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
四月已接近尾声，五月已悄悄来临，对于每一位护士来说，五月是不平凡的一月。5.12护士节马上就要来临了，小编作为临床护理工作岗位上的普通一员，心里也是异常激动，无论是院里还是市里都筹备着丰富多彩的节目和各项比赛。应领导号召，小编自己也积极参加各项活动。但无奈分身乏术。在此向大家致歉，没有及时更新内容。让各位读者久等了。再次向大家致歉。今天小编就向大家继续讲解关于压力性损伤的相关内容。
人的一生中，从生命开始到生命结束，是一个不断变化的过程。
原创： 张欣 王巍 京医通
糖尿病足是糖尿病最常见的并发症之一，糖尿病患者一生中患足溃疡的风险为10%至25%。糖尿病足感染容易扩散，尤其是深部组织感染，可促进溃疡发展。如果不及时治疗，很可能造成截肢等后果
对于下肢溃疡这个疾病，我们已经在之前介绍过一些了，那么想要更深入的了解及治疗这个疾病，就需要完善的检查还有评估，今天我们来介绍一下，关伊下肢溃疡都需要哪些专业的检查和评估呢？
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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