Association of fibrinogen with HbA1C in diabetic foot ulcer

Pase, M. Aron; Gatot, Dairion; Lindarto, Dharma

doi:10.1088/1755-1315/125/1/012165

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…In terms of the pathogenic mechanism, low ALB could elevate HbA1c levels, 59 which is an important risk factor for lower extremity amputation 60 . FIB has also been shown to positively correlate with HbA1c 61 and to be predictive of amputation 10,62 . FIB contributes to thrombosis, abnormal blood flow and platelet hyperactivity, and accelerates the progression of PAD, 63 which may result in amputation.…”

Section: Discussionmentioning

confidence: 99%

Multicomponent prediction of 2‐year mortality and amputation in patients with diabetic foot using a random survival forest model: Uric acid, alanine transaminase, urine protein and platelet as important predictors

Li,

Tang,

Lao

et al. 2023

International Wound Journal

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The current methods for the prediction of mortality and amputation for inpatients with diabetic foot (DF) use only conventional, simple variables, which limits their performance. Here, we used a random survival forest (RSF) model and multicomponent variables to improve the prediction of mortality and amputation for these patients. We performed a retrospective cohort study of 175 inpatients with DF who were recruited between 2014 and 2021. Thirty‐one predictors in six categories were considered as potential covariates. Seventy percent (n = 122) of the participants were randomly selected to constitute a training set, and 30% (n = 53) were assigned to a testing set. The RSF model was used to screen appropriate variables for their value as predictors of 2‐year all‐cause mortality and amputation, and a multicomponent prediction model was established. Model performance was evaluated using the area under the curve (AUC) and the Hosmer–Lemeshow test. The AUCs were compared using the Delong test. Seventeen variables were selected to predict mortality and 23 were selected to predict amputation. Uric acid and alanine transaminase were the top two most useful variables for the prediction of mortality, whereas urine protein and platelet were the top variables for the prediction of amputation. The AUCs were 0.913 and 0.851 for the prediction of mortality for the training and testing sets, respectively; and the equivalent AUCs were 0.963 and 0.893 for the prediction of amputation. There were no significant differences between the AUCs for the training and testing sets for both the mortality and amputation models. These models showed a good degree of fit. Thus, the RSF model can predict mortality and amputation in inpatients with DF. This multicomponent prediction model could help clinicians consider predictors of different dimensions to effectively prevent DF from clinical outcomes .

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Section: Discussionmentioning

confidence: 99%

Multicomponent prediction of 2‐year mortality and amputation in patients with diabetic foot using a random survival forest model: Uric acid, alanine transaminase, urine protein and platelet as important predictors

Li,

Tang,

Lao

et al. 2023

International Wound Journal

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The role of extracellular matrix in the pathophysiology of diabetic wounds

Huang

Kyriakides

2020

Matrix Biology Plus

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Impaired healing leading to the formation of ulcerated wounds is a critical concern in patients with diabetes. Abnormalities in extracellular matrix (ECM) production and remodeling contribute to tissue dysfunction and delayed healing. Specifically, diabetes-induced changes in the expression and/or activity of structural proteins, ECM-modifying enzymes, proteoglycans, and matricellular proteins have been reported. In this review, we provide a summary of the key ECM molecules and associated changes in skin and diabetic wounds. Such information should allow for new insights in the understanding of impaired wound healing and lead to the development of ECM-based therapeutic strategies.

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