Haixia Qi1 · Tao Zhang2 · Lijie Hou3 · Qi LI4 · Ruiping Huang3 · Lihua Ma1,3
Received: 23 December 2024 / Accepted: 29 March 2025 / Published online: 19 April 2025 © The Author(s) 2025, corrected publication 2025
Abstract
Objective This study aimed to comprehensively review the latest advancements in diabetic foot risk prediction models over the past four years to address the severe challenges posed by diabetic foot ulcers, which are among the leading causes of disability and mortality among diabetic patients. Diabetic foot ulcers are characterized by their complex aetiology, pose a grave threat to life and impose enormous social and economic burdens, thus becoming a critical issue in public health that urgently requires attention. By accurately predicting the risk of diabetic foot and implementing early intervention strategies, this study aimed to reduce its incidence and mortality rates.
Methods This study employed a systematic review and comprehensive analysis framework, conducted extensive searches of electronic databases (including PubMed, EMBASE, the Cochrane Library, CNKI, etc.) and supplemented these searches with manual literature collection to ensure comprehensive information coverage. During the literature screening and evalua-tion phase, strict adherence to the predetermined inclusion and exclusion criteria was maintained to guarantee the high qual-ity of the included studies. Further detailed quality assessments, data extraction, and analysis of the selected literature were conducted, with a focus on exploring the construction strategies of risk prediction models, the selection of key variables, the evaluation indicators of model performance, and the validation methods.
Results By comparing and analysing the differences among studies in terms of methodology, model effectiveness, and prac-tical application potential, this study summarized the development trends of diabetic foot risk prediction models and antici-pated future research directions. These findings indicate that with the assistance of advanced diabetic foot risk prediction models, potential risk factors can be identified and addressed early on, thereby effectively reducing the incidence of diabetic foot and significantly improving patients’ quality of life.
Conclusion This study revealed that diabetic foot risk prediction models have significant effects on accurately identifying risk factors and guiding early interventions, serving as effective tools to reduce the incidence of diabetic foot. Through early identification and intervention, the prognosis and quality of life of patients can be significantly improved, providing impor-tant references and guidance for the field of public health.
Keywords Diabetic foot ulcer · High-risk diabetic foot · Diabetes · Prediction model
Gabriele Angelo Vassallo1 · Tommaso Dionisi2,3 · Vittorio De Vita4 · Giuseppe Augello1 ·Antonio Gasbarrini3,5 · Dario Pitocco6 · Giovanni Addolorato2,3
Received: 25 January 2025 / Accepted: 29 March 2025 / Published online: 19 April 2025 © The Author(s) 2025
Fecal microbiota transplantation (FMT) has emerged as a potential therapeutic strategy for modulating gut dysbiosis in diabetes mellitus. This review critically evaluates preclinical and clinical evidence on FMT in type 1 (T1D) and type 2 dia-betes (T2D). Studies suggest that FMT can restore microbial diversity, improve glycemic control, and modulate immune responses, with varying effects across diabetes subtypes. In T1D, preclinical models demonstrate that FMT influences regulatory T-cell expansion and β-cell preservation, though clinical translation remains limited. In T2D, FMT has shown transient improvements in insulin sensitivity, with sustained effects observed only in patients with specific microbiome signatures. However, heterogeneity in patient responses, donor variability, and methodological limitations complicate its clinical application. This review highlights the interplay between FMT, immune modulation, and microbial metabolism, advocating for phenotype-stratified trials and multi-omics integration to enhance therapeutic precision.
Keywords Fecal microbiota transplantation · Intestinal Microbiome · Diabetes · Insulin sensitivity · Metabolic syndrome · Beta-cell
Abbreviations
FMT Fecal microbiota transplantation TUDCA Tauroursodeoxycholic acid VEGF Vascular endothelial growth factor SCFAs Short-chain fatty acids MMTT Mixed meal tolerance test FVT Fecal virome transplantation OGTT Oral glucose tolerance test SRB Sulfate-reducing bacteria LSI Lifestyle intervention
原创：伤口治疗及造口护理中心
伤口的愈合除了需要良好的环境以外，必不可少的就是需要充足的营养物质的提供。今天小编就给大家介绍一下与伤口愈合紧密相关的一些营养素（分为两次课程）。
原创:伤口治疗及造口护理中心
对于每一个人来说、食物中富含营养素的多少，及其自身吸收利用的程度的高低，将决定着他本人的营养状况。目前对一个人营养状况的评价，大体上是根据我国各类人群中每日膳食营养素供给量的标准米衡量的。对符合每日供给量标准的为营养状况良好，超过的为营养过剩，不足的为营养不良。受历史条件的限制，祖国医学认为人的营养状况取决于饮食结构与进食量是否合理，合理的饮食结构能保障营养素的供给，所以营养状态良好的饮食标准应该是下面几点。
接着我们上一次内容，如果压力性损伤一旦发生，我们的家庭护理重点将从预防转成减缓其发展和促进愈合。那么愈合减缓压力性损伤的发展内？
伤口世界平台生态圈，以“关爱人间所有伤口患者”为愿景，连接、整合和拓展线上和线下的管理慢性伤口的资源，倡导远程、就近和居家管理慢性伤口，解决伤口专家的碎片化时间的价值创造、诊疗经验的裂变复制、和患者的就近、居家和低成本管理慢性伤口的问题。
2019广东省医疗行业协会伤口管理分会年会
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