Skin Grafting in the Treatment of Diabetic Foot Soft Tissue Defects

Bordianu, Anca; Bobircă, Florin; Pătraşcu, T

doi:10.21614/chirurgia.113.5.644

Cited by 17 publications

(15 citation statements)

References 14 publications

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“…Isso demonstra a relevância difundir a oportunidade de aproveitamento desse material biológico para tratamento do pé diabético. No caso da enxertia, esta terapia apresentou-se como uma solução segura, econômica e confiável no manejo de feridas, além de ser uma técnica de intervenção alternativa à amputação, capaz de reduzir o risco de perda de membro e diminuir a morbidade geral das pessoas com DM e pé diabético (25) .…”

Section: Resultsunclassified

Terapias Inovadoras Para Reparo Tecidual Em Pessoas Com Pé Diabético

Cabral¹,

Said²,

Santos³

et al. 2022

Rev. Enferm. Atual In Derme

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Objetivo: Identificar as terapias inovadoras para reparo tecidual em pessoas com pé diabético. Método: Revisão integrativa, conduzida nas bases de dados/portal: Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) e Base de Dados de Enfermagem (BDENF) via Biblioteca Virtual em Saúde (BVS), Scientific Electronic Library Online (SciELO), SCOPUS e PubMed. Foram utilizadas estratégias de buscas, com utilização de descritores do Descritores em Ciências da Saúde (DeSC) e Medical Subject Headings (MeSH), em associação com os operadores booleanos AND e OR. As buscas foram efetuadas em fevereiro de 2022. A triagem e seleção dos artigos contou com auxílio do software Rayyan. Os principais resultados do estudo foram distribuídos em quadros e descritos de forma narrativa. Resultados: Foram incluídos 18 artigos, que evidenciaram 13 terapias inovadoras, sendo duas terapias de origem vegetal: extrato de kiwi e biomembrana de proteínas do látex de Calotropis procera; seis terapias advindas de tecidos humanos: cimento ósseo carregado com antibiótico, plasma autólogo rico em plaquetas, membrana amniótica, derivados do cordão umbilical, enxerto de pele e células mesenquimais derivadas de placenta humana; e cinco terapias permeadas por tecnologias duras: terapia por pressão negativa, ozonioterapia, heberprot-P ®, oxigenoterapia hiperbárica e laserterapia. Foram identificados diversos benefícios no uso dessas terapias, como melhor taxa de cicatrização, redução da taxa de amputação e no tamanho da úlceras. Conclusão: Diversas terapias podem ser utilizadas para tratamento do pé diabético em associação com o tratamento padrão, coadjuvado as chances de cicatrização total, menor risco de amputações, melhora da marcha e qualidade de vida das pessoas com diabetes mellitus e úlceras nos pés.

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Section: Resultsunclassified

Terapias Inovadoras Para Reparo Tecidual Em Pessoas Com Pé Diabético

Cabral¹,

Said²,

Santos³

et al. 2022

Rev. Enferm. Atual In Derme

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“…According to the International Diabetes Federation, the number of people with diabetes worldwide is 500 million in 2019 ( 1 ) and the number is expected to grow to 700 million adults by 2045 ( 2 ). Several complications associated with DM, including heart attack, stroke, blindness, kidney failure, and lower limb amputation ( 3 ) will increase mortality and decrease quality of life ( 2 ). About 19% to 34% of diabetic patients will develop diabetes-related foot ulcers (DFUs) ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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BackgroundDiabetes 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. Deep learning has demonstrated state-of-the-art performance in various fields and has been used to analyze images of DFUs.ObjectiveThis article reviewed current applications of deep learning to the early detection of DFU to avoid limb amputation or infection.MethodsRelevant literature on deep learning models, including in the classification, object detection, and semantic segmentation for images of DFU, published during the past 10 years, were analyzed.ResultsCurrently, the primary uses of deep learning in early DFU detection are related to different algorithms. For classification tasks, improved classification models were all based on convolutional neural networks (CNNs). The model with parallel convolutional layers based on GoogLeNet and the ensemble model outperformed the other models in classification accuracy. For object detection tasks, the models were based on architectures such as faster R-CNN, You-Only-Look-Once (YOLO) v3, YOLO v5, or EfficientDet. The refinements on YOLO v3 models achieved an accuracy of 91.95% and the model with an adaptive faster R-CNN architecture achieved a mean average precision (mAP) of 91.4%, which outperformed the other models. For semantic segmentation tasks, the models were based on architectures such as fully convolutional networks (FCNs), U-Net, V-Net, or SegNet. The model with U-Net outperformed the other models with an accuracy of 94.96%. Taking segmentation tasks as an example, the models were based on architectures such as mask R-CNN. The model with mask R-CNN obtained a precision value of 0.8632 and a mAP of 0.5084.ConclusionAlthough current research is promising in the ability of deep learning to improve a patient’s quality of life, further research is required to better understand the mechanisms of deep learning for DFUs.

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“…In 2013, the health care costs associated with DM cost the US budget 548 billion US dollars, which accounted for 11% of the total health care costs for adults, and by 2035 they are predicted to exceed 627 billion US dollars (Guariguata et al, 2011). Every year in the world, complications of DM become the cause of death in 1.6 million people, and, according to experts, this figure will double in 10 years (Bordianu et al, 2018). Approximately 25% of diabetics are at risk of developing diabetic foot ulcer (DFU), which is the main reason for their hospitalisation, which costs the US 40,000 dollars per event (Ray et al, 2005;Armstrong et al, 2017;Jang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Most specialists consider the conservative approach to their treatment to be the main and determining one, but the duration of such therapy is many months. At the same time, invasive methods of treatment are expensive, and standard schemes of local drug therapy of wound and ulcerative defects are ineffective (Mitish et al, 2014;Bordianu et al, 2018;Yusupova et al, 2017). The slowing down of the healing processes in purulent lesions of DM is due to the presence of polyneuropathy, angiopathy, osteoarthropathy, which are interrelated factors and lead to the development of terrible complications.…”

Section: Introductionmentioning

confidence: 99%

Clinical-functional and morphological parameters of purulonecrotic foci healing in diabetic foot syndrome using programmable sanitation technologies

Сергеев

Глухов

Sorokin

et al. 2021

ijhs

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Diabetes mellitus is currently characterised by a high progressive prevalence of patients. The purpose of this study is to evaluate the clinical, functional, and morphological parameters of purulonecrotic foci healing in diabetic foot syndrome (DFS) using programmable sanitation technologies. The patients were randomised into two groups. In the comparison group (n=51), patients received conventional local treatment after surgery. In the main group (n=55), after surgical treatment, the wound was sutured, and in the postsurgical period, programmable sanitation was conducted using the AMP-01 device. The cytological smears of the main group identified a higher rate of cellular reactions in the wound. There was a 1.3-fold reduction in the duration of hospitalisation, the number of purulent complications was significantly less (p=0.014). It was possible to preserve the supporting function of the foot in patients of the main group in a larger percentage of cases (p=0.023). There was a statistically significant increase in the frequency of high amputations in the comparison group (p=0.026). As a result, the effectiveness of the use of programmable sanitation technologies for purulent lesions of the diabetic foot has been proven.

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Skin Grafting in the Treatment of Diabetic Foot Soft Tissue Defects

Cited by 17 publications

References 14 publications

Terapias Inovadoras Para Reparo Tecidual Em Pessoas Com Pé Diabético

Terapias Inovadoras Para Reparo Tecidual Em Pessoas Com Pé Diabético

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

Clinical-functional and morphological parameters of purulonecrotic foci healing in diabetic foot syndrome using programmable sanitation technologies

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