Development and Validation of the Healthcare-Seeking Intention Questionnaire in Patients with Diabetic High-Risk Foot.

Objective: Timely screening and intervention can prevent the development of the diabetic foot. However, delayed visits to the clinic are common among diabetic foot patients. The study aimed to develop and validate a questionnaire to assess healthcare-seeking behavior among patients with diabetic high-risk foot.

Effectiveness of silver and iodine dressings on wound healing: a systematic review and meta-analysis.

Objective: To evaluate the effects of silver and iodine dressings on healing time, healing rate, exudate amount, pain and anti-infective efficacy.

Design: Systematic review and meta-analysis.

Data Sources: Databases including PubMed, Cochrane Library, Embase, Web of Science and CINAHL were surveyed up to May 2024.

Enhanced adsorption of phosphate by rice straw-based biochar prepared via metal impregnation and bio-template technology.

Phosphate removal from water through green, highly efficient technologies has received much attention. Biochar is an effective adsorbent for phosphate removal. However, adsorption capacity of phosphate on pristine rice straw-based biochar was not optimistic due to low anion exchange capacity.

Smart diabetic foot ulcer scoring system.

Current assessment methods for diabetic foot ulcers (DFUs) lack objectivity and consistency, posing a significant risk to diabetes patients, including the potential for amputations, highlighting the urgent need for improved diagnostic tools and care standards in the field. To address this issue, the objective of this study was to develop and evaluate the Smart Diabetic Foot Ulcer Scoring System, ScoreDFUNet, which incorporates artificial intelligence (AI) and image analysis techniques, aiming to enhance the precision and consistency of diabetic foot ulcer assessment. ScoreDFUNet demonstrates precise categorization of DFU images into "ulcer," "infection," "normal," and "gangrene" areas, achieving a noteworthy accuracy rate of 95.

Application of a Diabetic Foot Smart APP in the measurement of diabetic foot ulcers.

Aims: In the early stage, we developed an intelligent measurement APP for diabetic foot ulcers, named Diabetic Foot Smart APP. This study aimed to validate the APP in the measurement of ulcer area for diabetic foot ulcer (DFU).

Methods: We selected 150 DFU images to measure the ulcer areas using three assessment tools: the Smart APP software package, the ruler method, and the gold standard Image J software, and compared the measurement results and measurement time of the three tools.

The changes in iron ions concentration and organic matter composition during the surface microlayer membrane formation process in freshwater.

The surface microlayer membrane (SMM) is a complex and unique water body ecosystem. The SMM has a significant effect on water quality and the water ecological system. However, despite the long-lasting interest in the SMM formation process and its environmental effect mechanism in freshwater, studies on it are still scarce.

Gender differences in metabolic syndrome and its components in southern china using a healthy lifestyle index: a cross-sectional study.

Background: Lifestyle changes are important for the prevention and management of metabolic syndrome (MetS), but studies that focus on gender differences in the lifestyle risk factors of MetS are limited in China. This research aimed to generate a healthy lifestyle index (HLI) to assess the behavioral risk factors of MetS and its components, and to explore the gender differences in HLI score and other influencing factors of MetS.

Methods: A convenience sample of 532 outpatients were recruited from a general hospital in Changsha, China.

Screening behaviors for diabetic foot risk and their influencing factors among general practitioners: a cross-sectional study in Changsha, China.

Background: Diabetic foot is a serious complication of diabetes with a high disability and mortality rate, which can be prevented by early screening. General practitioners play an essential role in diabetic foot risk screening, yet the screening behaviors of general practitioners have rarely been studied in primary care settings. This study aimed to investigate foot risk screening behaviors and analyze their influencing factors among general practitioners.

A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.

Background: Diabetes mellitus (DM) is a chronic disease with hyperglycemia. If not treated in time, it may lead to lower limb amputation. At the initial stage, the detection of diabetes-related foot ulcer (DFU) is very difficult.

Construction and verification of an intelligent measurement model for diabetic foot ulcer.

Objectives: The measurement of diabetic foot ulcers is important for the success in diabetic foot ulcer management. At present, it lacks the accurate and convenient measurement tools in clinical. In recent years, artificial intelligence technology has demonstrated the potential application value in the field of image segmentation and recognition.

Integrated analysis of tRNA-derived small RNAs reveals new therapeutic genes of hyperbaric oxygen in diabetic foot ulcers.

To reveal the alterations of tRNA-derived small RNA (tsRNA) expression profiles induced by hyperbaric oxygen (HBO) treatment in diabetic foot ulcers (DFUs) and investigate new therapeutic targets. tsRNA sequencing was employed in normal skin tissue, in DFUs, and after HBO treatment groups. A quantitative real-time PCR was used to validate tsRNA sequencing results and their targets levels.

Application of the Ipswich Touch Test for diabetic peripheral neuropathy screening: a systematic review and meta-analysis.

Objective: Diabetic peripheral neuropathy (DPN) is one of the most important risk factors of diabetic foot ulcers, and early screening and treatment of DPN are crucial. The Ipswich Touch Test (IPTT) is a new method for screening for DPN and, compared with traditional methods, is more simple to operate and requires no equipment. However, the screening accuracy of IPTT in patients with DPN has not been well characterised.

Sleep Quality in Medical Staffs During the Outbreak of Coronavirus Disease 2019 in China: A Web-Based Cross-Sectional Study.

The aim of this study was to describe the sleep quality and its influencing factors among medical workers of different working statuses and staff types during the coronavirus disease 2019 (COVID-19) epidemic. Through an online questionnaire survey, all medical staffs in Xiangya Hospital were invited to complete sections on general information, the Self-Rating Scale of Sleep (SRSS), the Depression, Anxiety and Stress Scale (DASS-21), the Social Support Rating Scale (SSRS), and the Simplified Coping Style Questionnaire (CSQ). A total of 4,245 respondents completed the survey.

The actuality of resilience, social support and quality of life among patients with inflammatory bowel disease in China.

Aim: This study was conducted to increase knowledge on the actuality of resilience, social support and quality of life among inflammatory bowel disease patients in China to provide evidence for psychological support.

Design: Using convenience sampling, 249 outpatients and inpatients with inflammatory bowel disease from a hospital who completed the questionnaires were enrolled in the analytic questionnaire-based study.

Methods: Demographic information forms, Resilience Scale for Inflammatory Bowel Disease, Social Support Rating Scale and Short Health Scale were administered.

Psychological status of the staff in a general hospital during the outbreak of coronavirus disease 2019 and its influential factors.

Objectives: To understand the psychological status of the staff in a general hospital during the coronavirus disease 2019 and its influential factors, and to provide references for the mental health services to hospital staff.

Methods: Using star platform of questionnaire, the staff in the general hospital were investigated via Depression, Anxiety, Stress Scale (DASS-21), Social Support Rating Scale (SSRS) and Simplified Coping Style Questionnaire (SCSQ). The influential factors were discussed by descriptive analysis, rank sum test, single factor analysis, correlation analysis and multiple factors binary logistic regression analysis.

[Removal of BPA and EE2 from Water by Mn-Fe Embedded in Acicular Mullite].

Acicular mullite was modified by ferromanganese binary metal oxide (Mn-Fe) to improve the removal efficiency of endocrine disruptors by traditional water treatment practices, using the commercial ceramsite for comparison. The physicochemical properties of synthesized samples were characterized, and batch adsorption experiments were carried out to study the adsorption efficiency of bisphenol A (BPA) and 17-ethinylestradiol (EE2) on synthesized samples, investigating how solution chemistry and regeneration may affect the adsorption efficiency. Results show that the manganese oxide loaded on the acicular mullite was manganite with an average particle size of 450 nm.

Health Economic Indicators in Patients With Diabetic Foot: Outpatient Multidisciplinary Management.

The purpose of this study is to investigate the influence of an outpatient multidisciplinary diagnosis and treatment model on the health economic indices of diabetic foot patients. We included 142 diabetic foot patients who received treatment in 2 target hospitals from January to April 2018 in this prospective cohort study. According to their exposure factors, the patients were divided into a MDT group and a control group, with 71 patients in each group.

Incredulity on assumptions for the simplified Bohart-Adams model: 17a-ethinylestradiol separation in lab-scale anthracite columns.

In this study, the original Bohart-Adams model was employed to analyze the experimental data of 17α-ethinylestradiol (EE2) separation in lab-scale anthracite columns with low initial concentration. Besides, the assumptions for the simplified Bohart-Adams model were calculated and discussed. The results revealed that the breakthrough curves of EE2 separation in anthracite columns under different conditions were asymmetrical N-shaped and could be divided into three parts.

[Clinical analysis for patients with diabetic foot among multiple centers in China].

To explore the clinical characteristics, risk factors and factors affecting the severity of the disease in patients with diabetic foot at the current stage through a multi-center cross-sectional survey.
 Methods: Clinical data of 326 patients with diabetic foot (205 males and 121 females) from 13 general hospitals nationwide were collected from October to November 2017 using a unified clinical data collection table. The clinical characteristics were analyzed, and the influential factors for severe diabetic foot were analyzed by logistic regression analysis.

Adsorption characteristics of nitrite on natural filter medium: Kinetic, equilibrium, and site energy distribution studies.

Nitrite is one of the world's major contaminants in drinking water resources, and granular anthracite is often used as filter medium in water treatment. In this study, the adsorption characteristics of nitrite on granular anthracite under various temperatures were investigated through adsorption kinetic, isotherm models, and site energy distribution theory. The adsorption of nitrite on granular anthracite was an endothermic reaction, while intraparticle diffusion was not the only rate control step.

Casticin inhibits breast cancer cell migration and invasion by down-regulation of PI3K/Akt signaling pathway.

Casticin is one of the major active components isolated from Increasing studies have revealed that casticin has potential anticancer activity in various cancer cells, but its effects on breast cancer cell migration and invasion are still not well known. Therefore, the ability of cell migration and invasion in the breast cancer MDA-MB-231 and 4T1 cells treated by casticin was investigated. The results indicated that casticin significantly inhibited cell migration and invasion in the cells exposed to 0.

Analysis of 17α-ethinylestradiol and bisphenol A adsorption on anthracite surfaces by site energy distribution.

17α-Ethinylestradiol (EE2) and bisphenol A (BPA) are highly toxic and widely detected endocrine-disrupting compounds (EDCs) throughout the world in surface waters. Adsorption is an effective way to remove EE2 and BPA from water. However, it is difficult to clearly explain the mechanism of adsorption theoretically only through classic adsorption models.

Characterization of potassium hydroxide modified anthracite particles and enhanced removal of 17α-ethinylestradiol and bisphenol A.

Anthracite is a natural inorganic-organic hybrid environmentally friendly material, which often is used as a filter medium in water treatment. In this study, we processed anthracite particles using potassium hydroxide (KOH) with different concentrations. The anthracites, before and after treatments, were characterized by Brunauer-Emmett-Teller analysis, scanning electron microscopy, Fourier transform infrared spectrometer, X-ray diffraction, X-ray photoelectron spectroscopy, and Boehm titration.