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: 十六点五 中山二院糖尿病足中心
经过反复权衡掂量,以及与患者、患者家属沟通,决定对于患者生长比较好的右足采取“点状植皮”,以加速患者伤口愈合,减少伤口的渗出。在进行植皮之前,首先再次对伤口进行清创,尽可能清除可能影响植皮效果的组织,之后装负压(2019年1月24日),准备下周四(2019年1月31日)在手术台上拆负压,直接植皮,之后再装负压,以促进植皮的贴敷,增加植皮的成功率。
2019年1月22日,对患者的足进行了第一次清创,效果如下:
由于各种原因,患者到中心的合作医院治疗了整整两个星期。在不断的微信沟通下,合作医院的医生进行了不懈的努力,患者继续向保足的方向又前进了几步。
周末很快就过去了,今天才想办法将病人收入病房,这两天在病房护士的帮助下,进行安尔碘纱布填塞换药,借助急诊科的留观床进行内科治疗,控制血糖、全身抗生素、监测全身重要脏器功能、营养支持等,由于患者脓液被充分引流,局部炎症反应有所消除,患者全身炎症反应(SIRS)明显改善。
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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