Plantar pressure alterations associated with increased BMI in young adults

Assessment of the diabetic foot in inpatients

Diabetic foot disease is a severe complication of diabetes, leading to significant morbidity and lower limb amputations. This review explores the pathophysiology of diabetic foot disease, highlighting the roles of peripheral neuropathy, peripheral arterial disease and immunosuppression in the development of foot ulcers and infections. Key intrinsic and extrinsic risk factors, including long-standing diabetes, poor glycaemic control, inappropriate footwear and trauma are discussed. The importance of comprehensive diabetic foot assessments using diagnostic tools such as the Ipswich Touch Test and Doppler studies is emphasised for early detection and management. Challenges such as delays in referral to specialist care, limited access to multidisciplinary foot teams, and staffing shortages are identified as critical barriers to effective care. The review builds upon extant literature by integrating the most recent evidence, including the 2023 guidelines from the International Working Group on the Diabetic Foot. It emphasises practical application, detailed referral pathways and multidisciplinary care strategies, offering updated tools and insights to improve clinical outcomes and address the often overlooked aspects within inpatient services. Future directions encompass advances in imaging, telemedicine and patient education, which may further optimise preventive and therapeutic strategies for diabetic foot disease.

Paradoxıcal effect of body mass index ranges on pedobarographic evaluatıon

Although there is evidence suggesting that obesity alters plantar pressure distribution, the specific effects of certain body mass index (BMI) ranges on pedobarographic measures in healty individuals has been poorly investigated. A cross-sectional study with 167 healthy participants was conducted to assess plantar pressure changes across 4 BMI ranges: Under/normal weight (NW), overweight (OW), obese (OB), severe obese (SO). Subjects walked on the Footscan® pressure plate at a self-selected speed, and peak plantar pressure (PPP), load rate, and contact area values were recorded. The foot was divided into 10 zones: hallux (T1), toes 2-5 (T2-5), metatarsals 1-5 (M1-M5), midfoot (MF), medial hindfoot (MH) and lateral hindfoot (LH). PPP underneath M2-M4 was lowest in the NW group (p = 0.011), and although PPP values for the SO group were lower than those for the OW and OB groups, these differences were not statistically significant. Load rate values of M2-M3 were lower in both the NW and SO groups (p = 0.008) compared to the OW and OB groups. In addition, the metatarsal load rate values for the SO group were generally lower than those for the NW group. The total metatarsal contact area of both the NW and SO groups was lower (p = 0.019) than that of the OW and OB groups in both feet. These findings suggest that as BMI increases, PPP, load rate, and contact area in the middle metatarsal region initially increase, stabilize early in obesity, and then decrease at advanced stages, indicating a shift of the load to the midfoot.

Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review

Beyond qualitative assessment, gait analysis involves the quantitative evaluation of various parameters such as joint kinematics, spatiotemporal metrics, external forces, and muscle activation patterns and forces. Utilizing multibody dynamics-based musculoskeletal (MSK) modeling provides a time and cost-effective non-invasive tool for the prediction of internal joint and muscle forces. Recent advancements in the development of biofidelic MSK models have facilitated their integration into clinical decision-making processes, including quantitative diagnostics, functional assessment of prosthesis and implants, and devising data-driven gait rehabilitation protocols. Through an extensive search and meta-analysis of over 116 studies, this PRISMA-based systematic review provides a comprehensive overview of different existing multibody MSK modeling platforms, including generic templates, methods for personalization to individual subjects, and the solutions used to address statically indeterminate problems. Additionally, it summarizes post-processing techniques and the practical applications of MSK modeling tools. In the field of biomechanics, MSK modeling provides an indispensable tool for simulating and understanding human movement dynamics. However, limitations which remain elusive include the absence of MSK modeling templates based on female anatomy underscores the need for further advancements in this area.

Exploration of predictive risk factors for diabetic foot in patients with diabetes in Beijing: analysis of 5-year follow-up data of patients with diabetes mellitus in a single center in Beijing

Background

Large-scale prospective cohort studies on diabetic foot ulcers risk factor screening in China are limited. Therefore, this prospective cohort study aimed to explore the predictive risk factors for diabetic foot ulcers to provide clinicians with concise and effective clinical indicators for identifying a high-risk diabetic foot and guiding the prevention of diabetic foot ulcers.

Methods

Patients with diabetes who visited the Department of Endocrinology of Peking University First Hospital from October 2017 to December 2018 were selected as research participants by convenience sampling. A total of 968 patients were included. After enrollment, a dedicated person collected and recorded all baseline data. A dedicated telephone follow-up was conducted every 12-24 months to evaluate whether the endpoint event had occurred. All patients were followed up for an average of 61 (57-71) months, with 95% of them followed up for more than 60 months. According to the occurrence of endpoint events, they were divided into the DFU and non-DFU groups. The data between the two groups were analyzed using independent-sample t-test, Wilcoxon rank sum test, and chi square test. We used univariate and multivariate logistic regression analysis to analyze the factors that affected the occurrence of diabetic foot ulcers.

Results and conclusions

After the 5-year follow-up, the incidence of diabetic foot was 25.83%. Multivariate logistic regression analysis revealed that body mass index (odds ratio: 1.046; 95% confidence interval: 1.001-1.093), abnormal pinprick sensation (odds ratio: 4.138; 95% confidence interval: 1.292-13.255), history of fungal foot infection (odds ratio: 2.287; 95% confidence interval: 1.517-3.448), abnormal 128-Hz tuning fork test (odds ratio: 2.628; 95% confidence interval: 1.098-6.294), and HbA1c≥ 8% (odds ratio: 1.522; 95% confidence interval: 1.014-2.284) were independent predictors of diabetic foot. Our study highlights clinically relevant indicators that may help to prevent the occurrence of diabetic foot and guide timely interventions.

Effect of Anthropometry on Plantar Pressure Distribution during Gait in Overweight Male Subjects

Traditionally, research on plantar pressure in overweight/obese populations has predominantly focused on dividing the plantar surface into two or three regions, considering factors such as body mass index (BMI), age, and gender. This study took a more comprehensive approach, incorporating various anthropometric measurements representing body shape, including arm, leg, and shoulder lengths, as well as thigh, chest, waist, hip, and ankle circumferences. Utilizing retrospective data from overweight but healthy male subjects, the study yielded results revealing robust correlations with Euclidean measurements, circumferential measurements, and circumferential ratios. Interestingly, while no significant correlations were found between peak plantar pressure magnitude and location with BMI, significant correlations were seen with lower arm length (-0.73), shoulder length (0.69), ankle circumference (0.69), thigh circumference (0.66 and 0.68). Incorporating ratios that combined multiple measurements showed promise, with correlation coefficients exceeding 0.7. These findings suggest that a comprehensive plantar pressure analysis should not solely rely on BMI but rather include a thorough examination of subject anthropometry. The results also shed light on the feasibility of developing an index for predicting plantar pressure characteristics based on anthropometric data. Further research and expanded datasets are crucial for refining and validating these findings.

Design of Double Conductive Layer and Grid-Assistant Face-to-Face Structure for Wide Linear Range, High Sensitivity Flexible Pressure Sensors

Recently, flexible pressure sensors have drawn great attention because of their potential application in human-machine interfaces, healthcare monitoring, electronic skin, etc. Although many sensors with good performance have been reported, researchers mostly focused on surface morphology regulation, and the effect of the resistance characteristics on the performance of the sensor was still rarely systematically investigated. In this paper, a strategy for modulating electron transport is proposed to adjust the linear range and sensitivity of the sensor. In the modulating process, we constructed a double conductive layer (DCL) and grid-assistant face-to-face structure and obtained the sensor with a wide linear range of 0-700 kPa and a high sensitivity of 57.5 kPa-1, which is one of the best results for piezoresistive sensors. In contrast, the sensor with a single conductive layer (SCL) and simple face-to-face structure exhibited a moderate linear range (7 kPa) and sensitivity (2.8 kPa-1). Benefiting from the great performance, the modulated sensor allows for clear pulse wave detection and good recognition of gait signals, which indicates the great application potential in human daily life.