflammation is easily measured, the presence of local or subclinical inflammation is harder to discern. In patients at risk of either DFUs or PUs, clinical signs and symptoms of inflammation may be masked, and systemic biomarkers of inflammation may not be elevated sufficiently to predict imminent damage until ulceration appears. The current literature suggests that the use of local biomarkers of inflammation at the skin's surface, namely oedema and temperature, may identify early tissue damage.

Effectiveness of screening for foot complications in people with diabetes - A systematic review.

BACKGROUND: A quarter of people with diabetes develop foot ulcer in their lifetime and are six times more likely to require a major lower limb amputation compared to the general population. Risk stratification tools can reliably identify those at the highest risk of ulceration, but it remains unclear if screening for foot complications can prevent limb loss in people with diabetes. AIMS: The aim of this systematic review was to determine whether population-based foot screening in people with diabetes reduces lower limb complications as assessed by development of foot ulceration, minor and major lower limb amputations, hospitalisation, or death. METHODS: MEDLINE, Embase, Emcare and CINAHL databases were searched to identify randomised and non-randomised controlled trials and observational studies (cohort, case-control and cross-sectional surveys). The screening process, study quality assessment and data extraction were performed by two independent reviewers. RESULTS: Following abstract screening and assessment for eligibility, five out of 10,771 identified studies were included in the analysis. Of these studies, one demonstrated 24 % reduction in development of new ulceration following introduction of screening. Major amputations decreased by between 17 and 96 % in three studies. Hospitalisation rates were contradictory, with one study showing doubling in hospital admissions and another one reduction by 33 %. One study demonstrated no impact of screening on minor or major amputation rates. None of the studies addressed the effect of foot screening on all-cause mortality. CONCLUSIONS: The number and quality of studies to support population-based foot screening to prevent lower limb complications in people with diabetes is low. Current evidence suggests variable impact of screening on important clinical outcomes.

[Establishment and evaluation of a nomogram model for predicting the risk of sepsis in diabetic foot patients].

OBJECTIVE: To establish a nomogram model for predicting the risk of sepsis in diabetic foot patients, and to provide reference for clinical prevention and treatment. METHODS: The clinical data of 430 patients with diabetic foot who were hospitalized in Chu Hsien-I Memorial Hospital of Tianjin Medical University from January 2022 to March 2023 were reviewed and collected, including age, gender, past medical history, smoking and drinking history, family history, diabetes course, Texas grade of diabetic foot and laboratory indicators within 24 hours after admission. Patients were divided into sepsis group and non-sepsis group according to the presence or absence of sepsis during hospitalization. The differences in clinical data between the two groups were compared. Multivariate Logistic regression analysis was used to screen the influencing factors of sepsis in patients with diabetic foot during hospitalization, and a nomogram predictive model was established. The performance of the prediction model was evaluated by receiver operator characteristic curve (ROC curve), calibration curve and decision curve analysis (DCA). Internal validation was performed by using Bootstrap method. RESULTS: A total of 430 patients were enrolled, among which 90 patients developed sepsis during hospitalization and 340 patients did not. There were statistically significant differences in diabetes course, Texas grade of diabetic foot, white blood cell count (WBC), neutrophil count (NEU), lymphocyte count (LYM), neutrophil to lymphocyte ratio (NLR), hemoglobin (Hb), albumin (Alb), glycosylated hemoglobin (HbA1c), C-reactive protein (CRP), and blood urea nitrogen (BUN) between the two groups. Multivariate Logistic regression analysis showed that diabetes course [odds ratio (OR) = 2.774, 95% confidence interval (95%CI) was 1.053-7.308, P = 0.039], Texas grade of diabetic foot (OR = 2.312, 95%CI was 1.014-5.273, P = 0.046), WBC (OR = 1.160, 95%CI was 1.042-1.291, P = 0.007), HbA1c (OR = 1.510, 95%CI was 1.278-1.784, P < 0.001), CRP (OR = 1.007, 95%CI was 1.000-1.014, P = 0.036) were independent risk factors for sepsis in patients with diabetic foot during hospitalization, while Alb was a protective factor (OR = 0.885, 95%CI was 0.805-0.972, P = 0.011). A nomogram predictive model was constructed based on the above 6 indicators. The ROC curve showed that the area under ROC curve (AUC) of the nomogram predictive model for identifying the sepsis patients was 0.919 (95%CI was 0.889-0.948). The AUC of the nomogram predictive model after internal verification was 0.918 (95%CI was 0.887-0.946). Hosmer-Lemeshow test showed χ 2 = 2.978, P = 0.936, indicating that the calibration degree of the predictive model was good. Calibration curve showed that the predicted probability of sepsis was in good agreement with the actual probability. DCA curve showed that the nomogram predictive model had good clinical usefulness. CONCLUSIONS: The nomogram predictive model based on the risk factors of diabetes course, Texas grade of diabetic foot, WBC, HbA1c, CRP and Alb has good predictive value for the occurrence of sepsis in patients with diabetic foot during hospitalization, which is helpful for clinical screening of the possibility of diabetic foot patients progressing to sepsis, and timely personalized intervention for different patients.

A Rare Case of Solitary Neurofibroma Misdiagnosed as Diabetic Foot Ulcer in the Toe Tip Region.

Neurofibromas, rare benign tumors of the peripheral nerve sheath, present diagnostic challenges, particularly in diabetic patients with toe ulcers. This case involves a 55-year-old female with type 2 diabetes mellitus who developed an enlarging ulcer on her right second toe. The initial evaluation suggested a diabetic ulcer; however, advanced imaging revealed a mass-like lesion. Partial excision and biopsy confirmed a neurofibroma with spindle cells within the myxoid stroma and S100 protein expression. One month later, total excision and Z-plasty reconstruction were performed under general anesthesia. The patient's postoperative recovery was uneventful, and the patient was discharged without complications. Follow-up revealed successful healing with no recurrence or functional issues. This case highlights the importance of considering neurofibromas in the differential diagnosis of diabetic toe ulcers to avoid misdiagnosis and ensure appropriate management.

Early screening for foot problems in people with diabetes is the need of the hour: 'Save the Feet and Keep Walking Campaign' in India.

INTRODUCTION: Evidence on the prevalence of foot problems among people with diabetes in India at a national level is lacking. Hence, this study was aimed to assess the burden of high-risk (HR) feet in people with diabetes across India. RESEARCH DESIGN AND METHODS: A cross-sectional national-level project 'Save the Feet and Keep Walking' campaign was conducted by the Research Society for the Study of Diabetes in India (RSSDI) from July 10, 2022 to August 10, 2022. A modified version of 3 min foot examination was used to assess the foot problems. Around 10 000 doctors with RSSDI membership were trained online to conduct foot screening and provided a standardised monofilament for detection of loss of protective sensation. People with diabetes aged >18 years who visited the clinics during the study period were examined for foot problems. Data were collected online using the semi-structured questionnaire. A total of 33 259 participants with complete information were included for the final analysis. The foot at risk was categorised based on International Working Group on the Diabetic Foot guidelines 2023. RESULTS: Nearly 75% of the participants were aged above 45 years. Around 49% had diabetes duration >5 years and uncontrolled diabetes (hemoglobin A1c >8%). Presence of history of foot ulcer (20%), lower limb amputation (15.3%), foot deformities (24.5%) and absence of diminished dorsal pedis and posterior tibial pulses (26.4%) was noted in the study participants. Around 25.2% of them had HR feet and highly prevalent among males. Diabetic kidney and retinal complications were present in 70% and 75.5% of people with HR feet. Presence of heel fissures (OR (95% CI) 4.6 (4.2 to 5.1)) and callus or corns (OR (95% CI) 3.6 (3.3 to 4.0)) were significantly associated with HR feet. CONCLUSIONS: One-fourth of people with diabetes were found to have HR feet in India. The findings are suggestive of regular screening of people with diabetes for foot problems and strengthening of primary healthcare.

Identification of CGNL1 as a diagnostic marker in fibroblasts of diabetic foot ulcers: Insights from single cell RNA sequencing and bulk sequencing data.

OBJECTIVES: This study aimed to explore the unique transcriptional feature of fibroblasts subtypes and the role of ferroptosis in diabetic foot ulcers (DFUs). METHODS: The GEO (Gene Expression Omnibus) was searched to obtain the DFUs single-cell and transcriptional datasets. After identifying cell types by classic marker genes, the integrated single-cell dataset was used to run trajectory inference, RNA velocity, and ligand-receptor interaction analysis. Next, bulk RNA-seq datasets of DFUs were analyzed to the key ferroptosis genes. RESULTS: Here, we profile 83529 single transcriptomes from the foot samples utilizing single-cell sequencing (scRNA-seq) data of DFU from GEO database and identified 12 cell types, with fibroblasts exhibiting elevated levels of ferroptosis activity and substantial cellular heterogeneity. Our results defined six main fibroblast subsets that showed mesenchymal, secretory-reticular, secretory-papillary, pro-inflammatory, myogenesis, and healing-enriched functional annotations. Trajectory inference and cell-cell communication analysis revealed two major cell fates with subpopulations of fibroblasts and altered ligand-receptor interactions. Bulk RNA sequencing data identified CGNL1 as a distinctive diagnostic signature in fibroblasts. Notably, CGNL1 positively correlated with pro-inflammatory fibroblasts. CONCLUSIONS: Overall, our analysis delineated the heterogeneity present in cell populations of DFUs, showing distinct fibroblast subtypes characterized by their own unique transcriptional features and enrichment functions. Our study will help us better understand DFUs pathogenesis and identifies CGNL1 as a potential target for DFUs therapies.

A Knitted and MXenzyme-Integrated Dressing for Geriatrics Diagnosis and Ulcer Healing.

Integrated diagnostic and therapeutic dressings are desirable to relieve diabetic patients who often suffer from diabetic foot ulcers (DFUs) and peripheral vascular diseases (PVDs). However, it is highly difficult to monitor the pulse waves with fidelity under wet environments and connect the waveforms to diseases through a small strain sensor. Additionally, immobilizing MXenzyme to regulate spatially heterogeneous levels of reactive oxygen species (ROS) and applying active intervention to enhance ulcer healing on a single structure remain a complex task. To address these issues, we designed a multiscale wearable dressing comprising a knitted all-textile sensing array for quantitatively investigating the pulse wave toward PVD diagnosis. MXenzyme was loaded onto the dressing to provide multiple enzyme mimics for anti-inflammatory activities and deliver electrical stimulation to promote wound growth. In mice, we demonstrate that high and uniform expression of the vascular endothelial growth factor (VEGF) is observed only in the group undergoing dual mediation with electrical stimulation and MXenzyme. This observation indicates that the engineered wound dressing has the capability to accelerate healing in DFU. In human patient evaluations, the engineered dressing distinguishes vascular compliance and pulse period, enabling the diagnosis of arteriosclerosis and return blockage, two typical PVDs. The designed and engineered multiscale dressing achieves the purpose of integrating diagnostic peripheral vessel health monitoring and ulcer healing therapeutics for satisfying the practical clinical requirements of geriatric patients.

Development and validation of a new questionnaire for the assessment of patients with diabetic foot disease: The Diabetic Foot Questionnaire (DiaFootQ).

BACKGROUND: The epidemiology data and global burden of diabetic foot disease underscores the need for effective prevention strategies, which requires an early diagnosis. Patient-reported outcome measures are instruments based on a simple format, which favours their application. Currently, there is an absence of instruments with a broad enough scope to capture the diverse aspects involved in diabetic foot disease. OBJECTIVES: To develop a questionnaire for the assessment of patients with diabetic foot disease and carry out an analysis of its validity and reliability. METHODS: The study was developed in two stages. Stage 1: the Delphi Panel was composed of 22 experts. The questionnaire is made up of 25 questions selected, after three rounds, from an initial sample of 68 questions. Stage 2: A validation study was performed. With a sample of 273 subjects, an exploratory factor analysis and an analysis of internal consistency, items response, and validity were carried out using the Diabetes Quality of Life, SF-12v2, Foot Function Index and EuroQol EQ5D questionnaires. Measurements of error and sensitivity to change were also analyzed. RESULTS: A 25-item questionnaire (DiaFootQ) was developed. It comprised two dimensions: 1) lifestyle and function; and 2) footwear and foot self-care. Sample (n=273) mean age was 69.77 years (±11.08). The internal consistency of DiafootQ was α=0.916, and item response values were ICC=0.862-0.998. External validity correlation levels ranged from r=0.386 to r=0.888. CONCLUSION: DiaFootQ was developed. Integrating the main aspects involved in diabetic foot disease could help to detect more accurately the risk or severity of these patients. DiaFootQ is a well-structured, valid, and reliable tool whose use should be promoted in clinical and research settings.

Current Opinion on Diagnosis of Peripheral Artery Disease in Diabetic Patients.

Peripheral arterial disease (PAD) prevalence and diabetes mellitus (DM) prevalence are continuously increasing worldwide. The strong relationship between DM and PAD is highlighted by recent evidence. PAD diagnosis in diabetic patients is very important, particularly in patients with diabetic foot disease (DFD); however, it is often made difficult by the characteristics of such diseases. Diagnosing PAD makes it possible to identify patients at a very high cardiovascular risk who require intensive treatment in terms of risk factor modification and medical therapy. The purpose of this review is to discuss the diagnostic methods that allow for a diagnosis of PAD in diabetic patients. Non-invasive tests that address PAD diagnosis will be discussed, such as the ankle-brachial index (ABI), toe pressure (TP), and transcutaneous oxygen pressure (TcPO2). Furthermore, imaging methods, such as duplex ultrasound (DUS), computed tomography angiography (CTA), magnetic resonance angiography (MRA), and digital subtraction angiography (DSA), are described because they allow for diagnosing the anatomical localization and severity of artery stenosis or occlusion in PAD. Non-invasive tests will also be discussed in terms of their ability to assess foot perfusion. Foot perfusion assessment is crucial in the diagnosis of critical limb ischemia (CLI), the most advanced PAD stage, particularly in DFD patients. The impacts of PAD diagnosis and CLI identification in diabetic patients are clinically relevant to prevent amputation and mortality.

Diabetic Foot Ulcers in Geriatric Patients.

Care for the patient with diabetic foot ulcers (DFUs) entails understanding the epidemiology, pathophysiology, and a systematic approach to diagnosis and treatment. The authors will review elements of DFU in geriatric patients including the pathophysiology of diabetes, epidemiology and management of DFU in the context of developing a Plan for Healing. The authors will discuss comprehensive principles of a Plan for Healing, which applies to all aspects of chronic wounds.

Reviewing recommendations from the IWGDF 2023 guidelines on the diagnosis and treatment of active Charcot neuro-osteoarthropathy: highlighting the role of temperature monitoring with illustrative case reports.

The International Working Group on the Diabetic Foot (IWGDF) has consistently published evidence-based guideline recommendations on the prevention and management of diabetes-related foot complications. In 2023, the group published their first guidelines on the diagnosis and treatment of Charcot neuro-osteoarthropathy (CNO) in persons with diabetes. The guidelines highlight 26 recommendations based on 4 categories: diagnosis, identification of remission, treatment, and prevention of re-activation. As reviewed in the guidelines, there are 2 recommendations suggesting the use of temperature assessment and monitoring as a tool for management of patients with CNO. Utilizing the systematic review and the GRADE system of evaluation, the authors deemed the level of evidence around temperature monitoring and Charcot to be low with a conditional recommendation for use. The purpose of this manuscript is to summarize the IWGDF guidelines while highlighting the role of foot temperature monitoring. Several case examples are given to illustrate the use of temperature monitoring in patients with CNO. Until there are guidelines determining active vs quiescent CNO, skin temperature monitoring can be a fast, easy-to-use, and effective tool for the clinician.

Performance of risk prediction models for diabetic foot ulcer: a meta-analysis.

Background: The number of prediction models for diabetic foot ulcer (DFU) risk is increasing, but their methodological quality and clinical applicability are uncertain. We conducted a systematic review to assess their performance. Methods: We searched PubMed, Cochrane Library, and Embase databases up to 10 February 2024 and extracted relevant information from selected prediction models. The Prediction model Risk Of Bias ASsessment Tool (PROBAST) checklist was used to assess bias risk and applicability. All statistical analyses were conducted in Stata 14.0. Results: Initially, 13,562 studies were retrieved, leading to the inclusion of five development and five validation models from eight studies. DFU incidence ranged from 6% to 16.8%, with age and hemoglobin A1C (HbA1c) commonly used as predictive factors. All included studies had a high risk of bias, mainly due to disparities in population characteristics and methodology. In the meta-analysis, we observed area under the curve (AUC) values of 0.78 (95% CI [0.69-0.89]) for development models and 0.84 (95% CI [0.79-0.90]) for validation models. Conclusion: DFU risk prediction models show good overall accuracy, but there is a risk of bias. Adherence to the PROBAST checklist is crucial for improving their clinical applicability.

Associations of phosphorus concentrations with medial arterial calcification in lower-extremity arteries and diabetic foot in people with diabetes: a retrospective cross-sectional study.

BACKGROUND: The aim of this study was to investigate the associations of blood phosphorus levels with the risk of developing medial arterial calcification (MAC) in lower-limb arteries and diabetic foot (DF) in diabetes patients. We sought to enhance the understanding of the pathophysiology of diabetic complications and develop strategies to mitigate diabetes-related risks. METHODS: We conducted a retrospective analysis of 701 diabetic patients from the Department of Endocrinology at Sun Yat-Sen Memorial Hospital (2019-2023). We utilized multimodel-adjusted logistic regression to investigate the associations of serum phosphorus levels and the risk of developing MAC and DF. Restricted cubic spline plots were employed to model the relationships, and threshold analysis was used to identify inflection points. Subgroup analyses were performed to explore variations across different demographics. The diagnostic utility of phosphorus concentrations was assessed via the C index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS: Of the 701 patients (mean age 63.9 years; 401 (57.20%) were male), 333 (47.50%) had MAC, and 329 (46.93%) had DF. After controlling for numerous confounding variables, each one-unit increase in phosphorus concentrations was associated with an increased risk of developing MAC (OR 2.65, 95% CI 1.97-3.57, p < 0.001) and DF (OR 1.54, 95% CI 1.09-2.18, p = 0.014). Phosphorus levels demonstrated a linear risk association, with risk not being uniform on either side of the inflection point, which was approximately 3.28 mg/dL for MAC and varied for DF (3.26 to 3.81 mg/dL). Adding the phosphorus as an independent component to the diagnostic model for MAC and DF increased the C index, NRI, and IDI to varying degrees. CONCLUSIONS: Elevated serum phosphorus levels are significantly associated with an increased risk of developing MAC and DF among diabetic people. These findings suggest that phosphorus management could be integrated into routine diagnostic processes to improve the identification and management of lower-extremity diabetic complications.

The diabetic sausage toe: Prevalence, presentation and outcomes.

Osteomyelitis (OM) in diabetic foot infection could have many presentations such as an infected ulcer spreading to the bone or superimposed to Charcot neuroarthropathy. However, the sausage toe as a diabetic OM presentation was very rarely investigated; therefore, this study aims to assess the prevalence and signs of this presentation along with treatment modalities and outcomes. This is a retrospective series of patients presenting a sausage toe on admission. Several methods were conducted to diagnose OM, and three treatment modalities were applied. Two groups were compared: acute and chronic sausage toes. Outcomes were defined as sausage toe prevalence, ulcer location, OM prevalence, and comparative treatment results. Out of 82 diabetic toe infection cases, 24 (30%) presented as 'sausage toe'. The side of the proximal interphalangeal joint of the lateral toes was the most frequent ulcer location (50%), mostly on the dorsal aspect followed by the side aspect. There were 15 (62.5%) acute cases and 9 (37.5%) chronic cases. MRI showed signs of OM in 21 (87.5%) cases and signs of septic arthritis in 3 (12.5%) cases. At the final follow-up, a successful treatment was recorded in five (20%) cases with antibiotics alone. Out of the 19 (42%) procedures, conservative surgery was performed successfully in 8 (58%) cases while amputation was needed in 11 (45.8%) cases. There was no significant difference in amputation frequency between acute and chronic groups. This is the first study documenting the sausage toe as a prevalent presentation of diabetic toe infection. The deformity is conclusive of deep infection with a very high osteomyelitis frequency. Surgery is often required for infection control and healing, mainly for chronic cases, and treatment outcomes did not differ between acute and chronic sausage toe groups. It could be beneficial to include this entity in the diabetic wound classification systems.

The impact of diabetes mellitus on foot perfusion measured by ICG NIR fluorescence imaging.

INTRODUCTION: Diabetes Mellitus (DM) is a common chronic disease, affecting 435 million people globally. Impaired vasculature in DM patients leads to complications like lower extremity arterial disease (LEAD) and foot ulcers, often resulting in amputations. DM causes additional peripheral neuropathy leading to multifactorial wound problems. Current diagnostics often deem unreliable, but Near-Infrared Fluorescence with Indocyanine Green (ICG NIR) can be used to assess the foot perfusion. Therefore, this study explores DM's impact on foot perfusion using ICG NIR. METHODS: Baseline ICG NIR fluorescence imaging was performed in LEAD patients with and without DM. Ten perfusion parameters were extracted and analyzed to assess differences in perfusion patterns. RESULTS: Among 109 patients (122 limbs) of the included patients, 32.8 % had DM. Six of ten perfusion parameters, mainly inflow-related, differed significantly between DM and non-DM patients (p-values 0.007-0.039). Fontaine stage 4 DM patients had the highest in- and outflow values, with seven parameters significantly higher (p-values 0.004-0.035). CONCLUSION: DM is associated with increased in- and outflow parameters. Patients with- and without DM should not be compared directly due to different vascular pathophysiology and multifactorial wound problems in DM patients. Quantified ICG NIR fluorescence imaging offers additional insight into the effect of DM on foot perfusion.

Charcot neuroarthropathy in diabetic patients in Texas.

AIMS: Charcot neuroarthropathy (CN) is a complex disease of the bone and joints that can lead to serious and life-threatening complications. This study investigates epidemiologic trends in diabetic CN in Texas and the impact of age on these values. METHODS: A retrospective analysis was conducted using the Texas Department of State Health Services Hospital Discharge Data Public Use Data File. Using International Classification of Diseases, Ninth (ICD-9) and Tenth (ICD-10) Revision codes, we identified patients with diabetes and Charcot ankle or foot. Data extracted included diagnoses, race, and gender. Population rates were estimated using census data, calculated per 1000 population and standardized by age. RESULTS: Overall and age-standardized rates of CN increased each year from 2006 to 2016, except for a downward trend from 2014 to 2016. Poisson regression revealed significant increases in the incidence rate ratio compared to 2006 for each year from 2008 to 2016. When age group is included, all years except 2007 show a significant increase relative to 2006, and all age groups have increased rates relative to ages 18-44. Major and minor amputations in patients with CN have increased. CONCLUSIONS: The increasing rates of CN and amputations highlight the need for further research and standardized strategies for diagnosis and management.