2021
DOI: 10.1097/won.0000000000000780
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Biomarker Prediction of Postoperative Healing of Diabetic Foot Ulcers

Abstract: PURPOSE:The purpose of this study was to investigate the relationship and to determine potential usefulness of serum albumin as a biomarker for predicting postoperative diabetic foot ulcer (DFU) healing. DESIGN: A retrospective study. SUBJECTS AND SETTING:The sample comprised 266 inpatients with type 2 diabetes receiving care in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. Among them, 174 had DFUs and underwent surgery for foot DFUs including amputation, skin grafting, and flap pr… Show more

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Cited by 6 publications
(2 citation statements)
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“…These findings are in agreement with evidence showing that endothelial dysfunction can disrupt or delay the healing process in CLI patients [9]. Furthermore, in our cohort, the odds of healing of treated DFU were associated with the levels of albumin, leukocytes, and monocytes, in line with other studies showing an association between albumin and DFU healing [14] and with the well-known role of monocyte orchestrating this process [11].…”
Section: Discussionsupporting
confidence: 93%
“…These findings are in agreement with evidence showing that endothelial dysfunction can disrupt or delay the healing process in CLI patients [9]. Furthermore, in our cohort, the odds of healing of treated DFU were associated with the levels of albumin, leukocytes, and monocytes, in line with other studies showing an association between albumin and DFU healing [14] and with the well-known role of monocyte orchestrating this process [11].…”
Section: Discussionsupporting
confidence: 93%
“…While a full evaluation of DFU biomarkers is outside the scope of this review, briefly, some recent reports of wound exudate biomarkers for DFU wound healing include epithelial neutrophil-activating protein (ENA)-78 [ 254 ], c-x-c motif chemokine ligand 6 (CXCL6) [ 255 ], and MMP-9 [ 256 ]. A number of serum biomarkers have been identified, including albumin [ 257 ], PLR and NLR [ 122 , 258 ], angiopoietin-like 2 (ANGPTL2) [ 259 ], lipoprotein-associated phospholipase A2 and interleukin-18 (IL-18) [ 260 ], pentraxin 3 [ 261 ], T-cell differentiation markers [ 262 ], stem/progenitor cells [ 263 ], as well as neutrophil extracellular traps (NETs)-specific markers [ 264 ]. Recent genomic analyses of DFU have utilized circRNAs [ 265 , 266 , 267 ], lncRNAs [ 268 ], miRNAs [ 99 , 100 , 269 ], genetic polymorphisms [ 270 , 271 , 272 ], cytokine arrays [ 273 ], and network maps [ 274 ] for the identification of other potential biomarkers for DFU diagnosis and prognosis.…”
Section: Diagnostic Measuresmentioning
confidence: 99%