Structural, Dermal and Ungual Characteristics of the Foot in Patients with Type II Diabetes

Foot health and quality of life in women with breast cancer undergoing chemotherapy: a cross-sectional study

BACKGROUND

Chemotherapy is one of the most widely used therapies for breast cancer, triggering important repercussions on people's quality of life. However, little research has been undertaken about podiatric adverse effects. This study aimed was to determine the prevalence of podiatric pathology developed in people with breast cancer who receive chemotherapy.

METHODS

Observational, descriptive, and cross-sectional study was conducted in the Oncology service of the A Coruña University Hospital (northwest Spain). People with breast cancer and undergoing chemotherapy treatment of legal age (≥ 18), who signed the informed consent (n = 117) were included. Sociodemographic, comorbidity, disease and foot health variables, as well as two self-administered questionnaires (Foot Health Status Questionnaire and Foot Function Index) were studied. The current ethical-legal aspects were followed.

RESULTS

Foot health problems were highly prevalent, highlighting nail color changes (59.8%), onychocryptosis (39.7%), xerosis (62.4%), plantar fasciitis (12.8%), and neuropathic symptoms (75.2%). Some foot pain was presented in 77.8% of the sample, predominantly at nail level (15.4%) or sole of the foot and nail (14.5%). Most participants described their foot health as fair or poor (56.4%) and felt limited in walking (65.8%). The lowest score for the Foot Health Status Questionnaire was footwear (30.6(33.5)).

CONCLUSIONS

Foot health adverse effects represent worrisome problems in women with breast cancer undergoing chemotherapy, due to their high prevalence and negative implications on quality of life. These problems are critical as they may have implications for stopping or reducing chemotherapy. All these results call for the development of more research to contribute to the care and wellbeing of people with cancer who receive treatments such as chemotherapy. Thus, this line of research is a new path to be developed by the podiatry community.

Development and Validation of a Risk Prediction Model for Foot Ulcers in Diabetic Patients

BACKGROUND

The current study analyzed the status and the factors of foot ulcers in diabetic patients and developed a nomogram and web calculator for the risk prediction model of diabetic foot ulcers.

METHODS

This was a prospective cohort study that used cluster sampling to enroll diabetic patients in the Department of Endocrinology and Metabolism in a tertiary hospital in Chengdu from July 2015 to February 2020. The risk factors for diabetic foot ulcers were obtained by logistic regression analysis. Nomogram and web calculator for the risk prediction model were constructed by R software.

RESULTS

The incidence of foot ulcers was 12.4% (302/2432). Logistic stepwise regression analysis showed that BMI (OR: 1.059; 95% CI 1.021-1.099), abnormal foot skin color (OR: 1.450; 95% CI 1.011-2.080), foot arterial pulse (OR: 1.488; 95% CI: 1.242-1.778), callus (OR: 2.924; 95%: CI 2.133-4.001), and history of ulcer (OR: 3.648; 95% CI: 2.133-5.191) were risk factors for foot ulcers. The nomogram and web calculator model were developed according to risk predictors. The performance of the model was tested, and the testing data were as follows: AUC (area under curve) of the primary cohort was 0.741 (95% CI: 0.7022-0.7799), and AUC of the validation cohort was 0.787 (95% CI: 0.7342-0.8407); the Brier score of the primary cohort was 0.098, and the Brier score of the validation cohort was 0.087.

CONCLUSIONS

The incidence of diabetic foot ulcers was high, especially in diabetic patients with a history of foot ulcers. This study presented a nomogram and web calculator that incorporates BMI, abnormal foot skin color, foot arterial pulse, callus, and history of foot ulcers, which can be conveniently used to facilitate the individualized prediction of diabetic foot ulcers.

Concordance between Pressure Platform and Pedigraph

Objectives: Determine the concordance between two methods of obtaining the plantar footprint (pedigraph and pressure platform). Methods: A descriptive, cross-sectional, observational study of prevalence was carried out in the social center of Cariño (Coruña), Spain (n = 65 participants). Older people without amputations or the presence of dysmetria were included. The variables studied were: sociodemographic (age, sex), anthropometric (body mass index) and footprint measurement variables. These measurements were made by obtaining the plantar footprint using two methods: pedigraph and pressure platform. Results: The mean age of the sample was 37.42 ± 15.05 years, with a predominance of the female gender (61.54%). Positive linear correlation between pedigraph and platform was observed in both feet in the Chippaux and Staheli indices (correlation coefficient > 0.3, p < 0.001 in each comparison). The reliability was good or moderate in relation with the Chippaux and Staheli index. Slightly lower coefficients were observed in the dimensions of the foot. Conclusions: A positive linear correlation between pedigraph and platform was observed in both feet in the Chippaux and Staheli indices. Significant differences were observed between pedigraph and platform in relation to the width and length of the foot. It is probably due to the fact that the pressure platform provides more exhaustive, detailed and accurate information of the foot.

Percussion Entropy Analysis of Synchronized ECG and PPG Signals as a Prognostic Indicator for Future Peripheral Neuropathy in Type 2 Diabetic Subjects

Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications of diabetes. It has become an essential public health crisis, especially for care in the home. Synchronized electrocardiogram (ECG) and photoplethysmography (PPG) signals were obtained from healthy non-diabetic (n = 37) and diabetic (n = 85) subjects without peripheral neuropathy, recruited from the diabetic outpatient clinic. The conventional parameters, including low-/high-frequency power ratio (LHR), small-scale multiscale entropy index (MEI_SS), large-scale multiscale entropy index (MEI_LS), electrocardiogram-based pulse wave velocity (PWV_mean), and percussion entropy index (PEI), were computed as baseline and were then followed for six years after the initial PEI measurement. Three new diabetic subgroups with different PEI values were identified for the goodness-of-fit test and Cox proportional Hazards model for relative risks analysis. Finally, Cox regression analysis showed that the PEI value was significantly and independently associated with the risk of developing DPN after adjustment for some traditional risk factors for diabetes (relative risks = 4.77, 95% confidence interval = 1.87 to 6.31, p = 0.015). These findings suggest that the PEI is an important risk parameter for new-onset DPN as a result of a chronic complication of diabetes and, thus, a smaller PEI value can provide valid information that may help identify type 2 diabetic patients at a greater risk of future DPN.